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预测 HIV 感染者脑组织中依非韦伦浓度及其与神经认知障碍的关系。

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

机构信息

Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

出版信息

Clin Transl Sci. 2019 May;12(3):302-311. doi: 10.1111/cts.12620. Epub 2019 Feb 27.

Abstract

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 (γ = 0.99, P < 0.001) but not CSF AUC (γ = 0.34, P = 0.1) and did not show any relationship with neurocognitive scores (γ < 0.05, 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.

摘要

关于抗逆转录病毒药物渗透到脑组织中的数据很少。在这项工作中,我们提出了一个框架,该框架使用八只恒河猴的血浆、脑脊液 (CSF) 和脑组织中的依非韦伦 (EFV) 药代动力学 (PK) 数据来预测 HIV 感染者的脑组织浓度。然后,我们使用模型预测的 EFV 浓度-时间曲线下面积 (AUC) 和从 24 名 HIV 感染者中收集的神经认知评分进行暴露-反应分析。成年恒河猴每天接受 200 毫克 EFV(作为四药方案的一部分)治疗 10 天。在 10 天内收集 8 个时间点的血浆,并在尸检时收集 CSF 和脑组织。在临床研究中,从接受 EFV 治疗的参与者的一对血浆和 CSF 样本中获得数据,并在 15 个领域进行神经心理测试评估。使用 ADAPT 版本 5.0 生物医学模拟资源(洛杉矶,加利福尼亚州)进行 PK 建模,采用迭代两阶段估计方法。八室模型最好地描述了 EFV 在恒河猴和人类血浆、CSF 和脑组织中的分布。模型预测的人类脑组织中位数浓度分别为 31 和 8000ng/ml。模型预测的脑 AUC 与血浆 AUC 高度相关(γ=0.99,P<0.001),但与 CSF AUC 无关(γ=0.34,P=0.1),与神经认知评分也没有关系(γ<0.05,P>0.05)。这项分析提供了一种估计脑组织 PK 的方法,以便在靶部位进行 PK/药效动力学分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e56/6510381/819de243a912/CTS-12-302-g001.jpg

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