Comparison of two assays to detect IgG antibodies to the receptor binding domain of SARS‑CoV‑2 as a surrogate marker for assessing neutralizing antibodies in COVID-19 patients.
Comparison of two assays to detect IgG antibodies to the receptor binding domain of SARS‑CoV‑2 as a surrogate marker for assessing neutralizing antibodies in COVID-19 patients.
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DOI:
10.1016/j.ijid.2021.06.031
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发表时间:
2021-08
期刊:
影响因子:
--
通讯作者:
Malavige GN
中科院分区:
文献类型:
--
作者:
Kamaladasa A;Gunasekara B;Jeewandara C;Jayathilaka D;Wijewickrama A;Guruge D;Wijayamuni R;Tan TK;Ogg GS;Townsend A;Malavige GN
The haemagglutination test (HAT) detects the presence of antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It detects antibodies that correlate with neutralizing activity. The HAT is a very cheap assay, with high sensitivity and specificity. Neutralizing antibodies (NAbs) are important for protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection. In this study, two assays that are correlated with NAbs were compared: the haemagglutination test (HAT) and the surrogate virus neutralization test (sVNT). The specificity of the HAT was compared with the sVNT, and the sensitivity and persistence of antibodies in patients with varying severity of illness was assessed in a cohort of 71 patients at 4–6 weeks and 13–16 weeks. The kinetics were assessed in the first, second, and third weeks in patients with varying severity of acute illness. The specificity of the HAT was >99%, and sensitivity was similar to the sVNT. The levels of HAT were significantly and positively correlated with those of the sVNT (Spearman's r = 0.78, P < 0.0001). Patients with moderate and severe illness had higher HAT titres when compared to those with mild illness. Six of seven patients with severe illness had a titre of >1:640 during the second week of illness, whereas only five of 31 patients with a mild illness had a titre of >1:160 in the second week of illness. Since the HAT is a simple and very cheap assay to perform, it would be ideal to use as an indicator of NAbs in resource-poor settings.
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DOI:
10.15557/pimr.2020.0003
发表时间:
2020-01-01
影响因子:
3.6
作者:
通讯作者:
--
影响因子:
13.2
作者:
Sun, Baoqing;Feng, Ying;Chen, Ling
通讯作者:
Chen, Ling
影响因子:
32.4
作者:
Ni, Ling;Ye, Fang;Dong, Chen
通讯作者:
Dong, Chen
影响因子:
4.6
作者:
Algaissi A;Alfaleh MA;Hala S;Abujamel TS;Alamri SS;Almahboub SA;Alluhaybi KA;Hobani HI;Alsulaiman RM;AlHarbi RH;ElAssouli MA;Alhabbab RY;AlSaieedi AA;Abdulaal WH;Al-Somali AA;Alofi FS;Khogeer AA;Alkayyal AA;Mahmoud AB;Almontashiri NAM;Pain A;Hashem AM
通讯作者:
Hashem AM
影响因子:
4.6
作者:
Jeewandara C;Jayathilaka D;Gomes L;Wijewickrama A;Narangoda E;Idampitiya D;Guruge D;Wijayamuni R;Manilgama S;Ogg GS;Tan CW;Wang LF;Malavige GN
通讯作者:
Malavige GN