New biomarker strategies to enable precision cardiovascular medicine

Kristen Bede1, Wai H Wilson Tang1,2

  • 1Center for Clinical Genomics.

Insights

Precision medicine uses genomic, personal, and environmental data for disease prevention and treatment. Biomarker strategies are advancing precision cardiovascular medicine by identifying novel therapeutic targets and risk cohorts.

Area of Science:

  • Cardiovascular Medicine
  • Genomics
  • Biomarker Discovery

Background:

  • Precision medicine integrates genomic, personal, and environmental factors for tailored disease treatment and prevention.
  • Cardiovascular diseases (CVD) have complex etiologies, with rare monogenic causes and increasing focus on polygenic risk and environmental influences.
  • Emerging research explores novel pathways and therapeutic targets, including PCSK9 inhibitors for familial hypercholesterolemia and myosin ATPase inhibitors for hypertrophic cardiomyopathy.

Purpose of the Study:

  • To review emerging biomarker strategies for precision cardiovascular medicine.
  • To highlight how genomic and environmental factors inform CVD prevention and treatment.
  • To showcase novel therapeutic targets identified through genetic and metabolomic insights.

Main Methods:

  • Literature review of recent advancements in precision cardiovascular medicine.
  • Analysis of biomarker strategies including genetic variants, polygenic risk scores, and metabolomic insights.
  • Examination of case studies illustrating the application of precision medicine in CVD.

Main Results:

  • Biomarker strategies, including genetic and metabolomic approaches, are crucial for identifying individuals at high risk for CVD.
  • Rare genetic variants and extreme phenotypes have led to the discovery of novel therapeutic targets like PCSK9 inhibitors.
  • Polygenic risk scores and metabolomic insights, such as gut microbiota-derived pathways, offer new avenues for CVD susceptibility modulation.

Conclusions:

  • Operationalizing precision cardiovascular medicine requires robust knowledge systems and data infrastructure.
  • Integrating genetic and environmental data is essential for effective CVD prevention and treatment.
  • Advancements in biomarker discovery are paving the way for personalized cardiovascular care.
Abstract

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