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Total predicted MHC-I epitope load is inversely associated with population mortality from SARS-CoV-2.
Wilson, Eric A; Hirneise, Gabrielle; Singharoy, Abhishek; Anderson, Karen S.
  • Wilson EA; School of Molecular Sciences, Arizona State University, Tempe, AZ 85281, USA.
  • Hirneise G; Biodesign Institute, Tempe, AZ 85281, USA.
  • Singharoy A; Biodesign Institute, Tempe, AZ 85281, USA.
  • Anderson KS; School of Life Sciences, Arizona State University, Tempe, AZ 85281, USA.
Cell Rep Med ; 2(3): 100221, 2021 03 16.
Article in English | MEDLINE | ID: covidwho-1101542
ABSTRACT
Polymorphisms in MHC-I protein sequences across human populations significantly affect viral peptide binding capacity, and thus alter T cell immunity to infection. In the present study, we assess the relationship between observed SARS-CoV-2 population mortality and the predicted viral binding capacities of 52 common MHC-I alleles. Potential SARS-CoV-2 MHC-I peptides are identified using a consensus MHC-I binding and presentation prediction algorithm called EnsembleMHC. Starting with nearly 3.5 million candidates, we resolve a few hundred highly probable MHC-I peptides. By weighing individual MHC allele-specific SARS-CoV-2 binding capacity with population frequency in 23 countries, we discover a strong inverse correlation between predicted population SARS-CoV-2 peptide binding capacity and mortality rate. Our computations reveal that peptides derived from the structural proteins of the virus produce a stronger association with observed mortality rate, highlighting the importance of S, N, M, and E proteins in driving productive immune responses.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Histocompatibility Antigens Class I / Epitopes, T-Lymphocyte / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Cell Rep Med Year: 2021 Document Type: Article Affiliation country: J.xcrm.2021.100221

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Histocompatibility Antigens Class I / Epitopes, T-Lymphocyte / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Cell Rep Med Year: 2021 Document Type: Article Affiliation country: J.xcrm.2021.100221