Ultrafast CEST line scanning as a method to quantify mutarotation kinetics.

CEST quantification Line scanning Lorentzian fit Mutarotation kinetics Ultrafast CEST MRI

Journal

Journal of magnetic resonance (San Diego, Calif. : 1997)
ISSN: 1096-0856
Titre abrégé: J Magn Reson
Pays: United States
ID NLM: 9707935

Informations de publication

Date de publication:
09 2022
Historique:
received: 18 03 2022
revised: 25 06 2022
accepted: 09 07 2022
pubmed: 30 7 2022
medline: 14 9 2022
entrez: 29 7 2022
Statut: ppublish

Résumé

The process of mutarotation of sugars caused by a balanced reaction between their corresponding α and β isomers, has been known for almost 200 years. Still, it remains essential in modern biochemical research, as enzymatic reactions catalyzed by mutarotases are crucial for various pathways in the energy metabolism. In our study a fast magnetic resonance technique based on chemical exchange saturation transfer (CEST) line scanning (LS) was implemented as a method to measure mutarotation kinetics on a 9.4 T small animal MRI scanner. As proof of concept, the isomeric conversion of two hexoses (glucose and galactose) and pentoses (xylose and arabinose) was investigated in an aqueous solution over time. The technique allowed for ultrafast data acquisition without the implementation of complicated encoding schemes and acceleration procedures. Thus, CEST LS provided complete CEST spectra with a frequency step size of 19.6 Hz in less than one minute. For the mutarotation analysis, CEST spectra were acquired over a time duration of four hours and analyzed with four established CEST quantification approaches - based on either asymmetry of CEST spectra or a multi-pool Lorentzian fit. The isomer ratios of the different sugars at equilibrium were determined with an overall accuracy of 94 %, using an adapted 2-side chemical exchange (CE) model. The estimated mutarotation rate constants at 22 °C were in good agreement with conventionally measured reference values, derived from optical and spectroscopic techniques.

Identifiants

pubmed: 35905529
pii: S1090-7807(22)00128-8
doi: 10.1016/j.jmr.2022.107270
pii:
doi:

Substances chimiques

Sugars 0
Water 059QF0KO0R

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

107270

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Daniel Schache (D)

Translational Research Imaging Center, Clinic of Radiology, University of Münster, Münster, Germany. Electronic address: daniel.schache@ukmuenster.de.

Solène Bardin (S)

NeuroSpin, CEA, University Paris-Saclay, Gif-sur-Yvette, France.

Luisa Ciobanu (L)

NeuroSpin, CEA, University Paris-Saclay, Gif-sur-Yvette, France.

Cornelius Faber (C)

Translational Research Imaging Center, Clinic of Radiology, University of Münster, Münster, Germany.

Verena Hoerr (V)

Translational Research Imaging Center, Clinic of Radiology, University of Münster, Münster, Germany. Electronic address: vhoerr@uni-muenster.de.

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Classifications MeSH