Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss
Matthieu Minty,
Alberic Germain,
Jiuwen Sun,
Gracia Kaglan,
Florence Servant,
Benjamin Lelouvier,
Emiri Misselis,
Radu Mircea Neagoe,
Menghini Rossella,
Marina Cardellini,
Rémy Burcelin,
Massimo Federici,
José Manuel Fernandez-Real,
Vincent Blasco-Baque
Affiliations
Matthieu Minty
Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France
Alberic Germain
Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France
Jiuwen Sun
Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France
Gracia Kaglan
Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France
Florence Servant
VAIOMER, Microbiome, Labège, France
Benjamin Lelouvier
VAIOMER, Microbiome, Labège, France
Emiri Misselis
Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France
Radu Mircea Neagoe
Science and Technology “George Emil Palade” Tîrgu Mures, Second Department of Surgery, Emergency Mureş County Hospital, University of Medicine Pharmacy, Târgu Mureș, Romania
Menghini Rossella
Department of Systems Medicine, University of Rome “Tor Vergata”, Rome, Italy
Marina Cardellini
Department of Systems Medicine, University of Rome “Tor Vergata”, Rome, Italy
Rémy Burcelin
Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France
Massimo Federici
Department of Systems Medicine, University of Rome “Tor Vergata”, Rome, Italy
José Manuel Fernandez-Real
Department of Diabetes, Endocrinology and Nutrition, University Hospital of Girona ‘Dr Josep Trueta’
Vincent Blasco-Baque
Institut National de la Santé et de la Recherche Médicale (INSERM), InCOMM Intestine ClinicOralOmics Metabolism & Microbiota UMR1297 Inserm / Université Toulouse III, Toulouse, France
Recent sets of evidence have described profiles of 16S rDNA sequences in host tissues, notably in fat pads that are significantly overrepresented and can serve as signatures of metabolic disease. However, these recent and original observations need to be further detailed and functionally defined. Here, using state-of-the-art targeted DNA sequencing and discriminant predictive approaches, we describe, from the longitudinal FLORINASH cohort of patients who underwent bariatric surgery, visceral, and subcutaneous fat pad-specific bacterial 16SrRNA signatures. The corresponding Porphyromonadaceae, Campylobacteraceae, Prevotellaceae, Actimomycetaceae, Veillonellaceae, Anaerivoracaceae, Fusobacteriaceae, and the Clostridium family XI 16SrRNA DNA segment profiles are signatures of the subcutaneous adipose depot while Pseudomonadaceae and Micrococcacecae, 16SrRNA DNA sequence profiles characterize the visceral adipose depot. In addition, we have further identified that a specific pre-bariatric surgery adipose tissue bacterial DNA signature predicts the efficacy of body weight loss in obese patients 5–10 years after the surgery. 16SrRNA signatures discriminate (ROC ~ 1) the patients who did not maintain bodyweight loss and those who did. Second, from the 16SrRNA sequences we infer potential pathways suggestive of catabolic biochemical activities that could be signatures of subcutaneous adipose depots that predict body weight loss.