ABSTRACT
Objective @#To use the GEO dataset and bioinformatics techniques , such as LASSO logistic regression , ssGSEA , and WGCNA , to screen for RA diagnostic markers and investigate the impact of earthly flavonoids in Smi lax glabra Roxb . on specific immune cell infiltration , to screen for rheumatoid arthritis (RA) diagnostic markers on specific immune cell infiltration and to analyze the combination of flavonoids in Smilax glabra Roxb . and diagnostic markers . @*Methods @#The normal control group and RA gene chip were obtained from the Gene Expression Omnibus database . The R 4.3.0 WGCNA software package was used to integrate and analyze the dataset , identify co-expression modules and associated trait information , and screen key modules closely related to RA . LASSO regression a nalysis was performed using the glmnet package in R to identify characteristic genes for RA . The area under the receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of the characteristic genes in RA . The gene expression data of the normal control group and RA group were subjected to quantitative immune cell infiltration analysis using the GSVA , limma , and GSEABase packages in R. The chemical components of earth worm flavonoids in Smilax glabra Roxb . were analyzed based on UHPLC-Q-Exactive Orbitrap MS . The correlation between flavonoids and characteristic genes was assessed through molecular docking. @*Results @#The LASSO regres sion algorithm selected 5 characteristic genes ( apolipoprotein D , zinc finger and BTB domain containing 16 , C-C chemokine receptor type 5 , matrix metalloproteinase 1 , coronin-1A) . The area under ROC curve of all 5 character istic genes was greater than 0. 85 , which exhibited positive correlations with various immune cells . Twenty earth worm flavonoids of Smilax glabra Roxb . were identified using UHPLC-Q-Exactive/MS , and Mulberrin and Neobavaisoflavone were well combined with 5 immune characteristic genes . @*Conclusion @# Flavonoids compounds of Smilax glabra Roxb . have good combination with RA immune characteristic genes , providing a scientific basis for RA immunomodulation therapy and early diagnosis .