Evidence map›Paper›PMID 42394719›Full record

ArticleKidney international reports2026

Association of IgG N-Glycans With Adverse Outcomes in CKD.

Elena Butz, Miriam I J Bach, Fruzsina Kotsis, Inga Steinbrenner, Tamara Štambuk, Ivan Gudelj, Barbara Radovani Trbojević, Tea Pribić, Anika Mijakovac, Jennifer Nadal and 7 more

Abstract read
In one paragraph

Article in Kidney international reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Elena ButzDepartment of Data Driven Medicine, Faculty of Medicine and Medical Center, Institute of Epidemiology and Prevention, University of Freiburg, Freiburg, Germany.
Miriam I J BachDepartment of Data Driven Medicine, Faculty of Medicine and Medical Center, Institute of Epidemiology and Prevention, University of Freiburg, Freiburg, Germany.
Fruzsina KotsisDepartment of Data Driven Medicine, Faculty of Medicine and Medical Center, Institute of Epidemiology and Prevention, University of Freiburg, Freiburg, Germany.
Inga SteinbrennerDepartment of Data Driven Medicine, Faculty of Medicine and Medical Center, Institute of Epidemiology and Prevention, University of Freiburg, Freiburg, Germany.
Tamara ŠtambukGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Ivan GudeljGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Barbara Radovani TrbojevićGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Tea PribićGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Anika MijakovacGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Jennifer NadalDepartment of Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany.
Kai-Uwe EckardtDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Gordan LaucGenos Glycoscience Research Laboratory, Zagreb, Croatia.
Anna KöttgenDepartment of Data Driven Medicine, Faculty of Medicine and Medical Center, Institute of Epidemiology and Prevention, University of Freiburg, Freiburg, Germany.
Peggy SekulaDepartment of Data Driven Medicine, Faculty of Medicine and Medical Center, Institute of Epidemiology and Prevention, University of Freiburg, Freiburg, Germany.
Ulla T SchultheissDepartment of Data Driven Medicine, Faculty of Medicine and Medical Center, Institute of Epidemiology and Prevention, University of Freiburg, Freiburg, Germany.
GCKD Investigators10
GCKD Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: IgG N-glycosylation modulates inflammation and may influence chronic kidney disease (CKD). We investigated associations between IgG N-glycan patterns, kidney function, mortality, and kidney failure (KF) within the German CKD (GCKD) study. Methods: IgG N-glycan peaks were measured using ultrahigh-performance liquid chromatography in 4782 GCKD participants (estimated glomerular filtration rate [eGFR]: 30-60 ml/min per 1.73 m Results: The cohort comprised 4782 participants (mean age: 60 years, 40% women) with a median eGFR of 46 ml/min per 1.73 m Conclusion: IgG N-glycan patterns reflect inflammatory aging and associate with kidney function, mortality, and KF in CKD. These findings identify IgG N-glycans as potential immunologic biomarkers for CKD. Further validation is required to confirm causal relevance.

Indexed as

CKD progressionIgG N-glycosylationkidney functionmendelian randomizationmortality

Identifiers

PMID42394719
PMCPMC13324292

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.