- -

Computational modeling predicts immuno-mechanical mechanisms of maladaptive aortic remodeling in hypertension

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Computational modeling predicts immuno-mechanical mechanisms of maladaptive aortic remodeling in hypertension

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Latorre, Marcos es_ES
dc.contributor.author Bersi, Matthew R. es_ES
dc.contributor.author Humphrey, Jay D. es_ES
dc.date.accessioned 2023-01-26T19:01:38Z
dc.date.available 2023-01-26T19:01:38Z
dc.date.issued 2019-08 es_ES
dc.identifier.issn 0020-7225 es_ES
dc.identifier.uri http://hdl.handle.net/10251/191469
dc.description.abstract [EN] Uncontrolled hypertension is a major risk factor for myriad cardiovascular diseases. Among its many effects, hypertension increases central artery stiffness which in turn is both an initiator and indicator of disease. Despite extensive clinical, animal, and basic science studies, the biochemomechanical mechanisms by which hypertension drives aortic stiffening remain unclear. In this paper, we show that a new computational model of aortic growth and remodeling can capture differential effects of induced hypertension on the thoracic and abdominal aorta in a common mouse model of disease. Because the simulations treat the aortic wall as a constrained mixture of different constituents having different material properties and rates of turnover, one can gain increased insight into underlying constituent-level mechanisms of aortic remodeling. Model results suggest that the aorta can mechano-adapt locally to blood pressure elevation in the absence of marked inflammation, but large increases in inflammation drive a persistent maladaptive phenotype characterized primarily by adventitial fibrosis. Moreover, this fibrosis appears to occur via a marked increase in the rate of deposition of collagen having different material properties in the absence of a compensatory increase in the rate of matrix degradation. Controlling inflammation thus appears to be key to reducing fibrosis, but therapeutic strategies should not compromise the proteolytic activity of the wall that is essential to mechanical homeostasis. es_ES
dc.description.sponsorship This work was supported, in part, by grants from the US NIH: R01 HL105297, U01 HL116323, U01 HL142518, and P01 HL134605 es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof International Journal of Engineering Science es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Wall stress es_ES
dc.subject Blood pressure es_ES
dc.subject Aorta es_ES
dc.subject Constrained mixture es_ES
dc.subject Inflammation es_ES
dc.title Computational modeling predicts immuno-mechanical mechanisms of maladaptive aortic remodeling in hypertension es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ijengsci.2019.05.014 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH//R01 HL105297//Mechanisms Underlying the Progression of Arterial Stiffness in Hypertension/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH//U01 HL116323//Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic Dissection/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH//U01 HL142518//Multimodality imaging-driven multifidelity modeling of aortic dissection/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH//P01 HL134605 //Endothelial Mechanotransduction in Thoracic Aneurysm Formation and Progression/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Latorre, M.; Bersi, MR.; Humphrey, JD. (2019). Computational modeling predicts immuno-mechanical mechanisms of maladaptive aortic remodeling in hypertension. International Journal of Engineering Science. 141:35-46. https://doi.org/10.1016/j.ijengsci.2019.05.014 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ijengsci.2019.05.014 es_ES
dc.description.upvformatpinicio 35 es_ES
dc.description.upvformatpfin 46 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 141 es_ES
dc.identifier.pmid 32831391 es_ES
dc.identifier.pmcid PMC7437922 es_ES
dc.relation.pasarela S\472130 es_ES
dc.contributor.funder National Institutes of Health, EEUU es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem