首页> 外文期刊>Drug Metabolism and Disposition: The Biological Fate of Chemicals >Unbound brain concentration determines receptor occupancy: a correlation of drug concentration and brain serotonin and dopamine reuptake transporter occupancy for eighteen compounds in rats.
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Unbound brain concentration determines receptor occupancy: a correlation of drug concentration and brain serotonin and dopamine reuptake transporter occupancy for eighteen compounds in rats.

机译:未结合的脑部浓度决定受体的占有率:18种化合物在大鼠中的药物浓度与脑部5-羟色胺和多巴胺再摄取转运蛋白的占有率相关。

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摘要

It is a commonly accepted hypothesis that central nervous system (CNS) activity is determined by the unbound brain drug concentration. However, limited experimental data are available in the literature to support this hypothesis. The objective of this study was to test this hypothesis by examining the relationship between in vitro binding affinity (K(I)) and in vivo activity quantified as the drug concentration occupying 50% of the transporters (OC(50)) for 18 serotonin (SERT) and dopamine transporter (DAT) inhibitors. In vivo rat OC(50) was determined by autoradiography using [(3)H]N,N-dimethyl-2,2-amino-4-cyanophenylthiobenzylamine and [(3)H](-)-2-beta-carbomethoxy-3-beta-(4-fluorophenyl)tropane-1,5-napthalenedisulf onate (WIN35,428) as the ligands to assess SERT and DAT occupancy, respectively. The unbound brain concentrations were calculated from total brain concentrations and the unbound brain fraction, which was determined by the brain homogenate method. The in vivo total brain SERT and DAT OC(50) values (mean +/- S.D.) were 408 +/- 368- and 410 +/- 395-fold greater than the K(I) values, respectively. In contrast, the in vivo unbound brain SERT and DAT OC(50) values were only 3.3 +/- 2.1- and 4.1 +/- 4.0-fold different from the K(I) values. Therefore, prediction of the biophase drug concentration by using the unbound brain concentration rather than the total brain concentration results in an approximately 100-fold improvement for the accuracy. In the present study, a 10-fold improvement was also observed by using the unbound plasma concentration rather than the total plasma concentration to predict the biophase concentration in the brain. This study supports the hypothesis that CNS activity is more accurately determined by the unbound brain drug concentration and not by the total brain drug concentration.
机译:一个普遍接受的假设是中枢神经系统(CNS)的活性取决于未结合的脑部药物浓度。但是,文献中有限的实验数据可支持这一假设。这项研究的目的是通过检查体外结合亲和力(K(I))与体内活性之间的关系来检验这一假设,该关系被量化为18种5-羟色胺的药物浓度占转运蛋白的50%(OC(50))( SERT)和多巴胺转运蛋白(DAT)抑制剂。使用[(3)H] N,N-N-二甲基-2,2-氨基-4-氰基苯硫基苄胺和[(3)H](-)-2-β-羰甲氧基-通过放射自显影确定体内大鼠OC(50) 3-β-(4-氟苯基)托烷-1,5-萘二磺酸盐(WIN35,428)作为配体,分别评估SERT和DAT的占有率。由总脑浓度和未结合脑分数计算未结合脑浓度,这是通过脑匀浆法确定的。体内总脑SERT和DAT OC(50)值(平均+/- S.D.)分别比K(I)值大408 +/- 368和410 +/- 395倍。相反,体内未结合的大脑SERT和DAT OC(50)值与K(I)值仅相差3.3 +/- 2.1倍和4.1 +/- 4.0倍。因此,通过使用未约束的脑部浓度而不是总脑部浓度来预测生物相药物浓度会导致准确性提高约100倍。在本研究中,通过使用未结合的血浆浓度而不是总血浆浓度来预测大脑中的生物相浓度,也观察到了10倍的改善。这项研究支持以下假设:CNS活性更准确地由未结合的脑部药物浓度而不是总脑部药物浓度确定。

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