• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Probabilistic risk assessment of gold nanoparticles after intravenous administration by integrating in vitro and in vivo toxicity with physiologically based pharmacokinetic modeling.静脉注射金纳米粒子的概率风险评估,通过将体外和体内毒性与基于生理学的药代动力学模型相结合。
Nanotoxicology. 2018 Jun;12(5):453-469. doi: 10.1080/17435390.2018.1459922. Epub 2018 Apr 14.
2
Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats.开发一种多途径生理药代动力学(PBPK)纳米材料模型:传统途径与新型特定途径在大鼠体内应用金纳米粒子的比较。
Part Fibre Toxicol. 2022 Jul 8;19(1):47. doi: 10.1186/s12989-022-00489-4.
3
Probabilistic human health risk assessment of perfluorooctane sulfonate (PFOS) by integrating in vitro, in vivo toxicity, and human epidemiological studies using a Bayesian-based dose-response assessment coupled with physiologically based pharmacokinetic (PBPK) modeling approach.通过整合体外、体内毒性以及人类流行病学研究,采用基于贝叶斯剂量反应评估并结合生理药代动力学(PBPK)建模方法,对全氟辛烷磺酸(PFOS)进行概率性人类健康风险评估。
Environ Int. 2020 Apr;137:105581. doi: 10.1016/j.envint.2020.105581. Epub 2020 Feb 19.
4
A computational framework for interspecies pharmacokinetics, exposure and toxicity assessment of gold nanoparticles.一种用于评估金纳米颗粒的种间药代动力学、暴露和毒性的计算框架。
Nanomedicine (Lond). 2016 Jan;11(2):107-19. doi: 10.2217/nnm.15.177. Epub 2015 Dec 11.
5
Endocytosis mechanism in physiologically-based pharmacokinetic modeling of nanoparticles.纳米颗粒生理药代动力学模型中的内吞作用机制。
Toxicol Appl Pharmacol. 2019 Dec 1;384:114765. doi: 10.1016/j.taap.2019.114765. Epub 2019 Oct 31.
6
Bayesian evaluation of a physiologically based pharmacokinetic (PBPK) model for perfluorooctane sulfonate (PFOS) to characterize the interspecies uncertainty between mice, rats, monkeys, and humans: Development and performance verification.基于生理学的药代动力学(PBPK)模型评估全氟辛烷磺酸(PFOS)在小鼠、大鼠、猴子和人类之间的种间不确定性:开发和性能验证。
Environ Int. 2019 Aug;129:408-422. doi: 10.1016/j.envint.2019.03.058. Epub 2019 May 29.
7
A physiologically based pharmacokinetic model for polyethylene glycol-coated gold nanoparticles of different sizes in adult mice.成年小鼠体内不同尺寸聚乙二醇包被金纳米颗粒的生理药代动力学模型
Nanotoxicology. 2016;10(2):162-72. doi: 10.3109/17435390.2015.1027314. Epub 2015 May 11.
8
Modeling gold nanoparticle biodistribution after arterial infusion into perfused tissue: effects of surface coating, size and protein corona.经动脉输注到灌注组织后金纳米颗粒的生物分布建模:表面涂层、大小和蛋白冠的影响。
Nanotoxicology. 2018 Dec;12(10):1093-1112. doi: 10.1080/17435390.2018.1476986. Epub 2018 Jun 1.
9
Reassessing benzene risks using internal doses and Monte-Carlo uncertainty analysis.使用内部剂量和蒙特卡洛不确定性分析重新评估苯风险。
Environ Health Perspect. 1996 Dec;104 Suppl 6(Suppl 6):1413-29. doi: 10.1289/ehp.961041413.
10
Cytotoxicity, intracellular localization and exocytosis of citrate capped and PEG functionalized gold nanoparticles in human hepatocyte and kidney cells.柠檬酸稳定和聚乙二醇功能化金纳米粒子在人肝细胞和肾细胞中的细胞毒性、细胞内定位和胞吐作用。
Cell Biol Toxicol. 2016 Aug;32(4):305-21. doi: 10.1007/s10565-016-9336-y. Epub 2016 May 16.

引用本文的文献

1
Advances in Physiologically Based Pharmacokinetic (PBPK) Modeling of Nanomaterials.基于生理学的纳米材料药代动力学(PBPK)建模进展。
ACS Pharmacol Transl Sci. 2024 Jul 12;7(8):2251-2279. doi: 10.1021/acsptsci.4c00250. eCollection 2024 Aug 9.
2
Computational Nanotoxicology Models for Environmental Risk Assessment of Engineered Nanomaterials.用于工程纳米材料环境风险评估的计算纳米毒理学模型
Nanomaterials (Basel). 2024 Jan 10;14(2):155. doi: 10.3390/nano14020155.
3
Pharmacokinetics and tumor delivery of nanoparticles.纳米颗粒的药代动力学与肿瘤递送
J Drug Deliv Sci Technol. 2023 May;83. doi: 10.1016/j.jddst.2023.104404. Epub 2023 Apr 5.
4
Integration of In Vitro and In Vivo Models to Predict Cellular and Tissue Dosimetry of Nanomaterials Using Physiologically Based Pharmacokinetic Modeling.利用基于生理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。
ACS Nano. 2022 Dec 27;16(12):19722-19754. doi: 10.1021/acsnano.2c07312. Epub 2022 Dec 15.
5
Toxicokinetics, dose-response, and risk assessment of nanomaterials: Methodology, challenges, and future perspectives.纳米材料的毒代动力学、剂量反应和风险评估:方法学、挑战和未来展望。
Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2022 Nov;14(6):e1808. doi: 10.1002/wnan.1808.
6
PEGylated Gold Nanoparticles Target Age-Associated B Cells In Vivo.聚乙二醇化金纳米颗粒在体内靶向与年龄相关的 B 细胞。
ACS Nano. 2022 Nov 22;16(11):18119-18132. doi: 10.1021/acsnano.2c04871. Epub 2022 Oct 27.
7
Generic prediction of exocytosis rate constants by size-based surface energies of nanoparticles and cells.基于纳米颗粒和细胞的大小相关表面能对胞吐率常数进行普适预测。
Sci Rep. 2022 Oct 24;12(1):17813. doi: 10.1038/s41598-022-20761-z.
8
In vivo bio-distribution and acute toxicity evaluation of greenly synthesized ultra-small gold nanoparticles with different biological activities.具有不同生物活性的绿色合成超小金纳米颗粒的体内生物分布及急性毒性评估
Sci Rep. 2022 Apr 15;12(1):6269. doi: 10.1038/s41598-022-10251-7.
9
Pharmacokinetics of PEGylated Gold Nanoparticles: In Vitro-In Vivo Correlation.聚乙二醇化金纳米颗粒的药代动力学:体外-体内相关性
Nanomaterials (Basel). 2022 Feb 1;12(3):511. doi: 10.3390/nano12030511.
10
Development of a Gestational and Lactational Physiologically Based Pharmacokinetic (PBPK) Model for Perfluorooctane Sulfonate (PFOS) in Rats and Humans and Its Implications in the Derivation of Health-Based Toxicity Values.发展一种用于大鼠和人体的全氟辛烷磺酸(PFOS)的妊娠和哺乳期生理药代动力学(PBPK)模型及其在推导基于健康的毒性值中的应用。
Environ Health Perspect. 2021 Mar;129(3):37004. doi: 10.1289/EHP7671. Epub 2021 Mar 17.

本文引用的文献

1
Integration of genome-scale metabolic networks into whole-body PBPK models shows phenotype-specific cases of drug-induced metabolic perturbation.将基因组规模代谢网络整合到全身生理药代动力学(PBPK)模型中,显示出药物诱导的代谢扰动的表型特异性情况。
NPJ Syst Biol Appl. 2018 Feb 26;4:10. doi: 10.1038/s41540-018-0048-1. eCollection 2018.
2
Integration of Genome Scale Metabolic Networks and Gene Regulation of Metabolic Enzymes With Physiologically Based Pharmacokinetics.基因组尺度代谢网络与代谢酶基因调控的整合及其与基于生理的药代动力学的关系。
CPT Pharmacometrics Syst Pharmacol. 2017 Nov;6(11):732-746. doi: 10.1002/psp4.12230. Epub 2017 Sep 8.
3
Development and application of a population physiologically based pharmacokinetic model for penicillin G in swine and cattle for food safety assessment.用于食品安全评估的猪和牛青霉素G群体生理药代动力学模型的开发与应用
Food Chem Toxicol. 2017 Sep;107(Pt A):74-87. doi: 10.1016/j.fct.2017.06.023. Epub 2017 Jun 13.
4
Biocorona formation on gold nanoparticles modulates human proximal tubule kidney cell uptake, cytotoxicity and gene expression.金纳米颗粒上生物冠的形成调节人近端肾小管细胞摄取、细胞毒性和基因表达。
Toxicol In Vitro. 2017 Aug;42:150-160. doi: 10.1016/j.tiv.2017.04.020. Epub 2017 Apr 19.
5
Surface chemistry of gold nanoparticles determines the biocorona composition impacting cellular uptake, toxicity and gene expression profiles in human endothelial cells.金纳米颗粒的表面化学决定了生物被膜的组成,从而影响人内皮细胞的摄取、毒性和基因表达谱。
Nanotoxicology. 2017 May;11(4):507-519. doi: 10.1080/17435390.2017.1314036. Epub 2017 Apr 19.
6
Performance Assessment and Translation of Physiologically Based Pharmacokinetic Models From acslX to Berkeley Madonna, MATLAB, and R Language: Oxytetracycline and Gold Nanoparticles As Case Examples.从 acslX 到 Berkeley Madonna、MATLAB 和 R 语言的生理基于药代动力学模型的性能评估和翻译:土霉素和金纳米粒子作为案例研究。
Toxicol Sci. 2017 Jul 1;158(1):23-35. doi: 10.1093/toxsci/kfx070.
7
Combining transcriptomics and PBPK modeling indicates a primary role of hypoxia and altered circadian signaling in dichloromethane carcinogenicity in mouse lung and liver.结合转录组学和生理药代动力学(PBPK)模型表明,缺氧和昼夜节律信号改变在二氯甲烷对小鼠肺和肝脏致癌性中起主要作用。
Toxicol Appl Pharmacol. 2017 Oct 1;332:149-158. doi: 10.1016/j.taap.2017.04.002. Epub 2017 Apr 7.
8
Toxicity and Biokinetics of Colloidal Gold Nanoparticles.胶体金纳米颗粒的毒性与生物动力学
Nanomaterials (Basel). 2015 May 21;5(2):835-850. doi: 10.3390/nano5020835.
9
Quantitative biokinetics of titanium dioxide nanoparticles after intratracheal instillation in rats: Part 3.气管滴注染毒后大鼠体内二氧化钛纳米颗粒的定量生物动力学:第 3 部分。
Nanotoxicology. 2017 May;11(4):454-464. doi: 10.1080/17435390.2017.1306894. Epub 2017 Apr 3.
10
Quantitative biokinetics of titanium dioxide nanoparticles after oral application in rats: Part 2.口服给予大鼠后二氧化钛纳米颗粒的定量生物动力学:第 2 部分。
Nanotoxicology. 2017 May;11(4):443-453. doi: 10.1080/17435390.2017.1306893. Epub 2017 Apr 3.

静脉注射金纳米粒子的概率风险评估,通过将体外和体内毒性与基于生理学的药代动力学模型相结合。

Probabilistic risk assessment of gold nanoparticles after intravenous administration by integrating in vitro and in vivo toxicity with physiologically based pharmacokinetic modeling.

机构信息

a Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine , Kansas State University , Manhattan , KS , USA.

b Nanotechnology Innovation Center of Kansas State (NICKS), Department of Anatomy and Physiology, College of Veterinary Medicine , Kansas State University , Manhattan , KS , USA.

出版信息

Nanotoxicology. 2018 Jun;12(5):453-469. doi: 10.1080/17435390.2018.1459922. Epub 2018 Apr 14.

DOI:10.1080/17435390.2018.1459922
PMID:29658401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6051695/
Abstract

This study aimed to conduct an integrated and probabilistic risk assessment of gold nanoparticles (AuNPs) based on recently published in vitro and in vivo toxicity studies coupled to a physiologically based pharmacokinetic (PBPK) model. Dose-response relationships were characterized based on cell viability assays in various human cell types. A previously well-validated human PBPK model for AuNPs was applied to quantify internal concentrations in liver, kidney, skin, and venous plasma. By applying a Bayesian-based probabilistic risk assessment approach incorporating Monte Carlo simulation, probable human cell death fractions were characterized. Additionally, we implemented in vitro to in vivo and animal-to-human extrapolation approaches to independently estimate external exposure levels of AuNPs that cause minimal toxicity. Our results suggest that under the highest dosing level employed in existing animal studies (worst-case scenario), AuNPs coated with branched polyethylenimine (BPEI) would likely induce ∼90-100% cellular death, implying high cytotoxicity compared to <10% cell death induced by low-to-medium animal dosing levels, which are commonly used in animal studies. The estimated human equivalent doses associated with 5% cell death in liver and kidney were around 1 and 3 mg/kg, respectively. Based on points of departure reported in animal studies, the human equivalent dose estimates associated with gene expression changes and tissue cell apoptosis in liver were 0.005 and 0.5 mg/kg, respectively. Our analyzes provide insights into safety evaluation, risk prediction, and point of departure estimation of AuNP exposure for humans and illustrate an approach that could be applied to other NPs when sufficient data are available.

摘要

本研究旨在对基于最近发表的体外和体内毒性研究的金纳米颗粒(AuNPs)进行综合和概率风险评估,并结合生理相关药代动力学(PBPK)模型。基于各种人类细胞类型的细胞活力测定来描述剂量-反应关系。应用先前经过良好验证的用于 AuNPs 的人体 PBPK 模型来量化肝脏、肾脏、皮肤和静脉血浆中的内部浓度。通过应用结合蒙特卡罗模拟的基于贝叶斯的概率风险评估方法,对可能导致人类细胞死亡的分数进行了描述。此外,我们实施了体外到体内和动物到人类的外推方法,以独立估计导致最小毒性的 AuNP 的外部暴露水平。我们的结果表明,在现有动物研究中使用的最高剂量水平下(最坏情况),用支化聚乙烯亚胺(BPEI)涂覆的 AuNPs 可能会导致约 90-100%的细胞死亡,与动物研究中常用的低至中等动物剂量水平引起的<10%细胞死亡相比,具有较高的细胞毒性。与肝脏和肾脏 5%细胞死亡相关的人体等效剂量约为 1 和 3mg/kg。基于动物研究中报告的起始点,与肝脏中基因表达变化和组织细胞凋亡相关的人体等效剂量估计值分别为 0.005 和 0.5mg/kg。我们的分析为 AuNP 暴露对人类的安全性评估、风险预测和起始点估计提供了深入了解,并展示了一种在有足够数据时可应用于其他纳米颗粒的方法。