Evidence map›Paper›PMID 42164524›Full record

ReviewiScience2026

The gut-liver/bile axis: Gut microbiota and bacterial extracellular vesicles remodeling hepatobiliary pathogenesis.

Siyang Hu, Chunhui He, Kunqi Sun, Hongye Zhou, Xueyan Liu, Hao Wang, Sen Li, Haifeng Yu, Ke Xu, Wei Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Siyang HuDepartment of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Chunhui HeDepartment of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Kunqi SunDepartment of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Hongye ZhouDepartment of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Xueyan LiuWenzhou Institute of Shanghai University, Wenzhou, China.
Hao WangWenzhou Institute of Shanghai University, Wenzhou, China.
Sen LiDepartment of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.
Haifeng YuDepartment of Cardiothoracic Surgery, Affiliated Wuxi Fifth Hospital of Jiangnan University, The Fifth People's Hospital of Wuxi, Wuxi 214000, China.
Ke XuInstitute of Translational Medicine, Shanghai University, Shanghai 200444, China.
Wei LiDepartment of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global hepatobiliary disease burden is increasing, prompting gut-liver axis research. Gut microbiota-secreted bacterial extracellular vesicles (BEVs) carry bioactive molecules affecting host immunity, inflammation, and metabolism. Whether BEVs actively or passively cause liver damage is unclear. This review suggests gut-derived BEVs trigger hepatic innate immunity and sterile inflammation. By combining current findings on how gut microbes, their BEVs, and hepatobiliary diseases interact, we improve the "gut-liver/bile axis" idea. Acknowledging BEVs' active part in disease offers new ways to use them as diagnostic markers and treatment targets, likely better managing hepatobiliary disorders.

Indexed as

HepatologyMicrobiomePathophysiology

Identifiers

PMID42164524
PMCPMC13185774

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.