Mechanobiology in cardiac mechanics

Author(s):  
Michael Sheetz

AbstractThe contraction-relaxation cycle of the heart is one of the most robust mechanical systems in the body that adapts rapidly to the body’s needs by changing mechanical parameters. In many respects, we can consider the cardiac system as a complex machine and can use engineering approaches to describe its function. The classical physiology of the heart also focused on understanding function but the new molecular level tools in light microscopy and nanoengineering now enable a deeper understanding of the physiology. The field of mechanobiology has emerged with a focus on how mechanical activity alters biological systems at the molecular level and how those systems in turn control mechanical parameters. In the case of mechanical activity, there are clearly benefits of exercise for the heart, for cancer patients, and for aging but we do not understand the links at a molecular level. Why does regular exercise benefit the heart? We have some preliminary clues at a molecular level about the benefits of physical activity in the cases of cancer and aging; however, there is less known about how exercise affects cardiovascular performance. Unlike the omics approaches which generally link proteins to processes, a mechanobiological understanding of a process explains how forces and mechanical activity will regulate the process through modifications of protein activities. In other words, mechanical activity is an essential component of most biological systems that is transduced into biochemical changes in protein activity. Further, it follows logically that if a mechanical parameter of the cardiac system is typically controlled, then cellular mechanosensing systems must be able to directly or indirectly measure that parameter. The challenge is to understand how changes in activity of the heart are controlled in the short term and then how the system adapts to the integrated level of activity over the longer term. By way of introduction to molecular mechanobiology, I will present examples of mechanosensing from the molecular to the cellular scale and how they may be integrated at the cell and tissue levels. An important element of Mechanobiology at the system level is the physiological state of the cell: i.e., the cell in a senescent state, a cancer state, or a normal cell state (Sheetz 2019). The background for the mechanobiological approach is discussed in “The Cell as a Machine” (Sheetz and Yu, Cambridge Univ Press, 2018), which considers cell states and the molecular systems underlying the important cellular functions. A major challenge in mechanobiology is the understanding of the transduction of mechanical activity into changes in cell function. Of particular relevance here is the benefit of exercise to cardiac performance. This has been seen in many cases and there are a variety of factors that contribute. Further, exercise will benefit cancer patients and will reverse some of the adverse effects of aging. Exercise will cause increased cardiac activity that will be sensed by many mechanosensory systems from a molecular to a cellular level both in the heart and in the vasculature. At a molecular level in cardiac systems, proteins are able to measure stress and strain and to generate appropriate signals of the magnitude of stress and strain that can regulate the cellular contractility and other parameters. The protein sensors are generally passive systems that give a transient measure of local parameters such as the stress at cell-cell junctions during contraction and the strain of the sarcomeres during relaxation. Large stresses at the junctions can activate signaling systems that can reduce contractility or over time activate remodeling of the junctions to better support larger stresses. The proteins involved and their sensory mechanisms are not known currently; however, the mechanosensitive channel, Piezo1, has been implicated in the transduction process in the vasculature (Beech 2018). In the case of strain sensors, large stretches of titin during relaxation can unfold more titin domains that can send signals to the cell. Two different mechanisms of strain sensing are likely in titin. The titin kinase domain is activated by strain but the substrates of the kinase are not know in vivo (Linke 2018). In the backbone of titin are many Ig domains that unfold at different forces and unfolding could cause the binding of proteins that would then activate enzymatic pathways to alter the contractile cycle to give the proper level of strain (Ait-Mou et al. 2017; Granzier et al. 2014; Granzier et al. 2009). The cell-matrix adhesion protein, talin, has eleven cryptic binding sites for another adhesion protein, vinculin, that are revealed by the unfolding of domains in the talin molecule (Yao et al. 2016). Since some domains unfold at lower forces than others, small strains will preferentially unfold those domains, making the system an excellent sensor of the extent of stretch as expected for titin. Because there is an ordered array of many titin molecules, the sensing of strain can be very sensitive to small changes in sarcomere length. Needless to say, titin is only one part of the regulatory system that controls sarcomere length. As one goes more deeply into the working of the system, it is evident that many additional mechanosensory elements are involved in maintaining a functioning cardiac system.

2018 ◽  
Author(s):  
Dalit Engelhardt ◽  
Eugene I. Shakhnovich

Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress. Here we investigate the dynamics of resistance fixation in a bacterial population with variable mutation rates and show that evolutionary outcomes are most sensitive to mutation rate variations when the population is subject to environmental and demographic conditions that suppress the evolutionary advantage of high-fitness subpopulations. By directly mapping a molecular-level biophysical fitness function to the system-level dynamics of the population we show that both low and very high, but not intermediate, levels of stress result in a disproportionate effect of hypermutation on resistance fixation and that traditional definitions of the selection coefficient are insufficient to account for this effect. We demonstrate how this behavior is directly tied to the extent of genetic hitchhiking in the system, the propagation of high-mutation rate cells through association with high-fitness mutations. Our results indicate a substantial role for mutation rate flexibility in the evolution of antibiotic resistance under conditions that present a weak advantage over wildtype to resistant cells.


Author(s):  
Sai Moturu

As John Muir noted, “When we try to pick out anything by itself, we find it hitched to everything else in the Universe” (Muir, 1911). In tune with Muir’s elegantly stated notion, research in molecular biology is progressing toward a systems level approach, with a goal of modeling biological systems at the molecular level. To achieve such a lofty goal, the analysis of multiple datasets is required to form a clearer picture of entire biological systems (Figure 1). Traditional molecular biology studies focus on a specific process in a complex biological system. The availability of high-throughput technologies allows us to sample tens of thousands of features of biological samples at the molecular level. Even so, these are limited to one particular view of a biological system governed by complex relationships and feedback mechanisms on a variety of levels. Integrated analysis of varied biological datasets from the genetic, translational, and protein levels promises more accurate and comprehensive results, which help discover concepts that cannot be found through separate, independent analyses. With this article, we attempt to provide a comprehensive review of the existing body of research in this domain.


2020 ◽  
Vol 11 (1) ◽  
pp. 23-31
Author(s):  
Maxwell S. DeNies ◽  
Allen P. Liu ◽  
Santiago Schnell

AbstractThe ability to construct a functional system from its individual components is foundational to understanding how it works. Synthetic biology is a broad field that draws from principles of engineering and computer science to create new biological systems or parts with novel function. While this has drawn well-deserved acclaim within the biotechnology community, application of synthetic biology methodologies to study biological systems has potential to fundamentally change how biomedical research is conducted by providing researchers with improved experimental control. While the concepts behind synthetic biology are not new, we present evidence supporting why the current research environment is conducive for integration of synthetic biology approaches within biomedical research. In this perspective we explore the idea of synthetic biology as a discovery science research tool and provide examples of both top-down and bottom-up approaches that have already been used to answer important physiology questions at both the organismal and molecular level.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e18011-e18011
Author(s):  
Tara L. Kaufmann ◽  
Erin Aakhus ◽  
Andrea Bilger ◽  
Peter Edward Gabriel ◽  
Vivek Nimgaonkar ◽  
...  

e18011 Background: There is a critical need to develop oncology care delivery models that help cancer patients avoid preventable acute hospital care. We are conducting a mixed methods study to assess patient- provider- and system-level factors that drive unplanned acute care utilization in order to implement evidence-based practices (EBPs) at a large health system. Here we present data from patient perspectives on the factors that influence their decision to seek acute care. Methods: We used a purposive sampling approach to identify cancer patients with solid tumors on active treatment with unplanned acute care events at an academic cancer center or its two affiliated community practices from August 2018-January 2019. We conducted semi-structured interviews designed to elicit patient factors that drive unplanned acute care utilization and to understand strategies patients use to manage unexpected symptoms at home. Interviews were analyzed using the constant comparative method to identify key themes. Results: Forty-three patients participated in this study. We identify several patient factors that intersect with the decision to seek care: self-management behaviors, guilt, negative ED perception, safety concerns, and trust. Patients attempt self-management prior to contacting their oncology team, which introduces variability in the duration and severity of reported symptoms. Delay is related to patients’ sense of guilt for burdening their oncology team and to differences in provider accessibility. Patients describe a high symptom threshold to seek care that is often coupled with a negative perception of the ED. However, due to safety concerns, patients do prefer in-person evaluation for new and distressing symptoms. They also express a high level of trust in the oncology team and relative distrust of non-oncology providers. Conclusions: Our data suggest a conceptual model for patient factors that drive unplanned acute care and identify the following targets for implementation of EBPs: 1) symptom management 2) provider accessibility 3) alternate triage pathways for in-person evaluation. Strategies to target these needs should address patients’ emotional concerns and be well integrated within the oncology team.


2014 ◽  
Vol 494-495 ◽  
pp. 651-654
Author(s):  
He Xue ◽  
Jin Tian ◽  
Fu Qiang Yang

Stress and strain at the crack tip are main mechanical parameters which estimate the stress corrosion cracking rate in metals, and the creep of metals in high temperature and high pressure environment will lead to the redistribution of stress and strain nearby the crack tip. The effects of creep on stress and strain nearby the crack tip are discussed by using 1T-CT specimen and finite element method in this study. The investigated results indicate that both increasing of temperature and stress intensity factor would induce the equivalent creep strain increases at the crack tip.


2016 ◽  
Vol 120 (38) ◽  
pp. 21871-21878 ◽  
Author(s):  
Chandan Singh ◽  
Rudra N. Purusottam ◽  
Akhila Viswan ◽  
Neeraj Sinha

2017 ◽  
Vol 3 (s1) ◽  
pp. 47 ◽  
Author(s):  
Lefteris C Zacharia ◽  
Vasiliki Gkretsi

Primary tumors are seldom the cause of death for cancer patients as most patients die from metastatic disease. Thus, deciphering metastatic mechanisms and key molecules involved is of utmost importance for the improved survival of cancer patients. Metastasis is a complex process in which cancer cells dissociate from the original tumor and spread to distant sites of the body. During the metastatic process, cancer cells lose contact both with the extracellular matrix (ECM) and the neighboring cells within the primary tumor, thus invading though surrounding tissues. Therefore, ECM, and ECM-related adhesion proteins play a critical role in the metastatic process. Ras suppressor-1 (RSU-1) was first identified as a suppressor of Ras-dependent oncogenic transformation and is localized to cell-ECM adhesions where it is known to interact with the pro-survival adhesion protein PINCH-1. Although the connection to cancer is obvious, little is known regarding its expression in various cancer types. This opinion piece is focusing on recent literature regarding the expression of RSU-1 in various cancer types and the possible molecular mechanism of its action, pointing towards questions that need still to be addressed in this research field.


2016 ◽  
Vol 685 ◽  
pp. 284-287 ◽  
Author(s):  
Tatyana V. Kolmakova

This article studies the stress and strain state of simulated microvolumes of compact bone tissue under uniaxial compression, having different orientation of collagen-mineral fibers, different porosity and mineral content. The purpose of the study is to work out recommendations on development of artificial mechanically compatible biomaterials for osteoimplants. It has been found out that it is necessary to take into account the effective mechanical parameters defining the distribution of the bone tissue stress and strain when making individual implants.


2017 ◽  
Vol 24 (1) ◽  
pp. 10 ◽  
Author(s):  
S.I.G. Roher ◽  
J. Gibson ◽  
B.E. Gibson ◽  
A.A. Gupta

Despite clinical practice guideline recommendations mandating that fertility preservation be discussed with young cancer patients, many providers fail to initiate such discussions with adolescents. Researchers and clinicians often focus on system-level changes to improve access to fertility preservation for adolescents and young adults in Canada. However, little of the available information considers the way in which health care providers approach those discussions.Research has shown that, even when fertility preservation options are broached with adolescents, survivors often report dissatisfaction with those conversations, thus raising additional concerns about their content and quality. Here, we consider how a narrative approach—and the Frank narrative typology in particular—could improve the quality of such conversations by helping providers to more accurately and thoughtfully respond to the needs of adolescent patients when discussing the possibility of fertility preservation. Based on findings from a qualitative research project, we provide concrete suggestions for how to more sensitively approach fertility preservation conversations with male adolescent cancer patients and survivors.


2011 ◽  
Vol 17 (1) ◽  
pp. 51-67 ◽  
Author(s):  
Bernard Korzeniewski

One of the most characteristic features of spontaneously originating biological systems is that their most fundamental structure and especially functioning is based on molecular-level organization. This property is particularly important when natural living individuals composed of organic compounds of carbon are compared with (hypothetical) artificial living individuals based on metals, plastic, glass, silicon, and so on, whose most basic structural and functional units appear at the supramolecular level. The cybernetic definition of a living individual I proposed previously is used in the present work. I argue that artificial, supramolecular living individuals existing self-dependently in the environment of some distant planet must have the form of dispersed individuals composed of several separate subindividuals that are integrated functionally, but not structurally. These subindividuals would be analogous to such modules of human technical civilization as machines, robots, steelworks, chemical plants, electronic factories, power stations, and mines. Such dispersed individuals would resemble colonies of social insects and moles, which are also composed of separate subindividuals (particular insects and moles) carrying out different specialized functions.


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