Realistic Murine Model for Streptozotocin-induced Diabetic Peripheral Neuropathy
Beverly L. Roeder Ryan Lavering Ryan Wood Whitney Harris Alonzo D. Cook Bryan Witt Greggory Boatright II Jeffrey Brown Kyril Cole Lincoln Kartchner Marissa Campbell Michael Bradshaw Ysabella Del Rosario
Corresponding AuthorAlonzo D. Cook
Neuroscience Center, Brigham Young University, Provo, UT 84602, USA
A B S T R A C T
Diabetic peripheral neuropathy (DPN) is a side effect of diabetes that affects ~4% of the world population. Such a high prevalence mandates appropriate models for studying potential treatments for DPN. This study used a streptozotocin (STZ) induced DPN model in Wistar rats in conjunction with a precise insulin treatment to create a realistic environment for the development and testing of DPN. Four sensory tests: Von Frey force, Von Frey time, Hargreaves method, and digit spread were used to measure neuropathy. Neuropathy was effectively measured with the Hargreaves method, the Von Frey force, and Von Frey time (p < 0.05). Digit spread produced insignificant results. The study described herein is a realistic model for accurately testing DPN in rats treated with insulin. STZinduced diabetic rats may be used to successfully model the progression of diabetic neuropathy in individuals treating their condition with insulin. Three methods traditionally only used in studies mimicking the symptoms of neuropathy were also effective in measuring neuropathy resulting from diabetes.
Article TypeResearch Article
Publication historyReceived: Mon 16, Jul 2018
Accepted: Mon 30, Jul 2018
Published: Mon 20, Aug 2018
Copyright© 2023 Alonzo D. Cook. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.