Inflammatory biomarkers of asymptomatic and symptomatic tuberculosis
Nature Communications·
- DOI
- 10.1038/s41467-026-75909-6
- PMID
- 42649201
- PMCID
- —
- OpenAlex
- W4415678783
- Study type
- Journal article
- Publisher
- Springer Science and Business Media LLC
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings suggest that biomarkers developed for symptomatic tuberculosis triage should not be directly adopted for community-based asymptomatic screening without additional optimization.
Structured evidence summary
Research question
The study examined whether blood transcriptomic and proteomic profiles differ between asymptomatic and symptomatic tuberculosis cases identified through community screening versus health facility triage.
Study design
The study compared blood transcriptomic and proteomic profiles between South African community screening and health facility-based triage cohorts.
Population and setting
Participants were drawn from South African community screening cohorts and health facility-based triage settings.
Main findings
Asymptomatic tuberculosis shared core blood molecular features with symptomatic disease, including upregulation of innate, interferon, and inflammatory pathways and downregulation of lymphocyte pathways. Two distinct sub-clusters among asymptomatic cases were characterized by differences in bacterial burden, interferon-gamma responses, body mass index, and radiographic findings. A novel blood transcriptomic signature for asymptomatic tuberculosis was identified, though diagnostic performance of both transcriptomic and proteomic markers was weaker for asymptomatic than symptomatic disease.
Public-health relevance
The findings suggest that biomarkers developed for symptomatic tuberculosis triage should not be directly adopted for community-based asymptomatic screening without additional optimization.
Important limitations
This summary relies on the supplied single-article abstract and metadata. Full interpretation of study limitations, including details of cohort selection, sample size, validation approaches, and generalizability requires review of the complete published article.
GIDS interpretation
This article would be discoverable through disease-specific queries for tuberculosis, country filters for South Africa, and topic filters for diagnostics or health policy within surveillance platforms that index peer-reviewed infectious disease literature.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.