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Related Concept Videos

Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

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Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
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Coronary Artery Disease II: Pathophysiology01:26

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Coronary Artery Disease (CAD) originates from a series of events that impair the function of coronary arteries, the blood vessels responsible for delivering oxygen-rich blood to the heart muscle. The pathophysiology of CAD is closely linked to atherosclerosis, a chronic inflammatory and lipid-driven condition affecting the vascular endothelium.1. Endothelial DamageThe process begins with damage to the vascular endothelium, which serves as a protective barrier between the blood and the vessel...
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Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

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Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
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Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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Acute Coronary Syndrome I: Introduction01:30

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Acute Coronary Syndrome (ACS) encompasses a spectrum of heart conditions caused by sudden obstruction of coronary arteries, typically resulting from the rupture of an atherosclerotic plaque and subsequent thrombus (blood clot) formation. This obstruction can lead to partial or complete blockage of blood flow, causing varying degrees of myocardial ischemia or infarction.ACS includes the following clinical entities:Unstable Angina (UA)Non-ST-Elevation Myocardial Infarction (NSTEMI)ST-Elevation...
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Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations01:19

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The pathophysiology of Acute Coronary Syndrome [ACD] involves several key processes:The main underlying cause of ACD is atherosclerosis, a chronic inflammatory disease characterized by the buildup of lipid-laden plaques within the coronary arteries.As the atherosclerotic plaque grows in the coronary artery, it may become unstable due to the formation of a lipid-rich core and a thin fibrous cap. Inflammatory cells within the plaque, such as macrophages, secrete enzymes that degrade the...
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Network motif-based method for identifying coronary artery disease.

Yin Li1, Yan Cong1, Yun Zhao1

  • 1Emergency Department, Huadong Hospital, Fudan University, Shanghai 200040, P.R. China.

Experimental and Therapeutic Medicine
|June 28, 2016
PubMed
Summary

A new network motif-based method improves coronary artery disease (CAD) identification accuracy. This approach analyzes gene interactions, offering a more efficient and precise alternative to traditional methods using individual differentially expressed genes (DEGs).

Keywords:
coronary artery diseasedifferentially-expressed genesidentification methodsthree-node network motifs

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Conventional methods for identifying coronary artery disease (CAD) using individual differentially expressed genes (DEGs) have limitations in efficiency and accuracy.
  • Integrated gene regulatory networks and network motifs offer a promising avenue for a more comprehensive understanding of complex diseases like CAD.

Purpose of the Study:

  • To develop and validate a novel, more efficient method for identifying CAD patients.
  • To compare the diagnostic accuracy of a network motif-based approach against the conventional DEG-based method.

Main Methods:

  • Downloaded and preprocessed GSE42148 gene microarray data to identify DEGs.
  • Constructed an integrated gene regulation network using ENCODE and HPRD data.
  • Utilized FANMOD to detect three-gene network motifs and GlobalAncova to identify differential motifs between CAD and control groups.
  • Performed functional annotation, pathway enrichment, and clustering analyses.

Main Results:

  • Detected 9,008 significant three-node network motifs and identified 1,132 differential network motifs involving 697 genes.
  • The 697 genes were enriched in 154 Gene Ontology terms and 14 KEGG pathways.
  • Clustering analysis showed increased accuracy in identifying CAD patients using the top 20 network motifs compared to individual DEGs.

Conclusions:

  • The network motif-based method demonstrates superior efficiency and accuracy for CAD patient identification.
  • This systems biology approach provides a more robust diagnostic tool for coronary artery disease.