Literature DB >> 33741396

Evolving structure-function relations during aortic maturation and aging revealed by multiphoton microscopy.

Cristina Cavinato1, Sae-Il Murtada1, Alexia Rojas1, Jay D Humphrey2.   

Abstract

The evolving microstructure and mechanical properties that promote homeostasis in the aorta are fundamental to age-specific adaptations and disease progression. We combine ex vivo multiphoton microscopy and biaxial biomechanical phenotyping to quantify and correlate layer-specific microstructural parameters, for the primary extracellular matrix components (fibrillar collagen and elastic lamellae) and cells (endothelial, smooth muscle, and adventitial), with mechanical properties of the mouse aorta from weaning through natural aging up to one year. The aging endothelium was characterized by progressive reductions in cell density and altered cellular orientation. The media similarly showed a progressive decrease in smooth muscle cell density and alignment though with inter-lamellar widening from intermediate to older ages, suggesting cell hypertrophy, matrix accumulation, or both. Despite not changing in tissue thickness, the aging adventitia exhibited a marked thickening and straightening of collagen fiber bundles and reduction in cell density, suggestive of age-related remodeling not growth. Multiple microstructural changes correlated with age-related increases in circumferential and axial material stiffness, among other mechanical metrics. Because of the importance of aging as a risk factor for cardiovascular diseases, understanding the normal progression of structural and functional changes is essential when evaluating superimposed disease-related changes as a function of the age of onset.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biaxial mechanics; Homeostasis; Layer-specific microstructure; Mouse; Natural aging

Mesh:

Substances:

Year:  2021        PMID: 33741396      PMCID: PMC8154707          DOI: 10.1016/j.mad.2021.111471

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.498


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