Comparative assessment of Host transcriptomic- and bacteriological- markers for monitoring treatment response among active tuberculosis patients: a longitudinal study.

Authors

Ritah Nakiboneka, Nicolò Margaritella, Tonney S Nyirenda, Natasha Walbaum, Emmanuel Musisi, Sikwese Tionge, Marriott Nliwasa, Chisomo L Msefula, Deborah Williamson, Derek Sloan, Wilber Sabiiti

Published in

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases. Pages 108952. Jul 08, 2026. Epub Jul 08, 2026.

Abstract

Accurate diagnosis and effective treatment response monitoring (TRM) remain major challenges in tuberculosis (TB) control. Most existing tools are sputum based, yet many patients are unable to produce sputum at diagnosis or during treatment. We evaluated blood-based host transcriptional markers (HTM) for active TB diagnosis and TRM.
Presumptive TB patients presenting to healthcare centres in Blantyre, Malawi, and community healthy controls were enrolled. Active TB (ATB) was confirmed using Xpert MTB/RIF and Mycobacterial Growth Indicator Tube (MGIT) culture. Participants negative by both MGIT and Xpert were classified as having other respiratory diseases (ORDs). Confirmed ATB cases initiating treatment were followed for eight months with serial sputum bacteriology (MGIT time to positivity (TTP) and TB Molecular Bacterial Load Assay (TB-MBLA) and HTM measurement. HTM expression was quantified in whole blood using reverse-transcriptase quantitative PCR.
Before treatment, CD64, BATF2, GBP5 and C1QB best discriminated ATB from ORDs, with areas under the curve of 96.3%, 94.4%, 93.9% and 93.7%, respectively. All participants responded clinically by two months of therapy. Median MGIT TTP increased from 7 days (IQR 5-12) at baseline to 42 days, while mean bacterial load declined from 3.87 (SD 1.4) to 1.4 (SD 0.5) log₁₀ eCFU/mL by month eight. HTM expression declined in a pattern consistent with bacteriological markers and normalised to levels observed in TB-free individuals by end of follow-up, irrespective of HIV status (p<0.0001).
Blood-based HTM closely track bacteriological response and offer a promising sputum-independent adjunctive approach for diagnosis and treatment monitoring of pulmonary TB.

PMID:
42419448
Bibliographic data and abstract were imported from PubMed on 09 Jul 2026.

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