• 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

利用[具体内容]和人体生物监测数据,开发、测试、参数化并校准用于增塑剂己二酸二(2-乙基己基)酯(DEHA)的人体生理药代动力学(PBK)模型。

Development, testing, parameterisation, and calibration of a human PBK model for the plasticiser, di (2-ethylhexyl) adipate (DEHA) using , and human biomonitoring data.

作者信息

McNally Kevin, Sams Craig, Loizou George

机构信息

Health and Safety Executive, Harpur Hill, Buxton, United Kingdom.

出版信息

Front Pharmacol. 2023 Mar 23;14:1165770. doi: 10.3389/fphar.2023.1165770. eCollection 2023.

DOI:10.3389/fphar.2023.1165770
PMID:37033641
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10076754/
Abstract

A physiologically based biokinetic model for di (2-ethylhexyl) adipate (DEHA) based on a refined model for di-(2-propylheptyl) phthalate (DPHP) was developed to interpret the metabolism and biokinetics of DEHA following a single oral dosage of 50 mg to two male and two female volunteers. The model was parameterized using and methods such as, measured intrinsic hepatic clearance scaled from to and algorithmically predicted parameters such as plasma unbound fraction and tissue:blood partition coefficients (PCs). Calibration of the DEHA model was achieved using concentrations of specific downstream metabolites of DEHA excreted in urine. The total fractions of ingested DEHA eliminated as specific metabolites were estimated and were sufficient for interpreting the human biomonitoring data. The specific metabolites of DEHA, mono-2-ethyl-5-hydroxyhexyl adipate (5OH-MEHA), mono-2-ethyl-5-oxohexyl adipate (5oxo-MEHA), mono-5-carboxy-2-ethylpentyl adipate (5cx-MEPA) only accounted for ∼0.45% of the ingested DEHA. Importantly, the measurements of adipic acid, a non-specific metabolite of DEHA, proved to be important in model calibration. The very prominent trends in the urinary excretion of the metabolites, 5cx-MEPA and 5OH-MEHA allowed the important absorption mechanisms of DEHA to be modelled. The model should be useful for the study of exposure to DEHA of the general human population.

摘要

基于邻苯二甲酸二(2-丙基庚基)酯(DPHP)的改进模型,开发了一种基于生理的己二酸二(2-乙基己基)酯(DEHA)生物动力学模型,以解释50毫克单一口服剂量DEHA在两名男性和两名女性志愿者体内的代谢和生物动力学情况。该模型使用了多种参数化方法,如从[具体范围]缩放的实测肝脏内在清除率,以及通过算法预测的参数,如血浆未结合分数和组织:血液分配系数(PCs)。DEHA模型通过尿液中排出的DEHA特定下游代谢物的浓度进行校准。估计了作为特定代谢物消除的摄入DEHA的总分数,这些分数足以解释人体生物监测数据。DEHA的特定代谢物,单-2-乙基-5-羟基己基己二酸酯(5OH-MEHA)、单-2-乙基-5-氧代己基己二酸酯(5oxo-MEHA)、单-5-羧基-2-乙基戊基己二酸酯(5cx-MEPA)仅占摄入DEHA的约0.45%。重要的是,DEHA的非特异性代谢物己二酸的测量在模型校准中被证明是重要的。代谢物5cx-MEPA和5OH-MEHA在尿液排泄中的非常显著的趋势使得能够对DEHA的重要吸收机制进行建模。该模型对于研究一般人群对DEHA的暴露应该是有用的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/d3853c057f8e/fphar-14-1165770-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/b8a8d3b1dd22/fphar-14-1165770-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/167c063fa84f/fphar-14-1165770-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/1fedb73d0d23/fphar-14-1165770-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/0660481aad65/fphar-14-1165770-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/ded13e91a635/fphar-14-1165770-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/d18b6c509c04/fphar-14-1165770-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/d3853c057f8e/fphar-14-1165770-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/b8a8d3b1dd22/fphar-14-1165770-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/167c063fa84f/fphar-14-1165770-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/1fedb73d0d23/fphar-14-1165770-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/0660481aad65/fphar-14-1165770-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/ded13e91a635/fphar-14-1165770-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/d18b6c509c04/fphar-14-1165770-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fab/10076754/d3853c057f8e/fphar-14-1165770-g007.jpg

相似文献

1
Development, testing, parameterisation, and calibration of a human PBK model for the plasticiser, di (2-ethylhexyl) adipate (DEHA) using , and human biomonitoring data.利用[具体内容]和人体生物监测数据,开发、测试、参数化并校准用于增塑剂己二酸二(2-乙基己基)酯(DEHA)的人体生理药代动力学(PBK)模型。
Front Pharmacol. 2023 Mar 23;14:1165770. doi: 10.3389/fphar.2023.1165770. eCollection 2023.
2
Metabolism and urinary excretion kinetics of di(2-ethylhexyl) adipate (DEHA) in four human volunteers after a single oral dose.四人志愿者单次口服二(2-乙基己基)己二酸(DEHA)后的代谢和尿排泄动力学。
Toxicol Lett. 2020 Mar 15;321:95-102. doi: 10.1016/j.toxlet.2019.12.006. Epub 2019 Dec 6.
3
Determination of human urinary metabolites of the plasticizer di(2-ethylhexyl) adipate (DEHA) by online-SPE-HPLC-MS/MS.采用在线固相萃取-高效液相色谱-串联质谱法测定增塑剂邻苯二甲酸二(2-乙基己基)酯(DEHA)在人尿中的代谢物。
J Chromatogr B Analyt Technol Biomed Life Sci. 2019 Aug 15;1124:239-246. doi: 10.1016/j.jchromb.2019.06.019. Epub 2019 Jun 17.
4
Development, testing, parameterisation, and calibration of a human PBPK model for the plasticiser, di-(2-ethylhexyl) terephthalate (DEHTP) using , and human biomonitoring data.利用[具体内容]和人体生物监测数据,开发、测试、参数化并校准用于增塑剂对苯二甲酸二(2-乙基己基)酯(DEHTP)的人体生理药代动力学(PBPK)模型。
Front Pharmacol. 2023 Feb 20;14:1140852. doi: 10.3389/fphar.2023.1140852. eCollection 2023.
5
In vitro metabolites of di-2-ethylhexyl adipate (DEHA) as biomarkers of exposure in human biomonitoring applications.邻苯二甲酸二(2-乙基己基)酯(DEHA)的体外代谢物作为人体生物监测应用中暴露标志物。
Chem Res Toxicol. 2013 Oct 21;26(10):1498-502. doi: 10.1021/tx400215z. Epub 2013 Sep 24.
6
Development, Testing, Parameterisation and Calibration of a Human PBPK Model for the Plasticiser, Di-(2-propylheptyl) Phthalate (DPHP) Using in Silico, and Human Biomonitoring Data.利用计算机模拟和人体生物监测数据开发、测试、参数化及校准用于增塑剂邻苯二甲酸二(2-丙基庚基)酯(DPHP)的人体生理药代动力学(PBPK)模型
Front Pharmacol. 2021 Sep 2;12:692442. doi: 10.3389/fphar.2021.692442. eCollection 2021.
7
Non-mutagenicity of 4 metabolites of di(2-ethylhexyl)phthalate (DEHP) and 3 structurally related derivatives of di(2-ethylhexyl)adipate (DEHA) in the Salmonella mutagenicity assay.邻苯二甲酸二(2-乙基己基)酯(DEHP)的4种代谢物及己二酸二(2-乙基己基)酯(DEHA)的3种结构相关衍生物在沙门氏菌致突变性试验中的非诱变性。
Mutat Res. 1991 May;260(1):121-30. doi: 10.1016/0165-1218(91)90088-4.
8
Human skin absorption of three plasticizers: Diisononyl-1,2-cyclohexanedicarboxylate (DINCH), di(2-ethylhexyl) terephthalate (DEHTP), and di(2-ethylhexyl) adipate (DEHA).人体皮肤对三种增塑剂的吸收:邻苯二甲酸二异壬酯(DINCH)、邻苯二甲酸二(2-乙基己基)酯(DEHTP)和己二酸二(2-乙基己基)酯(DEHA)。
Toxicol Lett. 2024 Oct;400:104-112. doi: 10.1016/j.toxlet.2024.08.002. Epub 2024 Aug 10.
9
New metabolites of di(2-ethylhexyl)phthalate (DEHP) in human urine and serum after single oral doses of deuterium-labelled DEHP.单次口服氘标记邻苯二甲酸二(2-乙基己基)酯(DEHP)后人体尿液和血清中DEHP的新代谢产物
Arch Toxicol. 2005 Jul;79(7):367-76. doi: 10.1007/s00204-004-0642-4. Epub 2005 Feb 8.
10
Development and validation of a bioanalytical assay based on liquid chromatography-tandem mass spectrometry for measuring biomarkers of exposure of alternative plasticizers in human urine and serum.开发并验证了一种基于液相色谱-串联质谱的生物分析测定法,用于测量人尿液和血清中替代增塑剂暴露的生物标志物。
Talanta. 2019 Jun 1;198:230-236. doi: 10.1016/j.talanta.2019.02.024. Epub 2019 Feb 5.

本文引用的文献

1
Development, testing, parameterisation, and calibration of a human PBPK model for the plasticiser, di-(2-ethylhexyl) terephthalate (DEHTP) using , and human biomonitoring data.利用[具体内容]和人体生物监测数据,开发、测试、参数化并校准用于增塑剂对苯二甲酸二(2-乙基己基)酯(DEHTP)的人体生理药代动力学(PBPK)模型。
Front Pharmacol. 2023 Feb 20;14:1140852. doi: 10.3389/fphar.2023.1140852. eCollection 2023.
2
Development, Testing, Parameterisation and Calibration of a Human PBPK Model for the Plasticiser, Di-(2-propylheptyl) Phthalate (DPHP) Using in Silico, and Human Biomonitoring Data.利用计算机模拟和人体生物监测数据开发、测试、参数化及校准用于增塑剂邻苯二甲酸二(2-丙基庚基)酯(DPHP)的人体生理药代动力学(PBPK)模型
Front Pharmacol. 2021 Sep 2;12:692442. doi: 10.3389/fphar.2021.692442. eCollection 2021.
3
Well-tempered MCMC simulations for population pharmacokinetic models.经过良好调整的群体药代动力学模型的 MCMC 模拟。
J Pharmacokinet Pharmacodyn. 2020 Dec;47(6):543-559. doi: 10.1007/s10928-020-09705-0. Epub 2020 Jul 31.
4
Development, Testing, Parameterization, and Calibration of a Human Physiologically Based Pharmacokinetic Model for the Plasticizer, Hexamoll Diisononyl-Cyclohexane-1, 2-Dicarboxylate Using , , and Human Biomonitoring Data.基于人体生理的增塑剂己二酸二异壬酯-环己烷-1,2-二羧酸酯药代动力学模型的开发、测试、参数化及校准,使用了……和人体生物监测数据 。 (注:原文中“Using”后面内容缺失)
Front Pharmacol. 2019 Nov 29;10:1394. doi: 10.3389/fphar.2019.01394. eCollection 2019.
5
Metabolism and urinary excretion kinetics of di(2-ethylhexyl) adipate (DEHA) in four human volunteers after a single oral dose.四人志愿者单次口服二(2-乙基己基)己二酸(DEHA)后的代谢和尿排泄动力学。
Toxicol Lett. 2020 Mar 15;321:95-102. doi: 10.1016/j.toxlet.2019.12.006. Epub 2019 Dec 6.
6
Simultaneous determination of legacy and emerging organophosphorus flame retardants and plasticizers in indoor dust using liquid and gas chromatography-tandem mass spectrometry: method development, validation, and application.采用液质联用和气质联用技术同时测定室内灰尘中的传统和新型有机磷阻燃剂和增塑剂:方法开发、验证和应用。
Anal Bioanal Chem. 2019 Oct;411(26):7015-7025. doi: 10.1007/s00216-019-02078-5. Epub 2019 Sep 12.
7
Reduction of hazardous chemicals in Swedish preschool dust through article substitution actions.通过物品替换行动减少瑞典学前教育环境灰尘中的有害化学物质。
Environ Int. 2019 Sep;130:104921. doi: 10.1016/j.envint.2019.104921. Epub 2019 Jun 20.
8
In vitro-to-in vivo extrapolation (IVIVE) by PBTK modeling for animal-free risk assessment approaches of potential endocrine-disrupting compounds.基于生理药代动力学(PBPK)模型的体外至体内外推法(IVIVE)在无动物风险评估方法中评估潜在内分泌干扰化合物的应用。
Arch Toxicol. 2019 Feb;93(2):401-416. doi: 10.1007/s00204-018-2372-z. Epub 2018 Dec 14.
9
httk: R Package for High-Throughput Toxicokinetics.httk:用于高通量毒物动力学的R软件包。
J Stat Softw. 2017 Jul 17;79(4):1-26. doi: 10.18637/jss.v079.i04.
10
Structural and functional pharmacokinetic analogs for physiologically based pharmacokinetic (PBPK) model evaluation.用于生理药代动力学(PBPK)模型评估的结构和功能药代动力学类似物。
Regul Toxicol Pharmacol. 2018 Nov;99:61-77. doi: 10.1016/j.yrtph.2018.09.008. Epub 2018 Sep 8.