SARS-CoV-2 variants show a gradual declining pathogenicity and pro-inflammatory cytokine spur, an increasing antigenic and anti-inflammatory cytokine induction, and rising structural protein instability
Debmalya BarhiD, Sandeep TiwariiD, Lucas Gabriel Rodrigues GomesiD, Cecília Horta Ramalho PintoiD, Bruno Silva AndradeiD, Shaban AhmadiD, Alaa A. A. AljabaliiD, Khalid Jamaan AlzahraniiD, Hamsa Jameel BanjeriD, Sk. Sarif HassaniD, Elrashdy M Moustafa Mohamed RedwaniD, Khalid RazaiD, Aristóteles Goés‐NetoiD, Robinson Sabino SilvaiD, Kenneth H. LundstromiD, Vladimir Nikolaevich UverskyiD, Vasco AzevedoiD, Murtaza M. TambuwalaiD
Abstract
Hyper-transmissibility with decreased disease severity are typical characteristics of 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 15 to 31 December 2021. We show that: (i) Pathogenicity of SARS-CoV-2 variants decreases in the order: Wuhan > Gamma > Delta > Omicron; however, the antigenic property follows the order: Omicron > Gamma > Wuhan > Delta. (ii) Omicron Spike RBD has lower pathogenicity but higher antigenicity than other variants. (iii) Decreased disease severity by Omicron variant may be due to its decreased pro-inflammatory and IL-6 stimulation and increased IFN-{gamma} and IL-4 induction efficacy. (iv) Mutations in N protein are associated with decreased IL-6 induction and human DDX21-mediated increased IL-4 production in Omicron. (v) Due to mutations, the stability of S, M, N, and E proteins decreases in the order: Omicron > Gamma > Delta > Wuhan. (vi) Stronger Spike RBD-hACE2 binding in Omicron is associated with increased transmissibility. However, the lowest stability of the Omicron Spike protein makes Spike RBD-hACE2 interaction weak for systemic infection and for causing severe disease. Finally (vii), the highest instability of Omicron E protein may also be associated with decreased viral maturation and low viral load leading to less severe disease and faster recovery. Our method may be used for other similar viruses, and these findings will contribute to the understanding of the dynamics of SARS-CoV-2 variants and the management of emerging variants.
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