Evidence map›Paper›PMID 40372036›Full record

ArticleMicrobiology spectrum2025

Identification of 1,400 metabolites as mediators of obesity in 473 gut microbiota taxa: a mediation Mendelian randomization study.

Xiaomin Li, Qike Wu, Shan-Peng Liu

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Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiaomin LiDepartment of Nutrition and Food Hygiene, College of Public Health, Key Laboratory of Precision Nutrition and Health, Ministry of Education, Harbin Medical University, Heilongjiang, China.
Qike WuGraduate School Capital Medical University, Beijing, China.
Shan-Peng LiuGraduate School Capital Medical University, Beijing, China.ORCID 0009-0003-1643-0208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a global health problem driven by genetic, endocrine, and environmental factors. Gut microbiota significantly influences obesity, yet causal relationships and underlying pathways remain elusive. The objective of the study was to investigate causal relationships between gut microbiota, metabolites, and obesity; elucidate potential pathways mediating obesity onset; identify novel genes; and explore the impact of plasma proteins on obesity risk. Bidirectional and two-sample Mendelian randomization (MR) were used to explore causal relationships. Mediation analyses identified mechanisms linking gut microbiota, metabolites, and obesity. Pathway analyses and protein-protein interaction assessed genetic and protein associations. The MR analysis results identified 11 gut microbiota species with causal associations with obesity, 69 metabolites that were significantly causally related to obesity, and seven bacteria with causal relationships, mediated by metabolites. Single nucleotide polymorphisms (SNP)-related gene set enrichment analysis revealed clustering in a concentration of genes enriched for phosphatidylinositol 3-kinase (PI3K)/protein kinase B (PKB/AKT) and plasma membrane-related signaling pathways. Fms-related receptor tyrosine kinase 1 (FLT1), growth-associated protein 43 (GAP43), and SLIT and NTRK-like family member 1 (SLITRK1) plasma proteins had protective effects against obesity. This study revealed causal links between gut bacteria, metabolites, and obesity, and identified potential therapeutic targets. Findings deepen understanding of obesity's complex mechanisms and suggest novel prevention and treatment strategies, emphasizing the gut microbiota and treatment targets. IMPORTANCE: This study pioneered the use of genetic approaches and mediator analyses to confirm the causal relationship between gut microbiota, metabolites, and obesity, and also explored how these factors work together to promote obesity through specific signaling pathways and protein interactions. This finding provides a theoretical basis and potential targets for precision medicine strategies against obesity, which is of great clinical significance. In addition, the identification of protective plasma proteins as biomarkers for obesity prevention opens up new avenues for tailoring obesity intervention strategies.

Indexed as

BacteriaGastrointestinal MicrobiomeObesityBlood ProteinsHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideSignal TransductionBlood Proteinsgenetic variationgut microbiotamediationMendelian randomizationmetabolitesobesity

Identifiers

PMID40372036
PMCPMC12131829

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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.