PMID- 34145459 OWN - NLM STAT- MEDLINE DCOM- 20210929 LR - 20210929 IS - 1537-6613 (Electronic) IS - 0022-1899 (Linking) VI - 224 IP - 6 DP - 2021 Sep 17 TI - Large-Scale Identification of T-Cell Epitopes Derived From Severe Acute Respiratory Syndrome Coronavirus 2 for the Development of Peptide Vaccines Against Coronavirus Disease 2019. PG - 956-966 LID - 10.1093/infdis/jiab324 [doi] AB - BACKGROUND: Coronavirus disease 2019 (COVID-19) continues to be a major public health challenge globally. The identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-derived T-cell epitopes is of critical importance for peptide vaccines or diagnostic tools of COVID-19. METHODS: In this study, several SARS-CoV-2-derived human leukocyte antigen (HLA)-I binding peptides were predicted by NetMHCpan-4.1 and selected by Popcover to achieve pancoverage of the Chinese population. The top 5 ranked peptides derived from each protein of SARS-CoV-2 were then evaluated using peripheral blood mononuclear cells from unexposed individuals (negative for SARS-CoV-2 immunoglobulin G). RESULTS: Seven epitopes derived from 4 SARS-CoV-2 proteins were identified. It is interesting to note that most (5 of 7) of the SARS-CoV-2-derived peptides with predicted affinities for HLA-I molecules were identified as HLA-II-restricted epitopes and induced CD4+ T cell-dependent responses. These results complete missing pieces of pre-existing SARS-CoV-2-specific T cells and suggest that pre-existing T cells targeting all SARS-CoV-2-encoded proteins can be discovered in unexposed populations. CONCLUSIONS: In summary, in the current study, we present an alternative and effective strategy for the identification of T-cell epitopes of SARS-CoV-2 in healthy subjects, which may indicate an important role in the development of peptide vaccines for COVID-19. CI - (c) The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. FAU - Ma, Yipeng AU - Ma Y AD - Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China. FAU - Liu, Fenglan AU - Liu F AD - Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China. FAU - Lin, Tong AU - Lin T AD - Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China. FAU - Chen, Lei AU - Chen L AD - Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China. FAU - Jiang, Aixin AU - Jiang A AD - Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China. FAU - Tian, Geng AU - Tian G AD - Department of Oncology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China. FAU - Nielsen, Morten AU - Nielsen M AUID- ORCID: 0000-0001-7885-4311 AD - Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, Lyngby, Denmark. FAU - Wang, Mingjun AU - Wang M AD - Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China. LA - eng GR - 2020B1515120018/Guangdong Basic and Applied Basic Research Foundation/ GR - JCYJ20180507182902330/Shenzhen Basic Research Program/ GR - KQTD20130416114522736/Shenzhen Peacock Plan/ GR - KJYF202001-13/Special Funds for Dapeng New District Industry Development/ PT - Journal Article PT - Research Support, Non-U.S. Gov't PL - United States TA - J Infect Dis JT - The Journal of infectious diseases JID - 0413675 RN - 0 (COVID-19 Vaccines) RN - 0 (Epitopes, T-Lymphocyte) RN - 0 (Vaccines, Subunit) SB - IM MH - CD4-Positive T-Lymphocytes/immunology MH - CD8-Positive T-Lymphocytes/immunology MH - COVID-19/*immunology/*prevention & control MH - COVID-19 Vaccines/*immunology MH - Cell Line MH - Epitopes, T-Lymphocyte/*immunology MH - Humans MH - Leukocytes, Mononuclear/immunology MH - SARS-CoV-2 MH - Vaccines, Subunit/*immunology OTO - NOTNLM OT - 2 OT - CoV OT - SARS OT - T-cell epitopes OT - existing T cells OT - pre OT - uninfected individuals EDAT- 2021/06/20 06:00 MHDA- 2021/09/30 06:00 CRDT- 2021/06/19 06:20 PHST- 2021/04/14 00:00 [received] PHST- 2021/06/16 00:00 [accepted] PHST- 2021/06/20 06:00 [pubmed] PHST- 2021/09/30 06:00 [medline] PHST- 2021/06/19 06:20 [entrez] AID - 6305142 [pii] AID - 10.1093/infdis/jiab324 [doi] PST - ppublish SO - J Infect Dis. 2021 Sep 17;224(6):956-966. doi: 10.1093/infdis/jiab324.