Evidence map›Paper›PMID 42193092›Full record

ArticleCurrent issues in molecular biology2026

Coix Seed Oil Ameliorates Rheumatoid Arthritis by Modulating Inflammation-Associated Metabolic Pathways.

Yong Yang, Ying Feng, Weijie Tang, Yu Meng, Xiuping Ma

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Yong YangSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China.
Ying FengSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China.
Weijie TangSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China.
Yu MengSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China.
Xiuping MaSchool of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China.ORCID 0009-0004-8951-1698

Funding

Science and Technology Program of Guizhou Province Qiankehe Basics ZK [2022] Key 488Science and Technology Program of Guizhou Province Qiankehe Basics ZK [2022] Key 500
6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is a chronic disease that primarily manifests as symmetrical joint inflammation. Although Coix Seed Oil (CSO) has demonstrated anti-inflammatory effects in RA rat models, its systemic metabolic regulatory mechanisms remain unclear. Therefore, we aimed to investigate whether CSO ameliorates RA by modulating inflammation-associated metabolic pathways. Ultra-High-Performance Liquid Chromatography (UHPLC)-Q Exactive HF-X-MS-based metabolomics was used to profile metabolites in the synovial tissue and serum of complete Freund's adjuvant (CFA)-induced RA rats. Systematically altered metabolites and their associated pathways were identified using multivariate analysis and pattern recognition. CSO treatment modulated 16 RA-related biomarkers in rat synovial tissues and 12 in the serum, which mainly affected amino acids, arachidonic acids, lipids, sphingolipids, and carnitines. These metabolites were associated with eight perturbed metabolic pathways that were predominantly involved in inflammatory responses. This study demonstrated that CSO has significant anti-RA effects on pharmacodynamic activity and metabolic network regulation. Additionally, inflammation-associated metabolic pathways are closely linked to the therapeutic efficacy of CSO in RA treatment.

Indexed as

Coix Seed Oilinflammation-associated pathwaysmetabolomicsrheumatoid arthritisUHPLC-MS

Identifiers

PMID42193092
PMCPMC13206417

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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.