Suppnonsense-mediated decay-linked mutations in SARS-CoV-2 and their association with COVID-19 disease severity

Nonsense-mediated decay (NMD) is a cellular mechanism that degrades mRNAs with premature termination codons (PTCs), preventing the production of truncated, potentially harmful proteins. While its role in viral infections is increasingly recognized, the relationship between NMD-linked mutations in SARS-CoV-2 and COVID-19 severity remains poorly understood. To investigate the presence of SARS-CoV-2 nonsense mutations predicted to trigger NMD and assess their association with clinical disease severity and viral genomic. We conducted whole-genome sequencing on samples from 129 hospitalized COVID-19 patients. A panel of 21 nonsense mutations predicted to activate the NMD pathway was identified and analyzed. Statistical correlations with clinical severity were assessed, including multivariate analysis. Receiver Operating Characteristic (ROC) curves and interdependency analysis of mutation combinations were also performed. Five NMD-associated mutations (Variants 5, 6, 7, 9, and 15) showed significant associations with mild disease. These mutations, located in key SARS-CoV-2 genes, include Variant 5 (g.C5575G, T, synonymous substitution in ORF1ab), Variant 6 (g.T5653G, substitution in ORF1ab), Variant 7 (g.G6094GGACAGACTTT/GCCTACACGACGCTAATC, insertion in spike protein), Variant 9 (g.G6446GAATGA, insertion in spike protein), and Variant 15 (g.T10968TATATTGA, insertion in N protein). In the host-adjusted multivariable model, the presence of at least one NMD-inducing mutation was an independent protective factor (OR = 0.34, 95% CI: 0.16–0.72, p = 0.005). However, after adjusting for SARS-CoV-2 lineage, this association was attenuated (OR = 0.67, 95% CI: 0.03–13.84, p = 0.793). In the lineage-only model, Omicron infection showed higher odds of severe disease compared to Delta (OR = 1.91, 95% CI: 0.77–4.77, p = 0.164). ROC analysis indicated limited predictive value for individual variants (AUC = 0.37–0.48), but specific combinations, such as Variants 5 and 7, markedly reduced severe case incidence (92.9–4.8%, p = 0.0001). NMD-inducing nonsense mutations were associated with reduced COVID-19 severity in host-adjusted analyses, but this effect diminished after accounting for viral lineage, suggesting that variant distribution, particularly Omicron may influence these associations. Integrating viral genomic background with host and clinical data may enhance risk prediction and inform antiviral strategies.

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-09-16
DOI
https://doi.org/10.1186/s12879-025-11609-8
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Suppnonsense-mediated decay-linked mutations in SARS-CoV-2 and their association with COVID-19 disease severity

Salwa Sabet, Ahmed F. Gad, Mohamed Abdel‐Salam Elgohary, Usama Bakry et al.
BMC Infectious Diseases
SARS-CoV-2 and COVID-19 Research
article

Suppnonsense-mediated decay-linked mutations in SARS-CoV-2 and their association with COVID-19 disease severity

Salwa Sabet, Ahmed F. Gad, Mohamed Abdel‐Salam Elgohary, Usama Bakry, Mohamed G. Seadawy, Nashwa Nagy El-Khazragy, Wael A. Hassan, Ahmed Abd El-Raouf, Omnia M Abdel-Haseb
article en

Abstract

Nonsense-mediated decay (NMD) is a cellular mechanism that degrades mRNAs with premature termination codons (PTCs), preventing the production of truncated, potentially harmful proteins. While its role in viral infections is increasingly recognized, the relationship between NMD-linked mutations in SARS-CoV-2 and COVID-19 severity remains poorly understood. To investigate the presence of SARS-CoV-2 nonsense mutations predicted to trigger NMD and assess their association with clinical disease severity and viral genomic. We conducted whole-genome sequencing on samples from 129 hospitalized COVID-19 patients. A panel of 21 nonsense mutations predicted to activate the NMD pathway was identified and analyzed. Statistical correlations with clinical severity were assessed, including multivariate analysis. Receiver Operating Characteristic (ROC) curves and interdependency analysis of mutation combinations were also performed. Five NMD-associated mutations (Variants 5, 6, 7, 9, and 15) showed significant associations with mild disease. These mutations, located in key SARS-CoV-2 genes, include Variant 5 (g.C5575G, T, synonymous substitution in ORF1ab), Variant 6 (g.T5653G, substitution in ORF1ab), Variant 7 (g.G6094GGACAGACTTT/GCCTACACGACGCTAATC, insertion in spike protein), Variant 9 (g.G6446GAATGA, insertion in spike protein), and Variant 15 (g.T10968TATATTGA, insertion in N protein). In the host-adjusted multivariable model, the presence of at least one NMD-inducing mutation was an independent protective factor (OR = 0.34, 95% CI: 0.16–0.72, p = 0.005). However, after adjusting for SARS-CoV-2 lineage, this association was attenuated (OR = 0.67, 95% CI: 0.03–13.84, p = 0.793). In the lineage-only model, Omicron infection showed higher odds of severe disease compared to Delta (OR = 1.91, 95% CI: 0.77–4.77, p = 0.164). ROC analysis indicated limited predictive value for individual variants (AUC = 0.37–0.48), but specific combinations, such as Variants 5 and 7, markedly reduced severe case incidence (92.9–4.8%, p = 0.0001). NMD-inducing nonsense mutations were associated with reduced COVID-19 severity in host-adjusted analyses, but this effect diminished after accounting for viral lineage, suggesting that variant distribution, particularly Omicron may influence these associations. Integrating viral genomic background with host and clinical data may enhance risk prediction and inform antiviral strategies.

BMC Infectious DiseasesVol. 25(1)
Ain Shams University (EG), Ministry of Defence (GB), Cairo University (EG), Egypt Center for Research and Regenerative Medicine (EG)
Science and Technology Development Fund
Openalex Percentile: Top 70%
SARS-CoV-2 and COVID-19 Research
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