Fig. 2 | Scientific Reports

Fig. 2

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

Fig. 2

Key genes of PTB + T2DM identified by WGCNA. Utilizing the publicly available dataset GSE181143, we employed WGCNA to identify and prioritize key gene modules closely associated with the progression of PTB in individuals with T2DM. This integrative approach allows for the systematic exploration of gene co-expression patterns, enabling the identification of biologically relevant gene modules that may serve as potential biomarkers or therapeutic targets for this complex disease phenotype. (A) Hierarchical clustering dendrogram for module identification. (B) Consensus eigengene networks. (C) Pearson’s correlation analysis. (D) Correlation analysis of PTB + T2DM and the MEgreenyellow gene module. (E) Venn intersection of the three sets of genes.

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