Evidence map›Paper›PMID 36952347›Full record

ArticleCell reports2023

Antigen presentation dynamics shape the antibody response to variants like SARS-CoV-2 Omicron after multiple vaccinations with the original strain.

Leerang Yang, Matthew Van Beek, Zijun Wang, Frauke Muecksch, Marie Canis, Theodora Hatziioannou, Paul D Bieniasz, Michel C Nussenzweig, Arup K Chakraborty

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
9.5field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Leerang YangDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Matthew Van BeekDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Zijun WangLaboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA.
Frauke MueckschLaboratory of Retrovirology, The Rockefeller University, New York, NY 10065, USA.
Marie CanisLaboratory of Retrovirology, The Rockefeller University, New York, NY 10065, USA.
Theodora HatziioannouLaboratory of Retrovirology, The Rockefeller University, New York, NY 10065, USA.
Paul D BieniaszLaboratory of Retrovirology, The Rockefeller University, New York, NY 10065, USA; Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA.
Michel C NussenzweigLaboratory of Molecular Immunology, The Rockefeller University, New York, NY 10065, USA; Howard Hughes Medical Institute, The Rockefeller University, New York, NY 10065, USA. Electronic address: nussen@mail.rockefeller.edu.
Arup K ChakrabortyDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA. Electronic address: arupc@mit.edu.
Rockefeller University · USHoward Hughes Medical Institute · USMassachusetts Institute of Technology · USRagon Institute of MGH, MIT and Harvard · US

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Class Switch Recombination in B LymphocytesR37AI037526 · NIAID · ROCKEFELLER UNIVERSITY · PI NUSSENZWEIG, MICHEL C · 2014 to 2023
$5.4M
Howard Hughes Medical InstituteNCATS NIH HHS UL1 TR001866NIAID NIH HHS R37 AI037526NIAID NIH HHS U19 AI057229
6 · The paper itself

Abstract

The Omicron variant of SARS-CoV-2 is not effectively neutralized by most antibodies elicited by two doses of mRNA vaccines, but a third dose increases anti-Omicron neutralizing antibodies. We reveal mechanisms underlying this observation by combining computational modeling with data from vaccinated humans. After the first dose, limited antigen availability in germinal centers (GCs) results in a response dominated by B cells that target immunodominant epitopes that are mutated in an Omicron-like variant. After the second dose, these memory cells expand and differentiate into plasma cells that secrete antibodies that are thus ineffective for such variants. However, these pre-existing antigen-specific antibodies transport antigen efficiently to secondary GCs. They also partially mask immunodominant epitopes. Enhanced antigen availability and epitope masking in secondary GCs together result in generation of memory B cells that target subdominant epitopes that are less mutated in Omicron. The third dose expands these cells and boosts anti-variant neutralizing antibodies.

Indexed as

Antigen PresentationCOVID-19Antibodies, NeutralizingAntibodies, ViralAntibody FormationEpitopesHumansImmunodominant EpitopesSARS-CoV-2VaccinationAntibodies, NeutralizingAntibodies, ViralEpitopesImmunodominant Epitopesaffinity maturationantigen presentationbooster immunizationCP: Immunologyepitope maskingimmunodominanceOmicronSARS-CoV-2vaccines

Identifiers

PMID36952347
PMCPMC9986127
OpenAlexW4323316913

What OpenQuestion holds

Textmetadata
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.