Baseline gut metagenomic functional gene signature associated with variable weight loss responses following a healthy lifestyle intervention in humans

• Main Authors: Diener, C. (Author), Gibbons, S.M (Author), Hood, L. (Author), Lovejoy, J.C (Author), Magis, A.T (Author), Patwardhan, S. (Author), Price, N.D (Author), Qin, S. (Author), Tang, L. (Author), Zhou, Y. (Author)
• Format: Article
• Language: English
• Published: American Society for Microbiology 2021
• Subjects: adult; amylase; Amylase; Article; bacterial growth; bacterial microbiome; body mass; body weight loss; caloric intake; cohort analysis; commensal; Diet; follow up; functional genomics; gene sequence; growth rate; Health; healthy lifestyle; human; immunomodulation; intestine flora; metabolome; Metabolome; metabolomics; Metagenome; metagenomics; Microbiome; nonhuman; Obesity; phenotype; polysaccharide; protein degradation; proteome; Proteome; proteomics; Replication rate; RNA 16S; taxonomy; Weight loss
• Online Access: View Fulltext in Publisher

 Recent human feeding studies have shown how the baseline taxonomic composition of the gut microbiome can determine responses to weight loss interventions. However, the functional determinants underlying this phenomenon remain unclear. We report a weight loss response analysis on a cohort of 105 individuals selected from a larger population enrolled in a commercial wellness program, which included healthy lifestyle coaching. Each individual in the cohort had baseline blood metabolomics, blood proteomics, clinical labs, dietary questionnaires, stool 16S rRNA gene sequencing data, and follow-up data on weight change. We generated additional targeted proteomics data on obesity-associated proteins in blood before and after intervention, along with baseline stool metagenomic data, for a subset of 25 individuals who showed the most extreme weight change phenotypes. We built regression models to identify baseline blood, stool, and dietary features associated with weight loss, independent of age, sex, and baseline body mass index (BMI). Many features were independently associated with baseline BMI, but few were independently associated with weight loss. Baseline diet was not associated with weight loss, and only one blood analyte was associated with changes in weight. However, 31 baseline stool metagenomic functional features, including complex polysaccharide and protein degradation genes, stress-response genes, respiration-related genes, and cell wall synthesis genes, along with gut bacterial replication rates, were associated with weight loss responses after controlling for age, sex, and baseline BMI. Together, these results provide a set of compelling hypotheses for how commensal gut microbiota influence weight loss outcomes in humans. © 2021 Diener et al.