Integration of In Vitro and In Vivo Models to Predict Cellular and Tissue Dosimetry of Nanomaterials Using Physiologically Based Pharmacokinetic Modeling.
Integration of In Vitro and In Vivo Models to Predict Cellular and Tissue Dosimetry of Nanomaterials Using Physiologically Based Pharmacokinetic Modeling.
复制标题
利用基于生理学的药代动力学模型,整合体外和体内模型预测纳米材料的细胞和组织剂量。
DOI:
10.1021/acsnano.2c07312
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发表时间:
2022-12-27
期刊:
影响因子:
17.1
通讯作者:
Gesquiere, Andre J.
中科院分区:
文献类型:
--
作者:
Lin, Zhoumeng;Aryal, Santosh;Cheng, Yi-Hsien;Gesquiere, Andre J.
关键词:
Nanomaterials (NMs) have been increasingly used in a number of areas, including consumer products and nanomedicine. Target tissue dosimetry is important in the evaluation of safety, efficacy, and potential toxicity of NMs. Current evaluation of NM efficacy and safety involves the time-consuming collection of pharmacokinetic and toxicity data in animals and is usually completed one material at a time. This traditional approach no longer meets the demand of the explosive growth of NM-based products. There is an emerging need to develop methods that can help design safe and effective NMs in an efficient manner. In this review article, we critically evaluate existing studies on in vivo pharmacokinetic properties, in vitro cellular uptake and release and kinetic modeling, and whole-body physiologically based pharmacokinetic (PBPK) modeling studies of different NMs. Methods on how to simulate in vitro cellular uptake and release kinetics and how to extrapolate cellular and tissue dosimetry of NMs from in vitro to in vivo via PBPK modeling are discussed. We also share our perspectives on the current challenges and future directions of in vivo pharmacokinetic studies, in vitro cellular uptake and kinetic modeling, and whole-body PBPK modeling studies for NMs. Finally, we propose a nanomaterial in vitro to in vivo extrapolation via physiologically based pharmacokinetic modeling (Nano−IVIVE−PBPK) framework for high-throughput screening of target cellular and tissue dosimetry as well as potential toxicity of different NMs in order to meet the demand of efficient evaluation of the safety, efficacy, and potential toxicity of a rapidly increasing number of NM-based products.
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影响因子:
5.4
作者:
Bulbake U;Doppalapudi S;Kommineni N;Khan W
通讯作者:
Khan W
影响因子:
3.1
作者:
Torrano AA;Bräuchle C
通讯作者:
Bräuchle C
影响因子:
5
作者:
Bachler, Gerald;von Goetz, Natalie;Hungerbuhler, Konrad
通讯作者:
Hungerbuhler, Konrad
影响因子:
17.1
作者:
Au L;Zhang Q;Cobley CM;Gidding M;Schwartz AG;Chen J;Xia Y
通讯作者:
Xia Y
DOI:
10.1002/wnan.1808
发表时间:
2022-11
期刊:
Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
影响因子:
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作者:
通讯作者:
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