Development of Biomarkers for Rheumatoid Arthritis and Prediction of Potential Therapeutic Traditional Chinese Medicines
Objective To predict the biomarkers of rheumatoid arthritis(RA)and potential therapeutic traditional Chinese medicines(TCMs)for RA.Methods The mRNA expression profiles of 33 RA patients(RA group)and 20 healthy individuals(HC group)were collected from the relevant datasets of GPL96 platform.The limma R package was used to screen differentially-expressed genes(DEGs),the Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses were performed for verification.Weighted gene co-expression network was constructed,and machine learning and other methods were used to screen potential core genes and biomarkers.The biomarkers were verified by the reverse transcription-polymerase chain reaction(RT-PCR)and Western blot.The potential TCMs for RA were predicted by the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP).Results CKAP2 was a potential biomarker for RA.The expression level of CKAP2 was significantly positively correlated with the CD8+ T lymphocytes,plasma cells and CD27 levels(P＜0.01).Eleven TCMs with potential therapeutic effects on RA were predicted,including Xanthii Fructus,Scutellariae Radix,Codonopsis Radix and so on.Conclusion CKAP2 is a candidate biomarker for early diagnosis of RA,and 11 TCMs such as Xanthii Fructus,Scutellariae Radix and Codonopsis Radix have potential therapeutic effects on RA.This study can provide new ideas for the research and development of TCMs for RA.
rheumatoid arthritisbiomarkerCKAP2traditional Chinese medicinespredictionGene Expression Omnibusimmune infiltration
万方数据
维普
