Evidence map›Paper›PMID 37104046›Full record

ArticleThe Journal of infectious diseases2023

Binding and Avidity Signatures of Polyclonal Sera From Individuals With Different Exposure Histories to Severe Acute Respiratory Syndrome Coronavirus 2 Infection, Vaccination, and Omicron Breakthrough Infections.

Gagandeep Singh, Anass Abbad, Johnstone Tcheou, Demodara Rao Mendu, Adolfo Firpo-Betancourt, Charles Gleason, Komal Srivastava, Carlos Cordon-Cardo, Viviana Simon, Florian Krammer and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Gagandeep SinghDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Anass AbbadDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Johnstone TcheouDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Demodara Rao MenduDepartment of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Adolfo Firpo-BetancourtDepartment of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Charles GleasonDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Komal SrivastavaDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Carlos Cordon-CardoDepartment of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Viviana SimonDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Florian KrammerDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-4121-776X
Juan Manuel CarreñoDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Icahn School of Medicine at Mount Sinai · US

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
COLLABORATIVE INFLUENZA VACCINE INNOVATION CENTER: UNIVERSAL INFLUENZA VACCINE RESEARCH75N93019C00051 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KRAMMER, FLORIAN · 2019 to 2025
$105.4M
NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00014 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GARCIA-SASTRE, ADOLFO · 2021 to 2025
$62.6M
NCI NIH HHS 75N91019D00024NIAID NIH HHS 75N93019C00051NIAID NIH HHS 75N93021C00014NIAID NIH HHS HHSN272201400008C
6 · The paper itself

Abstract

backgroundThe number of exposures to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and to vaccine antigens affect the magnitude and avidity of the polyclonal response.

methodsWe studied binding and avidity of different antibody isotypes to the spike, the receptor-binding domain (RBD), and the nucleoprotein (NP) of wild-type (WT) and BA.1 SARS-CoV-2 in convalescent, mRNA vaccinated and/or boosted, hybrid immune individuals and in individuals with breakthrough cases during the peak of the BA.1 wave.

resultsWe found an increase in spike-binding antibodies and antibody avidity with increasing number of exposures to infection and/or vaccination. NP antibodies were detectible in convalescent individuals and a proportion of breakthrough cases, but they displayed low avidity. Omicron breakthrough infections elicited high levels of cross-reactive antibodies between WT and BA.1 antigens in vaccinated individuals without prior infection directed against the spike and RBD. The magnitude of the antibody response and avidity correlated with neutralizing activity against WT virus.

conclusionsThe magnitude and quality of the antibody response increased with the number of antigenic exposures, including breakthrough infections. However, cross-reactivity of the antibody response after BA.1 breakthroughs, was affected by the number of prior exposures.

Indexed as

Antibodies, ViralAntibody AffinityBreakthrough InfectionsCOVID-19SARS-CoV-2AnimalsBNT162 VaccineChlorocebus aethiopsCOVID-19 Serological TestingHumansVaccinationVero CellsAntibodies, ViralBNT162 VaccineantibodiesavidityneutralizationomicronSARS-CoV-2

Identifiers

PMID37104046
PMCPMC10469125
OpenAlexW4367174509

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.