Evidence map›Paper›PMID 35091890›Full record

ReviewGlycoconjugate journal2022

Antibody glycosylation in COVID-19.

Tamas Pongracz, Gestur Vidarsson, Manfred Wuhrer

Open access · hybridAbstract readReview
In one paragraph

Review in Glycoconjugate journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Total plasmaiScience · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Glycobiology of rheumatic diseases.Nature reviews. Rheumatology · 2023
    Review
  20. Observational
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

3 authors at 2 institutions in 1 country.

Tamas PongraczCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands. t.pongracz@lumc.nl.ORCID 0000-0002-8089-4352
Gestur VidarssonDepartment of Experimental Immunohematology, Sanquin Research, and Landsteiner Laboratory, UMC, University of Amsterdam, AmsterdamAmsterdam, Netherlands.ORCID 0000-0001-5621-003X
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-0814-4995
Leiden University Medical Center · NLSanquin · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody glycosylation has received considerable attention in coronavirus disease 2019 (COVID-19) infections and recently also in vaccination. Antibody glycosylation and in particular immunoglobulin G1 fucosylation levels influence effector functions and are therefore key parameters for assessing the efficacy and safety of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) directed immune responses. This review article summarizes and interprets recent research into antibody glycosylation in COVID-19. Experimental approaches for analyzing the glycosylation of SARS-CoV-2-directed antibody responses are evaluated. The pronounced dynamics, effector functions, clinical utility, and regulation of antibody glycosylation in COVID-19 are assessed. Future research on the role of antibody glycosylation in COVID may cover the glycosylation of other antibody classes beyond immunoglobulin G, the regulation of antibody glycosylation, and the role of non-canonical antibody receptors in determining effector functions.

Indexed as

COVID-19Antibodies, ViralGlycosylationHumansImmunoglobulin GSARS-CoV-2Antibodies, ViralImmunoglobulin GAntibody glycosylationCOVID-19Glycomics, biomarkerIgG glycosylationSARS-CoV-2

Identifiers

PMID35091890
PMCPMC8799414
OpenAlexW4210702186

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.