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基于血浆蛋白结合和酸碱特性预测人脱脂乳中的药物浓度。

Prediction of drug concentrations in human skim milk from plasma protein binding and acid-base characteristics.

作者信息

Atkinson H C, Begg E J

机构信息

Department of Clinical Pharmacology, Christchurch School of Medicine, Christchurch Hospital, New Zealand.

出版信息

Br J Clin Pharmacol. 1988 Apr;25(4):495-503. doi: 10.1111/j.1365-2125.1988.tb03334.x.

Abstract
  1. Protein binding in human skim milk of a series of seven drugs with diverse plasma protein binding and acid-base characteristics, was measured by ultrafiltration. 2. A mathematical relationship between plasma and skim milk unbound fractions was established using measured values from this study along with values from the literature. 3. The relationship enables prediction of unknown protein binding values of drugs in skim milk from known plasma protein binding values. 4. Knowledge of milk protein binding enables a more accurate assessment of total milk concentrations than is available from existing theory which is limited to prediction of unbound drug.
摘要
  1. 通过超滤法测定了七种具有不同血浆蛋白结合率和酸碱特性的药物在人脱脂乳中的蛋白结合情况。2. 利用本研究的测量值以及文献中的值,建立了血浆和脱脂乳中未结合分数之间的数学关系。3. 该关系能够根据已知的血浆蛋白结合值预测药物在脱脂乳中未知的蛋白结合值。4. 了解乳蛋白结合情况能够比现有仅局限于预测未结合药物的理论更准确地评估总乳浓度。

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