In Silico transcriptional analysis of asymptomatic and severe COVID-19 patients reveals the susceptibility of severe patients to other comorbidities and non-viral pathological conditions
Abstract
COVID-19 is a severe respiratory disease caused by SARS-CoV-2, a novel human coronavirus. The host response to SARS-CoV-2 infection is not clearly understood. Patients infected with SARS-CoV-2 exhibit heterogeneous intensity of symptoms, i.e., asymptomatic, mild, and severe. Moreover, effects on organs also vary from person to person. These heterogeneous responses pose pragmatic hurdles for implementing appropriate therapy and management of COVID-19 patients. Post-COVID complications pose another major challenge in managing the health of these patients. Thus, understanding the impact of disease severity at the molecular level is vital to delineate the precise host response and management. In the current study, we performed a comprehensive transcriptomics analysis of publicly available seven asymptomatic and eight severe COVID-19 patients. Exploratory data analysis using Principal Component Analysis (PCA) showed the distinct clusters of asymptomatic and severe patients. Subsequently, the differential gene expression analysis using DESeq2 identified 1,224 significantly upregulated genes (logFC>= 1.5, p-adjusted value <0.05) and 268 significantly downregulated genes (logFC<= -1.5, p-adjusted value <0.05) in severe samples in comparison to asymptomatic samples. Eventually, Gene Set Enrichment Analysis (GSEA) of upregulated genes revealed significant enrichment of terms, i.e., anti-viral and anti-inflammatory pathways, secondary infections, Iron homeostasis, anemia, cardiac-related, etc. Gene set enrichment analysis of downregulated genes indicates lipid metabolism, adaptive immune response, translation, recurrent respiratory infections, heme-biosynthetic pathways, etc. In summary, severe COVID-19 patients are more susceptible to other health issues/concerns, non-viral pathogenic infections, atherosclerosis, autoinflammatory diseases, anemia, male infertility, etc. And eventually, these findings provide insight into the precise therapeutic management of severe COVID-19 patients and efficient disease management.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 7
- FWCI
- 0.74
- Field percentile
- top 28%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Immune transcriptomic differences in paediatric patients with SARS-CoV-2 compared to other lower respiratory tract infections
Negusse Tadesse Kitaba, Lesley Workman, … Heather Joy Zar·BMC Infectious DiseasesPeer-reviewed·Oct 1, 2026
- Analysis of Genetic Host Response Risk Factors in Severe COVID-19 Patients
Krystyna Taylor, Sayoni Das, … Steve Gardner·medRxiv·Jun 17, 2020
- Host transcriptional response to SARS-CoV-2 infection in COVID-19 patients
Nitesh Kumar Singh, Surabhi Srivastava, … Divya Tej Sowpati·Clinical and Translational MedicinePeer-reviewed·Sep 1, 2021
- Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19
Sudhir K. Ghandikota, Mihika Sharma, Anil Goud Jegga·PatternsPeer-reviewed·Apr 5, 2021
- Comprehensive Transcriptomic Analysis of COVID-19 Blood, Lung, and Airway
A. R. Daamen, P. Bachali, … P. E. Lipsky·bioRxiv·May 28, 2020
- Investigation of COVID-19 comorbidities reveals genes and pathways coincident with the SARS-CoV-2 viral disease
Mary Eileen Dolan, David P. Hill, … Judith A. Blake·Scientific ReportsPeer-reviewed·Nov 30, 2020