Blood Rheology (blood + rheology)

Distribution by Scientific Domains


Selected Abstracts


A cardiologist view of vascular disease in diabetes

DIABETES OBESITY & METABOLISM, Issue 4 2008
Christopher J. Lockhart
Diabetes mellitus is a potent risk factor for the development of a wide spectrum of cardiovascular (CV) complications. The complex metabolic milieu accompanying diabetes alters blood rheology, the structure of arteries and disrupts the homeostatic functions of the endothelium. These changes act as the substrate for end-organ damage and the occurrence of CV events. In those who develop acute coronary syndromes, patients with diabetes are more likely to die, both in the acute phase and during follow-up. Patients with diabetes are also more likely to suffer from chronic cardiac failure, independently of the presence of large vessel disease, and also more likely to develop stroke, renal failure and peripheral vascular disease. Preventing vascular events is the primary goal of therapy. Optimal cardiac care for the patient with diabetes should focus on aggressive management of traditional CV risk factors to optimize blood glucose, lipid and blood pressure control. Targeting medical therapy to improve plaque stability and diminish platelet hyper-responsiveness reduces the frequency of events associated with atherosclerotic plaque burden. In patients with critical lesions, revascularization strategies, either percutaneous or surgical, will often be necessary to improve symptoms and prevent vascular events. Improved understanding of the vascular biology will be crucial for the development of new therapeutic agents to prevent CV events and improve outcomes in patients with diabetes. [source]


Favorable Impact of a Vegan Diet with Exercise on Hemorheology: Implications for Control of Diabetic Neuropathy

JOURNAL OF THE PERIPHERAL NERVOUS SYSTEM, Issue 2 2003
MF McCarty
A little-noticed clinical report indicates that a low-fat, whole-food vegan diet, coupled with daily walking exercise, leads to rapid remission of neuropathic pain in the majority of type 2 diabetics expressing this complication. Concurrent marked improvements in glycemic control presumably contribute to this benefit, but are unlikely to be solely responsible. Consideration should be given to the possibility that improved blood rheology , decreased blood viscosity and increased blood filterability , plays a prominent role in mediating this effect. There is considerable evidence that neural hypoxia, secondary to impaired endoneurial microcirculatory perfusion, is a crucial etiologic factor in diabetic neuropathy; the unfavorable impact of diabetes on hemorheology would be expected to exacerbate endoneurial ischemia. Conversely, measures which improve blood fluidity would likely have a beneficial impact on diabetic neuropathy. There is indeed evidence that vegan diets, as well as exercise training, tend to decrease the viscosity of both whole blood and plasma; reductions in hematocrit and in fibrinogen may contribute to this effect. The fact that vegan diets decrease the white cell count is suggestive of an improvement in blood filterability as well; filterability improves with exercise training owing to an increase in erythrocyte deformability. Whether these measures influence the activation of leukocytes in diabetics , an important determinant of blood filterability , remains to be determined. There are various reasons for suspecting that a vegan diet can reduce risk for other major complications of diabetes , retinopathy, nephropathy, and macrovascular disease , independent of its tendency to improve glycemic control in type 2 patients. The vegan diet/exercise strategy represents a safe, ,low-tech' approach to managing diabetes that deserves far greater attention from medical researchers and practitioners. [source]


Theoretical Modeling in Hemodynamics of Microcirculation

MICROCIRCULATION, Issue 8 2008
JACK LEE
ABSTRACT Over the past decades, theoretical modeling has become an indispensable component of research into the hemodynamics of microcirculation. Numerous studies rely on modeling to provide quantitative insights into the interacting biophysical mechanisms that govern microcirculatory flow. The mechanical deformation of hematocytes has been addressed by continuum and molecular-informed computational models based on a growing body of experimental information. Theoretical analyses of single-vessel flow and blood rheology have led to a range of modeling approaches. Until recently, computational constraints limited direct simulations of multi-particle flows involving deformation and/or aggregation, but recent studies have begun to address this challenge. Network-level analyses have provided insights into the biophysical principles underlying the design of the microcirculation. This approach has been used to complement available experimental data and to derive empirical models of microvascular blood rheology. Continued increases in computational performance applied to current modeling techniques will enable larger scale simulations. In order to exploit this opportunity, integration of diverse theoretical approaches within a multi-scale framework is needed. [source]