Evidence map›Paper›PMID 42740945›Full record

ArticleFrontiers in cellular and infection microbiology2026

Fecal microbiota and metabolite profiles in patients with osteoarthritis: a cross-sectional study.

Qian-Qian Zhou, Jing Wang, Li-Lan Zhang, Ya-Ting He, Hao Liu, Yang-Guang Cao, Lin Cheng, Ya-Qin Zhang, Lei Zhang, Yi-Yuan Wang and 2 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

Qian-Qian ZhouAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.
Jing WangAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.
Li-Lan ZhangAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.
Ya-Ting HeAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.
Hao LiuAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.
Yang-Guang CaoAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.
Lin ChengDepartment of Rheumatology and Immunology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Ya-Qin ZhangDepartment of Rheumatology and Immunology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Lei ZhangDepartment of Rheumatology and Immunology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yi-Yuan WangAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.
Zhang-Wei LuAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.
Bao-Zhu LiAnhui Medical University, School of Public Health, Department of Epidemiology and Biostatistics, Center for Big Data and Population Health of IHM, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Globally, Osteoarthritis (OA) represents a primary chronic joint condition, rooted in complex mechanisms such as metabolic irregularities, synovitis, immune system responses, and body-wide inflammation. Emerging evidence highlights gut microbiota as a critical mediator of joint inflammation. Methods: In this study, 55 OA patients from the affiliated hospital of Anhui Medical University were compared with 55 healthy controls. Using 16S rRNA (V4-V5) sequencing and POS/NEG dualionmode untargeted fecal metabolomics, we investigated the "gutmetabolismimmunityjoint" axis in OA. Results: The results indicate that patients with OA exhibit significant gut microbiota dysbiosis, characterised in particular by a reduction in beneficial bacterial groups such as Discussion: This study revealed significant alterations in gut microbiota and fecal metabolites in OA patients compared to healthy individuals. The identified differential metabolites hold promise as potential biomarkers for early diagnosis or therapeutic targets, offering new insights for future personalized interventions.

Indexed as

BacteriaFecesGastrointestinal MicrobiomeMetabolomeOsteoarthritisAgedCross-Sectional StudiesDysbiosisFemaleHumansMaleMetabolomicsMiddle AgedRNA, Ribosomal, 16SRNA, Ribosomal, 16Sfecal metabolitesgastrointestinal microbiomemetabolomesmultiomicsosteoarthritis

Identifiers

PMID42740945
PMCPMC13572143

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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.