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亲脂性的测定及其作为分子成像剂血脑屏障穿透预测指标的应用。

Determination of lipophilicity and its use as a predictor of blood-brain barrier penetration of molecular imaging agents.

作者信息

Waterhouse Rikki N

机构信息

Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY 10032, USA.

出版信息

Mol Imaging Biol. 2003 Nov-Dec;5(6):376-89. doi: 10.1016/j.mibio.2003.09.014.

Abstract

Compound lipophilicity is a fundamental physicochemical property that plays a pivotal role in the absorption, distribution, metabolism, and elimination (ADME) of therapeutic drugs. Lipophilicity is expressed in several different ways, including terms such as Log P, clogP, delta Log P, and Log D. Often a parabolic relationship exists between measured lipophilicity and in vivo brain penetration of drugs, where those moderate in lipophilicity often exhibit highest uptake. Reduced brain extraction of more lipophilic compounds is associated with increased non-specific binding to plasma proteins. More lipophilic compounds can also be more vulnerable to P450 metabolism, leading to faster clearance. Very polar compounds normally exhibit high water solubility, fast clearance through the kidneys, and often contain ionizable functional groups that limit blood-brain barrier (BBB) penetration. The brain penetration and specific to non-specific binding ratios exhibited in vivo by positron emission tomography (PET) and single photon emission computed tomography (SPECT) radiotracers involves a complex interplay between many critical factors, including lipophilicity, receptor affinity, metabolism, molecular size and shape, ionization potential, and specific binding to BBB efflux pumps or binding sites on albumin or other plasma proteins. This paper explores situations in which lipophilicity is a good predictor of BBB penetration, as well as those where this correlation is poor. The more commonly used methods for measuring lipophilicity are presented, and the various terms often found in the literature outlined. An attempt is made to describe how this information can be used in optimizing the development of PET and SPECT tracers that target the central nervous system (CNS).

摘要

化合物亲脂性是一种基本的物理化学性质,在治疗药物的吸收、分布、代谢和排泄(ADME)过程中起着关键作用。亲脂性有几种不同的表达方式,包括Log P、clogP、δ Log P和Log D等术语。通常,所测亲脂性与药物的体内脑渗透之间存在抛物线关系,其中亲脂性适中的药物往往表现出最高的摄取率。亲脂性更强的化合物脑摄取减少与血浆蛋白非特异性结合增加有关。亲脂性更强的化合物也可能更容易受到P450代谢的影响,从而导致更快的清除。极性很强的化合物通常具有高水溶性,通过肾脏快速清除,并且通常含有可电离的官能团,这限制了其血脑屏障(BBB)穿透。正电子发射断层扫描(PET)和单光子发射计算机断层扫描(SPECT)放射性示踪剂在体内表现出的脑渗透以及特异性与非特异性结合比率涉及许多关键因素之间的复杂相互作用,包括亲脂性、受体亲和力、代谢、分子大小和形状、电离势以及与BBB外排泵或白蛋白或其他血浆蛋白上结合位点的特异性结合。本文探讨了亲脂性是BBB穿透良好预测指标的情况,以及这种相关性较差的情况。介绍了更常用的亲脂性测量方法,并概述了文献中经常出现的各种术语。本文试图描述如何利用这些信息来优化针对中枢神经系统(CNS)的PET和SPECT示踪剂的开发。

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