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Constitutive description of human femoropopliteal artery aging.

Journal articles  - Journal Article
Kamenskiy, A; Seas, A; Deegan, P; Poulson, W; Anttila, E; Sim, S; Desyatova, A; MacTaggart, J
Published in: Biomechanics and modeling in mechanobiology
April 2017

Femoropopliteal artery (FPA) mechanics play a paramount role in pathophysiology and the artery's response to therapeutic interventions, but data on FPA mechanical properties are scarce. Our goal was to characterize human FPAs over a wide population to derive a constitutive description of FPA aging to be used for computational modeling. Fresh human FPA specimens ([Formula: see text]) were obtained from [Formula: see text] predominantly male (80 %) donors 54±15 years old (range 13-82 years). Morphometric characteristics including radius, wall thickness, opening angle, and longitudinal pre-stretch were recorded. Arteries were subjected to multi-ratio planar biaxial extension to determine constitutive parameters for an invariant-based model accounting for the passive contributions of ground substance, elastin, collagen, and smooth muscle. Nonparametric bootstrapping was used to determine unique sets of material parameters that were used to derive age-group-specific characteristics. Physiologic stress-stretch state was calculated to capture changes with aging. Morphometric and constitutive parameters were derived for seven age groups. Vessel radius, wall thickness, and circumferential opening angle increased with aging, while longitudinal pre-stretch decreased ([Formula: see text]). Age-group-specific constitutive parameters portrayed orthotropic FPA stiffening, especially in the longitudinal direction. Structural changes in artery wall elastin were associated with reduction of physiologic longitudinal and circumferential stretches and stresses with age. These data and the constitutive description of FPA aging shed new light on our understanding of peripheral arterial disease pathophysiology and arterial aging. Application of this knowledge might improve patient selection for specific treatment modalities in personalized, precision medicine algorithms and could assist in device development for treatment of peripheral artery disease.

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Published In

Biomechanics and modeling in mechanobiology

DOI

EISSN

1617-7940

ISSN

1617-7959

Publication Date

April 2017

Volume

16

Issue

2

Start / End Page

681 / 692

Related Subject Headings

  • Young Adult
  • Peripheral Arterial Disease
  • Models, Biological
  • Middle Aged
  • Male
  • Humans
  • Female
  • Elastin
  • Collagen
  • Biomedical Engineering
 

Citation

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Kamenskiy, A., Seas, A., Deegan, P., Poulson, W., Anttila, E., Sim, S., … MacTaggart, J. (2017). Constitutive description of human femoropopliteal artery aging. Biomechanics and Modeling in Mechanobiology, 16(2), 681–692. https://doi.org/10.1007/s10237-016-0845-7
Kamenskiy, Alexey, Andreas Seas, Paul Deegan, William Poulson, Eric Anttila, Sylvie Sim, Anastasia Desyatova, and Jason MacTaggart. “Constitutive description of human femoropopliteal artery aging.Biomechanics and Modeling in Mechanobiology 16, no. 2 (April 2017): 681–92. https://doi.org/10.1007/s10237-016-0845-7.
Kamenskiy A, Seas A, Deegan P, Poulson W, Anttila E, Sim S, et al. Constitutive description of human femoropopliteal artery aging. Biomechanics and modeling in mechanobiology. 2017 Apr;16(2):681–92.
Kamenskiy, Alexey, et al. “Constitutive description of human femoropopliteal artery aging.Biomechanics and Modeling in Mechanobiology, vol. 16, no. 2, Apr. 2017, pp. 681–92. Epmc, doi:10.1007/s10237-016-0845-7.
Kamenskiy A, Seas A, Deegan P, Poulson W, Anttila E, Sim S, Desyatova A, MacTaggart J. Constitutive description of human femoropopliteal artery aging. Biomechanics and modeling in mechanobiology. 2017 Apr;16(2):681–692.
Journal cover image

Published In

Biomechanics and modeling in mechanobiology

DOI

EISSN

1617-7940

ISSN

1617-7959

Publication Date

April 2017

Volume

16

Issue

2

Start / End Page

681 / 692

Related Subject Headings

  • Young Adult
  • Peripheral Arterial Disease
  • Models, Biological
  • Middle Aged
  • Male
  • Humans
  • Female
  • Elastin
  • Collagen
  • Biomedical Engineering