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
| Title: | 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 |
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| Authors: | Serhat Uysal, Kutbeddin Demirdag, Mesut Batur, Safak Ozer Balin, Mehmet Ali Asan, Ayse Sagmak Tartar, Ayhan Akbulut |
| Source: | Medicine Science, Vol 11, Iss 4, Pp 1534-40 (2022) |
| Publisher Information: | Society of Turaz Bilim, 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Medicine |
| Subject Terms: | covid-19, anti-nucleocapsid igg, ınactive vaccine, naïve, sars-cov-2, vaccination, serology, Medicine |
| More Details: | 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] |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2147-0634 |
| Relation: | http://www.ejmanager.com/fulltextpdf.php?mno=76541; https://doaj.org/toc/2147-0634 |
| DOI: | 10.5455/medscience.2022.07.153 |
| Access URL: | https://doaj.org/article/bd3ad7405c7142ab8e186363ba3915e4 |
| Accession Number: | edsdoj.bd3ad7405c7142ab8e186363ba3915e4 |
| Database: | Directory of Open Access Journals |
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