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Related Concept Videos

Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

1.3K
Systolic Heart Failure and Compensatory MechanismsSystolic heart failure (also termed HFrEF, Heart Failure with Reduced Ejection Fraction) is the most prevalent type of heart filure. It results in a decreased volume of blood being pumped from the ventricle. The aortic arch and carotid sinuses have baroreceptors that detect reduced blood pressure, triggering the sympathetic nervous system (SNS) to release epinephrine and norepinephrine. Initially, this response aims to boost heart rate and...
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Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

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Heart failure (HF) is a progressive syndrome involving ventricles that leads to inadequate cardiac output. It can be classified based on location and output or ejection fraction. Ejection fraction (EF) is an essential measurement in the diagnosis and surveillance of HF. Reduced EF corresponds to systolic heart failure (HFrEF). However, HF with preserved ejection fraction (HFpEF) is becoming increasingly prevalent. Also known as diastolic HF, this form of HF is related to aging. The...
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Heart Failure I: Introduction01:27

Heart Failure I: Introduction

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Heart failure refers to a clinical syndrome caused by structural or functional cardiac disorders that prevent the heart from pumping an adequate amount of blood to meet the body's metabolic needs. This condition often arises from myocardial infarction or ischemia, leading to decreased cardiac output, reduced tissue perfusion, impaired gas exchange, fluid volume imbalance, and decreased functional ability.Heart failure can result from disruptions in the mechanisms that regulate cardiac output...
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Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

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Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
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Heart Failure III: Clinical Manifestations01:26

Heart Failure III: Clinical Manifestations

825
Heart failure (HF) manifests primarily as dyspnea, fatigue, and fluid retention, resulting in peripheral and pulmonary edema. Symptoms may vary depending on which ventricle is more affected, left or right.Left-Sided Heart FailureAlso known as left ventricular failure, this condition results from the left ventricle's inability to fill or eject sufficient blood into the systemic circulation. It leads to pulmonary congestion, which occurs when the left ventricle fails to eject blood effectively...
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Related Experiment Video

Updated: Mar 23, 2026

Dynamic Proteomic and miRNA Analysis of Polysomes from Isolated Mouse Heart After Langendorff Perfusion
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Dynamic Proteomic and miRNA Analysis of Polysomes from Isolated Mouse Heart After Langendorff Perfusion

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Transcriptome analysis in heart failure.

Scot J Matkovich1

  • 1Center for Pharmacogenomics, Department of Internal Medicine, Washington University School of Medicine, St Louis, Missouri, USA.

Current Opinion in Cardiology
|April 8, 2016
PubMed
Summary
This summary is machine-generated.

Transcriptome analysis, a powerful tool for understanding heart failure, identifies disease biomarkers and mechanisms. RNA sequencing offers accurate insights into cardiac disease, advancing research and potential treatments.

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Related Experiment Videos

Last Updated: Mar 23, 2026

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Area of Science:

  • Cardiovascular Research
  • Genomics
  • Molecular Biology

Background:

  • Heart failure is a complex condition with significant unmet medical needs.
  • Understanding the molecular mechanisms of heart failure is crucial for developing effective treatments.

Purpose of the Study:

  • To review the key factors in generating and evaluating transcriptome data for heart failure research.
  • To discuss recent studies utilizing transcriptome analysis in human and animal models of cardiac disease.

Main Methods:

  • Genome-wide analysis of RNA abundances (transcriptome analysis).
  • RNA sequencing (RNA-seq) for measuring differential RNA abundances.
  • Network and pathway analysis tools.

Main Results:

  • RNA sequencing demonstrates high accuracy and a wide dynamic range for measuring RNA abundances.
  • Transcriptome analysis, combined with pathway analysis, enhances understanding of heart failure mechanisms.
  • Current methods facilitate investigations into RNA alternative splicing in cardiac disease.

Conclusions:

  • Accurate and comprehensive transcriptome data are vital for advancing heart failure research.
  • Transcriptome data serve as a crucial link between genomic variations and protein expression.
  • Integrating transcriptome data with other omics data will maximize insights into heart failure.