Baseline Gut Metagenomic Functional Gene Signature Associated with Variable Weight Loss Responses following a Healthy Lifestyle Intervention in Humans.
amylase
diet
health
metabolome
metagenome
microbiome
obesity
proteome
replication rate
weight loss
Journal
mSystems
ISSN: 2379-5077
Titre abrégé: mSystems
Pays: United States
ID NLM: 101680636
Informations de publication
Date de publication:
26 Oct 2021
26 Oct 2021
Historique:
pubmed:
15
9
2021
medline:
15
9
2021
entrez:
14
9
2021
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 34519531
doi: 10.1128/mSystems.00964-21
pmc: PMC8547453
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e0096421Subventions
Organisme : Institute for Systems Biology
ID : Innovator Award
Organisme : Washington Research Foundation (WRF)
ID : Distinguished Investigator Award
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