Evidence map›Paper›PMID 42840894›Full record

ArticleClinical, cosmetic and investigational dermatology2026

A New Insight into Acne Pathogenesis: Multi-Omics Links a Metabolite to

Xiaojing Song, Junyou Chen, Hung Chan, Feiyan Lin, Xuan Wang, Chenwei Zhu, Mohammad Hassan Heidari, Lingjun Liu, Chengyi Li, Zhenfeng Liu and 2 more

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Xiaojing Song *The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Junyou Chen *Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Hung Chan *Research Centre for Herb Polysaccharides and Intestinal Immunology, Hong Kong Baptist University, Hong Kong, People's Republic of China.
Feiyan LinThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Xuan WangThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Chenwei ZhuThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Mohammad Hassan HeidariThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Lingjun LiuThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Chengyi LiThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Zhenfeng LiuThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Qing LiThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.
Bin YangThe First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gut microbiota dysbiosis is implicated in dermatoses, including acne vulgaris. However, gut microbial and metabolomic profiles in acne remain uncharacterized. Methods: We performed metagenomic and metabolomic analyses on fecal samples from 29 acne patients and 20 healthy controls. Functional annotations utilized multiple databases. Integrated metagenomic-metabolomic analysis was conducted to identify metabolites, and their effects were subsequently validated in a mouse acne model. Finally, a five-fold cross-validated random forest model evaluated discriminatory capacity of microbial, metabolic, and multi-omics signatures for acne and its subtypes. Results: Acne patients exhibited reduced gut microbial diversity and decreased abundance of beneficial genera (eg, Conclusion: Acne vulgaris demonstrates distinct gut microbiota and metabolite signatures. Our integrated data suggest that gut microbiota may influence acne development via metabolic changes, and some of these metabolites might possess acne‑promoting properties.

Indexed as

acnegamma-glutamyl tyrosinegut microbiotaintegrated analysismetabolism

Identifiers

PMID42840894
PMCPMC13641832

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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.