A Proteomic Review of Factors Related to Neurodegenerative Diseases
Received Date: Mar 01, 2023 / Published Date: Mar 31, 2023
Abstract
The COVID-19 pandemic has killed millions and is a major public health burden worldwide. Previous studies have shown that a large number of his COVID-19 patients and survivors developed neurological symptoms and may be at increased risk for neurodegenerative diseases such as Alzheimer’s disease (AD) and Parkinson’s disease (PD). I know there is. Our aim is to use bioinformatic analyzes to uncover potential mechanisms that may explain the neurological symptoms and brain degeneration seen in COVID-19 patients, and by intervening early, The aim was to investigate common pathways between COVID-19, AD, and PD. In this study, we used the frontal cortex gene expression dataset to detect common differentially expressed genes (DEGs) in COVID-19, AD, and PD. A total of 52 common DEGs were then probed using functional annotation, protein-protein interaction (PPI) construction, drug candidate identification and regulatory network analysis. We found that synaptic vesicle cycle engagement and synaptic downregulation are common to these three diseases, suggesting that synaptic dysfunction may contribute to the development and progression of COVID-19-induced neurodegenerative disease. Five hub genes and one key module were obtained from the PPI network. Additionally, 5 drugs and 42 transcription factors (TFs) were also identified in the dataset. In summary, the results of our study provide new insights and guidance for follow-up studies on the relationship between COVID-19 and neurodegenerative diseases. The hub genes and potential drugs we identified may offer promising therapeutic strategies to prevent COVID-19 patients from developing these diseases.
Citation: Robbie T (2023) A Proteomic Review of Factors Related to Neurodegenerative Diseases. Neurol Clin Therapeut J 7: 135.
Copyright: © 2023 Robbie T. 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.
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