Cellular and Extracellular Homeostasis in Fluctuating Mechanical Environments

Suki, Bélâ; Parameswaran, Harikrishnan; Alves, Calebe; Araújo, Ascânio D.; Bartolák‐Suki, Erzsébet

doi:10.1007/978-3-030-20182-1_4

Cited by 5 publications

(4 citation statements)

References 164 publications

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“…Finally, the stability of the fixed point guarantees that reparative processes asymptotically approach zero as the system approaches its baseline equilibrium state. Of course, homeostasis in a real biological system is characterized by fluctuations within a local region of state space ( Suki et al, 2020 ), so the single fixed point in our model corresponds to being within this region. Therefore, within the limitations imposed by its extreme simplicity, the dynamical system described by Eqs 6 and 7 displays the key features of self-healing.…”

Section: Discussionmentioning

confidence: 99%

An Analytic Model of Tissue Self-Healing and Its Network Implementation: Application to Fibrosis and Aging

2020

Self Cite

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Here we present a model capable of self-healing and explore its ability to resolve pathological alterations in biological tissue. We derive a simple analytic model consisting of an agent representing a cell that exhibits anabolic or catabolic activity, and which interacts with its tissue substrate according to tissue stiffness. When perturbed, this system returns toward a stable fixed point, a process corresponding to self-healing. We implemented this agent-substrate mechanism numerically on a hexagonal elastic network representing biological tissue. Agents, representing fibroblasts, were placed on the network and allowed to migrate around while they remodeled the network elements according to their activity which was determined by the stiffnesses of network elements that each agent encountered during its random walk. Initial injury to the network was simulated by increasing the stiffness of a single central network element above baseline. This system also exhibits a fixed point represented by the uniform baseline state. During the approach to the fixed point, interactions between the agents and the network create a transient spatially extended halo of stiffer network elements around the site of initial injury, which aids in overall injury repair. Non-equilibrium constraints generated by persistent injury prohibit the network to return to baseline and results in progressive stiffening, mimicking the development of fibrosis. Additionally, reducing anabolic or catabolic rates delay self-healing, reminiscent of aging. Our model thus embodies what may be the simplest set of attributes required of a spatiotemporal self-healing system, and so may help understand altered self-healing in chronic fibrotic diseases and aging.

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Section: Discussionmentioning

confidence: 99%

An Analytic Model of Tissue Self-Healing and Its Network Implementation: Application to Fibrosis and Aging

2020

Self Cite

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“…Therefore, fluctuations in mechanical stimulation are likely to influence mechanotransduction. This unique mechanism is called fluctuation-driven mechano-transduction (FDM) [ 165 ]. It is reasonable that FDM was incorporated into all mechanosensitive cellular processes during evolution.…”

Section: Mitochondria At the Crossroad Of Biomechanics And Bioenergeticsmentioning

confidence: 99%

Mitochondrial Dynamics: Working with the Cytoskeleton and Intracellular Organelles to Mediate Mechanotransduction

et al. 2023

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Cells are constantly exposed to various mechanical environments; therefore, it is important that they are able to sense and adapt to changes. It is known that the cytoskeleton plays a critical role in mediating and generating extra-and intracellular forces and that mitochondrial dynamics are crucial for maintaining energy homeostasis. Nevertheless, the mechanisms by which cells integrate mechanosensing, mechanotransduction, and metabolic reprogramming remain poorly understood. In this review, we first discuss the interaction between mitochondrial dynamics and cytoskeletal components, followed by the annotation of membranous organelles intimately related to mitochondrial dynamic events. Finally, we discuss the evidence supporting the participation of mitochondria in mechanotransduction and corresponding alterations in cellular energy conditions. Notable advances in bioenergetics and biomechanics suggest that the mechanotransduction system composed of mitochondria, the cytoskeletal system, and membranous organelles is regulated through mitochondrial dynamics, which may be a promising target for further investigation and precision therapies.

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“…The sonication wave either directly changes the permeability of ion channels within neuronal membranes, such as voltage-gated sodium, calcium and potassium channels (e.g., K2P, TRP and Piezo1), or it temporary mechanically alters the cell membrane properties. Several mechanisms have been proposed including changes in membrane turgidity, in the dynamics of lipid microdomains or in the formation of microbubbles within the lipid bilayer (Anishkin et al, 2014; Babakhanian et al, 2018; Petersen et al, 2016; Suki et al, 2020; Tyler, 2011). TUS also impacts on the coupling between neurons and glial cells (Oh et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Neuromodulation with Ultrasound: Hypotheses on the Directionality of Effects and a Community Resource

Caffaratti,

Slater,

Shaheen

et al. 2024

Preprint

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Low-intensity Transcranial Ultrasound Stimulation (TUS) is a promising non-invasive technique for deep-brain stimulation and focal neuromodulation. Research with animal models and computational modelling has raised the possibility that TUS can be biased towards enhancing or suppressing neural function. Here, we first conduct a systematic review of human TUS studies for perturbing neural function and alleviating brain disorders. We then collate a set of hypotheses on the directionality of TUS effects and conduct an initial meta-analysis on the human TUS study reported outcomes to date (n =32 studies, 37 experiments). We find that parameters such as the duty cycle show some predictability regarding whether the targeted area’s function is likely to be enhanced or suppressed. Given that human TUS sample sizes are exponentially increasing, we recognize that results can stabilize or change as further studies are reported. Therefore, we conclude by establishing an Iowa-Newcastle (inTUS) resource for the systematic reporting of TUS parameters and outcomes to support further hypothesis testing for greater precision in brain stimulation and neuromodulation with TUS.HighlightsSystematic review of human TUS studies for enhancing or suppressing neural functionCollated set of hypotheses on using TUS to bias towards enhancement or suppressionMeta-analysis results identify parameters that may bias the directionality of effectsTUS resource established for systematic reporting of TUS parameters and outcomes

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Cellular and Extracellular Homeostasis in Fluctuating Mechanical Environments

Cited by 5 publications

References 164 publications

An Analytic Model of Tissue Self-Healing and Its Network Implementation: Application to Fibrosis and Aging

An Analytic Model of Tissue Self-Healing and Its Network Implementation: Application to Fibrosis and Aging

Mitochondrial Dynamics: Working with the Cytoskeleton and Intracellular Organelles to Mediate Mechanotransduction

Neuromodulation with Ultrasound: Hypotheses on the Directionality of Effects and a Community Resource

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