# Type 2 diabetes mellitus associated microRNAs in tuberculosis susceptibility: a systematic review and bioinformatic analysis

**Authors:** Rodolfo L. Chávez-Domínguez, Mercedes Viettri, Martha Torres, Itzel A. Corona-Galvan, Emilio Hernández-Diego, Mauricio Castañón-Arreola, Claudia Carranza

PMC · DOI: 10.3389/fendo.2026.1760933 · Frontiers in Endocrinology · 2026-02-23

## TL;DR

This study explores how certain microRNAs are linked to both tuberculosis and type 2 diabetes, offering potential biomarkers for understanding and managing these coexisting diseases.

## Contribution

The paper identifies shared microRNAs and their target genes that connect immune and metabolic pathways in tuberculosis and type 2 diabetes.

## Key findings

- Nine miRNAs were found to be dysregulated in both tuberculosis and type 2 diabetes.
- These miRNAs target key genes involved in insulin signaling, inflammation, and metabolism.
- The findings suggest potential biomarkers for diagnosis and treatment in populations with both diseases.

## Abstract

The coexistence of tuberculosis (TB) and type 2 diabetes mellitus (T2DM) represents a growing global health challenge, particularly in low- and middle-income countries where TB remains endemic and T2DM prevalence is rising. Patients with T2DM exhibit a threefold higher risk of developing active TB and frequently present with more severe disease, including increased bacillary burden, delayed culture conversion, and higher relapse rates. These outcomes reflect the complex immunometabolic interactions between the two conditions. MicroRNAs (miRNAs), small non-coding regulators of post-transcriptional gene expression, emerge as potential biomarkers capable of integrating immune and metabolic processes.

we conducted a systematic review of studies published between 2011 and 2025 in PubMed and Google Scholar, following PRISMA 2020 guidelines. Only studies involving adult human samples were included. Dysregulated miRNAs were standardized using miRBase and analyzed with miRNet v2.0, miRTarBase v9.0, and DIANA-miRPath v3.0. Interaction networks were constructed in Cytoscape, and functional enrichment analyses were performed using ClusterProfiler and MSigDB to identify shared pathways and gene targets.

The analysis revealed a set of miRNAs altered in both TB and T2DM, including hsa-miR-21, hsa-miR-29a-3p, hsa-miR-125a-5p, hsa-miR-125b, hsa-miR-130b, hsa-miR-144, hsa-miR-155, hsa-miR-223, and hsa-miR-486. These miRNAs converge on central target genes such as STAT3, PTEN, BCL2, MYC, RAF1, EGFR, IRS1, SMAD4, FOXO3, GLUT4, AKT1, and CTNNB1, regulating pathways of insulin signaling, glucose metabolism, apoptosis, inflammation, and fibrosis.

Shared miRNAs act as molecular nodes linking immunity and metabolism, providing a framework for biomarker development in TB-T2DM comorbidity. Their regulatory convergence suggests potential applications in diagnosis, prognosis, and therapeutic innovation, particularly in vulnerable populations where both diseases intersect. These findings underscore the importance of integrating immunometabolic biomarkers into personalized medicine strategies to address the dual burden of TB and T2DM.

## Linked entities

- **Genes:** STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774], PTEN (phosphatase and tensin homolog) [NCBI Gene 5728], BCL2 (BCL2 apoptosis regulator) [NCBI Gene 596], MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609], RAF1 (Raf-1 proto-oncogene, serine/threonine kinase) [NCBI Gene 5894], EGFR (epidermal growth factor receptor) [NCBI Gene 1956], IRS1 (insulin receptor substrate 1) [NCBI Gene 3667], SMAD4 (SMAD family member 4) [NCBI Gene 4089], FOXO3 (forkhead box O3) [NCBI Gene 2309], SLC2A4 (solute carrier family 2 member 4) [NCBI Gene 6517], AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207], CTNNB1 (catenin beta 1) [NCBI Gene 1499]
- **Diseases:** tuberculosis (MONDO:0018076), type 2 diabetes mellitus (MONDO:0005148)

## Full-text entities

- **Genes:** AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, Mir128-1 (microRNA 128-1) [NCBI Gene 387147] {aka Mirn128, Mirn128-1, Mirn128a, mir-128-1}, JUN (Jun proto-oncogene, AP-1 transcription factor subunit) [NCBI Gene 3725] {aka AP-1, AP1, c-Jun, cJUN, p39}, MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609] {aka MRTL, MYCC, bHLHe39, c-Myc}, STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774] {aka ADMIO, ADMIO1, APRF, HIES}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, MIR144 (microRNA 144) [NCBI Gene 406936] {aka MIRN144, mir-144}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, DICER1 (dicer 1, ribonuclease III) [NCBI Gene 23405] {aka DCR1, Dicer, Dicer1e, GLOW, HERNA, K12H4.8-LIKE}, CFL2 (cofilin 2) [NCBI Gene 1073] {aka NEM7}, MIR130B (microRNA 130b) [NCBI Gene 406920] {aka MIRN130B, mir-130b}, MIR192 (microRNA 192) [NCBI Gene 406967] {aka MIRN192, miR-192, miRNA192}, NFKB1 (nuclear factor kappa B subunit 1) [NCBI Gene 4790] {aka CVID12, EBP-1, KBF1, NF-kB, NF-kB1, NF-kappa-B1}, MIR425 (microRNA 425) [NCBI Gene 494337] {aka MIRN425, hsa-mir-425, mir-425}, MIR486-1 (microRNA 486-1) [NCBI Gene 619554] {aka MIR486, MIRN486, hsa-mir-486, hsa-mir-486-1, mir-486-1}, ICAM1 (intercellular adhesion molecule 1) [NCBI Gene 3383] {aka BB2, CD54, P3.58}, MIR155 (microRNA 155) [NCBI Gene 406947] {aka MIRN155, miRNA155, mir-155}, Mir19b-2 (microRNA 19b-2) [NCBI Gene 387195] {aka Mirn19b, Mirn19b-2, miR-19b, mir-19b-2}, TP53 (tumor protein p53) [NCBI Gene 7157] {aka BCC7, BMFS5, LFS1, P53, TRP53}, IRS1 (insulin receptor substrate 1) [NCBI Gene 3667] {aka HIRS-1}, PTEN (phosphatase and tensin homolog) [NCBI Gene 5728] {aka 10q23del, BZS, CWS1, DEC, GLM2, MHAM}, SMAD4 (SMAD family member 4) [NCBI Gene 4089] {aka DPC4, JIP, MADH4, MYHRS}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, CDK6 (cyclin dependent kinase 6) [NCBI Gene 1021] {aka MCPH12, PLSTIRE}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, MIR223 (microRNA 223) [NCBI Gene 407008] {aka MIRN223, miRNA223, mir-223}, CHD1 (chromodomain helicase DNA binding protein 1) [NCBI Gene 1105] {aka CHD-1, PILBOS}, BCL2 (BCL2 apoptosis regulator) [NCBI Gene 596] {aka Bcl-2, PPP1R50}, SMAD2 (SMAD family member 2) [NCBI Gene 4087] {aka CHTD8, JV18, JV18-1, LDS6, MADH2, MADR2}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, VCAM1 (vascular cell adhesion molecule 1) [NCBI Gene 7412] {aka CD106, INCAM-100}, CCND2 (cyclin D2) [NCBI Gene 894] {aka KIAK0002, MPPH3}, MIR122 (microRNA 122) [NCBI Gene 406906] {aka MIR122A, MIRN122, MIRN122A, hsa-mir-122, miRNA122, miRNA122A}, SLC2A4 (solute carrier family 2 member 4) [NCBI Gene 6517] {aka GLUT4}, CTNNB1 (catenin beta 1) [NCBI Gene 1499] {aka CTNNB, EVR7, MRD19, NEDSDV, armadillo}, LIN28B (lin-28 RNA binding posttranscriptional regulator B) [NCBI Gene 389421] {aka CSDD2}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, SELE (selectin E) [NCBI Gene 6401] {aka CD62E, ELAM, ELAM1, ESEL, LECAM2, selectin-e}, RAF1 (Raf-1 proto-oncogene, serine/threonine kinase) [NCBI Gene 5894] {aka CMD1NN, CRAF, NS5, Raf-1, c-Raf}, SLC2A1 (solute carrier family 2 member 1) [NCBI Gene 6513] {aka CSE, DYT17, DYT18, DYT9, EIG12, GLUT}, Stat3 (signal transducer and activator of transcription 3) [NCBI Gene 20848] {aka 1110034C02Rik, Aprf}, FOXO3 (forkhead box O3) [NCBI Gene 2309] {aka AF6q21, FKHRL1, FKHRL1P2, FOXO2, FOXO3A}, EGFR (epidermal growth factor receptor) [NCBI Gene 1956] {aka ERBB, ERBB1, ERRP, HER1, NISBD2, NNCIS}, MIR21 (microRNA 21) [NCBI Gene 406991] {aka MIRN21, hsa-mir-21, miR-21, miRNA21}, MIR126 (microRNA 126) [NCBI Gene 406913] {aka MIRN126, miRNA126, mir-126}, HIF1A (hypoxia inducible factor 1 subunit alpha) [NCBI Gene 3091] {aka HIF-1-alpha, HIF-1A, HIF-1alpha, HIF1, HIF1-ALPHA, MOP1}, CDK4 (cyclin dependent kinase 4) [NCBI Gene 1019] {aka CMM3, MCPH31, PSK-J3}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, MIR9-3 (microRNA 9-3) [NCBI Gene 407051] {aka MIRN9-3, hsa-mir-9-3, miRNA9-3, mir-9-3}, MIR146A (microRNA 146a) [NCBI Gene 406938] {aka MIRN146, MIRN146A, miR-146a, miRNA146A}, CDH1 (cadherin 1) [NCBI Gene 999] {aka Arc-1, BCDS1, CD324, CDHE, ECAD, LCAM}, MIR29A (microRNA 29a) [NCBI Gene 407021] {aka MIRN29, MIRN29A, hsa-mir-29, hsa-mir-29a, miRNA29A, mir-29a}, NAA50 (N-alpha-acetyltransferase 50, NatE catalytic subunit) [NCBI Gene 80218] {aka MAK3, NAT13, NAT13P, NAT5, NAT5P, SAN}
- **Diseases:** Hyperglycemia (MESH:D006943), fibrosis (MESH:D005355), inflammation (MESH:D007249), tumor (MESH:D009369), diabetes (MESH:D003920), lung damage (MESH:D008171), pancreatic beta cell dysfunction (MESH:D010195), lung tissue damage (MESH:D055370), DM2 (MESH:D009223), prediabetes (MESH:D011236), hypoxic (MESH:D002534), vascular complications (MESH:D003925), cachexia (MESH:D002100), metabolic (MESH:D008659), hypoxia (MESH:D000860), diabetic complications (MESH:D048909), deaths (MESH:D003643), diabetic retinopathy (MESH:D003930), endocrine disturbances (MESH:D004700), immune dysfunction (MESH:D007154), infected (MESH:D007239), pulmonary TB (MESH:D014397), Impaired insulin secretion (MESH:D007333), T2DM (MESH:D003924), TB (MESH:D014376), granuloma (MESH:D006099), necrosis (MESH:D009336), infectious (MESH:D003141), chronic (MESH:D002908)
- **Chemicals:** DFO (MESH:D003676), glycogen (MESH:D006003), C-peptide (MESH:D002096), reactive oxygen and nitrogen species (-), methylglyoxal (MESH:D011765), MGO (MESH:D008277), lipid (MESH:D008055), glucose (MESH:D005947)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Mycobacterium tuberculosis (species) [taxon 1773], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12967966/full.md

## References

128 references — full list in the complete paper: https://tomesphere.com/paper/PMC12967966/full.md

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Source: https://tomesphere.com/paper/PMC12967966