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Predicting Efavirenz Concentrations in the Brain Tissue of HIV-Infected Individuals and Exploring their Relationship to Neurocognitive Impairment

机译:预测艾滋病毒感染的个体脑组织中的efavirenz浓度,并探索与神经认知障碍的关系

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摘要

Sparse data exist on the penetration of antiretrovirals into brain tissue. In this work, we present a framework to use efavirenz (EFV) pharmacokinetic (PK) data in plasma, cerebrospinal fluid (CSF), and brain tissue of eight rhesus macaques to predict brain tissue concentrations in HIV-infected individuals. We then perform exposure-response analysis with the model-predicted EFV area under the concentration-time curve (AUC) and neurocognitive scores collected from a group of 24 HIV-infected participants. Adult rhesus macaques were dosed daily with 200 mg EFV (as part of a four-drug regimen) for 10 days. Plasma was collected at 8 time points over 10 days and at necropsy, whereas CSF and brain tissue were collected at necropsy. In the clinical study, data were obtained from one paired plasma and CSF sample of participants prescribed EFV, and neuropsychological test evaluations were administered across 15 domains. PK modeling was performed using ADAPT version 5.0 Biomedical Simulation Resource, Los Angeles, CA) with the iterative two-stage estimation method. An eight-compartment model best described EFV distribution across the plasma, CSF, and brain tissue of rhesus macaques and humans. Model-predicted median brain tissue concentrations in humans were 31 and 8,000 ng/mL, respectively. Model-predicted brain tissue AUC was highly correlated with plasma AUC (gamma = 0.99, P 0.05). This analysis provides an approach to estimate PK the brain tissue in order to perform PK/pharmacodynamic analyses at the target site.
机译:稀疏数据存在于抗逆转录病毒中的渗透到脑组织中。在这项工作中,我们介绍了一种使用八个恒河猕猴的血浆,脑脊液(CSF)和脑组织中的efaviraz(EFV)药代动力学(PK)数据的框架,以预测艾滋病毒感染的个体中的脑组织浓度。然后,我们在浓度 - 时间曲线(AUC)下的模型预测的EFV面积和从一组24个艾滋病毒感染者收集的神经认知评分进行曝光响应分析。成人恒河猴每天服用200毫克EFV(作为四种药物方案的一部分)10天。在10天和尸检时在8次上收集血浆,而CSF和脑组织在尸检时收集。在临床研究中,从一个配对的血浆和参赛者的CSF样品获得数据,并在规定的EFV中获得,并且在15个结构域施用神经心理学测试评估。 PK建模是使用适应版5.0生物医学仿真资源,洛杉矶,CA)进行的迭代两级估计方法进行。八隔室模型最佳地描述了恒河猕猴和人类的血浆,CSF和脑组织的EFV分布。人体中的模型预测中位数脑组织浓度分别为31和8,000ng / ml。模型预测的脑组织AUC与血浆AUC(GAMMA = 0.99,P <0.05)高度相关。该分析提供了一种估计脑组织PK脑组织的方法,以便在靶位部位进行PK /药效学分析。

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