Contributions of Glycosaminoglycans to Collagen Fiber Recruitment in Constitutive Modeling of Arterial Mechanics.
J Biomech
; 82: 211-219, 2019 01 03.
Article
em En
| MEDLINE
| ID: mdl-30415914
The contribution of glycosaminoglycans (GAGs) to the biological and mechanical functions of biological tissue has emerged as an important area of research. GAGs provide structural basis for the organization and assembly of extracellular matrix (ECM). The mechanics of tissue with low GAG content can be indirectly affected by the interaction of GAGs with collagen fibers, which have long been known to be one of the primary contributors to soft tissue mechanics. Our earlier study showed that enzymatic GAG depletion results in straighter collagen fibers that are recruited at lower levels of stretch, and a corresponding shift in earlier arterial stiffening (Mattson et al., 2016). In this study, the effect of GAGs on collagen fiber recruitment was studied through a structure-based constitutive model. The model incorporates structural information, such as fiber orientation distribution, content, and recruitment of medial elastin, medial collagen, and adventitial collagen fibers. The model was first used to study planar biaxial tensile stress-stretch behavior of porcine descending thoracic aorta. Changes in elastin and collagen fiber orientation distribution, and collagen fiber recruitment were then incorporated into the model in order to predict the stress-stretch behavior of GAG depleted tissue. Our study shows that incorporating early collagen fiber recruitment into the model predicts the stress-stretch response of GAG depleted tissue reasonably well (rmsâ¯=â¯0.141); considering further changes of fiber orientation distribution does not improve the predicting capability (rmsâ¯=â¯0.149). Our study suggests an important role of GAGs in arterial mechanics that should be considered in developing constitutive models.
Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Colágeno
/
Glicosaminoglicanos
Tipo de estudo:
Prognostic_studies
Limite:
Animals
Idioma:
En
Revista:
J Biomech
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Estados Unidos