Evidence map›Paper›PMID 32349995›Full record

ArticleBMJ open diabetes research & care2020

Association of the IgG

Sunny S Singh, Ralph Heijmans, Claudia K E Meulen, Aloysius G Lieverse, Olga Gornik, Eric J G Sijbrands, Gordan Lauc, Mandy van Hoek

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Glycosylation in kidney diseases.Precision clinical medicine · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Protein N -Glycans in Healthy and Sclerotic Glomeruli in Diabetic Kidney Disease.Journal of the American Society of Nephrology : JASN · 2024
    Article
  10. Article
  11. The Role of Clinical Glyco(proteo)mics in Precision Medicine.Molecular & cellular proteomics : MCP · 2023
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Protein Glycosylation in Diabetes.Advances in experimental medicine and biology · 2021
    Article
  20. Immunoglobulin G Glycosylation in Diseases.Experientia supplementum (2012) · 2021
    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

8 authors at 3 institutions in 2 countries.

Sunny S SinghInternal Medicine, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands.
Ralph HeijmansInternal Medicine, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands.
Claudia K E MeulenInternal Medicine, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands.
Aloysius G LieverseInternal Medicine, Maxima Medical Centre, Eindhoven, Noord-Brabant, Netherlands.
Olga GornikFaculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.
Eric J G SijbrandsInternal Medicine, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands.
Gordan LaucFaculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.
Mandy van HoekInternal Medicine, Erasmus MC, Rotterdam, Zuid-Holland, Netherlands m.vanhoek@erasmusmc.nl.ORCID 0000-0002-2957-5436
Erasmus MC · NLUniversity of Zagreb · HRRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInflammatory processes are thought to be involved in kidney function decline in individuals with type 2 diabetes. Glycosylation of immunoglobulin G (IgG) is an important post-translation process affecting the inflammatory potential of IgG. We investigated the prospective relationship between IgG RESEARCH DESIGN AND

methodsIn the DiaGene study, an all-lines-of-care case-control study (n=1886) with mean prospective follow-up of 7.0 years, the association between 58 IgG

resultsEleven traits were significantly associated with eGFR change per year. Bisecting GlcNAc in fucosylated and fucosylated disialylated structures and monosialylation of fucosylated digalactosylated structures were associated with a faster decrease of eGFR. Fucosylation of neutral and monogalactosylated structures was associated with less eGFR decline per year. No significant associations between IgG glycans and ACR were found.

conclusionsIn type 2 diabetes, we found IgG

Indexed as

Diabetes Mellitus, Type 2Immunoglobulin GCase-Control StudiesHumansKidneyProspective StudiesImmunoglobulin Gdiabetes type 2IgG N-glycanskidney functionnephropathyN-glycosylation

Identifiers

PMID32349995
PMCPMC7213753
OpenAlexW3022008368

What OpenQuestion holds

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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.