Research Paper Volume 16, Issue 20 pp 13076—13103
A lactate metabolism-related gene signature to diagnose osteoarthritis based on machine learning combined with experimental validation
Figure 8. Experimental validation in the clinical samples and cellular experiments. (A, B) The expression levels of SLC2A1 (A) and NDUFB9 (B) in the 12 control and 12 OA samples collected from the local hospital. (C, D) The levels of SLC2A1 (C) and NDUFB9 (D) were down-regulated in the OA tissues. (E) The diagnostic performance of SLC2A1 and NDUFB9 in the local cohort. (F) SLC2A1 and NDUFB9 were both down-regulated in the CHON-001 cells treated with IL-1beta. (G) Two different siRNAs were used to construct the NDUFB9-knockdown CHON-001 cells. (H) The proliferation rate was inhibited in the NDUFB9-knockdown CHON-001 cells. (I) The CHON-001 cells with the knockdown of NDUFB9 showed higher levels of apoptosis after the IL-1beta treatment. *P < 0.05; **P < 0.01.