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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
Host-Viral Interactions Revealed among Shared Transcriptomics Signatures of ARDS and Thrombosis: A Clue into COVID-19
Aastha Mishra1, Shankar Chanchal1, Mohammad Z Ashraf1
1Department of Biotechnology, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.
Insights
This study reveals shared biological mechanisms between acute respiratory distress syndrome (ARDS) and thrombosis in COVID-19 patients. Findings highlight inflammation-coagulation-hypoxemia pathways and identify key genes involved in host-virus interactions for potential therapeutic targets.
Area of Science:
- Genomics
- Molecular Biology
- Infectious Diseases
Background:
- Severe COVID-19 is linked to coagulation activation, endothelial damage, and thrombotic microvascular injuries.
- Cytokine storms and sepsis contribute to acute respiratory distress syndrome (ARDS), potentially exacerbated by lung coagulation factor accumulation in COVID-19 patients.
- Understanding shared mechanisms between ARDS and thrombosis is crucial for effective COVID-19 management.
Purpose of the Study:
- To characterize shared biological mechanisms between ARDS and thrombosis in COVID-19.
- To identify differentially expressed genes (DEGs) and key pathways involved in COVID-19 pathogenesis using transcriptomics meta-analysis.
- To uncover potential therapeutic targets by analyzing hub genes in host-virus interactions.
Main Methods:
- Integrated gene expression meta-analysis of publicly available ARDS (GSE76293) and venous thromboembolism (VTE, GSE19151) datasets.
- Utilized the Integrative Meta-analysis of Expression Data (INMEX) tool for data preprocessing and random effect modeling to identify DEGs.
- Performed network construction for hub genes and pathway enrichment analysis.
Main Results:
- Identified 1,878 significant DEGs between ARDS and VTE datasets.
- Enrichment analysis indicated a strong link between inflammation, coagulation, and hypoxemia in COVID-19 pathogenesis.
- Identified key hub genes including TP53, KAT2B, DHX9, RELA, RBX1, and PSMB2 involved in host-virus interactions.
Conclusions:
- The study elucidates the complex interplay of inflammation, coagulation, and hypoxemia in severe COVID-19.
- Identified hub genes provide insights into viral replication strategies and host responses.
- Findings may inform the development of targeted therapeutic strategies for COVID-19, ARDS, and thrombosis.
Abstract:
Severe novel corona virus disease 2019 (COVID-19) infection is associated with a considerable activation of coagulation pathways, endothelial damage, and subsequent thrombotic microvascular injuries. These consistent observations may have serious implications for the treatment and management of this highly pathogenic disease. As a consequence, the anticoagulant therapeutic strategies, such as low molecular weight heparin, have shown some encouraging results. Cytokine burst leading to sepsis which is one of the primary reasons for acute respiratory distress syndrome (ARDS) drive that could be worsened with the accumulation of coagulation factors in the lungs of COVID-19 patients. However, the obscurity of this syndrome remains a hurdle in making decisive treatment choices. Therefore, an attempt to characterize shared biological mechanisms between ARDS and thrombosis using comprehensive transcriptomics meta-analysis is made. We conducted an integrated gene expression meta-analysis of two independently publicly available datasets of ARDS and venous thromboembolism (VTE). Datasets GSE76293 and GSE19151 derived from National Centre for Biotechnology Information-Gene Expression Omnibus (NCBI-GEO) database were used for ARDS and VTE, respectively. Integrative meta-analysis of expression data (INMEX) tool preprocessed the datasets and effect size combination with random effect modeling was used for obtaining differentially expressed genes (DEGs). Network construction was done for hub genes and pathway enrichment analysis. Our meta-analysis identified a total of 1,878 significant DEGs among the datasets, which when subjected to enrichment analysis suggested inflammation-coagulation-hypoxemia convolutions in COVID-19 pathogenesis. The top hub genes of our study such as tumor protein 53 (TP53), lysine acetyltransferase 2B (KAT2B), DExH-box helicase 9 (DHX9), REL-associated protein (RELA), RING-box protein 1 (RBX1), and proteasome 20S subunit beta 2 (PSMB2) gave insights into the genes known to be participating in the host-virus interactions that could pave the way to understand the various strategies deployed by the virus to improve its replication and spreading.
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