TEAM V.Blasco-Baque
InCOMM: Oral microbiota – risk factor for the cardio-metabolic phenotype
Our team focuses on translational clinical research to understand the molecular mechanisms by which the human oral and intestinal microbiota regulate cardiometabolic diseases in humans.
TEAM
Vincent BLASCO-BAQUE
Rémy BURCELIN
Christophe HEYMES
Vincent AZALBERT
Pascale LOUBIERES
Matthieu MINTY
Charlotte THOMAS
Jiuwen SUN
Pierre Brinas
Maxime LUIS
Geraud Tuyeras
Swann DIEMER
Alison PROSPER
Matthieu MARTY
Laura PASCALIN
Pierre JEHLE
Emma STURARO
Jacques AMAR
ORAL MICROBIOTA, MICROBIAL DYSBIOSIS AND CARDIOMETABOLIC DISEASES: BUILDING COHORTS AND MULTI-OMICS BIOBANKS (WP1)
Coordinators : V. Blasco-Baque, F. Diemer, J. Amar, B Marcheix, M. Gurgel-Georgelin, C. Thomas, M. Marty, G. Tuyeras
Since 2023, the InCOMM team, coordinated by Vincent Blasco-Baque, has been developing a translational clinical approach to explore the role of oral microbiota in cardiometabolic diseases. Our current priority is the structuring of multicenter human cohorts (already 14 cohorts and over 1700 patients included), in collaboration with academic and hospital institutions, to identify the diversity of cardiometabolic phenotypes.
These cohorts are enriched by rigorous collection of biological samples (adipose tissue, heart valves, gingival tissue, granulomas, saliva), under strict ethical protocols. We are developing tissue and bacterial biobanks, as well as libraries of oral strains. All the data generated feeds a multi-omics database integrating clinical, immunological, transcriptomic, metabolomic and metagenomic dimensions – thus structuring the ClinicOmics, TissuOmics and SalivOmics modules.
FROM CARDIO-METABOLIC PHENOTYPE TO PREDICTION: MATHEMATICAL INTEGRATION OF DATA TO GENERATE MOLECULAR HYPOTHESES (WP2)
Coordinators : R. Burcelin, T. Canceill
To decipher the mechanisms by which the microbiota influences the host-microbiota relationship, we are developing an advanced bioinformatics platform based on machine learning and probabilistic modeling algorithms. These tools enable us to analyze the multiscale matrices from our cohorts and identify molecular signatures linking oral bacterial ecologies, immune cells and metabolic functions.
We are building an interactive interface coupled to a unified, interoperable database, enabling real-time exploration of hypotheses, thanks to the integration of contextualized biological vectors (biological knowledge graphs, experimental data). In collaboration with mathematical institutes in Toulouse and Paris, as well as industrial partners (such as Abbia), we are prioritizing testable hypotheses that will guide experiments in WP3. This fusion of biology, applied mathematics and artificial intelligence is a highly original feature of our team.
MODELING FOR UNDERSTANDING: EXPERIMENTAL VALIDATION OF HYPOTHESES IN GNOTOBIOTIC AND ORGANOID MODELS (WP3)
Coordinators : M. Minty, C. Heymes
WP3 aims to experimentally validate the hypotheses derived from WP2 via innovative in vitro and in vivo models.
We are also developing humanized gnotobiotic mouse models, reproducing the diversity of oral microbiota identified in our cohorts. These models enable us to test the causal impact of certain pathogenic strains on the host’s metabolic and immune parameters, and to evaluate targeted interventions (pre/probiotics or bacterial inhibition).
Thanks to this rigorous experimental approach, based on modeled hypotheses and human data, we aim to gain a better understanding of the molecular mechanisms at the microbiota-tissue interface, and to propose personalized therapeutic solutions for cardiometabolic diseases.
publications RECENTES
Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss. Minty M, Germain A, Sun J, Kaglan G, Servant F, Lelouvier B, Misselis E, Neagoe RM, Rossella M, Cardellini M, Burcelin R, Federici M, Fernandez-Real JM, Blasco-Baque V. Gut Microbes. 2025 Dec;17(1):2439105. PMID: 397140751. Pubmed
Molecular phenomics and metagenomics of hepatic steatosis in non-diabetic obese women. Hoyles, L., J. M. Fernandez-Real, M. Federici, M. Serino, J. Abbott, J. Charpentier, C. Heymes, J. L. Luque, E. Anthony, R. H. Barton, J. Chilloux, A. Myridakis, L. Martinez-Gili, J. M. Moreno-Navarrete, F. Benhamed, V. Azalbert, V. Blasco-Baque, J. Puig, G. Xifra, W. Ricart, C. Tomlinson, M. Woodbridge, M. Cardellini, F. Davato, I. Cardolini, O. Porzio, P. Gentileschi, F. Lopez, F. Foufelle, S. A. Butcher, E. Holmes, J. K. Nicholson, C. Postic, R. Burcelin and M. E. Dumas. Nat Med. 2018. Pubmed
Periodontis induced by Porphyromonas gingivalis drives periodontal microbiota dysbiosis and insulin resistance via an impaired adaptative immune response. Blasco-Baque V, Garidou L, Pomié C, Escoula Q, Loubieres P, Le Gall-David S, Lemaitre M, Nicolas S, Klopp P, Waget A, Azalbert V, Colom A, Bonnaure-Mallet M, Kemoun P, Serino M, Burcelin R.
Gut. 2017 May;66(5):872-885. Pubmed
Low-Diversity Microbiota in Apical Periodontitis and High Blood Pressure Are Signatures of the Severity of Apical Lesions in Humans. Minty M, Lê S, Canceill T, Thomas C, Azalbert V, Loubieres P, Sun J, Sillam J, Terce F, Servant F, Roulet A, Ribiere C, Ardouin M, Mallet JP, Burcelin R, Diemer F, Georgelin-Gurgel M, Blasco-Baque V.
Int J Mol Sci. 2023 Jan 13;24(2):1589. Pubmed
Obesity Is Associated with the Severity of Periodontal Inflammation Due to a Specific Signature of Subgingival Microbiota. Lê S, Laurencin-Dalicieux S, Minty M, Assoulant-Anduze J, Vinel A, Yanat N, Loubieres P, Azalbert V, Diemer S, Burcelin R, Canceill T, Thomas C, Blasco-Baque V.
Int J Mol Sci. 2023 Oct 12;24(20):15123. Pubmed
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