Mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease

Insulin resistance (IR) is a physiological condition in which cells in the body become resistant to insulin. It is a known risk factor associated to type 2 diabetes (T2D). Recently, the idea that IR plays an important role in the progression of Alzheimer's disease (AD) has been gaining a lot of...

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Main Author: Lao, Angelyn R.
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Published: Animo Repository 2014
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/7441
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-80082022-10-20T06:20:57Z Mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease Lao, Angelyn R. Insulin resistance (IR) is a physiological condition in which cells in the body become resistant to insulin. It is a known risk factor associated to type 2 diabetes (T2D). Recently, the idea that IR plays an important role in the progression of Alzheimer's disease (AD) has been gaining a lot of attention. Comparing the components of the insulin signaling pathway in relation to T2D and AD, there seems to be a lot of commonality. However, on what role IR plays in linking T2D and AD remains unknown. Here, we extended an existing mathematical model (i.e. ODE based) to study and understand the role IR plays in linking T2D and AD. The simulations, together with the experimental data collected from the literature, show that the common components in T2D and AD express the same dynamical behaviors. This result provides the bases for further modelling of insulin signaling pathway in determining the link between T2D and AD. 2014-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/7441 Faculty Research Work Animo Repository Insulin resistance—Mathematical models Type 2 diabetes Alzheimer's disease Mathematics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Insulin resistance—Mathematical models
Type 2 diabetes
Alzheimer's disease
Mathematics
spellingShingle Insulin resistance—Mathematical models
Type 2 diabetes
Alzheimer's disease
Mathematics
Lao, Angelyn R.
Mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease
description Insulin resistance (IR) is a physiological condition in which cells in the body become resistant to insulin. It is a known risk factor associated to type 2 diabetes (T2D). Recently, the idea that IR plays an important role in the progression of Alzheimer's disease (AD) has been gaining a lot of attention. Comparing the components of the insulin signaling pathway in relation to T2D and AD, there seems to be a lot of commonality. However, on what role IR plays in linking T2D and AD remains unknown. Here, we extended an existing mathematical model (i.e. ODE based) to study and understand the role IR plays in linking T2D and AD. The simulations, together with the experimental data collected from the literature, show that the common components in T2D and AD express the same dynamical behaviors. This result provides the bases for further modelling of insulin signaling pathway in determining the link between T2D and AD.
format text
author Lao, Angelyn R.
author_facet Lao, Angelyn R.
author_sort Lao, Angelyn R.
title Mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease
title_short Mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease
title_full Mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease
title_fullStr Mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease
title_full_unstemmed Mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease
title_sort mathematical modelling of insulin resistance linking type 2 diabetes and alzheimer's disease
publisher Animo Repository
publishDate 2014
url https://animorepository.dlsu.edu.ph/faculty_research/7441
_version_ 1767196683047796736