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Strain diversity drives heterogeneous responses to tuberculosis combination therapy
Michelle H Yoon1, Peter H Culviner2, Mariana Pereira Moraes1
1Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, USA.
Antimicrobial Agents and Chemotherapy
|May 15, 2026
Summary
Mycobacterium tuberculosis (Mtb) strain diversity impacts drug response. Combination treatments effective against Mtb vary by strain and metabolic conditions, highlighting the need for diverse strain selection in preclinical studies.
Area of Science:
- Microbiology and Infectious Diseases
- Pharmacology and Drug Discovery
Background:
- Strain diversity in Mycobacterium tuberculosis (Mtb) influences clinical outcomes.
- Understanding drug susceptibility phenotypes across diverse Mtb clinical isolates is crucial but limited.
- Phylogenetic diversity of Mtb strains correlates with varying disease progression and treatment responses.
Purpose of the Study:
- To identify distinct drug response patterns in phylogenetically diverse Mtb clinical isolates.
- To evaluate the efficacy of single-drug, two-drug, and three-drug combinations against Mtb under different metabolic conditions.
- To inform preclinical Mtb regimen design by considering strain-specific drug responses.
Main Methods:
- Selected 13 diverse Mtb clinical isolates plus one reference strain (Erdman ATCC-35801).
- Tested 65 drug combinations (10 single drugs, 45 pairs, 20 three-way combinations) in standard and cholesterol-rich media.
- Assessed drug potency and synergy across strains and metabolic conditions.
Main Results:
- Mtb clinical strains exhibited a wide spectrum of drug response phenotypes.
- Optimal drug pairs varied significantly based on Mtb strain and metabolic environment.
- Reduced sensitivity to single drugs correlated with reduced sensitivity to combination treatments.
- Drug combination potency variation was primarily driven by closely related strains, not disparate lineages.
- Differential effectiveness of drug combinations was observed against Mtb in different carbon sources.
Conclusions:
- Preclinical Mtb regimen design should prioritize strain selection based on drug response phenotypes, not solely genetic diversity.
- The efficacy of Mtb drug combinations is strain- and condition-dependent.
- Optimizing drug combinations requires considering infecting strain, metabolic niche, and specific drug response metrics.
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