Evidence map›Paper›PMID 37572155›Full record

ArticleClinical and experimental medicine2023

Alterations of the intestinal microbiome and metabolome in women with rheumatoid arthritis.

Haifeng Yun, Xinxin Wang, Changjiang Wei, Qiuhong Liu, Xianyan Li, Na Li, Guoxing Zhang, Dawei Cui, Rui Liu

Abstract read
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In one paragraph

Article in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  9. Rheumatoid Arthritis: Biomarkers and the Latest Breakthroughs.International journal of molecular sciences · 2025
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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

9 authors.

Haifeng Yun *Department of Internal Medicine, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 18 Yang-Su Road, Suzhou, 215003, People's Republic of China.ORCID http://orcid.org/0009-0006-9423-1249
Xinxin Wang *Jinling Institute of Technology, Nanjing, 211100, People's Republic of China.ORCID http://orcid.org/0000-0002-8458-9881
Changjiang Wei *Department of Surgery, The Fifth People's Hospital of Suzhou, 10 Guangqian Road, Suzhou, 215000, People's Republic of China.ORCID http://orcid.org/0009-0003-8669-9077
Qiuhong Liu *Department of Internal Medicine, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 18 Yang-Su Road, Suzhou, 215003, People's Republic of China.ORCID http://orcid.org/0009-0002-4862-1650
Xianyan LiDepartment of Internal Medicine, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 18 Yang-Su Road, Suzhou, 215003, People's Republic of China.ORCID http://orcid.org/0009-0003-3982-2626
Na LiDepartment of Internal Medicine, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 18 Yang-Su Road, Suzhou, 215003, People's Republic of China.ORCID http://orcid.org/0009-0003-1971-592X
Guoxing ZhangDepartment of Physiology, Medical College of Soochow University, 199 Ren-Ai Road, Dushu Lake Campus, Suzhou Industrial Park, Suzhou, 215123, People's Republic of China.ORCID http://orcid.org/0000-0003-0647-4699
Dawei CuiDepartment of Blood Transfusion, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Clinical In Vitro Diagnostic Techniques of Zhejiang Province, 79 Qinchun Road, Hangzhou, 310003, People's Republic of China. daweicui@zju.edu.cn.ORCID http://orcid.org/0000-0003-3840-1486
Rui LiuDepartment of Internal Medicine, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, 18 Yang-Su Road, Suzhou, 215003, People's Republic of China. ruier79@163.com.ORCID http://orcid.org/0009-0008-0256-4746

Funding

National Natural Science Foundation of China 81871709Natural Science Foundation Project of Nanjing University of Traditional Chinese Medicine XZR2020039
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is more common in women, and many reports of sex differences have been reported in various aspects of RA. However, there has been a lack of specific research on women's gut flora. To assess the association between the gut flora and RA patients, this study combined the microbiome with metabolomics. Fecal samples from RA patients and healthy controls were collected for 16S rRNA sequencing. Nontargeted liquid chromatography-mass spectrometry was used to detect metabolites in fecal samples. We comprehensively used various analytical methods to reveal changes in intestinal flora and metabolites in female patients. The gut flora of RA patients was significantly different from that of healthy women. The abundance of Bacteroides, Megamonas and Oscillospira was higher in RA patients, while the abundance of Prevotella, Gemmiger and Roseburia was lower than that of healthy women. Gemmiger, Bilophila and Odoribacter represented large differences in microflora between RA and healthy women and could be used as potential microorganisms in the diagnosis. Fatty acid biosynthesis was significantly different between RA patients and healthy women in terms of metabolic pathways. There were different degrees of correlation between the gut flora and metabolites. Lys-Phe-Lys and heptadecasphin-4-enine can be used as potential markers for RA diagnosis. There was an extremely significant positive correlation between Megamonas, Dialister and rheumatoid factors, which was found for the first time. These findings indicated that alterations of these gut microbiome and metabolome may contribute to the diagnosis and treatment of RA patients.

Indexed as

Arthritis, RheumatoidGastrointestinal MicrobiomeFemaleHumansMaleMetabolomeRheumatoid FactorRNA, Ribosomal, 16SRheumatoid FactorRNA, Ribosomal, 16SFecalGut floraMetabolomeMicrobiomeRheumatoid arthritis

Identifiers

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Registered trials

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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.