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Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
Published on: November 29, 2024
Diagnostic approaches for diabetic cardiomyopathy
A Lorenzo-Almorós1, J Tuñón2, M Orejas2
1Renal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma, Av. Reyes Católicos 2, 28040, Madrid, Spain.
Insights
Diabetic cardiomyopathy (DCM) diagnosis lacks specificity. Combining advanced imaging with plasma biomarkers offers a promising minimally-invasive approach for early detection and stratification of cardiac dysfunction in diabetic patients.
Area of Science:
- Cardiology
- Diabetology
- Biomarker Research
Background:
- Diabetic cardiomyopathy (DCM) affects 12% of diabetic patients, often leading to heart failure.
- Current diagnostic methods for DCM are inefficient and lack specificity, partly due to poorly understood molecular mechanisms and asymptomatic early stages.
- DCM frequently coexists with other conditions like hypertension and obesity, complicating diagnosis after heart failure develops.
Purpose of the Study:
- To propose an integrated diagnostic strategy for diabetic cardiomyopathy (DCM).
- To enhance early detection and stratification of DCM in diabetic individuals.
- To address the limitations of current diagnostic methodologies for DCM.
Main Methods:
- Reviewing traditional echocardiography and advanced imaging techniques like Phase-Magnetic Resonance Imaging and 2D/3D-Speckle Tracking Echocardiography for DCM detection.
- Investigating the utility of specific plasma biomarkers (Cardiotrophin-1, activin A, IGFBP-7, Heart fatty-acid binding protein) in assessing cardiac function.
- Suggesting a combined approach using imaging and biomarker analysis for DCM diagnosis.
Main Results:
- Advanced imaging techniques show potential for earlier DCM detection by quantifying myocardial metabolism and strain.
- Specific plasma biomarkers correlate positively with cardiac hypertrophy, contractility, and steatosis.
- These biomarkers may aid in identifying initial stages of DCM.
Conclusions:
- A combination of minimally-invasive imaging techniques and plasma biomarker measurements is proposed for improved DCM diagnosis.
- This integrated approach could lead to earlier and more specific recognition of DCM in diabetic patients.
- Further research is warranted to validate this combined diagnostic strategy for diabetic cardiomyopathy.
Abstract:
Diabetic cardiomyopathy (DCM) is a cardiac dysfunction which affects approximately 12% of diabetic patients, leading to overt heart failure and death. However, there is not an efficient and specific methodology for DCM diagnosis, possibly because molecular mechanisms are not fully elucidated, and it remains asymptomatic for many years. Also, DCM frequently coexists with other comorbidities such as hypertension, obesity, dyslipidemia, and vasculopathies. Thus, human DCM is not specifically identified after heart failure is established. In this sense, echocardiography has been traditionally considered the gold standard imaging test to evaluate the presence of cardiac dysfunction, although other techniques may cover earlier DCM detection by quantification of altered myocardial metabolism and strain. In this sense, Phase-Magnetic Resonance Imaging and 2D/3D-Speckle Tracking Echocardiography may potentially diagnose and stratify diabetic patients. Additionally, this information could be completed with a quantification of specific plasma biomarkers related to related to initial stages of the disease. Cardiotrophin-1, activin A, insulin-like growth factor binding protein-7 (IGFBP-7) and Heart fatty-acid binding protein have demonstrated a stable positive correlation with cardiac hypertrophy, contractibility and steatosis responses. Thus, we suggest a combination of minimally-invasive diagnosis tools for human DCM recognition based on imaging techniques and measurements of related plasma biomarkers.
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