001     302002
005     20250615021109.0
024 7 _ |a 10.1371/journal.pone.0325923
|2 doi
024 7 _ |a pmid:40498720
|2 pmid
024 7 _ |a altmetric:177988709
|2 altmetric
037 _ _ |a DKFZ-2025-01201
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Weigl, Nikolas
|0 0009-0002-1858-6030
|b 0
245 _ _ |a Detectable SARS-CoV-2 specific immune responses in recovered unvaccinated individuals 250 days post wild type infection.
260 _ _ |a San Francisco, California, US
|c 2025
|b PLOS
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1749733549_28881
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Memory T cells play an important role in mediating long-lasting adaptive immune responses to viral infections, such as SARS-CoV-2. In the context of the latter, much of our current knowledge stems from studies in vaccinated individuals or repeatedly infected individuals. However, limited knowledge is available on these responses in fully naive individuals in German communities. We performed immunophenotyping of a previously naive SARS-CoV-2 cohort in convalescent individuals after asymptomatic to moderate COVID-19. The samples were collected median 250 days post infection during the first wave of the COVID pandemic in Germany (March - May 2020). In this cohort of 174 individuals, we phenotyped different leukocyte cell populations in peripheral blood (B, T and Natural Killer cells). We then assessed the serostatus against the SARS-CoV-2 antigens Nucleocapsid (N) and Spike subunit (S1) with its receptor binding domain (RBD), as these are important correlates of protection, by testing for presence of immunoglobulin G (IgG) antibodies. We also measured IgG antibody responses against the N antigen of the common cold coronaviruses HCoV-OC43, HCoV-HKU1, HCoV-NL63 and HCoV-229E, to determine possible cross-reactivity. In a subset of the cohort (n = 76), we performed intracellular staining assays (ICS) after stimulation with SARS-CoV-2 and HCoV antigens. Key findings are significant differences in frequency of CD4+ memory T cell populations, notably CD4+ TEM and CD4+ TEMRA cells, between the group of SARS-CoV-2 positive individuals and the control group. These differences correlated with cytokine production (TNFα, IFNγ) after stimulation with SARS-CoV-2 peptides, indicating a specific T cell immune response. In conclusion, a clear memory T cell and humoral response can be detected up to 250 days post mild to moderate COVID-19 disease. Our results underline findings reported by others indicating a lasting cellular immune response even in a population which previously had not been exposed to SARS-CoV-2.
536 _ _ |a 899 - ohne Topic (POF4-899)
|0 G:(DE-HGF)POF4-899
|c POF4-899
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Antibodies, Viral
|2 NLM Chemicals
650 _ 7 |a Immunoglobulin G
|2 NLM Chemicals
650 _ 7 |a Spike Glycoprotein, Coronavirus
|2 NLM Chemicals
650 _ 7 |a spike protein, SARS-CoV-2
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a COVID-19: immunology
|2 MeSH
650 _ 2 |a COVID-19: virology
|2 MeSH
650 _ 2 |a SARS-CoV-2: immunology
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Antibodies, Viral: immunology
|2 MeSH
650 _ 2 |a Antibodies, Viral: blood
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Immunoglobulin G: immunology
|2 MeSH
650 _ 2 |a Immunoglobulin G: blood
|2 MeSH
650 _ 2 |a Spike Glycoprotein, Coronavirus: immunology
|2 MeSH
650 _ 2 |a Germany: epidemiology
|2 MeSH
650 _ 2 |a Memory T Cells: immunology
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Immunologic Memory
|2 MeSH
700 1 _ |a Pleimelding, Claire
|0 0009-0004-8023-1438
|b 1
700 1 _ |a Gilberg, Leonard
|b 2
700 1 _ |a Huynh, Duc
|b 3
700 1 _ |a Brand, Isabel
|b 4
700 1 _ |a Bruger, Jan
|b 5
700 1 _ |a Frese, Jonathan
|b 6
700 1 _ |a Eser, Tabea M
|b 7
700 1 _ |a Ahmed, Mohamed I M
|b 8
700 1 _ |a Guggenbuehl-Noller, Jessica M
|b 9
700 1 _ |a Stirner, Renate
|b 10
700 1 _ |a Hoelscher, Michael
|b 11
700 1 _ |a Pritsch, Michael
|b 12
700 1 _ |a Geldmacher, Christof
|b 13
700 1 _ |a Kobold, Sebastian
|0 P:(DE-HGF)0
|b 14
700 1 _ |a Roider, Julia
|0 0000-0002-1347-2838
|b 15
700 1 _ |a group, KoCo19-/ORCHESTRA-study
|b 16
|e Collaboration Author
773 _ _ |a 10.1371/journal.pone.0325923
|g Vol. 20, no. 6, p. e0325923 -
|0 PERI:(DE-600)2267670-3
|n 6
|p e0325923 -
|t PLOS ONE
|v 20
|y 2025
|x 1932-6203
909 C O |o oai:inrepo02.dkfz.de:302002
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 14
|6 P:(DE-HGF)0
913 1 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2025
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b PLOS ONE : 2022
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-02-08T09:37:46Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-02-08T09:37:46Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2024-02-08T09:37:46Z
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2024-02-08T09:37:46Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-16
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-16
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-16
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-16
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2024-12-16
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-16
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-16
920 1 _ |0 I:(DE-He78)MU01-20160331
|k MU01
|l DKTK Koordinierungsstelle München
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)MU01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21