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利用定量结构-代谢关系预测大鼠体内取代酚的硫酸酯和葡糖醛酸共轭物排泄情况。

Prediction of urinary sulphate and glucuronide conjugate excretion for substituted phenols in the rat using quantitative structure-metabolism relationships.

作者信息

Holmes E, Sweatman B C, Bollard M E, Blackledge C A, Beddell C R, Wilson I D, Lindon J C, Nicholson J K

机构信息

Department of Chemistry, Birkbeck College, University of London, UK.

出版信息

Xenobiotica. 1995 Dec;25(12):1269-81. doi: 10.3109/00498259509061916.

Abstract
  1. The quantitative urinary excretion of the sulphate and glucuronide metabolites of 15 substituted phenols dosed to rat has been determined using high resolution 19F-nmr spectroscopy. 2. The urinary metabolic fate of each of the compounds was related to a series of calculated physicochemical properties for each compound to produce quantitative structure-metabolism relationships (QSMRs). Using these calculated molecular properties it was possible to predict the urinary recovery of xenobiotic material as a percentage of the administered dose, to classify the compounds according to their 'dominant' metabolite pattern and to predict quantitatively the proportions of glucuronide and sulphate conjugates in the urine by the use of multiple linear regression. 3. The quantitative predictions were tested by cross-validation and good prediction of total xenobiotic urinary recovery as a percentage of the administered dose was achieved based on an equation involving the electrophilic superdelocalizability at C4 (para to the hydroxyl function), the smallest principal ellipsoid axis dimension and the heat of formation. The largest moment of inertia and the electrophilic superdelocalizability at C3 were found to be the most significant factors for the prediction of the percentage glucuronide in the urine, and the urinary excretion of sulphate conjugates as a percentage of total urinary recovery was negatively correlated with the glucuronide excretion as little parent compound was excreted.
摘要
  1. 利用高分辨率(^{19}F)核磁共振波谱法测定了给大鼠投喂15种取代酚后其硫酸盐和葡萄糖醛酸代谢物的尿排泄量。2. 每种化合物的尿代谢命运与每种化合物的一系列计算得出的物理化学性质相关,以建立定量结构-代谢关系(QSMR)。利用这些计算得出的分子性质,可以预测作为给药剂量百分比的外源性物质的尿回收率,根据其“主要”代谢物模式对化合物进行分类,并通过多元线性回归定量预测尿液中葡萄糖醛酸和硫酸盐共轭物的比例。3. 通过交叉验证对定量预测进行了检验,基于一个涉及C4(羟基对位)的亲电超离域性、最小主椭球轴尺寸和生成热的方程,实现了对作为给药剂量百分比的总外源性物质尿回收率的良好预测。发现最大转动惯量和C3的亲电超离域性是预测尿液中葡萄糖醛酸百分比的最重要因素,并且硫酸盐共轭物的尿排泄量占总尿回收率的百分比与葡萄糖醛酸排泄呈负相关,因为排泄的母体化合物很少。

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