Evidence map›Paper›PMID 42157273›Full record

ArticleArthritis research & therapy2026

Lipid metabolism dysregulation in rheumatoid arthritis: from multi-omics discovery to adjunctive therapy with conjugated linoleic acid.

Jianghua Chen, Zhuming Yin, Wantai Dang, Congcong Jian, Tingting Wang, Jiaxin Huang, Xiaoting Zhu, Yuanli Wei, Jing Gao, Jie Zhang and 6 more

Abstract read
In one paragraph

Article in Arthritis research & therapy, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

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4 · The record

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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

16 authors.

Jianghua Chen *Dazhou Vocational College of Chinese Medicine, Dazhou, Sichuan, China.
Zhuming Yin *Department of Breast Oncoplastic Surgery, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer; Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, Tianjin, China.
Wantai Dang *Department of Rheumatology and Immunology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Congcong JianDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China.
Tingting WangDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan, China.
Jiaxin HuangDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China.
Xiaoting ZhuDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China.
Yuanli WeiDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan, China.
Jing GaoDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan, China.
Jie ZhangDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China.
Jiang SuDepartment of Rheumatology and Immunology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Jing ZhuDepartment of Rheumatology and Immunology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Jianhong WuDepartment of Rheumatology and Immunology, Dazhou Central Hospital, Dazhou, Sichuan, China.
Qinghua ZouDepartment of Rheumatology and Immunology, First Affiliated Hospital of Army Military Medical University, Chongqing, 400038, China. zouqinghua318@tmmu.edu.cn.
Pilei SiDepartment of Scientific Research and Foreign Affairs, Henan Provincia People's Hospital, People' S Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou, 450003, Henan, China. siplei2013@pku.edu.cn.
Fanxin ZengDepartment of Clinical Research Center, Dazhou Central Hospital, Dazhou, Sichuan, China. zengfx@pku.edu.cn.

Funding

National Science and Technology Major Project of the Ministry of Science and Technology of China 2024ZD0520505
6 · The paper itself

Abstract

objectiveThis study aims to comprehensively analyze the role of metabolic signatures in rheumatoid arthritis (RA).

methodsA total of 599 samples, including fecal (n = 206), plasma (n = 206), and peripheral blood mononuclear cell (PBMC) samples (n = 187), were collected from 443 individuals with RA, systemic lupus erythematosus, and controls. Fecal, plasma and PBMC samples were subjected to 16S rRNA sequencing, liquid chromatography-tandem mass spectrometry, RNA sequencing and 4D DIA proteomics, respectively. A collagen-induced arthritis mouse model was used to investigate the role of the metabolite conjugated linoleic acid (CLA) in experimental arthritis. An RA clinical cohort (n = 26) was recruited to validate the potential role of CLA as an adjunct to conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) therapy.

resultsMulti-omics analysis revealed comprehensive alterations in metabolic signatures (metabolism-related molecules, metabolites, and metabolic pathways) in RA. Lipid metabolism pathways, particularly linoleic acid metabolism, appear to play a significant regulatory role in RA progression. Metabolites and molecules involved in linoleic acid metabolism were significantly associated with clinical phenotypes in RA patients. In animal experiments, CLA reduced arthritis scores, swollen joint counts, histopathological scores, and inflammatory levels. Finally, CLA supplementation accelerated the reduction of inflammatory levels in RA patients receiving csDMARDs therapy.

conclusionThese findings reveal lipid metabolism as a druggable axis, position dietary CLA as an adjunct to improve outcomes in RA, and offer a new avenue to enhance remission rates.

Indexed as

Arthritis, RheumatoidLinoleic Acids, ConjugatedLipid MetabolismAdultAnimalsAntirheumatic AgentsArthritis, ExperimentalFemaleHumansLeukocytes, MononuclearMaleMiceMice, Inbred DBAMiddle AgedMultiomicsProteomicsAntirheumatic AgentsLinoleic Acids, ConjugatedConjugated linoleic acidLinoleic acid metabolismMetabolic signaturesMultiomics analysisRheumatoid arthritis

Identifiers

PMID42157273
PMCPMC13360209

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.