Evidence map›Paper›PMID 37230973›Full record

ArticleNature communications2023

Long term anti-SARS-CoV-2 antibody kinetics and correlate of protection against Omicron BA.1/BA.2 infection.

Javier Perez-Saez, María-Eugenia Zaballa, Julien Lamour, Sabine Yerly, Richard Dubos, Delphine S Courvoisier, Jennifer Villers, Jean-François Balavoine, Didier Pittet, Omar Kherad and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

16 authors.

Javier Perez-SaezUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland. javier.perez@hcuge.ch.
María-Eugenia ZaballaUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0002-0613-9519
Julien LamourUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0003-3129-1974
Sabine YerlyDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0003-1668-696X
Richard DubosUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
Delphine S CourvoisierGeneral Directorate of Health, Geneva, Switzerland.
Jennifer VillersUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0003-3832-3481
Jean-François BalavoineDepartment of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Didier PittetDepartment of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Omar KheradDepartment of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Nicolas VuilleumierDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland.
Laurent KaiserDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals, Geneva, Switzerland.
Idris Guessous *Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-0491-6089
Silvia Stringhini *Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0002-4387-8943
Andrew S Azman *Unit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.ORCID 0000-0001-8662-9077
Specchio-COVID19 study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Binding antibody levels against SARS-CoV-2 have shown to be correlates of protection against infection with pre-Omicron lineages. This has been challenged by the emergence of immune-evasive variants, notably the Omicron sublineages, in an evolving immune landscape with high levels of cumulative incidence and vaccination coverage. This in turn limits the use of widely available commercial high-throughput methods to quantify binding antibodies as a tool to monitor protection at the population-level. Here we show that anti-Spike RBD antibody levels, as quantified by the immunoassay used in this study, are an indirect correlate of protection against Omicron BA.1/BA.2 for individuals previously infected by SARS-CoV-2. Leveraging repeated serological measurements between April 2020 and December 2021 on 1083 participants of a population-based cohort in Geneva, Switzerland, and using antibody kinetic modeling, we found up to a three-fold reduction in the hazard of having a documented positive SARS-CoV-2 infection during the Omicron BA.1/BA.2 wave for anti-S antibody levels above 800 IU/mL (HR 0.30, 95% CI 0.22-0.41). However, we did not detect a reduction in hazard among uninfected participants. These results provide reassuring insights into the continued interpretation of SARS-CoV-2 binding antibody measurements as an independent marker of protection at both the individual and population levels.

Indexed as

COVID-19Antibodies, NeutralizingAntibodies, ViralHumansImmune EvasionKineticsSARS-CoV-2Antibodies, NeutralizingAntibodies, Viral

Identifiers

PMID37230973
PMCPMC10212737

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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.