Fig. 9 | Scientific Reports

Fig. 9

From: A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis

Fig. 9

Expression profile of candidate biomarkers in patients with PTB + T2DM. (A) Inflammation array results presented as means ± SD of triplicate experiments; *P < 0.05, **P < 0.01, ***P < 0.001. Each cytokine has four wells on the assay plate, allowing the collection of four valid signal density val-ues. Statistical analysis of these density values enables a comparative assessment of the selected cyto-kine’s concentration changes across these four groups. (B–E) Results of ELISA (B), RT-qPCR (C), and WB (D, E) analyses showing upregulation of C1QA, MMP8, and MMP9 expression at the mRNA and protein levels in PTB + T2DM patients. Data in graphs shown in B, C, and E expressed as mean values (bars) ± standard error of the mean (error bars) of representative serum samples (n = 3) from each treatment group. Each experiment was repeated three times using three serum samples per group. Differences between means were compared using an two-tailed unpaired t-test for each marker; *P < 0.05; **P < 0.01; ***P < 0.001.

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