Gut Microbiota Profile and Changes in Body Weight in Elderly Subjects with Overweight/Obesity and Metabolic Syndrome

Gut microbiota is essential for the development of obesity and related comorbidities. However, studies describing the association between specific bacteria and obesity or weight loss reported discordant results. The present observational study, conducted within the frame of the PREDIMED-Plus clinical trial, aims to assess the association between fecal microbiota, body composition and weight loss, in response to a 12-month lifestyle intervention in a subsample of 372 individuals (age 55-75) with overweight/obesity and metabolic syndrome. Participants were stratified by tertiles of baseline body mass index (BMI) and changes in body weight after 12-month intervention. General assessments, anthropometry and biochemical measurements, and stool samples were collected. 16S amplicon sequencing was performed on bacterial DNA extracted from stool samples and microbiota analyzed. Differential abundance analysis showed an enrichment of Prevotella 9, Lachnospiraceae UCG-001 and Bacteroides, associated with a higher weight loss after 12-month of follow-up, whereas in the cross-sectional analysis, Prevotella 2 and Bacteroides were enriched in the lowest tertile of baseline BMI. Our findings suggest that fecal microbiota plays an important role in the control of body weight, supporting specific genera as potential target in personalized nutrition for obesity management. A more in-depth taxonomic identification method and the need of metabolic information encourages to further investigation.

Automated summary

This observational study conducted within the PREDIMED-Plus clinical trial aimed to assess the association between fecal microbiota, body composition, and weight loss in response to a 12-month lifestyle intervention. The study found specific bacteria to be associated with weight loss and suggested fecal microbiota plays an important role in controlling body weight, supporting specific genera as potential targets for personalized nutrition in obesity management. Further investigation with more in-depth taxonomic identification and metabolic information is encouraged.