SARS-CoV-2 Variants Show a Gradual Declining Pathogenicity and Pro-Inflammatory Cytokine Stimulation, an Increasing Antigenic and Anti-Inflammatory Cytokine Induction, and Rising Structural Protein Instability: A Minimal Number Genome-Based Approach
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Abstract
Hyper-transmissibility with decreased disease severity is a typical characteristic of the SARS-CoV-2 Omicron variant. To understand this phenomenon, we used various bioinformatics approaches to analyze randomly selected genome sequences (one each) of the Gamma, Delta, and Omicron variants submitted to NCBI from December 15 to 31, 2021. We report that the pathogenicity of SARS-CoV-2 variants decreases in the order of Wuhan > Gamma > Delta > Omicron; however, the antigenic property follows the order of Omicron > Gamma > Wuhan > Delta. The Omicron spike RBD shows lower pathogenicity but higher antigenicity than other variants. The reported decreased disease severity by the Omicron variant may be due to its decreased pro-inflammatory and IL-6 stimulation and increased IFN-γ and IL-4 induction efficacy. The mutations in the N protein are probably associated with this decreased IL-6 induction and human DDX21-mediated increased IL-4 production for Omicron. Due to the mutations, the stability of S, M, N, and E proteins decreases in the order of Omicron > Gamma > Delta > Wuhan. Although a stronger spike RBD-hACE2 binding of Omicron increases its transmissibility, the lowest stability of its spike protein makes spike RBD-hACE2 interaction weak for systemic infection and for causing severe disease. Finally, the highest instability of the Omicron E protein may also be associated with decreased viral maturation and low viral load, leading to less severe disease and faster recovery. Our findings will contribute to the understanding of the dynamics of SARS-CoV-2 variants and the management of emerging variants. This minimal genome-based method may be used for other similar viruses avoiding robust analysis.
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Highly accurate protein structure prediction with AlphaFold
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- Authors
- Barh, D., Tiwari, S., Rodrigues Gomes, L. G., Ramalho Pinto, C. H., Andrade, B. S., Ahmad, S., Aljabali, A. A. A., Alzahrani, K. J., Banjer, H. J., Hassan, S. S., Redwan, E. M., Raza, K., Góes-Neto, A., Sabino-Silva, R., Lundstrom, K., Uversky, V. N., Azevedo, V., & Tambuwala, M. M.
- Affiliations
- Universidade Federal de Minas Gerais (BR)
- Southwest Bahia State University (BR)
- Jamia Millia Islamia (IN)
- Yarmouk University (JO)
- Taif University (SA)
- King Abdulaziz University (SA)
- University of South Florida (US)
- University of Lincoln (GB)
- Corresponding author
- Barh, Debmalya
- ORCID
- Venue
- Inflammation
- Published
- 2022-10-10
- Volume
- 46
- Issue
- 1
- Pages
- 297-312
- ISSN
- 0360-3997 (ISSN-L)
- 1573-2576
- PMC
- PMC9549046
- OpenAlex
- W4303984078
- Cited by
- 50
- References
- 3
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 17 · 2023: 11 · 2022: 7
- FWCI
- 5.11
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Inflammation (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- California HIV/AIDS Research Program
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais
- Taif University (TURSP-2020, TURSP-2020/128)
- Universidade Federal de Minas Gerais
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- SARS-CoV-2 variants, Omicron variant, Gamma variant, Delta variant, Wuhan variant, pathogenicity, antigenicity, inflammatory cytokines, interleukin-6, interferon-gamma, IL-4, DDX21, viral transmissibility, disease severity, virus maturation, viral load
- MeSH terms
- COVID-19, SARS-CoV-2, Anti-Inflammatory Agents, Humans, Transcription Factors, Virulence, Interleukin-4, Interleukin-6, Cytokines, DEAD-box RNA Helicases
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