lancet-header

Preprints with The Lancet is a collaboration between The Lancet Group of journals and SSRN to facilitate the open sharing of preprints for early engagement, community comment, and collaboration. Preprints available here are not Lancet publications or necessarily under review with a Lancet journal. These preprints are early-stage research papers that have not been peer-reviewed. The usual SSRN checks and a Lancet-specific check for appropriateness and transparency have been applied. The findings should not be used for clinical or public health decision-making or presented without highlighting these facts. For more information, please see the FAQs.

Population-Predicted MHCII-Epitope Presentation of SARS-CoV-2 Spike Protein Correlates to the Case Fatality Rates of COVID-19 in Different Countries

26 Pages Posted: 29 Apr 2020

See all articles by Chunguang Liang

Chunguang Liang

- Department of Bioinformatics

Elena Bencurova

- Department of Bioinformatics

Edita Sarukhanyan

- Department of Bioinformatics

Priya Neurgaonkar

- Department of Bioinformatics

Carsten Scheller

- Institute of Virology and Immunobiology

Thomas Dandekar

University of Würzburg

More...

Abstract

SARS-CoV-2 virus causes severe respiratory syndrome COVID-19. It has turned from an epidemic in the Wuhan region of China into a pandemic. We present here current data from the ongoing analysis of this virus including epidemiological and immunological analysis. We calculated correlative data of infection spread for different countries based on public data from the beginning of the SARS-CoV-2 pandemic until the first week of April 2020. We observe clear differences in SARS-CoV-2 infection and COVID19-related lethality for different countries. To investigate, whether the observed differences – besides different approaches in infection control in different countries - might also be related to differences in the predicted immune response against SARS-CoV-2 in different populations, we scanned the viral proteins for predicted linear B- and T-cell epitopes using the TepiTool and Bepipred Software tools and determined population-related differences in predicted epitope presentation using the population coverage tool of IEDB.

We observed substantial differences in predicted MHCII epitope presentation of SARS-CoV-2 proteins for different populations but only minor differences in predicted MHCI epitope presentation. A comparison of this predicted epitope MHC-coverage revealed a significant negative correlation with the case fatality rate observed in different populations for MHCII-presentation of the viral spike protein (p = 0.0095, R2 = 0.4154 for linear regression) and the membrane protein (p = 0.0242, R2 = 0.3334 for linear regression), indicating that the high case fatality rates of COVID-19 observed in some countries might be related with poor MHCII-presentation and hence weak humoral immune response against the envelope proteins of SARS-CoV-2.Our results highlight the importance of the SARS-CoV-2 spike protein in immunological control and should encourage further studies on MHCII-alleles as potential risk factors in CoViD19-disease.

Funding Statement: Land Bavaria to DFG project number 324392634–TRR 221/INF.

Declaration of Interests: All authors (CL, EB, ES, PN, CS, TD) declare that they have no conflict of interest (neither financial nor relationships with other people or organisations or other matters conflicting).

Keywords: COVID-19; population coverage; MHC II; B-cell; T-cell; epitope mapping; interactome; lethality rate; infection spread; SARS-CoV-2; SARS2

Suggested Citation

Liang, Chunguang and Bencurova, Elena and Sarukhanyan, Edita and Neurgaonkar, Priya and Scheller, Carsten and Dandekar, Thomas, Population-Predicted MHCII-Epitope Presentation of SARS-CoV-2 Spike Protein Correlates to the Case Fatality Rates of COVID-19 in Different Countries (4/11/2020). Available at SSRN: https://ssrn.com/abstract=3576817 or http://dx.doi.org/10.2139/ssrn.3576817

Chunguang Liang

- Department of Bioinformatics

Germany

Elena Bencurova

- Department of Bioinformatics

Germany

Edita Sarukhanyan

- Department of Bioinformatics

Germany

Priya Neurgaonkar

- Department of Bioinformatics

Germany

Carsten Scheller

- Institute of Virology and Immunobiology ( email )

Versbacher Str. 7
Würzburg, 97078
Germany

Thomas Dandekar (Contact Author)

University of Würzburg ( email )

Sanderring 2
Würzburg, D-97070
Germany

Click here to go to TheLancet.com

Paper statistics

Downloads
131
Abstract Views
2,025
PlumX Metrics