Evidence map›Paper›PMID 26739145›Full record

ReviewGlycoconjugate journal2016

Clinical diagnostics and therapy monitoring in the congenital disorders of glycosylation.

Monique Van Scherpenzeel, Esther Willems, Dirk J Lefeber

Open access · hybridAbstract readReview
In one paragraph

Review in Glycoconjugate journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 74 citations in OpenAlex.

  1. Review
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  5. Altered Cell SurfaceJournal of proteome research · 2025
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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

3 authors at 2 institutions in 2 countries.

Monique Van ScherpenzeelTranslational Metabolic Laboratory, Radboud University Medical Center, Geert Grooteplein 10, Nijmegen, 6525 GA, The Netherlands.
Esther WillemsTranslational Metabolic Laboratory, Radboud University Medical Center, Geert Grooteplein 10, Nijmegen, 6525 GA, The Netherlands.
Dirk J LefeberTranslational Metabolic Laboratory, Radboud University Medical Center, Geert Grooteplein 10, Nijmegen, 6525 GA, The Netherlands. Dirk.Lefeber@Radboudumc.nl.
Radboud University Nijmegen · NLRadboud University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal protein glycosylation is observed in many common disorders like cancer, inflammation, Alzheimer's disease and diabetes. However, the actual use of this information in clinical diagnostics is still very limited. Information is usually derived from analysis of total serum N-glycan profiling methods, whereas the current use of glycoprotein biomarkers in the clinical setting is commonly based on protein levels. It can be envisioned that combining protein levels and their glycan isoforms would increase specificity for early diagnosis and therapy monitoring. To establish diagnostic assays, based on the mass spectrometric analysis of protein-specific glycosylation abnormalities, still many technical improvements have to be made. In addition, clinical validation is equally important as well as an understanding of the genetic and environmental factors that determine the protein-specific glycosylation abnormalities. Important lessons can be learned from the group of monogenic disorders in the glycosylation pathway, the Congenital Disorders of Glycosylation (CDG). Now that more and more genetic defects are being unraveled, we start to learn how genetic factors influence glycomics profiles of individual and total serum proteins. Although only in its initial stages, such studies suggest the importance to establish diagnostic assays for protein-specific glycosylation profiling, and the need to look beyond the single glycoprotein diagnostic test. Here, we review progress in and lessons from genetic disease, and review the increasing opportunities of mass spectrometry to analyze protein glycosylation in the clinical diagnostic setting. Furthermore, we will discuss the possibilities to expand current CDG diagnostics and how this can be used to approach glycoprotein biomarkers for more common diseases.

Indexed as

BiomarkersCongenital Disorders of GlycosylationGlycoproteinsHumansMass SpectrometryMolecular Diagnostic TechniquesBiomarkersGlycoproteinsCongenital disorders of glycosylationGlycomicsProtein-specific glycosylationTransferrin

Identifiers

PMID26739145
PMCPMC4891361
OpenAlexW2223989586

What OpenQuestion holds

Textmetadata
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.