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1. Tuberculosis alters immune-metabolic pathways resulting in perturbed IL-1 responses

Author

Nicole Bilek, Violaine Saint-André, Elisa Nemes, Stanley Kimbung Mbandi, Elizabeth Filander, Munyaradzi Musvosvi, Humphrey Mulenga, Matthew L. Albert, Alba Llibre, Vincent Rouilly, Hadn Africa, Céline Posseme, Simba Mabwe, Nikaïa Smith, Vincent Bondet, Thomas J. Scriba, Pierre Bost, Darragh Duffy, Bruno Charbit, Immunologie Translationnelle - Translational Immunology lab, Institut Pasteur [Paris] (IP), Datactix, University of Cape Town, Ecole Doctorale Complexité du Vivant (ED515), Sorbonne Université (SU), Cytometrie et Biomarqueurs – Cytometry and Biomarkers (UTechS CB), Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Département de Biologie Computationnelle - Department of Computational Biology, Insitro [San Francisco], This study was funded by the Bill and Melinda Gates Foundation (OPP1114368 and OPP1204624), with additional support from the French Government’s Investissement d’Avenir Program, Laboratoire d’Excellence 'Milieu Intérieur' Grant ANR-10-LABX-69-01. AL was supported by the Fondation Recherche Médicale (SPF20170938617) and the European Commision (H2020-MSCA-IF 2018, 841729). NS was supported by an Institut Pasteur Roux Cantarini fellowship., We thank the UTechS CB of the Center for Translational Research, Institut Pasteur for supporting Nanostring analysis. DD thanks Immunoqure for provision of the mAbs under an MTA for the Simoa IFN-α assay. We are grateful to the study participants and the SATVI clinical and laboratory teams., ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), Institut Pasteur [Paris], and Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS)

Subjects
Tuberculosis, Immunology, Disease, Mycobacterium tuberculosis, 03 medical and health sciences, 0302 clinical medicine, Immune system, Antigen, Interleukin 1 (IL-1), Medicine, Immunology and Allergy, Interleukin 1 Receptor antagonist (IL-1ra), 030304 developmental biology, Systems immunology, 0303 health sciences, Immunometabolism, biology, business.industry, biology.organism_classification, medicine.disease, 3. Good health, Granzyme, biology.protein, [SDV.IMM]Life Sciences [q-bio]/Immunology, Tumor necrosis factor alpha, business, 030215 immunology
Abstract

SUMMARYTuberculosis (TB) remains a major public health problem with host-directed therapeutics offering potential as novel treatment strategies. However, their successful development still requires a comprehensive understanding of howMycobacterium tuberculosis(M.tb) infection impacts immune responses. To address this challenge, we applied standardised immunomonitoring tools to compare TB antigen, BCG and IL-1β induced immune responses between individuals with latentM.tbinfection (LTBI) and active TB disease, at diagnosis and after cure. This revealed distinct responses between TB and LTBI groups at transcriptomic, proteomic and metabolomic levels. At baseline, we identified pregnane steroids and the PPARγ pathway as new immune-metabolic drivers of elevated plasma IL-1ra in TB. We also observed dysregulated induced IL-1 responses after BCG stimulation in TB patients. Elevated IL-1 antagonist responses were explained by upstream differences in TNF responses, while for IL-1 agonists it was due to downstream differences in granzyme mediated cleavage. Finally, the immune response to IL-1β driven signalling was also dramatically perturbed in TB disease but was completely restored after successful antibiotic treatment. This systems immunology approach improves our knowledge of how immune responses are altered during TB disease, and may support design of improved diagnostic, prophylactic and therapeutic tools.

Published
2022

2. Immune Profiling Enables Stratification of Patients With Active Tuberculosis Disease or Mycobacteriu m tuberculosis Infection

Author

Françoise Dromer, Antonio Rausell, Elizabeth Filander, Bruno Charbit, Odile Gelpi, Kalla Astrom, Stanislas Pol, Elisa Nemes, Vincent Rouilly, Mark Hatherill, Hadn Africa, Humphrey Mulenga, Ana Cumano, Hugo Mouquet, Etienne Patin, Lluis Quintana-Murci, Lungisa Jaxa, Laurent Abel, Milena Hasan, James P. Di Santo, Claude Leclerc, Spencer L. Shorte, Vassili Soumelis, Stéphanie Thomas, Caroline Demangel, Mathilde Touvier, Andrés Alcover, Thomas J. Scriba, Matthew L. Albert, Anavaj Sakuntabhai, Hugues Aschard, Nikaïa Smith, Serge Hercberg, Darragh Duffy, Jost Enninga, Olivier Schwartz, Ivo Gomperts-Boneca, Marie-Noëlle Ungeheuer, Simbarashe Mabwe, Ludovic Deriano, Frédéric Tangy, Gérard Eberl, Sandra Pellegrini, Antoine Toubert, Lars Rogge, Stephanus T. Malherbe, Gerhard Walzl, Michele Tameris, Munyaradzi Musvosvi, Alba Llibre, Benno Schwikowski, Olivier Lantz, Nicole Bilek, Philippe Bousso, Pierre Bruhns, Jacques Fellay, and Eric Tartour

Subjects
0301 basic medicine, Microbiology (medical), Tuberculosis, Enzyme-Linked Immunosorbent Assay, Disease, Asymptomatic, QuantiFERON, Mycobacterium tuberculosis, Interferon-gamma, 03 medical and health sciences, 0302 clinical medicine, Antigen, Latent Tuberculosis, medicine, Humans, 030212 general & internal medicine, Online only Articles, Whole blood, biology, business.industry, immune profiling, biomarkers, patient stratification, bacterial infections and mycoses, medicine.disease, biology.organism_classification, cytokines, 3. Good health, AcademicSubjects/MED00290, 030104 developmental biology, Infectious Diseases, Cohort, Immunology, medicine.symptom, business, Interferon-gamma Release Tests
Abstract

Background Tuberculosis (TB) is caused by Mycobacterium tuberculosis (Mtb) infection and is a major public health problem. Clinical challenges include the lack of a blood-based test for active disease. Current blood-based tests, such as QuantiFERON (QFT) do not distinguish active TB disease from asymptomatic Mtb infection. Methods We hypothesized that TruCulture, an immunomonitoring method for whole-blood stimulation, could discriminate active disease from latent Mtb infection (LTBI). We stimulated whole blood from patients with active TB and compared with LTBI donors. Mtb-specific antigens and live bacillus Calmette-Guérin (BCG) were used as stimuli, with direct comparison to QFT. Protein analyses were performed using conventional and digital enzyme-linked immunosorbent assay (ELISA), as well as Luminex. Results TruCulture showed discrimination of active TB cases from LTBI (P < .0001, AUC = .81) compared with QFT (P = .45, AUC = .56), based on an interferon γ (IFNγ) readout after Mtb antigen (Ag) stimulation. This result was replicated in an independent cohort (AUC = .89). In exploratory analyses, TB stratification could be further improved by the Mtb antigen to BCG IFNγ ratio (P < .0001, AUC = .91). Finally, the combination of digital ELISA and transcriptional analysis showed that LTBI donors with high IFNγ clustered with patients with TB, suggesting the possibility to identify subclinical disease. Conclusions TruCulture offers a next-generation solution for whole-blood stimulation and immunomonitoring with the possibility to discriminate active and latent infection., We tested TruCulture, an immunomonitoring tool, to identify active disease from latent Mtb infection. TruCulture showed improved discrimination of tuberculosis cases from LTBI as compared with QuantiFERON. Tuberculosis stratification could be further improved by the Mtb Ag:BCG IFNγ ratio.

Published
2020

3. Early IFNβ secretion determines variable downstream IL-12p70 responses upon TLR4 activation

Author

Celine Posseme, Alba Llibre, Bruno Charbit, Vincent Bondet, Vincent Rouilly, Violaine Saint-André, Jeremy Boussier, Jacob Bergstedt, Nikaïa Smith, Liam Townsend, Jamie A. Sugrue, Clíona Ní Cheallaigh, Niall Conlon, Maxime Rotival, Michael S. Kobor, Estelle Mottez, Stanislas Pol, Etienne Patin, Matthew L. Albert, Lluis Quintana-Murci, Darragh Duffy, Laurent Abel, Andres Alcover, Hugues Aschard, Philippe Bousso, Nollaig Bourke, Petter Brodin, Pierre Bruhns, Nadine Cerf-Bensussan, Ana Cumano, Caroline Demangel, null Christophe d’Enfert, Ludovic Deriano, Marie-Agnès Dillies, James Di Santo, Françoise Dromer, Gérard Eberl, Jost Enninga, Jacques Fellay, Ivo Gomperts-Boneca, Milena Hasan, Magnus Fontes, Gunilla Karlsson Hedestam, Serge Hercberg, Molly A. Ingersoll, Rose Anne Kenny, Olivier Lantz, Mickael Ménager, Frédérique Michel, Hugo Mouquet, Cliona O'Farrelly, Sandra Pellegrini, Antonio Rausell, Frédéric Rieux-Laucat, Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Frédéric Tangy, Antoine Toubert, Mathilde Touvier, Marie-Noëlle Ungeheuer, Christophe Zimmer, Immunologie Translationnelle - Translational Immunology lab, Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité), Ecole Doctorale Frontiere de l’Innovation en Recherche et Education (ED 474 FIRE), Université Paris Cité (UPCité)-Université Paris sciences et lettres (PSL), Cytometrie et Biomarqueurs – Cytometry and Biomarkers (UTechS CB), Datactix, Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB, Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), St James’s Hospital [Dublin, Ireland], Trinity College Dublin, University of British Columbia [Vancouver], Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), HIBIO [South San Francisco], Collège de France - Chaire Génomique humaine et évolution, Collège de France (CdF (institution)), This study was funded with support from the French Governments Investissement dAvenir Program, Laboratoire Excellence Milieu Interieur Grant ANR-10-LABX-69-01 and by an Agence National de Recherche foundation grant (CE17001002)., The Milieu Intérieur Consortium is composed of the following team leaders: Laurent Abel (Hôpital Necker), Andres Alcover, Hugues Aschard, Philippe Bousso, Nollaig Bourke (Trinity College Dublin), Petter Brodin (Karolinska Institutet), Pierre Bruhns, Nadine Cerf-Bensussan (INSERM UMR 1163 – Institut Imagine), Ana Cumano, Caroline Demangel, Christophe d’Enfert, Ludovic Deriano, Marie-Agnès Dillies, James Di Santo, Françoise Dromer, Gérard Eberl, Jost Enninga, Jacques Fellay (EPFL, Lausanne), Ivo Gomperts-Boneca, Milena Hasan, Magnus Fontes (Institut Roche), Gunilla Karlsson Hedestam (Karolinska Institutet), Serge Hercberg (Université Paris 13), Molly Ingersoll, Rose Anne Kenny (Trinity College Dublin), Olivier Lantz (Institut Curie), Frédérique Michel, Hugo Mouquet, Cliona O'Farrelly (Trinity College Dublin), Etienne Patin, Sandra Pellegrini, Stanislas Pol (Hôpital Côchin), Antonio Rausell (INSERM UMR 1163 – Institut Imagine), Frédéric Rieux-Laucat (INSERM UMR 1163 – Institut Imagine), Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Frédéric Tangy, Antoine Toubert (Hôpital Saint-Louis), Mathilde Touvier (Université Paris 13), Marie-Noëlle Ungeheuer, Christophe Zimmer, Matthew L. Albert (In Sitro), Darragh Duffy, Lluis Quintana-Murci, ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), ANR-20-CE17-0010,ELECTRO,Inhibition de l'Exchange Protein directly activated by cAMP -1 pour traiter la Fibrillation Atrial(2020), Institut Pasteur [Paris] (IP), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute-University of British Columbia (UBC), University of Cape Town, Département d'hépatologie [CHU Cochin], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Insitro [San Francisco], St James's University Hospital, Leeds Teaching Hospitals NHS Trust, University of British Columbia (UBC), This study was funded with support from the French Government’s Investissement d’Avenir Program, Laboratoire d’Excellence 'Milieu Intérieur' grant ANR-10-LABX-69-01, and by an Agence National de Recherche Foundation grant (CE17001002). We thank the UTechS CB of the Center for Translational Research, Institut Pasteur for supporting data generation, Pierre-Henri Commere for help with flow cytometry sorting, Aurelie Bisiaux for flow cytometry advice, and Dr. Molly Ingersoll for scientific advice and critical reading of the manuscript. D.D. thanks Immunoqure for provision of the mAbs under an MTA for the Simoa IFNα assay. We thank the STTAR-Bioresource of TCD-SJH-TUH COVID-19 bioresource, which supported collection of COVID-19 patient samples, and the 'URGENCE COVID-19' fundraising campaign of the Institut Pasteur (CoVarImm and Steroid Response) for supporting data generation of COVID-19 samples. N.S. is a recipient of the Pasteur-Roux-Cantarini Fellowship. N.C. and C.N.C. are part funded by a Science Foundation Ireland (SFI) grant, grant code 20/SPP/3685. L.T. is supported by the Irish Clinical Academic Training (ICAT) Program, supported by the Wellcome Trust and the Health Research Board (grant number 203930/B/16/Z), the Health Service Executive, National Doctors Training and Planning, and the Health and Social Care, Research and Development Division, Northern Ireland., Milieu Intérieur Consortium: Laurent Abel, Andres Alcover, Hugues Aschard, Philippe Bousso, Nollaig Bourke, Petter Brodin, Pierre Bruhns, Nadine Cerf-Bensussan, Ana Cumano, Caroline Demangel, Christophe d'Enfert, Ludovic Deriano, Marie-Agnès Dillies, James Di Santo, Françoise Dromer, Gérard Eberl, Jost Enninga, Jacques Fellay, Ivo Gomperts-Boneca, Milena Hasan, Magnus Fontes, Gunilla Karlsson Hedestam, Serge Hercberg, Molly A Ingersoll, Rose Anne Kenny, Olivier Lantz, Mickael Ménager, Frédérique Michel, Hugo Mouquet, Cliona O'Farrelly, Etienne Patin, Sandra Pellegrini, Stanislas Pol, Antonio Rausell, Frédéric Rieux-Laucat, Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Frédéric Tangy, Antoine Toubert, Mathilde Touvier, Marie-Noëlle Ungeheuer, Christophe Zimmer, Matthew L Albert, Darragh Duffy, Lluis Quintana-Murci, and ANR-10-LABX-0062,IBEID,Integrative Biology of Emerging Infectious Diseases(2010)

Subjects
Lipopolysaccharides, Proteomics, History, Polymers and Plastics, [SDV]Life Sciences [q-bio], medicine.medical_treatment, Disease, systems immunology, Biology, General Biochemistry, Genetics and Molecular Biology, Industrial and Manufacturing Engineering, Immune system, medicine, Humans, Secretion, Epigenetics, Business and International Management, Epigenomics, TLR4 immune responses, Systems immunology, SARS-CoV-2, COVID-19, CP: Immunology, Interferon-beta, Interleukin-12, Toll-Like Receptor 4, Cytokine, IL-12p70, type I interferons, Immunology, TLR4, Cytokine variability, [SDV.IMM]Life Sciences [q-bio]/Immunology, Cytokines
Abstract

International audience; The interleukin-12 (IL-12) family comprises the only heterodimeric cytokines mediating diverse functional effects. We previously reported a striking bimodal IL-12p70 response to lipopolysaccharide (LPS) stimulation in healthy donors. Herein, we demonstrate that interferon β (IFNβ) is a major upstream determinant of IL-12p70 production, which is also associated with numbers and activation of circulating monocytes. Integrative modeling of proteomic, genetic, epigenomic, and cellular data confirms IFNβ as key for LPS-induced IL-12p70 and allowed us to compare the relative effects of each of these parameters on variable cytokine responses. Clinical relevance of our findings is supported by reduced IFNβ-IL-12p70 responses in patients hospitalized with acute severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection or chronically infected with hepatitis C (HCV). Importantly, these responses are resolved after viral clearance. Our systems immunology approach defines a better understanding of IL-12p70 and IFNβ in healthy and infected persons, providing insights into how common genetic and epigenetic variation may impact immune responses to bacterial infection.

Published
2021

4. Distinct systemic and mucosal immune responses to SARS-CoV-2

Author

Ludivine Grzelak, Bruno Charbit, Vincent Bondet, Hélène Péré, Hugo Mouquet, Cyril Planchais, Darragh Duffy, Benjamin Terrier, Vincent Rouilly, Sarah H. Merkling, Nader Yatim, Pedro Gonçalves, Maxime Beretta, Timothée Bruel, Frederic Rieux-Leucat, Nikaïa Smith, Solen Kernéis, Jérôme Hadjadj, James P. Di Santo, Olivier Schwartz, Immunologie Translationnelle - Translational Immunology lab, Institut Pasteur [Paris], Immunité Innée - Innate Immunity, Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Cytometrie et Biomarqueurs – Cytometry and Biomarkers (UTechS CB), Virus et Immunité - Virus and immunity, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Université Sorbonne Paris Cité (USPC), Immunologie humorale - Humoral Immunology, Datactix, Immunogenetics of pediatric autoimmune diseases (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Department of Internal Medicine, National Referral Center for Rare Systemic Autoimmune Diseases, Assistance Publique Hôpitaux de Paris-Centre (APHP-CUP), Université de Paris, Paris, France, Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Interactions Virus-Insectes - Insect-Virus Interactions (IVI), Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Epidémiologie et modélisation de la résistance aux antimicrobiens - Epidemiology and modelling of bacterial escape to antimicrobials (EMAE), This study was supported by an Institut Pasteur Covid-19 research grant and by a grant (CoVarImm) from the Agence National de la Recherche (ANR-flash Covid19) awarded to DD and JPD, and by the Laboratoire d’Excellence ‘‘Milieu Intérieur' (grant no. ANR-10-LABX-69-01) and the Fonds IMMUNOV, for Innovation in Immunopathology. NS is a recipient of the Pasteur-Roux-Cantarini Fellowship. We thank the UTechS CB of the Center for Translational Research, Institut Pasteur for supporting Luminex and Simoa analysis. We thank Laurence Motreff and Laurence Ma, Biomics Platform, C2RT, Institut Pasteur, Paris, France, supported by France Génomique (ANR-10-INBS-09-09), IBISA and the Illumina COVID-19 Projects’ offer for microbial sequencing., ANR-20-COVI-0053,CoVarImm,Variation de la réponse immune systémique et muqueuse pendant l'infection par le SRAS-CoV-2 et la convalescence(2020), ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010), Institut Pasteur [Paris] (IP), Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Virus et Immunité - Virus and immunity (CNRS-UMR3569), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord

Subjects
systemic immunity, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Proinflammatory cytokine, 03 medical and health sciences, 0302 clinical medicine, Immune system, Interferon, medicine, Microbiome, 030304 developmental biology, 0303 health sciences, biology, business.industry, Compartmentalization (psychology), cytokines, 3. Good health, Immunology, biology.protein, mucosal immunity, [SDV.IMM]Life Sciences [q-bio]/Immunology, Antibody, business, Covid-19, Viral load, 030217 neurology & neurosurgery, medicine.drug
Abstract

SummaryCoordinated local mucosal and systemic immune responses following SARS-CoV-2 infection protect against COVID-19 pathologies or fail leading to severe clinical outcomes. To understand this process, we performed an integrated analysis of SARS-CoV-2 spike-specific antibodies, cytokines, viral load and 16S bacterial communities in paired nasopharyngeal swabs and plasma samples from a cohort of clinically distinct COVID-19 patients during acute infection. Plasma viral load was associated with systemic inflammatory cytokines that were elevated in severe COVID-19, and also with spike-specific neutralizing antibodies. In contrast, nasopharyngeal viral load correlated with SARS-CoV-2 humoral responses but inversely with interferon responses, the latter associating with protective microbial communities. Potential pathogenic microrganisms, often implicated in secondary respiratory infections, were associated with mucosal inflammation and elevated in severe COVID-19. Our results demonstrate distinct tissue compartmentalization of SARS-CoV-2 immune responses and highlight a role for the nasopharyngeal microbiome in regulating local and systemic immunity that determines COVID-19 clinical outcomes.

Published
2021

5. Early IFNβ secretion determines variable downstream IL-12p70 responses upon TLR4 activation in health and disease

Author

Vincent Rouilly, Matthew L. Albert, Michael S. Kobor, Jeremy Boussier, Lluis Quintana-Murci, Maxime Rotival, Jacob Bergstedt, Stanislas Pol, Etienne Patin, Estelle Mottez, Alba Llibre, Violaine Saint-André, Nikaïa Smith, Darragh Duffy, Vincent Bondet, Bruno Charbit, Celine Posseme, Thomas J. Scriba, Immunologie Translationnelle - Translational Immunology lab, Institut Pasteur [Paris], Ecole Doctorale Frontiere de l’Innovation en Recherche et Education (ED 474 FIRE), Université de Paris (UP)-Université Paris sciences et lettres (PSL), Cytometrie et Biomarqueurs – Cytometry and Biomarkers (UTechS CB), Datactix, Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Génétique Evolutive Humaine - Human Evolutionary Genetics, Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute-University of British Columbia (UBC), University of Cape Town, Département d'hépatologie [CHU Cochin], Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Insitro [San Francisco], Chaire Génomique humaine et évolution, Collège de France (CdF (institution)), This study was funded with support from the French Governments Investissement dAvenir Program, Laboratoire Excellence Milieu Interieur Grant ANR-10-LABX-69-01 and by an Agence National de Recherche foundation grant (CE17001002)., The Milieu Intérieur Consortium is composed of the following team leaders: Laurent Abel (Hôpital Necker), Andres Alcover, Hugues Aschard, Philippe Bousso, Nollaig Bourke (Trinity College Dublin), Petter Brodin (Karolinska Institutet), Pierre Bruhns, Nadine Cerf-Bensussan (INSERM UMR 1163 – Institut Imagine), Ana Cumano, Caroline Demangel, Christophe d’Enfert, Ludovic Deriano, Marie-Agnès Dillies, James Di Santo, Françoise Dromer, Gérard Eberl, Jost Enninga, Jacques Fellay (EPFL, Lausanne), Ivo Gomperts-Boneca, Milena Hasan, Magnus Fontes (Institut Roche), Gunilla Karlsson Hedestam (Karolinska Institutet), Serge Hercberg (Université Paris 13), Molly Ingersoll, Rose Anne Kenny (Trinity College Dublin), Olivier Lantz (Institut Curie), Frédérique Michel, Hugo Mouquet, Cliona O'Farrelly (Trinity College Dublin), Etienne Patin, Sandra Pellegrini, Stanislas Pol (Hôpital Côchin), Antonio Rausell (INSERM UMR 1163 – Institut Imagine), Frédéric Rieux-Laucat (INSERM UMR 1163 – Institut Imagine), Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Frédéric Tangy, Antoine Toubert (Hôpital Saint-Louis), Mathilde Touvier (Université Paris 13), Marie-Noëlle Ungeheuer, Christophe Zimmer, Matthew L. Albert (In Sitro), Darragh Duffy, Lluis Quintana-Murci, ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), and ANR-20-CE17-0010,ELECTRO,Inhibition de l'Exchange Protein directly activated by cAMP -1 pour traiter la Fibrillation Atrial(2020)

Subjects
Systems immunology, 0303 health sciences, Hepatitis C virus, Disease, Biology, medicine.disease_cause, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Immune system, 030220 oncology & carcinogenesis, Immunology, medicine, TLR4, [SDV.IMM]Life Sciences [q-bio]/Immunology, Secretion, Epigenetics, 030304 developmental biology, Epigenomics
Abstract

SummaryThe IL-12 family of cytokines comprises the only heterodimeric cytokines mediating diverse functional effects. We previously observed a bi-modal IL-12p70 response to LPS in healthy donors of the Milieu Interieur cohort. Herein, we demonstrate that IFNβ expression serves as an upstream determinant of variable IL-12p70 production. Integrative modelling of proteomic, genetic, epigenomic and cellular data confirmed IFNβ as key for regulation of LPS induced IL12A and IL-12p70 variability. The clinical relevance was supported by reduced and variable IL-12p70 responses in individuals infected with the hepatitis C virus (HCV), and findings that IFN-based therapy for HCV is more likely to fail in those patients with dysregulated pre-treatment IL-12p70 responses. In sum, our systems immunology approach has defined a better understanding of IL-12p70 and IFNβ in healthy and infected persons, providing insights into how common genetic and epigenetic variation may impact immune responses to bacterial infection in health and disease.

Published
2020

6. Associations between usual diet and gut microbiota composition: results from the Milieu Intérieur cross-sectional study

Author

Camille Buscail, Pilar Galan, Lluis Quintana-Murci, Karen E. Assmann, Mélanie Deschasaux, Vincent Rouilly, Darragh Duffy, Emmanuelle Kesse-Guyot, Valentin Partula, Olivier Lantz, Mathilde Touvier, M. Torres, Matthew L. Albert, Chantal Julia, Paule Latino-Martel, Stéphanie Thomas, Stanislas Mondot, Serge Hercberg, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Santé publique France, Hôpital Avicenne, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Centre de Recherche Translationnelle (CRT), Institut Pasteur [Paris], Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Génétique Evolutive Humaine - Human Evolutionary Genetics, Genentech, Inc. [San Francisco], Immunité et cancer (U932), Institut Curie-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Curie, Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Santé publique France - French National Public Health Agency [Saint-Maurice, France], Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Curie [Paris], Vougny, Marie-Christine, and Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris]

Subjects
0301 basic medicine, Adult, Male, [SDV.IMM] Life Sciences [q-bio]/Immunology, Colon, Population, Medicine (miscellaneous), Gut flora, Diet Surveys, Food group, 03 medical and health sciences, Feces, Young Adult, Abundance (ecology), RNA, Ribosomal, 16S, Humans, Food science, Microbiome, education, Aged, 2. Zero hunger, education.field_of_study, Analysis of Variance, 030109 nutrition & dietetics, Nutrition and Dietetics, biology, Bacteria, gut microbiota, digestive, oral, and skin physiology, Feeding Behavior, Sequence Analysis, DNA, Middle Aged, biology.organism_classification, Diet, Gastrointestinal Microbiome, 030104 developmental biology, Cross-Sectional Studies, Diet, Western, Milieu Intérieur Consortium, Multivariate Analysis, usual diet, [SDV.IMM]Life Sciences [q-bio]/Immunology, Female, epidemiology, Omnivore, Analysis of variance, France, healthy population, Akkermansia muciniphila
Abstract

International audience; BACKGROUND:Diet is widely recognized as one of the main modifiable drivers of gut microbiota variability, and its influence on microbiota composition is an active area of investigation.OBJECTIVE:The present work aimed to explore the associations between usual diet and gut microbiota composition in a large sample of healthy French adults.METHODS:Gut microbiota composition was established through sequencing of the 16S rRNA gene in stool samples from 862 healthy French adults of the Milieu Intérieur study. Usual dietary consumptions were determined through the administration of a food-frequency questionnaire. The associations between dietary variables and α- and β-diversity indexes and relative taxa abundances were tested using Spearman correlations, permutational ANOVAs, and multivariate analyses with linear models, respectively.RESULTS:Foods generally considered as healthy (raw fruits, fish) were positively associated with α-diversity, whereas food items for which a limited consumption is generally recommended (fried products, sodas or sugary drinks, fatty sweet products, processed meats, ready-cooked meals, and desserts) were negatively associated with α-diversity. Fruits, fried products, ready-cooked meals, and cheese contributed to shifts within microbiota composition (β-diversity). Our results also highlighted a number of associations between various food group intakes and abundances of specific phyla, genera, and species. For instance, the consumption of cheese was negatively associated with Akkermansia muciniphila abundance.CONCLUSIONS:This large-scale population-based study supports that the usual consumption of certain food items is associated with several gut microbial features, and extends the mechanistic arguments linking Western diet to an altered microbiota composition. These results provide new insights into the understanding of complex diet-gut microbiota relations, and their implications for host health deserve further investigation because altered microbiota diversity was consistently linked to increased risk of several health outcomes. This trial was registered at clinicaltrials.gov as NCT01699893.

Published
2019

7. Immune profiling in M. tuberculosis infection enables stratification of patients with active disease

Author

Alba Llibre, Simbarashe Mabwe, Matthew L. Albert, Nicole Bilek, Elizabeth Filander, Mark Hatherill, Humphrey Mulenga, Stéphanie Thomas, Elisa Nemes, Lungisa Jaxa, Vincent Rouilly, Hadn Africa, Munyaradzi Musvosvi, Thomas J. Scriba, Bruno Charbit, and Darragh Duffy

Subjects
Innate immune system, Tuberculosis, biology, business.industry, Stimulation, Disease, biology.organism_classification, medicine.disease, bacterial infections and mycoses, Asymptomatic, Mycobacterium tuberculosis, Antigen, Immunology, medicine, medicine.symptom, business, Whole blood
Abstract

Tuberculosis (TB) is caused byMycobacterium tuberculosis(Mtb) infection and is a major public health problem with an estimated 1.7 billion persons infected worldwide. Clinical challenges in TB include the lack of a blood-based test for active disease, and the absence of prognostic biomarkers for early treatment response. Current blood based tests, such as QuantiFERON-TB Gold (QFT), are based on an IFNγ readout followingMtbantigen stimulation. However, they do not distinguish active TB disease from asymptomaticMtbinfection. We hypothesized that the use of TruCulture, an improved immunomonitoring method for whole blood collection and immune stimulation, could improve the discrimination of active disease from latentMtbinfection. To test our hypothesis, we stimulated whole blood from active TB patients (before and after successful treatment), comparing them to asymptomatic latently infected individuals.Mtb-specific antigens (ESAT-6, CFP-10, TB7.7) and live bacillus Calmette-Guerin (BCG) were used for TruCulture stimulation conditions, with direct comparison to QFT. Protein analyses were performed on the culture supernatants using ELISA and Luminex multi-analyte profiling. TruCulture showed an ability to discriminate active TB cases from latent controls (p < 0.0001, AUC = 0.81, 95% CI: 0.69-0.93) as compared to QFT (p = 0.47 AUC = 0.56, 95% CI: 0.40-0.72), based on an IFNγ readout afterMtbantigen stimulation. The stratification of the two groups could be further improved by using theMtbAg/BCG IFNγ ratio response (p < 0.0001, AUC = 0.918, 95% CI: 0.84-0.98). We also identified additional cytokines that distinguished latent infection from TB disease; and show that the primary differences between the TruCulture and QFT systems were a result of higher levels of non-specific innate immune activation in QFT tubes, due to the lack of a buffering solution in the latter. We conclude that TruCulture offers a next-generation solution for whole blood stimulation and immunomonitoring with the possibility to discriminate active and latently infected persons.

Published
2019
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8. Standardized Whole-Blood Transcriptional Profiling Enables the Deconvolution of Complex Induced Immune Responses

Author

Alejandra Urrutia, Darragh Duffy, Vincent Rouilly, Céline Posseme, Raouf Djebali, Gabriel Illanes, Valentina Libri, Benoit Albaud, David Gentien, Barbara Piasecka, Milena Hasan, Magnus Fontes, Lluis Quintana-Murci, Matthew L. Albert, Laurent Abel, Andres Alcover, Kalla Astrom, Philippe Bousso, Pierre Bruhns, Ana Cumano, Caroline Demangel, Ludovic Deriano, James Di Santo, Françoise Dromer, Gérard Eberl, Jost Enninga, Jacques Fellay, Antonio Freitas, Odile Gelpi, Ivo Gomperts-Boneca, Serge Hercberg, Olivier Lantz, Claude Leclerc, Hugo Mouquet, Sandra Pellegrini, Stanislas Pol, Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Vassili Soumelis, Frédéric Tangy, Eric Tartour, Antoine Toubert, Marie-Noëlle Ungeheuer, Illanes Gabriel, Universidad de la República (Uruguay). Facultad de Ciencias. Centro de Matemática., Urrutia Alejandra, Rouilly Vincent, Posseme Céline, Djebali Raouf, Libri Valentina, Albaud Benoit, Gentien David, Piasecka Barbara, Hasan Milena, Fontes Magnus, Quintana-Murci Lluis, Albert Matthew L., Genentech, Inc. [San Francisco], Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris], Centro de Matemática [Montevideo] (CMAT), Universidad de la República [Montevideo] (UCUR), International Group for Data Analysis (IGDA), Plateforme de génomique [Institut Curie], Institut Curie [Paris], Centre for Mathematical Sciences, Mathematical Statistics, Lund University [Lund], Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), This work benefited from support of the French government’s Invest in theFuture program managed by the Agence Nationale de la Recherche (ANR, reference 10-LABX-69-01), Milieu Intérérieur Consortium (34 collaborateurs) : Abel L, Alcover A, Astrom K, Bousso P, Bruhns P, Cumano A, Demangel C, Deriano L, Di Santo J, Dromer F, Eberl G, Enninga J, Fellay J, Freitas A, Gelpi O, Gomperts-Boneca I, Hercberg S, Lantz O, Leclerc C, Mouquet H, Pellegrini S, Pol S, Rogge L, Sakuntabhai A, Schwartz O, Schwikowski B, Shorte S, Soumelis V, Tangy F, Tartour E, Toubert A, Ungeheuer MN, Quintana-Murci L, Albert ML., ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), Vougny, Marie-Christine, Laboratoires d'excellence - GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE - - MILIEU INTERIEUR2010 - ANR-10-LABX-0069 - LABX - VALID, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pasteur [Paris] (IP), Universidad de la República [Montevideo] (UDELAR), and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0301 basic medicine, Adult, Male, Cell type, [SDV.IMM] Life Sciences [q-bio]/Immunology, Transcription, Genetic, medicine.medical_treatment, Stimulation, Computational biology, Biology, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Immune system, Complex induced immune responses, Gene expression, medicine, Humans, Lymphocytes, Receptor, Gene, lcsh:QH301-705.5, Innate immune system, Bacteria, Gene Expression Profiling, Toll-Like Receptors, Immunity, 030104 developmental biology, Cytokine, Blood, Gene Expression Regulation, lcsh:Biology (General), Immunology, [SDV.IMM]Life Sciences [q-bio]/Immunology, Cytokines, Female, Whole-blood
Abstract

Figura como autor también el Milieu Intérieur Consortium Systems approaches for the study of immune signaling pathways have been traditionally based on purified cells or cultured lines. However, in vivo responses involve the coordinated action of multiple cell types, which interact to establish an inflammatory microenvironment. We employed standardized whole-blood stimulation systems to test the hypothesis that responses to Toll-like receptor ligands or whole microbes can be defined by the transcriptional signatures of key cytokines. We found 44 genes, identified using Support Vector Machine learning, that captured the diversity of complex innate immune responses with improved segregation between distinct stimuli. Furthermore, we used donor variability to identify shared inter-cellular pathways and trace cytokine loops involved in gene expression. This provides strategies for dimension reduction of large datasets and deconvolution of innate immune responses applicable for characterizing immunomodulatory molecules. Moreover, we provide an interactive R-Shiny application with healthy donor reference values for induced inflammatory genes.

Published
2016
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9. Publisher Correction: Natural variation in the parameters of innate immune cells is preferentially driven by genetic factors

Author

Vincent Rouilly, Cherie Green, Lluis Quintana-Murci, Julie Hunkapiller, Isabelle Peguillet, Magnus Fontes, Jacob Bergstedt, Alejandra Urrutia, Claire Leloup, Benoit Beitz, Friederike Jönsson, Darragh Duffy, Stéphanie Thomas, François Huetz, Lars Rogge, Cécile Alanio, Matthew L. Albert, Petar Scepanovic, Olivier Lantz, Barbara Piasecka, Yoong Wearn Lim, Jacques Fellay, Hélène Quach, Christian Hammer, Milena Hasan, Etienne Patin, Magge Zepeda, Valentina Libri, and James P. Di Santo

Subjects
0301 basic medicine, Innate immune system, Immunology, Computational biology, Biology, Natural variation, InformationSystems_GENERAL, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, 030220 oncology & carcinogenesis, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Correct name, Immunology and Allergy
Abstract

In the version of this article initially published, the name of one author was incorrect (James P. Santo). The correct name is James P. Di Santo. The error has been corrected in the HTML and PDF versions of the article.

Published
2018

10. Natural variation in the parameters of innate immune cells is preferentially driven by genetic factors

Author

Petar Scepanovic, Julie Hunkapiller, Jacob Bergstedt, Alejandra Urrutia, Jacques Fellay, Lluis Quintana-Murci, Hélène Quach, Friederike Jönsson, Cherie Green, Olivier Lantz, Lars Rogge, Stéphanie Thomas, Vincent Rouilly, Barbara Piasecka, Yoong Wearn Lim, Claire Leloup, Cécile Alanio, Isabelle Peguillet, Christian Hammer, Benoit Beitz, Magnus Fontes, Magge Zepeda, Matthew L. Albert, Valentina Libri, James P. Di Santo, Etienne Patin, Milena Hasan, François Huetz, Darragh Duffy, Vougny, Marie-Christine, Laboratoires d'excellence - GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE - - MILIEU INTERIEUR2010 - ANR-10-LABX-0069 - LABX - VALID, Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Lund University [Lund], Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL), Anticorps en Thérapie et Pathologie, Genentech, Inc. [San Francisco], Immunorégulation, Biologie des Populations Lymphocytaires, Institut Curie [Paris], International Group for Data Analysis (IGDA), Immunité Innée - Innate Immunity, This work benefited from support of the French government’s program ‘Investissement d’Avenir’, managed by the Agence Nationale de la Recherche (reference 10-LABX-69-01). J.B. is a member of the LCCC Linnaeus Center and the ELLIIT Excellence Center at Lund University and is supported by the ELLIIT Excellence Center., The Milieu Intérieur Consortium : Laurent Abel, Andres Alcover, Kalle Astrom, Philippe Bousso, Pierre Bruhns, Ana Cumano, Caroline Demangel, Ludovic Deriano, James P. Di Santo, Françoise Dromer, Darragh Duffy, Gérard Eberl, Jost Enninga, Jacques Fellay, Antonio Freitas, Odile Gelpi, Ivo Gomperts Boneca, Serge Hercberg, Olivier Lantz, Claude Leclerc, Hugo Mouquet, Etienne Patin, Sandra Pellegrini, Stanislas Pol, Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Vassili Soumelis, Frédéric Tangy, Eric Tartour, Antoine Toubert, Marie-Noëlle Ungeheuer, Lluís Quintana-Murci & Matthew L. Albert, ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris], Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lausanne (UNIL), and Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris]

Subjects
Adult, Male, 0301 basic medicine, MESH: Immunity, Innate/genetics, [SDV.IMM] Life Sciences [q-bio]/Immunology, MESH: Immunophenotyping, MESH: Genetic Variation/immunology, Immunology, Genome-wide association study, Disease, Adaptive Immunity, Biology, Immunophenotyping, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Immune system, Immunity, Genetic variation, Humans, Immunology and Allergy, Aged, Genetic association, MESH: Aged, Innate immune system, MESH: Humans, MESH: Middle Aged, Genetic Variation, MESH: Adult, Environmental exposure, Middle Aged, Immunity, Innate, MESH: Male, 3. Good health, 030104 developmental biology, MESH: Young Adult, MESH: Genome-Wide Association Study, MESH: Adaptive Immunity/genetics, [SDV.IMM]Life Sciences [q-bio]/Immunology, Female, MESH: Female, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

A Publisher Correction to this article was published on 03 May 2018; International audience; The quantification and characterization of circulating immune cells provide key indicators of human health and disease. To identify the relative effects of environmental and genetic factors on variation in the parameters of innate and adaptive immune cells in homeostatic conditions, we combined standardized flow cytometry of blood leukocytes and genome-wide DNA genotyping of 1,000 healthy, unrelated people of Western European ancestry. We found that smoking, together with age, sex and latent infection with cytomegalovirus, were the main non-genetic factors that affected variation in parameters of human immune cells. Genome-wide association studies of 166 immunophenotypes identified 15 loci that showed enrichment for disease-associated variants. Finally, we demonstrated that the parameters of innate cells were more strongly controlled by genetic variation than were those of adaptive cells, which were driven by mainly environmental exposure. Our data establish a resource that will generate new hypotheses in immunology and highlight the role of innate immunity in susceptibility to common autoimmune diseases.

Published
2018

11. Standardized whole blood stimulation improves immunomonitoring of induced immune responses in multi-center study

Author

Alain Savenay, Matthew L. Albert, Delphine Louis, Manfred Schmolz, Nina Salabert-Le Guen, Olivier Lantz, Régis Josien, Darragh Duffy, Françoise Mascart, Antoine Toubert, Marie Noelle Ungeheuer, Vincent Rouilly, Raouf Djebali, Lydia Redjah, José J.G. Ruiz de Morales, Catherine Ottone, Véronique Corbière, Eva Martínez-Cáceres, Cécile Braudeau, Samuel S.T. LaBrie, Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle (CRT), Institut Pasteur [Paris], Laboratoire d’Immunologie, Centre d’Immunomonitorage Nantes Atlantique (CIMNA), Centre hospitalier universitaire de Nantes (CHU Nantes), Centre de Recherche en Transplantation et Immunologie (U1064 Inserm - CRTI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN), laboratoire de vaccinologie et immunité mucosale, Université Libre de Bruxelles [Bruxelles] (ULB), Investigation Clinique et d’Accès aux Ressources Biologiques (Plate-forme) - Clinical Investigation and Access to BioResources (ICAReB), Myriad RBM, Immunité et cancer (U932), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie-Institut National de la Santé et de la Recherche Médicale (INSERM), Hospital Universitari Germans Trias I Pujol, Immunobiology Clinic, Hôpital Erasme, Complejo Asistencial Universitario de León, Alloimmunité-Autoimmunité-Transplantation (A2T), Institut Universitaire d'Hématologie (IUH), Université Paris Diderot - Paris 7 (UPD7)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), HOT Screen GmbH, Genentech, Inc. [San Francisco], TruCulture tubes, stimuli, and protein Luminex XMAP analysis were provided by Myriad RBM, Inc (Austin, USA) and TruCulture tubes were manufactured at HOT Screen (Reutlingen, Germany). Donor recruitment costs were covered by each participating FOCIS center of excellence. Author contributions: DD, VR, VC, SL, OL, EMC, RP, MS, AT & MLA designed the study. CB, RD, MNU, DL, FM, JGRM, CO, LR, AS performed experiments. DD, VR, & MLA performed analysis and wrote the paper. All authors reviewed the manuscript., Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Université libre de Bruxelles (ULB), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre de Recherche Translationnelle ( CRT ), Centre Hospitalier Universitaire de Nantes, Centre de Recherche en Transplantation et Immunologie ( U1064 Inserm - CRTI - CHU Nantes ), Université de Nantes ( UN ) -Hôtel-Dieu de Nantes-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre hospitalier universitaire de Nantes ( CHU Nantes ), Université Libre de Bruxelles [Bruxelles] ( ULB ), Investigation Clinique et d’Accès aux Ressources Biologiques (Plate-forme) - Clinical Investigation and Access to BioResources ( ICAReB ), Immunité et cancer ( U932 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Curie, Alloimmunité-Autoimmunité-Transplantation ( A2T ), and Université Paris Diderot - Paris 7 ( UPD7 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM )

Subjects
0301 basic medicine, Lipopolysaccharides, Whole blood stimulation, CD3 Complex, medicine.medical_treatment, CD8 Antigens, Point-of-Care Systems, Immunology, Stimulation, Blood Donors, Immunologic Tests, Peripheral blood mononuclear cell, Antibodies, Functional immune responses, 03 medical and health sciences, Immune system, medicine, [ SDV.IMM ] Life Sciences [q-bio]/Immunology, Immunology and Allergy, Humans, Whole blood, biology, business.industry, Immunotherapy, Multi-center clinical studies, 3. Good health, Vaccination, Immunomonitoring, 030104 developmental biology, Gene Expression Regulation, PBMCs, biology.protein, [SDV.IMM]Life Sciences [q-bio]/Immunology, Cytokines, Antibody, business, Biomarkers
Abstract

Functional immune responses are increasingly important for clinical studies, providing in depth biomarker information to assess immunotherapy or vaccination. Incorporating functional immune assays into routine clinical practice has remained limited due to challenges in standardizing sample preparation. We recently described the use of a whole blood syringe-based system, TruCulture (R), which permits point-of-care standardized immune stimulation. Here, we report on a multi-center clinical study in seven FOCIS Centers of Excellence to directly compare TruCulture to conventional PBMC methods. Whole blood and PBMC5 from healthy donors were exposed to LPS, anti-CD3 anti-CD28 antibodies, or media alone. 55 protein analytes were analyzed centrally by Luminex multi-analyte profiling in a CLIA-certified laboratory. TruCulture responses showed greater reproducibility and improved the statistical power for monitoring differential immune response activation. The use of TruCulture addresses a major unmet need through a robust and flexible method for immunomonitoring that can be reproducibly applied in multi-center clinical studies. One sentence summary: A multi-center study revealed greater reproducibility from whole blood stimulation systems as compared to PBMC stimulation for studying induced immune responses. (C) 2017 Published by Elsevier Inc.

Published
2017

12. Simultaneous analysis of large-scale RNAi screens for pathogen entry

Author

Peter Bühlmann, Bernd Rinn, Vincent Rouilly, Shyan Huey Low, Christoph Dehio, Matthias C. Truttmann, Pauli Rämö, Niko Beerenwinkel, Wolf-Dietrich Hardt, Gabriel Studer, Mario Emmenlauer, Alain Casanova, Christian von Mering, Jason Mercer, Eva Pujadas, Juliane Siebourg-Polster, Cécile Arrieumerlou, Houchaima Ben-Tekaya, Michael Podvinec, Javier Pizarro-Cerdá, Artur Yakimovich, Andreas Kaufmann, Michael Stebler, Raquel Conde-Álvarez, Bettina Cardel, Simone Eicher, Fabian Schmich, Ari Helenius, Anna Drewek, Peter Z. Kunszt, Christoph Kasper, Lucas Pelkmans, Simone Muntwiler, Ewa Szczurek, Gabor Csucs, Pascale Cossart, Andreas Kühbacher, Daria Mudrak, Berend Snijder, Saskia Kreibich, Urs F. Greber, Andreas Vonderheit, University of Basel (Unibas), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Université Paris Descartes - Paris 5 (UPD5), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL), Universität Zürich [Zürich] = University of Zurich (UZH), Universidad de Navarra [Pamplona] (UNAV), Interactions Bactéries-Cellules (UIBC), Institut National de la Recherche Agronomique (INRA)-Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute of Biochemistry, Vilnius University [Vilnius], Institut National de la Recherche Agronomique (INRA), SystemsX Ch, SyBIT, Partenaires INRAE, Inst Mol Biol, Swiss Initiative for Systems Biology [51RT0_126008, 51RTP0_151029], Swiss National Science Foundation (SNSF) [31003A-132979], ERC advanced grant [340330, 233348], ANR [MIE-2009-SignRupVac], Fondation Le Roch and Fondation Jeantet, Pasteur-Paris University International Doctoral Program/Institut Carnot Maladies Infectieuses, ETH Zurich Postdoctoral Fellowship Program, Marie Curie Actions for People COFUND program [FEL-13 12-1], SystemsX.ch, Swiss initiative in systems biology, under IPhd [2009/025], International PhD Program 'Fellowships for Excellence' of the Biozentrum, grant SystemsX iPhD, grant Novartis: Stiftung fur Medizinisch-Biologische Forschung, University of Zurich: Bauten und Investitionen, SNSF [31003A_141222/1], iPhD fellowship [SXPHIO_142001/1], University of Zurich, Dehio, Christoph, and Université de Lausanne (UNIL)

Subjects
Small interfering RNA, base de séquences, hit detection, [SDV]Life Sciences [q-bio], arn i, Genomics, Computational biology, Biology, Proteomics, Cell Line, 1311 Genetics, RNA interference, High-Throughput Screening Assays, Genetics, Humans, RNA, Small Interfering, Gene Library, Effector, high-throughput high-content RNAi screening, Scale (chemistry), screening, Reproducibility of Results, pathogen entry, linear mixed model, 10124 Institute of Molecular Life Sciences, ROC Curve, Host-Pathogen Interactions, High-throughput high-content RNAi screening, Pathogen entry, Linear mixed model, Hit detection, 1305 Biotechnology, 570 Life sciences, biology, RNA Interference, DNA microarray, Biotechnology, Research Article
Abstract

Background Large-scale RNAi screening has become an important technology for identifying genes involved in biological processes of interest. However, the quality of large-scale RNAi screening is often deteriorated by off-targets effects. In order to find statistically significant effector genes for pathogen entry, we systematically analyzed entry pathways in human host cells for eight pathogens using image-based kinome-wide siRNA screens with siRNAs from three vendors. We propose a Parallel Mixed Model (PMM) approach that simultaneously analyzes several non-identical screens performed with the same RNAi libraries. Results We show that PMM gains statistical power for hit detection due to parallel screening. PMM allows incorporating siRNA weights that can be assigned according to available information on RNAi quality. Moreover, PMM is able to estimate a sharedness score that can be used to focus follow-up efforts on generic or specific gene regulators. By fitting a PMM model to our data, we found several novel hit genes for most of the pathogens studied. Conclusions Our results show parallel RNAi screening can improve the results of individual screens. This is currently particularly interesting when large-scale parallel datasets are becoming more and more publicly available. Our comprehensive siRNA dataset provides a public, freely available resource for further statistical and biological analyses in the high-content, high-throughput siRNA screening field., BMC Genomics, 15, ISSN:1471-2164

Published
2014

13. Functional analysis via standardized whole-blood stimulation systems defines the boundaries of a healthy immune response to complex stimuli

Author

Ivo Gomperts-Boneca, Ludovic Deriano, Spencer L. Shorte, Annick Dubois, Anavaj Sakuntabhai, Claude Leclerc, Caroline Demangel, Ana Cumano, Lluis Quintana-Murci, Matthew L. Albert, Antonio A. Freitas, Antoine Toubert, Lars Rogge, Manfred Schmolz, Gérard Eberl, Vincent Rouilly, Valentina Libri, Alejandra Urrutia, James P. Di Santo, Eric Tartour, Marie-Noëlle Ungeheuer, Françoise Dromer, Hugo Mouquet, Olivier Schwartz, Benoit Beitz, Mikael David, Olivier Lantz, Stéphanie Thomas, Ivo G. Boneca, Philippe Bousso, Laurent Abel, Vassili Soumelis, Cécile Delval, Darragh Duffy, Benno Schwikowski, Frédéric Tangy, Serge Hercberg, Jost Enninga, Milena Hasan, Samuel S.T. LaBrie, Sandra Pellegrini, Aurélie Bisiaux, Stanislas Pol, Marc Daëron, Andrés Alcover, Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Centre d'Immunologie Humaine (CIH), Substances Lichéniques et Photoprotection, Université de Rennes (UR), Centre d'Immunologie et de Maladies Infectieuses (CIMI), 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), Immunobiologie des Cellules Dendritiques, Myriad rules based medicine, Chambre Régionale d'Agriculture des Pays de la Loire, Biologie et Génétique de la Paroi bactérienne - Biology and Genetics of Bacterial Cell Wall (BGPB), Laboratoire de géographie physique : Environnements Quaternaires et Actuels (LGP), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Département d'Immunologie - Department of Immunology, Immunorégulation, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Génétique Evolutive Humaine - Human Evolutionary Genetics, Laboratory of Cellular Physiology and Immunology and Chris Browne Center, Rockefeller University [New York], St. Giles Laboratory of Human Genetics of Infectious Diseases, Laboratory of Human Genetics of Infectious Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM), Imagine - Institut des maladies génétiques (IMAGINE - U1163), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biologie Cellulaire des Lymphocytes - Lymphocyte Cell Biology, Dynamiques des Réponses Immunes, Lymphopoïèse (Lymphopoïèse (UMR_1223 / U1223 / U-Pasteur_4)), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cellule Pasteur, Université Paris Diderot - Paris 7 (UPD7)-PRES Sorbonne Paris Cité, Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Immunobiologie de l'Infection - Immunobiology of Infection, Département de Génomes et Génétique - Department of Genomes and Genetics, Mycologie moléculaire, Centre National de Référence Mycologie et Antifongiques-Mycologie Moléculaire (CNRMA), Microenvironnement et Immunité - Microenvironment and Immunity, Dynamique des Interactions Hôte-Pathogène - Dynamics of Host-Pathogen Interactions, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de formation en masso-kinésithérapie (IFMK Brest), Université de Brest (UBO)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Réponse humorale aux pathogènes, Signalisation des Cytokines - Cytokine Signaling, Service d'hépatologie médicale [CHU Cochin], Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Génétique fonctionnelle des Maladies infectieuses - Functional Genetics of Infectious Diseases, Centre de recherche sur les liens sociaux (CERLIS - UMR 8070), Université Sorbonne Nouvelle - Paris 3-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Biologie systémique - Systems Biology, Imagopole (CITECH), Laboratoire d'Immunologie Clinique, Institut Curie [Paris], Génomique virale et vaccination, Cytokines et Immunologie des Tumeurs Humaines (U753), Université Paris-Sud - Paris 11 (UP11)-Institut Gustave Roussy (IGR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Saint-Louis, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7), Investigation Clinique et d’Accès aux Ressources Biologiques (Plate-forme) - Clinical Investigation and Access to BioResources (ICAReB), This work benefited from support of the French government’s Invest in the Future Program, managed by the Agence Nationale de la Recherche (ANR, reference 10-LABX-69-01). We also acknowledge A. Pugsley for his support in obtaining funding and the logistical aspects of initiating the project, Milieu Intérieur Consortium (32 collaborateurs) : Abel L, Alcover A, Bousso P, Cumano A, Daëron M, Delval C, Demangel C, Deriano L, Di Santo J, Dromer F, Eberl G, Enninga J, Freitas A, Gomperts-Boneca I, Hercberg S, Lantz O, Leclerc C, Mouquet H, Pellegrini S, Pol S, Rogge L, Sakuntabhai A, Schwartz O, Schwikowski B, Shorte S, Soumelis V, Tangy F, Tartour E, Toubert A, Ungeheuer MN, Quintana-Murci L, Albert ML., ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pasteur [Paris], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris 13 (UP13)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre de Recherche Translationnelle ( CRT ), Centre d'Immunologie Humaine ( CIH ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Centre d'Immunologie et de Maladies Infectieuses ( CIMI ), 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 ), Biologie et Génétique de la Paroi bactérienne, Laboratoire de géographie physique ( LGP ), Université Panthéon-Sorbonne ( UP1 ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ) -Centre National de la Recherche Scientifique ( CNRS ), Département d'Immunologie, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique ( CNRS ), rockefeller university, St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Institut National de la Santé et de la Recherche Médicale ( INSERM ), Imagine - Institut des maladies génétiques ( IMAGINE - U1163 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Biologie Cellulaire des Lymphocytes, Lymphopoïèse, Université Paris Diderot - Paris 7 ( UPD7 ) -PRES Sorbonne Paris Cité, Centre d'Immunologie de Marseille - Luminy ( CIML ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Aix Marseille Université ( AMU ) -Centre National de la Recherche Scientifique ( CNRS ), Immunobiologie de l'Infection, Département de Génomes et Génétique, Centre National de Référence Mycologie et Antifongiques-Mycologie Moléculaire ( CNRMA ), Microenvironnement et Immunité, Dynamique des Interactions Hôte-Pathogène, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut de formation en masso-kinésithérapie ( IFMK Brest ), Université de Brest ( UBO ) -Centre Hospitalier Régional Universitaire de Brest ( CHRU Brest ), Signalisation des Cytokines, Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Cochin [AP-HP], Génétique fonctionnelle des Maladies infectieuses, CERLIS - Centre de recherche sur les liens sociaux - UMR 8070 ( CERLIS - UMR 8070 ), Centre National de la Recherche Scientifique ( CNRS ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Université Sorbonne Nouvelle - Paris 3, Biologie systémique, Imagopole ( CITECH ), Institut Curie, Institut Curie-Institut Curie, Cytokines et Immunologie des Tumeurs Humaines ( U753 ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut Gustave Roussy ( IGR ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Assistance publique - Hôpitaux de Paris (AP-HP)-Université Paris Diderot - Paris 7 ( UPD7 ), Investigation Clinique et d’Accès aux Ressources Biologiques (Plate-forme) - Clinical Investigation and Access to BioResources ( ICAReB ), ANR : 10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE ( 2010 ), Centre de Recherche Translationnelle (CRT), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Panthéon-Sorbonne (UP1), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), CHU Cochin [AP-HP]-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Université Paris Diderot - Paris 7 (UPD7)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), and ANR: 10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010)

Subjects
Chemokine, MESH : Cytokines, MESH : Antigens, Disease, MESH : Monitoring, Immunologic, Adaptive Immunity, 0302 clinical medicine, Immunophenotyping, Reference Values, [ SDV.IMM ] Life Sciences [q-bio]/Immunology, Immunology and Allergy, MESH: Monitoring, Immunologic, MESH: Healthy Volunteers, 0303 health sciences, MESH: Cytokines, biology, MESH: Reference Values, MESH : Immunity, Innate, Healthy Volunteers, 3. Good health, MESH: Reproducibility of Results, Infectious Diseases, Cytokines, [SDV.IMM]Life Sciences [q-bio]/Immunology, MESH: Antigens, MESH: Immunity, Innate, Inflammation Mediators, Functional analysis (psychology), Whole blood stimulation, MESH : Adaptive Immunity, Immunology, MESH: Inflammation Mediators, MESH : Reference Values, MESH : Inflammation Mediators, 03 medical and health sciences, Immune system, Immunity, Monitoring, Immunologic, Humans, Antigens, 030304 developmental biology, MESH : Healthy Volunteers, MESH: Humans, MESH : Reproducibility of Results, MESH : Humans, Reproducibility of Results, Immunity, Innate, Reference values, biology.protein, MESH: Adaptive Immunity, 030215 immunology
Abstract

International audience; Standardization of immunophenotyping procedures has become a high priority. We have developed a suite of whole-blood, syringe-based assay systems that can be used to reproducibly assess induced innate or adaptive immune responses. By eliminating preanalytical errors associated with immune monitoring, we have defined the protein signatures induced by (1) medically relevant bacteria, fungi, and viruses; (2) agonists specific for defined host sensors; (3) clinically employed cytokines; and (4) activators of T cell immunity. Our results provide an initial assessment of healthy donor reference values for induced cytokines and chemokines and we report the failure to release interleukin-1α as a common immunological phenotype. The observed naturally occurring variation of the immune response may help to explain differential susceptibility to disease or response to therapeutic intervention. The implementation of a general solution for assessment of functional immune responses will help support harmonization of clinical studies and data sharing.

Published
2014

14. Opportunities for microfluidic technologies in synthetic biology

Author

James Chappell, Xize Niu, Andrew J. deMello, Vincent Rouilly, Shelly Gulati, Paul S. Freemont, Richard I. Kitney, and Joshua B. Edel

Subjects
Systems biology, Green Fluorescent Proteins, Microfluidics, Biomedical Engineering, Biophysics, Bioengineering, Nanotechnology, Biology, Models, Biological, Polymerase Chain Reaction, Biochemistry, Biomaterials, Synthetic biology, Humans, Hardware_ARITHMETICANDLOGICSTRUCTURES, Miniaturization, business.industry, Gene Expression Profiling, Systems Biology, Computational Biology, DNA-Directed RNA Polymerases, Equipment Design, Articles, Microfluidic Analytical Techniques, Biotechnology, Genetic Engineering, Engineering principles, business
Abstract

We introduce microfluidics technologies as a key foundational technology for synthetic biology experimentation. Recent advances in the field of microfluidics are reviewed and the potential of such a technological platform to support the rapid development of synthetic biology solutions is discussed.

Published
2009

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