4.7 Article

The SARS-CoV-2 targeted human RNA binding proteins network biology to investigate COVID-19 associated manifestations

Journal

INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
Volume 217, Issue -, Pages 853-863

Publisher

ELSEVIER
DOI: 10.1016/j.ijbiomac.2022.07.200

Keywords

COVID-19; Neurodegeneration; Cancer; RNA binding proteins; Network; miRNAs

Funding

  1. Indian Council of Medical Research (ICMR) New Delhi, India [BMI/11 (63) /2020]

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This study used a network-based systems biology approach to investigate the molecular interactions of RNA binding proteins (RBPs) between COVID-19, human cancers, and neurological disorders. The findings highlight the comorbidities and complexity of COVID-19 and suggest drug repurposing as a strategy to improve clinical conditions associated with COVID-19.
The global coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-CoV-2 virus has had unprecedented social and economic ramifications. Identifying targets for drug repurposing could be an effective means to present new and fast treatments. Furthermore, the risk of morbidity and mortality from COVID-19 goes up when there are coexisting medical conditions, however, the underlying mechanisms remain unclear. In the current study, we have adopted a network-based systems biology approach to investigate the RNA binding proteins (RBPs)-based molecular interplay between COVID-19, various human cancers, and neurological disorders. The network based on RBPs commonly involved in the three disease conditions consisted of nine RBPs connecting 10 different cancer types, 22 brain disorders, and COVID-19 infection, ultimately hinting at the comorbidities and complexity of COVID-19. Further, we underscored five miRNAs with reported antiviral properties that target all of the nine shared RBPs and are thus therapeutically valuable. As a strategy to improve the clinical conditions in comorbidities associated with COVID-19, we propose perturbing the shared RBPs by drug repurposing. The network-based analysis presented hereby contributes to a better knowledge of the molecular underpinnings of the comorbidities associated with COVID-19.

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