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Capillary network morphology and capillary flow

A C Groom1, C G Ellis, S J Wrigley

  • 1Department of Medical Biophysics, University of Western Ontario, London, Canada.

International Journal of Microcirculation, Clinical and Experimental
|September 1, 1995
PubMed
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Capillary network structure significantly impacts red blood cell (RBC) flow distribution in skeletal muscle. Network morphology, not just arterioles, dictates perfusion heterogeneity, especially during low-flow conditions.

Area of Science:

  • Physiology
  • Microcirculation Research
  • Skeletal Muscle Biology

Background:

  • Capillary network morphology influences blood flow distribution.
  • Heterogeneity in red blood cell (RBC) perfusion is a key factor in skeletal muscle function.
  • Understanding microcirculation dynamics is crucial for tissue oxygenation.

Purpose of the Study:

  • To demonstrate the critical role of capillary network structure in determining RBC perfusion heterogeneity.
  • To quantify the contribution of network morphology versus arteriolar input to flow distribution.
  • To investigate how capillary network configuration changes affect perfusion.

Main Methods:

  • Computer analysis of in vivo microcirculation video images.
  • Quantification of capillary diameter, path length, and segment length heterogeneity.

Related Experiment Videos

  • Assessment of network configuration changes with fiber length variations.

    • Main Results:

    • Capillary network structure accounts for over 70% of spatial RBC perfusion heterogeneity.
    • RBC flow continuously redistributes among capillaries.
    • Spatial heterogeneity increases significantly as arteriolar input decreases, predicting maldistribution in low-flow states.

    Conclusions:

    • Capillary network morphology is a primary determinant of functional capillary density.
    • Passive rheological mechanisms and network structure are crucial for proper blood flow distribution.
    • Skeletal muscle microcirculation exhibits significant spatial and temporal perfusion heterogeneity driven by network architecture.