Evidence map›Paper›PMID 40011356›Full record

ArticleClinical rheumatology2025

Application of metabolomics in the classification of traditional Chinese medicine syndromes in rheumatoid arthritis.

Yao Li, Shuqi Zhong, Shengchun Huang, Wanying Zhong, Baolin Zheng, Qihong Guo, Jihong Liu, Xueyan Guo, Rong Su

Abstract read
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Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yao LiDepartment of Laboratory Medicine, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Shuqi ZhongDepartment of Laboratory Medicine, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Shengchun HuangDepartment of Laboratory Medicine, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Wanying ZhongDepartment of Laboratory Medicine, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Baolin ZhengNephrology and Rheumatology Department, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Qihong GuoNephrology and Rheumatology Department, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Jihong LiuPrevention and Treatment Center, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Xueyan GuoDepartment of Laboratory Medicine, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Rong SuDepartment of Laboratory Medicine, Foshan Hospital of Traditional Chinese Medicine, The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan, Guangdong, China. fstcmsurong@163.com.ORCID http://orcid.org/0009-0008-8279-0961

Funding

Guang Dong Basic and Applied Basic Research Foundation of China 2022A1515220156Medical Research Project of Foshan Health Bureau 20240720A010254the Medical Research Project of Foshan Science and Technology Bureau 2220001005517
6 · The paper itself

Abstract

objectiveRheumatoid arthritis (RA) is frequently treated with traditional Chinese medicine (TCM), where patients are classified into distinct syndromes, such as heat-dampness syndrome (HD) and kidney-liver deficiency syndrome (KLD). However, an objective and systematic approach to differentiate these TCM syndromes remains lacking. This study is aimed at analyzing serum metabolomics to identify differential metabolites and pathways associated with HD and GS syndromes in RA patients and at evaluating their potential as diagnostic biomarkers.

methodsSerum samples from RA patients classified into HD and KLD groups were analyzed using metabolomics. Partial least squares discriminant analysis was employed to identify significant metabolites, while pathway analysis was conducted using the Kyoto Encyclopedia of Genes and Genomes database. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic potential of key metabolites.

resultsFifteen differential metabolites and two perturbed pathways-sphingolipid and D-amino acid metabolism-were identified between the KLD and HD groups. Notably, several metabolites, including C17-sphinganine and leucyl-alanine, demonstrated high diagnostic efficacy, with area under the curve (AUC) values exceeding 0.90. Correlation analysis revealed significant associations between certain metabolites and clinical indices, further substantiating their role in syndrome differentiation.

conclusionThis study presents a comprehensive analysis of serum metabolites in RA patients under different TCM syndromes. The identified metabolites hold potential as biomarkers for distinguishing HD and KLD groups, paving the way for more objective and evidence-based diagnostic approaches in TCM. Key Points • Differential metabolites were identified in the serum of RA patients with heat-dampness syndrome and kidney-liver deficiency syndrome, with their metabolic pathways primarily involving sphingolipid metabolism and D-amino acid metabolism. • Serum metabolites demonstrate high efficacy in distinguishing RA patients with different TCM syndromes. • Significant correlations were observed between serum differential metabolites and clinical indicators in RA patients with varying TCM syndromes.

Indexed as

Arthritis, RheumatoidMedicine, Chinese TraditionalMetabolomicsAdultAgedBiomarkersDiagnosis, DifferentialFemaleHumansMaleMiddle AgedROC CurveSyndromeBiomarkersBiomarkersHeat-dampness syndromeKidney-liver deficiency syndromeMetabolomicsRheumatoid arthritisTraditional Chinese medicine·

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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.