Reliable estimation of SARS-CoV-2 anti-spike protein IgG titers from single dilution optical density values in serologic surveys.
Reliable estimation of SARS-CoV-2 anti-spike protein IgG titers from single dilution optical density values in serologic surveys.
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DOI：
10.1016/j.diagmicrobio.2022.115807
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发表时间：
2022-12
影响因子：
2.9
通讯作者：
Fofana, Mariam O.
中科院分区：
文献类型：
--
作者：
Belitardo, Emilia M. M. Andrade;Nery, Nivison;Ticona, Juan P. Aguilar;Portilho, Moyra Machado;Mello, Iago O.;Ribeiro, Guilherme S.;Reis, Mitermayer G.;Costa, Federico;Cummings, Derek A. T.;Ko, Albert I.;Fofana, Mariam O.
单稀释ELISA光密度可靠地预测SARS-CoV-2抗S IgG滴度。添加第二稀释度进一步提高了预测精度。预测滴度的变化高度预测测量滴度的变化。使用预测滴度大大减少了大规模血清调查的资源需求。需要可靠和可扩展的血清流行病学方法来估计SARS-CoV-2的发病率，并随着大流行的发展监测人群水平的免疫动态。我们的目的是评估SARS-CoV-2标准化ELISA光密度（nOD）的可靠性相比，在一个单一的稀释度来自连续稀释的滴度。我们在巴西萨尔瓦多的一个以社区为基础的队列中进行了一系列血清学调查。用来自54名参与者的配对血清的5个系列3倍稀释液进行抗S IgG ELISA（Euroimmun AG）。nOD的变化可靠地预测了滴度的增加和减少（98.1%一致性，κ = 95.8%）。将nOD和内插滴度之间的关系拟合为双对数曲线，仅使用1至2个稀释度，即可高度准确地预测滴度（r2 = 0.995）和滴度变化（r2 = 0.975）。这种方法可以大大减少大规模血清调查所需的时间、人力和资源，以确定人群水平的暴露和免疫力变化。
Single-dilution ELISA optical density reliably predicts SARS-CoV-2 anti-S IgG titers. Addition of a second dilution further improves prediction accuracy. Changes in predicted titers are highly predictive of changes in measured titers. Using predicted titers greatly reduces the resource needs for large-scale serosurveys. Reliable and scalable seroepidemiology methods are needed to estimate SARS-CoV-2 incidence and monitor the dynamics of population-level immunity as the pandemic evolves. We aimed to evaluate the reliability of SARS-CoV-2 normalized ELISA optical density (nOD) at a single dilution compared to titers derived from serial dilutions. We conducted serial serosurveys within a community-based cohort in Salvador, Brazil. Anti-S IgG ELISA (Euroimmun AG) was performed with 5 serial 3-fold dilutions of paired sera from 54 participants. Changes in nOD reliably predicted increases and decreases in titers (98.1% agreement, κ = 95.8%). Fitting the relationship between nOD and interpolated titers to a log-log curve yields highly accurate predictions of titers (r2 = 0.995) and changes in titers (r2 = 0.975), using only 1 to 2 dilutions. This approach can significantly reduce the time, labor and resources needed for large-scale serosurveys to ascertain population-level changes in exposure and immunity.
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影响因子：
2.2
作者：
Krähling V;Halwe S;Rohde C;Becker D;Berghöfer S;Dahlke C;Eickmann M;Ercanoglu MS;Gieselmann L;Herwig A;Kupke A;Müller H;Neubauer-Rädel P;Klein F;Keller C;Becker S
通讯作者：
Becker S
影响因子：
15.9
作者：
West R;Kobokovich A;Connell N;Gronvall GK
通讯作者：
Gronvall GK
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：
4.2
作者：
Gundlapalli AV;Salerno RM;Brooks JT;Averhoff F;Petersen LR;McDonald LC;Iademarco MF;CDC COVID-19 Response
通讯作者：
CDC COVID-19 Response
影响因子：
3.7
作者：
Batchi-Bouyou, Armel Landry;Djontu, Jean Claude;Vouvoungui, Jeannhey Christevy;Mfoutou Mapanguy, Claujens Chastel;Lobaloba Ingoba, Line;Mougany, Jire Sephora;Boumpoutou, Kamal Rauchelvy;Diafouka-kietela, Steve;Ampa, Raoul;Ntoumi, Francine
通讯作者：
Ntoumi, Francine