Expression profiling of cardiovascular disease
1Center for Molecular Genetics, Department of Molecular Cardiology, Lerner Research Institute, Cleveland, OH, USA.
Insights
Microarray technology reveals gene expression changes in cardiovascular diseases like coronary artery disease. These findings offer insights into disease mechanisms and potential new diagnostic and therapeutic markers.
Area of Science:
- Genomics
- Molecular Biology
- Cardiovascular Research
Background:
- Cardiovascular diseases (CVDs) are leading causes of death globally, with complex genetic and environmental origins.
- The molecular mechanisms driving CVDs, including coronary artery disease (CAD), myocardial infarction (MI), congestive heart failure (CHF), and congenital heart disease (CHD), remain largely unknown.
- Gene expression is hypothesized to play a critical role in CVD development and progression.
Purpose of the Study:
- To investigate global gene expression patterns in various cardiovascular diseases using microarray technology.
- To identify specific genes and molecular pathways associated with different CVDs and disease processes.
- To explore the potential of gene expression profiling for discovering novel diagnostic and therapeutic targets in cardiovascular medicine.
Main Methods:
- Application of high-throughput microarray technology to compare gene expression profiles between normal and diseased cells/tissues.
- Profiling gene expression in patients with CAD/MI, CHF, and CHD.
- Characterizing gene expression in endothelial cells, vascular smooth muscle cells, and inflammatory cells under conditions mimicking CVD processes.
Main Results:
- Identification of distinct gene expression patterns associated with specific cardiovascular diseases.
- Discovery of unique gene subsets linked to particular disease processes within CVDs.
- Demonstration of microarray's capability to profile cellular responses relevant to CAD/MI.
Conclusions:
- Microarray analysis provides valuable insights into the molecular underpinnings of cardiovascular diseases.
- Gene expression profiling holds promise for identifying novel biomarkers for cardiovascular disease diagnosis.
- This technology may pave the way for the development of new therapeutic strategies for managing CVDs.
Abstract:
Cardiovascular disease is the most important cause of morbidity and mortality in developed countries, causing twice as many deaths as cancer in the USA. The major cardiovascular diseases, including coronary artery disease (CAD), myocardial infarction (MI), congestive heart failure (CHF) and common congenital heart disease (CHD), are caused by multiple genetic and environmental factors, as well as the interactions between them. The underlying molecular pathogenic mechanisms for these disorders are still largely unknown, but gene expression may play a central role in the development and progression of cardiovascular disease. Microarrays are high-throughput genomic tools that allow the comparison of global expression changes in thousands of genes between normal and diseased cells/tissues. Microarrays have recently been applied to CAD/MI, CHF and CHD to profile changes in gene expression patterns in diseased and non-diseased patients. This same technology has also been used to characterise endothelial cells, vascular smooth muscle cells and inflammatory cells, with or without various treatments that mimic disease processes involved in CAD/MI. These studies have led to the identification of unique subsets of genes associated with specific diseases and disease processes. Ongoing microarray studies in the field will provide insights into the molecular mechanism of cardiovascular disease and may generate new diagnostic and therapeutic markers.
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