ArticlemSystems2021
Baseline Gut Metagenomic Functional Gene Signature Associated with Variable Weight Loss Responses following a Healthy Lifestyle Intervention in Humans.
Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of evidence that environmental contaminant exposure impedes weight loss and glycemic control during calorie-restricted diets in humans.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Impact of Food-Based Weight Loss Interventions on Gut Microbiome in Individuals with Obesity: A Systematic Review.Nutrients · 2022Pooled it
- Machine learning identifies microbiome and clinical predictors of sustained weight loss following prolonged fasting.Genome medicine · 2026Trial
- Modulating effects of microbiota on synbiotic intervention outcomes for microbiota-derived trimethylamine, trimethylamine N-oxide and indoxyl sulfate in healthy young medical students: insights from a 12-week randomized clinical trial.Journal of translational medicine · 2025Trial
- Metabolic modeling reveals determinants of prebiotic and probiotic treatment efficacy across multiple human intervention trials.PLoS biology · 2026Article
- Beyond a universal obesity microbiome signature: pre-intervention heterogeneity and a framework for baseline profiling.Frontiers in nutrition · 2026Review
- Functional genetic signatures of the gut microbiome in cardiometabolic diseases: mechanisms and translational opportunities.Frontiers in microbiomes · 2026Review
- Bile acids segregate metabolic syndrome in a cohort of 100 deeply phenotyped horses.Communications biology · 2025Article
- Gut metagenomes reveal interactions between dietary restriction, ageing and the microbiome in genetically diverse mice.Nature microbiology · 2025Article
- Clinical translation of microbiome research.Nature medicine · 2025Review
- The human microbiome in clinical translation: from bench to bedside.Frontiers in microbiology · 2025Review
- Secondary integrated analysis of multi-tissue transcriptomic responses to a combined lifestyle intervention in older adults from the GOTO nonrandomized trial.Nature communications · 2024Article
- Metabolic liability for weight gain in early adulthood.Cell reports. Medicine · 2024Article
- Effects of dietary fibre on metabolic health and obesity.Nature reviews. Gastroenterology & hepatology · 2024Review
- Long-term intake of Lactobacillus helveticus enhances bioavailability of omega-3 fatty acids in the mouse retina.NPJ biofilms and microbiomes · 2024Article
- Longitudinal gut microbial signals are associated with weight loss: insights from a digital therapeutics program.Frontiers in nutrition · 2024Article
- Gut microbiome diversity, variability, and latent community types compared with shifts in body weight during the freshman year of college in dormitory-housed adolescents.Gut microbes · 2023Observational
- Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.Nature medicine · 2023Article
- Mechanisms of Maternal Diet-Induced Obesity Affecting the Offspring Brain and Development of Affective Disorders.Metabolites · 2023Review
- The Application of Spearman Partial Correlation for Screening Predictors of Weight Loss in a Multiomics Dataset.Omics : a journal of integrative biology · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.