High prevalence of undocumented SARS-CoV-2 infections revealed by analysis of nucleocapsid-specific IgG responses in diagnosed and undiagnosed individuals
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.
Authors
- Ilias Galanis (ORCID: https://orcid.org/0000-0002-7770-8176)
- Andreas Bråve
- Ioana Bujila
- Ramona Groenheit (ORCID: https://orcid.org/0000-0003-2696-437X)
- Marie Rapp
- Tatiana Efimova (ORCID: https://orcid.org/0000-0002-9869-1545)
- Philip Bacchus (ORCID: https://orcid.org/0000-0001-9800-1957)
- Magnus Gisslén (ORCID: https://orcid.org/0000-0002-2357-1020)
- Maike Sperk (ORCID: https://orcid.org/0000-0003-0320-6111)
- Sarah Zanetti
- Fredrik Garli
- Aleksandra Pettke (ORCID: https://orcid.org/0000-0001-9375-7755)
- Jonas Klingström (ORCID: https://orcid.org/0000-0001-9076-1441)
- Sandra Söderholm (ORCID: https://orcid.org/0000-0003-4955-9406)
- Elin Movert (ORCID: https://orcid.org/0009-0009-8868-3929)
- Klara Sondén (ORCID: https://orcid.org/0000-0003-1585-8475)
- Mikael Mansjö (ORCID: https://orcid.org/0000-0001-9289-351X)
- Kim Blom (ORCID: https://orcid.org/0000-0002-5286-3735)
- Karin Valentin Asin
Institutions
- Swedish Armed Forces (SE)
- Public Health Agency of Sweden (SE)
- Lund University (SE)
- Sahlgrenska University Hospital (SE)
- University of Gothenburg (SE)
Publication Details
- Journal
- PLOS Global Public Health
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1371/journal.pgph.0003300
- Citations
- 2
- Primary Topic
- SARS-CoV-2 and COVID-19 Research
- Type
- article
- Field-Weighted Citation Impact
- 2.79
Funders
- Public Health Agency
- Vetenskapsrådet
- Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse
- Folkhälsomyndigheten