Author: | Du, Yi |
Title: | Effects of high fat diet on the mouse model of pancreatic islet β cells specific knockout of Scnn1α. |
Advisors: | Ruan, Y. C. Sharon (BME) |
Degree: | M.Sc. |
Year: | 2024 |
Subject: | Diabetes -- Animal models Pancreatic beta cells Diabetes -- Treatment Hong Kong Polytechnic University -- Dissertations |
Department: | Department of Biomedical Engineering |
Pages: | 46 pages : color illustrations |
Language: | English |
Abstract: | The prevalence of obesity worldwide is closely related to the rapid growth of diabetes. Statistics show that by 2045, the number of diabetes patients will exceed 7 million(Mann et al., 2023). At present, the most important way to treat diabetes is to inject insulin through subcutaneous injection, but glucose metabolism is very complicated in the body, and the pathogenesis of diabetes is also diverse, so no single treatment will fundamentally alleviate the diabetes pandemic. Diabetes always associates with cardiovascular and kidney disease which caused by salt-water balance. ENaC is a kind of Na+ channel, which has a strong correlation with diabetes related genes such as GIPR, and has a strong influence on salt water hemoestasis in the body. Therefore, we wanted to investigate whether ENaC has a direct effect on the function of pancreatic islet β cells in obesity induced diabetes. Here we established a mouse model of obesity induced diabetes by high fat diet (HFD) and specifically knockout the Scnn1α gene to investigate the potential function. On this basis, glucose tolerance test, plasma insulin level and morphological change of pancreatic islet β cells in mice were compared and analyzed. The results show that the knockout of Scnn1α can help male mice resist the damage of pancreatic islet β cell function caused by diabetes in HFD condition. |
Rights: | All rights reserved |
Access: | restricted access |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
7412.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 5.66 MB | Adobe PDF | View/Open |
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