High-throughput and computational approaches for diagnostic and prognostic host tuberculosis biomarkers

- New biomarkers for tuberculosis (TB) are necessary to control the spread of the disease.
- High-throughput techniques have been successfully applied to generate novel TB biomarkers.
- New biomarkers for TB can be applied in diagnosis, prevention, and prognosis of the treatment outcome.
- With the help of high-throughput-derived biomarkers, incipient, subclinical TB can be identified in clinically healthy individuals.
- New, independent studies are needed for better meta-analyses and the construction of universal TB biosignatures.

SummaryHigh-throughput techniques strive to identify new biomarkers that will be useful for the diagnosis, treatment, and prevention of tuberculosis (TB). However, their analysis and interpretation pose considerable challenges. Recent developments in the high-throughput detection of host biomarkers in TB are reported in this review.