Unknown

Dataset Information

Evaluating the pharmacodynamic effect of antimalarial drugs in clinical trials by quantitative PCR.


ABSTRACT: 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

SUBMITTER: Marquart L 

PROVIDER: S-EPMC4468738 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature