Genetic prediction of heart failure incidence, prognosis and beta-blocker response

Fabiana Filigheddu1

  • 1Department of Clinical and Experimental Medicine, University of Sassari, Viale S.Pietro 8, 07100 Sassari, Italy. ffiligheddu@uniss.it

Insights

Genetic factors may influence heart failure (HF) treatment, but current evidence does not support genetic testing for HF therapy. Large-scale studies are needed to explore personalized HF treatment strategies.

Area of Science:

  • Cardiology
  • Pharmacogenomics
  • Genetics

Background:

  • Heart failure (HF) is a prevalent condition characterized by left ventricular dysfunction, leading to significant mortality, morbidity, and healthcare expenses.
  • Current HF management relies on beta-blockers, diuretics, and ACE inhibitors/angiotensin receptor blockers, which improve survival and reduce illness.
  • Individual responses to HF therapies vary, suggesting a potential role for genetic factors in treatment efficacy.

Purpose of the Study:

  • To review the existing literature on the influence of candidate genes in the development and prognosis of HF.
  • To examine the pharmacogenomics of beta-blocker treatment in patients with HF.
  • To assess the current evidence for using genetic information to guide HF therapy.

Main Methods:

  • Comprehensive literature review of studies investigating genetic factors in HF.
  • Analysis of research on the pharmacogenomics of beta-blockers in HF patients.
  • Evaluation of the clinical utility of genetic testing for HF treatment.

Main Results:

  • The reviewed literature explores the role of candidate genes in HF development and prognosis.
  • Pharmacogenomic studies of beta-blockers in HF patients indicate genetic influences on treatment response.
  • Current findings do not substantiate the use of genetic tests for guiding HF therapy.

Conclusions:

  • While genetics likely modifies HF progression and treatment response, current evidence is insufficient to support genetic testing in clinical practice.
  • Further large-scale, well-designed genome-wide studies are necessary to establish the role of genetic tailoring in systolic HF management.
  • Personalized HF therapy based on genetic profiles requires more robust scientific validation.

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