基于模型的左旋苯磺酸氨氯地平在吸烟患者中的精确给药。

IF 4.7 2区 医学 Q1 CHEMISTRY, MEDICINAL
Drug Design, Development and Therapy Pub Date : 2025-04-24 eCollection Date: 2025-01-01 DOI:10.2147/DDDT.S501762
Guoxing Li, Ying Guan, YingYing Yang, Qiulin Xiang, Song Chen, Jiaqi Shao, Yue Chen, Xian Yu
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引用次数: 0

摘要

目的:定量研究尼古丁、人口统计学、生化指标、多环芳烃和药物代谢酶遗传多态性等因素对吸烟者苯磺酸左旋氨氯地平稳态谷浓度及其治疗效果的影响。使用模型促进吸烟患者在初始单药治疗时合理准确给药。方法:一项前瞻性研究(NCT05126381)纳入了43例接受左旋氨氯地平单药治疗的患者。建立左旋苯磺酸氨氯地平Pop PK/PD模型,探讨尼古丁浓度、人口统计学(年龄、性别、身高、体重、BMI)、生化指标(ALT、AST、ALB、UA、eGFR)及遗传多态性(rs4646903、rs1048943、rs762551、rs12459249、rs776746、rs2740574)对给药后左旋苯磺酸氨氯地平稳态谷浓度及降压效果(ΔSBP)的影响。结果:采用43例患者的研究数据建立了Pop PK/PD模型。采用单室模型描述PK特性,采用直接效应模型描述苯磺酸左旋氨氯地平的降压作用。最终Pop PK/PD模型显示:典型值V = 3521L, CL = 62.6L·h-1, E0 = 168mmHg, Imax = 31mmHg, IC50 = 1.71ng·mL-1;模型中发现eGFR和UA对左旋苯磺酸氨氯地平的CL有显著影响。结论:eGFR和UA水平较低的患者CL水平较低,这类患者可考虑在初始单药治疗时增加剂量。目前的研究暂未显示尼古丁浓度和多环芳烃代谢酶对服药患者的PK和PD有显著影响。未来可能需要更多的数据来完善上述协变量对苯磺酸左旋氨氯地平的PK和PD参数的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model-Informed Precision Dosing of Levamlodipine Besylate in Smoking Patients.

Object: To quantitatively investigate the influence of various factors, including nicotine, demographics, biochemical index, and genetic polymorphisms of PAHs and drug metabolising enzymes, on the steady-state trough concentrations of levamlodipine besylate and its therapeutic effects in smokers. Using models to promote rational and accurate medication dosing in smoking patients when administered as initial monotherapy.

Methods: A prospective study (NCT05126381) enrolled 43 patients receiving levamlodipine monotherapy. Pop PK/PD model of levamlodipine besylate was established to investigate the effects of nicotine concentration, demographics (age, sex, height, weight, BMI), biochemical index (ALT, AST, ALB, UA, eGFR), and the genetic polymorphisms (rs4646903, rs1048943, rs762551, rs12459249, rs776746, rs2740574) on the patients' steady state trough concentrations and the antihypertensive efficacy (ΔSBP) of levamlodipine besylate after dosing.

Results: The Pop PK/PD model was conducted using the study data of 43 patients. One-compartment model was used to describe the PK characteristics, and the direct effect model was used to describe the antihypertensive effect of levamlodipine besylate. The final Pop PK/PD model showed that the typical value of V = 3521L, CL = 62.6L·h-1, E0 = 168mmHg, Imax = 31mmHg, IC50 = 1.71ng·mL-1; eGFR and UA were found in the model had significant effect on the CL of levamlodipine besylate.

Conclusion: Patients with lower eGFR and UA levels exhibited lower CL levels, higher dosages may be considered for initial monotherapy in such patients. The current study tentatively do not show that nicotine concentration and PAHs metabolizing enzymes have significant effect on PK and PD in patients taking the drug. More data may be needed in the future to refine the effects of the above covariates on the PK and PD parameters of the levamlodipine besylate.

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来源期刊
Drug Design, Development and Therapy
Drug Design, Development and Therapy CHEMISTRY, MEDICINAL-PHARMACOLOGY & PHARMACY
CiteScore
9.00
自引率
0.00%
发文量
382
审稿时长
>12 weeks
期刊介绍: Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications. The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas. Specific topics covered by the journal include: Drug target identification and validation Phenotypic screening and target deconvolution Biochemical analyses of drug targets and their pathways New methods or relevant applications in molecular/drug design and computer-aided drug discovery* Design, synthesis, and biological evaluation of novel biologically active compounds (including diagnostics or chemical probes) Structural or molecular biological studies elucidating molecular recognition processes Fragment-based drug discovery Pharmaceutical/red biotechnology Isolation, structural characterization, (bio)synthesis, bioengineering and pharmacological evaluation of natural products** Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development Drug delivery and formulation (design and characterization of dosage forms, release mechanisms and in vivo testing) Preclinical development studies Translational animal models Mechanisms of action and signalling pathways Toxicology Gene therapy, cell therapy and immunotherapy Personalized medicine and pharmacogenomics Clinical drug evaluation Patient safety and sustained use of medicines.
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