基于生理学的药代动力学模型的建立及早产儿肾脏发育不良对氨茶碱药代动力学影响的评估

IF 0.4 Q4 PHARMACOLOGY & PHARMACY Journal of Pharmacology & Pharmacotherapeutics Pub Date : 2022-03-01 DOI:10.1177/0976500X221080209
Haritha Tummala, Rachana Balusu, S. Thotakura, Achyuth Kumar Pasnoor, Arun Prasath Raju, S. Lal, L. Lewis, S. Mallayasamy
{"title":"基于生理学的药代动力学模型的建立及早产儿肾脏发育不良对氨茶碱药代动力学影响的评估","authors":"Haritha Tummala, Rachana Balusu, S. Thotakura, Achyuth Kumar Pasnoor, Arun Prasath Raju, S. Lal, L. Lewis, S. Mallayasamy","doi":"10.1177/0976500X221080209","DOIUrl":null,"url":null,"abstract":"Objective: To develop a physiologically based pharmacokinetic (PBPK) model for individualization of the dosing regimen considering the physiological requirements of these preterm neonates. Methods: The study comprised preterm newborns with fewer than 34 weeks of gestation and six apneic episodes in 24 h. A PBPK model was created using PK-SIM (version 9, update 1, GitHub, San Francisco, CA, USA). A PBPK model is built using a typical loading dosage of 5 mg/kg and a maintenance dose of 1.5 mg/kg. Based on the verified base model, a PBPK model representing renal underdevelopment based on nRIFLE/pRIFLE categorization was developed. Results: The PK parameters of Aminophylline were computed using the PBPK model. As per the model prediction, T1/2 and area under the curve reduced as postnatal age increased, and in the event of renal underdevelopment, even while C max for patients under R (RISK), I (injury) was within the therapeutic range; it was greater compared to preterm without any renal complications. Mean C max (mol/L) was 59.53 and for R, I, and F (FAILURE) categories the values were 83.04, 99.69, and 126.98, respectively. Conclusion: The model was created using appropriate drug, study subject, and dosage protocol inputs. The established PBPK model could help in individualizing aminophylline dose in preterm babies.","PeriodicalId":16761,"journal":{"name":"Journal of Pharmacology & Pharmacotherapeutics","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Physiologically Based Pharmacokinetic Model and Assessment of the Impact of Renal Underdevelopment in Preterm Infants on the Pharmacokinetics of Aminophylline\",\"authors\":\"Haritha Tummala, Rachana Balusu, S. Thotakura, Achyuth Kumar Pasnoor, Arun Prasath Raju, S. Lal, L. Lewis, S. Mallayasamy\",\"doi\":\"10.1177/0976500X221080209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To develop a physiologically based pharmacokinetic (PBPK) model for individualization of the dosing regimen considering the physiological requirements of these preterm neonates. Methods: The study comprised preterm newborns with fewer than 34 weeks of gestation and six apneic episodes in 24 h. A PBPK model was created using PK-SIM (version 9, update 1, GitHub, San Francisco, CA, USA). A PBPK model is built using a typical loading dosage of 5 mg/kg and a maintenance dose of 1.5 mg/kg. Based on the verified base model, a PBPK model representing renal underdevelopment based on nRIFLE/pRIFLE categorization was developed. Results: The PK parameters of Aminophylline were computed using the PBPK model. As per the model prediction, T1/2 and area under the curve reduced as postnatal age increased, and in the event of renal underdevelopment, even while C max for patients under R (RISK), I (injury) was within the therapeutic range; it was greater compared to preterm without any renal complications. Mean C max (mol/L) was 59.53 and for R, I, and F (FAILURE) categories the values were 83.04, 99.69, and 126.98, respectively. Conclusion: The model was created using appropriate drug, study subject, and dosage protocol inputs. The established PBPK model could help in individualizing aminophylline dose in preterm babies.\",\"PeriodicalId\":16761,\"journal\":{\"name\":\"Journal of Pharmacology & Pharmacotherapeutics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Pharmacology & Pharmacotherapeutics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/0976500X221080209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pharmacology & Pharmacotherapeutics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/0976500X221080209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

摘要

目的:建立一个基于生理学的药代动力学(PBPK)模型,根据这些早产儿的生理需求对给药方案进行个性化。方法:该研究包括妊娠期小于34周的早产新生儿和24小时内6次呼吸暂停发作。使用PK-SIM(版本9,更新1,GitHub,旧金山,CA,USA)创建PBPK模型。使用5mg/kg的典型负荷剂量和1.5mg/kg的维持剂量建立PBPK模型。在已验证的基础模型的基础上,开发了一个基于nRIFLE/pRIFLE分类的代表肾脏发育不全的PBPK模型。结果:采用PBPK模型计算氨茶碱的PK参数。根据模型预测,T1/2和曲线下面积随着出生后年龄的增加而减少,在肾脏发育不全的情况下,即使R(RISK)、I(损伤)以下患者的C max在治疗范围内;与没有任何肾脏并发症的早产相比,其发病率更高。平均C最大值(mol/L)为59.53,R、I和F(故障)类别的值分别为83.04、99.69和126.98。结论:该模型是使用适当的药物、研究对象和剂量方案输入创建的。建立的PBPK模型有助于早产儿氨茶碱的个体化剂量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Development of Physiologically Based Pharmacokinetic Model and Assessment of the Impact of Renal Underdevelopment in Preterm Infants on the Pharmacokinetics of Aminophylline
Objective: To develop a physiologically based pharmacokinetic (PBPK) model for individualization of the dosing regimen considering the physiological requirements of these preterm neonates. Methods: The study comprised preterm newborns with fewer than 34 weeks of gestation and six apneic episodes in 24 h. A PBPK model was created using PK-SIM (version 9, update 1, GitHub, San Francisco, CA, USA). A PBPK model is built using a typical loading dosage of 5 mg/kg and a maintenance dose of 1.5 mg/kg. Based on the verified base model, a PBPK model representing renal underdevelopment based on nRIFLE/pRIFLE categorization was developed. Results: The PK parameters of Aminophylline were computed using the PBPK model. As per the model prediction, T1/2 and area under the curve reduced as postnatal age increased, and in the event of renal underdevelopment, even while C max for patients under R (RISK), I (injury) was within the therapeutic range; it was greater compared to preterm without any renal complications. Mean C max (mol/L) was 59.53 and for R, I, and F (FAILURE) categories the values were 83.04, 99.69, and 126.98, respectively. Conclusion: The model was created using appropriate drug, study subject, and dosage protocol inputs. The established PBPK model could help in individualizing aminophylline dose in preterm babies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
0.40
自引率
0.00%
发文量
37
期刊最新文献
Allelic Variants in the Warfarin-related Genes VKORC1 and CYP2C9 in a Western Saudi Population N-Acetyl-l-Cysteine Ameliorations RenalFunction Early After Renal Ischemia and Reperfusion; it is not Protective over a LongTerm under a High-Sodium Diet in Rats Rationalization of Antibiotic Prescription: Modulation of the Gut Microbiome and Possibilities of Minimizing the Risks for the Development of Antibiotic Resistance—A Narrative Review The Science of Antioxidants: Balancing thePros and Cons for Our Health Use of Fixed-dose Combination Therapy with Remogliflozin and Vildagliptin as an Add-on Drug in Improving the Glycemic Control of Type 2 Diabetes Mellitus: An Observational Study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1