4.1 Review

Tuberculosis endotypes to guide stratified host-directed therapy

期刊

MED
卷 2, 期 3, 页码 217-232

出版社

CELL PRESS
DOI: 10.1016/j.medj.2020.11.003

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资金

  1. National Institute of Allergy and Infectious Diseases (NIAID) [K23 AI141681-02]
  2. Cancer Prevention Institute of Texas (CPRIT) [RP170005]
  3. National Institutes of Health (NIH) [CA125123]
  4. National Institute of Environmental Health Sciences (NIEHS) [1P30ES030285, 1P42ES0327725]
  5. NIH/NIAID [R01AI137527-01A1]
  6. NIH/U.S. Department of Defense (DOD) [W81XWH1910026]
  7. German Center for Infection Research (DZIF)
  8. Texas A&M University System
  9. NIH [AI104960]
  10. European Research Council (ERC) [833247]
  11. Netherlands Organisation for Scientific Research
  12. U.S. Department of Defense (DOD) [W81XWH1910026] Funding Source: U.S. Department of Defense (DOD)

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The clinical presentation of tuberculosis varies, with differences in severity, tissue pathology, and bacillary burden. TB endotypes can be characterized by either immunodeficiency or pathologic excessive inflammation. Additional factors such as comorbidities, structural lung disease, or mycobacterial virulence also play a role in driving TB endotypes.
There is hope that host-directed therapy (HDT) for tuberculosis (TB) can shorten treatment duration, help cure drug-resistant disease, or limit immunopathology. Many candidate HDT drugs have been proposed, but solid evidence only exists for a few select patient groups. The clinical presentation of TB is variable, with differences in severity, tissue pathology, and bacillary burden. TB clinical phenotypes likely determine the potential benefit of HDT Underlying TB clinical phenotypes, there are TB endotypes, defined as distinct molecular profiles, with specific metabolic, epigenetic, transcriptional, and immune phenotypes. TB endotypes can be characterized by either immunodeficiency or pathologic excessive inflammation. Additional factors, such as comorbidities (HIV infection, diabetes, helminth infection), structural lung disease, or mycobacterial virulence also drive TB endotypes. Precise disease phenotyping, combined with in-depth immunologic and molecular profiling and multimodal omics integration, can identify TB endotypes, guide endotype-specific HDT, and improve TB outcomes, similar to advances in cancer medicine.

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