In silico analyses on the comparative sensing of SARS-CoV-2 mRNA by the intracellular TLRs of humans.

The coronavirus disease-2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has already resulted in a huge setback to mankind in terms of millions of deaths, while the unavailability of an appropriate therapeutic strategy has made the scenario much more severe. Toll-like receptors (TLRs) are crucial mediators and regulators of host immunity and the role of human cell surface TLRs in SARS-CoV-2 induced inflammatory pathogenesis has been demonstrated recently. However, the functional significance of the human intracellular TLRs including TLR3, 7, 8, and 9 is yet unclear. Hitherto, the involvement of these intracellular TLRs in inducing pro-inflammatory responses in COVID-19 has been reported but the identity of the interacting viral RNA molecule(s) and the corresponding TLRs have not been explored. This study hopes to rationalize the comparative binding of the major SARS-CoV-2 mRNAs to the intracellular TLRs, considering the solvent-based force-fields operational in the cytosolic aqueous microenvironment that predominantly drives these interactions. Our in silico study on the binding of all mRNAs with the intracellular TLRs depicts that the mRNA of NSP10, S2, and E proteins of SARS-CoV-2 are possible virus-associated molecular patterns that bind to TLR3, TLR9, and TLR7, respectively, and trigger downstream cascade reactions. Intriguingly, binding of the viral mRNAs resulted in variable degrees of conformational changes in the ligand-binding domain of the TLRs ratifying the activation of the downstream inflammatory signaling cascade. Taken together, the current study is the maiden report to describe the role of TLR3, 7, and 9 in COVID-19 immunobiology and these could serve as useful targets for the conception of a therapeutic strategy against the pandemic.

Design of novel multiepitope constructs-based peptide vaccine against the structural S, N and M proteins of human COVID-19 using immunoinformatics analysis.

The causative agent of severe acute respiratory syndrome (SARS) reported by the Chinese Center for Disease Control (China CDC) has been identified as a novel Betacoronavirus (SARS-CoV-2). A computational approach was adopted to identify multiepitope vaccine candidates against SARS-CoV-2 based on S, N and M proteins being able to elicit both humoral and cellular immune responses. In this study, the sequence of the virus was obtained from NCBI database and analyzed with in silico tools such as NetMHCpan, IEDB, BepiPred, NetCTL, Tap transport/proteasomal cleavage, Pa3P, GalexyPepDock, I-TASSER, Ellipro and ClusPro. To identify the most immunodominant regions, after analysis of population coverage and epitope conservancy, we proposed three different constructs based on linear B-cell, CTL and HTL epitopes. The 3D structure of constructs was assessed to find discontinuous B-cell epitopes. Among CTL predicted epitopes, S257-265, S603-611 and S360-368, and among HTL predicted epitopes, N167-181, S313-330 and S1110-1126 had better MHC binding rank. We found one putative CTL epitope, S360-368 related to receptor-binding domain (RBD) region for S protein. The predicted epitopes were non-allergen and showed a high quality of proteasomal cleavage and Tap transport efficiency and 100% conservancy within four different clades of SARS-CoV-2. For CTL and HTL epitopes, the highest population coverage of the world's population was calculated for S27-37 with 86.27% and for S196-231, S303-323, S313-330, S1009-1030 and N328-349 with 90.33%, respectively. We identified overall 10 discontinuous B-cell epitopes for three multiepitope constructs. All three constructs showed strong interactions with TLRs 2, 3 and 4 supporting the hypothesis of SARS-CoV-2 susceptibility to TLRs 2, 3 and 4 like other Coronaviridae families. These data demonstrated that the novel designed multiepitope constructs can contribute to develop SARS-CoV-2 peptide vaccine candidates. The in vivo studies are underway using several vaccination strategies.

A survey of genetic variants in SARS-CoV-2 interacting domains of ACE2, TMPRSS2 and TLR3/7/8 across populations.

The COVID-19 pandemic highlighted healthcare disparities in multiple countries. As such morbidity and mortality vary significantly around the globe between populations and ethnic groups. Underlying medical conditions and environmental factors contribute higher incidence in some populations and a genetic predisposition may play a role for severe cases with respiratory failure. Here we investigated whether genetic variation in the key genes for viral entry to host cells-ACE2 and TMPRSS2-and sensing of viral genomic RNAs (i.e., TLR3/7/8) could explain the variation in incidence across diverse ethnic groups. Overall, these genes are under strong selection pressure and have very few nonsynonymous variants in all populations. Genetic determinant for the binding affinity between SARS-CoV-2 and ACE2 does not show significant difference between populations. Non-genetic factors are likely to contribute differential population characteristics affected by COVID-19. Nonetheless, a systematic mutagenesis study on the receptor binding domain of ACE2 is required to understand the difference in host-viral interaction across populations.

In silico studies on the comparative characterization of the interactions of SARS-CoV-2 spike glycoprotein with ACE-2 receptor homologs and human TLRs.

Coronavirus disease-2019 (COVID-19) outbreak due to novel coronavirus or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has come out as a major threat for mankind in recent times. It is continually taking an enormous toll on mankind by means of increasing number of deaths, associated comorbidities, and socioeconomic loss around the globe. Unavailability of chemotherapeutics/vaccine has posed tremendous challenges to scientists and doctors for developing an urgent therapeutic strategy. In this connection, the present in silico study aims to understand the sequence divergence of spike protein (the major infective protein of SARS-CoV-2), its mode of interaction with the angiotensin-converting enzyme-2 receptor (ACE2) receptor of human and related animal hosts/reservoir. Moreover, the involvement of the human Toll-like receptors (TLRs) against the spike protein has also been demonstrated. Our data indicated that the spike glycoprotein of SARS-CoV-2 is phylogenetically close to bat coronavirus and strongly binds with ACE2 receptor protein from both human and bat origin. We have also found that cell surface TLRs, especially TLR4 is most likely to be involved in recognizing molecular patterns from SARS-CoV-2 to induce inflammatory responses. The present study supported the zoonotic origin of SARS-CoV-2 from a bat and also revealed that TLR4 may have a crucial role in the virus-induced inflammatory consequences associated with COVID-19. Therefore, selective targeting of TLR4-spike protein interaction by designing competitive TLR4-antagonists could pave a new way to treat COVID-19. Finally, this study is expected to improve our understanding on the immunobiology of SARS-CoV-2 and could be useful in adopting spike protein, ACE2, or TLR-guided intervention strategy against COVID-19 shortly.