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Updated: Nov 24, 2025

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
Published on: November 5, 2021
Different mutations in SARS-CoV-2 associate with severe and mild outcome
Ádám Nagy1, Sándor Pongor2, Balázs Győrffy1
1Department of Bioinformatics, Semmelweis University, Budapest, Hungary; TTK Momentum Cancer Biomarker Research Group, Budapest, Hungary.
Identifying specific SARS-CoV-2 mutations is crucial for predicting patient outcomes. This study correlates viral protein mutations with disease severity, aiding in the identification of infections likely to result in severe outcomes.
Area of Science:
- Virology
- Genomics
- Clinical Medicine
Background:
- Genomic alterations in viruses can significantly impact disease outcomes.
- Identifying specific mutations in the SARS-CoV-2 genome is critical for understanding disease progression.
Purpose of the Study:
- To correlate protein-level mutations in the SARS-CoV-2 virus with clinical outcomes.
- To identify specific viral mutations associated with mild, severe, or critical disease.
Main Methods:
- Viral sequences from the GISAID repository were analyzed against a reference strain.
- Patient outcomes were categorized as mild, hospitalized, or severe (ICU admission or death).
- Statistical analyses, including Chi-square tests and False Discovery Rate (FDR), were used to assess mutation-outcome associations.
Main Results:
- 3,733 non-silent mutations were mapped to amino acid changes.
- Mutations linked to mild outcomes were found in ORF8, NSP6, ORF3a, NSP4, and the nucleocapsid (N) protein.
- Mutations associated with severe outcomes were identified in the surface glycoprotein (S), RNA-dependent RNA polymerase, ORF3a, NSP3, ORF6, and N proteins.
- A significant finding involved mutations within a phosphorylated region of the N protein, suggesting functional relevance.
Conclusions:
- Viral gene mutations demonstrate a direct correlation with clinical outcomes in SARS-CoV-2 infections.
- This research facilitates the rapid identification of SARS-CoV-2 variants associated with severe disease progression.
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