Evidence map›Paper›PMID 21609021›Full record

ArticleJournal of proteome research2011

Mass spectrometric determination of IgG subclass-specific glycosylation profiles in siblings discordant for myositis syndromes.

Irina Perdivara, Shyamal D Peddada, Frederick W Miller, Kenneth B Tomer, Leesa J Deterding

Abstract read
In one paragraph

Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Immunoglobulin G Glycosylation in Diseases.Experientia supplementum (2012) · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Human plasma protein N-glycosylation.Glycoconjugate journal · 2016
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

5 authors.

Irina PerdivaraLaboratory of Structural Biology, NIH/DHHS, Research Triangle Park, North Carolina 27709, USA.
Shyamal D Peddada
Frederick W Miller
Kenneth B Tomer
Leesa J Deterding

Funding

Environmental/genetic Risk Factors and Pathogenesis of Autoimmune DiseaseZIAES101074 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI RIDER, LISA · 2009 to 2025
$34.6M
Quantitative ProteomicsZIAES103005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI DETERDING, LEESA · 2011 to 2017
$5.6M
Protein Characterization By Mass SpectrometryZIAES050171 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI TOMER, KENNETH · 2009 to 2013
$2.9M
NIEHS Statistical Consulting ServiceZIAES045005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 2009 to 2011
$2.8M
Pathogenesis And Genetic/environmental Risk Factors ForZ01ES101074 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MILLER, FREDERICK · 2002 to 2008
$2.7M
Protein Characterization By Mass SpectrometryZ01ES050171 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI TOMER, KENNETH · 2000 to 2008
$1.1M
Structural ImmunologyZIAES103026 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI DETERDING, LEESA · 2011 to 2017
$978k
NIEHS STATISTICAL CONSULTING SERVICEZ01ES045005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 1997 to 2008
$741k
Collaborative research in environmental health sciencesZIAES103066 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 2012 to 2017
$732k
Intramural NIH HHS Z01 ES045005Intramural NIH HHS Z01 ES050171Intramural NIH HHS Z01 ES101074Intramural NIH HHS Z99 ES999999NIEHS NIH HHS ES045005-14NIEHS NIH HHS ES101074-07
6 · The paper itself

Abstract

Many autoimmune conditions are believed to result from chronic inflammation as a consequence of the interaction of genetic and environmental factors in susceptible individuals. One common feature in some autoimmune diseases is the decrease in terminal galactosylation of the constant region N-glycan of the total plasma immunoglobulin. To determine whether a similar pattern is characteristic for the autoimmune disorder myositis, we analyzed the antibody subclass specific glycosylation in patients with myositis, their asymptomatic siblings, and healthy unrelated age- and sex-matched controls. The antibody subclass specific glycosylation was determined from the LC-MS analyses of the IgG glycopeptides generated by trypsin digestion of the antibody heavy chain. The glycosylation profiles of the IgG subclasses were determined relative to the total abundance of all glycoforms. We found elevated amounts of glycoforms lacking terminal galactose in myositis patients. Pairwise statistical analyses reveals that galactosylation is statistically different between the myositis patients and control groups. Furthermore, the trend analysis for glycosylation indicates a pattern of decreasing galactosylation in the order controls ≥ siblings ≥ myositis patients, suggesting the existence of a genetic, immune-related predisposition in the group of asymptomatic siblings that can be detected before the onset of clinical symptoms at the level of plasma proteins.

Indexed as

MyositisAdultAge of OnsetAsymptomatic DiseasesCase-Control StudiesChildChromatography, LiquidElectrophoresis, Polyacrylamide GelFemaleGalactoseGenetic Predisposition to DiseaseGlycopeptidesGlycosylationHumansImmunoglobulin GImmunoglobulin IsotypesGalactoseGlycopeptidesImmunoglobulin GImmunoglobulin IsotypesPeptide Fragments

Identifiers

PMID21609021
PMCPMC3137520

What OpenQuestion holds

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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.