Evidence map›Paper›PMID 42635409›Full record

ArticleEuropean journal of immunology2026

Serological Predictors of Protection from Infection Upon Household Exposure to SARS-CoV-2.

Henrike Maaß, Imke Hinrichs, Martina Pavletic, Manuela Harries, Tatjana Prinke, Najat Bdeir, Richard Egelkamp, Berit Lange, Yannic C Bartsch, Mate Lerga and 1 more

Abstract read
In one paragraph

Article in European journal of immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Henrike Maaß *Department of Viral Immunology, Helmholtz Center for Infection Research, Braunschweig, Germany.
Imke Hinrichs *Laboratory of Anti-Viral Antibody-Omics, TWINCORE-Institute for Experimental Infection Research, Helmholtz Center for Infection Research (HZI) and Medical School Hannover (MHH), Hannover, Germany.
Martina PavleticEmergency Department, Clinical Hospital Center Rijeka, Rijeka, Croatia.
Manuela HarriesDepartment of Epidemiology, Helmholtz Center for Infection Research, Braunschweig, Germany.
Tatjana PrinkeDepartment of Viral Immunology, Helmholtz Center for Infection Research, Braunschweig, Germany.
Najat BdeirDepartment of Viral Immunology, Helmholtz Center for Infection Research, Braunschweig, Germany.
Richard EgelkampPublic Health Agency of Lower Saxony (NLGA), Hannover, Germany.
Berit LangeDepartment of Epidemiology, Helmholtz Center for Infection Research, Braunschweig, Germany.
Yannic C BartschLaboratory of Anti-Viral Antibody-Omics, TWINCORE-Institute for Experimental Infection Research, Helmholtz Center for Infection Research (HZI) and Medical School Hannover (MHH), Hannover, Germany.
Mate LergaEmergency Department, Clinical Hospital Center Rijeka, Rijeka, Croatia.
Luka Cicin-SainDepartment of Viral Immunology, Helmholtz Center for Infection Research, Braunschweig, Germany.

Funding

BL and MH received funding within the RESPINOW project from the Federal Ministry of Education and ResearchDeutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy-EXC 2155 390874280IH was supported by the Hannover Biomedical Research School (HBRS) and the Center for Infection Biology (ZIB), Germanyresearch was funded by the Impulse and Networking fund of the Helmholtz Association through the grant PIE-0008research was funded by the Impulse and Networking fund of the Helmholtz Association through the grant VH-NG-19-28
6 · The paper itself

Abstract

Correlates of protection against symptomatic and severe breakthrough SARS-CoV-2 infections are well characterized. However, correlates of protection against virus transmission are poorly defined due to a lack of evidence in well-designed prospective clinical trials. We studied a Croatian cohort of individuals with documented household exposure to SARS-CoV-2 in late 2022/early 2023. Sera were acquired at the time of the COVID-19 diagnosis of the index case and before symptom onset of the test case. Samples were comprehensively analyzed for predictors of protection against virus transmission. PCR-negative participants at day 0 were recalled 14 days later and re-tested by PCR and IgM ELISA to identify any virus transmission, including asymptomatic ones. Out of nearly 200 tested serological parameters, several serological features differed between the participants that became PCR-positive during the study period and those that remained PCR-negative, although none remained significant after correction for multiple testing in the full cohort. Titers of variant-specific neutralizing antibody showed the biggest difference and were higher in the uninfected subgroup. Since recent antigenic exposure may confound results, we identified the recipients exhibiting IgM seroconversion and censored them from the study. This refinement clearly separated infected and uninfected individuals by variant-specific neutralization titers and IgA1 responses to BA4/5 RBD, which remained significant after correction. Therefore, our data indicate that high IgA1 and neutralizing titers may be predictive serum correlates of protection against SARS-CoV-2 transmission in intense contacts among household members, but only if variant-specific antigen is used in serological assays.

Indexed as

Antibodies, ViralCOVID-19SARS-CoV-2AdultAgedAntibodies, NeutralizingCroatiaFamily CharacteristicsFemaleHumansImmunoglobulin MMaleMiddle AgedAntibodies, NeutralizingAntibodies, ViralImmunoglobulin Mantibody titerscorrelate of protectionCOVID‐19functional assayneutralizing antibodiesSARS‐CoV‐2serologyvaccine

Identifiers

PMID42635409
PMCPMC13501945

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.