Allometric scaling patterns among the human coronary artery tree, myocardial mass, and coronary artery flow

Jin-Ho Choi1, Eunsoo Kim2, Hyung Yoon Kim3

  • 1Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

Physiological Reports
|July 30, 2020
PubMed

Insights

The human coronary artery network may follow allometric scaling laws, optimizing energy efficiency. This study found power-law relationships between coronary artery size, myocardial mass, and blood flow, suggesting a principle of minimized energy expenditure.

Area of Science:

  • Cardiovascular Physiology
  • Biomedical Engineering
  • Quantitative Biology

Background:

  • The human coronary artery tree is vital for delivering oxygen to the myocardium, which has the highest oxygen extraction ratio.
  • Understanding the design principles of this vascular network is crucial for explaining its efficiency.

Purpose of the Study:

  • To investigate whether the human coronary arterial network adheres to allometric scaling laws.
  • To determine the relationship between coronary artery dimensions, myocardial mass, and blood flow.

Main Methods:

  • Analysis of 638 arteries from 43 patients without obstructive coronary artery disease using coronary computed tomography angiography.
  • Assessment of cumulative arterial length (L), volume (V), and diameter (D) relative to artery-specific myocardial mass (M).
  • Computation of flow rate (Q) using quantitative flow ratio (QFR) in 106 arteries.

Main Results:

  • Significant power-law relationships were observed between L, V, D, and M (p < .001).
  • Significant power-law relationships were also found between Q and M, L, V, and D (p < .001).
  • These findings indicate adherence to allometric scaling principles in the coronary arterial network.

Conclusions:

  • The human coronary arterial network's fundamental design principle appears to be governed by allometric scaling laws.
  • This scaling likely optimizes energy expenditure for efficient myocardial blood supply.
  • The study provides quantitative evidence for a predictable relationship within the coronary vasculature.