Abstract
Age and comorbidities are key indicators of hospital admission, serious illness, and mortality in COVID-19 patients. Patients with age-related comorbidities, such as cardiovascular disease, hypertension, diabetes, chronic kidney disease, NAFLD, obesity, and metabolic syndrome, are more likely to require hospitalization and suffer severe sickness of COVID-19. Patients with Alzheimer’s disease and risk factors associated with dementia may also be more vulnerable to serious COVID-19 infection. Peripheral inflammation, including in patients who recover from illness, may promote the course of neurodegenerative disorders through neuroinflammatory pathways.
The aim of this study is to examine the impact of COVID-19 on immunity in patients with age-related diseases such as metabolic syndrome and Alzheimer’s disease and also to hypothesize the possible correlation between metabolic syndrome, Alzheimer’s disease, and COVID-19. Identifying the mechanisms that explain the complicated interaction between metabolic syndrome, Alzheimer’s disease, COVID-19, inflammation, and immunity could be crucial to designing effective pharmacological therapies and procedures. This study adds to our basic information about the new coronavirus by synthesizing current knowledge of these linkages. To reduce inflammation and enhance immunity, patients should acquire good lifestyle practices. Walking, breathing exercises, and a nutritious diet all help in improving lung capacity and immunity.
Future research into novel therapeutics for patients with metabolic syndrome, Alzheimer’s disease, and COVID-19 inflammation and immunology is encouraged by this paper.
Keywords: Metabolic syndrome , Alzheimer’s disease , COVID-19 , inflammation , immunity , obesity , NAFLD , dementia .
Current Alzheimer Research
Title:Metabolic Syndrome, Alzheimer’s Disease, and Covid 19: A Possible Correlation
Volume: 18 Issue: 12
Author(s): Carmine Finelli*
Affiliation:
- Department of Internal Medicine, ASL Napoli 3 SUD, Napoli, Italy
Keywords: Metabolic syndrome , Alzheimer’s disease , COVID-19 , inflammation , immunity , obesity , NAFLD , dementia .
Abstract:
Age and comorbidities are key indicators of hospital admission, serious illness, and mortality in COVID-19 patients. Patients with age-related comorbidities, such as cardiovascular disease, hypertension, diabetes, chronic kidney disease, NAFLD, obesity, and metabolic syndrome, are more likely to require hospitalization and suffer severe sickness of COVID-19. Patients with Alzheimer’s disease and risk factors associated with dementia may also be more vulnerable to serious COVID-19 infection. Peripheral inflammation, including in patients who recover from illness, may promote the course of neurodegenerative disorders through neuroinflammatory pathways.
The aim of this study is to examine the impact of COVID-19 on immunity in patients with age-related diseases such as metabolic syndrome and Alzheimer’s disease and also to hypothesize the possible correlation between metabolic syndrome, Alzheimer’s disease, and COVID-19. Identifying the mechanisms that explain the complicated interaction between metabolic syndrome, Alzheimer’s disease, COVID-19, inflammation, and immunity could be crucial to designing effective pharmacological therapies and procedures. This study adds to our basic information about the new coronavirus by synthesizing current knowledge of these linkages. To reduce inflammation and enhance immunity, patients should acquire good lifestyle practices. Walking, breathing exercises, and a nutritious diet all help in improving lung capacity and immunity.
Future research into novel therapeutics for patients with metabolic syndrome, Alzheimer’s disease, and COVID-19 inflammation and immunology is encouraged by this paper.
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Cite this article as:
Finelli Carmine *, Metabolic Syndrome, Alzheimer’s Disease, and Covid 19: A Possible Correlation, Current Alzheimer Research 2021; 18 (12) . https://dx.doi.org/10.2174/1567205018666211209095652
DOI https://dx.doi.org/10.2174/1567205018666211209095652 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |

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