Bibliographic Details
| 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 |
| 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 |
