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Examining and elucidation of human weight cycle model adopting e-cell simulation system

Cellular rhythms regulate various physiological functions in circadian oscillatory mechanisms. Weight cycling or ‘yo-yo’ dieting is an evitable process in human, because of subsequent loss and regain of body weight due to irregular diet. Human weight cycle (HWC) is the major factor for causing globa...

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Autores principales: Rajesh, Durairaj, Muthukumar, Subramanian, Siva, Durairaj, Saibaba, Ganesan, Dhanasekaran, Dharumadhurai, Archunan, Govindaraju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546992/
https://www.ncbi.nlm.nih.gov/pubmed/26339149
http://dx.doi.org/10.6026/97320630011336
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author Rajesh, Durairaj
Muthukumar, Subramanian
Siva, Durairaj
Saibaba, Ganesan
Dhanasekaran, Dharumadhurai
Archunan, Govindaraju
author_facet Rajesh, Durairaj
Muthukumar, Subramanian
Siva, Durairaj
Saibaba, Ganesan
Dhanasekaran, Dharumadhurai
Archunan, Govindaraju
author_sort Rajesh, Durairaj
collection PubMed
description Cellular rhythms regulate various physiological functions in circadian oscillatory mechanisms. Weight cycling or ‘yo-yo’ dieting is an evitable process in human, because of subsequent loss and regain of body weight due to irregular diet. Human weight cycle (HWC) is the major factor for causing global epidemic diseases in human beings. Understanding the HWC process would provide potent additional knowledge to prevent obesity. However till date, there is no study dealing with examine the HWC model using virtual cell simulation based on system biological approach. Therefore, the present study was designed to develop a computational HWC model, which was simulated using E-cell system v3.0. The developed model has the cyclic feedback reactions of three significant variables (the consecutive cycles of weight loss in continuous food intake (Q) and regain of body weight (P) at highest threshold point of cognitive restraint (R)) which are obtained by mathematical modelling. The dynamic plot results supported that the PQR variables depicted sustained oscillation with reversible modification due to protein diet. By contrast, the virtual model simulation would provide extensive information on HWC, which might provide knowledge to develop HWC linked with obesity pathway. The presents study concludes that optimization of body weight is essential to prevent the obesity based diseases.
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spelling pubmed-45469922015-09-03 Examining and elucidation of human weight cycle model adopting e-cell simulation system Rajesh, Durairaj Muthukumar, Subramanian Siva, Durairaj Saibaba, Ganesan Dhanasekaran, Dharumadhurai Archunan, Govindaraju Bioinformation Hypothesis Cellular rhythms regulate various physiological functions in circadian oscillatory mechanisms. Weight cycling or ‘yo-yo’ dieting is an evitable process in human, because of subsequent loss and regain of body weight due to irregular diet. Human weight cycle (HWC) is the major factor for causing global epidemic diseases in human beings. Understanding the HWC process would provide potent additional knowledge to prevent obesity. However till date, there is no study dealing with examine the HWC model using virtual cell simulation based on system biological approach. Therefore, the present study was designed to develop a computational HWC model, which was simulated using E-cell system v3.0. The developed model has the cyclic feedback reactions of three significant variables (the consecutive cycles of weight loss in continuous food intake (Q) and regain of body weight (P) at highest threshold point of cognitive restraint (R)) which are obtained by mathematical modelling. The dynamic plot results supported that the PQR variables depicted sustained oscillation with reversible modification due to protein diet. By contrast, the virtual model simulation would provide extensive information on HWC, which might provide knowledge to develop HWC linked with obesity pathway. The presents study concludes that optimization of body weight is essential to prevent the obesity based diseases. Biomedical Informatics 2015-07-31 /pmc/articles/PMC4546992/ /pubmed/26339149 http://dx.doi.org/10.6026/97320630011336 Text en © 2015 Biomedical Informatics This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Hypothesis
Rajesh, Durairaj
Muthukumar, Subramanian
Siva, Durairaj
Saibaba, Ganesan
Dhanasekaran, Dharumadhurai
Archunan, Govindaraju
Examining and elucidation of human weight cycle model adopting e-cell simulation system
title Examining and elucidation of human weight cycle model adopting e-cell simulation system
title_full Examining and elucidation of human weight cycle model adopting e-cell simulation system
title_fullStr Examining and elucidation of human weight cycle model adopting e-cell simulation system
title_full_unstemmed Examining and elucidation of human weight cycle model adopting e-cell simulation system
title_short Examining and elucidation of human weight cycle model adopting e-cell simulation system
title_sort examining and elucidation of human weight cycle model adopting e-cell simulation system
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546992/
https://www.ncbi.nlm.nih.gov/pubmed/26339149
http://dx.doi.org/10.6026/97320630011336
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