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Concise gene signature for point-of-care classification of tuberculosis.


ABSTRACT: There is an urgent need for new tools to combat the ongoing tuberculosis (TB) pandemic. Gene expression profiles based on blood signatures have proved useful in identifying genes that enable classification of TB patients, but have thus far been complex. Using real-time PCR analysis, we evaluated the expression profiles from a large panel of genes in TB patients and healthy individuals in an Indian cohort. Classification models were built and validated for their capacity to discriminate samples from TB patients and controls within this cohort and on external independent gene expression datasets. A combination of only four genes distinguished TB patients from healthy individuals in both cross-validations and on separate validation datasets with very high accuracy. An external validation on t

SUBMITTER: Maertzdorf J 

PROVIDER: S-EPMC4734838 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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