Dominique Gauguier

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Dominique Gauguier

Adjunct Professor, Department of Human Genetics
Director of Research, INSERM, Paris, France

Email: dominique.gauguier@inserm.fr

Dominique Gauguier is Adjunct Professor at the Department of Human Genetics and based at the McGill Genome Centre. He was trained at the University Pierre & Marie Curie and the University Denis Diderot in Paris, France, where I received a PhD in human nutrition in 1991. He did his postdoctoral research with Prof Mark Lathrop initially at the INSERM in Paris, France, and, from 1994, at the Wellcome Trust Centre for Human Genetics at the University of Oxford, UK. He was appointed as Oxford University Lecturer (2001), Reader in Mammalian Genetics (2004) and Professor of mammalian genetics (2006). His research at the University of Oxford was supported by two successive highly competitive Wellcome Trust Senior Fellowships between 1999 and 2010. He remains Honorary Research Fellow in Mammalian Genetics at The Wellcome Trust Centre for Human Genetics in Oxford. He is visiting Professor at Imperial College London (UK) and at the Center for Genomic Medicine, at the University of Kyoto (Japan). He currently holds a tenured position of Director of Research at the INSERM in Paris, France, where he leads the research team entitled “Genetic Epidemiology and Functional Genomics of Multifactorial Diseases” at the INSERM UMR 1124 (Environmental Toxicity, Therapeutic Targets, Cellular Signaling and Biomarkers; Prof Robert Barouki, Director)

Research Interests

Gauguier’s research deals with etiological aspects of multifactorial diseases, with a specific focus on risk factors in cardiometabolic diseases. His projects apply in vivo physiology and integrated genomic strategies in model systems to understand the impact of genetic and epigenetic regulations, as well as that of architectural and functional changes in the gut microbiota, on endophenotypes relevant to type 2 diabetes and obesity and recovery from these disease following bariatric surgery. High density data generation metabolomic technologies based on Nuclear Magnetic Resonance (NMR) spectroscopy and mass spectrometry are used as molecular phenotyping tools in rodent genetic models and in human genome wide association studies to identify biomarkers underlying susceptibility and resistance to multifactorial diseases, including metabolites processed by the gut microbiota. 

Recent Publications

  • Nuzzo, A, Guedj, K, Curac, S, Hercend, C, Bendavid, C, Gault, N et al.. Accuracy of citrulline, I-FABP and D-lactate in the diagnosis of acute mesenteric ischemia. Sci Rep. 2021;11 (1):18929. doi: 10.1038/s41598-021-98012-w. PubMed PMID:34556697 PubMed Central PMC8460675.
  • Brial, F, Chilloux, J, Nielsen, T, Vieira-Silva, S, Falony, G, Andrikopoulos, P et al.. Human and preclinical studies of the host-gut microbiome co-metabolite hippurate as a marker and mediator of metabolic health. Gut. 2021;70 (11):2105-2114. doi: 10.1136/gutjnl-2020-323314. PubMed PMID:33975870 .
  • Al Hageh, C, Rahy, R, Khazen, G, Brial, F, Khnayzer, RS, Gauguier, D et al.. Plasma and urine metabolomic analyses in aortic valve stenosis reveal shared and biofluid-specific changes in metabolite levels. PLoS One. 2020;15 (11):e0242019. doi: 10.1371/journal.pone.0242019. PubMed PMID:33237940 PubMed Central PMC7688110.
  • Péan, N, Le Lay, A, Brial, F, Wasserscheid, J, Rouch, C, Vincent, M et al.. Dominant gut Prevotella copri in gastrectomised non-obese diabetic Goto-Kakizaki rats improves glucose homeostasis through enhanced FXR signalling. Diabetologia. 2020;63 (6):1223-1235. doi: 10.1007/s00125-020-05122-7. PubMed PMID:32173762 PubMed Central PMC7228998.
  • Brial, F, Alzaid, F, Sonomura, K, Kamatani, Y, Meneyrol, K, Le Lay, A et al.. The Natural Metabolite 4-Cresol Improves Glucose Homeostasis and Enhances β-Cell Function. Cell Rep. 2020;30 (7):2306-2320.e5. doi: 10.1016/j.celrep.2020.01.066. PubMed PMID:32075738 .
  • Otto, GW, Kaisaki, PJ, Brial, F, Le Lay, A, Cazier, JB, Mott, R et al.. Conserved properties of genetic architecture of renal and fat transcriptomes in rat models of insulin resistance. Dis Model Mech. 2019;12 (7):. doi: 10.1242/dmm.038539. PubMed PMID:31213483 PubMed Central PMC6679378.
  • Brial, F, Le Lay, A, Hedjazi, L, Tsang, T, Fearnside, JF, Otto, GW et al.. Systems Genetics of Hepatic Metabolome Reveals Octopamine as a Target for Non-Alcoholic Fatty Liver Disease Treatment. Sci Rep. 2019;9 (1):3656. doi: 10.1038/s41598-019-40153-0. PubMed PMID:30842494 PubMed Central PMC6403227.
  • Zalloua, P, Kadar, H, Hariri, E, Abi Farraj, L, Brial, F, Hedjazi, L et al.. Untargeted Mass Spectrometry Lipidomics identifies correlation between serum sphingomyelins and plasma cholesterol. Lipids Health Dis. 2019;18 (1):38. doi: 10.1186/s12944-018-0948-5. PubMed PMID:30711004 PubMed Central PMC6359757.
  • Adlam, D, Olson, TM, Combaret, N, Kovacic, JC, Iismaa, SE, Al-Hussaini, A et al.. Association of the PHACTR1/EDN1 Genetic Locus With Spontaneous Coronary Artery Dissection. J Am Coll Cardiol. 2019;73 (1):58-66. doi: 10.1016/j.jacc.2018.09.085. PubMed PMID:30621952 .
  • Rodriguez-Martinez, A, Ayala, R, Posma, JM, Harvey, N, Jiménez, B, Sonomura, K et al.. pJRES Binning Algorithm (JBA): a new method to facilitate the recovery of metabolic information from pJRES 1H NMR spectra. Bioinformatics. 2019;35 (11):1916-1922. doi: 10.1093/bioinformatics/bty837. PubMed PMID:30351417 PubMed Central PMC6546129.
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