Genomics of Cardiovascular Measures of Autonomic Tone.

J Cardiovasc Pharmacol

Department of Anesthesiology, Center for Translational Pain Medicine, Duke University Medical Center, Durham, NC.

Published: March 2018

AI Article Synopsis

  • The autonomic nervous system regulates involuntary bodily functions through a balance between the sympathetic and parasympathetic systems, and an imbalance can lead to cardiovascular issues and even death.
  • Cardiovascular measurements like heart rate and blood pressure provide insight into this balance, with genetic factors playing a significant role in the variability of autonomic tone.
  • While research has examined genetic influences on static metrics like heart rate, more work is needed on dynamic measures like heart rate variability, and understanding polygenic effects will be crucial for developing personalized treatments in the future.

Article Abstract

The autonomic nervous system exerts broad control over the involuntary functions of the human body through complex equilibrium between sympathetic and parasympathetic tone. Imbalance in this equilibrium is associated with a multitude of cardiovascular outcomes, including mortality. The cardiovascular static state of this equilibrium can be quantified using physiological parameters such as heart rate (HR), blood pressure, and by spectral analysis of HR variability. Here, we review the current state of knowledge of the genetic background of cardiovascular measurements of autonomic tone. For most parameters of autonomic tone, a large portion of variability is explained by genetic heritability. Many of the static parameters of autonomic tone have also been studied through candidate-gene approach, yielding some insight into how genotypes of adrenergic receptors affect variables such as HR. Genome-wide approaches in large cohorts similarly exist for static variables such as HR and blood pressure but less is known about the genetic background of the dynamic and more specific measurements, such as HR variability. Furthermore, because most autonomic measures are likely polygenic, pathway analyses and modeling of polygenic effects are critical. Future work will hopefully explain the control of autonomic tone and guide individualized therapeutic interventions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5839974PMC
http://dx.doi.org/10.1097/FJC.0000000000000559DOI Listing

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