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6. Mere end lugtesans - COVID-19 er associeret med svær påvirkning af lugtesansen, smagssansen og mundfølelsen

Author

Parma, Valentina, Ohla, Kathrin, Veldhuizen, Maria G, Niv, Masha Y, Kelly, Christine E, Bakke, Alyssa J, Cooper, Keiland W, Bouysset, Cédric, Pirastu, Nicola, Dibattista, Michele, Kaur, Rishemjit, Liuzza, Marco Tullio, Pepino, Marta Y, Schöpf, Veronika, Pereda-Loth, Veronica, Olsson, Shannon B, Gerkin, Richard C, Rohlfs Domínguez, Paloma, Albayay, Javier, Farruggia, Michael C, Bhutani, Surabhi, Fjaeldstad, Alexander W, Kumar, Ritesh, Menini, Anna, Bensafi, Moustafa, Sandell, Mari, Konstantinidis, Iordanis, Di Pizio, Antonella, Genovese, Federica, Öztürk, Lina, Thomas-Danguin, Thierry, Frasnelli, Johannes, Boesveldt, Sanne, Saatci, Özlem, Saraiva, Luis R, Lin, Cailu, Golebiowski, Jérôme, Hwang, Liang-Dar, Ozdener, Mehmet Hakan, Guàrdia, Maria Dolors, Laudamiel, Christophe, Ritchie, Marina, Havlícek, Jan, Pierron, Denis, Roura, Eugeni, Navarro, Marta, Nolden, Alissa A, Lim, Juyun, Whitcroft, Katherine L, Colquitt, Lauren R, Ferdenzi, Camille, Brindha, Evelyn V, Altundag, Aytug, Macchi, Alberto, Nunez-Parra, Alexia, Patel, Zara M, Fiorucci, Sébastien, Philpott, Carl M, Smith, Barry C, Lundström, Johan N, Mucignat, Carla, Parker, Jane K, van den Brink, Mirjam, Schmuker, Michael, Fischmeister, Florian Ph S, Heinbockel, Thomas, Shields, Vonnie D C, Faraji, Farhoud, Santamaría, Enrique, Fredborg, William E A, Morini, Gabriella, Olofsson, Jonas K, Jalessi, Maryam, Karni, Noam, D’Errico, Anna, Alizadeh, Rafieh, Pellegrino, Robert, Meyer, Pablo, Huart, Caroline, Chen, Ben, Soler, Graciela M, Alwashahi, Mohammed K, Welge-Lüssen, Antje, Freiherr, Jessica, de Groot, Jasper H B, Klein, Hadar, Okamoto, Masako, Singh, Preet Bano, Hsieh, Julien W, Abdulrahman, Olagunju, Dalton, Pamela, Yan, Carol H, Voznessenskaya, Vera V, Chen, Jingguo, Sell, Elizabeth A, Walsh-Messinger, Julie, Archer, Nicholas S, Koyama, Sachiko, Deary, Vincent, Roberts, S Craig, Yanık, Hüseyin, Albayrak, Samet, Nováková, Lenka Martinec, Croijmans, Ilja, Mazal, Patricia Portillo, Moein, Shima T, Margulis, Eitan, Mignot, Coralie, Mariño, Sajidxa, Georgiev, Dejan, Kaushik, Pavan K, Malnic, Bettina, Wang, Hong, Seyed-Allaei, Shima, Yoluk, Nur, Razzaghi-Asl, Sara, Justice, Jeb M, Restrepo, Diego, Reed, Danielle R, Hummel, Thomas, Munger, Steven D, Hayes, John E, Indústries Alimentàries, Qualitat i Tecnologia Alimentària, Tecnologia Alimentària, Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Mersin University, The Hebrew University of Jerusalem (HUJ), AbScent, Pennsylvania State University (Penn State), Penn State System, University of California [Irvine] (UC Irvine), University of California (UC), Université Côte d'Azur (UCA), University of Edinburgh, Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Central Scientific Instruments Organisation (CSIR), Università degli Studi 'Magna Graecia' di Catanzaro = University of Catanzaro (UMG), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Medizinische Universität Wien = Medical University of Vienna, Groupement scientifique de Biologie et de Medecine Spatiale (GSBMS), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES), Tata Institute for Fundamental Research (TIFR), Arizona State University [Tempe] (ASU), Universidad de Extremadura - University of Extremadura (UEX), Università degli Studi di Padova = University of Padua (Unipd), Yale School of Medicine [New Haven, Connecticut] (YSM), San Diego State University (SDSU), Aarhus University [Aarhus], University of Hertfordshire [Hatfield] (UH), Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies (SISSA / ISAS), Neurosciences Sensorielles Comportement Cognition, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Turku, Aristotle University of Thessaloniki, Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Monell Chemical Senses Center, Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), Université de Montréal (UdeM), Wageningen University and Research Centre (WUR), Medical Science University, Sidra Medicine [Doha, Qatar], Institut de Chimie de Nice (ICN), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), University of Southern Queensland (USQ), Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA), DreamAir Llc, Charles University [Prague] (CU), Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), University of Massachusetts System (UMASS), Oregon State University (OSU), Ear Institute, UCL, Lyon Neuroscience Research center, Karunya University, Biruni University, Assi Sette Llaghi Varese, Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, University of East Anglia [Norwich] (UEA), California Department of Food and Agriculture (CDFA), Unité mixte de recherche interactions plantes-microorganismes, Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Maastricht University [Maastricht], Institute for Biology - Neurobiology, Freie Universität Berlin, Karl-Franzens-Universität Graz, Howard University College of Medicine, Towson University, University of California [San Diego] (UC San Diego), Proteomics, Center for Applied Medical Research (CIMA), Stockholm University, University of Gastronomic Sciences, Iran University of Medical Sciences, Goethe Universität Frankfurt, University of Tennessee, IBM T.J. Watson Research Center, Université libre de Bruxelles (ULB), Guangzhou Medical University, Buenos Aires University and GEOG (Grupo de Estudio de Olfato y Gusto), Sultan Qaboos University (SQU), Federal University of Technology of Akure (FUTA), A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), Hospital of Xi'an Jiaotong University, University of Pennsylvania, University of Dayton, CSIRO Agriculture and Food (CSIRO), Indiana University [Bloomington], Indiana University System, University of Northumbria at Newcastle [United Kingdom], University of Stirling, Middle East Technical University [Ankara] (METU), Utrecht University [Utrecht], Instituto Universitario del Hospital Italiano [Buenos Aires, Argentina], Institute for Research in Fundamental Sciences [Tehran] (IPM), Hebrew University of Jerusalem, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Terrazas del Club Hipico, University Medical Centre Ljubljana [Ljubljana, Slovenia] (UMCL), Tata Institute of Fundamental Research [Bangalore], Universidade de São Paulo = University of São Paulo (USP), University of Florida [Gainesville] (UF), University of Colorado Anschutz [Aurora], Center for Smell and Taste, Department of Food Science, Pennsylvania State University., Julien, Sabine, Tıp Fakültesi, UCL - SSS/IONS/NEUR - Clinical Neuroscience, UCL - (SLuc) Service d'oto-rhino-laryngologie, Department of Food and Nutrition, Senses and Food, Research Center Jülich, University of California [Irvine] (UCI), University of California, Università degli studi di Bari Aldo Moro (UNIBA), Università degli Studi 'Magna Graecia' di Catanzaro [Catanzaro, Italie] (UMG), University of Extremadura, University of Padova, Yale University School of Medicine, Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, University of Helsinki, Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Institute of Agrifood Research and Technology (IRTA), Universita degli Studi di Padova, Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Karl-Franzens-Universität [Graz, Autriche], University of California San Diego Health, University of Brussels, University of Pennsylvania [Philadelphia], Tata Institute of Fundamental Research, University of São Paulo (USP), UCL - SSS/IONS - Institute of NeuroScience, FSE Campus Venlo, and RS: FSE UCV

Subjects
Male, Taste, Physiology, Smagstab, Audiology, AcademicSubjects/SCI01180, Settore BIO/09 - Fisiologia, Behavioral Neuroscience, chemistry.chemical_compound, Olfaction Disorders, Taste Disorders, 0302 clinical medicine, RATINGS, Hyposmia, Surveys and Questionnaires, CHEMOSENSITIVITY, [SDV.IDA]Life Sciences [q-bio]/Food engineering, Viral, PALADAR, 030223 otorhinolaryngology, Sensory Science and Eating Behaviour, media_common, TASTE, US NATIONAL-HEALTH, [SDV.IDA] Life Sciences [q-bio]/Food engineering, Middle Aged, Biological Sciences, 16. Peace & justice, Sensory Systems, 3. Good health, Smell, GCCR Group Author, ddc:540, Smell loss, Female, Original Article, medicine.symptom, Corrigendum, Coronavirus Infections, olfaction, Adult, somatosensation, medicine.medical_specialty, 663/664, Coronavirus disease 2019 (COVID-19), OLFACTORY DISORDERS, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), media_common.quotation_subject, Pneumonia, Viral, head and neck surgery, Aged, Betacoronavirus, COVID-19, Humans, Pandemics, SARS-CoV-2, Self Report, Somatosensory Disorders, Young Adult, Anosmia, Sensory system, Olfaction, 03 medical and health sciences, Chemesthesis, Physiology (medical), Perception, medicine, Neurology & Neurosurgery, Behaviour Change and Well-being, business.industry, R-PACKAGE, 3112 Neurosciences, Pneumonia, Parosmia, COMPONENT, Smagssans, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, Sensoriek en eetgedrag, chemistry, Lugtetab, business, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, 030217 neurology & neurosurgery, Lugtesans
Abstract

Correction: Chemical Senses, Volume 46, 2021, bjab050, https://doi.org/10.1093/chemse/bjab050 Published: 08 December 2021 Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 and chemosensory impairments, such as anosmia. However, these reports have downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, and generally lacked quantitative measurements. Here, we report the development, implementation, and initial results of a multilingual, international questionnaire to assess self-reported quantity and quality of perception in 3 distinct chemosensory modalities (smell, taste, and chemesthesis) before and during COVID-19. In the first 11 days after questionnaire launch, 4039 participants (2913 women, 1118 men, and 8 others, aged 19-79) reported a COVID-19 diagnosis either via laboratory tests or clinical assessment. Importantly, smell, taste, and chemesthetic function were each significantly reduced compared to their status before the disease. Difference scores (maximum possible change +/- 100) revealed a mean reduction of smell (-79.7 +/- 28.7, mean +/- standard deviation), taste (-69.0 +/- 32.6), and chemesthetic (-37.3 +/- 36.2) function during COVID-19. Qualitative changes in olfactory ability (parosmia and phantosmia) were relatively rare and correlated with smell loss. Importantly, perceived nasal obstruction did not account for smell loss. Furthermore, chemosensory impairments were similar between participants in the laboratory test and clinical assessment groups. These results show that COVID-19-associated chemosensory impairment is not limited to smell but also affects taste and chemesthesis.The multimodal impact of COVID-19 and the lack of perceived nasal obstruction suggest that severe acute respiratory syndrome coronavirus strain 2 (SARS-CoV-2) infection may disrupt sensory-neural mechanisms.

Published
2020

7. Bases moléculaires de la perception chimiosensorielle

Author

Bouysset, Cédric and STAR, ABES

Subjects
Chémoinformatique, GPCR, [CHIM.OTHE] Chemical Sciences/Other, Taste, Machine learning, [CHIM.CHEM] Chemical Sciences/Cheminformatics, Molecular modeling, Chemoinformatics, RCPG, Apprentissage automatique, Olfaction, Modélisation moléculaire, Gustation
Abstract

Smell and taste perception consists in a chemical stimulation of transmembrane receptors lying on the surface of sensory cells located in the nasal or oral cavity. The receptors involved in olfaction and the perception of bitter, sweet and umami taste all belong to the well-studied G protein-coupled receptors (GPCR) family, yet to date their exact tridimensional structure still eludes us. In this thesis, I study the molecular structures at the frontline of chemosensory perception, namely receptors and their ligands, through a computational lens. To begin with, I expose how quantitative structure-activity relationships (QSAR) lead us to the discovery of natural semiochemicals that effectively disrupt the destructive behavior of a pest to crop plants, Spodoptera littoralis, by targeting its olfactory receptors. I then apply a similar machine learning strategy to develop an online predictive platform that estimates the relative sweetness of molecules based on their structure, resulting in the discovery of a novel sweet-tasting lignan scaffold. Finally, I make use of molecular modeling and available mutagenesis data to provide relevant three-dimensional models of bitter taste receptors, and predict molecular switches involved in ligand-sensing and receptor activation. Besides, I design a Python library that encodes interactions in molecular complexes as fingerprints for an efficient analysis of molecular dynamics trajectories, docking results and experimental structures, and showcase it on a variety of scenarios involving GPCRs. Overall, this thesis illustrates the implementation of computational strategies to gain knowledge on chemosensory perception, from taste to olfaction, at the molecular level., La perception olfactive et gustative provient d’une stimulation de nature chimique des récepteurs transmembranaires émergeants de la surface de cellules sensorielles situées dans la cavité nasale ou orale. Les récepteurs impliqués dans la perception des odeurs et des goûts amer, sucré et umami appartiennent à la famille des récepteurs couplés aux protéines G (RCPG). Malgré une connaissance approfondie de cette famille, une définition précise de la structure tridimensionnelle des RCPG chimiosensoriels nous échappe encore à ce jour. Dans cette thèse, je mets en lumière les structures moléculaires en première ligne de la perception chimiosensorielle, à savoir les récepteurs et leurs ligands, au travers d’un microscope computationnel. Dans un premier temps, je mets en avant un cas concret d’utilisation des relations quantitatives structure à activité (QSAR) par la découverte de composés sémiochimiques naturels interférant avec le comportement destructeur d’un insecte ravageur de cultures agricoles, Spodoptera littoralis, en ciblant ses récepteurs olfactifs. Par la suite, en me basant sur une méthode d’apprentissage automatique similaire, je conçois une plateforme en ligne permettant la prédiction du pouvoir sucrant de molécules en se basant sur leur structure, ce qui nous a permis de révéler un composé sucré innovant de la famille des lignanes. Pour finir, grâce aux outils de modélisation moléculaire et aux données de mutagénèse dirigée, je construits des modèles 3D de récepteurs au goût amer afin de prédire les interrupteurs moléculaires impliqués dans la détection des ligands et l’activation de ces récepteurs. En parallèle, je développe une librairie Python qui encode les interactions de complexes moléculaires sous forme d’empreinte numérique afin d’analyser des trajectoires de dynamique moléculaire, des structures issues d’amarrage moléculaire, ou des structures expérimentales, et je mets en valeur ce logiciel dans une multitude de scenarios impliquant des RCPG. Dans l’ensemble, ces travaux de thèse illustrent la mise en œuvre de méthodes numériques pour extraire des informations sur la perception chimiosensorielle, qu’elle soit olfactive ou gustative, à l’échelle moléculaire.

Published
2021

8. Numerical models contribute to expand the sweet taste chemical space

Author

Bouysset, Cédric, Belloir, Christine, Antonczak, Serge, Briand, Loïc, Fiorucci, Sébastien, and FIORUCCI, Sébastien

Subjects
[CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, [CHIM] Chemical Sciences, [CHIM.CHEM] Chemical Sciences/Cheminformatics, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, [SDV.BBM.BP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
Published
2021

9. The best COVID-19 predictor is recent smell loss: a cross-sectional study

Author

Gerkin, Richard, Ohla, Kathrin, Veldhuizen, Maria Geraldine, Joseph, Paule, Kelly, Christine, Bakke, Alyssa, Steele, Kimberley, Pellegrino, Robert, Pepino, Marta, Bouysset, Cédric, Soler, Graciela, Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland, Croijmans, Ilja, Di Pizio, Antonella, Ozdener, M. Hakan, D'Errico, Anna, Fischmeister, Florian Ph.S, Bock, María Adelaida, Domínguez, Paloma Paloma, Yanık, Hüseyin, Boesveldt, Sanne, de Groot, Jasper, Dinnella, Caterina, Freiherr, Jessica, Laktionova, Tatiana, Mariño, Sajidxa, Monteleone, Erminio, Nunez-Parra, Alexia, Abdulrahman, Olagunju, Ritchie, Marina, Thomas-Danguin, Thierry, Walsh-Messinger, Julie, Al Abri, Rashid, Alizadeh, Rafieh, Bignon, Emmanuelle, Cantone, Elena, Cecchini, Maria Paola, Chen, Jingguo, Guàrdia, Maria Dolors, Hoover, Kara, Karni, Noam, Navarro, Marta, Nolden, Alissa, Mazal, Patricia Portillo, Rowan, Nicholas, Sarabi-Jamab, Atiye, Archer, Nicholas, Chen, Ben, Di Valerio, Elizabeth, Feeney, Emma, Frasnelli, Johannes, Hannum, Mackenzie, Hopkins, Claire, Klein, Hadar, Mignot, Coralie, Mucignat, Carla, Ning, Yuping, Ozturk, Elif, Peng, Mei, Saatci, Ozlem, Sell, Elizabeth, Yan, Carol, Alfaro, Raul, Cecchetto, Cinzia, Coureaud, Gérard, Herriman, Riley, Justice, Jeb, Kaushik, Pavan Kumar, Koyama, Sachiko, Overdevest, Jonathan, Pirastu, Nicola, Ramirez, Vicente, Roberts, S. Craig, Smith, Barry, Cao, Hongyuan, Wang, Hong, Balungwe, Patrick, Baguma, Marius, Veldhuizen, Maria, Farruggia, Michael, Pizio, Antonella, Hakan Ozdener, M, Fjaeldstad, Alexander, Lin, Cailu, Sandell, Mari, Singh, Preet, Brindha, V. Evelyn, Olsson, Shannon, Saraiva, Luis, Ahuja, Gaurav, Alwashahi, Mohammed, Bhutani, Surabhi, Fornazieri, Marco, Golebiowski, Jérôme, Hwang, Liang-Dar, Öztürk, Lina, Roura, Eugeni, Spinelli, Sara, Whitcroft, Katherine, Faraji, Farhoud, Fischmeister, Florian, Heinbockel, Thomas, Hsieh, Julien, Huart, Caroline, Konstantinidis, Iordanis, Menini, Anna, Morini, Gabriella, Olofsson, Jonas, Philpott, Carl, Pierron, Denis, Shields, Vonnie, Voznessenskaya, Vera, Albayay, Javier, Altundag, Aytug, Bensafi, Moustafa, Bock, María, Calcinoni, Orietta, Fredborg, William, Laudamiel, Christophe, Lim, Juyun, Lundström, Johan, Macchi, Alberto, Meyer, Pablo, Moein, Shima, Santamaría, Enrique, Sengupta, Debarka, Rohlfs Dominguez, Paloma, Yanik, Hüseyin, Group, GCCR, Hummel, Thomas, Hayes, John, Reed, Danielle, Niv, Masha, Munger, Steven, Parma, Valentina, Arizona State University [Tempe] (ASU), Institute of Neuroscience and Medicine [Jülich] (INM-1), Mersin University, National Institutes of Health [Bethesda] (NIH), AbScent, Pennsylvania State University (Penn State), Penn State System, National Institute of Diabetes and Digestive and Kidney Diseases [Bethesda], Yale University [New Haven], Tennessee State University, University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Institut de Chimie de Nice (ICN), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Buenos Aires University and GEOG (Grupo de Estudio de Olfato y Gusto), Anthropologie Moléculaire et Imagerie de Synthèse (AMIS), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), University of Bari Aldo Moro (UNIBA), University of California [Irvine] (UCI), University of California, Utrecht University [Utrecht], Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Monell Chemical Senses Center, Regional Hospital West Jutland [Denmark], University of Helsinki, University of Oslo (UiO), Karunya University, Tata Institute for Fundamental Research (TIFR), Research at Sidra Medicine Research Branch [Doha, Qatar], Indraprastha Institute of Information Technology [New Delhi] (IIIT-Delhi), Sultan Qaboos University (SQU), San Diego State University (SDSU), Goethe-University Frankfurt am Main, State University of Londrina = Universidade Estadual de Londrina, University of Queensland [Brisbane], Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), University College of London [London] (UCL), University of Graz, Howard University, Geneva University Hospital (HUG), Cliniques Universitaires Saint-Luc [Bruxelles], Aristotle University of Thessaloniki, Scuola Internazionale Superiore di Studi Avanzati / International School for Advanced Studies (SISSA / ISAS), University of Gastronomic Sciences of Pollenzo (UNISG), Stockholm University, University of East Anglia [Norwich] (UEA), Towson University [Towson, MD, United States], University of Maryland System, A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), Universita degli Studi di Padova, Biruni University, Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospital General de Barrio Obrero [Asunción, Paraguay] (Public Hospital Barrio Obrero ), Private practice [Milan], DreamAir Llc, Oregon State University (OSU), Cancer Center Karolinska [Karolinska Institutet] (CCK), Karolinska Institutet [Stockholm], University of Insubria, Varese, Computational Biology Center (IBM T.J. Watson Research Center), IBM, Institute for Research in Fundamental Sciences [Tehran] (IPM), Instituto de Investigación Sanitaria de Navarra [Pamplona, Spain] (IdiSNA), University of Extremadura, Technische Universität Dresden = Dresden University of Technology (TU Dresden), The Hebrew University of Jerusalem (HUJ), University of Florida [Gainesville] (UF), Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE), Non-byline authors (to be listed as collaborators in PubMed under the GCCR Group Author): Sanne Boesveldt, Jasper H.B. de Groot, Caterina Dinnella, Jessica Freiherr, Tatiana Laktionova, Sajidxa Mariño, Erminio Monteleone, Alexia Nunez-Parra, Olagunju Abdulrahman, Marina Ritchie, Thierry Thomas-Danguin, Julie Walsh-Messinger, Rashid Al Abri, Rafieh Alizadeh, Emmanuelle Bignon, Elena Cantone, Maria Paola Cecchini, Jingguo Chen, Maria Dolors Guàrdia, Kara C. Hoover, Noam Karni, Marta Navarro, Alissa A. Nolden, Patricia Portillo Mazal, Nicholas R. Rowan, Atiye SarabiJamab, Nicholas S. Archer, Ben Chen, Elizabeth A. Di Valerio, Emma L. Feeney, Johannes Frasnelli, Mackenzie E. Hannum, Claire Hopkins, Hadar Klein, Coralie Mignot, Carla Mucignat, Yuping Ning, Elif E. Ozturk, Mei Peng, Ozlem Saatci, Elizabeth A. Sell, Carol H. Yan, Raul Alfaro, Cinzia Cecchetto, Gérard Coureaud, Riley D. Herriman, Jeb M. Justice, Pavan Kumar Kaushik, Sachiko Koyama, Jonathan B. Overdevest, Nicola Pirastu, Vicente A. Ramirez, S. Craig Roberts, Barry C. Smith, Hongyuan Cao, Hong Wang, Patrick Balungwe Birindwa, Marius Baguma, Karl-Franzens-Universität [Graz, Autriche], Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, The Pennsylvania State University, University of Tennessee, University of Buenos Aires [Argentina], Università degli studi di Bari Aldo Moro (UNIBA), Goethe University of Frankfurt am Main, Wageningen University and Research [Wageningen] (WUR), Radboud university [Nijmegen], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), A.N. Severtsov Institute of Ecology and Evolution RAS, 119071, Russia., RespiraLibre - Centro de Otorrinolaringología, Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Florence, Partenaires INRAE, Universidad de Chile = University of Chile [Santiago] (UCHILE), Federal University of Technology of Akure (FUTA), Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Dayton, Iran University of Medical Sciences, University of Naples Federico II, University of Verona (UNIVR), Head and Neck Surgery, Hospital of Xi'an Jiaotong University, Institute of Agrifood Research and Technology (IRTA), University of Alaska [Fairbanks] (UAF), Hadassah Hebrew University Medical Center [Jerusalem], University of Southern Queensland (USQ), University of Massachusetts, Instituto Universitario del Hospital Italiano [Buenos Aires, Argentina], Johns Hopkins University School of Medicine [Baltimore], Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), The First Affiliated Hospital of Guangzhou Medical University (GMU), University College Dublin [Dublin] (UCD), Université du Québec à Trois-Rivières (UQTR), Guy's and St Thomas' Hospitals, University of Padova [Padova, Italy], Kilis Yedi Aralik University, University of Otago [Dunedin, Nouvelle-Zélande], Sancaktepe Education and Research Hospital, Hospital of the University of Pennsylvania (HUP), Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia], UC San Diego Health, University ofFlorida, Tata Institute of Fundamental Research, Indiana University [Bloomington], Indiana University System, Columbia University Irving Medical Center (CUIMC), University of Edinburgh, University of California [Merced], University of Stirling, University of London [London], Florida State University [Panama City], Université catholique de Bukavu, Leibniz-Institute for Food Systems Biology at the Technical University of Munich, Karunya Institute of Technology and Sciences, Sidra Medicine, School of Exercise and Nutritional Sciences, Howard University College of Medicine, Geneva University Hospitals, Geneva University , Geneva , Switzerland., CHU Genève, General Hospital Papageorgiou, University of Toulouse, University of Padova, Lyon Neuroscience Research center, IBM T.J. Watson Research Center, Navarrabiomed-IdiSNA, Temple University, Julien, Sabine, Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Universitad de Buenos Aires = University of Buenos Aires [Argentina], Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), University of California [Irvine] (UC Irvine), University of California (UC), Karl-Franzens-Universität Graz, Universidad de Extremadura - University of Extremadura (UEX), Radboud University [Nijmegen], Università degli Studi di Firenze = University of Florence (UniFI), University of Naples Federico II = Università degli studi di Napoli Federico II, Università degli studi di Verona = University of Verona (UNIVR), Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA), Università degli Studi di Padova = University of Padua (Unipd), University of Pennsylvania-University of Pennsylvania, School of Medicine [Univ California San Diego] (UC San Diego), University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), University of California (UC)-University of California (UC), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Tata Institute of Fundamental Research [Bangalore], University of California [Merced] (UC Merced), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Sidra Medicine [Doha, Qatar], Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria), and Universitá degli Studi dell’Insubria

Subjects
Adult, Male, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Cross-sectional study, Visual analogue scale, Anosmia, Audiology, Logistic regression, AcademicSubjects/SCI01180, Article, Odds, 03 medical and health sciences, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Hyposmia, Humans, Medicine, [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs, 030223 otorhinolaryngology, SARS-CoV-2, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, COVID-19, Middle Aged, Prognosis, Smell, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, Cross-Sectional Studies, [SDV.MHEP.OS] Life Sciences [q-bio]/Human health and pathology/Sensory Organs, Smell loss, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Female, Original Article, Self Report, medicine.symptom, business, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, 030217 neurology & neurosurgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

BackgroundCOVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19.MethodsThis preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery.ResultsBoth C19+ and C19-groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ∼50% of participants and was best predicted by time since illness onset.ConclusionsAs smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4

Published
2020

10. More than smell - COVID-19 is associated with severe impairment of smell, taste, and chemesthesis

Author

Parma, Valentina, Ohla, Kathrin, Veldhuizen, Maria G, Niv, Masha Y, Kelly, Christine E, Bakke, Alyssa J, Cooper, Keiland W, Bouysset, Cédric, Pirastu, Nicola, Dibattista, Michele, Kaur, Rishemjit, Liuzza, Marco Tullio, Pepino, Marta Y, Schöpf, Veronika, and Roberts, S Craig

Abstract

Recent anecdotal and scientific reports have provided evidence of a link between COVID-19 and chemosensory impairments such as anosmia. However, these reports have downplayed or failed to distinguish potential effects on taste, ignored chemesthesis, generally lacked quantitative measurements, were mostly restricted to data from single countries. Here, we report the development, implementation and initial results of a multi-lingual, international questionnaire to assess self-reported quantity and quality of perception in three distinct chemosensory modalities (smell, taste, and chemesthesis) before and during COVID-19. In the first 11 days after questionnaire launch, 4039 participants (2913 women, 1118 men, 8 other, ages 19-79) reported a COVID-19 diagnosis either via laboratory tests or clinical assessment. Importantly, smell, taste and chemesthetic function were each significantly reduced compared to their status before the disease. Difference scores (maximum possible change+/-100) revealed a mean reduction of smell (-79.7+/- 28.7, mean+/- SD), taste (-69.0+/- 32.6), and chemesthetic (-37.3+/- 36.2) function during COVID-19. Qualitative changes in olfactory ability (parosmia and phantosmia) were relatively rare and correlated with smell loss. Importantly, perceived nasal obstruction did not account for smell loss. Furthermore, chemosensory impairments were similar between participants in the laboratory test and clinical assessment groups. These results show that COVID-19-associated chemosensory impairment is not limited to smell, but also affects taste and chemesthesis. The multimodal impact of COVID-19 and lack of perceived nasal obstruction suggest that SARS-CoV-2 infection may disrupt sensory-neural mechanisms.

Published
2020

11. Recent smell loss is the best predictor of COVID-19:a preregistered, cross-sectional study

Author

Gerkin, Richard C, Ohla, Kathrin, Veldhuizen, Maria Geraldine, Joseph, Paule V, Kelly, Christine E, Bakke, Alyssa J, Steele, Kimberley E, Farruggia, Michael C, Pellegrino, Robert, Pepino, Marta Y, Bouysset, Cédric, Soler, Graciela M, Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland W, Croijmans, Ilja, Di Pizio, Antonella, Ozdener, M Hakan, Fjaeldstad, Alexander W, Lin, Cailu, Sandell, Mari A, Singh, Preet B, Brindha, V Evelyn, Olsson, Shannon B, Saraiva, Luis R, Ahuja, Gaurav, Alwashahi, Mohammed K, Bhutani, Surabhi, D'Errico, Anna, Fornazieri, Marco A, Golebiowski, Jérôme, Hwang, Liang-Dar, Öztürk, Lina, Roura, Eugeni, Spinelli, Sara, Whitcroft, Katherine L, Faraji, Farhoud, Fischmeister, Florian Ph S, Heinbockel, Thomas, Hsieh, Julien W, Huart, Caroline, Konstantinidis, Iordanis, Menini, Anna, Morini, Gabriella, Olofsson, Jonas K, Philpott, Carl M, Pierron, Denis, Shields, Vonnie D C, Voznessenskaya, Vera V, and Albayay, Javier

Subjects
COVID-19, Lugtesans
Abstract

BACKGROUND: COVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19.METHODS: This preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery.RESULTS: Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing no significant model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ~50% of participants and was best predicted by time since illness onset.CONCLUSIONS: As smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (10

Published
2020

12. Molecular insights into the structure-function relationships of bitter taste receptors

Author

Bouysset, Cédric, Topin, Jérémie, Wang, Yi, Jiang, Peihua, Golebiowski, Jerôme, Antonczak, Serge, Fiorucci, Sébastien, Institut de Chimie de Nice (ICN), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), and Monell Chemical Senses Center

Subjects
[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, [SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, [CHIM]Chemical Sciences, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], ComputingMilieux_MISCELLANEOUS, [CHIM.CHEM]Chemical Sciences/Cheminformatics
Abstract

International audience

Published
2020

13. Recent smell loss is the best predictor of COVID-19: a preregistered, cross-sectional study

Author

Parma, Valentina, Overdevest, Jonathan B, Peng, Mei, Saatci, Ozlem, Sell, Elizabeth A, Yan, Carol H, Alfaro, Raul, Cecchetto, Cinzia, Coureaud, Gérard, Herriman, Riley D, Justice, Jeb M, Kaushik, Pavan Kumar, Koyama, Sachiko, Pirastu, Nicola, Ning, Yuping, Ramirez, Vicente A, Roberts, S Craig, Smith, Barry C, Cao, Hongyuan, Wang, Hong, Balungwe, Patrick, Baguma, Marius, Hummel, Thomas, Hayes, John E, Reed, Danielle R, Niv, Masha Y, Munger, Steven D, Ozturk, Elif E, Gerkin, Richard C, Ohla, Kathrin, Veldhuizen, Maria Geraldine, Joseph, Paule V, Kelly, Christine E, Bakke, Alyssa J, Steele, Kimberley E, Farruggia, Michael C, Pellegrino, Robert, Pepino, Marta Y, Bouysset, Cédric, Soler, Graciela M, Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland W, Croijmans, Ilja, Di Pizio, Antonella, Ozdener, M Hakan, Fjaeldstad, Alexander W, Lin, Cailu, Sandell, Mari A, Singh, Preet B, Brindha, V Evelyn, Olsson, Shannon B, Saraiva, Luis R, Ahuja, Gaurav, Alwashahi, Mohammed K, Bhutani, Surabhi, D'Errico, Anna, Fornazieri, Marco A, Golebiowski, Jérôme, Hwang, Liang-Dar, Öztürk, Lina, Roura, Eugeni, Spinelli, Sara, Whitcroft, Katherine L, Faraji, Farhoud, Fischmeister, Florian Ph S, Heinbockel, Thomas, Hsieh, Julien W, Huart, Caroline, Konstantinidis, Iordanis, Menini, Anna, Morini, Gabriella, Olofsson, Jonas K, Philpott, Carl M, Pierron, Denis, Shields, Vonnie D C, Voznessenskaya, Vera V, Albayay, Javier, Altundag, Aytug, Bensafi, Moustafa, Bock, María Adelaida, Calcinoni, Orietta, Fredborg, William, Laudamiel, Christophe, Lim, Juyun, Lundström, Johan N, Macchi, Alberto, Meyer, Pablo, Moein, Shima T, Santamaría, Enrique, Sengupta, Debarka, Domínguez, Paloma Paloma, Yanık, Hüseyin, Boesveldt, Sanne, de Groot, Jasper H B, Dinnella, Caterina, Freiherr, Jessica, Laktionova, Tatiana, Mariño, Sajidxa, Monteleone, Erminio, Nunez-Parra, Alexia, Abdulrahman, Olagunju, Ritchie, Marina, Thomas-Danguin, Thierry, Walsh-Messinger, Julie, Al Abri, Rashid, Alizadeh, Rafieh, Bignon, Emmanuelle, Cantone, Elena, Cecchini, Maria Paola, Chen, Jingguo, Guàrdia, Maria Dolors, Hoover, Kara C, Karni, Noam, Navarro, Marta, Nolden, Alissa A, Mazal, Patricia Portillo, Rowan, Nicholas R, Sarabi-Jamab, Atiye, Archer, Nicholas S, Chen, Ben, Di Valerio, Elizabeth A, Feeney, Emma L, Frasnelli, Johannes, Hannum, Mackenzie, Hopkins, Claire, Klein, Hadar, Mignot, Coralie, Mucignat, Carla, UCL - (SLuc) Service d'oto-rhino-laryngologie, and UCL - SSS/IONS/NEUR - Clinical Neuroscience

Abstract

COVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19. This preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing no significant model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ~50% of participants and was best predicted by time since illness onset. As smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (10

Published
2020

14. Reverse chemical ecology expands the list of ligands for a crop pest insect odorant receptor

Author

Caballero-Vidal, Gabriela, Bouysset, Cédric, Fiorucci, Sébastien, Montagné, Nicolas, Golebiowski, Jerôme, Jacquin-Joly, Emmanuelle, Institut d'Ecologie et des Sciences de l'Environnement de Paris, Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Recherche pour le Développement (IRD [France-Ouest])-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut de Chimie de Nice (ICN), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), FIORUCCI, Sébastien, and Université Nice Sophia Antipolis (1965 - 2019) (UNS)

Subjects
[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, [SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, [CHIM] Chemical Sciences, [CHIM.CHEM] Chemical Sciences/Cheminformatics, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, [SDV.BBM.BP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, [CHIM]Chemical Sciences, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, ComputingMilieux_MISCELLANEOUS, [CHIM.CHEM]Chemical Sciences/Cheminformatics
Abstract

International audience

Published
2019

15. Exploring the odor space of Spodoptera littoralis larvae

Author

Caballero-Vidal, Gabriela, Bouysset, Cédric, Fiorucci, Sébastien, Golebiowski, Jerôme, Meslin, Camille, Monsempes, Christelle, François, M.C., Montagné, Nicolas, Jacquin-Joly, Emmanuelle, Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris), Institut National de la Recherche Agronomique (INRA)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Institut de Chimie de Nice (ICN), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Physiologie de la reproduction et des comportements [Nouzilly] (PRC), Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours-Centre National de la Recherche Scientifique (CNRS), Institut d'écologie et des sciences de l'environnement de Paris (iEES), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris ), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut d'Ecologie et des Sciences de l'Environnement de Paris, Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Recherche pour le Développement (IRD [France-Ouest])-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur]-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), FIORUCCI, Sébastien, Université Nice Sophia Antipolis (1965 - 2019) (UNS), Institut National de la Recherche Agronomique (INRA)-Institut Français du Cheval et de l'Equitation [Saumur] (IFCE)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), and Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, [SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, [CHIM] Chemical Sciences, [CHIM.CHEM] Chemical Sciences/Cheminformatics, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, [SDV.BBM.BP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, [CHIM]Chemical Sciences, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], ComputingMilieux_MISCELLANEOUS, [CHIM.CHEM]Chemical Sciences/Cheminformatics, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
Abstract

International audience

Published
2019

16. Modèle numérique des relations structure-saveur

Author

Bouysset, Cédric, Antonczak, Serge, Fiorucci, Sébastien, Institut de Chimie de Nice (ICN), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), GGMM, and FIORUCCI, Sébastien

Subjects
[SDV.BBM.BP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry, [SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biophysics, [CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistry, [CHIM] Chemical Sciences, [CHIM.CHEM] Chemical Sciences/Cheminformatics, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, [CHIM]Chemical Sciences, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], ComputingMilieux_MISCELLANEOUS, [CHIM.CHEM]Chemical Sciences/Cheminformatics, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
Abstract

International audience

Published
2019

18. Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms.

Author

Gerkin, Richard C, Ohla, Kathrin, Veldhuizen, Maria G, Joseph, Paule V, Kelly, Christine E, Bakke, Alyssa J, Steele, Kimberley E, Farruggia, Michael C, Pellegrino, Robert, Pepino, Marta Y, Bouysset, Cédric, Soler, Graciela M, Pereda-Loth, Veronica, Dibattista, Michele, Cooper, Keiland W, Croijmans, Ilja, Pizio, Antonella Di, Ozdener, Mehmet Hakan, Fjaeldstad, Alexander W, and Lin, Cailu

Abstract

In a preregistered, cross-sectional study, we investigated whether olfactory loss is a reliable predictor of COVID-19 using a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0–100 visual analog scales (VAS) for participants reporting a positive (C19+; n = 4148) or negative (C19−; n = 546) COVID-19 laboratory test outcome. Logistic regression models identified univariate and multivariate predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19− groups exhibited smell loss, but it was significantly larger in C19+ participants (mean ± SD, C19+: −82.5 ± 27.2 points; C19−: −59.8 ± 37.7). Smell loss during illness was the best predictor of COVID-19 in both univariate and multivariate models (ROC AUC = 0.72). Additional variables provide negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms (e.g. fever). Olfactory recovery within 40 days of respiratory symptom onset was reported for ~50% of participants and was best predicted by time since respiratory symptom onset. We find that quantified smell loss is the best predictor of COVID-19 amongst those with symptoms of respiratory illness. To aid clinicians and contact tracers in identifying individuals with a high likelihood of having COVID-19, we propose a novel 0–10 scale to screen for recent olfactory loss, the ODoR-19. We find that numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4 < OR < 10). Once independently validated, this tool could be deployed when viral lab tests are impractical or unavailable. [ABSTRACT FROM AUTHOR]

Published
2021
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19. Metal Ions Activate the Human Taste Receptor TAS2R7.

Author

Wang, Yi, Zajac, Amanda L, Lei, Weiwei, Christensen, Carol M, Margolskee, Robert F, Bouysset, Cédric, Golebiowski, Jérôme, Zhao, Huabin, Fiorucci, Sébastien, and Jiang, Peihua

Abstract

Divalent and trivalent salts exhibit a complex taste profile. They are perceived as being astringent/drying, sour, bitter, and metallic. We hypothesized that human bitter-taste receptors may mediate some taste attributes of these salts. Using a cell-based functional assay, we found that TAS2R7 responds to a broad range of divalent and trivalent salts, including zinc, calcium, magnesium, copper, manganese, and aluminum, but not to potassium, suggesting TAS2R7 may act as a metal cation receptor mediating bitterness of divalent and trivalent salts. Molecular modeling and mutagenesis analysis identified 2 residues, H943.37 and E2647.32, in TAS2R7 that appear to be responsible for the interaction of TAS2R7 with metallic ions. Taste receptors are found in both oral and extraoral tissues. The responsiveness of TAS2R7 to various mineral salts suggests it may act as a broad sensor, similar to the calcium-sensing receptor, for biologically relevant metal cations in both oral and extraoral tissues. [ABSTRACT FROM AUTHOR]

Published
2019
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20. Corrigendum to: More Than Smell—COVID-19 Is Associated With Severe Impairment of Smell, Taste, and Chemesthesis.

Author

Parma, Valentina, Ohla, Kathrin, Veldhuizen, Maria G, Niv, Masha Y, Kelly, Christine E, Bakke, Alyssa J, Cooper, Keiland W, Bouysset, Cédric, Pirastu, Nicola, Dibattista, Michele, Kaur, Rishemjit, Liuzza, Marco Tullio, Pepino, Marta Y, Schöpf, Veronika, Pereda-Loth, Veronica, Olsson, Shannon B, Gerkin, Richard C, Domínguez, Paloma Rohlfs, Albayay, Javier, and Farruggia, Michael C

Abstract

Participants in cluster 2 (orange,N= 1724; bottom center) are generally characterized by ratings that reflect smell/taste loss with preserved chemesthesis. Based on the centroid of each cluster, participants in cluster 1 (blue,N= 1767; top left) are generally characterized by significant smell, taste and chemesthesis loss. Loadings for participants in cluster 3 (green,N= 548; right side) are generally characterized by reduced smell and taste loss, and preserved chemesthesis. [Extracted from the article]

Published
2021
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21. Novel scaffold of natural compound eliciting sweet taste revealed by machine learning.

Author

Bouysset, Cédric, Belloir, Christine, Antonczak, Serge, Briand, Loïc, and Fiorucci, Sébastien

Subjects
*MACHINE learning, *TASTE receptors, *SWEETNESS (Taste), *TASTE, *FOOD industry
Abstract

• Identification of a new sweetener scaffold belonging to the lignan chemical family. • Update and curation of the SweetenersDB dataset. • Setup of a machine learning model for the prediction of sweetness. • Implementation of Predisweet, a webserver based on the machine learning model. Sugar replacement is still an active issue in the food industry. The use of structure-taste relationships remains one of the most rational strategy to expand the chemical space associated to sweet taste. A new machine learning model has been setup based on an update of the SweetenersDB and on open-source molecular features. It has been implemented on a freely accessible webserver. Cellular functional assays show that the sweet taste receptor is activated in vitro by a new scaffold of natural compounds identified by the in silico protocol. The newly identified sweetener belongs to the lignan chemical family and opens a new chemical space to explore. [ABSTRACT FROM AUTHOR]

Published
2020
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22. The best COVID-19 predictor is recent smell loss: a cross-sectional study.

Author

Gerkin RC, Ohla K, Veldhuizen MG, Joseph PV, Kelly CE, Bakke AJ, Steele KE, Farruggia MC, Pellegrino R, Pepino MY, Bouysset C, Soler GM, Pereda-Loth V, Dibattista M, Cooper KW, Croijmans I, Di Pizio A, Ozdener MH, Fjaeldstad AW, Lin C, Sandell MA, Singh PB, Brindha VE, Olsson SB, Saraiva LR, Ahuja G, Alwashahi MK, Bhutani S, D'Errico A, Fornazieri MA, Golebiowski J, Hwang LD, Öztürk L, Roura E, Spinelli S, Whitcroft KL, Faraji F, Fischmeister FPS, Heinbockel T, Hsieh JW, Huart C, Konstantinidis I, Menini A, Morini G, Olofsson JK, Philpott CM, Pierron D, Shields VDC, Voznessenskaya VV, Albayay J, Altundag A, Bensafi M, Bock MA, Calcinoni O, Fredborg W, Laudamiel C, Lim J, Lundström JN, Macchi A, Meyer P, Moein ST, Santamaría E, Sengupta D, Domínguez PP, Yanık H, Boesveldt S, de Groot JHB, Dinnella C, Freiherr J, Laktionova T, Mariño S, Monteleone E, Nunez-Parra A, Abdulrahman O, Ritchie M, Thomas-Danguin T, Walsh-Messinger J, Al Abri R, Alizadeh R, Bignon E, Cantone E, Cecchini MP, Chen J, Guàrdia MD, Hoover KC, Karni N, Navarro M, Nolden AA, Mazal PP, Rowan NR, Sarabi-Jamab A, Archer NS, Chen B, Di Valerio EA, Feeney EL, Frasnelli J, Hannum M, Hopkins C, Klein H, Mignot C, Mucignat C, Ning Y, Ozturk EE, Peng M, Saatci O, Sell EA, Yan CH, Alfaro R, Cecchetto C, Coureaud G, Herriman RD, Justice JM, Kaushik PK, Koyama S, Overdevest JB, Pirastu N, Ramirez VA, Roberts SC, Smith BC, Cao H, Wang H, Balungwe P, Baguma M, Hummel T, Hayes JE, Reed DR, Niv MY, Munger SD, and Parma V

Abstract

Background: COVID-19 has heterogeneous manifestations, though one of the most common symptoms is a sudden loss of smell (anosmia or hyposmia). We investigated whether olfactory loss is a reliable predictor of COVID-19., Methods: This preregistered, cross-sectional study used a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n=4148) or negative (C19-; n=546) COVID-19 laboratory test outcome. Logistic regression models identified singular and cumulative predictors of COVID-19 status and post-COVID-19 olfactory recovery., Results: Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean±SD, C19+: -82.5±27.2 points; C19-: -59.8±37.7). Smell loss during illness was the best predictor of COVID-19 in both single and cumulative feature models (ROC AUC=0.72), with additional features providing no significant model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms, such as fever or cough. Olfactory recovery within 40 days was reported for ~50% of participants and was best predicted by time since illness onset., Conclusions: As smell loss is the best predictor of COVID-19, we developed the ODoR-19 tool, a 0-10 scale to screen for recent olfactory loss. Numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (10

Published
2020
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