基于生理学的药代动力学建模和转运体蛋白质组学,预测他汀类药物在肝脏和肌肉的全身和局部处置。

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-04-04 DOI:10.1002/psp4.13139
Luna Prieto Garcia, Anna Vildhede, Pär Nordell, Christine Ahlström, Ahmed B. Montaser, Tetsuya Terasaki, Hans Lennernäs, Erik Sjögren
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引用次数: 0

摘要

他汀类药物用于降低肝脏胆固醇水平,但也存在与剂量相关的骨骼肌毒性风险。他汀类药物在血浆中的浓度通常用于评估疗效和安全性,但由于他汀类药物是存在于不同组织中的膜转运体的底物,因此不能排除细胞内组织浓度的局部差异。因此,血浆浓度可能不是疗效和毒性的适当指标。为了弥补这一缺陷,我们使用基于生理学的药代动力学(PBPK)模型来预测他汀类药物的细胞内浓度。通过整合靶向蛋白质组学和转运体动力学数据,将转运体清除率的定量数据从体外条件放大到体内条件。根据蛋白质组学建立的 PBPK 模型表明,有机阴离子转运多肽 2B1 (OATP2B1) 和多药耐药性相关蛋白 1 (MRP1) 对他汀类药物在肌肉中的分布起着关键作用。利用这些 PBPK 模型,我们能够预测基因型或药物间相互作用导致的转运体功能改变对他汀类药物在肝脏和肌肉中的全身浓度和暴露的影响。这些结果凸显了蛋白质组学指导下的 PBPK 模型的潜力,它可以将体外数据中的转运体清除率放大到现实世界中的影响。在预测与靶内外效应相关的组织暴露时,评估药物转运体的作用非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Physiologically based pharmacokinetics modeling and transporter proteomics to predict systemic and local liver and muscle disposition of statins

Statins are used to reduce liver cholesterol levels but also carry a dose-related risk of skeletal muscle toxicity. Concentrations of statins in plasma are often used to assess efficacy and safety, but because statins are substrates of membrane transporters that are present in diverse tissues, local differences in intracellular tissue concentrations cannot be ruled out. Thus, plasma concentration may not be an adequate indicator of efficacy and toxicity. To bridge this gap, we used physiologically based pharmacokinetic (PBPK) modeling to predict intracellular concentrations of statins. Quantitative data on transporter clearance were scaled from in vitro to in vivo conditions by integrating targeted proteomics and transporter kinetics data. The developed PBPK models, informed by proteomics, suggested that organic anion–transporting polypeptide 2B1 (OATP2B1) and multidrug resistance–associated protein 1 (MRP1) play a pivotal role in the distribution of statins in muscle. Using these PBPK models, we were able to predict the impact of alterations in transporter function due to genotype or drug–drug interactions on statin systemic concentrations and exposure in liver and muscle. These results underscore the potential of proteomics-guided PBPK modeling to scale transporter clearance from in vitro data to real-world implications. It is important to evaluate the role of drug transporters when predicting tissue exposure associated with on- and off-target effects.

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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
期刊最新文献
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