Literature DB >> 26715421

Biomechanics of vascular mechanosensation and remodeling.

Nicolas Baeyens1, Martin A Schwartz2.   

Abstract

Flowing blood exerts a frictional force, fluid shear stress (FSS), on the endothelial cells that line the blood and lymphatic vessels. The magnitude, pulsatility, and directional characteristics of FSS are constantly sensed by the endothelium. Sustained increases or decreases in FSS induce vessel remodeling to maintain proper perfusion of tissue. In this review, we discuss these mechanisms and their relevance to physiology and disease, and propose a model for how information from different mechanosensors might be integrated to govern remodeling.
© 2016 Baeyens and Schwartz. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

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Year:  2016        PMID: 26715421      PMCID: PMC4694763          DOI: 10.1091/mbc.E14-11-1522

Source DB:  PubMed          Journal:  Mol Biol Cell        ISSN: 1059-1524            Impact factor:   4.138


INTRODUCTION

The circulatory system consists of a fluid (blood), a pump (the heart), and the vessels through which the blood circulates. Vertebrates also have a parallel system of lymphatic vessels that drain excess fluid from the tissues and return it to the blood. These structures are lined by a specialized epithelium, the endothelium, which is supported by mural cells (pericytes in capillaries and smooth muscle cells in arteries and veins) and extracellular matrix. Flowing blood and lymph exert a frictional force parallel to the endothelial surface termed fluid shear stress (FSS). FSS magnitude is directly proportional to the fluid velocity and viscosity and inversely proportional to the vessel diameter. Typical magnitudes in human blood vessels are between 0.5 and 5 Pa (Lipowsky ) and ∼10 times lower in lymphatic vessels (Dixon ). For comparison, typical traction forces from endothelial cells (ECs) in vitro are ∼100 Pa (Krishnan ), while circumferential stretch of the vessel wall during the cardiac cycle can be > 1000 Pa (Haga ). Blood and lymph flow are also pulsatile, with distinct characteristics depending on location and conditions (Feaver ). Flow can be laminar and unidirectional (i.e., flow smoothly); laminar with backflow (oscillatory) and multidirectional (different angles, including perpendicular); or turbulent (i.e., chaotic). Oscillatory flow is prominent in lymphatic vessels (Dixon ); multidirectional flows occur at vessel bifurcations or other irregularities (Zhao ), while true turbulence occurs just after the aortic valve or in more severe irregularities associated with disease (Gülan ). Despite its comparatively low magnitude, FSS is a major determinant of both developmental and postnatal remodeling of vasculature and lymphatics. In this review, we discuss recent views on the different mechanisms of flow sensing and their roles in physiology and disease.

MECHANOTRANSDUCTION THROUGH THE JUNCTIONAL COMPLEX

While flow sensing has been attributed to different mechanosensors, including G protein–coupled receptors, glycocalyx, and primary cilium and ion channels (Hahn and Schwartz, 2009), the best-studied FSS mechanoreceptor is the endothelial-specific junctional complex comprising PECAM1, VE-cadherin, VEGFR2 (Tzima ), and more recently VEGFR3 (Coon ) (Figure 1A). Pulling on these receptors with magnetic beads demonstrated direct mechanotransduction by PECAM1 (Tzima ; Collins ). Measurements using fluorescence-based tension sensors confirmed that flow induced an increase in force on PECAM1, unexpectedly mediated by de novo connection of PECAM1 to the vimentin cytoskeleton and transmission of force from myosin (Conway ). VE-cadherin bears force constitutively but does not transduce forces from flow, instead functioning as an adaptor. This function is mediated at least in part by the binding to VEGF receptors 2 and 3 through their respective transmembrane domains (Coon ). Our current model for mechanotransduction is that flow first acts on an as yet unidentified upstream sensor, which triggers cytoskeletal association of PECAM1 and transmission of myosin-derived force to this molecule (Conway ); force on PECAM1 triggers activation of a Src family kinase, probably fyn (Chiu ); in the presence of VE-cadherin, Src phosphorylates and transactivates VEGFRs, which mediate downstream signaling (Figure 1A).
FIGURE 1:

Control of vascular remodeling by fluid shear stress sensing. (A) Endothelial mechanosensitive junctional complex. Conceptual model for the assembly of the junctional mechanosensory complex. VEGF receptors (both VEGFR2 and VEGFR3) and VE-cadherin associate through their transmembrane domains (TMDs) within the plasma membrane (PM). FSS triggers force on PECAM-1, which leads to activation of a src family kinase (Src), which phosphorylates and activates VEGFRs. (B) Blood vs. lymphatic ECs. Higher VEGFR3 (green) expression in lymphatic ECs increases their sensitivity to FSS, resulting in a lower FSS set point in lymphatic compared with blood ECs. VEGFR2 is in red. (C) Classical control theory. In this model, ECs sense FSS magnitude and compare it with a pre-existing value, the FSS set point. Deviations from this value activate remodeling mechanisms to alter vessel diameter and return FSS to the steady-state level. This model is unlikely to describe a biological mechanism. (D) Biological pathways. We speculate that a more realistic mechanism for the FSS set point requires several mechanosensitive elements, denoted A, B, and C, that have different sensitivities. Pathway A is activated and reaches a maximum at low FSS, while the other(s) may require higher FSS. (E) Integration to determine the set point. The outputs from A, B, and C are denoted A′, B′, and C′. These pathways would be organized into a network such that B′ is maximal at an intermediate FSS level, the FSS set point (blue rectangle). B′ stabilizes the vessel and inhibits remodeling. The ratio of A′ and B′ determine the direction of remodeling, where high A′/low C′ gives inward remodeling and high A′/high C′ gives outward remodeling. This model is highly hypothetical and is meant only to illustrate the general class of theories that might explain the set point.

Control of vascular remodeling by fluid shear stress sensing. (A) Endothelial mechanosensitive junctional complex. Conceptual model for the assembly of the junctional mechanosensory complex. VEGF receptors (both VEGFR2 and VEGFR3) and VE-cadherin associate through their transmembrane domains (TMDs) within the plasma membrane (PM). FSS triggers force on PECAM-1, which leads to activation of a src family kinase (Src), which phosphorylates and activates VEGFRs. (B) Blood vs. lymphatic ECs. Higher VEGFR3 (green) expression in lymphatic ECs increases their sensitivity to FSS, resulting in a lower FSS set point in lymphatic compared with blood ECs. VEGFR2 is in red. (C) Classical control theory. In this model, ECs sense FSS magnitude and compare it with a pre-existing value, the FSS set point. Deviations from this value activate remodeling mechanisms to alter vessel diameter and return FSS to the steady-state level. This model is unlikely to describe a biological mechanism. (D) Biological pathways. We speculate that a more realistic mechanism for the FSS set point requires several mechanosensitive elements, denoted A, B, and C, that have different sensitivities. Pathway A is activated and reaches a maximum at low FSS, while the other(s) may require higher FSS. (E) Integration to determine the set point. The outputs from A, B, and C are denoted A′, B′, and C′. These pathways would be organized into a network such that B′ is maximal at an intermediate FSS level, the FSS set point (blue rectangle). B′ stabilizes the vessel and inhibits remodeling. The ratio of A′ and B′ determine the direction of remodeling, where high A′/low C′ gives inward remodeling and high A′/high C′ gives outward remodeling. This model is highly hypothetical and is meant only to illustrate the general class of theories that might explain the set point.

SENSING FLOW MAGNITUDE IN VESSEL REMODELING: THE SHEAR STRESS SET POINT THEORY

During adult life, blood vessels remodel to maintain optimal perfusion of tissues. Tissue growth or metabolic activity increases nutrient and oxygen demand, which triggers peripheral arteriole relaxation and decreased resistance, increasing blood flow and hence FSS in the upstream arteries (Michiels, 2004; Segal, 2005; Padilla ). It has long been observed that changing flow magnitude and thus shear stress leads to proportional changes of vessel diameter to restore the initial shear stress level (Thoma, 1893; Kamiya and Togawa, 1980; Kamiya ; Langille, 1996; Langille and O’Donnell, 1986; Langille ; Tronc ; Tuttle ). These observations suggested that ECs induce remodeling to maintain FSS within a desired range, essentially a set point. Sustained deviation outside this range then triggers readjustment of vessel diameter (Rodbard, 1975). We recently obtained evidence that ECs have an in vitro FSS set point at which flow activates pathways that promote blood vessel stabilization, whereas higher or lower FSS triggers pathways characteristic of remodeling (Baeyens ). We propose that FSS at the set point promotes EC quiescence and vessel maturation, whereas FSS outside that range triggers remodeling: inward for low and outward for high FSS (Figure 1C). The specific signaling or gene expression pathways that distinguish low flow/inward versus high flow/outward remodeling have not been determined, though production of nitric oxide by endothelial nitric oxide synthase (eNOS) has been implicated (Rudic ; Dumont ). PECAM1 is implicated in this process, since PECAM1−/− mice are defective in both inward and outward flow-dependent remodeling (Chen and Tzima, 2009; Chen ). Interestingly, PECAM1−/− mice show constitutive activation of eNOS but loss of flow responses (Fleming ; McCormick ), consistent with the junctional complex regulating eNOS activity in this process. Corresponding to the large differences in flow magnitudes and patterns for different types of vessels (Lipowsky ; Dixon ), vascular and lymphatic ECs showed distinct set points in vitro that matched their FSS levels in vivo (Baeyens ). This difference was largely accounted for by levels of VEGFR3, which is highly expressed in lymphatic ECs compared with blood vascular cells (Kaipainen ). It was shown that increasing VEGFR3 levels increased cells’ sensitivity to FSS, that is, the set point shifted to lower values. Identification of VEGFR3 as an element of the FSS junctional mechanosensor (Coon ) thus appears to explain the distinct FSS levels in veins versus lymphatic vessels (Figure 1B). How might flow sensors encode a set point? Classical control theory requires only a single measurement that is compared with a fixed value (Carpenter, 2004; Figure 1B). However, signal transduction pathways in cells seldom operate that way. In the absence of digital measurements, a more likely mechanism is the existence of several molecular sensors with different sensitivities whose outputs are integrated to determine the response. To illustrate the concept, one possible mechanisms of integration is proposed in Figure 1, D and E. Identification of these mechanosensors and characterization of their FSS dose–response characteristics and mechanisms of integration is a major area for future research.

SENSING FLOW FREQUENCY

Arterial and lymphatic flow patterns are highly pulsatile, whereas venous flow is nearly steady (Dixon ; Huo and Kassab, 2006). These time-varying components can strongly influence endothelial responses. Compared with steady flow with similar time-averaged magnitudes, pulsatile flow stimulates Erk activity more strongly (Kadohama ), while AMPK activity is sensitive to pulse frequency (Zhang ). Comparison of proinflammatory oscillatory flow with anti-inflammatory pulsatile-flow patterns at atherosclerosis-prone versus atherosclerosis-resistant sites in the human carotid artery identified specific frequency components that exerted pro- or anti-inflammatory effects (Feaver ). Of clinical interest, left ventricle assist devices for heart failure patients generate nonpulsatile flow that induces arterial-venous malformations (Islam ), suggesting that pulsatility is important for maintaining arterial identify. Erk may mediate these effects, since it is strongly linked to arterial specification (Deng ). These results imply that endothelial mechanosensors must decode subsecond-frequency characteristics, which necessitates rapid rates of both activation and inactivation. These kinetics, particularly the required inactivation rates, exclude even G protein signaling; however, ion channels can have very rapid activation and inactivation kinetics. Indeed, stretch-activated channels (SACs) have been implicated in FSS-induced calcium entry (Mendoza ; Bubolz ; Li ; Ranade ). Mechanosensitive Piezo channels have very rapid activation and inactivation rates (Coste ; Gottlieb ) and are required for vascular development (Li ; Ranade ), and thus are prime candidates. However, the nonselective SACs blocker gadolinium did not prevent EC alignment in response to FSS (Malek and Izumo, 1996) or other flow responses (Malek ; Traub ), potentially separating FSS-induced polarity from mechanosensitive calcium influx.

SENSING FLOW DIRECTION

The correlation between atherosclerosis-prone regions of arteries and disturbed flow led to the idea that oscillatory shear, where flow reverses during part of the cardiac cycle, promotes plaque formation (Ku ; Chiu and Chien, 2011). But how ECs sense flow direction is very poorly understood. Interestingly, ECs in athero-prone regions fail to elongate and align in the direction of flow, and cells therefore experience flow at many angles, including perpendicular, whereas in athero-resistant regions of blood vessels, flow is parallel to the cell axis. In fact, recent studies suggest that plaque localization correlates more strongly with the perpendicular or transverse wall shear stress component than with oscillations (Peiffer ; Mohamied ). Interestingly, for elongated ECs in vitro, flow perpendicular to the cells’ axis promotes inflammatory responses, while flow parallel to the axis stimulates primarily anti-inflammatory pathways (Wang , 2013). These effects correlate with the ability of steady laminar or unidirectional pulsatile FSS to induce cell elongation and alignment in the flow direction in conjunction with suppression of inflammation, whereas low or oscillatory flow fails to induce alignment and promotes inflammatory pathways (Mohan ; Chiu and Chien, 2011; Wang ). The fortuitous observation that the proteoglycan syndecan 4 (Sdc4) is required for EC alignment in flow provided a way to test this idea. When Sdc4−/− mice (in which ECs fail to align) were crossed into a high-cholesterol strain, atherosclerotic plaque not only increased but formed in normally resistant areas of laminar flow (Baeyens ). Yet in vitro, Sdc4 was not required for other flow responses, and thus appears to be specifically required for sensing flow direction, which is separable from sensing flow magnitude. Together, these results demonstrate that loss of alignment is causal for athero-susceptibility and that Sdc4 is a component of the flow direction sensor.

CONCLUSION AND PERSPECTIVES

Hemodynamic forces control vessel specification and maturation during development and continue to regulate vessel remodeling during postnatal and adult life. The exquisite ability of ECs to sense multiple aspects of fluid shear stress patterns allows them to coordinate the complex ballet of events involving different cell types and signaling pathways, to constantly adjust vessel structure and function. Identifying molecular mechanosensors behind the distinct sensing of FSS magnitude, direction, and pulsatility are major directions for future research. Further, characterizing how downstream signaling pathways and gene regulation events are integrated in the context of growth and disease is required to better understand the amazing plasticity of our blood vessels. The finely tuned biomechanical responses discussed here govern health and disease in nearly every tissue from our first to our last heartbeat. Understanding these processes is a major, exciting challenge for biomedical research in the coming years.
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