ArticleiScience2026
Multidimensional cfRNA response modeling identifies a 5-gene pair signature for high-robust pulmonary tuberculosis diagnosis.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Host-response biomarkers for precision tuberculosis: from immune transcriptomic signatures to clinical risk stratification.Frontiers in cell and developmental biology · 2026Review
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8 authors.
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Abstract
Lack of non-invasive biomarkers hinders pulmonary tuberculosis (PTB) management. We developed a multidimensional machine learning framework to systematically evaluate five cell-free RNA (cfRNA)-derived host response modalities: immune cell infiltration, global transcriptional perturbation (expression- and rank-based), key genes, and gene pairs. While immune-cell and global perturbation models showed moderate efficacy, an optimized 5-gene pair classifier demonstrated robust diagnostic power. This signature achieved an AUC of 0.947 in the validation subset derived from the parent study and maintained 100% sensitivity (95% CI: 0.741-1.000) in HIV-coinfected individuals. Model scores correlated significantly with bacterial load (
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