Ischaemic stroke is a complex disorder caused by a combination of genetic and environmental factors. Clinical and epidemiological studies have provided strong evidence for genetic influences in the development of human stroke and several mendelian traits featuring stroke have been described. The genetic analysis of the non-mendelian, common ischaemic stroke in humans is hindered by the late onset of the disease and the mode of inheritance, which is complex, polygenic and multifactorial. An important approach to the study of such polygenic diseases is the use of appropriate animal models in which individual contributing factors can be recognized and analysed. The spontaneously hypertensive stroke-prone rat (SHRSP) is an experimental model of stroke characterized by a high frequency of spontaneous strokes as well as an increased sensitivity to experimentally induced focal cerebral ischaemia. Rubattu et al. performed a genomewide screen in an F2 cross obtained by mating SHRSP and SHR, in which latency to stroke on Japanese rat diet was used as a phenotype. This study identified three major quantitative trait loci (QTLs), STR-1-3. Of these, STR-2 and 3 conferred a protective effect against stroke in the presence of SHRSP alleles and STR-2 co-localized with the genes encoding for atrial natriuretic and brain natriuretic factors. Our investigation was designed to identify the genetic component responsible for large infarct volumes in the SHRSP in response to a focal ischaemic insult by performance of a genome scan in an F2 cross derived from the SHRSP and the normotensive reference strain, WKY rat. We identified a highly significant QTL on rat chromosome 5 with a lod score of 16.6 which accounts for 67% of the total variance, co-localizes with the genes encoding atrial and brain natriuretic factor and is blood pressure independent.
A recently reported approach to the prediction of blood-brain drug distribution uses the general linear free energy equation to correlate equilibrium blood-brain solute distributions (logBB) with five solute descriptors: R2 an excess molar refraction term; pi2H, solute dipolarity or polarizability; alpha2H and beta2H, the hydrogen bond acidity or basicity, and Vx, the solute McGowan volume. In this study we examine whether the model can be used to analyse kinetic transfer rates across the blood-brain barrier in the rat. The permeability (logPS) of the blood-brain barrier to a chemically diverse series of compounds was measured using a short duration vascular perfusion method. LogPS data were correlated with calculated solute descriptors, and octanol-water partition coefficients (logP(oct)) for comparison. It is shown that a general linear free energy equation can be constructed to predict and interpret logPS values. The utility of this model over other physicochemical descriptors for interpreting logPS and logBB values is discussed.
A number of solute descriptors that relate to the ability of a solute to take part in solutesolvent interactions have been identiüed, quantiüed and incorporated into a multiple linear regression equation. This general solvation equation can then be used for the correlation and prediction of solute eþ ects in transport processes, that is, processes in which the main step is either the equilibrium transfer, or the rate of transfer, of a solute from one phase to another. Examples discussed include the solubility of gases and vapours in water, various water-solvent partitions, blood-brain distribution, brain perfusion, and skin permeability.
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