Stable neutralizing antibody levels 6 months after mild and severe COVID-19 episodes.
Stable neutralizing antibody levels 6 months after mild and severe COVID-19 episodes.
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在轻度和重度新冠肺炎发作6个月后,中和抗体水平稳定。
DOI:
10.1016/j.medj.2021.01.005
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发表时间:
2021-03-12
期刊:
影响因子:
--
通讯作者:
Blanco J
中科院分区:
文献类型:
--
作者:
Pradenas E;Trinité B;Urrea V;Marfil S;Ávila-Nieto C;Rodríguez de la Concepción ML;Tarrés-Freixas F;Pérez-Yanes S;Rovirosa C;Ainsua-Enrich E;Rodon J;Vergara-Alert J;Segalés J;Guallar V;Valencia A;Izquierdo-Useros N;Paredes R;Mateu L;Chamorro A;Massanella M;Carrillo J;Clotet B;Blanco J
Understanding mid-term kinetics of immunity to SARS-CoV-2 is the cornerstone for public health control of the pandemic and vaccine development. However, current evidence is rather based on limited measurements, losing sight of the temporal pattern of these changes. We conducted a longitudinal analysis on a prospective cohort of COVID-19 patients followed up for >6 months. Neutralizing activity was evaluated using HIV reporter pseudoviruses expressing SARS-CoV-2 S protein. IgG antibody titer was evaluated by ELISA against the S2 subunit, the receptor binding domain (RBD), and the nucleoprotein (NP). Statistical analyses were carried out using mixed-effects models. We found that individuals with mild or asymptomatic infection experienced an insignificant decay in neutralizing activity, which persisted 6 months after symptom onset or diagnosis. Hospitalized individuals showed higher neutralizing titers, which decreased following a 2-phase pattern, with an initial rapid decline that significantly slowed after day 80. Despite this initial decay, neutralizing activity at 6 months remained higher among hospitalized individuals compared to mild symptomatic. The slow decline in neutralizing activity at mid-term contrasted with the steep slope of anti-RBD, S2, or NP antibody titers, all of them showing a constant decline over the follow-up period. Our results reinforce the hypothesis that the quality of the neutralizing immune response against SARS-CoV-2 evolves over the post-convalescent stage. This study was funded by , the (grant nos. SLD016 to J.B. and SLD015 to J.C.), the (grant nos. PI17/01518 and PI18/01332 to J.C.), 2017 SGR 252, and the crowdfunding initiatives , , and . The funders had no role in the study design, the data collection and analysis, the decision to publish, or the preparation of the manuscript. E.P. was supported by a doctoral grant from the (ANID; 72180406). C.A.-N. was supported by a doctoral grant from (FI). S.P.-Y. was supported by and . Assessing the durability of neutralizing responses against SARS-CoV-2 is crucial to predict the level of protection in post-convalescent COVID-19 patients. We monitored for >6 months a cohort of 210 SARS-CoV-2-infected individuals with a wide range of symptoms (from asymptomatic infection to severe disease). Our results indicate that neutralizing antibodies are stable for at least 6 months after infection. However, individuals with mild or asymptomatic infection developed lower titers of neutralizing antibodies and could be at higher risk of reinfection. Despite the maintenance of neutralizing antibodies, total antibody titers slowly but gradually declined over time without apparent stabilization. This observation requires further analysis to evaluate the potential role of viral persistence or viral re-exposure in maintaining neutralization titers. Pradenas et al. describe the kinetics of neutralizing antibodies against SARS-CoV-2 and demonstrate their association with clinical severity and their stability for at least 6 months, despite constant decay of IgG titers. These findings help us to understand the mid-term immune response and the impact on herd immunity.
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DOI:
10.1136/bmj.m4509
发表时间:
2020-11-27
期刊:
BMJ (Clinical research ed.)
影响因子:
--
作者:
Pastor-Barriuso R;Pérez-Gómez B;Hernán MA;Pérez-Olmeda M;Yotti R;Oteo-Iglesias J;Sanmartín JL;León-Gómez I;Fernández-García A;Fernández-Navarro P;Cruz I;Martín M;Delgado-Sanz C;Fernández de Larrea N;León Paniagua J;Muñoz-Montalvo JF;Blanco F;Larrauri A;Pollán M;ENE-COVID Study Group
通讯作者:
ENE-COVID Study Group
影响因子:
11.8
作者:
Wu LP;Wang NC;Chang YH;Tian XY;Na DY;Zhang LY;Zheng L;Lan T;Wang LF;Liang GD
通讯作者:
Liang GD
影响因子:
64.8
作者:
Gaebler C;Wang Z;Lorenzi JCC;Muecksch F;Finkin S;Tokuyama M;Cho A;Jankovic M;Schaefer-Babajew D;Oliveira TY;Cipolla M;Viant C;Barnes CO;Bram Y;Breton G;Hägglöf T;Mendoza P;Hurley A;Turroja M;Gordon K;Millard KG;Ramos V;Schmidt F;Weisblum Y;Jha D;Tankelevich M;Martinez-Delgado G;Yee J;Patel R;Dizon J;Unson-O'Brien C;Shimeliovich I;Robbiani DF;Zhao Z;Gazumyan A;Schwartz RE;Hatziioannou T;Bjorkman PJ;Mehandru S;Bieniasz PD;Caskey M;Nussenzweig MC
通讯作者:
Nussenzweig MC
影响因子:
9.4
作者:
Addetia A;Crawford KHD;Dingens A;Zhu H;Roychoudhury P;Huang ML;Jerome KR;Bloom JD;Greninger AL
通讯作者:
Greninger AL
影响因子:
11.8
作者:
Wang, Xiaoli;Guo, Xianghua;Wang, Quanyi
通讯作者:
Wang, Quanyi