Evidence map›Paper›PMID 42910171›Full record

ArticleFood science & nutrition2026

Computational Prediction of the Therapeutic Mechanisms From the Turmeric-Pueraria-Coix Seed Botanical Formula in Rheumatoid Arthritis.

Weiya Lan, Qianwei Lu, Xudong Rui, Ke Li, Chaoji Su, Qiang Su, Yanchang Huang, Run Shi, Wei Chen, Fang Tang

Abstract read
In one paragraph

Article in Food science & nutrition, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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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

10 authors.

Weiya LanGraduate School Guizhou University of Traditional Chinese Medicine Guiyang Guizhou Province China.ORCID https://orcid.org/0009-0005-2700-6423
Qianwei LuDepartment of Joint Orthopedics The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine Guiyang Guizhou Province China.ORCID https://orcid.org/0009-0003-4705-7020
Xudong RuiSchool of Health Management Guiyang Healthcare Vocational University Guiyang Guizhou Province China.
Ke LiDepartment of Joint Orthopedics Nanyang Hospital of Traditional Chinese Medicine Nanyang Henan Province China.
Chaoji SuGraduate School Guizhou University of Traditional Chinese Medicine Guiyang Guizhou Province China.
Qiang SuGraduate School Guizhou University of Traditional Chinese Medicine Guiyang Guizhou Province China.ORCID https://orcid.org/0009-0004-1331-0881
Yanchang HuangDepartment of Joint Orthopedics The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine Guiyang Guizhou Province China.ORCID https://orcid.org/0009-0005-6616-001X
Run ShiDepartment of Oncology The First Affiliated Hospital of Nanjing Medical University Nanjing Jiangsu Province China.ORCID https://orcid.org/0000-0003-4667-4812
Wei ChenDepartment of Neurology The Affiliated Jinyang Hospital of Guizhou Medical University Guiyang Guizhou Province China.
Fang TangDepartment of Rheumatology and Immunology The Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine Guiyang Guizhou Province China.ORCID https://orcid.org/0000-0001-6390-1314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is characterized by progressive synovial inflammation and immune-metabolic reprogramming. The polyphenol-rich Turmeric-Pueraria-Coix seed (TPC) formula shows therapeutic potential against RA, though its multi-target mechanisms remain uncharacterized. To explore how TPC modulates ferroptosis and oxidative stress in RA, we integrated systems nutrition network analysis with multicohort transcriptomic datasets to identify candidate targets. Ensemble machine learning algorithms and independent cohort validation prioritized key biomarkers. Molecular dynamics (MD) simulations evaluated the dynamic behavior and interaction persistence of polyphenol-target complexes, and single-cell in silico overexpression and knockout analyses characterized the regulatory consequences of perturbing these targets within RA synovial networks. Analysis identified 85 bioactive phytochemicals in the TPC formula, forming a polyphenol-dominant matrix mapping to 40 RA targets. Algorithmic and cross-cohort prioritization isolated six core genes (ALOX5, CD38, CDK1, EZH2, MAPK8, and PTGS2) linked to RA synovial transcriptomic patterns, with varying predictive performance across external cohorts. SHAP analysis highlighted PTGS2, CD38, and MAPK8; however, MD simulations prioritized CD38 and MAPK8 as stable targets of coumestrol, whereas PTGS2 exhibited less dynamic stability. Single-cell perturbation analysis revealed similar regulatory responses following MAPK8 and PTGS2 modulation, whereas CD38 knockout produced a distinct network response. These findings link TPC-derived polyphenols to CD38/MAPK8 signaling and ferroptosis in RA, providing testable molecular hypotheses for experimental validation.

Indexed as

coumestroldietary polyphenolsferroptosismachine learningmolecular dynamicsrheumatoid arthritis

Identifiers

PMID42910171
PMCPMC13685524

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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.