World antimalarial resistance network (WARN) II: In vitro antimalarial drug susceptibility

被引:41
作者
Bacon, David J. [1 ]
Jambou, Ronan
Fandeur, Thierry
Le Bras, Jacques
Wongsrichanalai, Chansuda
Fukuda, Mark M.
Ringwald, Pascal
Sibley, Carol Hopkins
Kyle, Dennis E.
机构
[1] Naval Med Res Ctr Detachment, Parasitol Program, Lima, Peru
[2] Inst Pasteur, Lab Immunol Clin & Parasitaire, Dakur, Senegal
[3] Inst Pasteur, Unite Immunol Mol Parasites, Paris, France
[4] Hop Bichat Claude Bernard, F-75877 Paris 18, France
[5] USN, Med Res Unit 2, NAMRU 2, Jakarta, Indonesia
[6] Armed Forces Res Inst Med Sci, USA Med Component, Dept Immunol & Med, Bangkok 10400, Thailand
[7] WHO, Global Malaria Program, CH-1211 Geneva 27, Switzerland
[8] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA
[9] Univ S Florida, Coll Publ Hlth, Dept Global Hlth, Tampa, FL USA
关键词
D O I
10.1186/1475-2875-6-120
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Intrinsic resistance of Plasmodium falciparum is clearly a major determinant of the clinical failure of antimalarial drugs. However, complex interactions between the host, the parasite and the drug obscure the ability to define parasite drug resistance in vivo. The in vitro antimalarial drug susceptibility assay determines ex-vivo growth of parasite in the presence of serial drug concentrations and, thus, eliminates host effects, such as drug metabolism and immunity. Although the sensitivity of the parasite to various antimalarials provided by such a test provides an important indicator of intrinsic parasite susceptibility, there are fundamental methodological issues that undermine comparison of in vitro susceptibility both between laboratories and within a single laboratory over time. A network of laboratories is proposed that will agree on the basic parameters of the in vitro test and associated measures of quality control. The aim of the network would be to establish baseline values of sensitivity to commonly used antimalarial agents from key regions of the world, and create a global database, linked to clinical, molecular and pharmacology databases, to support active surveillance to monitor temporal trends in parasite susceptibility. Such a network would facilitate the rapid detection of strains with novel antimalarial resistance profiles and investigate suitable alternative treatments with retained efficacy.
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