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伊马替尼的药代动力学和药效学研究,以实现从癌症到 COVID-19 的最佳药物再利用。

Pharmacokinetics and pharmacodynamics of imatinib for optimal drug repurposing from cancer to COVID-19.

机构信息

Department of Pulmonary Medicine, Amsterdam UMC, location AMC, Amsterdam, the Netherlands; Amsterdam Institute for Infection and Immunity, Amsterdam, the Netherlands; Amsterdam Public Health, Amsterdam, the Netherlands.

Department of Pulmonary Medicine, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands; Amsterdam Cardiovascular Sciences, Amsterdam, the Netherlands.

出版信息

Eur J Pharm Sci. 2023 May 1;184:106418. doi: 10.1016/j.ejps.2023.106418. Epub 2023 Mar 2.

DOI:10.1016/j.ejps.2023.106418
PMID:36870577
原文链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC9979628/
Abstract

INTRODUCTION

In the randomized double-blind placebo-controlled CounterCOVID study, oral imatinib treatment conferred a positive clinical outcome and a signal for reduced mortality in COVID-19 patients. High concentrations of alpha-1 acid glycoprotein (AAG) were observed in these patients and were associated with increased total imatinib concentrations.

AIMS

This post-hoc study aimed to compare the difference in exposure following oral imatinib administration in COVID-19 patients to cancer patients and assess assocations between pharmacokinetic (PK) parameters and pharmacodynamic (PD) outcomes of imatinib in COVID-19 patients. We hypothesize that a relatively higher drug exposure of imatinib in severe COVID-19 patients leads to improved pharmacodynamic outcome parameters.

METHODS

648 total concentration plasma samples obtained from 168 COVID-19 patients were compared to 475 samples of 105 cancer patients, using an AAG-binding model. Total trough concentration at steady state (Ct) and total average area under the concentration-time curve (AUCt) were associated with ratio between partial oxygen pressure and fraction of inspired oxygen (P/F), WHO ordinal scale (WHO-score) and liberation of oxygen supplementation (Olib). Linear regression, linear mixed effects models and time-to-event analysis were adjusted for possible confounders.

RESULTS

AUCt and Ct were respectively 2.21-fold (95%CI 2.07-2.37) and 1.53-fold (95%CI 1.44-1.63) lower for cancer compared to COVID-19 patients. Ct, not AUCt, associated significantly with P/F (β=-19,64; p-value=0.014) and Olib (HR 0.78; p-value= 0.032), after adjusting for sex, age, neutrophil-lymphocyte ratio, dexamethasone concomitant treatment, AAG and baseline P/F-and WHO-score. Ct, but not AUCt associated significantly with WHO-score. These results suggest an inverse relationship between PK-parameters, Ct and AUCt, and PD outcomes.

CONCLUSION

COVID-19 patients exhibit higher total imatinib exposure compared to cancer patients, attributed to differences in plasma protein concentrations. Higher imatinib exposure in COVID-19 patients did not associate with improved clinical outcomes. Ct and AUCt inversely associated with some PD-outcomes, which may be biased by disease course, variability in metabolic rate and protein binding. Therefore, additional PKPD analyses into unbound imatinib and its main metabolite may better explain exposure-response.

摘要

简介

在随机、双盲、安慰剂对照的 CounterCOVID 研究中,口服伊马替尼治疗使 COVID-19 患者的临床结局呈阳性,并显示出降低死亡率的信号。在这些患者中观察到α-1酸性糖蛋白(AAG)浓度升高,并且与总伊马替尼浓度增加相关。

目的

本回顾性研究旨在比较 COVID-19 患者与癌症患者口服伊马替尼后的暴露差异,并评估 COVID-19 患者中伊马替尼的药代动力学(PK)参数与药效学(PD)结果之间的关联。我们假设严重 COVID-19 患者中伊马替尼的相对较高药物暴露会导致药效学结果参数的改善。

方法

使用 AAG 结合模型,比较了 168 例 COVID-19 患者的 648 个总浓度血浆样本和 105 例癌症患者的 475 个样本。稳态时总谷浓度(Ct)和总平均浓度-时间曲线下面积(AUCt)与氧分压与吸入氧分数(P/F)、世界卫生组织(WHO)等级量表(WHO 评分)和氧气补充释放(Olib)的比值相关。线性回归、线性混合效应模型和生存时间分析调整了可能的混杂因素。

结果

与 COVID-19 患者相比,癌症患者的 AUCt 和 Ct 分别低 2.21 倍(95%CI 2.07-2.37)和 1.53 倍(95%CI 1.44-1.63)。在调整性别、年龄、中性粒细胞-淋巴细胞比值、地塞米松伴随治疗、AAG 和基线 P/F-和 WHO 评分后,Ct 而不是 AUCt 与 P/F(β=-19.64;p 值=0.014)和 Olib(HR 0.78;p 值=0.032)显著相关。Ct 但不是 AUCt 与 WHO 评分显著相关。这些结果表明 PK 参数、Ct 和 AUCt 与 PD 结果之间呈负相关。

结论

与癌症患者相比,COVID-19 患者表现出更高的总伊马替尼暴露,这归因于血浆蛋白浓度的差异。COVID-19 患者中更高的伊马替尼暴露与改善的临床结局无关。Ct 和 AUCt 与一些 PD 结果呈负相关,这可能受到疾病过程、代谢率和蛋白结合的变异性的影响。因此,对无结合伊马替尼及其主要代谢物的额外 PKPD 分析可能更好地解释暴露-反应关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/967806e333e1/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/4a197c43a72e/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/2e1a825ad9c9/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/20280ab1ff78/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/635e6a69ee55/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/967806e333e1/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/4a197c43a72e/ga1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/2e1a825ad9c9/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/20280ab1ff78/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/635e6a69ee55/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5736/9979628/967806e333e1/gr4_lrg.jpg

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