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Biomedical subjects

K Wei

Publications and source records attributed to K Wei.

78 records · Page 5Linked to original sources
PubMed1992

[Constituents of tannins from Euphorbia prostrata Ait].

Ten compounds have been isolated from Euphorbia prostrata and identified as gallic acid, corilagin, 1,2,3-tri-O-galloyl-D-glucose,geraniin,tellimagradin I, II, rugosin A, rugosin E, rugosin D and rugosin G on the basis of physicochemical and spectroscopic methods.

Drugs, Chinese Herbal↗
PubMedDate not supplied

Detection and quantification of coronary stenosis severity with myocardial contrast echocardiography.

The development of microbubble contrast agents and new imaging modalities now allows the assessment of myocardial perfusion during echocardiography. These microbubbles are excellent tracers of red blood cell kinetics. Apart from providing a spatial assessment of myocardial perfusion, myocardial contrast echocardiography (MCE) can also be used to quantify the 2 specific components of myocardial blood flow-flow velocity and myocardial blood volume. The method to quantify myocardial blood flow velocity is based on rapid destruction of microbubbles by ultrasound, and subsequent assessment of the rate of replenishment of microbubbles into the myocardial microcirculation within the ultrasound beam elevation. Assessment of steady state myocardial video intensity (VI) provides a measure of myocardial or capillary blood volume. Perfusion defects that develop distal to a stenosis during hyperemia are therefore due to capillary derecruitment. We have shown that the degree of derecruitment (and therefore the severity of a perfusion defect) is proportional to stenosis severity. Because the capillary bed also provides the greatest resistance to hyperemic flow, decreases in capillary blood volume distal to a stenosis during hyperemia result in increases in microvascular resistance, which is the mechanism underlying the progressive decrease in flow reserve in the presence of a stenosis. Consequently, both the severity of a perfusion defect and quantification of abnormal myocardial blood flow reserve on MCE can be used to determine stenosis severity. As imaging methods with MCE continue to be refined, the optimal imaging algorithms for clinical practice still need to be determined. MCE, however, holds promise as a noninvasive, instantaneous, on-line method for the detection and quantification of coronary artery disease.

Contrast Media↗
PubMedDate not supplied

Identification of quantitative trait loci for non-insulin-dependent diabetes mellitus that interact with body weight in the Otsuka Long-Evans Tokushima Fatty rat.

Non-insulin-dependent diabetes mellitus (NIDDM) is a prototypical multifactorial disease. Genetic predisposition and obesity are major risk factors for NIDDM development and the interactions between these factors are likely to be important in the etiology of this disease. The Otsuka Long-Evans Tokushima Fatty (OLETF) rat is one of the best animal models of NIDDM, since the OLETF rat develops NIDDM with mild obesity that is very similar to human NIDDM. Therefore, the OLETF rat is a powerful model for investigating the interaction between genetic susceptibility to NIDDM and obesity. In this study, our goal was to clarify the relationship between an individual NIDDM susceptibility locus and obesity in the OLETF using a molecular genetics approach. We identified four novel quantitative trait loci (QTLs) that contribute to the susceptibility to NIDDM, none of which shows significant linkage with body weight. However, Nidd1/of on chromosome 7 and Nidd2/of on chromosome 14 have an interaction with body weight. In contrast, one locus was mapped to chromosome 10 for body weight, but not to fasting or postprandial glucose levels. These data illustrate that NIDDM and body weight are under separate genetic control in the OLETF yet interact to yield the final disease phenotype in the two Nidd/of loci. In addition, body weight could be used in place of body mass index as an indicator of obesity in our experimental system of genetic study. This study will facilitate the understanding of the complex interaction between genetic susceptibility to NIDDM and obesity.

Animals↗