Evidence map›Paper›PMID 36982475›Full record

ArticleInternational journal of molecular sciences2023

Glycosylation Analysis of Urinary Peptidome Highlights IGF2 Glycopeptides in Association with CKD.

Sonnal Lohia, Agnieszka Latosinska, Jerome Zoidakis, Manousos Makridakis, Harald Mischak, Griet Glorieux, Antonia Vlahou, Vera Jankowski

Open access · goldFull text read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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 4 institutions in 3 countries.

Sonnal LohiaCenter of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece.ORCID 0000-0002-7283-8529
Agnieszka LatosinskaMosaiques Diagnostics GmbH, 30659 Hannover, Germany.
Jerome ZoidakisCenter of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece.ORCID 0000-0002-4557-3430
Manousos MakridakisCenter of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece.ORCID 0000-0002-0063-3559
Harald MischakMosaiques Diagnostics GmbH, 30659 Hannover, Germany.ORCID 0000-0003-0323-0306
Griet GlorieuxDepartment of Internal Medicine and Pediatrics, Nephrology Division, Ghent University Hospital, 9000 Gent, Belgium.ORCID 0000-0002-7641-4707
Antonia VlahouCenter of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece.ORCID 0000-0003-3284-5713
Vera JankowskiInstitute for Molecular Cardiovascular Research, RWTH Aachen University Hospital, 52074 Aachen, Germany.
Biomedical Research Foundation of the Academy of Athens · GRMosaiques Diagnostics and Therapeutics (Germany) · DEGhent University Hospital · BERWTH Aachen University · DE

Funding

This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement. 860329
6 · The paper itself

Abstract

Chronic kidney disease (CKD) is prevalent in 10% of world's adult population. The role of protein glycosylation in causal mechanisms of CKD progression is largely unknown. The aim of this study was to identify urinary O-linked glycopeptides in association to CKD for better characterization of CKD molecular manifestations. Urine samples from eight CKD and two healthy subjects were analyzed by CE-MS/MS and glycopeptides were identified by a specific software followed by manual inspection of the spectra. Distribution of the identified glycopeptides and their correlation with Age, eGFR and Albuminuria were evaluated in 3810 existing datasets. In total, 17 O-linked glycopeptides from 7 different proteins were identified, derived primarily from Insulin-like growth factor-II (IGF2). Glycosylation occurred at the surface exposed IGF2 Threonine 96 position. Three glycopeptides (DVStPPTVLPDNFPRYPVGKF, DVStPPTVLPDNFPRYPVG and DVStPPTVLPDNFPRYP) exhibited positive correlation with Age. The IGF2 glycopeptide (tPPTVLPDNFPRYP) showed a strong negative association with eGFR. These results suggest that with aging and deteriorating kidney function, alterations in IGF2 proteoforms take place, which may reflect changes in mature IGF2 protein. Further experiments corroborated this hypothesis as IGF2 increased plasma levels were observed in CKD patients. Protease predictions, considering also available transcriptomics data, suggest activation of cathepsin S with CKD, meriting further investigation.

Indexed as

GlycopeptidesRenal Insufficiency, ChronicTandem Mass SpectrometryAdultAgingGlycosylationHumansInsulin-Like Growth Factor IISoftwareGlycopeptidesIGF2 protein, humanInsulin-Like Growth Factor IICKDeGFRglycopeptideglycosylationIGF2peptidomicspost translational modificationsPTMsurine

Identifiers

PMID36982475
PMCPMC10048973
OpenAlexW4324057869

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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identifiers read1
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.