Evidence map›Paper›PMID 36329847›Full record

ArticleFrontiers in microbiology2022

The change of plasma metabolic profile and gut microbiome dysbiosis in patients with rheumatoid arthritis.

Jing Zhu, Tingting Wang, Yifei Lin, Minghao Xiong, Jianghua Chen, Congcong Jian, Jie Zhang, Huanhuan Xie, Fanwei Zeng, Qian Huang and 4 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Microbial threads in the tapestry of rheumatoid arthritis.The Journal of clinical investigation · 2025
    Review
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  12. Review
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  14. Article
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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

14 authors.

Jing ZhuDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China.
Tingting WangDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, China.
Yifei LinPrecision Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Minghao XiongDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, China.
Jianghua ChenNorth Sichuan Medical College, Nanchong, China.
Congcong JianSchool of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jie ZhangDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, China.
Huanhuan XieDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, China.
Fanwei ZengSichuan Province Orthopaedic Hospital, Chengdu, China.
Qian HuangDazhou Vocational and Technical College, Dazhou, China.
Jiang SuDepartment of Rheumatology and Immunology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Yi ZhaoDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China.
Shilin LiDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, China.
Fanxin ZengDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Rheumatoid arthritis (RA) is a chronic inflammatory joint disease, which is associated with progressive disability, systemic complications, and early death. But its etiology and pathogenesis are not fully understood. We aimed to investigate the alterations in plasma metabolite profiles, gut bacteria, and fungi and their role of them in the pathogenesis of RA. Methods: Metabolomics profiling of plasma from 363 participants including RA ( Results: There were 63 differential metabolites discovered between RA and HC groups, mainly significantly enriched in the arginine and proline metabolism, glycine, serine, and threonine metabolism, and glycerophospholipid metabolism between RA and HC groups. The core differential metabolites included L-arginine, creatine, D-proline, ornithine, choline, betaine, L-threonine, LysoPC (18:0), phosphorylcholine, and glycerophosphocholine. The L-arginine and phosphorylcholine were increased in the RA group. The AUC of the predictive model was 0.992, based on the combination of the 10 differential metabolites. Compared with the SLE group, 23 metabolites increased and 61 metabolites decreased in the RA group. However, no significant metabolic pathways were enriched between RA and SLE groups. On the genus level, a total of 117 differential bacteria genera and 531 differential fungal genera were identified between RA and HC groups. The results indicated that three bacteria genera ( Conclusion: The plasma metabolism profile and gut microbe profile changed markedly in RA. The glycine, serine, and threonine metabolism and arginine and proline metabolism played an important role in RA.

Indexed as

gut bacterialgut fungusmetabolic pathwaymetabolomicsrheumatoid arthritis

Identifiers

PMID36329847
PMCPMC9623673

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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.