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Title: | Measuring β-cell function in vivo to understand the pathophysiology of type 2 diabetes |
Authors: | Farrugia, Luca P. Vella, Adrian |
Keywords: | Insulin -- Secretion Insulin action Physiology, Pathological Diabetes Diabetes Mellitus |
Issue Date: | 2014 |
Publisher: | Malta Chamber of Scientists |
Citation: | Xjenza. 2014, Vol.2(2), p. 144-150 |
Abstract: | Diabetes arises when insulin secretion is inadequate for the prevailing metabolic conditions. As such appropriate measurement of β-cell function is necessary for a better understanding of the pathophysiology of prediabetes and diabetes. Unfortunately this is not a straightforward process and requires utilization of mathematical modelling to best appreciate its complexities. This is because insulin concentrations in the plasma represent a balance between the processes of secretion, hepatic extraction and clearance. In isolation such simple measures reveal very little about β-cell function. Moreover, since insulin lowers glucose accounting for the effect of the former on the latter it is a key part of understanding insulin action. The development of the minimal model has allowed simultaneous measurement of the dynamic relationship between insulin secretion and insulin action and produces a quantitative number – the Disposition Index – which quantifies β-cell function. At present this remains the best functional measure of islet health, however, it may not capture other phenotypes such as β-cell senescence or the effect of incretin hormones on β-cell function. Future ongoing development and interaction with other technologies, such as functional imaging, should enhance the contribution of this functional testing to the prevention, treatment and understanding of type 2 diabetes. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/2352 |
Appears in Collections: | Xjenza, 2014, Volume 2, Issue 2 Xjenza, 2014, Volume 2, Issue 2 |
Files in This Item:
File | Description | Size | Format | |
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Measuring B cell function in vivo to understand the pathophysiology.pdf | 710.89 kB | Adobe PDF | View/Open |
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