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Objective:To explore pathogenesis,characteristic genes and immune infiltration of rheumatoid arthritis(RA)by bioinformatics and machine learning methods,and to find correlation between characteristic genes and immune cells.Methods:Chips related to RA were obtained from GEO database,gene differences were analyzed by R language,and GO and KEGG were enriched and analyzed;machine learning methods,namely LASSO regression and SVM-RFE were used to screen disease characteristic genes,ROC curve and sample chips were used to detect accuracy of characteristic genes,CIBERPORT algorithm was used to analyze immune infiltration of RA,and correlation between characteristic genes and immune cells was analyzed.Results:A total of 90 differen-tial genes were obtained from GSE12021 and GSE55235,including 64 up-regulated and 26 down-regulated differentially expressed genes.A total of 209 main items were obtained by GO analysis,mainly involving leukocyte activation,lymphocyte activation,B-cell receptor signaling pathway,etc;KEGG analysis showed that chemokine signaling pathway,IL-17 signaling pathway,Toll-like recep-tor signaling pathway and PPAR signaling pathway were closely related to RA;ten key genes such as IGHM,SLAMF8,CXCL10,FNDC4,AIM2,EGR1 and AKR1B10 were screened by mechanical learning method.Disease characteristic genes were IGHM,SLAMF8,CXCL10,AIM2 and AKR1B10 by ROC curve and sample chip;immune infiltration results showed that there were signifi-cant differences between synovial tissues of RA and normal tissues in 9 kinds of immune cells,such as plasma cells,CD8 T cell,CD4 T cell and T cell follicle helper.By analyzing correlation between disease characteristic genes and immune cells,it was found that there were significant correlations between 5 characteristic genes and some immune cells.Conclusion:There is a significant correla-tion between characteristic genes and immune cells of RA,which provides a preliminary basis for follow-up in-depth study of targeted diagnosis and treatment of RA.
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BACKGROUND: In recent years, with the deepening of medical research, it has been found that PI3K/AKT signaling pathway has a regulatory effect on vascular repair regeneration, osteoblast differentiation and proliferation, and osteoclast bone differentiation. This is very important for the treatment of femoral head necrosis. OBJECTIVE: To provide a brief overview of the main research progress in mechanisms of PI3K/AKT signaling pathway regulating femoral head necrosis in recent years, aiming to provide new ideas for the treatment of osteonecrosis of the femoral head in the future. METHODS: PubMed and MEDLINE database, Wanfang, CNKI, WIPO and CBM database were searched from 2012 to 2019, for relevant domestic and foreign literatures, including: (1) epidemiological study of osteonecrosis of the femoral head and related pathogenesis; (2) PI3K/AKT pathway related mechanism; (3) research literature on the effects of PI3K/AKT on factors related to vascular repair and regeneration; (4) research literature on the regulation of PI3K/AKT on osteoblast differentiation and proliferation-related factors; (5) literature on the regulation of PI3K/AKT on functional factors related to osteoclast differentiation. A total of 62 literatures were included for analysis and summary. RESULTS AND CONCLUSION: (1) The PI3K/AKT signaling pathway has been proven to be effective in the regulation of vascular repair regeneration, osteoblast differentiation, proliferation, apoptosis and osteoclast differentiation. After understanding these pathways, research and development of related drugs to improve the success rate of early conservative treatment of osteonecrosis of the femoral head have great development prospects and potential, opening up a new path for future orthopedic surgeons to treat osteonecrosis of the femoral head, and bringing new hope to patients and their families. (2) According to the different osteonecrosis of the femoral head conditions of patients, how to use PI3K/AKT signaling pathway to guide treatment becomes a breakthrough point and challenge of this technology, and more research is needed later.