Evidence map›Paper›PMID 41670382›Full record

ArticleMicrobiology spectrum2026

Integrated analysis of gut microbiome and fecal metabolome reveals potential non-invasive biomarkers for early-stage silicosis.

Yiru Qin, Zhiming Hu, Zexian Dong, Jianlin Shen, Ying Han, Jiayun Wu, Yali Lan, Chuifei Zhong, Yushi Ou, Jie Sun and 12 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 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. 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

22 authors.

Yiru Qin *Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Zhiming Hu *Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Zexian Dong *Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.ORCID 0009-0005-4874-7669
Jianlin ShenSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Ying HanGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Jiayun WuGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Yali LanGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Chuifei ZhongGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Yushi OuGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Jie SunGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Jianhua LuoGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Cong LiGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Zhongxiang GaoGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Qifeng WuGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Ying ZhangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Lvqin WenGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Xinxiang QiuGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Weihui LiangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Qiying NongGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Ping WangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Yongshun HuangGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.
Na ZhaoGuangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, China.ORCID 0000-0003-4202-6738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Silicosis is an irreversible and progressive form of pulmonary fibrosis resulting from inhalation of silica particles, representing a persistent global health concern. Although the gut microbiota has been implicated in chronic lung diseases, its role in silicosis remains largely unexplored. Here, we performed 16S ribosomal RNA (rRNA) gene sequencing on fecal samples from 78 silicosis patients (27 stage I, 24 stage II, 27 stage III) and 30 matched healthy controls (HCs), and further conducted untargeted fecal metabolomics profiling in stage I patients, the critical point for microbial dysbiosis. Silicosis patients exhibited significantly altered beta diversity compared with HCs. At the phylum level, a progressive increase in

Indexed as

BacteriaFecesGastrointestinal MicrobiomeMetabolomeSilicosisAgedBiomarkersDysbiosisFemaleHumansMaleMetabolomicsMiddle AgedRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16Searly-stage diagnosisgut microbiomemetabolomenon-invasive biomarkersilicosis

Identifiers

PMID41670382
PMCPMC12955483

What OpenQuestion holds

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LicenceCC BY
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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.