Aga Khan University researchers collected peripheral blood cell data from health endemic controls, latent tuberculosis infection cases, diabetics with and without latent infection, and tuberculosis patients. The dataset includes mycobacterial antigen-stimulated cytokine secretion levels measured via a Th1/Th2 11-plex assay and gene expression data for IFNγ, TNFα, IL6, and SOCS3 determined by reverse-transcription PCR. The study investigates the immune mechanisms linking type 2 diabetes mellitus to worsened tuberculosis outcomes.
Use Cases
- Compare cytokine secretion profiles (IL-6, IL-2, TNFα, GM-CSF, IL-13) between diabetic and non-diabetic tuberculosis patients.
- Analyze the relationship between SOCS3 mRNA levels and progression from latent to active tuberculosis infection.
- Investigate gene expression patterns (IFNγ, TNFα, IL6, SOCS3) in peripheral blood cells across different patient cohorts.
Strengths
- Includes data from multiple distinct patient cohorts (health endemic controls, latent TB cases, diabetics with/without latent TB, TB patients).
- Measures both protein-level cytokine secretion and mRNA-level gene expression for key immune markers.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Aga Khan University
- Collection Method
- Laboratory analysis of peripheral blood cells from patient cohorts.