Immune Subtyping in Latent Tuberculosis

Banerjee, U and Baloni, P and Singh, A and Chandra, N (2021) Immune Subtyping in Latent Tuberculosis. In: Frontiers in Immunology, 12 .

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Abstract

Latent tuberculosis infection (LTBI) poses a major roadblock in the global effort to eradicate tuberculosis (TB). A deep understanding of the host responses involved in establishment and maintenance of TB latency is required to propel the development of sensitive methods to detect and treat LTBI. Given that LTBI individuals are typically asymptomatic, it is challenging to differentiate latently infected from uninfected individuals. A major contributor to this problem is that no clear pattern of host response is linked with LTBI, as molecular correlates of latent infection have been hard to identify. In this study, we have analyzed the global perturbations in host response in LTBI individuals as compared to uninfected individuals and particularly the heterogeneity in such response, across LTBI cohorts. For this, we constructed individualized genome-wide host response networks informed by blood transcriptomes for 136 LTBI cases and have used a sensitive network mining algorithm to identify top-ranked host response subnetworks in each case. Our analysis indicates that despite the high heterogeneity in the gene expression profiles among LTBI samples, clear patterns of perturbation are found in the immune response pathways, leading to grouping LTBI samples into 4 different immune-subtypes. Our results suggest that different subnetworks of molecular perturbations are associated with latent tuberculosis. © Copyright © 2021 Banerjee, Baloni, Singh and Chandra.

Item Type:	Journal Article
Publication:	Frontiers in Immunology
Publisher:	Frontiers Media S.A.
Additional Information:	The copyright for this article belongs to Authors
Department/Centre:	Division of Biological Sciences > Biochemistry Division of Biological Sciences > Centre for Infectious Disease Research Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering
Date Deposited:	11 Aug 2021 06:01
Last Modified:	11 Aug 2021 06:01
URI:	http://eprints.iisc.ac.in/id/eprint/69102

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