ArticleTuberculosis (Edinburgh, Scotland)2026
Investigation of sputum volatiles to classify active tuberculosis: A pilot study.
Article in Tuberculosis (Edinburgh, Scotland), 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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Abstract
Tuberculosis (TB) remains a major global health challenge due in part to limitations in rapid and affordable diagnostics. Current diagnostic methods are time-intensive and often inaccessible in resource-limited settings, emphasizing the urgent need for rapid, low-cost screening approaches. One promising strategy involves the analysis of volatile molecules associated with TB-infection. In this study (n = 100) we identify 14 sputum-derived volatiles and utilize them to construct a machine learning model that classifies samples by TB status with a sensitivity of 90% and a specificity of 86% across cross-validation folds. The resulting profile provides a foundation for further biomarker validation studies with an expanded sample size and the development of non-invasive breath diagnostics.
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