Evidence map›Paper›PMID 37545492›Full record

ArticleFrontiers in immunology2023

Retained avidity despite reduced cross-binding and cross-neutralizing antibody levels to Omicron after SARS-COV-2 wild-type infection or mRNA double vaccination.

Teresa Harthaller, Barbara Falkensammer, David Bante, Maria Huber, Melanie Schmitt, Habib Benainouna, Annika Rössler, Verena Fleischer, Dorothee von Laer, Janine Kimpel and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Teresa HarthallerDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
Barbara FalkensammerDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
David BanteDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
Maria HuberDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
Melanie SchmittDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
Habib BenainounaDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
Annika RösslerDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
Verena FleischerDepartment of Hygiene, Microbiology and Public Health, Institute of Hygiene and Medical Microbiology, Innsbruck Medical University, Innsbruck, Austria.
Dorothee von LaerDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
Janine KimpelDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.
Reinhard WürznerDepartment of Hygiene, Microbiology and Public Health, Institute of Hygiene and Medical Microbiology, Innsbruck Medical University, Innsbruck, Austria.
Wegene BorenaDepartment of Hygiene, Microbiology and Public Health, Institute of Virology, Innsbruck Medical University, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The rapid evolution of SARS-CoV-2 has posed a challenge to long-lasting immunity against the novel virus. Apart from neutralizing function, binding antibodies induced by vaccination or infection play an important role in containing the infection. Methods: To determine the proportion of wild-type (WT)-generated antibodies recognizant of more recent variants, plasma samples from either SARS-CoV-2 WT-infected (n = 336) or double-mRNA (Comirnaty)-vaccinated individuals (n = 354, age and sex matched to the convalescent group) were analyzed for binding antibody capacity against the S1 protein of the BA.1 omicron variant. Results: Overall, 38.59% (95% CI, 37.01- 40.20) of WT-generated antibodies recognized Omicron BA.1 S1 protein [28.83% (95% CI, 26.73-30.91) after infection and 43.46% (95% CI, 41.61-45.31) after vaccination; p < 0.001]. Although the proportion of WT-generated binding and neutralizing antibodies also binding to BA.1 is substantially reduced, the avidity of the remaining antibodies against the Omicron variant was non-inferior to that of the ancestral virus: Omicron: 39.7% (95% CI: 38.1-41.3) as compared to the avidity to WT: 27.0% (95% CI, 25.5-28.4), respectively (p < 0.001). Furthermore, we noticed a modestly yet statistically significant higher avidity toward the Omicron epitopes among the vaccinated group (42.2%; 95% CI, 40.51-43.94) as compared to the convalescent counterparts (36.4%; 95% CI, 33.42-38.76) (p = 0.003), even after adjusting for antibody concentration. Discussion: Our results suggest that an aspect of functional immunity against the novel strain was considerably retained after WT contact, speculatively counteracting the impact of immune evasion toward neutralization of the strain. Higher antibody levels and cross-binding capacity among vaccinated individuals suggest an advantage of repeated exposure in generating robust immunity.

Indexed as

COVID-19Antibodies, NeutralizingBroadly Neutralizing AntibodiesHumansRNA, MessengerSARS-CoV-2VaccinationAntibodies, NeutralizingBroadly Neutralizing AntibodiesRNA, Messengerancestral strainaviditybinding antibodiesconvalescentCOVID-19humoral immunitymutationS1 domain

Identifiers

PMID37545492
PMCPMC10401431

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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.