Thoracic aortic aneurysms (TAA) are a group of life threatening conditions for which there is no good therapy. We have proposed that specific genetic defects and environmental insults that alter distinct aspects of the physiological interactions amongst cells and ECM lead to TAAs. As such, we view TAA as a disease of altered vascular mechanobiology. In this Program Project Grant application, we will focus on the biological responses of aortic cells, namely smooth muscle cells (SMC) and endothelial cells (EC) to the two major physical determinants of disease, namely decreased ECM integrity and increased hemodynamic loads. We will examine responses of ECs and SMCs during aneurysm development in mice with normal or compromised ECM while focusing on signaling through angiotensin II and transforming growth factor beta in response to increased hemodynamic loads. We will examine responses of the multiple mouse models to changes in flow, pressure, and additional genetic perturbations focusing on AT1r, TGFBR1/2, TGF?, and flow-dependent signaling and activation (e.g., VECAD and PECAM). Consequences of cellular and tissue changes will be analyzed with our Computational and Experimental Biomechanical Assessment and Bioinformatics and Modeling Cores. For example, a subset of mice from all mouse models will be tested in the Computational and Experimental Biomechanical Assessment core for biomechanical parameters and all differentially expressed gene data from RNAseq experiments will be analyzed in the Bioinformatics and Modeling core. In this way the information from all four projects can be applied en mass yielding considerably more significance. Our intent is to develop novel interpretations from the changes in biomechanics and cell signaling to yield new testable hypothesis concerning ECM modulation in addition to the revelation of important signaling nodes and novel potential drug therapies. We propose that a consistent, integrated approach, using unique but complementary mouse models for aneurysm genesis and progression, studied under several conditions will yield unique insights in a synergistic manner.

Public Health Relevance

This Program Project Grant focuses on the molecular pathogenesis of thoracic aortic aneurysms (TAAs), a significant medical problem that currently is treated only by prophylactic surgery or with anti-hypertensive drugs. We hypothesize that cells in the aorta misinterpret signals from the surrounding matrix and that the response of the cells to these signals is maladaptive resulting in TAA, and we propose to determine how aortic cells sense mechanical stress, how they convert it into biochemical signals, and how altered cellular responses affect the properties of the vessel wall during stretch and relaxation. This highly significant goal will be achieved through the coordinated interactions of six leading experts at three neighboring institutions, who together will implement a novel, multidisciplinary approach in technical areas pertinent to this unresolved biomedical problem. !

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL134605-02
Application #
9658555
Study Section
Special Emphasis Panel (ZHL1)
Program Officer
Mcdonald, Cheryl
Project Start
2018-03-01
Project End
2023-02-28
Budget Start
2019-03-01
Budget End
2020-02-29
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
New York University
Department
Anatomy/Cell Biology
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Bersi, Matthew R; Bellini, Chiara; Humphrey, Jay D et al. (2018) Local variations in material and structural properties characterize murine thoracic aortic aneurysm mechanics. Biomech Model Mechanobiol :
Latorre, Marcos; Humphrey, Jay D (2018) Modeling mechano-driven and immuno-mediated aortic maladaptation in hypertension. Biomech Model Mechanobiol :
Korneva, A; Zilberberg, L; Rifkin, D B et al. (2018) Absence of LTBP-3 attenuates the aneurysmal phenotype but not spinal effects on the aorta in Marfan syndrome. Biomech Model Mechanobiol :