Combining host-derived biomarkers with patient characteristics improves signature performance in predicting tuberculosis treatment outcomes.

ABSTRACT: Tuberculosis (TB) is a global health concern. Treatment is prolonged, and patients on anti-TB therapy (ATT) often experience treatment failure for various reasons. There is an urgent need to identify signatures for early detection of failure and initiation of a treatment switch.We investigated how gene biomarkers and/or basic patient characteristics could be used to define signatures for treatment outcomes in Indian adult pulmonary-TB patients treated with standard ATT. Using blood samples at baseline, a 12-gene signature combined with information on gender, previously-diagnosed TB, severe thinness, smoking and alcohol consumption was highly predictive of treatment failure at 6 months. Likewise a 4-protein biomarker signature combined with the same patient characteristics was almost as hig

SUBMITTER: Sivakumaran D 

PROVIDER: S-EPMC7347567 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature