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

Gut Microbes. 2025 Dec;17(1):2439105. doi: 10.1080/19490976.2024.2439105. Epub 2024 Dec 23.

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 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.

Keywords: Bariatric surgery; adipose fat pads; functional metagenomic; tissue microbiota.

MeSH terms

  • Adipose Tissue / metabolism
  • Adipose Tissue / microbiology
  • Adult
  • Bacteria* / classification
  • Bacteria* / genetics
  • Bacteria* / isolation & purification
  • Bacteria* / metabolism
  • Bariatric Surgery*
  • DNA, Bacterial* / genetics
  • Female
  • Humans
  • Longitudinal Studies
  • Male
  • Middle Aged
  • Obesity* / genetics
  • Obesity* / metabolism
  • Obesity* / microbiology
  • RNA, Ribosomal, 16S* / genetics
  • Weight Loss*

Substances

  • DNA, Bacterial
  • RNA, Ribosomal, 16S