Duwal S, Sunkara V, von Kleist M
Department of Mathematics & Computer Science, Freie Universität Berlin, Berlin, Germany.
Konrad-Zuse-Institut für Informationstechnik, Berlin, Germany.
CPT Pharmacometrics Syst Pharmacol. 2016 Jul;5(7):377-87. doi: 10.1002/psp4.12095. Epub 2016 Jul 21.
While HIV-1 continues to spread, the use of antivirals in preexposure prophylaxis (PrEP) has recently been suggested. Here we present a modular systems pharmacology modeling pipeline, predicting PrEP efficacy of nucleotide reverse transcriptase inhibitors (NRTIs) at the scale of reverse transcription, target-cell, and systemic infection and after repeated viral exposures, akin to clinical trials. We use this pipeline to benchmark the prophylactic efficacy of all currently approved NRTIs in wildtype and mutant viruses. By integrating pharmacokinetic models, we find that intracellular tenofovir-diphosphate builds up too slowly to halt infection when taken "on demand" and that lamivudine may substitute emtricitabine in PrEP combinations. Lastly, we delineate factors confounding clinical PrEP efficacy estimates and provide a method to overcome these. The presented framework is useful to screen and optimize PrEP candidates and strategies and to understand their clinical efficacy by integrating the diverse scales which determine PrEP efficacy.
虽然HIV-1仍在传播,但最近有人建议在暴露前预防(PrEP)中使用抗病毒药物。在此,我们展示了一种模块化系统药理学建模流程,可在逆转录、靶细胞和全身感染层面以及反复病毒暴露后预测核苷酸逆转录酶抑制剂(NRTIs)的PrEP疗效,类似于临床试验。我们使用该流程来评估所有目前获批的NRTIs对野生型和突变病毒的预防效果。通过整合药代动力学模型,我们发现按需服用时,细胞内二磷酸替诺福韦积累过慢,无法阻止感染,并且在PrEP组合中,拉米夫定可替代恩曲他滨。最后,我们阐述了影响临床PrEP疗效评估的因素,并提供了克服这些因素的方法。所展示的框架通过整合决定PrEP疗效的不同层面,有助于筛选和优化PrEP候选药物及策略,并了解其临床疗效。