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Trends Parasitol. 2013 Jul;29(7):321-8. doi: 10.1016/j.pt.2013.05.004. Epub 2013 Jun 5.

Ahead of the curve: next generation estimators of drug resistance in malaria infections.

Author information

  • 1Center for Infectious Disease Dynamics, Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA. nlm12@psu.edu

Abstract

Drug resistance is a major obstacle to controlling infectious diseases. A key challenge is detecting the early signs of drug resistance when little is known about its genetic basis. Focusing on malaria parasites, we propose a way to do this. Newly developing or low level resistance at low frequency in patients can be detected through a phenotypic signature: individual parasite variants clearing more slowly following drug treatment. Harnessing the abundance and resolution of deep sequencing data, our 'selection differential' approach addresses some limitations of extant methods of resistance detection, should allow for the earliest detection of resistance in malaria or other multi-clone infections, and has the power to uncover the true scale of the drug resistance problem.

Copyright © 2013 Elsevier Ltd. All rights reserved.

PMID:
23746748
[PubMed - indexed for MEDLINE]
PMCID:
PMC3694767
Free PMC Article

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