Dissecting Host-Pathogen Interactions in TB Using Systems-Based Omic Approaches

Tuberculosis (TB) is a devastating infectious disease that kills over a million people every year. There is an increasing burden of multi drug resistance (MDR) and extensively drug resistance (XDR) TB. New and improved therapies are urgently needed to overcome the limitations of current treatment. T...

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Bibliographic Details
Published in:Frontiers in immunology 2021-11, Vol.12, p.762315
Main Authors: Borah, Khushboo, Xu, Ye, McFadden, Johnjoe
Format: Article
Language:English
Subjects:
Animals
Genomics
Host-Pathogen Interactions
Humans
Immunology
macrophage
Metabolomics
Models, Biological
Mycobacterium tuberculosis
Mycobacterium tuberculosis - physiology
omic technology
Systems Biology
tuberculosis
Tuberculosis - genetics
Tuberculosis - metabolism
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Summary:Tuberculosis (TB) is a devastating infectious disease that kills over a million people every year. There is an increasing burden of multi drug resistance (MDR) and extensively drug resistance (XDR) TB. New and improved therapies are urgently needed to overcome the limitations of current treatment. The causative agent, (Mtb) is one of the most successful pathogens that can manipulate host cell environment for adaptation, evading immune defences, virulence, and pathogenesis of TB infection. Host-pathogen interaction is important to establish infection and it involves a complex set of processes. Metabolic cross talk between the host and pathogen is a facet of TB infection and has been an important topic of research where there is growing interest in developing therapies and drugs that target these interactions and metabolism of the pathogen in the host. Mtb scavenges multiple nutrient sources from the host and has adapted its metabolism to survive in the intracellular niche. Advancements in systems-based omic technologies have been successful to unravel host-pathogen interactions in TB. In this review we discuss the application and usefulness of omics in TB research that provides promising interventions for developing anti-TB therapies.
ISSN:1664-3224
1664-3224
DOI:10.3389/fimmu.2021.762315