Gene Set Enrichment Analysis Reveals Individual Variability in Host Responses in Tuberculosis Patients.

ABSTRACT: Group-aggregated responses to tuberculosis (TB) have been well characterized on a molecular level. However, human beings differ and individual responses to infection vary. We have combined a novel approach to individual gene set analysis (GSA) with the clustering of transcriptomic profiles of TB patients from seven datasets in order to identify individual molecular endotypes of transcriptomic responses to TB. We found that TB patients differ with respect to the intensity of their hallmark interferon (IFN) responses, but they also show variability in their complement system, metabolic responses and multiple other pathways. This variability cannot be sufficiently explained with covariates such as gender or age, and the molecular endotypes are found across studies and populations. Using datas

SUBMITTER: Domaszewska T 

PROVIDER: S-EPMC8375662 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature