Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Sep 14;14(9):2039.
doi: 10.3390/v14092039.

SARS-CoV-2 Seroprevalence Study in Pediatric Patients and Health Care Workers Using Multiplex Antibody Immunoassays

Affiliations

SARS-CoV-2 Seroprevalence Study in Pediatric Patients and Health Care Workers Using Multiplex Antibody Immunoassays

Esther Prados de la Torre et al. Viruses. .

Abstract

SARS-CoV-2 infection has become a global health problem specially exacerbated with the continuous appearance of new variants. Healthcare workers (HCW) have been one of the most affected sectors. Children have also been affected, and although infection generally presents as a mild disease, some have developed the Pediatric Inflammatory Multisystem Syndrome Temporally Associated with SARS-CoV-2 (PIMS-TS). We recruited 190 adults (HCW and cohabitants, April to June 2020) and 57 children (April 2020 to September 2021), of whom 12 developed PIMS-TS, in a hospital-based study in Spain. Using an in-house Luminex assay previously validated, antibody levels were measured against different spike and nucleocapsid SARS-CoV-2 proteins, including the receptor-binding domain (RBD) of the Alpha, Beta, Gamma, and Delta variants of concern (VoC). Seropositivity rates obtained from children and adults, respectively, were: 49.1% and 11% for IgG, 45.6% and 5.8% for IgA, and 35.1% and 7.3% for IgM. Higher antibody levels were detected in children who developed PIMS-TS compared to those who did not. Using the COVID-19 IgM/IgA ELISA (Vircell, S.L.) kit, widely implemented in Spanish hospitals, a high number of false positives and lower seroprevalences compared with the Luminex estimates were found, indicating a significantly lower specificity and sensitivity. Comparison of antibody levels against RBD-Wuhan versus RBD-VoCs indicated that the strongest positive correlations for all three isotypes were with RBD-Alpha, while the lowest correlations were with RBD-Delta for IgG, RBD-Gamma for IgM, and RBD-Beta for IgA. This study highlights the differences in antibody levels between groups with different demographic and clinical characteristics, as well as reporting the IgG, IgM, and IgA response to RBD VoC circulating at the study period.

Keywords: COVID-19; PIMS-TS; SARS-CoV-2; antibody; antigen; children; cohort; healthcare workers; seropositivity.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Heatmap with hierarchical clustering showing patterns of antibody responses (log10 MFI) in children according to clinical and demographic data. White spaces represent missing data.
Figure 2
Figure 2
Comparison of antibody responses against different SARS-CoV-2 antigens between children with PIMS-TS and children who did not develop PIMS-TS. IgG, IgA, and IgM isotypes to different antigens tested: N CT (C-terminal region of Nucleocapsid), N FL (full-length Nucleocapsid), RBD (receptor binding domain of spike), S (full-length Spike protein), S1 (subunit 1 from S), S2 (subunit 2 from S), all from Wuhan, and RBD from VoCs: RBD Alpha, RBD Beta, RBD Delta, RBD Gamma. Dots represent each individual value, the blue color indicates a seropositive participant, and the orange color shows a seronegative participant. Groups were compared using the Wilcoxon rank-sum test.
Figure 3
Figure 3
Correlation analysis using Spearman’s coefficient between Wuhan RBD and the RBDs of the different SARS-CoV-2 VoCs (Alpha, Beta, Gamma, and Delta) for each isotype: (A) IgG, (B) IgA, and (C) IgM.

Similar articles

Cited by

References

    1. Muralidar S., Ambi S.V., Sekaran S., Krishnan U.M. The Emergence of COVID-19 as a Global Pandemic: Understanding the Epidemiology, Immune Response and Potential Therapeutic Targets of SARS-CoV-2. Biochimie. 2020;179:85–100. doi: 10.1016/j.biochi.2020.09.018. - DOI - PMC - PubMed
    1. Lee E., Oh J.E. Humoral Immunity against SARS-CoV-2 and the Impact on COVID-19 Pathogenesis. Mol. Cells. 2021;44:392–400. doi: 10.14348/molcells.2021.0075. - DOI - PMC - PubMed
    1. Li K., Huang B., Wu M., Zhong A., Li L., Cai Y., Wang Z., Wu L., Zhu M., Li J., et al. Dynamic Changes in Anti-SARS-CoV-2 Antibodies during SARS-CoV-2 Infection and Recovery from COVID-19. Nat. Commun. 2020;11:6044. doi: 10.1038/s41467-020-19943-y. - DOI - PMC - PubMed
    1. Altawalah H. Antibody Responses to Natural SARS-CoV-2 Infection or after COVID-19 Vaccination. Vaccines. 2021;9:910. doi: 10.3390/vaccines9080910. - DOI - PMC - PubMed
    1. Jiang S., Hillyer C., Du L. Neutralizing Antibodies against SARS-CoV-2 and Other Human Coronaviruses. Trends Immunol. 2020;41:355–359. doi: 10.1016/j.it.2020.03.007. - DOI - PMC - PubMed

Publication types

Supplementary concepts