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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...

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Autores principales: Prasad, Kartikay, AlOmar, Suliman Yousef, Alqahtani, Saeed Awad M., Malik, Md. Zubbair, Kumar, Vijay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
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.
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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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