2015
DOI: 10.1152/japplphysiol.01150.2014
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Agent-based computational model investigates muscle-specific responses to disuse-induced atrophy

Abstract: Martin KS, Blemker SS, Peirce SM. Agent-based computational model investigates muscle-specific responses to disuse-induced atrophy. J Appl Physiol 118: 1299 -1309, 2015. First published February 26, 2015 doi:10.1152/japplphysiol.01150.2014.-Skeletal muscle is highly responsive to use. In particular, muscle atrophy attributable to decreased activity is a common problem among the elderly and injured/ immobile. However, each muscle does not respond the same way. We developed an agent-based model that generates a… Show more

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Cited by 33 publications
(27 citation statements)
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“…We tuned the length of time at which high TGF-␤ exposure caused myofibroblast agent differentiation so that myofibroblast agent differentiation did not occur in the healthy muscle, consistent with published observations (14,41). The fibroblast and myofibroblast agents ( Table 2) secreted growth factors and collagen following injury (33,48,59,61,67,78,99,103).…”
Section: Methodssupporting
confidence: 75%
See 1 more Smart Citation
“…We tuned the length of time at which high TGF-␤ exposure caused myofibroblast agent differentiation so that myofibroblast agent differentiation did not occur in the healthy muscle, consistent with published observations (14,41). The fibroblast and myofibroblast agents ( Table 2) secreted growth factors and collagen following injury (33,48,59,61,67,78,99,103).…”
Section: Methodssupporting
confidence: 75%
“…To simulate these behaviors we utilized an agent-based model (ABM). ABMs simulate the actions of autonomous agents to analyze their effects on the system as a whole, providing an ideal platform for studying complex cellular dynamics (8,26,48,68,82,84).…”
Section: Methodsmentioning
confidence: 99%
“…As opposed to the analytical, equation-based approaches, the agent-based approach offers the ability to add complex behaviors to individual components or agents , making modeling of composite networks uncomplicated [8, 15]. In ABM, agent s are used to represent a wide spectrum of entities such as animals in ecosystems [13, 18, 24, 25], consumers and markets in economic models [3, 10, 3639], and cells and proteins in biological systems [9, 11, 12, 17, 2023, 31, 32, 34, 41]. These entities interact among themselves and with their environment (ABM world ) in discrete time steps following a set of stochastic and/or deterministic rules.…”
Section: Introductionmentioning
confidence: 99%
“…This new computational model includes spatial complexity, as seen in Martin et al [2015], and incorporates over 100 rules associated with 7 cell types that all play major roles in the muscle injury response. This work was motivated by the fundamental questions of: (1) what is the role of acute muscle inflammation in the muscle regeneration process, and (2) how does modulation of inflammation affect the fate of the regenerating muscle?…”
Section: Introducing a New Abm Of Inflammation During Muscle Regeneramentioning
confidence: 99%