• 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

基于生理学的药代动力学(PBPK)模型指导下的儿科临床用药指南:特殊人群的实用方法。

Physiologically Based Pharmacokinetic (PBPK) Model-Informed Dosing Guidelines for Pediatric Clinical Care: A Pragmatic Approach for a Special Population.

机构信息

Department of Pharmacology and Toxicology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.

Intensive Care and Department of Pediatrics Surgery, Erasmus MC-Sophia Children's Hospital, Rotterdam, The Netherlands.

出版信息

Paediatr Drugs. 2023 Jan;25(1):5-11. doi: 10.1007/s40272-022-00535-w. Epub 2022 Oct 6.

DOI:10.1007/s40272-022-00535-w
PMID:36201128
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9534738/
Abstract

Physiologically based pharmacokinetic (PBPK) modeling can be an attractive tool to increase the evidence base of pediatric drug dosing recommendations by making optimal use of existing pharmacokinetic (PK) data. A pragmatic approach of combining available compound models with a virtual pediatric physiology model can be a rational solution to predict PK and hence support dosing guidelines for children in real-life clinical care, when it can also be employed by individuals with little experience in PBPK modeling. This comes within reach as user-friendly PBPK modeling platforms exist and, for many drugs and populations, models are ready for use. We have identified a list of drugs that can serve as a starting point for pragmatic PBPK modeling to address current clinical dosing needs.

摘要

生理药代动力学(PBPK)模型可以通过充分利用现有的药代动力学(PK)数据,成为增加儿科药物剂量推荐证据基础的有吸引力的工具。将可用的化合物模型与虚拟儿科生理模型相结合的实用方法,是一种合理的解决方案,可以预测 PK,从而为现实临床护理中的儿童提供剂量指南,即使对于在 PBPK 建模方面经验有限的个人,也可以使用该方法。这是因为现在有了用户友好的 PBPK 建模平台,并且对于许多药物和人群,模型已经可以使用。我们已经确定了一系列可以作为实用 PBPK 建模起点的药物,以解决当前的临床剂量需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e02/9810680/80214c3e9357/40272_2022_535_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e02/9810680/b49c8fc1239a/40272_2022_535_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e02/9810680/80214c3e9357/40272_2022_535_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e02/9810680/b49c8fc1239a/40272_2022_535_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e02/9810680/80214c3e9357/40272_2022_535_Fig2_HTML.jpg

相似文献

1
Physiologically Based Pharmacokinetic (PBPK) Model-Informed Dosing Guidelines for Pediatric Clinical Care: A Pragmatic Approach for a Special Population.基于生理学的药代动力学(PBPK)模型指导下的儿科临床用药指南:特殊人群的实用方法。
Paediatr Drugs. 2023 Jan;25(1):5-11. doi: 10.1007/s40272-022-00535-w. Epub 2022 Oct 6.
2
Feasibility of a Pragmatic PBPK Modeling Approach: Towards Model-Informed Dosing in Pediatric Clinical Care.实用型 PBPK 建模方法的可行性:迈向儿科临床实践中的模型指导剂量调整。
Clin Pharmacokinet. 2022 Dec;61(12):1705-1717. doi: 10.1007/s40262-022-01181-8. Epub 2022 Nov 11.
3
Pragmatic physiologically-based pharmacokinetic modeling to support clinical implementation of optimized gentamicin dosing in term neonates and infants: proof-of-concept.基于生理学的实用药代动力学建模,以支持足月儿和婴儿优化庆大霉素给药方案的临床实施:概念验证
Front Pediatr. 2023 Nov 21;11:1288376. doi: 10.3389/fped.2023.1288376. eCollection 2023.
4
Physiologically-Based Pharmacokinetic Modeling for Drug Dosing in Pediatric Patients: A Tutorial for a Pragmatic Approach in Clinical Care.基于生理学的儿科患者给药药代动力学建模:临床护理实用方法教程。
Clin Pharmacol Ther. 2023 Nov;114(5):960-971. doi: 10.1002/cpt.3023. Epub 2023 Sep 5.
5
Physiologically-based pharmacokinetic models for children: Starting to reach maturation?基于生理学的儿童药代动力学模型:开始接近成熟?
Pharmacol Ther. 2020 Jul;211:107541. doi: 10.1016/j.pharmthera.2020.107541. Epub 2020 Apr 1.
6
Physiologically-based pharmacokinetic modeling for single and multiple dosing regimens of ceftriaxone in healthy and chronic kidney disease populations: a tool for model-informed precision dosing.基于生理的头孢曲松在健康人群和慢性肾病患者中单剂量和多剂量给药方案的药代动力学建模:一种模型指导精准给药的工具。
Front Pharmacol. 2023 Jul 20;14:1200828. doi: 10.3389/fphar.2023.1200828. eCollection 2023.
7
Getting the dose right using physiologically-based pharmacokinetic modeling: dexamethasone to prevent post-extubation stridor in children as proof of concept.使用基于生理的药代动力学模型确定合适剂量:地塞米松预防儿童拔管后喘鸣作为概念验证
Front Pediatr. 2024 Jul 5;12:1416440. doi: 10.3389/fped.2024.1416440. eCollection 2024.
8
Development and Validation of Physiologically Based Pharmacokinetic Model of Levetiracetam to Predict Exposure and Dose Optimization in Pediatrics.左乙拉西坦基于生理的药代动力学模型的开发与验证,用于预测儿科患者的暴露量和剂量优化。
J Pharm Sci. 2023 Oct;112(10):2667-2675. doi: 10.1016/j.xphs.2023.03.025. Epub 2023 Apr 4.
9
Development of a Pediatric Physiologically-Based Pharmacokinetic Model of Clindamycin Using Opportunistic Pharmacokinetic Data.利用机会性药代动力学数据开发克林霉素小儿药代动力学模型。
Clin Pharmacokinet. 2017 Nov;56(11):1343-1353. doi: 10.1007/s40262-017-0525-5.
10
Physiologically-based pharmacokinetic modeling of pantoprazole to evaluate the role of CYP2C19 genetic variation and obesity in the pediatric population.基于生理学的泮托拉唑药代动力学模型研究,评估 CYP2C19 遗传变异和肥胖在儿科人群中的作用。
CPT Pharmacometrics Syst Pharmacol. 2024 Aug;13(8):1394-1408. doi: 10.1002/psp4.13167. Epub 2024 Jun 4.

引用本文的文献

1
Physiologically-Based Pharmacokinetics and Empirical Pharmacodynamic Modeling for Pediatric Henagliflozin Dosing: Clinical Insights for Chinese Patients.基于生理学的儿童恩格列净给药药代动力学和经验药效学建模:对中国患者的临床见解
Pediatr Diabetes. 2025 Aug 7;2025:8857248. doi: 10.1155/pedi/8857248. eCollection 2025.
2
Application of Physiologically-Based Pharmacokinetic (PBPK) Model in Drug Development and in Dietary Phytochemicals.基于生理的药代动力学(PBPK)模型在药物研发及膳食植物化学物中的应用
Curr Pharmacol Rep. 2025;11(1):45. doi: 10.1007/s40495-025-00427-w. Epub 2025 Aug 8.
3
Physiologically Based Pharmacokinetic Modeling-Based Evaluation of Current Carbamazepine and Valproic Acid Dosing Guidelines for Pediatric Epilepsy Treatment.
基于生理药代动力学模型对儿童癫痫治疗中当前卡马西平和丙戊酸给药指南的评估。
Paediatr Drugs. 2025 Jul 2. doi: 10.1007/s40272-025-00707-4.
4
Physiologically Based Pharmacokinetic Modeling of Tofacitinib: Predicting Drug Exposure and Optimizing Dosage in Special Populations and Drug-Drug Interaction Scenarios.托法替布的生理药代动力学建模:预测特殊人群和药物相互作用情况下的药物暴露并优化剂量
Pharmaceuticals (Basel). 2025 Mar 18;18(3):425. doi: 10.3390/ph18030425.
5
Demystifying physiologically based pharmacokinetic modelling among non-modelers towards model-informed medicine use in under-served populations.向服务不足人群推广模型指导医学应用,帮助非建模者揭开生理基于药代动力学建模的神秘面纱。
Gates Open Res. 2023 Oct 26;7:128. doi: 10.12688/gatesopenres.14896.1. eCollection 2023.
6
Getting the dose right using physiologically-based pharmacokinetic modeling: dexamethasone to prevent post-extubation stridor in children as proof of concept.使用基于生理的药代动力学模型确定合适剂量:地塞米松预防儿童拔管后喘鸣作为概念验证
Front Pediatr. 2024 Jul 5;12:1416440. doi: 10.3389/fped.2024.1416440. eCollection 2024.
7
Advancing Precision Medicine: A Review of Innovative In Silico Approaches for Drug Development, Clinical Pharmacology and Personalized Healthcare.推进精准医学:药物研发、临床药理学和个性化医疗中创新的计算机模拟方法综述。
Pharmaceutics. 2024 Feb 27;16(3):332. doi: 10.3390/pharmaceutics16030332.
8
Prediction of pediatric dose of tirzepatide from the reference adult dose using physiologically based pharmacokinetic modelling.使用基于生理的药代动力学模型从参考成人剂量预测替尔泊肽的儿科剂量。
Front Pharmacol. 2023 Nov 28;14:1326373. doi: 10.3389/fphar.2023.1326373. eCollection 2023.
9
Apixaban and rivaroxaban's physiologically-based pharmacokinetic model validation in hospitalized patients: A first step for larger use of a priori modeling approach at bed side.阿哌沙班和利伐沙班的生理基于药代动力学模型在住院患者中的验证: bedside 条件下更大规模使用先验建模方法的第一步。
CPT Pharmacometrics Syst Pharmacol. 2023 Dec;12(12):1872-1883. doi: 10.1002/psp4.13036. Epub 2023 Oct 4.