Predicting intracellular drug concentrations in the presence of transporters
预测转运蛋白存在下的细胞内药物浓度
基本信息
- 批准号:9595707
- 负责人:
- 金额:$ 34.42万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-01-15 至 2022-07-31
- 项目状态:已结题
- 来源:
- 关键词:Active Biological TransportAddressAdipocytesApicalBlood flowCell Membrane PermeabilityCellsChildhoodClinicalClinical DataConvectionDataDiffusionDoseDrug InteractionsDrug KineticsEnzymesFundingGastrointestinal AgentsGastrointestinal tract structureGenderGeometryGoalsHepaticHumanHybridsIn SituIn VitroIntestinal AbsorptionIntestinesKineticsLipidsLiverMeasurementMembraneMetabolismMethodologyMicroscopyModelingOrganOrganellesPermeabilityPharmaceutical PreparationsPhospholipidsPhysiologicalPublishingRattusReactionResearchResearch InfrastructureSafetySideSiteTechniquesTimeTissuesabsorptionbasebiophysical propertiesbiophysical techniquesbosentancost effectivedesigndosagedrug developmentdrug efficacyextracellularfirst-in-humanimprovedin vivomembrane modelmonolayernamed groupnovelpharmacokinetic modelpredictive modelingpredictive toolssounduptake
项目摘要
The overarching goal of the proposed research is to predict the intracellular and extracellular concentration-
time profiles using models that include membrane partitioning, membrane permeability, organ blood flow,
active transport, and metabolism. In the funding period from 2013-2016, we have made significant progress in
incorporating explicit membrane compartments into predictive models, and we have evaluated in depth the
impact of various membrane geometries and related factors on intracellular concentration prediction. We are
now using the basic principles underlying permeability and partitioning to build a new framework for PBPK
models. This will allow us to incorporate permeability-limited distribution, partitioning, organ blood flow, and
active transport into PBPK models with explicit membrane kinetics (memPBPK). This new paradigm will
provide markedly better predictions of intracellular concentrations, and will address an unmet critical need for
cost effective drug development by providing novel predictive tools for drug disposition in humans.
Three specific aims are proposed. 1) Novel biophysical methods will be used to study the cellular kinetics of
drug permeability and partitioning. Specifically, novel cell microscopy techniques will be used to evaluate the
time-course of cellular distribution and conduct cellular permeability studies in monolayers, and a range of
explicit membrane models developed during the current funding period will be evaluated for their ability to
quantify the observed membrane, organelle, and cellular distribution kinetics. 2) Develop a new framework for
PBPK and hybrid compartmental-PBPK models that incorporate membrane partitioning, permeability-limited
diffusion, and organ blood flow (memPBPK). Components include organ-specific models for use in hybrid and
full PBPK approaches, and models for absorption using our published convection-diffusion-reaction approach.
These models will be used in Aim 3 to incorporate active uptake/efflux transport and metabolism to predict
intra- and extracellular concentration-time profiles. 3) In vivo experimental data from rats and humans will be
used to expand and validate models to predict the time course of intra- and extracellular drug concentrations.
We will focus on modeling the disposition of drugs in the liver and the absorption of drugs from the
gastrointestinal tract in the presence of transporters and drug metabolizing enzymes.
拟议研究的首要目标是预测细胞内和细胞外浓度-
使用包括膜分配,膜渗透性,器官血流,
主动运输和新陈代谢。在2013-2016年的资助期内,我们在以下方面取得了重大进展:
将明确的膜隔室纳入预测模型,我们已经深入评估了
各种膜几何形状和相关因素对细胞内浓度预测的影响。我们
现在使用渗透性和分区的基本原理来构建PBPK的新框架
模型这将使我们能够将渗透性限制的分布、分配、器官血流和
主动转运到具有显式膜动力学的PBPK模型(memPBPK)中。这一新模式将
提供细胞内浓度的明显更好的预测,并将解决未满足的关键需求,
通过为药物在人体中的分布提供新的预测工具,实现成本有效的药物开发。
提出了三个具体目标。1)新的生物物理学方法将被用于研究细胞动力学,
药物渗透和分配。具体而言,将使用新的细胞显微镜技术来评估
细胞分布的时间过程,并在单层中进行细胞渗透性研究,以及一系列
将评估在当前资助期内开发的明确膜模型的能力,
量化观察到的膜、细胞器和细胞分布动力学。2)制定新的框架,
PBPK和混合隔室-PBPK模型,包括膜分配、渗透性限制
扩散和器官血流量(memPBPK)。组件包括用于混合和
完整的PBPK方法,以及使用我们发表的对流-扩散-反应方法的吸收模型。
这些模型将用于目标3,以纳入主动摄取/外排转运和代谢,
细胞内和细胞外浓度-时间曲线。3)来自大鼠和人类的体内实验数据将在
用于扩展和验证模型,以预测细胞内和细胞外药物浓度的时间过程。
我们将集中于模拟药物在肝脏中的分布和药物从肝脏的吸收。
在转运蛋白和药物代谢酶的存在下,胃肠道。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Kenneth Ray Korzekwa其他文献
Kenneth Ray Korzekwa的其他文献
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{{ truncateString('Kenneth Ray Korzekwa', 18)}}的其他基金
Improving prediction of drug interactions mediated by time-dependent inhibitors
改进对时间依赖性抑制剂介导的药物相互作用的预测
- 批准号:
10463665 - 财政年份:2016
- 资助金额:
$ 34.42万 - 项目类别:
Improving prediction of drug interactions mediated by time-dependent inhibitors
改进对时间依赖性抑制剂介导的药物相互作用的预测
- 批准号:
10263382 - 财政年份:2016
- 资助金额:
$ 34.42万 - 项目类别:
Predicting intracellular drug concentrations in the presence of transporters
预测转运蛋白存在下的细胞内药物浓度
- 批准号:
8420573 - 财政年份:2013
- 资助金额:
$ 34.42万 - 项目类别:
Predicting intracellular drug concentrations in the presence of transporters
预测转运蛋白存在下的细胞内药物浓度
- 批准号:
9978828 - 财政年份:2013
- 资助金额:
$ 34.42万 - 项目类别:
Predicting intracellular drug concentrations in the presence of transporters
预测转运蛋白存在下的细胞内药物浓度
- 批准号:
9755448 - 财政年份:2013
- 资助金额:
$ 34.42万 - 项目类别:
Predicting intracellular drug concentrations in the presence of transporters
预测转运蛋白存在下的细胞内药物浓度
- 批准号:
8811989 - 财政年份:2013
- 资助金额:
$ 34.42万 - 项目类别:
Predicting Intracellular Drug Concentrations In The Presence Of Transporters
预测存在转运蛋白的细胞内药物浓度
- 批准号:
10734908 - 财政年份:2013
- 资助金额:
$ 34.42万 - 项目类别:
Predicting intracellular drug concentrations in the presence of transporters
预测转运蛋白存在下的细胞内药物浓度
- 批准号:
10224880 - 财政年份:2013
- 资助金额:
$ 34.42万 - 项目类别:
Predicting intracellular drug concentrations in the presence of transporters
预测转运蛋白存在下的细胞内药物浓度
- 批准号:
8605201 - 财政年份:2013
- 资助金额:
$ 34.42万 - 项目类别:
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