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Fillmer, Ariane, Hock, Andreas, Cameron, Donnie 
ORCID: https://orcid.org/0000-0001-9841-6909 and Henning, Anke
(2017)
Non-water-suppressed 1H MR spectroscopy with orientational prior knowledge shows potential for separating intra- and extramyocellular lipid signals in human myocardium.
Scientific Reports, 7.
ISSN 2045-2322
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Abstract
Conditions such as type II diabetes are linked with elevated lipid levels in the heart, and significantly increased risk of heart failure; however, metabolic processes underlying the development of cardiac disease in type II diabetes are not fully understood. Here we present a non-invasive method for in vivo investigation of cardiac lipid metabolism: namely, IVS-McPRESS. This technique uses metabolite-cycled, non-water suppressed 1H cardiac magnetic resonance spectroscopy with prospective and retrospective motion correction. High-quality IVS-McPRESS data acquired from healthy volunteers allowed us to investigate the frequency shift of extramyocellular lipid signals, which depends on the myocardial fibre orientation. Assuming consistent voxel positioning relative to myofibres, the myofibre angle with the magnetic field was derived from the voxel orientation. For separation and individual analysis of intra- and extramyocellular lipid signals, the angle myocardial fibres in the spectroscopy voxel take with the magnetic field should be within ±24.5°. Metabolite and lipid concentrations were analysed with respect to BMI. Significant correlations between BMI and unsaturated fatty acids in intramyocellular lipids, and methylene groups in extramyocellular lipids were found. The proposed IVS-McPRESS technique enables non-invasive investigation of cardiac lipid metabolism and may thus be a useful tool to study healthy and pathological conditions.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Cardiovascular and Metabolic Health Faculty of Medicine and Health Sciences > Research Centres > Population Health |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 22 Dec 2017 06:08 |
| Last Modified: | 31 Jan 2024 02:16 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/65810 |
| DOI: | 10.1038/s41598-017-16318-0 |
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