Liu Shengfa, Mu Jianbing, Jiang Hongying, Su Xin-zhuan
Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892-8132, USA.
Am J Trop Med Hyg. 2008 Aug;79(2):178-84.
Studying drug resistance in Plasmodium falciparum requires accurate measurement of parasite response to a drug. Factors such as mixed infection of drug-resistant and -sensitive parasites can influence drug test outcome. Polymorphic DNA sequences are frequently used to detect mixed infections; infections with a single genotype or having a minor allele smaller than a subjectively selected cut-off value are often considered single infection. We studied the effects of mixed parasite populations containing various ratios of parasites resistant and sensitive to chloroquine on outcomes of drug tests and how ratios of parasite mixtures correlated with genotypes using polymerase chain reaction-based methods. Our results show that a mixture with a resistant population as low as 10% could greatly impact a drug test outcome. None of the genotyping methods could reliably detect minor DNA alleles at < or = 10%. Mixed infection presents a serious problem for drug tests, and genotyping using microsatellite or other methods may not reliably reflect true ratios of alleles.
研究恶性疟原虫的耐药性需要准确测量寄生虫对药物的反应。耐药和敏感寄生虫的混合感染等因素会影响药物测试结果。多态性DNA序列常用于检测混合感染;具有单一基因型或次要等位基因小于主观选定临界值的感染通常被视为单一感染。我们使用基于聚合酶链反应的方法,研究了含有不同比例氯喹耐药和敏感寄生虫的混合寄生虫群体对药物测试结果的影响,以及寄生虫混合物的比例与基因型之间的相关性。我们的结果表明,耐药群体低至10%的混合物会对药物测试结果产生重大影响。没有一种基因分型方法能够可靠地检测到小于或等于10%的次要DNA等位基因。混合感染给药物测试带来了严重问题,使用微卫星或其他方法进行基因分型可能无法可靠地反映等位基因的真实比例。