journal.pone.0162220.PDF (1.93 MB)

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

Download (1.93 MB)
journal contribution
posted on 15.07.2020 by Simon Blankley, Christine M Graham, Jacob Turner, Matthew PR Berry, Chloe I Bloom, Zhaohui Xu, Virginia Pascual, Jacques Banchereau, Damien Chaussabel, Ronan Breen, George Santis, Derek M Blankenship, Marc Lipman, Anne O'Garra
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.