PreprintCited by 45SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approachesAnimal Virus Infections Studies

mRNA vaccination compared to infection elicits an IgG-predominant response with greater SARS-CoV-2 specificity and similar decrease in variant spike recognition

Open access
Röltgen, Katharina, Nielsen, Sandra C. A., Arunachalam, Prabhu S., Yang, Fan, Hoh, Ramona A., Wirz, Oliver F., Lee, Alexandra S., Gao, Fei +12 more·2021·medRxiv

Abstract

During the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, new vaccine strategies including lipid nanoparticle delivery of antigen encoding RNA have been deployed globally. The BioNTech/Pfizer mRNA vaccine BNT162b2 encoding SARS-CoV-2 spike protein shows 95% efficacy in preventing disease, but it is unclear how the antibody responses to vaccination differ from those generated by infection. Here we compare the magnitude and breadth of antibodies targeting SARS-CoV-2, SARS-CoV-2 variants of concern, and endemic coronaviruses, in vaccinees and infected patients. We find that vaccination differs from infection in the dominance of IgG over IgM and IgA responses, with IgG reaching levels similar to those of severely ill COVID-19 patients and shows decreased breadth of the antibody response targeting endemic coronaviruses. Viral variants of concern from B.1.1.7 to P.1 to B.1.351 form a remarkably consistent hierarchy of progressively decreasing antibody recognition by both vaccinees and infected patients exposed to Wuhan-Hu-1 antigens.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1101/2021.04.05.21254952

Cites

16 of 16 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • PTX-COVID19-B had a tolerable safety profile at a dose of up to 100 μg among seronegative individuals and induced high neutralizing antibody levels in a phase I trial.

    “a successful phase I trial, which showed that it had a tolerable safety profile at a dose of up to 100 μg among seronegative individuals, and induced high neutralizing antibody levels.”

    From COVID-19 mRNA vaccines: Platforms and current developments (2022) · cites this paper as [124]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Röltgen, K., Nielsen, S. C. A., Arunachalam, P. S., Yang, F., Hoh, R. A., Wirz, O. F., Lee, A. S., Gao, F., Mallajosyula, V., Li, C., Haraguchi, E., Shoura, M. J., Wilbur, J. L., Wohlstadter, J. N., Davis, M. M., Pinsky, B. A., Sigal, G. B., Pulendran, B., Nadeau, K. C., & Boyd, S. D.
Affiliations
  • Stanford Medicine (US)
  • Stanford University (US)
  • Meso Scale Discovery (United States) (US)
  • Howard Hughes Medical Institute (US)
Corresponding author
Boyd, Scott D.
Venue
medRxiv
Publisher
openRxiv
Published
2021-04-07
OpenAlex
W3147871201
Cited by
45
References
16
Citations by year
2024: 3 · 2023: 7 · 2022: 22 · 2021: 13
Type
posted content
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • medRxiv (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by-nc-nd)
Funders
  • National Institutes of Health
  • National Cancer Institute (U54CA260517)
  • National Institute of Allergy and Infectious Diseases (HHSN272201700013C, R01AI127877, R01AI130398, U19AI057229)
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
  • Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Virus Infections Studies
Keywords
mRNA vaccination, SARS-CoV-2, BNT162b2, spike protein, antibody response, IgG, IgM, IgA, natural infection, variants of concern, Omicron variant, endemic coronaviruses, antibody breadth, lipid nanoparticle delivery

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review