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1. MicroRNA signatures in genetic frontotemporal dementia and amyotrophic lateral sclerosis

Author: Virgilio Kmetzsch, Morwena Latouche, Dario Saracino, Daisy Rinaldi, Agnès Camuzat, Thomas Gareau, the French Research Network on FTD/ALS, Isabelle Le Ber, Olivier Colliot, and Emmanuelle Becker
Subjects: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Objective MicroRNAs are promising biomarkers of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS), but discrepant results between studies have so far hampered their use in clinical trials. We aim to assess all previously identified circulating microRNA signatures as potential biomarkers of genetic FTD and/or ALS, using homogeneous, independent validation cohorts of C9orf72 and GRN mutation carriers. Methods 104 individuals carrying a C9orf72 or a GRN mutation, along with 31 controls, were recruited through the French research network on FTD/ALS. All subjects underwent blood sampling, from which circulating microRNAs were extracted. We measured differences in the expression levels of 65 microRNAs, selected from 15 published studies about FTD or ALS, between 31 controls, 17 C9orf72 presymptomatic subjects, and 29 C9orf72 patients. We also assessed differences in the expression levels of 30 microRNAs, selected from five studies about FTD, between 31 controls, 30 GRN presymptomatic subjects, and 28 GRN patients. Results More than half (35/65) of the selected microRNAs were differentially expressed in the C9orf72 cohort, while only a small proportion (5/30) of microRNAs were differentially expressed in the GRN cohort. In multivariate analyses, only individuals in the C9orf72 cohort could be adequately classified (ROC AUC up to 0.98 for controls versus presymptomatic subjects, 0.94 for controls versus patients, and 0.77 for presymptomatic subjects versus patients) with some of the signatures. Interpretation Our results suggest that previously identified microRNAs using sporadic or mixed cohorts of FTD and ALS patients could potentially serve as biomarkers of C9orf72‐associated disease, but not GRN‐associated disease.
Published: 2022
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2. Plasma lysosphingolipids in GRN-related diseases: Monitoring lysosomal dysfunction to track disease progression

Author: Walid Khrouf, Dario Saracino, Benoit Rucheton, Marion Houot, Fabienne Clot, Daisy Rinaldi, Joana Vitor, Marie Huynh, Evelyne Heng, Dimitri Schlemmer, Florence Pasquier, Vincent Deramecourt, Sophie Auriacombe, Carole Azuar, Richard Levy, Stéphanie Bombois, Claire Boutoleau-Brétonnière, Jérémie Pariente, Mira Didic, David Wallon, Frédérique Fluchère, Stéphane Auvin, Imen Ben Younes, Yann Nadjar, Alexis Brice, Bruno Dubois, Dominique Bonnefont-Rousselot, Isabelle Le Ber, and Foudil Lamari
Subjects: Frontotemporal dementia (FTD), Neuronal ceroid lipofuscinosis-11 (CLN-11), Progranulin, Lysosphingolipids, Lysosome, Lysosomal storage disease (LSD), Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: GRN mutations are among the main genetic causes of frontotemporal dementia (FTD). Considering the progranulin involvement in lysosomal homeostasis, we aimed to evaluate if plasma lysosphingolipids (lysoSPL) are increased in GRN mutation carriers, and whether they might represent relevant fluid-based biomarkers in GRN-related diseases.We analyzed four lysoSPL levels in plasmas of 131 GRN carriers and 142 non-carriers, including healthy controls and patients with frontotemporal dementias (FTD) carrying a C9orf72 expansion or without any mutation. GRN carriers consisted of 102 heterozygous FTD patients (FTD-GRN), three homozygous patients with neuronal ceroid lipofuscinosis-11 (CLN-11) and 26 presymptomatic carriers (PS-GRN), the latter with longitudinal assessments. Glucosylsphingosin d18:1 (LGL1), lysosphingomyelins d18:1 and isoform 509 (LSM18:1, LSM509) and lysoglobotriaosylceramide (LGB3) were measured by electrospray ionization-tandem mass spectrometry coupled to ultraperformance liquid chromatography.Levels of LGL1, LSM18:1 and LSM509 were increased in GRN carriers compared to non-carriers (p
Published: 2023
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3. Early neurotransmitters changes in prodromal frontotemporal dementia: A GENFI study

Author: Enrico Premi, Marta Pengo, Irene Mattioli, Valentina Cantoni, Juergen Dukart, Roberto Gasparotti, Emanuele Buratti, Alessandro Padovani, Martina Bocchetta, Emily G. Todd, Arabella Bouzigues, David M. Cash, Rhian S. Convery, Lucy L. Russell, Phoebe Foster, David L. Thomas, John C. van Swieten, Lize C. Jiskoot, Harro Seelaar, Daniela Galimberti, Raquel Sanchez-Valle, Robert Laforce, Jr, Fermin Moreno, Matthis Synofzik, Caroline Graff, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Kamen A. Tsvetanov, Rik Vandenberghe, Elizabeth Finger, Pietro Tiraboschi, Alexandre de Mendonça, Isabel Santana, Chris R. Butler, Simon Ducharme, Alexander Gerhard, Johannes Levin, Markus Otto, Sandro Sorbi, Isabelle Le Ber, Florence Pasquier, Jonathan D. Rohrer, Barbara Borroni, Aitana Sogorb Esteve, Carolin Heller, Caroline V. Greaves, Henrik Zetterberg, Imogen J. Swift, Kiran Samra, Rachelle Shafei, Carolyn Timberlake, Thomas Cope, Timothy Rittman, Andrea Arighi, Chiara Fenoglio, Elio Scarpini, Giorgio Fumagalli, Vittoria Borracci, Giacomina Rossi, Giorgio Giaccone, Giuseppe Di Fede, Paola Caroppo, Sara Prioni, Veronica Redaelli, David Tang-Wai, Ekaterina Rogaeva, Miguel Castelo-Branco, Morris Freedman, Ron Keren, Sandra Black, Sara Mitchell, Christen Shoesmith, Robart Bartha, Rosa Rademakers, Jackie Poos, Janne M. Papma, Lucia Giannini, Rick van Minkelen, Yolande Pijnenburg, Benedetta Nacmias, Camilla Ferrari, Cristina Polito, Gemma Lombardi, Valentina Bessi, Michele Veldsman, Christin Andersson, Hakan Thonberg, Linn Öijerstedt, Vesna Jelic, Paul Thompson, Tobias Langheinrich, Albert Lladó, Anna Antonell, Jaume Olives, Mircea Balasa, Nuria Bargalló, Sergi Borrego-Ecija, Ana Verdelho, Carolina Maruta, Catarina B. Ferreira, Gabriel Miltenberger, Frederico Simões do Couto, Alazne Gabilondo, Ana Gorostidi, Jorge Villanua, Marta Cañada, Mikel Tainta, Miren Zulaica, Myriam Barandiaran, Patricia Alves, Benjamin Bender, Carlo Wilke, Lisa Graf, Annick Vogels, Mathieu Vandenbulcke, Philip Van Damme, Rose Bruffaerts, Koen Poesen, Pedro Rosa-Neto, Serge Gauthier, Agnès Camuzat, Alexis Brice, Anne Bertrand, Aurélie Funkiewiez, Daisy Rinaldi, Dario Saracino, Olivier Colliot, Sabrina Sayah, Catharina Prix, Elisabeth Wlasich, Olivia Wagemann, Sandra Loosli, Sonja Schönecker, Tobias Hoegen, Jolina Lombardi, Sarah Anderl-Straub, Adeline Rollin, Gregory Kuchcinski, Maxime Bertoux, Thibaud Lebouvier, Vincent Deramecourt, Beatriz Santiago, Diana Duro, Maria João Leitão, Maria Rosario Almeida, Miguel Tábuas-Pereira, and Sónia Afonso
Subjects: Frontotemporal dementia, Frontotemporal lobar degeneration, Genes, Magnetic resonance imaging, Positron emission tomography, Neurotransmitters, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Background: Neurotransmitters deficits in Frontotemporal Dementia (FTD) are still poorly understood. Better knowledge of neurotransmitters impairment, especially in prodromal disease stages, might tailor symptomatic treatment approaches. Methods: In the present study, we applied JuSpace toolbox, which allowed for cross-modal correlation of Magnetic Resonance Imaging (MRI)-based measures with nuclear imaging derived estimates covering various neurotransmitter systems including dopaminergic, serotonergic, noradrenergic, GABAergic and glutamatergic neurotransmission.We included 392 mutation carriers (157 GRN, 164 C9orf72, 71 MAPT), together with 276 non-carrier cognitively healthy controls (HC). We tested if the spatial patterns of grey matter volume (GMV) alterations in mutation carriers (relative to HC) are correlated with specific neurotransmitter systems in prodromal (CDR® plus NACC FTLD = 0.5) and in symptomatic (CDR® plus NACC FTLD≥1) FTD. Results: In prodromal stages of C9orf72 disease, voxel-based brain changes were significantly associated with spatial distribution of dopamine and acetylcholine pathways; in prodromal MAPT disease with dopamine and serotonin pathways, while in prodromal GRN disease no significant findings were reported (p
Published: 2023
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4. Differential early subcortical involvement in genetic FTD within the GENFI cohort

Author: Martina Bocchetta, Emily G. Todd, Georgia Peakman, David M. Cash, Rhian S. Convery, Lucy L. Russell, David L. Thomas, Juan Eugenio Iglesias, John C. van Swieten, Lize C. Jiskoot, Harro Seelaar, Barbara Borroni, Daniela Galimberti, Raquel Sanchez-Valle, Robert Laforce, Fermin Moreno, Matthis Synofzik, Caroline Graff, Mario Masellis, Maria Carmela Tartaglia, James B. Rowe, Rik Vandenberghe, Elizabeth Finger, Fabrizio Tagliavini, Alexandre de Mendonça, Isabel Santana, Chris R. Butler, Simon Ducharme, Alexander Gerhard, Adrian Danek, Johannes Levin, Markus Otto, Sandro Sorbi, Isabelle Le Ber, Florence Pasquier, Jonathan D. Rohrer, Sónia Afonso, Maria Rosario Almeida, Sarah Anderl-Straub, Christin Andersson, Anna Antonell, Silvana Archetti, Andrea Arighi, Mircea Balasa, Myriam Barandiaran, Nuria Bargalló, Robart Bartha, Benjamin Bender, Alberto Benussi, Maxime Bertoux, Anne Bertrand, Valentina Bessi, Sandra Black, Sergi Borrego-Ecija, Jose Bras, Alexis Brice, Rose Bruffaerts, Agnès Camuzat, Marta Cañada, Valentina Cantoni, Paola Caroppo, Miguel Castelo-Branco, Olivier Colliot, Thomas Cope, Vincent Deramecourt, María de Arriba, Giuseppe Di Fede, Alina Díez, Diana Duro, Chiara Fenoglio, Camilla Ferrari, Catarina B. Ferreira, Nick Fox, Morris Freedman, Giorgio Fumagalli, Aurélie Funkiewiez, Alazne Gabilondo, Roberto Gasparotti, Serge Gauthier, Stefano Gazzina, Giorgio Giaccone, Ana Gorostidi, Caroline Greaves, Rita Guerreiro, Carolin Heller, Tobias Hoegen, Begoña Indakoetxea, Vesna Jelic, Hans-Otto Karnath, Ron Keren, Gregory Kuchcinski, Tobias Langheinrich, Thibaud Lebouvier, Maria João Leitão, Albert Lladó, Gemma Lombardi, Sandra Loosli, Carolina Maruta, Simon Mead, Lieke Meeter, Gabriel Miltenberger, Rick van Minkelen, Sara Mitchell, Katrina Moore, Benedetta Nacmias, Annabel Nelson, Jennifer Nicholas, Linn Öijerstedt, Jaume Olives, Sebastien Ourselin, Alessandro Padovani, Jessica Panman, Janne M. Papma, Yolande Pijnenburg, Cristina Polito, Enrico Premi, Sara Prioni, Catharina Prix, Rosa Rademakers, Veronica Redaelli, Daisy Rinaldi, Tim Rittman, Ekaterina Rogaeva, Adeline Rollin, Pedro Rosa-Neto, Giacomina Rossi, Martin Rossor, Beatriz Santiago, Dario Saracino, Sabrina Sayah, Elio Scarpini, Sonja Schönecker, Elisa Semler, Rachelle Shafei, Christen Shoesmith, Imogen Swift, Miguel Tábuas-Pereira, Mikel Tainta, Ricardo Taipa, David Tang-Wai, Paul Thompson, Hakan Thonberg, Carolyn Timberlake, Pietro Tiraboschi, Philip Van Damme, Mathieu Vandenbulcke, Michele Veldsman, Ana Verdelho, Jorge Villanua, Jason Warren, Carlo Wilke, Ione Woollacott, Elisabeth Wlasich, Henrik Zetterberg, and Miren Zulaica
Subjects: Genetic frontotemporal dementia, MRI imaging, Brain volumetry, Presymptomatic stage, Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429
Abstract: Background: Studies have previously shown evidence for presymptomatic cortical atrophy in genetic FTD. Whilst initial investigations have also identified early deep grey matter volume loss, little is known about the extent of subcortical involvement, particularly within subregions, and how this differs between genetic groups. Methods: 480 mutation carriers from the Genetic FTD Initiative (GENFI) were included (198 GRN, 202 C9orf72, 80 MAPT), together with 298 non-carrier cognitively normal controls. Cortical and subcortical volumes of interest were generated using automated parcellation methods on volumetric 3 T T1-weighted MRI scans. Mutation carriers were divided into three disease stages based on their global CDR® plus NACC FTLD score: asymptomatic (0), possibly or mildly symptomatic (0.5) and fully symptomatic (1 or more). Results: In all three groups, subcortical involvement was seen at the CDR 0.5 stage prior to phenoconversion, whereas in the C9orf72 and MAPT mutation carriers there was also involvement at the CDR 0 stage. In the C9orf72 expansion carriers the earliest volume changes were in thalamic subnuclei (particularly pulvinar and lateral geniculate, 9–10%) cerebellum (lobules VIIa-Crus II and VIIIb, 2–3%), hippocampus (particularly presubiculum and CA1, 2–3%), amygdala (all subregions, 2–6%) and hypothalamus (superior tuberal region, 1%). In MAPT mutation carriers changes were seen at CDR 0 in the hippocampus (subiculum, presubiculum and tail, 3–4%) and amygdala (accessory basal and superficial nuclei, 2–4%). GRN mutation carriers showed subcortical differences at CDR 0.5 in the presubiculum of the hippocampus (8%). Conclusions: C9orf72 expansion carriers show the earliest and most widespread changes including the thalamus, basal ganglia and medial temporal lobe. By investigating individual subregions, changes can also be seen at CDR 0 in MAPT mutation carriers within the limbic system. Our results suggest that subcortical brain volumes may be used as markers of neurodegeneration even prior to the onset of prodromal symptoms.
Published: 2021
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5. Interrupted CAG expansions in ATXN2 gene expand the genetic spectrum of frontotemporal dementias

Author: Clémence Fournier, Vincent Anquetil, Agnès Camuzat, Sandrine Stirati-Buron, Véronique Sazdovitch, Laura Molina-Porcel, Sabrina Turbant, Daisy Rinaldi, Raquel Sánchez-Valle, Mathieu Barbier, Morwena Latouche, Neuro-CEB Neuropathology Network, Giovanni Stevanin, Danielle Seilhean, Alexis Brice, Charles Duyckaerts, and Isabelle Le Ber
Subjects: Frontotemporal dementia, Frontotemporal lobar degeneration, TDP-43, Ataxin 2, Amyotrophic lateral sclerosis, C9orf72, Neurology. Diseases of the nervous system, RC346-429
Published: 2018
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6. Autosomal dominant cerebellar ataxias: Imaging biomarkers with high effect sizes

Author: Isaac M. Adanyeguh, Vincent Perlbarg, Pierre-Gilles Henry, Daisy Rinaldi, Elodie Petit, Romain Valabregue, Alexis Brice, Alexandra Durr, and Fanny Mochel
Subjects: Computer applications to medicine. Medical informatics, R858-859.7, Neurology. Diseases of the nervous system, RC346-429
Abstract: Objective: As gene-based therapies may soon arise for patients with spinocerebellar ataxia (SCA), there is a critical need to identify biomarkers of disease progression with effect sizes greater than clinical scores, enabling trials with smaller sample sizes. Methods: We enrolled a unique cohort of patients with SCA1 (n = 15), SCA2 (n = 12), SCA3 (n = 20) and SCA7 (n = 10) and 24 healthy controls of similar age, sex and body mass index. We collected longitudinal clinical and imaging data at baseline and follow-up (mean interval of 24 months). We performed both manual and automated volumetric analyses. Diffusion tensor imaging (DTI) and a novel tractography method, called fixel-based analysis (FBA), were assessed at follow-up. Effect sizes were calculated for clinical scores and imaging parameters. Results: Clinical scores worsened as atrophy increased over time (p 1.2) compared to clinical scores (
Published: 2018
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7. A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseases.

Author: Virgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Vincent Anquetil, Daisy Rinaldi, Agnès Camuzat, Thomas Gareau, Isabelle Le Ber, and Olivier Colliot
Published: 2022
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8. Disease Progression Score Estimation From Multimodal Imaging and MicroRNA Data Using Supervised Variational Autoencoders

Author: Virgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Daisy Rinaldi, Agnes Camuzat, Isabelle Le Ber, Olivier Colliot, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Dynamics, Logics and Inference for biological Systems and Sequences (Dyliss), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), The research leading to these results has received funding from the French government under management of Agence Nationale de la Recherche, references ANR-19-P3IA-0001 (PRAIRIE 3IA Institute), ANR-10-IAIHU-06, project PREV-DEMALS (grant number ANR-14-CE15-0016-07), and from the Inria Project Lab Program (project Neuromarkers)., ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), ANR-14-CE15-0016,PREV-DEMALS,Prédire pour prévenir les démences frontotemporales (DFT) et la sclérose latérale amyotrophique (SLA)(2014), Colliot, Olivier, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, and Appel à projets générique - Prédire pour prévenir les démences frontotemporales (DFT) et la sclérose latérale amyotrophique (SLA) - - PREV-DEMALS2014 - ANR-14-CE15-0016 - Appel à projets générique - VALID
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Deep learning, MicroRNA, Neuroimaging, Health Informatics, Variational autoencoder, Neurodegenerative disease, Disease progression score, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Computer Science Applications, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Multimodal data, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Health Information Management, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Electrical and Electronic Engineering, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; Frontotemporal dementia and amyotrophic lateral sclerosis are rare neurodegenerative diseases with no effective treatment. The development of biomarkers allowing an accurate assessment of disease progression is crucial for evaluating new therapies. Concretely, neuroimaging and transcriptomic (microRNA) data have been shown useful in tracking their progression. However, no single biomarker can accurately measure progression in these complex diseases. Additionally, large samples are not available for such rare disorders. It is thus essential to develop methods that can model disease progression by combining multiple biomarkers from small samples. In this paper, we propose a new framework for computing a disease progression score (DPS) from cross-sectional multimodal data. Specifically, we introduce a supervised multimodal variational autoencoder that can infer a meaningful latent space, where latent representations are placed along a disease trajectory. A score is computed by orthogonal projections onto this path. We evaluate our framework with multiple synthetic datasets and with a real dataset containing 14 patients, 40 presymptomatic genetic mutation carriers and 37 controls from the PREV-DEMALS study. There is no ground truth for the DPS in real-world scenarios, therefore we use the area under the ROC curve (AUC) as a proxy metric. Results with the synthetic datasets support this choice, since the higher the AUC, the more accurate the predicted simulated DPS. Experiments with the real dataset demonstrate better performance in comparison with stateof-the-art approaches. The proposed framework thus leverages cross-sectional multimodal datasets with small sample sizes to objectively measure disease progression, with potential application in clinical trials.
Published: 2022

9. Primary progressive aphasias associated with C9orf72 expansions: Another side of the story

Author: idier Hannequin, Eino Solje, Sabrina Sayah, Emmanuel Gerardin, Marie Sarazin, Florence Pasquier, Marion Houot, Assi-Hervé Oya, Martine Vercelletto, Julien Lagarde, Marie Noguès-Lassiaille, Marie Chupin, Vincent Deramecourt, Sophie Auriacombe, Agnès Camuzat, Marc Teichmann, Jérémie Pariente, Sophie Ferrieux, Lucette Lacomblez, Mathieu Chastan, Jacques Monteil, Yaohua Chen, Marie-Paule Boncoeur, Lorenzo Cipriano, Anne Bissery, Simona Bottani, David Wallon, Christine Delmaire, Carole Roué-Jagot, Benjamin Le Toullec, Bernard-François Michel, Grégory Petyt, Olivier Martinaud, Philippe Couratier, Dario Saracino, Adeline Rollin-Sillaire, Daisy Rinaldi, Mira Didic, Serge Belliard, Amandine Géraudie, Géraldine Lautrette, Frédérique Etcharry-Bouyx, Xavier Delbeuck, Richard Levy, Frédéric Blanc, Mathieu Ceccaldi, Christel Thauvin-Robinet, Marie-Odile Habert, Eve Benchetrit, Maïté Formaglio, Alexis Brice, Isabelle Le Ber, Charles Duyckaerts, Véronique Golfier, Raffaella Migliaccio, Marie-Anne Mackowiak, Catherine Thomas-Antérion, Anne Bertrand, Olivier Colliot, François Sellal, Claire Boutoleau-Bretonnière, Anne M. Remes, Hugo Bertin, Aurélie Funkiewiez, and Stéphanie Bombois
Subjects: medicine.medical_specialty, C9orf72 Protein, Apraxias, Cognitive Neuroscience, Inferior frontal gyrus, Experimental and Cognitive Psychology, Frontotemporal lobar degeneration, respiratory system, Audiology, medicine.disease, Magnetic Resonance Imaging, Apraxia, Primary progressive aphasia, Aphasia, Primary Progressive, Neuropsychology and Physiological Psychology, Atrophy, C9orf72, medicine, Humans, Speech, Orbitofrontal cortex, Psychology, Language, Frontotemporal dementia
Abstract: C9orf72 repeat expansions are rarely associated with primary progressive aphasias (PPA). In-depth characterization of the linguistic deficits, and the underlying patterns of grey-matter atrophy in PPA associated with the C9orf72 expansions (PPA-C9orf72) are currently lacking. In this study, we comprehensively analyzed a unique series of 16 patients affected by PPA-C9orf72. Eleven patients were issued from two independent French and Finnish cohorts, and five were identified by means of literature review. Voxel-based morphometry (VBM) studies were performed on three of them. This study depicts the spectrum of C9orf72–related aphasic phenotypes, and illustrates their linguistic presentation. The non-fluent/agrammatic variant was the most frequent phenotype in our series (9/16 patients, 56%), with apraxia of speech being the main defining feature. Left frontal lobe atrophy was present in these subjects, peaking in inferior frontal gyrus. Three patients (19%) showed the semantic variant, with progression of atrophy in temporo-polar regions, later involving orbitofrontal cortex. Anterior temporal lobe dysfunction was also particularly relevant in two patients (12.5%) with mixed forms of PPA. Lastly, two patients (12.5%) had unclassifiable PPA with predominating word-finding difficulties. No PPA-C9orf72 patients in our series fulfilled the criteria of the logopenic variant. Importantly, this study underlines the role of C9orf72 mutation in the disruption of the most anterior parts of the language network, including prefrontal and temporo-polar areas. It provides guidelines for C9orf72 testing in PPA patients, with important clinical impact as gene-specific therapies are upcoming.
Published: 2021

10. Highlight on Computing disease progression scores using multimodal variational autoencoders trained with neuroimaging and microRNA data

Author: Virgilio Kmetzsch, Emmanuelle Becker, Dario Saracino, Vincent Anquetil, Daisy Rinaldi, Agnès Camuzat, Thomas Gareau, Isabelle Le Ber, Olivier Colliot, Dynamics, Logics and Inference for biological Systems and Sequences (Dyliss), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU), and ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019)
Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
Abstract: International audience
Published: 2022

11. Brain Metabolic Profile in Presymptomatic GRN Carriers Throughout a 5-Year Follow-up

Author: Dario, Saracino, Leila, Sellami, Hugo, Boniface, Marion, Houot, Mélanie, Pélégrini-Issac, Aurélie, Funkiewiez, Daisy, Rinaldi, Maxime, Locatelli, Carole, Azuar, Valérie, Causse-Lemercier, Alice, Jaillard, Florence, Pasquier, Mathieu, Chastan, David, Wallon, Anne, Hitzel, Jeremie, Pariente, Amandine, Pallardy, Claire, Boutoleau-Bretonnière, Eric, Guedj, Mira, Didic, Raffaella, Migliaccio, Aurélie, Kas, Marie-Odile, Habert, Isabelle, Le Ber, Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de médecine nucléaire [Marseille], Université de la Méditerranée - Aix-Marseille 2-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Centre Européen de Recherche en Imagerie médicale (CERIMED), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-École Centrale de Marseille (ECM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Centre National de la Recherche Scientifique (CNRS), Imagerie MOléculaire pour applications THéranostiques personnalisées (IMOTHEP), Institut FRESNEL (FRESNEL), and Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE)
Subjects: Neurology (clinical), [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: Background and ObjectivesGRNvariants are a frequent cause of familial frontotemporal dementia (FTD). Monitoring disease progression in asymptomatic carriers of genetic variants is a major challenge in delivering preventative therapies before clinical onset. This study aimed to assess the usefulness of fluorodeoxyglucose (FDG)–PET in identifying metabolic changes in presymptomaticGRNcarriers (PS-GRN+) and to trace their longitudinal progression.MethodsParticipants were longitudinally evaluated over 5 years in a prospective cohort study focused onGRNdisease (Predict-PGRN). They underwent cognitive/behavioral assessment, plasma neurofilament measurement, brain MRI, and FDG-PET. Voxel-wise comparisons of structural and metabolic imaging data between 2 groups were performed for each time point. Longitudinal PET changes were evaluated with voxel-wise comparisons and the metabolic percent annual changes method. The association of regional brain metabolism with plasma neurofilament and cognitive changes was analyzed.ResultsAmong the 80 individuals enrolled in the study, 58 (27 PS-GRN+ and 31 noncarriers) were included in the analyses. Cross-sectional comparisons between PS-GRN+ and controls found a significant hypometabolism in the left superior temporal sulcus (STS) region (encompassing the middle and superior temporal gyri), approximately 15 years before the expected disease onset, without significant cortical atrophy. The longitudinal metabolic decline over the following 5 years peaked around the right STS in carriers (p< 0.001), without significantly greater volume loss compared with that in controls. Their estimated annualized metabolic decrease (−1.37%) was higher than that in controls (−0.21%,p= 0.004). Lower glucose uptake was associated with higher neurofilament increase (p= 0.003) and lower frontal cognitive scores (p= 0.014) in PS-GRN+.DiscussionThis study detected brain metabolic changes in the STS region, preceding structural and cognitive alterations, thus contributing to the characterization of the pathochronology of preclinicalGRNdisease. Owing to the STS involvement in the perception of facially communicated cues, it is likely that its dysfunction contributes to social cognition deficits characterizing FTD. Overall, our study highlights brain metabolic changes as an early disease-tracking biomarker and proposes annualized percent decrease as a metric to monitor therapeutic response in forthcoming trials.
Published: 2022

12. SLITRK2, an X-linked modifier of the age at onset in C9orf72 frontotemporal lobar degeneration

Author: Barbier, Mathieu, Camuzat, Agnès, Hachimi, Khalid El, Guegan, Justine, Rinaldi, Daisy, Lattante, Serena, Houot, Marion, Sánchez-Valle, Raquel, Sabatelli, Mario, Antonell, Anna, Molina-Porcel, Laura, Clot, Fabienne, Couratier, Philippe, van der Ende, Emma, van der Zee, Julie, Manzoni, Claudia, Camu, William, Cazeneuve, Cécile, Sellal, François, Didic, Mira, Golfier, Véronique, Pasquier, Florence, Duyckaerts, Charles, Rossi, Giacomina, Bruni, Amalia C, Alvarez, Victoria, Gómez-Tortosa, Estrella, de Mendonça, Alexandre, Graff, Caroline, Masellis, Mario, Nacmias, Benedetta, Oumoussa, Badreddine Mohand, Jornea, Ludmila, Forlani, Sylvie, Van Deerlin, Viviana, Rohrer, Jonathan D, Gelpi, Ellen, Rademakers, Rosa, Van Swieten, John, Le Guern, Eric, Van Broeckhoven, Christine, Ferrari, Raffaele, Génin, Emmanuelle, Brice, Alexis, Ber, Le, Isabelle Alexis Brice, Sophie, Auriacombe, Serge, Belliard, Anne, Bertrand, Anne, Bissery, Fre ́ de, ́ ric Blanc, Marie-Paule, Boncoeur, Ste, ́ phanie Bombois, Claire Boutoleau-Bretonnie` re, Agne`, s Camuzat, Mathieu, Ceccaldi, Marie, Chupin, Philippe, Couratier, Olivier, Colliot, Vincent, Deramecourt, Mira, Didic, Bruno, Dubois, Charles, Duyckaerts, Fre ́ de, ́ rique Etcharry-Bouyx, Aure, ́ lie Guignebert-Funkiewiez, Maı ̈te, ́ Formaglio, ́ ronique Golfier, Ve, Marie-Odile, Habert, Didier, Hannequin, Lucette, Lacomblez, Julien, Lagarde, ́ raldine Lautrette, Ge, Isabelle Le Ber, Benjamin Le Toullec, Richard, Levy, Marie-Anne, Mackowiak, Bernard-Franc ̧ois Michel, Florence, Pasquier, Thibaud, Lebouvier, Carole Roue, ́ -Jagot, Christel Thauvin- Robinet, Catherine, Thomas-Anterion, Je ́ re, ́ mie Pariente, Franc ̧ois Salachas, Sabrina, Sayah, Franc ̧ois Sellal, Assi-Herve, ́ Oya, Daisy, Rinaldi, Adeline, Rollin-Sillaire, Martine, Vercelletto, David, Wallon, Armelle, Rametti-Lacroux, Raffaele, Ferrari, Hernandez, Dena G., Nalls, Michael A., Rohrer, Jonathan D., Adaikalavan, Ramasamy, Kwok, John B. J., Carol Dobson- Stone, Brooks, William S., Schofield, Peter R., Halliday, Glenda M., Hodges, John R., Olivier, Piguet, Lauren, Bartley, Elizabeth, Thompson, Isabel Herna, ́ ndez, Agustı ́n Ruiz, Merce`, Boada, Barbara, Borroni, Alessandro, Padovani, Carlos, Cruchaga, Cairns, Nigel J., Luisa, Benussi, Giuliano, Binetti, Roberta, Ghidoni, Gianluigi, Forloni, Diego, Albani, Daniela, Galimberti, Chiara, Fenoglio, Maria, Serpente, Elio, Scarpini, ́ n, Jordi Clarimo, Alberto Lleo, ́, Rafael, Blesa, Maria Landqvist Waldo, ̈, Karin, Nilsson, Christer, Nilsson, Mackenzie, Ian R. A., Hsiung, Ging-Yuek R., Mann, David M. A., Jordan, Grafman, Morris, Christopher M., Johannes, Attems, Griffiths, Timothy D., Mckeith, Ian G., Thomas, Alan J., Pietro, Pietrini, Edward, Uey, Wassermann, Eric M., Atik, Baborie, Evelyn, Jaros, Tierney, Michael C., Pau, Pastor, Cristina, Razquin, Sara, Ortega-Cubero, Elena, Alonso, Robert, Perneczky, Janine, Diehl-Schmid, Panagiotis, Alexopoulos, Alexander, Kurz, Rainero, Innocenzo, Rubino, Elisa, Pinessi, Lorenzo, Ekaterina, Rogaeva, Peter St George-Hyslop, Giacomina, Rossi, Fabrizio, Tagliavini, Giorgio, Giaccone, Rowe, James B., Schlachetzki, Johannes C. M., James, Uphill, John, Collinge, Simon, Mead, Adrian, Danek, Van Deerlin, Vivianna M., Murray, Grossman, Trojanowski, John Q., Julie van der Zee, Christine Van Broeckhoven, Cappa, Stefano F., Isabelle, Leber, Alexis, Brice, Benedetta, Nacmias, Sandro, Sorbi, Silvia, Bagnoli, Irene, Piaceri, Nielsen, Jørgen E., Hjermind, Lena E., Matthias, Riemenschneider, Manuel, Mayhaus, Bernd, Ibach, Gilles, Gasparoni, Sabrina, Pichler, Wei, Gu, Rossor, Martin N., Fox, Nick C., Warren, Jason D., Maria Grazia Spillantini, Morris, Huw R., Patrizia, Rizzu, Peter, Heutink, Snowden, Julie S., Sara, Rollinson, Anna, Richardson, Alexander, Gerhard, Bruni, Amalia C., Raffaele, Maletta, Francesca, Frangipane, Chiara, Cupidi, Livia, Bernardi, Maria, Anfossi, Maura, Gallo, Maria Elena Conidi, Nicoletta, Smirne, Rosa, Rademakers, Matt, Baker, Dickson, Dennis W., Graff-Radford, Neill R., Petersen, Ronald C., David, Knopman, Josephs, Keith A., Boeve, Bradley F., Parisi, Joseph E., Seeley, William W., Miller, Bruce L., Karydas, Anna M., Howard, Rosen, van Swieten, John C., Dopper, Elise G. P., Harro, Seelaar, Pijnenburg, Yolande A. L., Philip, Scheltens, Giancarlo, Logroscino, Rosa, Capozzo, Valeria, Novelli, Puca, Annibale A., Massimo, Franceschi, Alfredo, Postiglione, Graziella, Milan, Paolo, Sorrentino, Mark, Kristiansen, Huei-Hsin, Chiang, Caroline, Graff, Adeline, Rollin, Dimitrios, Kapogiannis, Luigi, Ferrucci, Stuart, Pickering-Brown, Singleton, Andrew B., John, Hardy, Parastoo, Momeni., Neurology, Amsterdam Neuroscience - Neurodegeneration, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Università cattolica del Sacro Cuore = Catholic University of the Sacred Heart [Roma] (Unicatt), Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona (UB), Centre d'investigation clinique Paris Est [CHU Pitié Salpêtrière] (CIC Paris-Est), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Hôpital Dupuytren [CHU Limoges], Erasmus University Medical Center [Rotterdam] (Erasmus MC), Center for Molecular Neurology (VIB-UAntwerp), University of Antwerp (UA), University College of London [London] (UCL), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Service de Neurologie [Hôpitaux Civils de Colmar], Hôpitaux Civils Colmar, Mécanismes Centraux et Périphériques de la Neurodégénérescence, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Yves le Foll, Lille Neurosciences & Cognition - U 1172 (LilNCog), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Fondazione IRCCS Istituto Neurologico 'Carlo Besta', Regional Neurogenetic Centre [Lamezia Terme, Italy] (CRN - ASP Catanzaro), Hospital Central de Asturias, Institute of Health Research of Principado de Asturias (ISPA), Fundación Jiménez Díaz, Fundacion Jimenez Diaz [Madrid] (FJD), Faculdade de Medicina [Lisboa], Universidade de Lisboa = University of Lisbon (ULISBOA), Karolinska University Hospital [Stockholm], Sunnybrook Research Institute [Toronto] (SRI), Sunnybrook Health Sciences Centre, Università degli Studi di Firenze = University of Florence (UniFI), Fondazione Don Carlo Gnocchi, Plateforme Post-génomique de la Pitié-Salpêtrière (PASS-P3S), Unité Mixte de Service Production et Analyse de données en Sciences de la vie et en Santé (PASS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Hospital of the University of Pennsylvania (HUP), Perelman School of Medicine, University of Pennsylvania-University of Pennsylvania, Neurodegenerative Brain Diseases group, Department of Molecular Genetics, VIB, Antwerpen, Belgium, Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), EFS-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), The French clinical and genetic Research network on FTLD/FTLD-ALS and PREVDEMALS, The International Frontotemporal Dementia Genomics Consortium, The European Early Onset Dementia (EU -EOD) Consortium, Brainbank Neuro-CEB Neuropathology Network, and Neurological Tissue Bank of the Biobank Hospital Clinic-IDIBAPS
Subjects: Adult, Male, TDP-43, C9orf72, SLITRK2, amyotrophic lateral sclerosis, frontotemporal dementia, Nerve Tissue Proteins, Settore MED/03 - GENETICA MEDICA, Polymorphism, Single Nucleotide, Cohort Studies, Genes, X-Linked, 80 and over, Medicine, Dementia, Humans, Allele, Age of Onset, Polymorphism, Aged, Aged, 80 and over, biology, C9orf72 Protein, business.industry, Membrane Proteins, MESH: Frontotemporal Lobar Degeneration / epidemiology, Frontotemporal Lobar, Degeneration / genetics, Genes, X-Linked / genetics, Genome-Wide Association Study / methods, Frontotemporal lobar degeneration, Single Nucleotide, Middle Aged, X-Linked, medicine.disease, Amyotrophic lateral sclerosis, Minor allele frequency, Genes, Immunology, Synaptophysin, biology.protein, Female, MESH: Adult, C9orf72 Protein / genetics, Frontotemporal Lobar Degeneration / diagnosis, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Human medicine, Neurology (clinical), MESH: Humans, Membrane Proteins / genetics, Nerve Tissue Proteins / genetics, Polymorphism, Single Nucleotide / genetics, Age of onset, Frontotemporal Lobar Degeneration, business, Frontotemporal dementia, Genome-Wide Association Study
Abstract: The G4C2-repeat expansion in C9orf72 is the most common cause of frontotemporal dementia and of amyotrophic lateral sclerosis. The variability of age at onset and phenotypic presentations is a hallmark of C9orf72 disease. In this study, we aimed to identify modifying factors of disease onset in C9orf72 carriers using a family-based approach, in pairs of C9orf72 carrier relatives with concordant or discordant age at onset. Linkage and association analyses provided converging evidence for a locus on chromosome Xq27.3. The minor allele A of rs1009776 was associated with an earlier onset (P = 1 × 10−5). The association with onset of dementia was replicated in an independent cohort of unrelated C9orf72 patients (P = 0.009). The protective major allele delayed the onset of dementia from 5 to 13 years on average depending on the cohort considered. The same trend was observed in an independent cohort of C9orf72 patients with extreme deviation of the age at onset (P = 0.055). No association of rs1009776 was detected in GRN patients, suggesting that the effect of rs1009776 was restricted to the onset of dementia due to C9orf72. The minor allele A is associated with a higher SLITRK2 expression based on both expression quantitative trait loci (eQTL) databases and in-house expression studies performed on C9orf72 brain tissues. SLITRK2 encodes for a post-synaptic adhesion protein. We further show that synaptic vesicle glycoprotein 2 and synaptophysin, two synaptic vesicle proteins, were decreased in frontal cortex of C9orf72 patients carrying the minor allele. Upregulation of SLITRK2 might be associated with synaptic dysfunctions and drives adverse effects in C9orf72 patients that could be modulated in those carrying the protective allele. How the modulation of SLITRK2 expression affects synaptic functions and influences the disease onset of dementia in C9orf72 carriers will require further investigations. In summary, this study describes an original approach to detect modifier genes in rare diseases and reinforces rising links between C9orf72 and synaptic dysfunctions that might directly influence the occurrence of first symptoms.
Published: 2021

13. Plasma NfL levels and longitudinal change rates in

Author: Dario, Saracino, Karim, Dorgham, Agnès, Camuzat, Daisy, Rinaldi, Armelle, Rametti-Lacroux, Marion, Houot, Fabienne, Clot, Philippe, Martin-Hardy, Ludmila, Jornea, Carole, Azuar, Raffaella, Migliaccio, Florence, Pasquier, Philippe, Couratier, Sophie, Auriacombe, Mathilde, Sauvée, Claire, Boutoleau-Bretonnière, Jérémie, Pariente, Mira, Didic, Didier, Hannequin, David, Wallon, Olivier, Colliot, Bruno, Dubois, Alexis, Brice, Richard, Levy, and Sylvie, Forlani
Subjects: Adult, Aged, 80 and over, Male, C9orf72 Protein, Amyotrophic Lateral Sclerosis, Middle Aged, Progranulins, Neurofilament Proteins, Frontotemporal Dementia, Disease Progression, Humans, Female, Neurogenetics, Aged
Abstract: Objective Neurofilament light chain (NfL) is a promising biomarker in genetic frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). We evaluated plasma neurofilament light chain (pNfL) levels in controls, and their longitudinal trajectories in C9orf72 and GRN cohorts from presymptomatic to clinical stages. Methods We analysed pNfL using Single Molecule Array (SiMoA) in 668 samples (352 baseline and 316 follow-up) of C9orf72 and GRN patients, presymptomatic carriers (PS) and controls aged between 21 and 83. They were longitudinally evaluated over a period of >2 years, during which four PS became prodromal/symptomatic. Associations between pNfL and clinical–genetic variables, and longitudinal NfL changes, were investigated using generalised and linear mixed-effects models. Optimal cut-offs were determined using the Youden Index. Results pNfL levels increased with age in controls, from ~5 to~18 pg/mL (p
Published: 2021

14. Primary Progressive Aphasia Associated With GRN Mutations: New Insights Into the Nonamyloid Logopenic Variant

Author: Bruno Dubois, Audrey Gabelle, François Sellal, Jérémie Pariente, Marie Sarazin, Agnès Camuzat, Raffaella Migliaccio, Frédérique Etcharry-Bouyx, Amandine Geraudie, Sophie Ferrieux, Simona Bottani, Carole Roué-Jagot, Mira Didic, Florence Pasquier, Leila Sellami, Alexis Brice, Olivier Colliot, Fabienne Clot, Marc Teichmann, Didier Hannequin, Christel Thauvin-Robinet, Claire Boutoleau-Bretonnière, Julien Lagarde, Cinzia Coppola, David Wallon, Richard Levy, Marie Noguès-Lassiaille, Dario Saracino, Aurélie Funkiewiez, Maria Luisa Gorno-Tempini, Olivier Martinaud, Isabelle Le Ber, Marion Houot, Stéphane Epelbaum, Sophie Auriacombe, Alexandre Morin, Vincent Deramecourt, Ftd-Als, Philippe Couratier, Daisy Rinaldi, Saracino, Dario, Ferrieux, Sophie, Noguès-Lassiaille, Marie, Houot, Marion, Funkiewiez, Aurélie, Sellami, Leila, Deramecourt, Vincent, Pasquier, Florence, Couratier, Philippe, Pariente, Jérémie, Géraudie, Amandine, Epelbaum, Stéphane, Wallon, David, Hannequin, Didier, Martinaud, Olivier, Clot, Fabienne, Camuzat, Agnè, Bottani, Simona, Rinaldi, Daisy, Auriacombe, Sophie, Sarazin, Marie, Didic, Mira, Boutoleau-Bretonnière, Claire, Thauvin-Robinet, Christel, Lagarde, Julien, Roué-Jagot, Carole, Sellal, Françoi, Gabelle, Audrey, Etcharry-Bouyx, Frédérique, Morin, Alexandre, Coppola, Cinzia, Levy, Richard, Dubois, Bruno, Brice, Alexi, Colliot, Olivier, Luisa Gorno-Tempini, Maria, Teichmann, Marc, Migliaccio, Raffaella, Le Ber, Isabelle, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CHU Lille, CHU Limoges, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuropsychologie et imagerie de la mémoire humaine (NIMH), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Charles Foix [AP-HP], Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Sainte Anne [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital de la Timone [CHU - APHM] (TIMONE), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre hospitalier universitaire de Nantes (CHU Nantes), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), GHU AP-HP Centre Université de Paris, Hôpitaux Civils de Colmar, Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), University of the Study of Campania Luigi Vanvitelli, University of California [San Francisco] (UC San Francisco), University of California (UC), The research leading to these results received funding from the Investissements davenir ANR-11-INBS-0011. This work was funded by the Programme Hospitalier de Recherche Clinique (PHRC) FTLD-exome (to ILB, promotion by Assistance Publique Hôpitaux de Paris), PHRC Predict-PGRN (to ILB, promotion by Assistance Publique Hôpitaux de Paris)., ANR-11-INBS-0011,NeurATRIS,Infrastructure de Recherche Translationnelle pour les Biothérapies en Neurosciences(2011), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), Admin, Oskar, Infrastructures - Infrastructure de Recherche Translationnelle pour les Biothérapies en Neurosciences - - NeurATRIS2011 - ANR-11-INBS-0011 - INBS - VALID, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Toulouse [Toulouse], Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), University of California [San Francisco] (UCSF), University of California, Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Normandie Université (NU)-Normandie Université (NU)-École Pratique des Hautes Études (EPHE)
Subjects: Oncology, medicine.medical_specialty, Apraxia, 050105 experimental psychology, Primary progressive aphasia, 03 medical and health sciences, Dementia aphasia, 0302 clinical medicine, Atrophy, Gyrus, Aphasia, Agrammatism, Internal medicine, medicine, 0501 psychology and cognitive sciences, Prospective cohort study, business.industry, 05 social sciences, respiratory system, medicine.disease, medicine.anatomical_structure, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Neurology (clinical), medicine.symptom, business, 030217 neurology & neurosurgery, Frontotemporal dementia
Abstract: ObjectiveTo determine relative frequencies and linguistic profiles of primary progressive aphasia (PPA) variants associated with GRN (progranulin) mutations and to study their neuroanatomic correlates.MethodsPatients with PPA carrying GRN mutations (PPA-GRN) were selected among a national prospective research cohort of 1,696 patients with frontotemporal dementia, including 235 patients with PPA. All patients with amyloid-positive CSF biomarkers were excluded. In this cross-sectional study, speech/language and cognitive profiles were characterized with standardized evaluations, and gray matter (GM) atrophy patterns using voxel-based morphometry. Comparisons were performed with controls and patients with sporadic PPA.ResultsAmong the 235 patients with PPA, 45 (19%) carried GRN mutations, and we studied 32 of these. We showed that logopenic PPA (lvPPA) was the most frequent linguistic variant (n = 13, 41%), followed by nonfluent/agrammatic (nfvPPA; n = 9, 28%) and mixed forms (n = 8, 25%). Semantic variant was rather rare (n = 2, 6%). Patients with lvPPA, qualified as nonamyloid lvPPA, presented canonical logopenic deficit. Seven of 13 had a pure form; 6 showed subtle additional linguistic deficits not fitting criteria for mixed PPA and hence were labeled as logopenic-spectrum variant. GM atrophy involved primarily left posterior temporal gyrus, mirroring neuroanatomic changes of amyloid-positive-lvPPA. Patients with nfvPPA presented agrammatism (89%) rather than apraxia of speech (11%).ConclusionsThis study shows that the most frequent PPA variant associated with GRN mutations is nonamyloid lvPPA, preceding nfvPPA and mixed forms, and illustrates that the language network may be affected at different levels. GRN testing is indicated for patients with PPA, whether familial or sporadic. This finding is important for upcoming GRN gene–specific therapies.
Published: 2021

15. Plasma NfL levels and longitudinal change rates in C9orf72 and GRN-associated diseases: from tailored references to clinical applications

Author: Fabienne Clot, Florence Pasquier, Didier Hannequin, Olivier Colliot, Armelle Rametti-Lacroux, Sophie Auriacombe, Raffaella Migliaccio, Ludmila Jornea, Marion Houot, Agnès Camuzat, Carole Azuar, Alexis Brice, Mathilde Sauvée, Philippe Martin-Hardy, Richard Levy, Philippe Couratier, Isabelle Le Ber, Jérémie Pariente, Claire Boutoleau-Bretonnière, Karim Dorgham, Dario Saracino, Bruno Dubois, Mira Didic, Daisy Rinaldi, Prev-Demals, David Wallon, Predict-PGRN study groups, Ftd-Als, Sylvie Forlani, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Immunologie et de Maladies Infectieuses (CIMI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Lille 2 - Faculté de Médecine, CHU Limoges, Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire [Grenoble] (CHU), CIC - Nantes, Université de Nantes (UN)-IFR26-Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Institut de Neurosciences des Systèmes (INS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), Hôpital de la Timone [CHU - APHM] (TIMONE), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), The research leading to these results received funding from the ’Investissements d’avenir’ ANR-11- INBS-0011. This work was partially funded by the Programme Hospitalier de Recherche Clinique (PHRC) Predict- PGRN (to ILB, promotion by Assistance Publique–Hôpitaux de Paris), the PHRC FTLD- exome (to ILB, promotion by Assistance Publique–Hôpitaux de Paris), by the ANR- PRTS PREV- DEMALS project (to ILB, grant number ANR-14- CE15-0016-07, promotion by Assistance Publique–Hôpitaux de Paris) and the Fondation Vaincre Alzheimer (to ILB, grant number FR-17035)., ANR-11-INBS-0011,NeurATRIS,Infrastructure de Recherche Translationnelle pour les Biothérapies en Neurosciences(2011), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre d'Immunologie et des Maladies Infectieuses (CIMI), Faculté de Médecine Henri Warembourg - Université de Lille, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), Saracino, Dario, Infrastructures - Infrastructure de Recherche Translationnelle pour les Biothérapies en Neurosciences - - NeurATRIS2011 - ANR-11-INBS-0011 - INBS - VALID, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées
Subjects: Oncology, 0303 health sciences, medicine.medical_specialty, business.industry, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Disease progression, Youden's J statistic, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, medicine.disease, Therapeutic trial, 03 medical and health sciences, Psychiatry and Mental health, 0302 clinical medicine, C9orf72, Internal medicine, Medicine, Biomarker (medicine), Surgery, Neurology (clinical), Amyotrophic lateral sclerosis, business, Trial registration, 030217 neurology & neurosurgery, 030304 developmental biology, Frontotemporal dementia
Abstract: ObjectiveNeurofilament light chain (NfL) is a promising biomarker in genetic frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS). We evaluated plasma neurofilament light chain (pNfL) levels in controls, and their longitudinal trajectories in C9orf72 and GRN cohorts from presymptomatic to clinical stages.MethodsWe analysed pNfL using Single Molecule Array (SiMoA) in 668 samples (352 baseline and 316 follow-up) of C9orf72 and GRN patients, presymptomatic carriers (PS) and controls aged between 21 and 83. They were longitudinally evaluated over a period of >2 years, during which four PS became prodromal/symptomatic. Associations between pNfL and clinical–genetic variables, and longitudinal NfL changes, were investigated using generalised and linear mixed-effects models. Optimal cut-offs were determined using the Youden Index.ResultspNfL levels increased with age in controls, from ~5 to~18 pg/mL (pGRN patients had higher levels than C9orf72 (86.21 vs 39.49 pg/mL, p=0.014), and greater progression rates (ARC:+29.3% vs +24.7%; p=0.016). In C9orf72 patients, levels were associated with the phenotype (ALS: 71.76 pg/mL, FTD: 37.16, psychiatric: 15.3; p=0.003) and remarkably lower in slowly progressive patients (24.11, ARC: +2.5%; p=0.05). Mean ARC was +3.2% in PS and +7.3% in prodromal carriers. We proposed gene-specific cut-offs differentiating patients from controls by decades.ConclusionsThis study highlights the importance of gene-specific and age-specific references for clinical and therapeutic trials in genetic FTD/ALS. It supports the usefulness of repeating pNfL measurements and considering ARC as a prognostic marker of disease progression.Trial registration numbersNCT02590276 and NCT04014673.
Published: 2021

16. Plasma microRNA signature in presymptomatic and symptomatic subjects with C9orf72 -associated frontotemporal dementia and amyotrophic lateral sclerosis

Author: Noémie Robil, Agnès Camuzat, Vincent Anquetil, Isabelle Le Ber, Ivan Moszer, Florence Pasquier, Philippe Couratier, Emmanuelle Becker, Ludmila Jornea, David Wallon, Olivier Colliot, Dario Saracino, Sylvie Forlani, Thomas Gareau, Daisy Rinaldi, Virgilio Kmetzsch, Pierre de la Grange, Dynamics, Logics and Inference for biological Systems and Sequences (Dyliss), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL), Service de Neurologie [CHU Limoges], CHU Limoges, Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), CHU Rouen, Université de Lille, Département de neurologie [Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), GenoSplice [Paris], FRONTLAB: Fonctions et dysfonctions de systèmes frontaux [ICM Paris] (FRONTlab), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), ANR-10-IAHU-0006,IHU-A-ICM,Institut de Neurosciences Translationnelles de Paris(2010), ANR-14-CE15-0016,PREV-DEMALS,Prédire pour prévenir les démences frontotemporales (DFT) et la sclérose latérale amyotrophique (SLA)(2014), ANR-11-INBS-0013,IFB (ex Renabi-IFB),Institut français de bioinformatique(2011), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), École pratique des hautes études (EPHE), Département de neurologie[Lille], Université de Lille, Droit et Santé-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), FRONTlab - Systèmes frontaux : fonctions et dysfonctions (FRONTlab), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Kmetzsch, Virgilio, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, Institut de Neurosciences Translationnelles de Paris - - IHU-A-ICM2010 - ANR-10-IAHU-0006 - IAHU - VALID, Appel à projets générique - Prédire pour prévenir les démences frontotemporales (DFT) et la sclérose latérale amyotrophique (SLA) - - PREV-DEMALS2014 - ANR-14-CE15-0016 - Appel à projets générique - VALID, Infrastructures - Institut français de bioinformatique - - IFB (ex Renabi-IFB)2011 - ANR-11-INBS-0013 - INBS - VALID, Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Oncology, medicine.medical_specialty, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Chromosome 9, Disease, medicine.disease_cause, 03 medical and health sciences, 0302 clinical medicine, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], C9orf72, Internal medicine, microRNA, medicine, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Amyotrophic lateral sclerosis, Prospective cohort study, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, Mutation, business.industry, medicine.disease, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Psychiatry and Mental health, Surgery, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology (clinical), [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], business, 030217 neurology & neurosurgery, Frontotemporal dementia
Abstract: ObjectiveTo identify potential biomarkers of preclinical and clinical progression in chromosome 9 open reading frame 72 gene (C9orf72)-associated disease by assessing the expression levels of plasma microRNAs (miRNAs) in C9orf72 patients and presymptomatic carriers.MethodsThe PREV-DEMALS study is a prospective study including 22 C9orf72 patients, 45 presymptomatic C9orf72 mutation carriers and 43 controls. We assessed the expression levels of 2576 miRNAs, among which 589 were above noise level, in plasma samples of all participants using RNA sequencing. The expression levels of the differentially expressed miRNAs between patients, presymptomatic carriers and controls were further used to build logistic regression classifiers.ResultsFour miRNAs were differentially expressed between patients and controls: miR-34a-5p and miR-345-5p were overexpressed, while miR-200c-3p and miR-10a-3p were underexpressed in patients. MiR-34a-5p was also overexpressed in presymptomatic carriers compared with healthy controls, suggesting that miR-34a-5p expression is deregulated in cases with C9orf72 mutation. Moreover, miR-345-5p was also overexpressed in patients compared with presymptomatic carriers, which supports the correlation of miR-345-5p expression with the progression of C9orf72-associated disease. Together, miR-200c-3p and miR-10a-3p underexpression might be associated with full-blown disease. Four presymptomatic subjects in transitional/prodromal stage, close to the disease conversion, exhibited a stronger similarity with the expression levels of patients.ConclusionsWe identified a signature of four miRNAs differentially expressed in plasma between clinical conditions that have potential to represent progression biomarkers for C9orf72-associated frontotemporal dementia and amyotrophic lateral sclerosis. This study suggests that dysregulation of miRNAs is dynamically altered throughout neurodegenerative diseases progression, and can be detectable even long before clinical onset.Trial registration numberNCT02590276.
Published: 2020

17. Primary Progressive Aphasia Associated With

Author: Dario, Saracino, Sophie, Ferrieux, Marie, Noguès-Lassiaille, Marion, Houot, Aurélie, Funkiewiez, Leila, Sellami, Vincent, Deramecourt, Florence, Pasquier, Philippe, Couratier, Jérémie, Pariente, Amandine, Géraudie, Stéphane, Epelbaum, David, Wallon, Didier, Hannequin, Olivier, Martinaud, Fabienne, Clot, Agnès, Camuzat, Simona, Bottani, Daisy, Rinaldi, Sophie, Auriacombe, Marie, Sarazin, Mira, Didic, Claire, Boutoleau-Bretonnière, Christel, Thauvin-Robinet, Julien, Lagarde, Carole, Roué-Jagot, François, Sellal, Audrey, Gabelle, Frédérique, Etcharry-Bouyx, Alexandre, Morin, Cinzia, Coppola, Richard, Levy, Bruno, Dubois, Alexis, Brice, Olivier, Colliot, Maria Luisa, Gorno-Tempini, Marc, Teichmann, Raffaella, Migliaccio, Isabelle, Le Ber, and Martine, Vercelletto
Subjects: Male, Tomography, Emission-Computed, Single-Photon, Language Tests, Middle Aged, Neuropsychological Tests, Magnetic Resonance Imaging, Cohort Studies, Aphasia, Primary Progressive, Cross-Sectional Studies, Progranulins, Gene Frequency, Frontotemporal Dementia, Mutation, Humans, Speech, Female, Prospective Studies, Atrophy, Biomarkers, Aged
Abstract: To determine relative frequencies and linguistic profiles of primary progressive aphasia (PPA) variants associated withPatients with PPA carryingAmong the 235 patients with PPA, 45 (19%) carriedThis study shows that the most frequent PPA variant associated with
Published: 2020

18. Plasma microRNA signature in presymptomatic and symptomatic subjects with

Author: Virgilio, Kmetzsch, Vincent, Anquetil, Dario, Saracino, Daisy, Rinaldi, Agnès, Camuzat, Thomas, Gareau, Ludmila, Jornea, Sylvie, Forlani, Philippe, Couratier, David, Wallon, Florence, Pasquier, Noémie, Robil, Pierre, de la Grange, Ivan, Moszer, Isabelle, Le Ber, Olivier, Colliot, and Emmanuelle, Becker
Subjects: Adult, Male, C9orf72 Protein, Amyotrophic Lateral Sclerosis, Middle Aged, MicroRNAs, Frontotemporal Dementia, Mutation, Exome Sequencing, Disease Progression, Humans, Female, Biomarkers, Aged
Abstract: To identify potential biomarkers of preclinical and clinical progression in chromosome 9 open reading frame 72 gene (The PREV-DEMALS study is a prospective study including 22Four miRNAs were differentially expressed between patients and controls: miR-34a-5p and miR-345-5p were overexpressed, while miR-200c-3p and miR-10a-3p were underexpressed in patients. MiR-34a-5p was also overexpressed in presymptomatic carriers compared with healthy controls, suggesting that miR-34a-5p expression is deregulated in cases withWe identified a signature of four miRNAs differentially expressed in plasma between clinical conditions that have potential to represent progression biomarkers forNCT02590276.
Published: 2020

19. Plasma progranulin levels for frontotemporal dementia in clinical practice: a 10-year French experience

Author: Leila, Sellami, Benoît, Rucheton, Imen, Ben Younes, Agnès, Camuzat, Dario, Saracino, Daisy, Rinaldi, Stephane, Epelbaum, Carole, Azuar, Richard, Levy, Sophie, Auriacombe, Didier, Hannequin, Jérémie, Pariente, Mathieu, Barbier, Claire, Boutoleau-Bretonnière, Philippe, Couratier, Florence, Pasquier, Vincent, Deramecourt, Mathilde, Sauvée, Marie, Sarazin, Julien, Lagarde, Carole, Roué-Jagot, Sylvie, Forlani, Ludmila, Jornea, Isabelle, David, Eric, LeGuern, Bruno, Dubois, Alexis, Brice, Fabienne, Clot, Foudil, Lamari, Isabelle, Le Ber, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Biochimie Métabolique [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CHU Bordeaux [Bordeaux], Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Génétique médicale et fonctionnelle du cancer et des maladies neuropsychiatriques, Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Toulouse Neuro Imaging Center (ToNIC), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse], Services de Neurologie [CHU Toulouse], CHU Toulouse [Toulouse]-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse], Service de neurologie [Nantes], Université de Nantes (UN)-Centre hospitalier universitaire de Nantes (CHU Nantes)-Hôpital Guillaume-et-René-Laennec [Saint-Herblain], Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Service de Neurologie [CHU Limoges], CHU Limoges, Neuroendocrinologie et physiopathologie neuronale, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Pôle Psychiatrie et Neurologie [Grenoble], Centre Hospitalier Universitaire [Grenoble] (CHU), Neurologie et thérapeutique expérimentale, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR70-Université Pierre et Marie Curie - Paris 6 (UPMC), and Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière]
Subjects: Adult, Male, Heterozygote, Sex Characteristics, Time Factors, Progranulin (GRN), Plasma progranulin levels, Middle Aged, SEPIA, Progranulins, Predictive Value of Tests, Mutation, C9orf72, Humans, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, France, Age of Onset, Frontotemporal Lobar Degeneration, Biomarkers, Frontotemporal dementia, Aged
Abstract: International audience; GRN mutations are frequent causes of familial frontotemporal degeneration. Although there is no clear consensual threshold, plasma progranulin levels represent an efficient biomarker for predicting GRN mutations when decreased. We evaluated plasma levels to determine whether it could also predict age at onset, clinical phenotype, or disease progression in 160 GRN carriers. Importantly, progranulin levels were influenced by gender, with lower levels in male than in female patients in our study. Although we found no correlation with age at onset or with clinical phenotype, we confirmed that decreased level predicts GRN mutations, even in presymptomatic carriers more than four decades before disease onset. We also provided first evidence for the stability of levels throughout longitudinal trajectory in carriers, over a 4-year time span. Finally, we confirmed that progranulin levels constitute a reliable, cost-effective marker, suitable as a screening tool in patients with familial frontotemporal degeneration, and more broadly in patients without family history or with atypical presentations who are less likely to be referred for molecular diagnosis.
Published: 2020

20. Cognitive inhibition impairments in presymptomatic

Author: Maxime, Montembeault, Sabrina, Sayah, Daisy, Rinaldi, Benjamin, Le Toullec, Anne, Bertrand, Aurélie, Funkiewiez, Dario, Saracino, Agnès, Camuzat, Philippe, Couratier, Marianne, Chouly, Didier, Hannequin, Carole, Aubier-Girard, Florence, Pasquier, Xavier, Delbeuck, Olivier, Colliot, Bénédicte, Batrancourt, Carole, Azuar, Richard, Lévy, Bruno, Dubois, Isabelle, Le Ber, Raffaella, Migliaccio, and David, Wallon
Subjects: Adult, Male, Heterozygote, Inhibition, Psychological, C9orf72 Protein, Brain, Humans, Cognitive Dysfunction, Female, Middle Aged, Neuropsychological Tests
Abstract: To investigate cognitive inhibition in presymptomaticThirty-eight presymptomaticC9+ individuals younger than 40 years had higher error scores (part B) but equivalent HSCT time to completion (part B-part A) compared to C9- individuals. C9+ individuals older than 40 years had both higher error scores and longer time to completion. HSCT time to completion significantly predicted the proximity to estimated clinical conversion from presymptomatic to symptomatic phase in C9+ individuals (based on the average age at onset of affected relatives in the family). Anatomically, we found that HSCT time to completion was associated with the integrity of the cerebellum.The HSCT represents a good marker of cognitive inhibition impairments in C9+ and of proximity to clinical conversion. This study also highlights the key role of the cerebellum in cognitive inhibition.
Published: 2019

21. Presymptomatic spinal cord pathology in c9orf72 mutation carriers: a longitudinal neuroimaging study

Author: Olivier Colliot, Dario Saracino, Isabelle Le Ber, Agnès Camuzat, Mélanie Pélégrini-Issac, Véronique Marchand-Pauvert, Menghan Li, Daisy Rinaldi, François Salachas, Peter Bede, Mohamed-Mounir El Mendili, Giorgia Querin, Julien Cohen-Adad, Martin Catala, Pierre-François Pradat, Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Fédération des Maladies du Système Nerveux, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), École Polytechnique de Montréal (EPM), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), This study was supported by the Assistance Publique – Hôpitaux de Paris (Clinical Research and Development Department) grant ANR/DGOS PRTS 2015 -2019 PrevDemAls (to I.L.B.), the 'Investissements d’avenir' ANR-10-IAIHU-06 (Agence Nationale de la Recherche-10-Investissements-Avenir Institut-Hospitalo-Universitaire-06), the Centre d’Investigation Clinique (CIC 1422), and the Centre pour l’Acquisition et le Traitement des Images (CATI) platform, at IHU-A-ICM, Paris, France. Peter Bede is supported by the Health Research Board (HRB EIA-2017-019), the Andrew Lydon scholarship, the Irish Institute of Clinical Neuroscience IICN − Novartis Ireland Research Grant, and the Iris O'Brien Foundation., ANR-19-P3IA-0001,PRAIRIE,PaRis Artificial Intelligence Research InstitutE(2019), Colliot, Olivier, PaRis Artificial Intelligence Research InstitutE - - PRAIRIE2019 - ANR-19-P3IA-0001 - P3IA - VALID, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Pathology, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, 0302 clinical medicine, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Longitudinal Studies, Prospective Studies, Amyotrophic lateral sclerosis, medicine.diagnostic_test, Middle Aged, 3. Good health, medicine.anatomical_structure, Neurology, Spinal Cord, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Frontotemporal Dementia, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], medicine.symptom, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Frontotemporal dementia, Adult, medicine.medical_specialty, Heterozygote, Neuroimaging, Asymptomatic, 03 medical and health sciences, Young Adult, Atrophy, Fractional anisotropy, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Aged, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, C9orf72 Protein, business.industry, Amyotrophic Lateral Sclerosis, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Magnetic resonance imaging, medicine.disease, Spinal cord, 030104 developmental biology, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Corticospinal tract, Asymptomatic Diseases, Mutation, Neurology (clinical), business, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: International audience; OBJECTIVE:C9orf72 hexanucleotide repeats expansions account for almost half of familial amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) cases. Recent imaging studies in asymptomatic C9orf72 carriers have demonstrated cerebral white (WM) and gray matter (GM) degeneration before the age of 40 years. The objective of this study was to characterize cervical spinal cord (SC) changes in asymptomatic C9orf72 hexanucleotide carriers.METHODS:Seventy-two asymptomatic individuals were enrolled in a prospective study of first-degree relatives of ALS and FTD patients carrying the c9orf72 hexanucleotide expansion. Forty of them carried the pathogenic mutation (C9+ ). Each subject underwent quantitative cervical cord imaging. Structural GM and WM metrics and diffusivity parameters were evaluated at baseline and 18 months later. Data were analyzed in C9+ and C9- subgroups, and C9+ subjects were further stratified by age.RESULTS:At baseline, significant WM atrophy was detected at each cervical vertebral level in C9+ subjects older than 40 years without associated changes in GM and diffusion tensor imaging parameters. At 18-month follow-up, WM atrophy was accompanied by significant corticospinal tract (CST) fractional anisotropy (FA) reductions. Intriguingly, asymptomatic C9+ subjects older than 40 years with family history of ALS (as opposed to FTD) also exhibited significant CST FA reduction at baseline.INTERPRETATION:Cervical SC imaging detects WM atrophy exclusively in C9+ subjects older than 40 years, and progressive CST FA reductions can be identified on 18-month follow-up. Cervical SC magnetic resonance imaging readily captures presymptomatic pathological changes and disease propagation in c9orf72-associated conditions. ANN NEUROL 2019;86:158-167.
Published: 2019

22. Neurite density is reduced in the presymptomatic phase of C9orf72 disease

Author: Anne Bertrand, Daisy Rinaldi, Olivier Colliot, Hui Zhang, Isabelle Le Ber, Alexandre Routier, Stanley Durrleman, Philippe Couratier, Florence Pasquier, Didier Hannequin, Daniel C. Alexander, Marion Houot, Jiaying Zhang, Junhao Wen, Sorbonne Université (SU), Centre for Medical Image Computing (CMIC), University College of London [London] (UCL), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), CHU Rouen, Normandie Université (NU), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de neurologie 1 [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: Pathology, medicine.medical_specialty, Neurite, business.industry, Frontotemporal lobar degeneration, Grey matter, medicine.disease, White matter, [STAT]Statistics [stat], 03 medical and health sciences, Psychiatry and Mental health, 0302 clinical medicine, Atrophy, medicine.anatomical_structure, C9orf72, Medicine, Surgery, [INFO]Computer Science [cs], Neurology (clinical), Amyotrophic lateral sclerosis, business, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: ObjectiveTo assess the added value of neurite orientation dispersion and density imaging (NODDI) compared with conventional diffusion tensor imaging (DTI) and anatomical MRI to detect changes in presymptomatic carriers of chromosome 9 open reading frame 72 (C9orf72) mutation.MethodsThe PREV-DEMALS (Predict to Prevent Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis) study is a prospective, multicentre, observational study of first-degree relatives of individuals carrying the C9orf72 mutation. Sixty-seven participants (38 presymptomatic C9orf72 mutation carriers (C9+) and 29 non-carriers (C9−)) were included in the present cross-sectional study. Each participant underwent one single-shell, multishell diffusion MRI and three-dimensional T1-weighted MRI. Volumetric measures, DTI and NODDI metrics were calculated within regions of interest. Differences in white matter integrity, grey matter volume and free water fraction between C9+ and C9− individuals were assessed using linear mixed-effects models.ResultsCompared with C9−, C9+ demonstrated white matter abnormalities in 10 tracts with neurite density index and only 5 tracts with DTI metrics. Effect size was significantly higher for the neurite density index than for DTI metrics in two tracts. No tract had a significantly higher effect size for DTI than for NODDI. For grey matter cortical analysis, free water fraction was increased in 13 regions in C9+, whereas 11 regions displayed volumetric atrophy.ConclusionsNODDI provides higher sensitivity and greater tissue specificity compared with conventional DTI for identifying white matter abnormalities in the presymptomatic C9orf72 carriers. Our results encourage the use of neurite density as a biomarker of the preclinical phase.Trial registration numberNCT02590276.
Published: 2019

23. NODDI Highlights Promising New Markers In Presymptomatic C9orf72 Carriers

Author: Junhao Wen, Hui Zhang, Daniel Alexander, Stanley Durrleman, Alexandre Routier, Daisy Rinaldi, Marion Houot, Jiaying Zhang, Olivier Colliot, Isabelle Le Ber, Anne Bertrand, Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University College of London [London] (UCL), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Service de Neuroradiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de neurologie 1 [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, ComputingMilieux_MISCELLANEOUS, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Abstract: International audience
Published: 2018

24. Neurite density is reduced in the presymptomatic phase of

Author: Junhao, Wen, Hui, Zhang, Daniel C, Alexander, Stanley, Durrleman, Alexandre, Routier, Daisy, Rinaldi, Marion, Houot, Philippe, Couratier, Didier, Hannequin, Florence, Pasquier, Jiaying, Zhang, Olivier, Colliot, Isabelle, Le Ber, Anne, Bertrand, and David, Wallon
Subjects: Adult, Male, Heterozygote, C9orf72 Protein, Amyotrophic Lateral Sclerosis, Brain, Middle Aged, Diffusion Tensor Imaging, Case-Control Studies, Asymptomatic Diseases, Mutation, Neurites, Humans, Family, Female, Frontotemporal Lobar Degeneration
Abstract: To assess the added value of neurite orientation dispersion and density imaging (NODDI) compared with conventional diffusion tensor imaging (DTI) and anatomical MRI to detect changes in presymptomatic carriers of chromosome 9 open reading frame 72 (The PREV-DEMALS (Predict to Prevent Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis) study is a prospective, multicentre, observational study of first-degree relatives of individuals carrying theCompared withNODDI provides higher sensitivity and greater tissue specificity compared with conventional DTI for identifying white matter abnormalities in the presymptomaticNCT02590276.
Published: 2018

25. Novel VCP mutations expand the mutational spectrum of frontotemporal dementia

Author: Didier Hannequin, Agnès Camuzat, Yassaman Ghassab, Isabelle David, Sylvie Forlani, Morwena Latouche, Dario Saracino, Eric Le Guern, Lena Guillot-Noel, Cinzia Coppola, Mira Didic, Daisy Rinaldi, Vincent Anquetil, Lucie Guyant-Maréchal, Alexis Brice, Ftd-Als, Fabienne Clot, Giuseppe Di Iorio, Isabelle Le Ber, Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Second Division of Neurology, Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, University of Campania 'Luigi Vanvitelli', Naples, Italy, Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital de la Timone [CHU - APHM] (TIMONE), Otten, Lisa, Saracino, Dario, Clot, Fabienne, Camuzat, Agnè, Anquetil, Vincent, Hannequin, Didier, Guyant-Maréchal, Lucie, Didic, Mira, Guillot-Noël, Léna, Rinaldi, Daisy, Latouche, Morwena, Forlani, Sylvie, Ghassab, Yassaman, Coppola, Cinzia, Di Iorio, Giuseppe, David, Isabelle, Le Guern, Eric, Brice, Alexi, Le Ber, Isabelle, CHU Pitié-Salpêtrière [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: 0301 basic medicine, Male, Aging, Valosin-containing protein, Mutation, Missense, Frontotemporal lobar degeneration, medicine.disease_cause, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Valosin Containing Protein, medicine, Dementia, Humans, Amyotrophic lateral sclerosis, Gene, Amyotrophic lateral sclerosi, ComputingMilieux_MISCELLANEOUS, Aged, Genetics, Mutation, biology, [SCCO.NEUR]Cognitive science/Neuroscience, General Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, TAR DNA binding protein 43, Middle Aged, medicine.disease, Pedigree, 030104 developmental biology, Paget's disease of bone, Frontotemporal Dementia, biology.protein, Neurology (clinical), Geriatrics and Gerontology, 030217 neurology & neurosurgery, Developmental Biology, Frontotemporal dementia
Abstract: Valosin-containing protein (VCP) mutations are rare causes of autosomal dominant frontotemporal dementias associated with Paget's disease of bone, inclusion body myopathy, and amyotrophic lateral sclerosis. We analyzed the VCP gene in a cohort of 199 patients with frontotemporal dementia and identified 7 heterozygous mutations in unrelated families, including 3 novel mutations segregating with dementia. This expands the VCP mutation spectrum and suggests that although VCP mutations are rare (3.5% in this study), the gene should be analyzed even in absence of the full syndromic complex. Reporting genetic variants with convincing arguments for pathogenicity is important considering the large amount of data generated by next-generation sequencing and the growing difficulties to interpret rare genetic variants identified in isolated cases.
Published: 2018

26. In vivo neurometabolic profiling in patients with spinocerebellar ataxia types 1, 2, 3, and 7

Author: Alexis Brice, C Jauffret, Dinesh K. Deelchand, Pierre-Gilles Henry, Daisy Rinaldi, Gülin Öz, Alexandra Durr, Tra My Nguyen, Romain Valabregue, Uzay E. Emir, Fanny Mochel, Lynn E. Eberly, and Isaac M. Adanyeguh
Subjects: Cerebellum, Pathology, medicine.medical_specialty, Ataxia, Movement disorders, business.industry, medicine.disease, Pons, Atrophy, medicine.anatomical_structure, Neurology, medicine, Cerebellar vermis, Spinocerebellar ataxia, Neurology (clinical), medicine.symptom, business, Machado–Joseph disease
Abstract: Spinocerebellar ataxias (SCAs) belong to polyglutamine repeat disorders and are characterized by a predominant atrophy of the cerebellum and the pons. Proton magnetic resonance spectroscopy (1H MRS) using an optimized semiadiabatic localization by adiabatic selective refocusing (semi-LASER) protocol was performed at 3 T to determine metabolite concentrations in the cerebellar vermis and pons of a cohort of patients with SCA1 (n = 16), SCA2 (n = 12), SCA3 (n = 21), and SCA7 (n = 12) and healthy controls (n = 33). Compared with controls, patients displayed lower total N-acetylaspartate and, to a lesser extent, lower glutamate, reflecting neuronal loss/dysfunction, whereas the glial marker, myoinositol (myo-Ins), was elevated. Patients also showed higher total creatine as reported in Huntington's disease, another polyglutamine repeat disorder. A strong correlation was found between the Scale for the Assessment and Rating of Ataxia and the neurometabolites in both affected regions of patients. Principal component analyses confirmed that neuronal metabolites (total N-acetylaspartate and glutamate) were inversely correlated in the vermis and the pons to glial (myo-Ins) and energetic (total creatine) metabolites, as well as to disease severity (motor scales). Neurochemical plots with selected metabolites also allowed the separation of SCA2 and SCA3 from controls. The neurometabolic profiles detected in patients underlie cell-specific changes in neuronal and astrocytic compartments that cannot be assessed by other neuroimaging modalities. The inverse correlation between metabolites from these two compartments suggests a metabolic attempt to compensate for neuronal damage in SCAs. Because these biomarkers reflect dynamic aspects of cellular metabolism, they are good candidates for proof-of-concept therapeutic trials. © 2015 International Parkinson and Movement Disorder Society
Published: 2015

27. Triheptanoin improves brain energy metabolism in patients with Huntington disease

Author: Alexandra Dürr, Pierre-Gilles Henry, Isaac M. Adanyeguh, Romain Valabregue, Daisy Rinaldi, Fanny Mochel, and Samantha Caillet
Subjects: Adult, Male, Brain activation, medicine.medical_specialty, Magnetic Resonance Spectroscopy, Energy metabolism, Stimulation, Disease, Biology, Article, Phosphocreatine, Young Adult, chemistry.chemical_compound, Inorganic phosphate, Internal medicine, medicine, Humans, In patient, Triglycerides, Brain, Middle Aged, Triheptanoin, Huntington Disease, Endocrinology, chemistry, Female, Neurology (clinical), Energy Metabolism
Abstract: Objective: Based on our previous work in Huntington disease (HD) showing improved energy metabolism in muscle by providing substrates to the Krebs cycle, we wished to obtain a proof-of-concept of the therapeutic benefit of triheptanoin using a functional biomarker of brain energy metabolism validated in HD. Methods: We performed an open-label study using 31 P brain magnetic resonance spectroscopy (MRS) to measure the levels of phosphocreatine (PCr) and inorganic phosphate (Pi) before (rest), during (activation), and after (recovery) a visual stimulus. We performed 31 P brain MRS in 10 patients at an early stage of HD and 13 controls. Patients with HD were then treated for 1 month with triheptanoin after which they returned for follow-up including 31 P brain MRS scan. Results: At baseline, we confirmed an increase in Pi/PCr ratio during brain activation in controls—reflecting increased adenosine triphosphate synthesis—followed by a return to baseline levels during recovery ( p = 0.013). In patients with HD, we validated the existence of an abnormal brain energy profile as previously reported. After 1 month, this profile remained abnormal in patients with HD who did not receive treatment. Conversely, the MRS profile was improved in patients with HD treated with triheptanoin for 1 month with the restoration of an increased Pi/PCr ratio during visual stimulation ( p = 0.005). Conclusion: This study suggests that triheptanoin is able to correct the bioenergetic profile in the brain of patients with HD at an early stage of the disease. Classification of evidence: This study provides Class III evidence that, for patients with HD, treatment with triheptanoin for 1 month restores an increased MRS Pi/PCr ratio during visual stimulation.
Published: 2015

28. Factors influencing the age at onset in familial frontotemporal lobar dementia: Important weight of genetics

Author: Kathy Larcher, Florence Pasquier, Emmanuelle Génin, Marion Houot, Alexis Brice, Jérémie Pariente, Didier Hannequin, Paola Caroppo, Agnès Camuzat, Clémence Fournier, Audrey Sabbagh, Isabelle Le Ber, Fabienne Clot, Daisy Rinaldi, and Mathieu Barbier
Subjects: 0301 basic medicine, Genetics, Genetic counseling, Heritability, Biology, medicine.disease, Explained variation, Article, Correlation, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, C9orf72, medicine, Dementia, Variance components, Neurology (clinical), Amyotrophic lateral sclerosis, 030217 neurology & neurosurgery, Genetics (clinical)
Abstract: Objective:To quantify the effect of genetic factors and generations influencing the age at onset (AAO) in families with frontotemporal lobar dementia (FTD) due to C9ORF72 hexanucleotide repeat expansions and GRN mutations.Methods:We studied 504 affected individuals from 133 families with C9ORF72 repeat expansions and 90 FTD families with mutations in GRN, 2 major genes responsible for FTD and/or amyotrophic lateral sclerosis. Intrafamilial correlations of AAO were analyzed, and variance component methods were used for heritability estimates. Generational effects on hazard rates for AAO were assessed using mixed-effects Cox proportional hazard models.Results:A generational effect influencing AAO was detected in both C9ORF72 and GRN families. Nevertheless, the estimated proportion of AAO variance explained by genetic factors was high in FTD caused by C9ORF72 repeat expansions (44%; p = 1.10e−4), 62% when the AAO of dementia was specifically taken into account (p = 8.10e−5), and to a lesser degree in GRN families (26%; p = 0.17). Intrafamilial correlation analyses revealed a significant level of correlations in C9ORF72 families according to the degree of kinship. A pattern of intrafamilial correlations also suggested potential X-linked modifiers acting on AAO. Nonsignificant correlation values were observed in GRN families.Conclusions:Our results provide original evidence that genetic modifiers strongly influence the AAO in C9ORF72 carriers, while their effects seem to be weaker in GRN families. This constitutes a rational to search for genetic biomarkers, which could help to improve genetic counseling, patient care, and monitoring of therapeutic trials.
Published: 2017

29. A double-blind, placebo-controlled trial of triheptanoin in adult polyglucosan body disease and open-label, long-term outcome

Author: Isabelle Ledoux, Derek M. Blankenship, Raphael Schiffmann, Karine Martin, H. Orhan Akman, Mary E. Wallace, Marie-Pierre Luton, Jacob Turner, Scott Coleman, Daisy Rinaldi, Fanny Mochel, and Jean-Yves Hogrel
Subjects: 0301 basic medicine, Adult, Male, Pediatrics, medicine.medical_specialty, Placebo-controlled study, Walk Test, Walking, Placebo, law.invention, 03 medical and health sciences, chemistry.chemical_compound, Disability Evaluation, 0302 clinical medicine, Randomized controlled trial, Double-Blind Method, law, Genetics, medicine, Humans, Genetics (clinical), Triglycerides, Aged, Cross-Over Studies, business.industry, Adult polyglucosan body disease, Middle Aged, Glycogen Storage Disease, Crossover study, Confidence interval, Triheptanoin, 030104 developmental biology, Treatment Outcome, chemistry, Cohort, Regression Analysis, Female, Nervous System Diseases, business, 030217 neurology & neurosurgery
Abstract: Adult polyglucosan body disease (APBD) is a progressive neurometabolic disorder caused by a deficiency of glycogen branching enzyme. We tested the efficacy of triheptanoin as a therapy for patients with APBD based on the hypothesis that decreased glycogen degradation leads to brain energy deficit. This was a two-site, randomized crossover trial of 23 patients (age 35–73 years; 63% men) who received triheptanoin or vegetable oil as placebo. The trial took place over 1 year and was followed by a 4-year open-label phase. Generalized linear mixed models were used to analyze this study. At baseline, using the 6-min walk test, patients could walk a mean of 389 ± 164 m (range 95–672; n = 19), highlighting the great clinical heterogeneity of our cohort. The overall mean difference between patients on triheptanoin versus placebo was 6 m; 95% confidence interval (CI) −11 to 22; p = 0.50. Motion capture gait analysis, gait quality, and stair climbing showed no consistent direction of change. All secondary endpoints were statistically nonsignificant after false discovery rate adjustment. Triheptanoin was safe and generally well tolerated. During the open-label phase of the study, the most affected patients at baseline kept deteriorating while mildly disabled patients remained notably stable up to 4 years. We cannot conclude that triheptanoin was effective in the treatment of APBD over a 6-month period, but we found it had a good safety profile. This study also emphasizes the difficulty of conducting trials in very rare diseases presenting with a wide clinical heterogeneity. ClinicalTrials.gov Identifier: NCT00947960.
Published: 2017

30. [P3–364]: ACCELERATED SUBCORTICAL ATROPHY DURING AGING IN PRESYMPTOMATIC CARRIERS OF C9ORF72 MUTATION

Author: Florence Pasquier, Agnès Camuzat, Anne Bertrand, Daisy Rinaldi, Junhao Wen, Alexandre Routier, Sabrina Fontanella, Philippe Couratier, Olivier Colliot, Alexis Brice, Stanley Durrleman, Olivier Martinaud, and Isabelle Le Ber
Subjects: Pathology, medicine.medical_specialty, Epidemiology, business.industry, Health Policy, Subcortical atrophy, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, C9orf72, Mutation (genetic algorithm), medicine, Neurology (clinical), Geriatrics and Gerontology, business
Published: 2017

31. Low cancer prevalence in polyglutamine expansion diseases

Author: Ouahid Lagha Boukbiza, Daisy Rinaldi, Mathieu Anheim, Alhassane Diallo, Perrine Charles, Alexis Brice, Alina Tataru, Morgane Sonia Thion, Cecilia Marelli, Alexandra Durr, Fabienne Calvas, Sandrine Humbert, Claire Ewenczyk, Fanny Mochel, Giulia Coarelli, Christine Tranchant, Marie-Lorraine Monin, Sophie Tezenas du Montcel, Bertrand Carlander, Maya Tchikviladzé, Institut de biologie de l'ENS Paris (IBENS), Département de Biologie - ENS Paris, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Centre d'investigation clinique de Toulouse (CIC 1436), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Pôle Santé publique et médecine publique [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de biologie de l'ENS Paris (UMR 8197/1024) (IBENS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Département de Biologie - ENS Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)
Subjects: 0301 basic medicine, Male, medicine.medical_specialty, Pathology, [SDV]Life Sciences [q-bio], Population, Disease, medicine.disease_cause, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Neoplasms, Medicine, Humans, Spinocerebellar Ataxias, Genetic Predisposition to Disease, education, Retrospective Studies, education.field_of_study, business.industry, Neurodegeneration, Retrospective cohort study, Middle Aged, medicine.disease, Confidence interval, 3. Good health, Europe, 030104 developmental biology, Huntington Disease, Spinocerebellar ataxia, Female, Neurology (clinical), Skin cancer, business, Carcinogenesis, Peptides, 030217 neurology & neurosurgery
Abstract: Objective:Polyglutamine (PolyQ) diseases are dominantly transmitted neurologic disorders, caused by coding and expanded CAG trinucleotide repeats. Cancer was reported retrospectively to be rare in patients with PolyQ diseases and we aimed to investigate its prevalence in France.Methods:Consecutive patients with Huntington disease (HD) and spinocerebellar ataxia (SCA) were questioned about cancer, cardiovascular diseases, and related risk factors in 4 university hospitals in Paris, Toulouse, Strasbourg, and Montpellier. Standardized incidence ratios (SIR), based on age- and sex-adjusted rate of the French population, were assessed for different types of cancer.Results:We questioned 372 patients with HD and 134 patients with SCA. SIR showed significantly reduced risk of cancer in HD: 23 observed cases vs 111.05 expected ones (SIR 0.21, 95% confidence interval [CI] 0.13–0.31), as well as in SCA: 7 observed cases vs 34.73 expected (SIR 0.23, 95% CI 0.08–0.42). This was surprising since risk behavior for cancer was increased in these patients, with significantly greater tobacco and alcohol consumption in patients with HD vs patients with SCA (p < 0.0056). There was no association between CAG repeat size and cancer or cardiovascular disease. However, in patients with HD, skin cancers were more frequent than expected (5 vs 0.98, SIR 5.11, 95% CI 1.65–11.95).Conclusions:There was a decreased cancer rate in PolyQ diseases despite high incidence of risk factors. Intriguingly, skin cancer incidence was higher, suggesting a crosstalk between neurodegeneration and skin tumorigenesis.
Published: 2016

32. Triheptanoin dramatically reduces paroxysmal motor disorder in patients with GLUT1 deficiency

Author: Laurent Servais, Bénédicte Héron, Sandrine Vuillaumier, Elsa Kaphan, Domitille Gras, Emmanuel Roze, Raphael Schiffmann, Romain Valabregue, Elodie Hainque, Samantha Caillet, Chris Ottolenghi, Isaac M. Adanyeguh, Agathe Roubertie, Fanny Mochel, Jean-Yves Hogrel, Daisy Rinaldi, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de neuropédiatrie [Debré], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Robert Debré, CHU Trousseau [APHP], Institut des Neurosciences de Montpellier (INM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Neuro-Oncologie [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Center for NeuroImaging Research-Human MRI Neuroimaging core facility for clinical research [ICM Paris] (CENIR), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Biochimie Hormonale et Génétique, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Baylor Research Institute, Baylor College of Medecine, Université Paris Descartes - Paris 5 (UPD5), Laboratoire de Biochimie Métabolique, CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de Myologie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute ( ICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -CHU Pitié-Salpêtrière [APHP], Service de génétique [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Pitié-Salpêtrière [APHP], Service d'Explorations Fonctionnelles Neurologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Robert Debré, Service de diabétologie [CHU Pitié-Salpétrière], Service de Neuropédiatrie [CHU Trousseau], Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Trousseau [APHP], Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs ( INM ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Montpellier ( UM ), Aix Marseille Université ( AMU ) -Assistance Publique - Hôpitaux de Marseille ( APHM ) - Hôpital de la Timone [CHU - APHM] ( TIMONE ), Centre de Neuro-Imagerie de Recherche ( CENIR ), Assistance publique - Hôpitaux de Paris (AP-HP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Université Paris Descartes - Paris 5 ( UPD5 ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Assistance publique - Hôpitaux de Paris (AP-HP)-Association française contre les myopathies ( AFM-Téléthon ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], CHU Pitié-Salpêtrière [APHP]-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Robert Debré, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Trousseau [APHP], Institut des Neurosciences de Montpellier - Déficits sensoriels et moteurs (INM), Centre de Neuro-Imagerie de Recherche (CENIR), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Université Pierre et Marie Curie - Paris 6 (UPMC)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Neuroradiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Trousseau [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Association française contre les myopathies (AFM-Téléthon)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de Diabétologie [CHU Pitié-Salpétrière], and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Subjects: Male, 0301 basic medicine, Motor disorder, Magnetic Resonance Spectroscopy, Movement disorders, Phosphocreatine, Pilot Projects, chemistry.chemical_compound, 0302 clinical medicine, Young adult, Child, Glucose Transporter Type 1, Movement Disorders, Middle Aged, 3. Good health, Triheptanoin, Psychiatry and Mental health, METABOLIC DISEASE, Cardiology, Female, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Occipital Lobe, medicine.symptom, Adult, medicine.medical_specialty, Adolescent, Phosphates, Young Adult, 03 medical and health sciences, Chorea, Internal medicine, medicine, Humans, Triglycerides, business.industry, Functional Neuroimaging, Therapeutic effect, medicine.disease, Surgery, 030104 developmental biology, chemistry, [ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology (clinical), Energy Metabolism, business, Occipital lobe, 030217 neurology & neurosurgery
Abstract: Objective:On the basis of our previous work with triheptanoin, which provides key substrates to the Krebs cycle in the brain, we wished to assess its therapeutic effect in patients with glucose transporter type 1 deficiency syndrome (GLUT1-DS) who objected to or did not tolerate ketogenic diets. Methods:We performed an open-label pilot study with three phases of 2 months each (baseline, treatment and withdrawal) in eight patients with GLUT1-DS (7–47 years old) with non-epileptic paroxysmal manifestations. We used a comprehensive patient diary to record motor and non-motor paroxysmal events. Functional31P-NMR spectroscopy was performed to quantify phosphocreatine (PCr) and inorganic phosphate (Pi) within the occipital cortex during (activation) and after (recovery) a visual stimulus. Results:Patients with GLUT1-DS experienced a mean of 30.8 (±27.7) paroxysmal manifestations (52% motor events) at baseline that dropped to 2.8 (±2.9, 76% motor events) during the treatment phase (p=0.028). After withdrawal, paroxysmal manifestations recurred with a mean of 24.2 (±21.9, 52% motor events; p=0.043). Furthermore, brain energy metabolism normalised with triheptanoin, that is, increased Pi/PCr ratio during brain activation compared to the recovery phase (p=0.021), and deteriorated when triheptanoin was withdrawn. Conclusions:Treatment with triheptanoin resulted in a 90% clinical improvement in non-epileptic paroxysmal manifestations and a normalised brain bioenergetics profile in patients with GLUT1-DS. Trial registration number:NCT02014883.
Published: 2016

33. Abnormal response to cortical activation in early stages of Huntington disease

Author: Daisy Rinaldi, Tra My Nguyen, Pierre-Gilles Henry, Dinesh K. Deelchand, Fanny Mochel, Alexandra Durr, Pierre G. Carlier, Romain Valabregue, and Claire Wary
Subjects: 0303 health sciences, medicine.medical_specialty, business.industry, Stimulation, Disease, 3. Good health, Cortex (botany), Phosphocreatine, 03 medical and health sciences, chemistry.chemical_compound, Adenosine diphosphate, 0302 clinical medicine, Inorganic phosphate, Endocrinology, Neurology, chemistry, In vivo, Internal medicine, Medicine, Neurology (clinical), business, Adenosine triphosphate, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: Background: We wished to identify noninvasive in vivo biomarkers of brain energy deficit in Huntington disease. Methods: We studied 15 early affected patients (mean motor United Huntington Disease Rating Scale, 18 ± 9) and 15 age- and sex-matched controls. We coupled 31phosphorus nuclear magnetic resonance spectroscopy with activation of the occipital cortex in order to measure the relative concentrations of adenosine triphosphate, phosphocreatine, and inorganic phosphate before, during, and after visual stimulation. Results: In controls, we observed an 11% increase in the inorganic phosphate/phosphocreatine ratio (P = .024) and a 13% increase in the inorganic phosphate/adenosine triphosphate ratio (P = .016) during brain activation, reflecting increased adenosine diphosphate concentrations. Subsequently, controls had a return to baseline levels during recovery (P = .012 and .022, respectively). In contrast, both ratios were unchanged in patients during and after visual stimulation. Conclusions: 31Phosphorus nuclear magnetic resonance spectroscopy could provide functional biomarkers of brain energy deficit to monitor therapeutic efficacy in Huntington disease. © 2012 Movement Disorder Society
Published: 2012

34. Expanded neurochemical profile in the early stage of Huntington disease using proton magnetic resonance spectroscopy

Author: Pierre-Gilles Henry, Alexandra Durr, Fanny Mochel, Stéphane Lehéricy, Isaac M. Adanyeguh, Leorah Freeman, Daisy Rinaldi, Marie Lorraine Monin, Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and HAL-UPMC, Gestionnaire
Subjects: Adult, Male, medicine.medical_specialty, Movement disorders, Proton Magnetic Resonance Spectroscopy, [SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Striatum, Neurotransmission, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Glutamatergic, 0302 clinical medicine, Neurochemical, Internal medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Spectroscopy, Visual Cortex, 2. Zero hunger, business.industry, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Glutamate receptor, Middle Aged, Neostriatum, Glutamine, Huntington Disease, Endocrinology, Visual cortex, medicine.anatomical_structure, Metabolome, Molecular Medicine, Female, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: International audience; The striatum is a well-known region affected in Huntington disease (HD). However, other regions, including the visual cortex, are implicated. We have identified previously an abnormal energy response in the visual cortex of patients at an early stage of HD using 31P magnetic resonance spectroscopy (31P MRS). We therefore sought to further characterize these metabolic alterations with 1H MRS using a well-validated semi-localized by adiabatic selective refocusing (semi-LASER) sequence that allows the measurement of an expanded number of neurometabolites. Ten early affected patients [Unified Huntington Disease Rating Scale (UHDRS), total motor score = 13.6 ± 10.8] and 10 healthy volunteers of similar age and body mass index (BMI) were recruited for the study. We performed 1H MRS in the striatum – the region that is primarily affected in HD – and the visual cortex. The protocol allowed a reliable quantification of 10 metabolites in the visual cortex and eight in the striatum, compared with three to five metabolites in previous 1H MRS studies performed in HD. We identified higher total creatine (p < 0.05) in the visual cortex and lower glutamate (p < 0.001) and total creatine (p < 0.05) in the striatum of patients with HD compared with controls. Less abundant neurometabolites [glutamine, γ-aminobutyric acid (GABA), glutathione, aspartate] showed similar concentrations in both groups. The protocol allowed the measurement of several additional metabolites compared with standard vendor protocols. Our study points to early changes in metabolites involved in energy metabolism in the visual cortex and striatum of patients with HD. Decreased striatal glutamate could reflect early neuronal dysfunction or impaired glutamatergic neurotransmission.
Published: 2018

35. [Untitled]

Author: Joëlle Adrien, Daisy Rinaldi, Georges Chapouthier, Patrice Venault, and Benjamin Boutre
Subjects: Benzodiazepine, medicine.drug_class, GABAA receptor, musculoskeletal, neural, and ocular physiology, Pharmacology, gamma-Aminobutyric acid, chemistry.chemical_compound, nervous system, chemistry, Genetics, medicine, Inverse agonist, Pentylenetetrazol, Receptor, Diazepam, Genetics (clinical), Ecology, Evolution, Behavior and Systematics, medicine.drug, Picrotoxin
Abstract: Two mouse lines were selectively bred according to their sensitivity (BS line) or resistance (BR line) to seizures induced by a single i.p. injection of methyl β-carboline-3-carboxylate (β-CCM), an inverse agonist of the GABAA receptor benzodiazepine site. Our aim was to characterize both lines' sensitivities to various physiological effects of other ligands of the GABAA receptor. We measured diazepam-induced anxiolysis with the elevated plus-maze test, diazepam-induced sedation by recording the vigilance states, and picrotoxin- and pentylenetetrazol-induced seizures after i.p. injections. Results presented here show that the differential sensitivities of BS and BR lines to β-CCM can be extended to diazepam, picrotoxin, and pentylenetetrazol, suggesting a genetic selection of a general sensitivity and resistance to several ligands of the GABAA receptor.
Published: 2000

36. Thalamocortical relationships and network synchronization in a new genetic model 'in mirror' for absence epilepsy

Author: Daisy Rinaldi, Jacques Louvel, Benoît Martin, S. Gigout, René Pumain, Epilepsies de l'Enfant et Plasticité Cérébrale (U1129), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Epilepsies de l'Enfant et Plasticité Cérébrale ( U1129 ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière ( CRICM ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Senhadji, Lotfi
Subjects: Thalamus, Neocortex, 03 medical and health sciences, Epilepsy, chemistry.chemical_compound, Mice, 0302 clinical medicine, Organ Culture Techniques, Genetic model, medicine, Animals, [ SDV.IB ] Life Sciences [q-bio]/Bioengineering, Cortical Synchronization, Molecular Biology, 030304 developmental biology, [SDV.IB] Life Sciences [q-bio]/Bioengineering, 0303 health sciences, Models, Genetic, General Neuroscience, Spike-and-wave, Electroencephalography, medicine.disease, Cortex (botany), Disease Models, Animal, medicine.anatomical_structure, chemistry, Epilepsy, Absence, CNQX, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Neurology (clinical), Psychology, Neuroscience, 030217 neurology & neurosurgery, Developmental Biology
Abstract: International audience; Electroencephalographic generalized spike and wave discharges (SWD), the hallmark of human absence seizures, are generated in thalamocortical networks. However, the potential alterations in these networks in terms of the efficacy of the reciprocal synaptic activities between the cortex and the thalamus are not known in this pathology. Here, the efficacy of these reciprocal connections is assessed in vitro in thalamocortical slices obtained from BS/Orl mice, which is a new genetic model of absence epilepsy. These mice show spontaneous SWD, and their features can be compared to that of BR/Orl mice, which are free of SWD. In addition, since gap junctions may modulate the efficacy of these connections, their implications in pharmacologically-induced epileptiform discharges were studied in the same slices. The thalamus and neocortex were independently stimulated and the electrically-evoked responses in both structures were recorded from the same slice. The synaptic efficacy of thalamocortical and corticothalamic connections were assessed by measuring the dynamic range of synaptic field potential changes in response to increasing stimulation strengths. The connection efficacy was weaker in epileptic mice however, this decrease in efficacy was more pronounced in thalamocortical afferents, thus introducing an imbalance in the reciprocal connections between the cortex and thalamus. However, short-term facilitation of the thalamocortical responses were increased in epileptic mice compared to non-epileptic animals. These features may favor occurrence of rhythmical activities in thalamocortical networks. In addition, carbenoxolone (a gap junction blocker) decreased the cumulative duration of 4-aminopyridine-induced ictal-like activities, with a slower time course in epileptic mice. However, the 4-aminopyridine-induced GABA-dependent negative potentials, which appeared to trigger the ictal-like activities, remained. Our results show that the balance of the reciprocal connections between the thalamus and cortex is altered in favor of the corticothalamic connections in epileptic mice, and suggest that gap junctions mediate a stronger cortical synchronization in this strain.
Published: 2013

37. Identification of robust biomarkers of neuronal and glial metabolic changes in spinocerebellar ataxia type 1, 2, 3 & 7

Author: Isaac Adanyeguh, Pierre-Gilles Henry, Tra M. Nguyen, Daisy Rinaldi, Céline Jauffret, Romain Valabregue, Uzay Emir, Dinesh Deelchand, Alexis Brice, Gülin Öz, Alexandra Durr, Fanny Mochel, Isaac Adanyeguh, Pierre-Gilles Henry, Tra M. Nguyen, Daisy Rinaldi, Céline Jauffret, Romain Valabregue, Uzay Emir, Dinesh Deelchand, Alexis Brice, Gülin Öz, Alexandra Durr, and Fanny Mochel
Published: 2014
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38. N04 Anaplerotic Therapy Using Triheptanoin Improves Brain Energy Metabolism In Patients With Huntington Disease

Author: Romain Valabregue, Alexandra Durr, Samantha Caillet, Pierre-Gilles Henry, Isaac M. Adanyeguh, Daisy Rinaldi, and Fanny Mochel
Subjects: medicine.medical_specialty, Energy metabolism, Stimulation, Disease, Pathophysiology, Triheptanoin, Psychiatry and Mental health, chemistry.chemical_compound, chemistry, Internal medicine, medicine, Cardiology, Surgery, Brain magnetic resonance imaging, In patient, Neurology (clinical), Psychology, Neuroscience, The Krebs Cycle
Abstract: Background Energy deficit has been implicated in the pathophysiology of Huntington disease (HD). Our previous work indicated a possibility of improving energy deficit by providing substrates to the Krebs cycle using anaplerotic therapies. Aims Here our goal was to obtain a proof-of-concept of the therapeutic benefit of triheptanoin in an open-label study using a functional biomarker of brain energy metabolism validated in HD. Methods 31P brain magnetic resonance spectroscopy (MRS) was used to measure the levels of PCr and Pi before (rest), during (activation) and after (recovery) a visual stimulus. We performed 31P brain MRS in 10 patients at an early stage of HD and 13 controls. HD patients were then treated for one month with triheptanoin after which they returned for follow-up including 31P brain MRS scan. Results At baseline, we confirmed an increase in Pi/PCr ratio during brain activation in controls -- reflecting increased ATP synthesis -- followed by a significant return to baseline levels during recovery (p = 0.003). In HD patients, we validated the existence of an abnormal brain energy profile as previously reported. After one month, this profile remained abnormal in HD patients without treatment. Conversely, the MRS profile was significantly improved in HD patients treated with triheptanoin for one month with the restoration of an increased Pi/PCr ratio during visual stimulation (p = 0.004). Conclusions This study suggests that triheptanoin is able to correct the bioenergetic profile in the brain of HD patients at an early stage of the disease.
Published: 2014

39. Unexpected absence of correlation between the genetic mechanisms regulating beta-carboline-induced seizures and anxiety manifested in an elevated plus-maze test

Author: Georges Chapouthier, Daisy Rinaldi, Benoît Martin, and Vanessa Larrigaldie
Subjects: Male, Elevated plus maze, medicine.medical_specialty, medicine.drug_class, Convulsants, Mice, Inbred Strains, Anxiety, Social Environment, Behavioral Neuroscience, Epilepsy, Mice, Inbred strain, Species Specificity, Internal medicine, Convulsion, medicine, Inverse agonist, Animals, Maze Learning, Benzodiazepine, GABAA receptor, medicine.disease, Receptors, GABA-A, Endocrinology, Phenotype, Female, medicine.symptom, Psychology, Arousal, Neuroscience, Carbolines
Abstract: Among the ligands of the benzodiazepine site, one can mention the benzodiazepines as agonists and some beta-carbolines (e.g. methyl-beta-carboline-3-carboxylate, abbreviated hereafter beta-CCM) as inverse agonists. Most benzodiazepines and beta-carbolines act on processes involved in memory, anxiety, and convulsions with opposite physiological effects. Since these molecules have influences on both anxiety and convulsions, we predicted that there would exist a genetic correlation between anxiety evaluated in an elevated plus-maze and susceptibility to beta-CCM-induced seizures. Using inbred strains of mice, the genetic correlation was estimated with the Hegmann and Possidente model. An absence of genetic correlation was found, showing that the mechanisms responsible for basal anxiety measured with the elevated plus-maze test and those leading to susceptibility to beta-CCM-induced seizures do not share the same genetic pathways.
Published: 2001

40. G13 Abnormal responses to visual cortex activation in early stage Huntington disease patients using 31P-NMR spectroscopy

Author: Daisy Rinaldi, Fanny Mochel, Claire Wary, T-M Nguyen, Alexandra Durr, P-G Henry, Romain Valabregue, Dinesh K. Deelchand, and Pierre G. Carlier
Subjects: medicine.medical_specialty, Pathology, ATP synthase, biology, Bioenergetics, business.industry, Stimulation, Stimulus (physiology), Phosphocreatine, Psychiatry and Mental health, chemistry.chemical_compound, Visual cortex, medicine.anatomical_structure, Endocrinology, chemistry, In vivo, Internal medicine, biology.protein, Pi, medicine, Surgery, Neurology (clinical), business
Abstract: Objective To test the hypothesis that brain energy metabolism is abnormal in patients at an early stage of Huntington disease (HD). Background Energy metabolism has been a major focus of HD research for many years due to several observations in both patients and models of the disease. However, there are currently no in vivo biomarkers of brain energy metabolism in HD. Methods We coupled noninvasive 31P-NMR spectroscopy with activation of the occipital cortex in order to measure the levels of ATP, phosphocreatine (PCr) and inorganic phosphate (Pi) before, during and after a visual stimulus. We studied 15 HD patients at an early stage of the disease (mean motor UHDRS =18±9) and 15 age- and sex-matched controls. Results In controls, we observed an 11% increase in Pi/PCr ratio (p=0.024) and a 13% increase in Pi/ATP ratio (p=0.016) during brain activation, reflecting increased ATP synthesis and ADP levels. Subsequently, controls had a return to baseline levels during recovery (p=0.012 et 0.022 respectively). In HD patients, both Pi/PCr and Pi/ATP ratios were unchanged during and after visual stimulation, reflecting altered mitochondrial bioenergetics. In addition, in HD patients the ratio of Pi/ATP correlated with the UHDRS score during the activation (p=0.014) and recovery periods (p=0.009), while Pi/PCr ratio correlated with the UHDRS score during recovery (p=0.016), reflecting a correlation between brain energy metabolism and disease severity in HD. Conclusions 31Phosphorus nuclear magnetic resonance spectroscopy could provide functional biomarkers of brain energy deficit to monitor therapeutic efficacy in Huntington disease.
Published: 2012

41. Abnormal Responses to Visual Cortex Activation in Early Stage Huntington Disease Patients Using 31P-NMR Spectroscopy (P06.033)

Author: Fanny Mochel, Tra-My Nguyen, Claire Wary, Romain Valabregue, Pierre G. Carlier, Dinesh K. Deelchand, Alexandra Durr, Pierre-Gilles Henry, and Daisy Rinaldi
Subjects: medicine.medical_specialty, ATP synthase, biology, Bioenergetics, business.industry, Stimulation, Disease, Phosphocreatine, chemistry.chemical_compound, Endocrinology, chemistry, In vivo, Internal medicine, biology.protein, Pi, medicine, Neurology (clinical), Trinucleotide repeat expansion, business, Neuroscience
Abstract: Objective: To test the hypothesis that brain energy metabolism is abnormal in patients at an early stage of Huntington disease (HD). Background HD is an autosomal dominant neurodegenerative disease caused by a CAG repeat expansion in the HTT gene. Energy metabolism has been a major focus of HD research for many years due to several observations in both patients and models of the disease. However, there are currently no in vivo biomarkers of brain energy metabolism in HD. Design/Methods: We coupled noninvasive 31P-nuclear magnetic resonance spectroscopy (NMRS) with activation of the occipital cortex in order to measure the levels of ATP, phosphocreatine (PCr) and inorganic phosphate (Pi) before, during and after a visual stimulus. We studied 15 HD patients at an early stage of the disease (mean motor UHDRS= 18 ±9) and 15 age- and sex-matched controls. Results: In controls, we observed an 11% increase in Pi/PCr ratio (p=0.012) and a 13% increase in Pi/ATP ratio (p=0.008) during brain activation, reflecting increased ATP synthesis and ADP levels. Subsequently, controls had a return to baseline levels during recovery (p=0.006 et 0.011 respectively). In HD patients, both Pi/PCr and Pi/ATP ratios were unchanged during and after visual stimulation, reflecting altered mitochondrial bioenergetics. In addition, in HD patients the ratio of Pi/ATP correlated with the UHDRS score during the activation (p=0.014) and recovery periods (p=0.009), while Pi/PCr ratio correlated with the UHDRS score during recovery (p=0.016), reflecting a correlation between brain energy metabolism and disease severity in HD. Conclusions: We have identified noninvasive functional biomarkers of brain energy deficit to assess therapeutic efficacy in HD. We are now extending our 31P-NMRS studies to presymptomatic individuals. Disclosure: Dr. Mochel has nothing to disclose. Dr. Nguyen has nothing to disclose. Dr. Deelchand has nothing to disclose. Dr. Rinaldi has nothing to disclose. Dr. Valabregue has nothing to disclose. Dr. Wary has nothing to disclose. Dr. Carlier has nothing to disclose. Dr. Durr has nothing to disclose. Dr. Henry has nothing to disclose.
Published: 2012

42. Early Cognitive, Structural, and Microstructural Changes in Presymptomatic C9orf72 Carriers Younger Than 40 Years

Author: Isabelle Le Ber, Clémence Fournier, Junhao Wen, Sabrina Sayah, Alexis Brice, Richard Levy, Daisy Rinaldi, Bruno Dubois, Stanley Durrleman, Didier Hannequin, Anne Bertrand, Alexandre Routier, Florence Pasquier, Philippe Couratier, Olivier Colliot, M.-O. Habert, Marion Houot, Paola Caroppo, Sabrina Fontanella, Olivier Martinaud, and Agnès Camuzat
Subjects: Adult, Male, 0301 basic medicine, medicine.medical_specialty, Population, Neuropsychological Tests, Cohort Studies, White matter, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Atrophy, Internal medicine, Image Processing, Computer-Assisted, medicine, Humans, Amyotrophic lateral sclerosis, education, Aged, education.field_of_study, C9orf72 Protein, medicine.diagnostic_test, business.industry, Neuropsychology, Brain, Magnetic resonance imaging, Frontotemporal lobar degeneration, Middle Aged, medicine.disease, Magnetic Resonance Imaging, White Matter, 030104 developmental biology, medicine.anatomical_structure, Asymptomatic Diseases, Mutation, Female, Neurology (clinical), Cognition Disorders, business, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: Importance Presymptomatic carriers of chromosome 9 open reading frame 72 (C9orf72) mutation, the most frequent genetic cause of frontotemporal lobar degeneration and amyotrophic lateral sclerosis, represent the optimal target population for the development of disease-modifying drugs. Preclinical biomarkers are needed to monitor the effect of therapeutic interventions in this population. Objectives To assess the occurrence of cognitive, structural, and microstructural changes in presymptomatic C9orf72 carriers. Design, Setting, and Participants The PREV-DEMALS study is a prospective, multicenter, observational study of first-degree relatives of individuals carrying the C9orf72 mutation. Eighty-four participants entered the study between October 2015 and April 2017; 80 (95%) were included in cross-sectional analyses of baseline data. All participants underwent neuropsychological testing and magnetic resonance imaging; 63 (79%) underwent diffusion tensor magnetic resonance imaging. Gray matter volumes and diffusion tensor imaging metrics were calculated within regions of interest. Anatomical and microstructural differences between individuals who carried the C9orf72 mutation (C9+) and those who did not carry the C9orf72 mutation (C9−) were assessed using linear mixed-effects models. Data were analyzed from October 2015 to April 2017. Main Outcomes and Measures Differences in neuropsychological scores, gray matter volume, and white matter integrity between C9+ and C9− individuals. Results Of the 80 included participants, there were 41 C9+ individuals (24 [59%] female; mean [SD] age, 39.8 [11.1] years) and 39 C9− individuals (24 [62%] female; mean [SD] age, 45.2 [13.9] years). Compared with C9− individuals, C9+ individuals had lower mean (SD) praxis scores (163.4 [6.1] vs 165.3 [5.9]; P = .01) and intransitive gesture scores (34.9 [1.6] vs 35.7 [1.5]; P = .004), atrophy in 8 cortical regions of interest and in the right thalamus, and white matter alterations in 8 tracts. When restricting the analyses to participants younger than 40 years, compared with C9− individuals, C9+ individuals had lower praxis scores and intransitive gesture scores, atrophy in 4 cortical regions of interest and in the right thalamus, and white matter alterations in 2 tracts. Conclusions and Relevance Cognitive, structural, and microstructural alterations are detectable in young C9+ individuals. Early and subtle praxis alterations, underpinned by focal atrophy of the left supramarginal gyrus, may represent an early and nonevolving phenotype related to neurodevelopmental effects of C9orf72 mutation. White matter alterations reflect the future phenotype of frontotemporal lobar degeneration/amyotrophic lateral sclerosis, while atrophy appears more diffuse. Our results contribute to a better understanding of the preclinical phase of C9orf72 disease and of the respective contribution of magnetic resonance biomarkers. Trial Registration clinicaltrials.gov Identifier: NCT02590276
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