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© Research
Publication : PloS one

Molecular assays for antimalarial drug resistance surveillance: A target product profile

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in PloS one - 20 Sep 2018

Nsanzabana C, Ariey F, Beck HP, Ding XC, Kamau E, Krishna S, Legrand E, Lucchi N, Miotto O, Nag S, Noedl H, Roper C, Rosenthal PJ, Schallig HDFH, Taylor SM, Volkman SK, Gonzalez IJ

Link to Pubmed [PMID] – 30235327

PLoS ONE 2018;13(9):e0204347

Antimalarial drug resistance is a major constraint for malaria control and elimination efforts. Artemisinin-based combination therapy is now the mainstay for malaria treatment. However, delayed parasite clearance following treatment with artemisinin derivatives has now spread in the Greater Mekong Sub region and may emerge or spread to other malaria endemic regions. This spread is of great concern for malaria control programmes, as no alternatives to artemisinin-based combination therapies are expected to be available in the near future. There is a need to strengthen surveillance systems for early detection and response to the antimalarial drug resistance threat. Current surveillance is mainly done through therapeutic efficacy studies; however these studies are complex and both time- and resource-intensive. For multiple common antimalarials, parasite drug resistance has been correlated with specific genetic mutations, and the molecular markers associated with antimalarial drug resistance offer a simple and powerful tool to monitor the emergence and spread of resistant parasites. Different techniques to analyse molecular markers associated with antimalarial drug resistance are available, each with advantages and disadvantages. However, procedures are not adequately harmonized to facilitate comparisons between sites. Here we describe the target product profiles for tests to analyse molecular markers associated with antimalarial drug resistance, discuss how use of current techniques can be standardised, and identify the requirements for an ideal product that would allow malaria endemic countries to provide useful spatial and temporal information on the spread of resistance.

https://www.ncbi.nlm.nih.gov/pubmed/30235327