ReviewFrontiers in cell and developmental biology2026
Host-response biomarkers for precision tuberculosis: from immune transcriptomic signatures to clinical risk stratification.
Review in Frontiers in cell and developmental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Tuberculosis (TB) remains a major infectious cause of morbidity and mortality, while current diagnostic and treatment-monitoring pathways remain largely pathogen-centered. Microbiological tests are indispensable for confirming TB and detecting drug resistance, but they do not directly measure host inflammatory activity, disease-stage heterogeneity, risk of progression, biological response to therapy, or recurrence after treatment completion. Host-response biomarkers, particularly blood transcriptomic signatures, provide a complementary route toward precision TB medicine. Recent multicenter validation studies, household-contact cohorts, treatment-monitoring analyses, cell-free RNA profiling, single-cell studies, and recurrence cohorts have refined the translational evidence base for immune transcriptomic biomarkers. Across studies, active and progressive TB is characterized by interferon-inducible transcription, inflammatory myeloid remodeling, neutrophil and monocyte activation, antigen-specific T-cell activation, and partial normalization during effective therapy. These signals can support clinically relevant use cases, including sputum-independent triage of symptomatic patients, short-term prediction of progression among exposed contacts, identification of subclinical or incipient disease biology, treatment-response monitoring, and post-treatment recurrence detection. However, implementation is constrained by imperfect specificity against non-TB inflammation, heterogeneity across HIV, diabetes, pediatric, extrapulmonary and geographically diverse populations, assay standardization requirements, and limited interventional evidence. This Mini Review synthesizes recent evidence and proposes a focused translational framework linking immune transcriptomic mechanisms to actionable clinical risk stratification in TB.
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