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From Transcript to Tissue: Multiscale Modeling from Cell Signaling to Matrix Remodeling.

ABSTRACT: Tissue-level biomechanical properties and function derive from underlying cell signaling, which regulates mass deposition, organization, and removal. Here, we couple two existing modeling frameworks to capture associated multiscale interactions-one for vessel-level growth and remodeling and one for cell-level signaling-and illustrate utility by simulating aortic remodeling. At the vessel level, we employ a constrained mixture model describing turnover of individual wall constituents (elastin, intramural cells, and collagen), which has proven useful in predicting diverse adaptations as well as disease progression using phenomenological constitutive relations. Nevertheless, we now seek an improved mechanistic understanding of these processes; we replace phenomenological relations in the mixture model with a logic-based signaling model, which yields a system of ordinary differential equations predicting changes in collagen synthesis, matrix metalloproteinases, and cell proliferation in response to altered intramural stress, wall shear stress, and exogenous angiotensin II. This coupled approach promises improved understanding of the role of cell signaling in achieving tissue homeostasis and allows us to model feedback between vessel mechanics and cell signaling. We verify our model predictions against data from the hypertensive murine infrarenal abdominal aorta as well as results from validated phenomenological models, and consider effects of noisy signaling and heterogeneous cell populations.

SUBMITTER: Irons L

PROVIDER: S-EPMC8260704 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Rationale: Cardiac extracellular matrix (ECM) comprises a dynamic molecular network providing structural support to heart tissue function. Understanding the impact of ECM remodeling on cardiac cells during heart failure (HF) is essential to prevent adverse ventricular remodeling and restore organ functionality in affected patients. Objectives: We aimed to (i) identify consistent modifications to cardiac ECM structure and mechanics that contribute to HF and (ii) determine the underlying molecular mechanisms. Methods and Results: We first performed decellularization of human and murine ECM (dECM) and then analyzed the pathological changes occurring in dECM during HF by atomic force (AFM), two-photon microscopy, high-resolution 3D image analysis and computational fluid dynamics (CFD) simulation. We then performed molecular and functional assays in patient-derived cardiac fibroblasts (CFs) based on YAP-TEAD mechanosensing activity and collagen contraction assays. The analysis of HF dECM resulting from ischemic (IHD) or dilated cardiomyopathy (DCM), as well as from mouse infarcted tissue, identified a common pattern of modifications in their 3D topography. As compared to healthy heart, HF ECM exhibited aligned, flat and compact fiber bundles, with reduced elasticity and organizational complexity. At the molecular level, RNA sequencing of HF CFs highlighted the overrepresentation of dysregulated genes involved in ECM organization, or being connected to TGFß1, Interleukin-1, TNF-alpha and BDNF signaling pathways. Functional tests performed on HF CFs pointed at mechanosensor YAP as a key player in ECM remodeling in the diseased heart via transcriptional activation of focal adhesion assembly. Finally, in vitro experiments clarified pathological cardiac ECM prevents cell homing, thus providing further hints to identify a possible window of action for cell therapy in cardiac diseases. Conclusions: Our multi-parametric approach has highlighted repercussions of ECM remodeling on cell homing, CF activation and focal adhesion protein expression via hyper-activated YAP signaling during HF. Key words: Decellularization, extracellular matrix, dilated cardiomyopathy, ischemic heart disease, YAP, dilated cardiomyopathy, mechanobiology.

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From Transcript to Tissue: Multiscale Modeling from Cell Signaling to Matrix Remodeling.

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