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. 2025 Jan 22;5(1):e0003300.
doi: 10.1371/journal.pgph.0003300. eCollection 2025.

High prevalence of undocumented SARS-CoV-2 infections revealed by analysis of nucleocapsid-specific IgG responses in diagnosed and undiagnosed individuals

Affiliations

High prevalence of undocumented SARS-CoV-2 infections revealed by analysis of nucleocapsid-specific IgG responses in diagnosed and undiagnosed individuals

Kim Blom et al. PLOS Glob Public Health. .

Abstract

Acute SARS-CoV-2 infections are not always diagnosed; hence an unknown proportion of all infections are not documented. SARS-CoV-2 can induce spike and nucleocapsid protein specific IgG antibodies, which can be detected in seroprevalence studies to identify a previous infection. However, with the introduction of vaccines containing the spike protein it is no longer possible to use spike-IgG as a marker of infection. In many countries marketed vaccines do not include the nucleocapsid protein, allowing the use of nucleocapsid-specific IgG (N-IgG) as a specific marker for previous infection. Importantly however, not all SARS-CoV-2-infected individuals develop detectable N-IgG responses and there are reports of waning of N-IgG titers in previously infected individuals, complicating the use of N-IgG in seroprevalence studies. Here, our aim was to investigate N-IgG as a marker for previous infection. To this end we analyzed a well characterized cohort (n = 2,583; sampled in March, 2022), including 612 participants with a previously diagnosed and documented SARS-CoV-2-infection. We show that 75% (460/612) of the confirmed SARS-CoV-2-infected participants were N-IgG positive, and that the frequency of seropositivity was stable for at least 105 weeks after the latest documented SARS-CoV-2-infection. Among participants with no documented SARS-CoV-2-infection, 32.6% (642/1971) were N-IgG-positive, suggesting a previous infection. Assuming similar frequency of N-IgG-seronegative cases in previously diagnosed and undiagnosed individuals we further estimate that 214 of the 1329 undiagnosed and N-IgG-negative cases had been previously infected, indicating a total infection rate of 56.8% (1,468/2,583), clearly higher than the documented 23.7% rate of infection, in this cohort. In conclusion, our results suggest that while N-IgG is a good marker of previous SARS-CoV-2-infection the large proportion of previously infected N-IgG-negative individuals introduces a risk for underestimations of total level of previously infected individuals in a population. Accounting for this dark number of undiagnosable cases can provide better estimates of total level of infected individuals in a population.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. No general antibody waning over time in individuals with a previous confirmed SARS-CoV-2 infection.
Data shown represent N-IgG titers over time after the last documented infection in the 612 confirmed SARS-CoV-2 infected individuals. The N-IgG titers represent Binding Antibody Units (BAU)/ml. Cut-off for a positive response is 11.8 BAU/ml. LOESS curve; the shaded area represents 95% confidence interval.
Fig 2
Fig 2. Flow chart showing study design and results.
Dark number; undocumented and undiagnosable infections.

References

    1. Groenheit R, Beser J, Kühlmann Berenzon S, Galanis I, van Straten E, Duracz J, et al. Point prevalence of SARS-CoV-2 infection in Sweden at six time points during 2020. BMC Infect Dis. 2022;22(1):861. doi: 10.1186/s12879-022-07858-6 - DOI - PMC - PubMed
    1. Santillana M, Uslu AA, Urmi T, Quintana-Mathe A, Druckman JN, Ognyanova K, et al. Tracking COVID-19 infections using survey data on rapid at-home tests. JAMA Netw Open. 2024;7(9):e2435442. doi: 10.1001/jamanetworkopen.2024.35442 - DOI - PMC - PubMed
    1. World Health Organization. WHO policy brief on surveillance for COVID-19. 2023. Available from: https://www.who.int/publications/i/item/WHO-2019-nCoV-Policy_Brief-Surve...
    1. Yang S, Yu Y, Xu Y, Jian F, Song W, Yisimayi A, et al. Fast evolution of SARS-CoV-2 BA.2.86 to JN.1 under heavy immune pressure. Lancet Infect Dis. 2024;24(2):e70–2. doi: 10.1016/S1473-3099(23)00744-2 - DOI - PubMed
    1. Blom K, Fjällström P, Molnár C, Åberg M, Vikström L, Wigren-Byström J, et al. SARS-CoV-2-related mortality decrease in nursing home residents given multiple COVID-19 boosters. Lancet Infect Dis. 2023;23(10):e393–4. doi: 10.1016/S1473-3099(23)00548-0 - DOI - PubMed

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