ArticleScientific reports2023
A multi-center, prospective cohort study of whole blood gene expression in the tuberculosis-diabetes interaction.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Type 2 diabetes mellitus associated microRNAs in tuberculosis susceptibility: a systematic review and bioinformatic analysis.Frontiers in endocrinology · 2026Pooled it
- Single-Cell Immune Atlases to Map Small Extracellular Vesicle Cargo in Tuberculosis-Diabetes Comorbidity: A Narrative Review and Conceptual Roadmap.International journal of molecular sciences · 2026Review
- Molecular Epidemiology ofMicroorganisms · 2025Review
- Pattern recognition receptor-associated immuno-thrombotic transcript changes in platelets and leukocytes with COVID19.PLoS pathogens · 2025Article
- A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis.Scientific reports · 2025Article
- Identification of biomarkers and construction of discriminating model for tuberculosis patients with diabetes mellitus based on proteomics: a cross-sectional study.Frontiers in immunology · 2025Article
- Article
- Intersecting epidemics: deciphering the complexities of tuberculosis-diabetes comorbidity.Frontiers in tuberculosis · 2024Review
- Alterations of lipid-related genes during anti-tuberculosis treatment: insights into host immune responses and potential transcriptional biomarkers.Frontiers in immunology · 2023Article
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Authors and funding
19 authors at 14 institutions in 4 countries.
Funding
Abstract
Diabetes mellitus (DM) increases tuberculosis (TB) severity. We compared blood gene expression in adults with pulmonary TB, with or without diabetes mellitus (DM) from sites in Brazil and India. RNA sequencing (RNAseq) performed at baseline and during TB treatment. Publicly available baseline RNAseq data from South Africa and Romania reported by the TANDEM Consortium were also analyzed. Across the sites, differentially expressed genes varied for each condition (DM, TB, and TBDM) and no pattern classified any one group across all sites. A concise signature of TB disease was identified but this was expressed equally in TB and TBDM. Pathway enrichment analysis failed to distinguish TB from TBDM, although there was a trend for greater neutrophil and innate immune pathway activation in TBDM participants. Pathways associated with insulin resistance, metabolic dysfunction, diabetic complications, and chromosomal instability were positively correlated with glycohemoglobin. The immune response to pulmonary TB as reflected by whole blood gene expression is substantially similar with or without comorbid DM. Gene expression pathways associated with the microvascular and macrovascular complications of DM are upregulated during TB, supporting a syndemic interaction between these coprevalent diseases.
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