洛匹那韦在暴露于严重急性呼吸系统综合征冠状病毒2型的HIV阴性个体中的群体药代动力学分析:一项COPEP(冠状病毒暴露后预防)子研究。

IF 2.8 3区 医学 Q2 PHARMACOLOGY & PHARMACY BMC Pharmacology & Toxicology Pub Date : 2023-09-27 DOI:10.1186/s40360-023-00687-6
Paul Thoueille, Margot Delfraysse, Pascal Andre, Thierry Buclin, Laurent A Decosterd, Chiara Fedeli, Pilar Ustero, Alexandra Calmy, Monia Guidi
{"title":"洛匹那韦在暴露于严重急性呼吸系统综合征冠状病毒2型的HIV阴性个体中的群体药代动力学分析:一项COPEP(冠状病毒暴露后预防)子研究。","authors":"Paul Thoueille, Margot Delfraysse, Pascal Andre, Thierry Buclin, Laurent A Decosterd, Chiara Fedeli, Pilar Ustero, Alexandra Calmy, Monia Guidi","doi":"10.1186/s40360-023-00687-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Lopinavir/ritonavir (LPV/r) is a drug traditionally used for the treatment of HIV that has been repurposed as a potential post-exposure prophylaxis agent against COVID-19 in the COronavirus Post-Exposure Prophylaxis (COPEP) study. The present analysis aims to evaluate LPV levels in individuals exposed to SARS-CoV-2 versus people living with HIV (PLWH) by developing a population pharmacokinetic (popPK) model, while characterizing external and patient-related factors that might affect LPV exposure along with dose-response association.</p><p><strong>Methods: </strong>We built a popPK model on 105 LPV concentrations measured in 105 HIV-negative COPEP individuals exposed to SARS-CoV-2, complemented with 170 LPV concentrations from 119 PLWH followed in our routine therapeutic drug-monitoring programme. Published LPV popPK models developed in PLWH and in COVID-19 patients were retrieved and validated in our study population by mean prediction error (MPE) and root mean square error (RMSE). The association between LPV model-predicted residual concentrations (C<sub>min</sub>) and the appearance of the COVID-19 infection in the COPEP participants was investigated.</p><p><strong>Results: </strong>A one-compartment model with linear absorption and elimination best described LPV concentrations in both our analysis and in the majority of the identified studies. Globally, similar PK parameters were found in all PK models, and provided close MPEs (from -19.4% to 8.0%, with a RMSE of 3.4% to 49.5%). No statistically significant association between C<sub>min</sub> and the occurrence of a COVID-19 infection could be detected.</p><p><strong>Conclusion: </strong>Our analysis indicated that LPV circulating concentrations were similar between COPEP participants and PLWH, and that published popPK models described our data in a comparable way.</p>","PeriodicalId":9023,"journal":{"name":"BMC Pharmacology & Toxicology","volume":"24 1","pages":"47"},"PeriodicalIF":2.8000,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536696/pdf/","citationCount":"0","resultStr":"{\"title\":\"Population pharmacokinetic analysis of lopinavir in HIV negative individuals exposed to SARS-CoV-2: a COPEP (COronavirus Post-Exposure Prophylaxis) sub-study.\",\"authors\":\"Paul Thoueille, Margot Delfraysse, Pascal Andre, Thierry Buclin, Laurent A Decosterd, Chiara Fedeli, Pilar Ustero, Alexandra Calmy, Monia Guidi\",\"doi\":\"10.1186/s40360-023-00687-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Lopinavir/ritonavir (LPV/r) is a drug traditionally used for the treatment of HIV that has been repurposed as a potential post-exposure prophylaxis agent against COVID-19 in the COronavirus Post-Exposure Prophylaxis (COPEP) study. The present analysis aims to evaluate LPV levels in individuals exposed to SARS-CoV-2 versus people living with HIV (PLWH) by developing a population pharmacokinetic (popPK) model, while characterizing external and patient-related factors that might affect LPV exposure along with dose-response association.</p><p><strong>Methods: </strong>We built a popPK model on 105 LPV concentrations measured in 105 HIV-negative COPEP individuals exposed to SARS-CoV-2, complemented with 170 LPV concentrations from 119 PLWH followed in our routine therapeutic drug-monitoring programme. Published LPV popPK models developed in PLWH and in COVID-19 patients were retrieved and validated in our study population by mean prediction error (MPE) and root mean square error (RMSE). The association between LPV model-predicted residual concentrations (C<sub>min</sub>) and the appearance of the COVID-19 infection in the COPEP participants was investigated.</p><p><strong>Results: </strong>A one-compartment model with linear absorption and elimination best described LPV concentrations in both our analysis and in the majority of the identified studies. Globally, similar PK parameters were found in all PK models, and provided close MPEs (from -19.4% to 8.0%, with a RMSE of 3.4% to 49.5%). No statistically significant association between C<sub>min</sub> and the occurrence of a COVID-19 infection could be detected.</p><p><strong>Conclusion: </strong>Our analysis indicated that LPV circulating concentrations were similar between COPEP participants and PLWH, and that published popPK models described our data in a comparable way.</p>\",\"PeriodicalId\":9023,\"journal\":{\"name\":\"BMC Pharmacology & Toxicology\",\"volume\":\"24 1\",\"pages\":\"47\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536696/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Pharmacology & Toxicology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s40360-023-00687-6\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Pharmacology & Toxicology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40360-023-00687-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

摘要

背景:洛匹那韦/利托那韦(LPV/r)是一种传统上用于治疗艾滋病毒的药物,在新冠病毒暴露后预防(COPEP)研究中被重新用作潜在的新冠肺炎暴露后预防剂。本分析旨在通过开发群体药代动力学(popPK)模型来评估暴露于严重急性呼吸系统综合征冠状病毒2型的个体与艾滋病毒感染者(PLWH)的LPV水平,同时表征可能影响LPV暴露的外部和患者相关因素以及剂量-反应相关性。方法:我们建立了一个popPK模型,对暴露于严重急性呼吸系统综合征冠状病毒2型的105名HIV阴性COPEP个体的105个LPV浓度进行了测量,并在我们的常规治疗药物监测计划中对119个PLWH的170个LPV浓度进行了补充。在我们的研究人群中,通过平均预测误差(MPE)和均方根误差(RMSE)检索并验证了在PLWH和新冠肺炎患者中开发的已发表的LPV-popPK模型。研究了LPV模型预测的残留浓度(Cmin)与COPEP参与者中出现新冠肺炎感染之间的关系。结果:在我们的分析和大多数已确定的研究中,具有线性吸收和消除的单室模型最好地描述了LPV浓度。在全球范围内,在所有PK模型中都发现了相似的PK参数,并提供了接近的MPE(从-19.4%到8.0%,RMSE为3.4%到49.5%)。在Cmin与新冠肺炎感染的发生之间没有检测到统计学上显著的关联。结论:我们的分析表明,COPEP参与者和PLWH之间的LPV循环浓度相似,并且已发表的popPK模型以可比较的方式描述了我们的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

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
Population pharmacokinetic analysis of lopinavir in HIV negative individuals exposed to SARS-CoV-2: a COPEP (COronavirus Post-Exposure Prophylaxis) sub-study.

Background: Lopinavir/ritonavir (LPV/r) is a drug traditionally used for the treatment of HIV that has been repurposed as a potential post-exposure prophylaxis agent against COVID-19 in the COronavirus Post-Exposure Prophylaxis (COPEP) study. The present analysis aims to evaluate LPV levels in individuals exposed to SARS-CoV-2 versus people living with HIV (PLWH) by developing a population pharmacokinetic (popPK) model, while characterizing external and patient-related factors that might affect LPV exposure along with dose-response association.

Methods: We built a popPK model on 105 LPV concentrations measured in 105 HIV-negative COPEP individuals exposed to SARS-CoV-2, complemented with 170 LPV concentrations from 119 PLWH followed in our routine therapeutic drug-monitoring programme. Published LPV popPK models developed in PLWH and in COVID-19 patients were retrieved and validated in our study population by mean prediction error (MPE) and root mean square error (RMSE). The association between LPV model-predicted residual concentrations (Cmin) and the appearance of the COVID-19 infection in the COPEP participants was investigated.

Results: A one-compartment model with linear absorption and elimination best described LPV concentrations in both our analysis and in the majority of the identified studies. Globally, similar PK parameters were found in all PK models, and provided close MPEs (from -19.4% to 8.0%, with a RMSE of 3.4% to 49.5%). No statistically significant association between Cmin and the occurrence of a COVID-19 infection could be detected.

Conclusion: Our analysis indicated that LPV circulating concentrations were similar between COPEP participants and PLWH, and that published popPK models described our data in a comparable way.

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
BMC Pharmacology & Toxicology
BMC Pharmacology & Toxicology PHARMACOLOGY & PHARMACYTOXICOLOGY&nb-TOXICOLOGY
CiteScore
4.80
自引率
0.00%
发文量
87
审稿时长
12 weeks
期刊介绍: BMC Pharmacology and Toxicology is an open access, peer-reviewed journal that considers articles on all aspects of chemically defined therapeutic and toxic agents. The journal welcomes submissions from all fields of experimental and clinical pharmacology including clinical trials and toxicology.
期刊最新文献
Pulrodemstat, a selective inhibitor of KDM1A, suppresses head and neck squamous cell carcinoma growth by triggering apoptosis. Resveratrol inhibits ferroptosis in the lung tissues of heat stroke-induced rats via the Nrf2 pathway. An in vivo and in silico probing of the protective potential of betaine against sodium fluoride-induced neurotoxicity. Cinnamaldehyde ameliorates diabetes-induced biochemical impairments and AGEs macromolecules in a pre-clinical model of diabetic nephropathy. Real-world research on beta-blocker usage trends in China and safety exploration based on the FDA Adverse Event Reporting System (FAERS).
×
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