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Updated: Jul 11, 2025

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
Published on: November 29, 2024
A mathematical model for thrombotic risk assessment in type 2 diabetes
Sahana Kashyap1, Indumathi An1, Shashidhar Kn1
1Department of Biochemistry, Sri Devaraj Urs Medical College, Constituent college of Sri Devaraj Urs Academy of Higher Education and Research, Tamaka, Kolar, Karnataka, India.
Abstract:
Hyperglycaemia is known to alter the circulating lipids in diabetics. Combinatorial effect of in vivo synthesis of lipids and dietary lipids leads to atherosclerosis. Uncontrolled diabetes is linked with the cardiovascular outcome. This data has correlated the Castelli's Risk Index (CRI-I and CRI-II), Atherogenic Index of Plasma and Atherogenic Coefficient with microvascular complications of T2DM. Etio-pathogenesis of cardiovascular risk factors and lipid biomarkers speaks of the thrombotic events of cerebrovascular accidents and also the reno-vascular mechanisms of renal arterial thrombotic events. Documentary evidence have proved that the micro albuminuria is a "cutting edge" to assess the microvascular complications of renal and retina. Uncontrolled diabetes is known to alter the triglycerides, lower HDL-cholesterol and elevate LDL-cholesterol. Alteration of lipid profile mimics a major link between diabetes and the increased cardiovascular risk in diabetic patients.
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