Inhibitory mechanism of clioquinol and its derivatives at the exopeptidase site of human angiotensin-converting enzyme-2 and receptor binding domain of SARS-CoV-2 viral spike

Bioinformatics and systems-biology analysis to determine the effects of Coronavirus disease 2019 on patients with allergic asthma

Background

The coronavirus disease (COVID-19) pandemic has posed a significant challenge for global health systems. Increasing evidence shows that asthma phenotypes and comorbidities are major risk factors for COVID-19 symptom severity. However, the molecular mechanisms underlying the association between COVID-19 and asthma are poorly understood. Therefore, we conducted bioinformatics and systems biology analysis to identify common pathways and molecular biomarkers in patients with COVID-19 and asthma, as well as potential molecular mechanisms and candidate drugs for treating patients with both COVID-19 and asthma.

Methods

Two sets of differentially expressed genes (DEGs) from the GSE171110 and GSE143192 datasets were intersected to identify common hub genes, shared pathways, and candidate drugs. In addition, murine models were utilized to explore the expression levels and associations of the hub genes in asthma and lung inflammation/injury.

Results

We discovered 157 common DEGs between the asthma and COVID-19 datasets. A protein–protein-interaction network was built using various combinatorial statistical approaches and bioinformatics tools, which revealed several hub genes and critical modules. Six of the hub genes were markedly elevated in murine asthmatic lungs and were positively associated with IL-5, IL-13 and MUC5AC, which are the key mediators of allergic asthma. Gene Ontology and pathway analysis revealed common associations between asthma and COVID-19 progression. Finally, we identified transcription factor–gene interactions, DEG–microRNA coregulatory networks, and potential drug and chemical-compound interactions using the hub genes.

Conclusion

We identified the top 15 hub genes that can be used as novel biomarkers of COVID-19 and asthma and discovered several promising candidate drugs that might be helpful for treating patients with COVID-19 and asthma.

A computational evaluation of structural stability of omicron and delta mutations of SARS-CoV-2 spike proteins and human ACE-2 interactions

Several more infectious SARS-CoV-2 variants have emerged globally since SARS-CoV-2 pandemic and the discovery of the first D614G variant of SARS-CoV-2 spike proteins in 2020. Delta (B.1.617.2) and Omicron (B.1.1.529) variants have proven to be of major concern out of all the reported variants, considering their influence on the virus' transmissibility and severity. This study aimed at evaluating the impact of mutations on these two variants on stability and molecular interactions between the viral Spike protein and human angiotensin converting enzyme-2 (hACE-2). The spike proteins receptor binding domain (RBD) was docked with the hACE-2 using HADDOCK servers. To understand and establish the effects of the mutations on the structural stability and flexibility of the RBD-hACE-2 complex, molecular dynamic (MD) simulation of the docked complex was performed and evaluated. The findings from both molecular docking analysis and binding free energy showed that the Omicron (OM) variant has high receptiveness towards hACE-2 versus Delta variant (DT), thereby, responsible for its increase in transmission. The structural stability and flexibility evaluation of variants' systems showed that mutations on DT and OM variants disturbed the stability of either the spike protein or the RBD-hACE-2 complex, with DT variant having greater instability impact. This study, therefore, assumed this obvious instability observed in DT variant might be associated or responsible for the reported severity in DT variant disease over the OM variant disease. This study provides molecular insight into the effects of OM and DT variants on stability and interactions between SARS-CoV-2 protein and hACE-2.