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Related Concept Videos

Heart Failure II: Pathophysiology01:29

Heart Failure II: Pathophysiology

14
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...
14

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A Surgical Model of Heart Failure with Preserved Ejection Fraction in Tibetan Minipigs
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Proteomics and Precise Exercise Phenotypes in Heart Failure With Preserved Ejection Fraction: A Pilot Study.

Ravi V Shah1, Shih-Jen Hwang2, Venkatesh L Murthy3

  • 1Vanderbilt Translational and Clinical Research Center, Cardiology Division Vanderbilt University Medical Center Nashville TN.

Journal of the American Heart Association
|October 27, 2023
PubMed
Summary

This study links cardiovascular proteins to exercise limitations in heart failure with preserved ejection fraction (HFpEF). These findings identify new therapeutic targets and risk stratification methods for preventing HFpEF.

Keywords:
HFpEFbiomarkersexercisehemodynamicsproteomics

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Area of Science:

  • Cardiovascular Medicine
  • Proteomics
  • Exercise Physiology

Background:

  • Exercise impairment is key in heart failure with preserved ejection fraction (HFpEF).
  • Previous HFpEF biomarker studies focused on resting states, not exercise responses.
  • This study integrates exercise phenotypes with proteomics for HFpEF insights.

Purpose of the Study:

  • To identify protein signatures associated with HFpEF exercise responses.
  • To discover novel therapeutic targets for HFpEF.
  • To explore proteomic links to distinct physiological impairments in HFpEF.

Main Methods:

  • Analyzed 277 proteins in 151 individuals (103 HFpEF, 48 controls) using cardiopulmonary exercise testing and invasive monitoring.
  • Used ridge regression to define proteomic signatures for 5 key HFpEF exercise variables.
  • Validated proteomic signatures in a separate cohort for association with incident HFpEF.

Main Results:

  • Proteomic signatures explained significant variance in exercise phenotypes (peak VO2, cardiac output, PCWP/CO slope, PVR, O2 extraction).
  • Identified proteins linked to HFpEF pathophysiology, including inflammatory and profibrotic factors.
  • Novel proteins associated with multiorgan health were implicated in impaired O2 extraction.

Conclusions:

  • The cardiovascular proteome correlates with precise exercise phenotypes in HFpEF.
  • Findings suggest novel mechanistic targets for HFpEF.
  • Proteomic signatures may aid in early risk stratification and prevention of HFpEF.