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Updated: Jan 5, 2026

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
Published on: November 29, 2024
Cardiovascular disease in type 1 diabetes
Harish Sharma1, Mauro Lencioni1, Parth Narendran2,3
1Departments of Cardiology.
Insights
Cardiovascular disease (CVD) in type 1 diabetes (T1D) is an age-dependent risk, with endothelial dysfunction worsening with age. Risk assessment tools like QRISK3 are crucial for identifying high-risk T1D individuals for targeted interventions.
Area of Science:
- Endocrinology and Metabolism
- Cardiology
- Vascular Biology
Background:
- Cardiovascular disease (CVD) is a significant complication of diabetes, yet its mechanisms and management in type 1 diabetes (T1D) are less understood than in type 2 diabetes.
- Endothelial dysfunction is an early cellular marker of CVD, with its prevalence and severity increasing with age in T1D patients.
Purpose of the Study:
- To review current literature and guidelines on CVD in T1D.
- To highlight age-dependent cardiovascular risk factors and emerging risk assessment tools for T1D.
Main Methods:
- Literature review of recent studies and clinical guidelines.
- Analysis of cellular mechanisms of CVD in T1D, including endothelial dysfunction.
- Evaluation of existing and developing CVD risk assessment tools for T1D patients.
Main Results:
- Endothelial function is preserved in younger T1D patients but significantly impaired in older T1D individuals, indicating age-dependent risk.
- Several risk assessment tools, including QRISK3, are available or in development for T1D, with QRISK3 likely for routine use.
- CVD, particularly coronary artery disease, is a leading cause of mortality in T1D, often presenting silently and severely due to hyperglycemia-mediated oxidative stress and inflammation.
Conclusions:
- Endothelial dysfunction is a key age-dependent cardiovascular risk factor in T1D.
- Risk prediction tools are essential for identifying T1D individuals who may benefit from intensive risk factor modification.
- Routine screening for coronary artery disease is not recommended, but risk stratification aids in managing CVD in T1D.
Abstract:
Cardiovascular disease (CVD) is a well-recognized complication of diabetes. Although the association of type 2 diabetes with CVD has been well described, the mechanisms, risk stratification and screening strategies of CVD in type 1 diabetes (T1D) are less understood. This review aims to evaluate recent literature and guidelines regarding CVD in T1D. At the cellular level, the early stage of CVD is characterized by endothelial dysfunction. Recent studies have shown that endothelial function is unaffected in younger T1D patients but there is a significant degree of endothelial dysfunction in the older T1D population compared with healthy age-matched controls, highlighting the importance of the endothelial dysfunction in T1D as a major age-dependent cardiovascular risk factor. T1D risk assessment tools have been developed similar to those seen in type 2 diabetes. Foremost among these are the Danish Steno Type 1 risk engine, the Swedish T1D risk score, the Scottish T1D risk score and the QRISK risk calculator. The latter risk prediction tool is used for all patients but contains T1D as an independent risk variable and has the advantage of being derived from, and validated in, a large and diverse population. The latest version (QRISK3) is likely to be recommended for routine use in T1D patients in upcoming guidelines by the National Institute of Clinical Excellence. Mortality in adults with T1D is increasingly due to CVD. This is driven by hyperglycaemia-mediated oxidative stress and vascular inflammation, resulting in atherosclerosis and cardiac autonomic neuropathy. Coronary artery disease is the most significant contributor to CVD and in T1D, has a propensity towards a more silent and severe form. Routine screening of coronary artery disease does not alter outcomes and is therefore not recommended; however, risk prediction tools are being developed to aid identification of high-risk individuals for aggressive risk factor modification strategies.
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