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首页> 外文期刊>Ophthalmic Research: Journal for Research in Experimental and Clinical Ophthalmology >A Prediction Model for the Intraocular Pharmacokinetics of Intravitreally Injected Drugs Based on Molecular Physicochemical Properties
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A Prediction Model for the Intraocular Pharmacokinetics of Intravitreally Injected Drugs Based on Molecular Physicochemical Properties

机译:基于分子物理化学性质的岩土注射药物的眼内药代动力学的预测模型

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摘要

Purpose: This study was aimed at determining the intraocular pharmacokinetics based on molecular physicochemical properties in a rabbit model. Methods: The entire dataset was obtained from previous literature, and research articles regarding 70 molecular compounds were investigated. The intravitreal half-lives in rabbit eyeballs of 22 macromolecules and 48 micromolecules were analyzed. Multiple linear regression analysis was carried out with non-collinear independent variables (molecular weight [MW] and lipophilicity) influencing intravitreal half-lives. The best-fit equations were selected based on the correlation coefficients and goodness-of-fit statistics. Results: The best-fit models obtained from the entire dataset, macromolecules, and micromolecules suggest the correlation between molecular physicochemical properties (MW and lipophilicity) and intravitreal half-life. Exclusion of outlier molecules (amphotericin B and foscarnet) leads to a better-fit correlation. MW is the definite single factor affecting intravitreal half-lives of macromolecules (Log t(1/2) = 0.148 + 0.370 Log MW, R-2 = 0.769), while both MW and lipophilicity influence the intraocular pharmacokinetics of micromolecules (Log t(1/2) = -1.213 + 0.762 Log MW - 0.115 Log p, R-2 = 0.554). Conclusion: The present study indicates that intravitreal half-life could be predicted based on molecular physicochemical properties (MW and lipophilicity). Also, increasing MW while reducing lipophilicity would be a reliable method for prolonging the intravitreal half-life of small chemical drugs, while MW is the single major determinant for large biologic drugs. (C) 2019 S. Karger AG, Basel.
机译:目的:本研究旨在基于兔模型中的分子物理化学性质来确定人工学药代动力学。方法:将整个数据集从先前的文献中获得,研究了关于70分子化合物的研究制品。分析了22种大分子和48微分细胞兔眼球的玻璃体内半衰期。利用非共线独立变量(分子量[MW]和亲脂性)进行多元线性回归分析,影响玻璃体内半衰期。基于相关系数和拟合良好统计来选择最合适的方程。结果:从整个数据集,大分子和微微分子获得的最佳拟合模型表明分子物理化学性质(MW和亲脂性)与玻璃体内半衰期之间的相关性。排除异常分子(两性霉素B和FOSCARNET)导致更好的相关性。 MW是影响玻璃体内半衰期的明确单一因素(log t(1/2)= 0.148 + 0.370 log mw,r-2 = 0.769),而Mw和亲脂性影响微电石的眼内药代动力学(log t( 1/2)= -1.213 + 0.762 log mw - 0.115 log p,r-2 = 0.554)。结论:本研究表明,可以基于分子物理化学性质(MW和亲脂性)来预测玻璃体内半衰期。此外,在减少亲脂性的同时增加MW是一种可靠的方法,可以延长小化学药物的玻璃体内半衰期,而MW是大型生物药物的单一主要决定因素。 (c)2019年S. Karger AG,巴塞尔。

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