Modeling long-term diabetes and related complications in rats

Research paper on diabetes mellitus, Modeling long-term diabetes and related complications in rats

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    Skip to Main Content Discrete LPV Modeling of Diabetes Mellitus for Control Purposes Abstract: The utilization of modern and advanced control engineering related methods for the control, estimation and assessment of physiological applications is widespread. It is also well-known that this engineering apparatus is executed on digital computers. The current insufficiency of available and accurate discretized models, especially in case of Diabetes Mellitus DMprovides incentive for this research. The researchers typically approximate the continuous solutions which may not be the best alternative in many cases, in particular considering numerical stability and cost-effectiveness. In this paper we performed an analysis of the available discretization options in order to develop discrete models with a special focus on the Linear Parameter Varying LPV systems.

    Modeling long-term diabetes and related complications in rats J Pharmacol Toxicol Methods. Mar-Apr ; Epub Nov Gyömrői út Electronic address: erika.

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    DOI: The aims of this study were to establish a model of long-term diabetes with sustained medium scale hyperglycemia and characterize the pathological changes detectable after 4months, with particular respect to dependence on the degree of hyperglycemia.

    Methods: Streptozotocin-induced diabetic CFY rats were subjected to four different insulin substitution protocols to achieve different levels of glycemic control Diabetic groups.

    Eyes were investigated by ophthalmoscopy, kidney function by urine analysis, and neuropathy by functional tests. Retinal and renal morphological evaluations were performed by histology, immuno-histochemistry and electron microscopy. Discussion: We established a treatment protocol in rats enabling complex investigation of diabetic retinopathy, nephropathy and neuropathy on a long-term period.

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    Clearly hyperglycemic dependent parameters of these complications serve as good outcome measures for preclinical trials. Our results provide a useful basis for designing studies for testing preventative treatments as well as other translational medical research in this field.

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    Keywords: Anterior segment neovascularization; Chronic model; Cold allodynia; Diabetic nephropathy; Diabetic neuropathy; Diabetic retinopathy; Drug development; Insulin implant; Preclinical model; Streptozotocin. Copyright © Elsevier Inc. All rights reserved. Publication types.