Separation of small metabolites and lipids in spectra from biopsies by diffusion-weighted HR-MAS NMR: a feasibility study.

Détails

Ressource 1Télécharger: Serval_PrePrint_2014_Separation of small metabolites and lipids in spectra from biopsies by diffusion weighted HR MAS NMR.pdf (1679.91 [Ko])
Etat: Public
Version: de l'auteur
Licence: Non spécifiée
ID Serval
serval:BIB_609E7B94DD6D
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Separation of small metabolites and lipids in spectra from biopsies by diffusion-weighted HR-MAS NMR: a feasibility study.
Périodique
Analyst
Auteur(s)
Diserens G., Vermathen M., Precht C., Broskey N.T., Boesch C., Amati F., Dufour J.F., Vermathen P.
ISSN
1364-5528 (Electronic)
ISSN-L
0003-2654
Statut éditorial
Publié
Date de publication
2014
Peer-reviewed
Oui
Volume
140
Numéro
1
Pages
272-279
Langue
anglais
Notes
Publication types: Journal Article
Résumé
High Resolution Magic Angle Spinning (HR-MAS) NMR allows metabolic characterization of biopsies. HR-MAS spectra from tissues of most organs show strong lipid contributions that are overlapping metabolite regions, which hamper metabolite estimation. Metabolite quantification and analysis would benefit from a separation of lipids and small metabolites. Generally, a relaxation filter is used to reduce lipid contributions. However, the strong relaxation filter required to eliminate most of the lipids also reduces the signals for small metabolites. The aim of our study was therefore to investigate different diffusion editing techniques in order to employ diffusion differences for separating lipid and small metabolite contributions in the spectra from different organs for unbiased metabonomic analysis. Thus, 1D and 2D diffusion measurements were performed, and pure lipid spectra that were obtained at strong diffusion weighting (DW) were subtracted from those obtained at low DW, which include both small metabolites and lipids. This subtraction yielded almost lipid free small metabolite spectra from muscle tissue. Further improved separation was obtained by combining a 1D diffusion sequence with a T2-filter, with the subtraction method eliminating residual lipids from the spectra. Similar results obtained for biopsies of different organs suggest that this method is applicable in various tissue types. The elimination of lipids from HR-MAS spectra and the resulting less biased assessment of small metabolites have potential to remove ambiguities in the interpretation of metabonomic results. This is demonstrated in a reproducibility study on biopsies from human muscle.
Pubmed
Web of science
Financement(s)
Fonds national suisse / Carrières / PZ00P3-126339
Fonds national suisse / Carrières / PZ00P3-149398
Création de la notice
02/01/2015 10:25
Dernière modification de la notice
20/01/2020 7:20
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