Evidence map›Paper›PMID 41551583›Full record

ArticleCurrent research in microbial sciences2026

Shared signatures of alcohol-associated dysbiosis in humans and non-human primates.

Ti Chen, Rui Huang, Yichun Huang, Jianhong Wang, Zheng Wang, Xiaojie Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current research in microbial sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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

6 authors.

Ti ChenClinical Laboratory, The Third Xiangya Hospital of Central South University, Changsha, Hunan 410000, China.
Rui HuangXiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan 410013, China.
Yichun HuangSchool of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Peking University, Rm 336, LUI Che Woo Building, Beijing, China.
Jianhong WangNational Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility) and National Resource Center for Non-Human Primates, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650107, China.
Zheng WangSchool of Psychological and Cognitive Sciences, Beijing Key Laboratory of Behavior and Mental Health, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Peking University, Rm 336, LUI Che Woo Building, Beijing, China.
Xiaojie ZhangDepartment of Psychiatry, The Second Xiangya Hospital of Central South University, No. 139, Renmin Middle Road, Furong District, Changsha, Hunan 410011, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol use disorder (AUD) is a chronic brain disease with limited therapeutic options. Increasing evidence suggests that the gut microbiome contributes to AUD via the microbiome-gut-brain axis. Here, we conducted a cross-species investigation of gut microbiota alterations in patients with clinically diagnosed AUD and in non-human primates (NHPs) subjected to long-term alcohol (ethanol) self-administration, using metagenomic sequencing. Both cohorts showed reduced microbial diversity and conserved dysbiosis, with consistent depletion of

Indexed as

Alcohol use disorderCross-species comparisonGut microbiotaNon-human primates

Identifiers

PMID41551583
PMCPMC12811497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.