Marquart Louise, Baker Mark, O'Rourke Peter, McCarthy James S
QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
Medicines for Malaria Venture, Geneva, Switzerland.
Antimicrob Agents Chemother. 2015 Jul;59(7):4249-59. doi: 10.1128/AAC.04942-14. Epub 2015 May 11.
The ongoing development of new antimalarial drugs and the increasing use of controlled human malaria infection (CHMI) studies to investigate their activity in early-stage clinical trials require the development of methods to analyze their pharmacodynamic effect. This is especially so for studies where quantitative PCR (qPCR) is becoming the preferred method for assessing parasite clearance as the study endpoint. We report the development and validation of an analytic approach for qPCR-determined parasite clearance data. First, in a clinical trial with the licensed antimalarial combination sulfadoxine-pyrimethamine (S/P), qPCR data were collected from 12 subjects and used to determine qPCR replicate variability and to identify outliers. Then, an iterative analytic approach based on modeling the log-linear decay of parasitemia following drug treatment was developed to determine the parasite reduction ratio (PRR) and parasite clearance half-life, both measures of parasite clearance. This analytic approach was then validated with data from 8 subjects enrolled in a second study with the licensed antimalarial drug mefloquine. By this method, the PRR and parasite clearance half-lives for S/P and Mefloquine were determined to be 38,878 (95% confidence interval [95% CI], 17,396 to 86,889) at 3.15 (95% CI, 2.93 to 3.41) days and 157 (95% CI, 130 to 189) at 6.58 (95% CI, 6.35 to 6.83) days for the respective studies. No serious adverse events occurred in the two trials, and pharmacokinetic values were within expected ranges for sulfadoxine and pyrimethamine. The robust statistical method that we have developed to analyze qPCR-derived pharmacodynamic data from CHMI studies will facilitate the assessment of the activity of a range of experimental antimalarial drugs now entering clinical trials. (This trial was registered with the Australian New Zealand Clinical Trials Registry under registration numbers ACTRN12611001203943 and ACTRN12612000323820.).
新型抗疟药物的不断研发以及在早期临床试验中越来越多地使用人体疟疾感染控制(CHMI)研究来调查其活性,这就需要开发分析其药效学效应的方法。对于那些将定量PCR(qPCR)作为评估寄生虫清除率这一研究终点的首选方法的研究而言,情况尤其如此。我们报告了一种针对qPCR测定的寄生虫清除数据的分析方法的开发与验证。首先,在一项使用已获许可的抗疟联合药物磺胺多辛-乙胺嘧啶(S/P)的临床试验中,从12名受试者收集了qPCR数据,并用于确定qPCR重复测量的变异性以及识别异常值。然后,开发了一种基于对药物治疗后疟原虫血症对数线性衰减进行建模的迭代分析方法,以确定寄生虫减少率(PRR)和寄生虫清除半衰期,这两个指标都是衡量寄生虫清除情况的。随后,用第二项研究中8名服用已获许可抗疟药物甲氟喹的受试者的数据对该分析方法进行了验证。通过这种方法,在各自的研究中,S/P和甲氟喹的PRR及寄生虫清除半衰期分别确定为38,878(95%置信区间[95%CI],17,396至86,889)和3.15天(95%CI,2.93至3.41天),以及157(95%CI,130至189)和6.58天(95%CI,6.35至6.83天)。两项试验均未发生严重不良事件,磺胺多辛和乙胺嘧啶的药代动力学值在预期范围内。我们开发的用于分析CHMI研究中qPCR衍生的药效学数据的稳健统计方法,将有助于评估目前正在进入临床试验的一系列实验性抗疟药物的活性。(该试验已在澳大利亚新西兰临床试验注册中心注册,注册号分别为ACTRN12611001203943和ACTRN12612000323820。)