AIMC Topic: Diabetic Cardiomyopathies

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Mechanistic exploration of hexokinase 2 and metabolism in diabetic cardiomyopathy.

Molecular medicine reports May 26, 2025
The pathogenesis of diabetic cardiomyopathy (DCM) remains incompletely understood. The present study employed weighted gene co‑expression network analysis to analyze the DCM transcriptome dataset from the Gene Expression Omnibus (GEO) database to ide...
Humans Animals Male Disease Models, Animal Diabetic Cardiomyopathies Hexokinase Transcriptome Mice Gene Expression Profiling
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Identification and validation of endoplasmic reticulum stress-related diagnostic biomarkers for type 1 diabetic cardiomyopathy based on bioinformatics and machine learning.

Frontiers in endocrinology Mar 18, 2025
BACKGROUND: Diabetic cardiomyopathy (DC) is a serious complication in patients with type 1 diabetes mellitus and has become a growing public health problem worldwide. There is evidence that endoplasmic reticulum stress (ERS) is involved in the pathog...
Humans Machine Learning Biomarkers Mice Computational Biology Diabetes Mellitus, Type 1 Animals Gene Expression Profiling Endoplasmic Reticulum Stress Diabetic Cardiomyopathies
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Identification of biomarkers associated with macrophage polarization in diabetic cardiomyopathy based on bioinformatics and machine learning approaches.

Life sciences Feb 4, 2025
BACKGROUND: Numerous studies have investigated the role of macrophages in the pathogenesis of diabetic cardiomyopathy (DCM); however, the underlying mechanisms remain unclear.
Macrophage Activation Diabetic Cardiomyopathies Biomarkers Animals Computational Biology Rats Gene Regulatory Networks Humans Machine Learning Macrophages
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Development and validation of a machine learning-based approach to identify high-risk diabetic cardiomyopathy phenotype.

European journal of heart failure Sep 6, 2024
AIMS: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been reported among individuals with diabetes. However, a comprehensive characterization of diabetic cardiomyopathy (DbCM), a subclinical stage of myocardial abn...
Heart Failure Diabetic Cardiomyopathies Echocardiography Middle Aged Incidence United States Risk Assessment Risk Factors Aged Male Biomarkers Female Machine Learning Phenotype Humans
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Artificial intelligence-enhanced electrocardiogram analysis for identifying cardiac autonomic neuropathy in patients with diabetes.

Diabetes, obesity & metabolism Apr 11, 2024
AIM: To develop and employ machine learning (ML) algorithms to analyse electrocardiograms (ECGs) for the diagnosis of cardiac autonomic neuropathy (CAN).
Machine Learning Algorithms Aged Adult Female Humans Artificial Intelligence Diabetic Cardiomyopathies Autonomic Nervous System Diseases Electrocardiography Support Vector Machine Diabetic Neuropathies Male Middle Aged
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Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics.

Cardiovascular diabetology Jun 11, 2019
BACKGROUND: Diabetes mellitus is a chronic disease that impacts an increasing percentage of people each year. Among its comorbidities, diabetics are two to four times more likely to develop cardiovascular diseases. While HbA1c remains the primary dia...
Diabetic Cardiomyopathies Systems Integration Mitochondria, Heart Epigenesis, Genetic Models, Genetic Support Vector Machine Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genetic Markers DNA, Mitochondrial CpG Islands DNA Methylation Glycated Hemoglobin Middle Aged Risk Assessment Diabetes Mellitus, Type 2 Genomics Disease Progression Female Risk Factors Male Humans Prognosis
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