Identification of basement membrane-related biomarkers associated with the diagnosis of osteoarthritis based on machine learning

BMC Medical Genomics

Research

Zhibiao Bai¹  Xiaojing Huang¹  Liangyan Chen²  Hongming Meng²  Jiahuan Yu²  Chun Chen³  Kai Hu⁴  Zeyu Shou⁴  Han Zhou⁴ 

[1] Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou City, Zhejiang Province, China;Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou City, Zhejiang Province, China;Wenzhou Medical University, 325000, Wenzhou City, Zhejiang Province, China;Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou City, Zhejiang Province, China;Wenzhou Medical University, 325000, Wenzhou City, Zhejiang Province, China;Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province, 325000, Wenzhou, Zhejiang, China;Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization, 325000, Wenzhou, Zhejiang, China;Wenzhou Medical University, 325000, Wenzhou City, Zhejiang Province, China;

关键词: Osteoarthritis;    Immune;    Machine learning;    Basement membranes;    Biological marker;   

DOI  :  10.1186/s12920-023-01601-z

 received in 2023-01-09, accepted in 2023-07-05,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundOsteoarthritis is a very common clinical disease in middle-aged and elderly individuals, and with the advent of ageing, the incidence of this disease is gradually increasing. There are few studies on the role of basement membrane (BM)-related genes in OA.MethodWe used bioinformatics and machine learning methods to identify important genes related to BMs in OA patients and performed immune infiltration analysis, lncRNA‒miRNA-mRNA network prediction, ROC analysis, and qRT‒PCR.ResultBased on the results of machine learning, we determined that LAMA2 and NID2 were the key diagnostic genes of OA, which were confirmed by ROC and qRT‒PCR analyses. Immune analysis showed that LAMA2 and NID2 were closely related to resting memory CD4 T cells, mast cells and plasma cells. Two lncRNAs, XIST and TTTY15, were simultaneously identified, and lncRNA‒miRNA‒mRNA network prediction was performed.ConclusionLAMA2 and NID2 are important potential targets for the diagnosis and treatment of OA.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

【 图 表 】

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