Cardiac remodelling in type 2 diabetes: Pathophysiological mechanisms and opportunities for multiscale computational...

Area of Science:

• Cardiology
• Metabolic Diseases
• Computational Biology

Background:

• Type 2 diabetes significantly increases cardiac complication risk, including heart failure and arrhythmias.
• Chronic hyperglycemia and insulin resistance induce subcellular changes affecting cardiac contractility and repolarization.
• Diabetes leads to myocardial fibrosis and remodeling, impairing cardiac function and creating a pro-arrhythmic substrate.

Purpose of the Study:

• To review pathophysiological mechanisms of cardiac remodeling in type 2 diabetes.
• To discuss clinical implications and effects of glucose-lowering agents.
• To explore the potential of computational modeling in understanding and treating diabetes-driven cardiac disorders.

Main Methods:

• Review of key pathophysiological mechanisms in type 2 diabetes-related cardiac remodeling.
• Analysis of clinical implications and effects of common diabetes medications.
• Discussion of multiscale computational modeling and simulation of cardiac electrophysiology and mechanics.

Main Results:

• Type 2 diabetes causes significant electrophysiological, structural, and autonomic nervous system changes in the heart.
• These changes impair cardiac contractility, repolarization, and increase arrhythmia risk.
• Current clinical detection methods have limitations in fully understanding disease mechanisms.

Conclusions:

• Understanding diabetes-induced cardiac remodeling requires integrating molecular, cellular, and organ-level insights.
• Computational modeling provides a powerful in silico approach to unravel complex mechanisms.
• Advanced modeling can guide the development of precise therapies for cardiac complications in type 2 diabetes.