女性生殖道的 PBPK 模型:当前和未来分析。

Kimberly Adams, Xinnong Li, Lisa Rohan, Robert Bies
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引用次数: 0

摘要

导读:通过女性生殖道给药(FRT)由于其局部和全身治疗的潜力而受到越来越多的关注。基于生理的药代动力学(PBPK)模型提供了一种了解FRT内药物吸收、分布、代谢和排泄(ADME)的机制方法,这对于优化阴道感染、避孕和激素治疗等疾病的治疗至关重要。涵盖领域:这篇综述提供了对FRT PBPK建模现状的全面分析,重点是其生理和解剖复杂性。本文综述了现有的FRT PBPK模型,并讨论了模拟生殖组织中药物渗透和ADME过程的挑战。数据缺口,包括组织特异性生理参数和药物渗透性,被确定。研究人员还探讨了影响FRT药物处置的方法学进展和生物学因素,包括激素周期、个体间差异和多囊卵巢综合征等疾病状态。专家意见:FRT的PBPK模型在改善药物输送和治疗个性化方面具有重要的前景。然而,目前在数据可用性和模型验证方面的限制必须得到解决。未来的研究将整合真实世界的患者数据、先进的成像技术和药效学建模,将提高这些模型的准确性和临床实用性,推进药物开发和监管过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PBPK models of the female reproductive tract: current and future analysis.

Introduction: Drug delivery via the female reproductive tract (FRT) has garnered increasing attention due to its potential for local and systemic therapies. Physiologically Based Pharmacokinetic (PBPK) models offer a mechanistic approach to understanding drug absorption, distribution, metabolism, and excretion (ADME) within the FRT, which is critical for optimizing treatments for conditions such as vaginal infections, contraception, and hormonal therapies.

Areas covered: This review provides a comprehensive analysis of the current state of PBPK modeling for the FRT, focusing on its physiological and anatomical complexities. The paper reviews existing FRT PBPK models and discusses the challenges of simulating drug permeation and ADME processes in reproductive tissues. Data gaps, including tissue-specific physiological parameters and drug permeability, are identified. Methodological advances and biological factors influencing drug disposition in the FRT are explored, including hormonal cycles, interindividual variability, and disease states like polycystic ovary syndrome.

Expert opinion: PBPK models for the FRT hold significant promise for improving drug delivery and therapy personalization. However, current limitations in data availability and model validation must be addressed. Future research integrating real-world patient data, advanced imaging techniques, and pharmacodynamic modeling will enhance these models' accuracy and clinical utility, advancing drug development and regulatory processes.

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