Identification of aging-related genes in diagnosing osteoarthritis via integrating bioinformatics analysis and machine learning

Jian Huang; Jiangfei Zhou; Xiang Xue; Tianming Dai; Weicong Zhu; Songsong Jiao; Hang Wu; Qingqi Meng

doi:doi:10.18632/aging.205357

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Research Paper Volume 16, Issue 1 pp 153—168

Identification of aging-related genes in diagnosing osteoarthritis via integrating bioinformatics analysis and machine learning

Figure 9. The qRT-PCR method was used to detect the mRNA expression levels of four hub DEARGs. Compared with the normal group, the mRNA expression levels of HMGB2, CDKN1A, and JUN were significantly lower in the OA group. There is no statistical difference in DDIT3 mRNA expression levels between the normal and OA groups.