Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss

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 <i>Porphyromonadaceae</i>, <i>Campylobacteraceae</i>, <i>Prevotellaceae</i>, <i>Actimomycetaceae</i>, <i>Veillonellaceae</i>, <i>Anaerivoracaceae</i>, <i>Fusobacteriaceae</i>, and the <i>Clostridium family XI</i> 16SrRNA DNA segment profiles are signatures of the subcutaneous adipose depot while <i>Pseudomonadaceae</i> and <i>Micrococcacecae</i>, 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.

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Publication Details

Journal
Gut Microbes
Published
2024-12-23
DOI
https://doi.org/10.1080/19490976.2024.2439105
Citations
2
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.47

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article

Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss

Gracia Kaglan, Jiuwen Sun, Radu Mircea Neagoe, Massimo Federici et al.
2 citations
Gut Microbes
Gut microbiota and health
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article

Identifying the location-dependent adipose tissue bacterial DNA signatures in obese patients that predict body weight loss

Gracia Kaglan, Jiuwen Sun, Radu Mircea Neagoe, Massimo Federici, Rémy Burcelin, Vincent Blasco‐Baqué, Alberic Germain, Benjamin Lelouvier, Matthieu Minty, Florence Servant, José Manuel Fernandez-Real, Marina Cardellini, Emiri Misselis, Menghini Rossella
article en
2 citations

Abstract

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 <i>Porphyromonadaceae</i>, <i>Campylobacteraceae</i>, <i>Prevotellaceae</i>, <i>Actimomycetaceae</i>, <i>Veillonellaceae</i>, <i>Anaerivoracaceae</i>, <i>Fusobacteriaceae</i>, and the <i>Clostridium family XI</i> 16SrRNA DNA segment profiles are signatures of the subcutaneous adipose depot while <i>Pseudomonadaceae</i> and <i>Micrococcacecae</i>, 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.

Gut MicrobesVol. 17(1)
University of Rome Tor Vergata (IT), Université Toulouse III - Paul Sabatier (FR), Inserm (FR), Hai phong University Of Medicine and Pharmacy (VN), Universitatea de Medicină, Farmacie, Științe și Tehnologie „George Emil Palade” din Târgu Mureș (RO), Physiogenex (France) (FR), Institut d'Investigació Biomèdica de Girona (ES), Centro de Investigación Biomédica en Red (ES), Institut des Maladies Métaboliques et Cardiovasculaires (FR)
European Foundation for the Study of Diabetes, Agence Nationale de la Recherche, Société Francophone du Diabète, Région Occitanie Pyrénées-Méditerranée
Zero hunger
Openalex Percentile: Top 33%
Gut microbiota and health
0.47
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