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Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19
Although COVID-19 largely causes respiratory complications, it can also lead to various extrapulmonary manifestations resulting in higher mortality and these comorbidities are posing a challenge to the health care system. Reports indicate that 30–60% of patients with COVID-19 suffer from neurologica...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787249/ https://www.ncbi.nlm.nih.gov/pubmed/33409839 http://dx.doi.org/10.1007/s12035-020-02266-w |
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author | Prasad, Kartikay AlOmar, Suliman Yousef Alqahtani, Saeed Awad M. Malik, Md. Zubbair Kumar, Vijay |
author_facet | Prasad, Kartikay AlOmar, Suliman Yousef Alqahtani, Saeed Awad M. Malik, Md. Zubbair Kumar, Vijay |
author_sort | Prasad, Kartikay |
collection | PubMed |
description | Although COVID-19 largely causes respiratory complications, it can also lead to various extrapulmonary manifestations resulting in higher mortality and these comorbidities are posing a challenge to the health care system. Reports indicate that 30–60% of patients with COVID-19 suffer from neurological symptoms. To understand the molecular basis of the neurologic comorbidity in COVID-19 patients, we have investigated the genetic association between COVID-19 and various brain disorders through a systems biology-based network approach and observed a remarkable resemblance. Our results showed 123 brain-related disorders associated with COVID-19 and form a high-density disease-disease network. The brain-disease-gene network revealed five highly clustered modules demonstrating a greater complexity of COVID-19 infection. Moreover, we have identified 35 hub proteins of the network which were largely involved in the protein catabolic process, cell cycle, RNA metabolic process, and nuclear transport. Perturbing these hub proteins by drug repurposing will improve the clinical conditions in comorbidity. In the near future, we assumed that in COVID-19 patients, many other neurological manifestations will likely surface. Thus, understanding the infection mechanisms of SARS-CoV-2 and associated comorbidity is a high priority to contain its short- and long-term effects on human health. Our network-based analysis strengthens the understanding of the molecular basis of the neurological manifestations observed in COVID-19 and also suggests drug for repurposing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12035-020-02266-w. |
format | Online Article Text |
id | pubmed-7787249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-77872492021-01-07 Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19 Prasad, Kartikay AlOmar, Suliman Yousef Alqahtani, Saeed Awad M. Malik, Md. Zubbair Kumar, Vijay Mol Neurobiol Original Article Although COVID-19 largely causes respiratory complications, it can also lead to various extrapulmonary manifestations resulting in higher mortality and these comorbidities are posing a challenge to the health care system. Reports indicate that 30–60% of patients with COVID-19 suffer from neurological symptoms. To understand the molecular basis of the neurologic comorbidity in COVID-19 patients, we have investigated the genetic association between COVID-19 and various brain disorders through a systems biology-based network approach and observed a remarkable resemblance. Our results showed 123 brain-related disorders associated with COVID-19 and form a high-density disease-disease network. The brain-disease-gene network revealed five highly clustered modules demonstrating a greater complexity of COVID-19 infection. Moreover, we have identified 35 hub proteins of the network which were largely involved in the protein catabolic process, cell cycle, RNA metabolic process, and nuclear transport. Perturbing these hub proteins by drug repurposing will improve the clinical conditions in comorbidity. In the near future, we assumed that in COVID-19 patients, many other neurological manifestations will likely surface. Thus, understanding the infection mechanisms of SARS-CoV-2 and associated comorbidity is a high priority to contain its short- and long-term effects on human health. Our network-based analysis strengthens the understanding of the molecular basis of the neurological manifestations observed in COVID-19 and also suggests drug for repurposing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12035-020-02266-w. Springer US 2021-01-06 2021 /pmc/articles/PMC7787249/ /pubmed/33409839 http://dx.doi.org/10.1007/s12035-020-02266-w Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Prasad, Kartikay AlOmar, Suliman Yousef Alqahtani, Saeed Awad M. Malik, Md. Zubbair Kumar, Vijay Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19 |
title | Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19 |
title_full | Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19 |
title_fullStr | Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19 |
title_full_unstemmed | Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19 |
title_short | Brain Disease Network Analysis to Elucidate the Neurological Manifestations of COVID-19 |
title_sort | brain disease network analysis to elucidate the neurological manifestations of covid-19 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787249/ https://www.ncbi.nlm.nih.gov/pubmed/33409839 http://dx.doi.org/10.1007/s12035-020-02266-w |
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