A trend analysis of Sars-Cov-2 anti-nucleocapsid IgG antibodies with a recommendation of the cut-off classification to identify naïve, vaccinated, and infected cases

dc.contributor.authorUysal, Serhat
dc.contributor.authorDemirdağ, Kutbeddin Demirdağ
dc.contributor.authorBatur, Mesut
dc.contributor.authorBalın, Şafak Özer
dc.contributor.authorAşan, Mehmet Ali
dc.contributor.authorTartar, Ayşe Sağmak
dc.contributor.authorAkbulut, Ayhan
dc.date.accessioned2026-08-12T15:37:06Z
dc.date.issued2022
dc.departmentFırat Üniversitesi
dc.description.abstractDetermination of the vaccination’s effect on immune responses with the emergence of the Sars-Cov-2 pandemic become an important issue. This study aimed to evaluate the response of the anti-nucleocapsid IgG (anti-N IgG) index in naïve, vaccinated, or infected cases, in addition to suggesting ‘How to distinguish between vaccinated versus infected cases via anti-N IgG?’. Anti-N levels of the naïve [0.03 (0.02–0.06)], vaccinated [0.7 (0.2–1.96)], and infected [3.07 (1.44–5.2)] groups were statistically different (p<0.0001). Anti-N levels were statistically different in all periods of the infected and vaccinated sub-groups (p<0.0001). An inter-group analysis of the cases with repeated tests established that there was no difference between the not-vaccinated (-1.44±1.27) and after-infection early-vaccinated (-1.62±0.93) groups (p=0.717). A significant difference was observed between the after-infection early-vaccinated (-1.62±0.93) and late-vaccinated groups (1.5±1.61) (p<0.0001). Three-category cut-off levels were calculated for the naive, vaccinated, and infected cases as ?0.32, 0.32–1.40, and ?1.40 respectively. The area under the receiver operating curve (AUROC) of this classification was 0.907 (95% CI, 0.879–0.930) and the AUROC of the manufacturer's cut-off (?1.40) was 0.790 (95% CI, 0.754–0.823) (p<0.0001). This study demonstrates that early vaccination after the infection does not affect the trend of the anti-N level. The manufacturers should set out to update their tests dating back to the pre-vaccine period for the post-vaccine period.
dc.identifier.doi10.5455/medscience.2022.07.153
dc.identifier.endpage1540
dc.identifier.issn2147-0634
dc.identifier.issue4
dc.identifier.startpage1534
dc.identifier.trdizinid1168099
dc.identifier.urihttps://doi.org/10.5455/medscience.2022.07.153
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1168099
dc.identifier.urihttps://hdl.handle.net/11508/35312
dc.identifier.volume11
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofMedicine Science
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.tubitakinfo:eu-repo/grantAgreement/TUBITAK//
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR-Dizin_20260511
dc.subjectBiyoloji
dc.subjectMikrobiyoloji
dc.subjectBiyoteknoloji ve Uygulamalı Mikrobiyoloji
dc.subjectBiyokimya ve Moleküler Biyoloji
dc.titleA trend analysis of Sars-Cov-2 anti-nucleocapsid IgG antibodies with a recommendation of the cut-off classification to identify naïve, vaccinated, and infected cases
dc.typeArticle

Dosyalar