An Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors

Insulin is a hormone that regulates blood glucose levels. Its deficiency or over secretioncause many disorders including polyurea, polydipsia, and weight loss in metabolism.Publications to date show strict relationships between insulin level and number of insulinreceptors in a cell. In this respect...

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Autores principales:	Cagin Kandemir-Cavas, Levent Cavas
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2007
Materias:	Arrival rate insulin number of insulin receptors queuein service rate human metabolism. Biochemistry QD415-436
Acceso en línea:	https://doaj.org/article/9484345bdee244a6ad66f023c5ecf712
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spelling	oai:doaj.org-article:9484345bdee244a6ad66f023c5ecf7122021-12-02T10:51:06ZAn Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors0250-46851303-829Xhttps://doaj.org/article/9484345bdee244a6ad66f023c5ecf7122007-05-01T00:00:00Zhttp://www.turkjbiochem.com/2007/032.pdfhttps://doaj.org/toc/0250-4685https://doaj.org/toc/1303-829XInsulin is a hormone that regulates blood glucose levels. Its deficiency or over secretioncause many disorders including polyurea, polydipsia, and weight loss in metabolism.Publications to date show strict relationships between insulin level and number of insulinreceptors in a cell. In this respect a mathematical estimation on insulin level andnumber of insulin receptors may be important in order to understand some diseasesrelated to insulin level and number of insulin receptors. In the present study, a queueingtheory originated model is applied to insulin level and number of insulin receptors.Based on real data, some parameters such as optimum insulin level, number of insulinreceptor and minimum required energy spent were calculated by using queueing theory.Our results show an indirect correlation between insulin level and receptor. The totalenergy spent is also decreased up to optimum number of insulin receptors and then itis increased. From the results, it could be said that queuing theory predicts the optimalnumber of insulin receptors. In conclusion, the data reveals that queueing theory canbe applied to insulin level and number of insulin receptors. Estimation of insulin levelsin insulin-insulin receptor complex and number of insulin receptors obtained throughqueueing analysis may identify etiological origins of some insulin-based metabolic disorders.Cagin Kandemir-CavasLevent CavasDe GruyterarticleArrival rateinsulinnumber of insulin receptorsqueueinservice ratehuman metabolism.BiochemistryQD415-436ENTürk Biyokimya Dergisi, Vol 32, Iss 1, Pp 32-38 (2007)
institution	DOAJ
collection	DOAJ
language	EN
topic	Arrival rate insulin number of insulin receptors queuein service rate human metabolism. Biochemistry QD415-436
spellingShingle	Arrival rate insulin number of insulin receptors queuein service rate human metabolism. Biochemistry QD415-436 Cagin Kandemir-Cavas Levent Cavas An Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors
description	Insulin is a hormone that regulates blood glucose levels. Its deficiency or over secretioncause many disorders including polyurea, polydipsia, and weight loss in metabolism.Publications to date show strict relationships between insulin level and number of insulinreceptors in a cell. In this respect a mathematical estimation on insulin level andnumber of insulin receptors may be important in order to understand some diseasesrelated to insulin level and number of insulin receptors. In the present study, a queueingtheory originated model is applied to insulin level and number of insulin receptors.Based on real data, some parameters such as optimum insulin level, number of insulinreceptor and minimum required energy spent were calculated by using queueing theory.Our results show an indirect correlation between insulin level and receptor. The totalenergy spent is also decreased up to optimum number of insulin receptors and then itis increased. From the results, it could be said that queuing theory predicts the optimalnumber of insulin receptors. In conclusion, the data reveals that queueing theory canbe applied to insulin level and number of insulin receptors. Estimation of insulin levelsin insulin-insulin receptor complex and number of insulin receptors obtained throughqueueing analysis may identify etiological origins of some insulin-based metabolic disorders.
format	article
author	Cagin Kandemir-Cavas Levent Cavas
author_facet	Cagin Kandemir-Cavas Levent Cavas
author_sort	Cagin Kandemir-Cavas
title	An Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors
title_short	An Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors
title_full	An Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors
title_fullStr	An Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors
title_full_unstemmed	An Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors
title_sort	application of queueing theory to the relationship between insulin level and number of insulin receptors
publisher	De Gruyter
publishDate	2007
url	https://doaj.org/article/9484345bdee244a6ad66f023c5ecf712
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An Application of Queueing Theory to the Relationship Between Insulin Level and Number of Insulin Receptors

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