Evidence map›Paper›PMID 41841147›Full record

ArticleFrontiers in genetics2026

A systematic exploration of gut microbiota-driven blood metabolites in sepsis: an integrated bioinformatics and genetic association study.

Yanhuo Zhang, Chenghao Qiu, Xingyu Li, Yaling Peng, Jun Liu, Peng Zhu

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Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yanhuo Zhang *Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chenghao Qiu *Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xingyu Li *The Second Clinical Medical College of Chongqing Medical University, Chongqing, China.
Yaling PengDepartment of Anesthesiology, Western Medicine Department, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, China.
Jun LiuDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Peng ZhuDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Alterations in the blood metabolome are closely associated with sepsis, while the gut microbiota (GM) plays a crucial role in modulating both sepsis progression and circulating metabolites. However, whether the effects of the GM on sepsis are mediated through blood metabolites remains unclear. Methods: To determine whether the effects of the GM on sepsis are mediated through blood metabolites, we performed a two-sample Mendelian randomization (MR) analysis combined with a two-step MR framework to identify potential metabolic mediators. Comprehensive bioinformatics analyses were integrated to construct interaction networks using Cytoscape, and pharmacodynamic experiments were conducted in a murine sepsis model. Results: We identified 23 GM taxa and 169 blood metabolites significantly associated with sepsis. Two-step MR analysis revealed that 15 metabolites mediated the causal relationships between 12 GM taxa and sepsis, with mediation proportions ranging from 3.70% to 13.70%. A total of 131 potential molecular targets were predicted for these metabolites, and network analysis highlighted five key metabolites and seven central targets. Molecular docking demonstrated strong binding affinities between these metabolites and their targets. Notably, gulonic acid (GA) and 4-hydroxyphenylacetic acid (4-HPA), driven by Lentisphaerae, Lentisphaeria, and Victivallales, significantly improved survival and attenuated organ injury and inflammation in septic mice. Discussion: Collectively, this study provides evidence supporting a causal role of the GM in sepsis, which mediated in part by blood metabolites. These findings highlight the therapeutic potential of targeting both the GM and GM-driven metabolites as novel interventions for sepsis.

Indexed as

genome-wide association studygut microbiotametabolitesnetwork pharmacologysepsis

Identifiers

PMID41841147
PMCPMC12989214

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