How does exercise affect energy metabolism? An in silico approach for cardiac muscle
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Date
2023
Authors
Bahar H. Yalçınkaya
Seda Genc
Bayram Yilmaz
Mustafa Özilgen
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Ltd
Open Access Color
GOLD
Green Open Access
Yes
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Publicly Funded
No
Abstract
We explored an in silico model of muscle energy metabolism and demonstrated its theoretical plausibility. Results indicate that energy metabolism triggered by activation can capture the muscle condition rest or exercise and can respond accordingly adjusting the rates of their respiration and energy utilization for efficient use of the nutrients. Our study demonstrated during exercise higher respiratory activity causes a substantial increase in exergy release with an increase in exergy destruction and entropy generation rate. The thermodynamic analysis showed that at the resting state when the exergy destruction rate was 0.66 W/kg and the respiratory metabolism energetic efficiency was 36% and exergetic efficiency was 32%, whereas when the exergy destroyed was 1.24 W/kg the energetic efficiency was 58% and exergetic efficiency was 50% during exercise. The efficiency results suggest the ability of the system to regulate itself in response to higher work demand and become more efficient in terms of converting energy coming from nutrients to useable energy when the circulating medium has sufficient energy precursor. © 2023 Elsevier B.V. All rights reserved.
Description
Keywords
Entropy Generation, Exergy Destruction, Kinetic And Thermodynamic Analyses, Mitochondrial Bioenergetics, Muscle Work Performance Efficiency, Social sciences (General), H1-99, Q1-390, Science (General), Muscle work performance efficiency, Exergy destruction, Kinetic and thermodynamic analyses, Mitochondrial bioenergetics, Entropy generation, Research Article
Fields of Science
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WoS Q
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OpenCitations Citation Count
4
Source
Heliyon
Volume
9
Issue
Start Page
e17164
End Page
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Citations
CrossRef : 4
Scopus : 4
PubMed : 3
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Mendeley Readers : 13
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