Evaluating the effect of glycation on lipase activity using boronate affinity chromatography and mass spectrometry.

Boronate affinity chromatography Glycation Lipase Mass spectrometry Structure–function relationship

Journal

Food chemistry
ISSN: 1873-7072
Titre abrégé: Food Chem
Pays: England
ID NLM: 7702639

Informations de publication

Date de publication:
30 Sep 2023
Historique:
received: 12 10 2022
revised: 07 03 2023
accepted: 10 04 2023
medline: 22 5 2023
pubmed: 24 4 2023
entrez: 23 04 2023
Statut: ppublish

Résumé

Protein glycation may occur naturally when reducing sugars and proteins coexist, which is often the case for industrial enzymes. The impact of post-translational modifications on enzyme performance (e.g., stability or function) is often not predictable, highlighting the importance of having appropriate analytical methodologies to monitor the influence of glycation on performance. Here, a boronate affinity chromatography method was developed to enrich glycated species followed by mass spectrometry for structural characterization and activity assays for functional assessment. This approach was applied to a (temperature-stressed) lipase used for food applications revealing that storage at -20 °C and 4 °C resulted in minor glycation (below 9%), whereas storage at 25 °C led to a higher glycation level with up to four sugars per lipase molecule. Remarkably, activity measurements revealed that glycation did not reduce lipase activity or stability. Altogether, this novel strategy is a helpful extension to the current analytical toolbox supporting development of enzyme products.

Identifiants

pubmed: 37087987
pii: S0308-8146(23)00765-3
doi: 10.1016/j.foodchem.2023.136147
pii:
doi:

Substances chimiques

Sugars 0
Lipase EC 3.1.1.3

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

136147

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Co-authors Olaf Schouten, Joost den Hartog, Michiel Akeroyd, Rob van der Hoeven, Wim Bijleveld, Nicolas Abello, and Maurien Olsthoorn are affiliated with Royal DSM, a global company active in health, nutrition, and bioscience.

Auteurs

Guusje van Schaick (G)

Leiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, the Netherlands. Electronic address: g.van_schaick@lumc.nl.

Sanne Pot (S)

Leiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, the Netherlands.

Olaf Schouten (O)

DSM Science & Innovation, Biodata & Translation, Center for Analytical Innovation, Delft, the Netherlands.

Joost den Hartog (J)

DSM Science & Innovation, Biodata & Translation, Center for Analytical Innovation, Delft, the Netherlands.

Michiel Akeroyd (M)

DSM Science & Innovation, Biodata & Translation, Center for Analytical Innovation, Delft, the Netherlands.

Rob van der Hoeven (R)

DSM Science & Innovation, Biodata & Translation, Center for Analytical Innovation, Delft, the Netherlands.

Wim Bijleveld (W)

DSM Science & Innovation, Biodata & Translation, Center for Analytical Innovation, Delft, the Netherlands.

Nicolas Abello (N)

DSM Science & Innovation, Biodata & Translation, Center for Analytical Innovation, Delft, the Netherlands.

Manfred Wuhrer (M)

Leiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, the Netherlands.

Maurien Olsthoorn (M)

DSM Science & Innovation, Biodata & Translation, Center for Analytical Innovation, Delft, the Netherlands.

Elena Dominguez-Vega (E)

Leiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, the Netherlands.

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Classifications MeSH