Examining the Shared Attributes of Diabetes Mellitus and Parkinson's Disease: A Literature Review

Abstract

There is a progressive disorder of the brain in Parkinson's Disease (PD), and there seems to be an association, although less clearly defined, with Type 2 Diabetes Mellitus (T2D). There is now mounting evidence that the critical mechanisms common to both diseases include insulin resistance and dysfunction of mitochondria, oxidative stress and chronic inflammation. These can be implied to play a role in the pathogenesis of neuronal damage in PD, particularly dopaminergic neurons. Such convergent biological mechanisms will be used in this study to create predictive models of Parkinson's disease using machine learning approaches. For instance, this model will focus on markers such as insulin resistance, mitochondrial function, levels of oxidative stress, and inflammation, among others, while calculating the likelihood of Parkinson's. It will classify those at higher risk of neurodegeneration by using clinical data-blood sugar levels, insulin sensitivity, inflammatory protein profiles, oxidative stress markers.