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Biomedical subjects

L J Aarons

Publications and source records attributed to L J Aarons.

10 recordsLinked to original sources

Application of a linear recirculation model to drug targeting.

Current interest in drug targeting has inspired theoretical considerations of its potential and problems. Previously, drug targeting has been considered in terms of more or less elaborate compartmental models. The present paper shows how an equivalent analysis of the potential advantage of drug targeting may be derived with the minimum reliance on a specific model. A linear recirculation model is used to describe the drug concentration profile at some target site and in the rest of the body. Equations for the AUCs of drug and of a drug-carrier conjugate can then be derived. These AUCs are used to define a drug targeting index (DTI), a measure of drug targeting selectivity previously derived from a specific model. It is shown that the DTI can be defined solely in terms of extraction ratios for elimination of free drug, when release of drug is confined to the target site. The expression for DTI is shown to be equivalent to that previously derived from several more model-dependent approaches.

Drug Administration Routes

An in vitro study of drug displacement interactions: warfarin-salicylate and warfarin-phenylbutazone.

The binding interactions between warfarin-salicylate and warfarin-phenylbutazone in the presence of 4 g percent bovine serum albumin at 37 degrees C were studied using equilibrium dialysis. Methods of representing and analysing drug binding interactions are discussed. Scatchard plots, double reciprocal plots and the like are shown to be of no use in representing drug displacement interactions since they display only one drug and they can be potentially misleading. It is argued that a preferable method of analysing drug displacement interaction data is in terms of a stepwise multiple equilibria model. The numerical problems associated with fitting this kind of model to the data are discussed. A three-dimensional representation of the binding surface is proposed as a superior means of visualizing drug displacement interactions.

Animals

Problems associated with analysis and interpretation of small molecule/macromolecule binding data.

In the analysis of binding data, arbitrary transformations such as the Scatchard plot, may give misleading estimates of the binding parameters. The statistically correct approach is to determine values of K and n by non-linear regression of the actual dependent variable against the actual independent variable. In the case of the spectrophotometric titration method the dependent variable is the absorbance and the independent variable is the composition of the drug/macromolecule mixture. The method relies on an accurate estimate of the extinction coefficient of the bound drug and this is best treated as a parameter to be estimated in the regression analysis. In testing models by data fits alone it is emphasized that whilst a model may be rejected if it does not fit the data, a good fit does not ensure uniquieness and confirmatory, independent evidence must be sought.

DNA