Similar content being viewed by others
Therapeutic host-directed strategies to improve outcome in tuberculosis
C. Young, G. Walzl & N. Du Plessis
Efficacy of anti-tuberculosis drugs for the treatment of latent tuberculosis infection: a systematic review and network meta-analysis
Panida Yoopetch, Thunyarat Anothaisintawee, … Usa Chaikledkaew
A broad spectrum anti-bacterial peptide with an adjunct potential for tuberculosis chemotherapy
Komal Umashankar Rao, Domhnall Iain Henderson, … Gabriela Godaly
Introduction
The Nobel Prize-winning discovery of streptomycin has enabled the treatment of several infectious diseases, including tuberculosis (TB). Loss of allosteric regulation in α-isopropylmalate synthase identified as an antimicrobial resistance mechanism
npj Antimicrobials and Resistance (2023)
Treatments of Mycobacterium tuberculosis and Toxoplasma gondii with Selenium Nanoparticles
BioNanoScience (2023)
Advertisement
Explore content
About the journal
Publish with us
Search
Quick links
Nature Reviews Microbiology (Nat Rev Microbiol)
Advertisement
Anti-tuberculosis treatment strategies and drug development: challenges and priorities
Nature Reviews Microbiology
volume 20, pages 685–701 (2022)Cite this article
35k Accesses
106 Citations
155 Altmetric
Metrics details
Subjects
Abstract
Despite two decades of intensified research to understand and cure tuberculosis disease, biological uncertainties remain and hamper progress. first, the inventory of available assays and models that collectively recapitulate micro-environmental conditions encountered in vivo and produce all potentially relevant pathophysiological states of the bacteria, validation of in vitro assay panels that predict clinical treatment shortening, and determination of which animal models are required to bridge in vitro assays and clinical efficacy for new drug candidates; second, the identification of missing assays, models, and bacterial profiles to refine the predictive power of the approach and determination of how they integrate within a patient to drive treatment outcome (that is, the response to treatment may be more complex than the sum of its parts, even if, collectively, assays and models faithfully capture all relevant in vivo conditions). ©ronique A. Dartois
Harvard T.H. Chan School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA, USA
Eric J. Rubin
You can also search for this author in
PubMed Google Scholar
You can also search for this author in
PubMed Google Scholar
Contributions
V. A. D. researched data for the article.