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An Automated Culture System for Use in Preclinical Testing of Host-Directed Therapies for Tuberculosis
Published on: August 16, 2021
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Host-directed therapies for tuberculosis: quantitative systems pharmacology approaches
Krina Mehta1, Herman P Spaink1, Tom H M Ottenhoff2
1Leiden University, Leiden, The Netherlands.
Trends in Pharmacological Sciences
|December 17, 2021
Summary
Host-directed therapies (HDTs) offer a novel strategy against Mycobacterium tuberculosis (Mtb) infections. Quantitative systems pharmacology (QSP) models can optimize these therapies for better tuberculosis (TB) treatment outcomes.
Area of Science:
- Infectious Diseases
- Pharmacology
- Computational Biology
Background:
- Host-directed therapies (HDTs) represent an innovative approach to combat Mycobacterium tuberculosis (Mtb) infections.
- Combining HDTs with conventional tuberculosis (TB) antibiotics may enhance treatment efficacy, shorten duration, and prevent drug resistance.
Purpose of the Study:
- To provide an overview of key Mtb-host interactions relevant for HDT development.
- To discuss the utility of quantitative systems pharmacology (QSP) models in informing HDT strategies.
Main Methods:
- Review of Mtb-host interactions.
- Discussion of QSP model components and applications.
Main Results:
- Key Mtb-host interactions are identified as a basis for HDT strategies.
- QSP models are presented as valuable tools for optimizing HDTs.
Conclusions:
- Rational design of HDTs requires a quantitative understanding of host-pathogen interactions.
- QSP models can guide target identification, preclinical-to-human translation, and combination therapy design for TB.
Keywords:
Mycobacterium tuberculosishost-directed therapyimmune responsequantitative systems pharmacologyMore Related Videos
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