Publication Date:
2016-01-02
Description:
Antibiotic treatment has two conflicting effects: the desired, immediate effect of inhibiting bacterial growth and the undesired, long-term effect of promoting the evolution of resistance. Although these contrasting outcomes seem inextricably linked, recent work has revealed several ways by which antibiotics can be combined to inhibit bacterial growth while, counterintuitively, selecting against resistant mutants. Decoupling treatment efficacy from the risk of resistance can be achieved by exploiting specific interactions between drugs, and the ways in which resistance mutations to a given drug can modulate these interactions or increase the sensitivity of the bacteria to other compounds. Although their practical application requires much further development and validation, and relies on advances in genomic diagnostics, these discoveries suggest novel paradigms that may restrict or even reverse the evolution of resistance.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baym, Michael -- Stone, Laura K -- Kishony, Roy -- R01-GM081617/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2016 Jan 1;351(6268):aad3292. doi: 10.1126/science.aad3292.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Systems Biology, Harvard Medical School, Boston, MA, USA. ; Department of Systems Biology, Harvard Medical School, Boston, MA, USA. Department of Biology and Department of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel. rkishony@technion.ac.il.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26722002" target="_blank"〉PubMed〈/a〉
Keywords:
Anti-Bacterial Agents/*pharmacology
;
Bacteria/*drug effects/*genetics
;
Drug Resistance, Bacterial/*genetics
;
*Evolution, Molecular
;
Humans
;
Mutation
;
Selection, Genetic
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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