Modeling the impact of drug interactions on therapeutic selectivity.
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| Abstract | Combination therapies that produce synergistic growth inhibition are widely sought after for the pharmacotherapy of many pathological conditions. Therapeutic selectivity, however, depends on the difference between potency on disease-causing cells and potency on non-target cell types that cause toxic side effects. Here, we examine a model system of antimicrobial compound combinations applied to two highly diverged yeast species. We find that even though the drug interactions correlate between the two species, cell-type-specific differences in drug interactions are common and can dramatically alter the selectivity of compounds when applied in combination vs. single-drug activity-enhancing, diminishing, or inverting therapeutic windows. This study identifies drug combinations with enhanced cell-type-selectivity with a range of interaction types, which we experimentally validate using multiplexed drug-interaction assays for heterogeneous cell cultures. This analysis presents a model framework for evaluating drug combinations with increased efficacy and selectivity against pathogens or tumors. |
| Year of Publication | 2018
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| Journal | Nat Commun
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| Volume | 9
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| Issue | 1
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| Pages | 3452
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| Date Published | 2018 08 27
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| ISSN | 2041-1723
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| DOI | 10.1038/s41467-018-05954-3
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| PubMed ID | 30150706
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| PubMed Central ID | PMC6110842
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| Grant list | U01 CA176152 / CA / NCI NIH HHS / United States
P50 GM107618 / GM / NIGMS NIH HHS / United States
DP2 AI131083 / AI / NIAID NIH HHS / United States
P50 HG004233 / HG / NHGRI NIH HHS / United States
T32 GM008541 / GM / NIGMS NIH HHS / United States
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