Evidence map›Paper›PMID 36510116›Full record

ArticlePharmaceutical research2023

Unambiguous Identification of Glucose-Induced Glycation in mAbs and other Proteins by NMR Spectroscopy.

Jennifer E Moises, Christof Regl, Arthur Hinterholzer, Christian G Huber, Mario Schubert

Abstract read
In one paragraph

Article in Pharmaceutical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Jennifer E MoisesDepartment of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.ORCID http://orcid.org/0000-0001-6227-9076
Christof ReglDepartment of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.ORCID http://orcid.org/0000-0002-7938-4494
Arthur HinterholzerDepartment of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.ORCID http://orcid.org/0000-0003-0006-6547
Christian G HuberDepartment of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria.ORCID http://orcid.org/0000-0001-8358-1880
Mario SchubertDepartment of Biosciences and Medical Biology, University of Salzburg, Hellbrunner Strasse 34, 5020, Salzburg, Austria. mario.schubert@plus.ac.at.ORCID http://orcid.org/0000-0003-0278-4091

Funding

Bundesministerium für Digitalisierung und Wirtschaftsstandort 00000000
6 · The paper itself

Abstract

objectiveGlycation is a non-enzymatic and spontaneous post-translational modification (PTM) generated by the reaction between reducing sugars and primary amine groups within proteins. Because glycation can alter the properties of proteins, it is a critical quality attribute of therapeutic monoclonal antibodies (mAbs) and should therefore be carefully monitored. The most abundant product of glycation is formed by glucose and lysine side chains resulting in fructoselysine after Amadori rearrangement. In proteomics, which routinely uses a combination of chromatography and mass spectrometry to analyze PTMs, there is no straight-forward way to distinguish between glycation products of a reducing monosaccharide and an additional hexose within a glycan, since both lead to a mass difference of 162 Da.

methodsTo verify that the observed mass change is indeed a glycation product, we developed an approach based on 2D NMR spectroscopy spectroscopy and full-length protein samples denatured using high concentrations of deuterated urea.

resultsThe dominating β-pyranose form of the Amadori product shows a characteristic chemical shift correlation pattern in 1H-13C HSQC spectra suited to identify glucose-induced glycation. The same pattern was observed in spectra of a variety of artificially glycated proteins, including two mAbs, as well as natural proteins.

conclusionBased on this unique correlation pattern, 2D NMR spectroscopy can be used to unambiguously identify glucose-induced glycation in any protein of interest. We provide a robust method that is orthogonal to MS-based methods and can also be used for cross-validation.

Indexed as

Antibodies, MonoclonalGlucoseMagnetic Resonance SpectroscopyMaillard ReactionProtein Processing, Post-TranslationalAntibodies, MonoclonalGlucoseAmadori productGlycationMass spectrometryMonoclonal antibodyNMR spectroscopyPost-translational modifications

Identifiers

PMID36510116
PMCPMC10338404

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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.