Frontiers in Endocrinology | |
Machine learning identifies ferroptosis-related genes as potential diagnostic biomarkers for osteoarthritis | |
Endocrinology | |
Junpu Huang1  Jun Yao1  Meimei Xiao1  Yue Qiu1  Zhenpei Wen1  Lin Li1  Jinzhi Meng1  Xing Huang1  Yang Cai1  Miaomiao Zhu2  Xingqing Long2  Siyuan Chen2  Jingqi Li2  | |
[1] Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China;First Clinical Medical College, Guangxi Medical University, Nanning, China; | |
关键词: osteoarthritis; ferroptosis; immune infiltration; targeted therapy; machine learning; | |
DOI : 10.3389/fendo.2023.1198763 | |
received in 2023-04-02, accepted in 2023-05-25, 发布年份 2023 | |
来源: Frontiers | |
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【 摘 要 】
BackgroundOsteoarthritis (OA) is one of the most common forms of degenerative arthritis and a major cause of pain and disability. Ferroptosis, a novel mode of cell death, has been verified to participate in the development of OA, but its mechanism is still unclear. This paper analyzed the ferroptosis-related genes (FRGs) in OA and explored their potential clinical value.MethodsWe downloaded data through the GEO database and screened for DEGs. Subsequently, FRGs were obtained using two machine learning methods, LASSO regression and SVM-RFE. The accuracy of the FRGs as disease diagnosis was identified using ROC curves and externally validated. The CIBERSORT analyzed the immune microenvironment rug regulatory network constructed through the DGIdb. The competitive endogenous RNA (ceRNA) visualization network was constructed to search for possible therapeutic targets. The expression levels of FRGs were verified by qRT-PCR and immunohistochemistry.ResultsIn this study, we found 4 FRGs. The ROC curve showed that the combined 4 FRGs had the highest diagnostic value. Functional enrichment analysis showed that the 4 FRGs in OA could influence the development of OA through biological oxidative stress, immune response, and other processes. qRT-PCR and immunohistochemistry verified the expression of these key genes, further confirming our findings. Monocytes and macrophages are heavily infiltrated in OA tissues, and the persistent state of immune activation may promote the progression of OA. ETHINYL ESTRADIOL was a possible targeted therapeutic agent for OA. Meanwhile, ceRNA network analysis identified some lncRNAs that could regulate the FRGs.ConclusionWe identify 4 FRGs (AQP8, BRD7, IFNA4, and ARHGEF26-AS1) closely associated with bio-oxidative stress and immune response, which may become early diagnostic and therapeutic targets for OA.
【 授权许可】
Unknown
Copyright © 2023 Qiu, Yao, Li, Xiao, Meng, Huang, Cai, Wen, Huang, Zhu, Chen, Long and Li
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