Computational modeling predicts immuno-mechanical mechanisms of maladaptive aortic remodeling in hypertension. (August 2019)
- Record Type:
- Journal Article
- Title:
- Computational modeling predicts immuno-mechanical mechanisms of maladaptive aortic remodeling in hypertension. (August 2019)
- Main Title:
- Computational modeling predicts immuno-mechanical mechanisms of maladaptive aortic remodeling in hypertension
- Authors:
- Latorre, Marcos
Bersi, Matthew R.
Humphrey, Jay D. - Abstract:
- Abstract: 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 isAbstract: 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. … (more)
- Is Part Of:
- International journal of engineering science. Volume 141(2019:Aug.)
- Journal:
- International journal of engineering science
- Issue:
- Volume 141(2019:Aug.)
- Issue Display:
- Volume 141 (2019)
- Year:
- 2019
- Volume:
- 141
- Issue Sort Value:
- 2019-0141-0000-0000
- Page Start:
- 35
- Page End:
- 46
- Publication Date:
- 2019-08
- Subjects:
- Wall stress -- Blood pressure -- Aorta -- Constrained mixture -- Inflammation
Engineering -- Periodicals
Ingénierie -- Périodiques
Engineering
Periodicals
620 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00207225 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijengsci.2019.05.014 ↗
- Languages:
- English
- ISSNs:
- 0020-7225
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.240000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10924.xml