Assessing central nervous system drug delivery.

Expert opinion on drug delivery Pub Date : 2025-03-01 Epub Date: 2025-02-13 DOI:10.1080/17425247.2025.2462767
Margareta Hammarlund-Udenaes, Irena Loryan
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Abstract

Introduction: Delivering drugs to the central nervous system (CNS) remains a major challenge due to the blood-brain barrier, restricting the entry of drugs into the brain. This limitation contributes to the ongoing lack of effective treatments for CNS diseases. To improve the process of drug discovery and development, it is crucial to streamline methods that measure clinically relevant parameters, allowing for good selection of drug candidates.

Area covered: In this paper, we discuss the essential prerequisites for successful CNS drug delivery and review relevant methods. We emphasize the need for closer collaboration between in vitro and in vivo scientists to improve the relevance of these methods and increase the success rate of developing effective CNS therapies. While our focus is on small molecule drugs, we also touch on some aspects of larger molecules.

Expert opinion: Significant progress has been made in recent years in method development and their application. However, there is still work to be done before the use of in silico models, in vitro cell systems, and AI can consistently offer meaningful correlations and relationships to clinical data. This gap is partly due to limited patient data, but a lot can be achieved through in vivo research in animal models.

评估中枢神经系统给药。
导言:由于血脑屏障限制了药物进入大脑,将药物输送到中枢神经系统(CNS)仍然是一个重大挑战。这一限制导致了对中枢神经系统疾病持续缺乏有效的治疗方法。为了改善药物发现和开发过程,简化测量临床相关参数的方法至关重要,从而可以更好地选择候选药物。涉及领域:本文讨论了中枢神经系统成功给药的必要条件,并对相关方法进行了综述。我们强调需要在体外和体内科学家之间进行更密切的合作,以提高这些方法的相关性,提高开发有效中枢神经系统疗法的成功率。虽然我们的重点是小分子药物,但我们也触及大分子药物的某些方面。专家意见:近年来在方法开发和应用方面取得了重大进展。然而,在使用计算机模型、体外细胞系统和人工智能能够始终提供有意义的相关性和临床数据之间的关系之前,还有很多工作要做。这种差距部分是由于患者数据有限,但通过动物模型的体内研究可以实现很多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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