ArticleScientific reports2025
A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Machine-Learning-Derived, Mechanistically Informed Transcriptomic Signature to Diagnose Active Tuberculosis and Guide Host-Directed Therapy.Diagnostics (Basel, Switzerland) · 2026Article
- Diagnostic and prognostic value of LINC00278 in patients with severe pneumonia and its regulatory role.Journal of inflammation (London, England) · 2026Article
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6 authors.
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Abstract
Type 2 diabetes (T2DM) co-existing with pulmonary tuberculosis (PTB) is associated with increased rates of treatment failure and mortality. Therefore, greater understanding of the occurrence and prevalence of this comorbidity and research to address the prevention and treatment of PTB in patients with T2DM (PTB + T2DM) have become paramount. Weighted gene co-expression network analysis (WGCNA) and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were employed to identify key gene modules and functions related to PTB + T2DM. Immune cell infiltration and drug sensitivity were compared between PTB + T2DM patients and healthy controls (HCs), with a bioinformatic approach. Several key genes were chosen for in vitro expression assays using quantitative real-time PCR (qRT-PCR), western blotting (WB), and enzyme-linked immunosorbent assay (ELISA). Compared to HCs and T2DM-only patients, PTB + 2DM patients showed upregulated expression of complement component C1q. WGCNA identified five crucial genes associated with PTB + T2DM: C1QA, CD248, LINC00278, MMP8, and MMP9. Multiscale embedded gene co-expression network analysis further identified FN1. The main KEGG pathways in PTB + T2DM patients were related to extracellular matrix-receptor interaction, the interleukin-17 signaling pathway, the AGE-RAGE signaling pathway in diabetic complications, the PI3K-Akt signaling pathway, and neutrophil extracellular trap formation. Receiver operating characteristic (ROC) analysis indicated that CD248, MMP8, MMP9, LINC00278, and C1QA have potential as diagnostic markers for PTB + T2DM. The expression levels of C1QA, LINC00278, MMP8, and MMP9 were significantly higher, and that of CD248 was significantly lower, in PTB + T2DM patients than in HCs. A network comprising highly correlated hub genes and microRNAs revealed the following interactions: C1QA with hsa-miR-363-5p, hsa-miR-671-5p, and hsa-miR-25-5p; CD248 with COL1 A2, COL1 A1, and COL4 A1; MMP8 with hsa-miR-539-5p, MMP9, and CEACAM8; and MMP9 with FN1, MMP8, hsa-miR-29b-3p, hsa-miR-942-3p, hsa-miR-302-5p, and hsa-miR-133a-5p. Seven drugs (ERK_440_1713, JAK_8517_1739, Palbociclib_1054, PLX.4720_1036, Savolitinib_1936, Selumetinib_1736, and VX.11e_2096) exhibited significant sensitivity in patients with high-expression or low-expression of C1QA. ELISA, qRT-PCR, and WB analyses confirmed the upregulated expression of C1QA, MMP8, and MMP9 in the peripheral blood of PTB + T2DM patients. This study elucidated the intricate molecular connections between PTB and T2DM and identified potential shared targets. Five genes (C1QA, MMP8, MMP9, CD248, and LINC00278) have potential as diagnostic markers for PTB + T2DM, and three genes (C1QA, MMP8, and MMP9) were upregulated in the peripheral blood of PTB + T2DM patients. Our findings may serve as a valuable reference for future research and clinical applications.
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