Unknown

Dataset Information

0

The transcriptional signature of active tuberculosis reflects symptom status in extra-pulmonary and pulmonary tuberculosis


ABSTRACT: Background: Mycobacterium tuberculosis infection is a leading cause of infectious death worldwide. Gene-expression microarray studies profiling the blood transcriptional response of tuberculosis (TB) patients have been undertaken in order to better understand the host immune response as well as to identify potential biomarkers of disease. To date most of these studies have focused on pulmonary TB patients with gene-expression profiles of extra-pulmonary TB patients yet to be compared to those of patients with pulmonary TB or sarcoidosis. Methods A novel cohort of patients with extra-pulmonary TB and sarcoidosis was recruited and the transcriptional response of these patients compared to those with pulmonary TB using a variety of transcriptomic approaches including testing a previously defined 380 gene meta-signature of active TB. Results The 380 meta-signature broadly differentiated active TB from healthy controls in this new dataset consisting of pulmonary and extra-pulmonary TB. The top 15 genes from this meta-signature had a lower sensitivity for differentiating extra-pulmonary TB from healthy controls as compared to pulmonary TB. We found the blood transcriptional responses in pulmonary and extra-pulmonary TB to be heterogeneous and to reflect the extent of symptoms of disease. Conclusions The transcriptional signature in extra-pulmonary TB demonstrated heterogeneity of gene expression reflective of symptom status, while the signature of pulmonary TB was distinct, based on a higher proportion of symptomatic individuals. These findings are of importance for the rational design and implementation of mRNA based TB diagnostics.

ORGANISM(S): Homo sapiens

PROVIDER: GSE83456 | GEO | 2016/11/04

SECONDARY ACCESSION(S): PRJNA326020

REPOSITORIES: GEO

Similar Datasets

2012-04-14 | E-GEOD-34608 | biostudies-arrayexpress
2013-10-31 | E-GEOD-42830 | biostudies-arrayexpress
2013-10-31 | E-GEOD-42826 | biostudies-arrayexpress
2013-10-31 | GSE42830 | GEO
2013-10-31 | GSE42826 | GEO
2020-11-16 | GSE148862 | GEO
2020-11-16 | GSE148861 | GEO
2012-04-14 | GSE34608 | GEO
2021-12-31 | GSE192829 | GEO
2013-12-31 | E-GEOD-44848 | biostudies-arrayexpress