ArticleComputational and structural biotechnology journal2026
COVID-19 immunopathological features for the prediction and prevention of future emerging respiratory viral infections.
Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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10 authors.
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Abstract
Background & objective: Emerging viral infections can initiate a global pandemic with high mortality. Understanding the immunopathogenesis of these viruses is critical to developing effective strategies for managing/preventing such outbreaks. Methods: Transcriptomics analysis was performed in a UAE cohort with respective COVID-19 severities. The findings were correlated with published studies of COVID-19 severity/progression GWAS, and transcriptomics data of patients infected with different respiratory viruses. Results: The transcriptional profiling distinguished significantly between the infected COVID-19 groups and identified the interferon-induced protein, Conclusion: Our findings highlight a direction where changes in immune response and specific biomarker panels could be considered as a strategy for the prediction/prevention of new emerging respiratory virus outbreaks.
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