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

Autor: Serhat Uysal, Kutbeddin Demirdag, Mesut Batur, Safak Ozer Balin, Mehmet Ali Asan, Ayse Sagmak Tartar, Ayhan Akbulut
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Medicine Science, Vol 11, Iss 4, Pp 1534-40 (2022)
Druh dokumentu: article
ISSN: 2147-0634
DOI: 10.5455/medscience.2022.07.153
Popis: Determination 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 [Med-Science 2022; 11(4.000): 1534-40]
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