Host transcriptional response to SARS-CoV-2 infection in COVID-19 patients

Autor: Thrilok Chander Bingi, Rakesh Mishra, Nikhil Hajirnis, Divya Tej Sowpati, Rajarao Mesipogu, Namami Gaur, Mamilla Soujanya, Shagufta H. Khan, Karthik Bharadwaj Tallapaka, Santosh Kumar, Pratheusa Maccha, Nitesh Kumar Singh, Tulasi Nagabandi, Sakshi Shambhavi, Surabhi Srivastava, Lamuk Zaveri
Rok vydání: 2021
Předmět:
Popis: BackgroundOne of the most perplexing aspects of infection with the SARS-CoV-2 virus has been the variable response elicited in its human hosts. Investigating the transcriptional changes in individuals affected by COVID-19 can help understand and predict the degree of illness and guide clinical outcomes in diverse backgrounds.MethodsAnalysis of host transcriptome variations via RNA sequencing from naso/oropharyngeal swabs of COVID-19 patients.ResultsWe report strong upregulation of the innate immune response, especially type I interferon pathway, upon SARS-CoV-2 infection. Upregulated genes were subjected to a comparative meta-analysis using global datasets to identify a common network of interferon stimulated and viral response genes that mediate the host response and resolution of infection. A large proportion of mis-regulated genes showed a reduction in expression level, suggesting an overall decrease in host mRNA production. Significantly downregulated genes included those encoding olfactory, taste and neuro-sensory receptors. Many pro-inflammatory markers and cytokines were also downregulated or remained unchanged in the COVID-19 patients. Finally, a large number of non-coding RNAs were identified as down-regulated, with a few of the lncRNAs associated with functional roles in directing the response to viral infection.ConclusionsSARS-CoV-2 infection results in the robust activation of the body’s innate immunity. Reduction of gene expression is well correlated with the clinical manifestations and symptoms of COVID-19 such as the loss of smell and taste, and myocardial and neurological complications. This study provides a critical dataset of genes that will enhance our understanding of the nature and prognosis of COVID-19.
Databáze: OpenAIRE