Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

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...
Pathophysiology of Heart Failure01:17

Pathophysiology of Heart Failure

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...
Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

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...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Heart Failure I: Introduction01:27

Heart Failure I: Introduction

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...
Heart Failure III: Clinical Manifestations01:26

Heart Failure III: Clinical Manifestations

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Shared splicing dysregulation in heart failure associated with dilated and ischaemic cardiomyopathy and spatial specificity across cardiac regions.

Cardiovascular research·2026
Same author

Multiomics for Risk Stratification in Atherosclerotic Cardiovascular Disease.

Circulation. Genomic and precision medicine·2026
Same author

Empowering healthy lifestyle behaviour through personalised intervention portfolios using a healthy lifestyle recommender system to prevent and control obesity in older adults: pilot study protocols from the HealthyW8 project.

BMJ open·2026
Same author

Pros and cons of Swedish law on intellectual property rights.

European heart journal·2026
Same author

RNA modifications in peripheral blood are associated with acute coronary syndrome.

Journal of molecular and cellular cardiology plus·2026
Same author

Blood N1-methyladenosine (m<sup>1</sup>A) RNA modification and outcome after cardiac arrest.

Critical care (London, England)·2026

Related Experiment Videos

Coordinated modular functionality and prognostic potential of a heart failure biomarker-driven interaction network.

Francisco Azuaje1, Yvan Devaux, Daniel R Wagner

  • 1Laboratory of Cardiovascular Research, Centre de Recherche Public-Santé, L-1150 Luxembourg. francisco.azuaje@crp-sante.lu

BMC Systems Biology
|May 14, 2010
PubMed
Summary

This study reveals that heart failure (HF) biomarkers act as key communicators within protein-protein interaction networks. Integrating expression patterns of these high-traffic genes can improve HF prediction.

Related Experiment Videos

Area of Science:

  • Cardiovascular Biology
  • Bioinformatics
  • Systems Biology

Background:

  • Biological network analysis enhances understanding of heart failure (HF) molecular mechanisms and biomarker identification.
  • A global protein-protein interaction (PPI) network relevant to HF was constructed using integrative bioinformatic analyses.

Purpose of the Study:

  • To identify novel heart failure biomarkers.
  • To elucidate molecular mechanisms underlying heart failure development.
  • To provide a systems-level understanding of heart failure.

Main Methods:

  • Integrative bioinformatic analysis of multiple "omic" data sources.
  • Characterization of a global protein-protein interaction (PPI) network.
  • Analysis of network modularity and functional roles.

Main Results:

  • The HF PPI network exhibits a highly modular architecture with overlapping functional roles.
  • Heart failure biomarkers function as key coordinators of intra- and inter-module communication, acting as "information traffic" mediators.
  • High-traffic proteins, though not always differentially expressed, can improve HF prediction when their expression patterns are integrated.
  • Transcription factors involved in hypertrophy prevention regulate network functional activity.

Conclusions:

  • Systems-driven analysis facilitates the discovery of novel heart failure biomarkers.
  • This approach offers a comprehensive and integrated understanding of HF-related mechanisms.