ArticleNature communications2025
Prevotella copri promotes white adipose browning and ameliorates adiposity.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Review
- Population-scale characterization of the oral microbiome and associations with metabolic health.Nature communications · 2026Article
- Unveiling functional heterogeneity in pasteurizedFrontiers in nutrition · 2026Article
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Authors and funding
18 authors.
Funding
Abstract
Prevotella is a poorly understood symbiont within the gut microbiota, and its role in host health remains unclear. Here, we report a case-control analysis of a Chinese cohort, in which patients with obesity showed significantly lower fecal Prevotella copri abundance. The administration of P. copri can alleviate fat deposition and promote browning in inguinal white adipose tissue (iWAT) of mice with high-fat diet (HFD)-induced adiposity. We identify succinate as a key metabolite that activates succinate receptor 1 (SUCNR1) to mimic the effects of P. copri. Mice treated with either P. copri or succinate have increased iWAT-resident macrophage populations and IL-6-STAT3 pathway activation. Forkhead box M1 (FOXM1) directly upregulates IL-6 to activate IL-6-STAT3 signaling in P. copri- or succinate-induced iWAT browning. In human WAT, we identify that P. copri and succinate levels are positively correlated with TBX1 and UCP1 transcription. This study reveals the function of P. copri in promoting iWAT browning and suggests potential strategies for alleviating adiposity and associated disorders.
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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.