Severity, Pathogenicity and Transmissibility of Delta and Lambda Variants of SARS-CoV-2, Toxicity of Spike Protein and Possibilities for Future Prevention of COVID-19
| Autor: | Ian Macreadie, Mehrnoosh Moghaddar, Ramtin Radman |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Microbiology (medical)
Delta variant QH301-705.5 medicine.medical_treatment ACE2 Review Microbiology Epitope Virus N protein Immune system Virology Antibody receptor medicine Biology (General) Furin Infectivity Protease biology spike protein toxicity Lambda variant SARS-CoV2 biology.protein Antibody furin |
| Zdroj: | Microorganisms Microorganisms, Vol 9, Iss 2167, p 2167 (2021) |
| ISSN: | 2076-2607 |
| Popis: | The World Health Organization reports that SARS-CoV-2 has infected over 220 million people and claimed over 4.7 million lives globally. While there are new effective vaccines, the differences in behavior of variants are causing challenges in vaccine development or treatment. Here, we discuss Delta, a variant of concern, and Lambda, a variant of interest. They demonstrate high infectivity and are less responsive to the immune response in vaccinated individuals. In this review, we briefly summarize the reason for infectivity and the severity of the novel variants. Delta and Lambda variants exhibit more changes in NSPs proteins and the S protein, compared to the original Wuhan strain. Lambda also has numerous amino acid substitutions in NSPs and S proteins, plus a deletion in the NTD of S protein, leading to partial escape from neutralizing antibodies (NAbs) in vaccinated individuals. We discuss the role of furin protease and the ACE2 receptor in virus infection, hotspot mutations in the S protein, the toxicity of the S protein and the increased pathogenicity of Delta and Lambda variants. We discuss future therapeutic strategies, including those based on high stability of epitopes, conservation of the N protein and the novel intracellular antibody receptor, tripartite-motif protein 21 (TRIM21) recognized by antibodies against the N protein. |
| Databáze: | OpenAIRE |
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