Evidence map›Paper›PMID 26781493›Full record

ArticleScientific reports2016

Factors Affecting Anti-Glycan IgG and IgM Repertoires in Human Serum.

Saddam M Muthana, Jeffrey C Gildersleeve

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

45 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Review
  7. Targeted recruitment of immune effector cells for rapid eradication of influenza virus infections.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Review
  9. Article
  10. Serum antibody screening using glycan arrays.Chemical Society reviews · 2024
    Review
  11. Article
  12. Article
  13. Pathogens (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
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

2 authors at 1 institution in 1 country.

Saddam M MuthanaChemical Biology Laboratory, National Cancer Institute, NIH, 376 Boyles St., Frederick, MD 21702, USA.
Jeffrey C GildersleeveChemical Biology Laboratory, National Cancer Institute, NIH, 376 Boyles St., Frederick, MD 21702, USA.
Frederick National Laboratory for Cancer Research · US

Funding

Structural Basis of Immune Recognition of Glycosylated AntigensU54GM062116 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI ALVAREZ, RICHARD · 2001 to 2010
$80.3M
Serum Antibody Profiling with a Carbohydrate MicroarrayZIABC011055 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILDERSLEEVE, JEFFREY · 2009 to 2025
$6.3M
Intramural NIH HHSNIGMS NIH HHS U54 GM062116
6 · The paper itself

Abstract

Serum anti-glycan antibodies play important roles in many immune processes and are of particular interest as biomarkers for many diseases. Changes in anti-glycan antibodies can occur with the onset of disease or in response to stimuli such as pathogens and vaccination. Understanding relationships between anti-glycan antibody repertoires and genetic and environment factors is critical for basic research and clinical applications, but little information is available. In this study we evaluated the effects of age, race, gender, and blood type on anti-glycan antibody profiles in the serum of 135 healthy subjects. As expected, IgG and IgM antibody signals to blood group antigens correlated strongly with blood type. Interestingly, antibodies to other non-ABH glycans, such as the alpha-Gal antigen, also correlated with blood type. A statistically significant decline in IgM signals with age was observed for many antibody subpopulations, but not for IgG. Moreover, statistically significant correlations between race and IgG levels to certain LacNAc-containing glycans were observed. The results have important implications for designing studies and interpreting results in the area of biomarker discovery and for the development of vaccines. The study also highlights the importance of collecting and reporting patient information that could affect serum anti-glycan antibody levels.

Indexed as

AdultAgedAntibodiesAntibodies, Anti-IdiotypicBiomarkersFemaleHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedPolysaccharidesSerumVaccinesYoung AdultAntibodiesAntibodies, Anti-Idiotypicanti-IgGBiomarkersImmunoglobulin GImmunoglobulin MPolysaccharidesVaccines

Identifiers

PMID26781493
PMCPMC4726023
OpenAlexW2286880473

What OpenQuestion holds

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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.