Identification of aging-related biomarkers and immune infiltration characteristics in osteoarthritis based on bioinformatics analysis and machine learning

202374 citationsJournal Articlegold Open Access

Authors

JiangFei Zhou · Jinan University

Jian Huang · The Central Hospital of Xiao gan

Zhiwu Li

QiHe Song · The Central Hospital of Xiao gan

Zhenyu Yang · Jinan University

Lu Wang · The Central Hospital of Xiao gan

Qingqi Meng · Jinan University

Abstract

Synovial aging may promote the progression of OA by inducing immune inflammation. MCL1, SIK1, JUND, NFKBIA, and JUN can be used as novel diagnostic biomolecular markers and potential therapeutic targets for OA.

Topics & Keywords

Osteoarthritis Treatment and Mechanisms Inflammatory mediators and NSAID effects Cancer-related molecular mechanisms research

Publication Details

Published in: Frontiers in Immunology

Volume 14, pp. 1168780-1168780

DOI: 10.3389/fimmu.2023.1168780

Field-Weighted Citation Impact: 19.80

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Identification of aging-related biomarkers and immune infiltration characteristics in osteoarthritis based on bioinformatics analysis and machine learning

Authors

Abstract

Topics & Keywords

Publication Details