A novel serum four-biomarker biosignature and field-deployable colloidal gold strip for accurate identification of subclinical and active tuberculosis

Background Current TB diagnostics fail to detect subclinical and paucibacillary cases, hindering End TB Strategy goals. We validated a novel serum four-biomarker biosignature and developed a colloidal gold strip for accurate subclinical and active TB identification.Methods 280 participants (HC, PN, STB, ATB; n = 70 each) were enrolled. Serum PDGFC, CXCL9, CXCL11, and CCL1 were measured by ELISA in training (n = 200) and external validation (n = 80) cohorts. Six machine learning algorithms built diagnostic models. A four-plex colloidal gold strip with simplified visual criteria was developed and compared against smear, TB DNA, and IGRA.Results All biomarkers were significantly elevated in STB/ATB versus HC/PN (p < 0.001), confirming Mtb-specific responses. Logistic regression achieved 97.5% validation sensitivity. The strip using a ‘≥2 positive lines’ criterion yielded 96.0% sensitivity, 95.0% specificity, 95.5% accuracy, and outperformed conventional tests, effectively identifying smear-negative subclinical TB.Conclusions This biosignature is a robust TB diagnostic tool. The companion strip offers a rapid, sputum-free, instrument-minimal solution for decentralized screening, bridging biomarker discovery and field application in resource-limited settings.

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Publication Details

Journal
Expert Review of Molecular Diagnostics
Published
2026-10-09
DOI
https://doi.org/10.1080/14737159.2026.2744694
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
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article

A novel serum four-biomarker biosignature and field-deployable colloidal gold strip for accurate identification of subclinical and active tuberculosis

Jingyuan Feng, Duan Hongfei
Expert Review of Molecular Diagnostics
Tuberculosis Research and Epidemiology
article

A novel serum four-biomarker biosignature and field-deployable colloidal gold strip for accurate identification of subclinical and active tuberculosis

Jingyuan Feng, Duan Hongfei
article en

Abstract

Background Current TB diagnostics fail to detect subclinical and paucibacillary cases, hindering End TB Strategy goals. We validated a novel serum four-biomarker biosignature and developed a colloidal gold strip for accurate subclinical and active TB identification.Methods 280 participants (HC, PN, STB, ATB; n = 70 each) were enrolled. Serum PDGFC, CXCL9, CXCL11, and CCL1 were measured by ELISA in training (n = 200) and external validation (n = 80) cohorts. Six machine learning algorithms built diagnostic models. A four-plex colloidal gold strip with simplified visual criteria was developed and compared against smear, TB DNA, and IGRA.Results All biomarkers were significantly elevated in STB/ATB versus HC/PN (p < 0.001), confirming Mtb-specific responses. Logistic regression achieved 97.5% validation sensitivity. The strip using a ‘≥2 positive lines’ criterion yielded 96.0% sensitivity, 95.0% specificity, 95.5% accuracy, and outperformed conventional tests, effectively identifying smear-negative subclinical TB.Conclusions This biosignature is a robust TB diagnostic tool. The companion strip offers a rapid, sputum-free, instrument-minimal solution for decentralized screening, bridging biomarker discovery and field application in resource-limited settings.

Expert Review of Molecular Diagnostics
Capital Medical University (CN), Beijing Chest Hospital (CN)
Openalex Percentile: Top 12%
Tuberculosis Research and Epidemiology
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A novel serum four-biomarker biosignature and field-deployable colloidal gold strip for accurate identification of subclinical and active tuberculosis — Jingyuan Feng, Duan Hongfei · Expert Review of Molecular Diagnostics (2026) | TGRS Research Map | TGRS