Dissecting Host-Pathogen Interactions in TB Using Systems-Based Omic Approaches.
Dissecting Host-Pathogen Interactions in TB Using Systems-Based Omic Approaches.
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DOI：
10.3389/fimmu.2021.762315
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发表时间：
2021
影响因子：
7.3
通讯作者：
McFadden J
中科院分区：
文献类型：
--
作者：
Borah K;Xu Y;McFadden J
结核病是一种毁灭性的传染病，每年造成100多万人死亡。多重耐药（MDR）和广泛耐药（XDR）结核病的负担日益沉重。迫切需要新的和改进的治疗方法来克服当前治疗的局限性。致病菌结核分枝杆菌（Mycobacterium tuberculosis, Mtb）是最成功的病原体之一，它可以操纵宿主细胞环境以适应结核感染，逃避免疫防御、毒力和发病机制。宿主-病原体相互作用对建立感染很重要，它涉及一系列复杂的过程。宿主和病原体之间的代谢串扰是结核病感染的一个方面，也是一个重要的研究课题，人们对开发针对宿主中这些相互作用和病原体代谢的治疗和药物越来越感兴趣。结核分枝杆菌从宿主中清除多种营养来源，并适应其代谢以在细胞内生态位中生存。基于系统的基因组学技术的进步已经成功地揭示了结核病中宿主-病原体的相互作用。在这篇综述中，我们讨论了组学在结核病研究中的应用和用途，为开发抗结核病治疗提供了有希望的干预措施。
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, Mycobacterium tuberculosis (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.
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影响因子：
--
作者：
Beste DJ;Nöh K;Niedenführ S;Mendum TA;Hawkins ND;Ward JL;Beale MH;Wiechert W;McFadden J
通讯作者：
McFadden J
影响因子：
9.9
作者：
Borah K;Mendum TA;Hawkins ND;Ward JL;Beale MH;Larrouy-Maumus G;Bhatt A;Moulin M;Haertlein M;Strohmeier G;Pichler H;Forsyth VT;Noack S;Goulding CW;McFadden J;Beste DJV
通讯作者：
Beste DJV
影响因子：
3.7
作者：
Collins JM;Walker DI;Jones DP;Tukvadze N;Liu KH;Tran VT;Uppal K;Frediani JK;Easley KA;Shenvi N;Khadka M;Ortlund EA;Kempker RR;Blumberg HM;Ziegler TR
通讯作者：
Ziegler TR
影响因子：
6
作者：
Brzostek A;Płociński P;Minias A;Ciszewska A;Gąsior F;Pawełczyk J;Dziadek B;Słomka M;Dziadek J
通讯作者：
Dziadek J
影响因子：
5.4
作者：
Banaei-Esfahani A;Nicod C;Aebersold R;Collins BC
通讯作者：
Collins BC