Antibody isotype diversity against SARS-CoV-2 is associated with differential serum neutralization capacities.
Antibody isotype diversity against SARS-CoV-2 is associated with differential serum neutralization capacities.
复制标题
DOI:
10.1038/s41598-021-84913-3
复制
发表时间:
2021-03-10
影响因子:
4.6
通讯作者:
Stapleford KA
中科院分区:
文献类型:
--
作者:
Noval MG;Kaczmarek ME;Koide A;Rodriguez-Rodriguez BA;Louie P;Tada T;Hattori T;Panchenko T;Romero LA;Teng KW;Bazley A;de Vries M;Samanovic MI;Weiser JN;Aifantis I;Cangiarella J;Mulligan MJ;Desvignes L;Dittmann M;Landau NR;Aguero-Rosenfeld M;Koide S;Stapleford KA
Understanding antibody responses to SARS-CoV-2 is indispensable for the development of containment measures to overcome the current COVID-19 pandemic. Recent studies showed that serum from convalescent patients can display variable neutralization capacities. Still, it remains unclear whether there are specific signatures that can be used to predict neutralization. Here, we performed a detailed analysis of sera from a cohort of 101 recovered healthcare workers and we addressed their SARS-CoV-2 antibody response by ELISA against SARS-CoV-2 Spike receptor binding domain and nucleoprotein. Both ELISA methods detected sustained levels of serum IgG against both antigens. Yet, the majority of individuals from our cohort generated antibodies with low neutralization capacity and only 6% showed high neutralizing titers against both authentic SARS-CoV-2 virus and the Spike pseudotyped virus. Interestingly, higher neutralizing sera correlate with detection of -IgG, IgM and IgA antibodies against both antigens, while individuals with positive IgG alone showed poor neutralization response. These results suggest that having a broader repertoire of antibodies may contribute to more potent SARS-CoV-2 neutralization. Altogether, our work provides a cross sectional snapshot of the SARS-CoV-2 neutralizing antibody response in recovered healthcare workers and provides preliminary evidence that possessing multiple antibody isotypes can play an important role in predicting SARS-CoV-2 neutralization.
登录
查看更多内容
影响因子:
15.3
作者:
Schmidt, Fabian;Weisblum, Yiska;Bieniasz, Paul D.
通讯作者:
Bieniasz, Paul D.
影响因子:
24.8
作者:
Isho B;Abe KT;Zuo M;Jamal AJ;Rathod B;Wang JH;Li Z;Chao G;Rojas OL;Bang YM;Pu A;Christie-Holmes N;Gervais C;Ceccarelli D;Samavarchi-Tehrani P;Guvenc F;Budylowski P;Li A;Paterson A;Yue FY;Marin LM;Caldwell L;Wrana JL;Colwill K;Sicheri F;Mubareka S;Gray-Owen SD;Drews SJ;Siqueira WL;Barrios-Rodiles M;Ostrowski M;Rini JM;Durocher Y;McGeer AJ;Gommerman JL;Gingras AC
通讯作者:
Gingras AC
影响因子:
82.9
作者:
Amanat F;Stadlbauer D;Strohmeier S;Nguyen THO;Chromikova V;McMahon M;Jiang K;Arunkumar GA;Jurczyszak D;Polanco J;Bermudez-Gonzalez M;Kleiner G;Aydillo T;Miorin L;Fierer DS;Lugo LA;Kojic EM;Stoever J;Liu STH;Cunningham-Rundles C;Felgner PL;Moran T;García-Sastre A;Caplivski D;Cheng AC;Kedzierska K;Vapalahti O;Hepojoki JM;Simon V;Krammer F
通讯作者:
Krammer F
影响因子:
32.4
作者:
Schultheiss, Christoph;Paschold, Lisa;Binder, Mascha
通讯作者:
Binder, Mascha
DOI:
10.1016/s0140-6736(20)31611-1
发表时间:
2020-08-15
期刊:
Lancet (London, England)
影响因子:
--
作者:
Bar-Zeev N;Moss WJ
通讯作者:
Moss WJ