TB Research

Host Plasma Protein Biomarkers for Tuberculosis Disease Screening in Febrile Adults in Tanzania

Michael Prodanuk, Noémie Boillat‐Blanco, Valérie D’Acremont, Alastair Fung, Kevin C. Kain, Theckla Kazimoto, Ian Kitai, Tarsis Mlaganile, et al. (11 authors)

The Journal of Infectious Diseases · 2026-05

Abstract

BACKGROUND: Host circulating biomarkers may enhance access to tuberculosis (TB) diagnostics in low-resource settings. We sought to identify host plasma proteins that differentiate TB disease from other infectious causes of fever. METHODS: This secondary analysis of a prospective cohort included outpatients ≥18 years in urban Tanzania presenting with ≤7 days of fever. Fourteen plasma proteins reflecting endothelial and immunoregulatory pathways were evaluated against a composite reference standard including sputum Xpert MTB/RIF, urine lipoarabinomannan, and/or chest x-ray. Multivariable models assessed proteins and symptoms associated with TB diagnosis. RESULTS: Of 507 participants, 40 (7.9%) had TB disease and 467 (92.1%) had other causes of fever. Eight proteins were significantly elevated (p<0.05) in people with TB. Regression modeling identified a four-protein biosignature (sTREM-1, CHI3L1, sTNFR-1, and CRP) with a cross-validated median AUC of 0.81 (2.5th-97.5th percentiles: 0.65-0.93), sensitivity of 80.0% (2.5th-97.5th percentiles: 41.4-100%), and specificity of 65.5% (2.5th-97.5th percentiles: 54.2-76.6%); however, discrimination was lower in people living with HIV (AUC 0.71; 95% CI 0.61-0.81). Classification and regression tree analysis yielded a simplified algorithm incorporating cough and sTREM-1, with a cross-validated AUC of 0.79 (95% CI: 0.69-0.88), sensitivity of 77.5% (95% CI: 61.6-89.2%), and specificity of 84.2% (95% CI: 80.5-87.4%); this approach may be more pragmatic for low-resource settings. CONCLUSIONS: This exploratory analysis identified a parsimonious biosignature and biomarker-based algorithm for TB evaluation among febrile adults in a high-burden setting. With further development, host protein-based assays may enhance TB case detection in resource-limited settings.

MeSH terms

  • Tanzania
  • Medicine
  • Tuberculosis
  • Sputum
  • Prospective cohort study
  • Cohort
  • Immunology
  • Disease
  • Mycobacterium tuberculosis
  • Host response
  • Urine
  • Tuberculosis diagnosis
  • Cohort study
  • Logistic regression
  • Internal medicine
  • Infectious disease (medical specialty)
  • Blood proteins
  • Host (biology)
  • Biomarker
  • C-reactive protein