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通过联合检测抗 SARS-CoV-2 IgA、IgM 和 IgG 免疫球蛋白亚型对两种用于 COVID-19 监测的内部 ELISA 检测方法进行性能评估。

Performance estimation of two in-house ELISA assays for COVID-19 surveillance through the combined detection of anti-SARS-CoV-2 IgA, IgM, and IgG immunoglobulin isotypes.

机构信息

Instituto de Ciencia Animal, Facultad de Ciencias Veterinarias, Universidad Austral de Chile, Valdivia, Chile.

Laboratorio de Biología Molecular, Hospital Base de Valdivia (HBV), Valdivia, Chile.

出版信息

PLoS One. 2023 Feb 6;18(2):e0270388. doi: 10.1371/journal.pone.0270388. eCollection 2023.

DOI:10.1371/journal.pone.0270388
PMID:36745590
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9901778/
Abstract

The main objective of this study was to estimate the performance, under local epidemiological conditions, of two in-house ELISA assays for the combined detection of anti-SARS-CoV-2 IgA, IgM, and IgG immunoglobulins. A total of 94 serum samples were used for the assessment, where 44 corresponded to sera collected before the pandemic (free of SARS-CoV-2 antibodies), and 50 sera were collected from confirmed COVID-19 patients admitted to the main public hospital in the city of Valdivia, southern Chile. The Nucleocapsid (Np) and the receptor-binding domain (RBD) proteins were separately used as antigens (Np and RBD ELISA, respectively) to assess their diagnostic performance. A receiver operating characteristic (ROC) analysis was performed to estimate the optical density (OD) cut-off that maximized the sensitivity (Se) and specificity (Sp) of the ELISA assays. Np ELISA had a mean Se of 94% (95% CI = 83.5-98.8%) and a mean Sp of 100% (95% CI = 92.0-100%), with an OD 450 nm positive cut-off value of 0.88. On the other hand, RBD ELISA presented a mean Se of 96% (95% CI = 86.3-99.5%) and a mean Sp of 90% (95% CI = 78.3-97.5%), with an OD 450 nm positive cut off value of 0.996. Non-significant differences were observed between the Se distributions of Np and RBD ELISAs, but the latter presented a significant lower Sp than Np ELISA. In parallel, collected sera were also analyzed using a commercial lateral flow chromatographic immunoassay (LFCI), to compare the performance of the in-house ELISA assays against a commercial test. The LFCI had a mean sensitivity of 94% (95% CI = 87.4-100%) and a mean specificity of 100% (95% CI = 100-100%). When compared to Np ELISA, non-significant differences were observed on the performance distributions. Conversely, RBD ELISA had a significant lower Sp than the LFCI. Although, Np ELISA presented a similar performance to the commercial test, this was 2.5 times cheaper than the LFCI assay (labor cost not considered). Thus, the in-house Np ELISA could be a suitable alternative tool, in resource limited environments, for the surveillance of SARS-CoV-2 infection, supporting further epidemiological studies.

摘要

本研究的主要目的是评估两种用于联合检测抗 SARS-CoV-2 IgA、IgM 和 IgG 免疫球蛋白的内部 ELISA 检测方法在当地流行条件下的性能。共使用了 94 份血清样本进行评估,其中 44 份来自大流行前采集的血清(无 SARS-CoV-2 抗体),50 份来自智利南部瓦尔迪维亚市主要公立医院收治的确诊 COVID-19 患者。核衣壳(Np)和受体结合域(RBD)蛋白分别用作抗原(分别为 Np 和 RBD ELISA),以评估它们的诊断性能。进行了接收者操作特征(ROC)分析,以估计最大灵敏度(Se)和特异性(Sp)的光密度(OD)截止值。Np ELISA 的平均 Se 为 94%(95%CI=83.5-98.8%),平均 Sp 为 100%(95%CI=92.0-100%),OD450nm 阳性截断值为 0.88。另一方面,RBD ELISA 的平均 Se 为 96%(95%CI=86.3-99.5%),平均 Sp 为 90%(95%CI=78.3-97.5%),OD450nm 阳性截断值为 0.996。Np 和 RBD ELISA 的 Se 分布无显著差异,但后者的 Sp 明显低于 Np ELISA。同时,还使用商业侧向流动色谱免疫测定法(LFCI)分析收集的血清,以比较内部 ELISA 检测方法与商业检测的性能。LFCI 的平均灵敏度为 94%(95%CI=87.4-100%),平均特异性为 100%(95%CI=100-100%)。与 Np ELISA 相比,性能分布无显著差异。相反,RBD ELISA 的 Sp 明显低于 LFCI。虽然 Np ELISA 的性能与商业检测相似,但价格便宜 2.5 倍(不考虑劳动力成本)。因此,内部 Np ELISA 可能是资源有限环境中 SARS-CoV-2 感染监测的合适替代工具,支持进一步的流行病学研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b9d/9901778/896d3dc1c423/pone.0270388.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b9d/9901778/2839887f78a9/pone.0270388.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b9d/9901778/b9d44b80f57e/pone.0270388.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b9d/9901778/896d3dc1c423/pone.0270388.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b9d/9901778/2839887f78a9/pone.0270388.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b9d/9901778/b9d44b80f57e/pone.0270388.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b9d/9901778/896d3dc1c423/pone.0270388.g003.jpg

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