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利用定性和定量免疫诊断检测监测重症 COVID-19 患者的特异性 IgM 和 IgG 产生:一项回顾性队列研究。

Monitoring Specific IgM and IgG Production Among Severe COVID-19 Patients Using Qualitative and Quantitative Immunodiagnostic Assays: A Retrospective Cohort Study.

机构信息

Department of Clinical Laboratory Medicine, Diagnostic Immunology Division, King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

Department of Medical Microbiology and Parasitology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

Front Immunol. 2021 Sep 3;12:705441. doi: 10.3389/fimmu.2021.705441. eCollection 2021.

Abstract

The purpose of this study is to monitor specific anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) IgG and IgM antibody production in patients with severe forms of coronavirus disease 2019 (COVID-19) using various commercially available quantitative and qualitative tests. The sera of 23 confirmed COVID-19 patients were processed for anti-SARS-CoV-2 IgG and IgM detection. Three different immunoassays, viz. Abbott Architect SARS-CoV-2 IgG assay, and two quantitative tests, ANSH SARS-CoV-2 and AESKULISA SARS-CoV-2 Nucleocapsid Protein (NP), were performed and the results pooled, from diagnosis to serum collection. Seroconversion rates were computed for all 3 assays, and possible correlations were tested using the Pearson correlation coefficient and Cohen's kappa coefficient. Overall, 70 combinations of qualitative and quantitative IgG and IgM results were pooled and analyzed. In the early phase (0-4 days after diagnosis), in all tests, IgG seroconversion rates were 43%-61%, and increased in all tests gradually to 100% after 15 days. The Pearson correlation coefficient showed a strong positive relationship between the qualitative IgG test results and both quantitative IgG tests. IgM detection was inconsistent, with maximal concentrations and seroconversion rates between 10-15 days after diagnosis and slight-to-fair agreement between the two quantitative immunoassays. There was no significant association between mortality with IgG or IgM seroconversion or concentrations. Patients with severe COVID-19 develop an early, robust anti-SARS-CoV-2 specific humoral immune response involving IgG immunoglobulins. Further comparative studies are warranted to analyze the value of serological testing in predicting the severity of COVID-19 and detecting prior exposure.

摘要

本研究旨在使用各种市售定量和定性检测方法监测严重 2019 冠状病毒病(COVID-19)患者体内针对严重急性呼吸综合征冠状病毒 2(anti-SARS-CoV-2)的特异性 IgG 和 IgM 抗体产生情况。对 23 例确诊 COVID-19 患者的血清进行了 anti-SARS-CoV-2 IgG 和 IgM 检测。对三种不同的免疫测定法(Abbott Architect SARS-CoV-2 IgG 测定法和两种定量检测法,即 ANSH SARS-CoV-2 和 AESKULISA SARS-CoV-2 核衣壳蛋白(NP))进行了检测,并汇集了从诊断到血清采集的结果。对所有 3 种检测方法计算了血清转化率,并使用 Pearson 相关系数和 Cohen's kappa 系数测试了可能的相关性。总体上,汇集和分析了 70 种定性和定量 IgG 和 IgM 结果的组合。在早期(诊断后 0-4 天),所有检测方法的 IgG 血清转化率均为 43%-61%,并在 15 天后逐渐增加到所有检测方法的 100%。Pearson 相关系数显示定性 IgG 检测结果与两种定量 IgG 检测之间具有很强的正相关关系。IgM 检测结果不一致,最大浓度和血清转化率在诊断后 10-15 天之间,两种定量免疫测定法之间存在轻度至中度一致性。死亡率与 IgG 或 IgM 血清转化率或浓度之间无显著关联。严重 COVID-19 患者会产生早期、强大的针对 SARS-CoV-2 的特异性体液免疫反应,涉及 IgG 免疫球蛋白。需要进一步的比较研究来分析血清学检测在预测 COVID-19 严重程度和检测既往暴露方面的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ba/8446649/158204ab435c/fimmu-12-705441-g001.jpg

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