Literature DB >> 20669234

31P magnetic resonance spectroscopic imaging with polarisation transfer of phosphomono- and diesters at 3 T in the human brain: relation with age and spatial differences.

J P Wijnen1, T W J Scheenen, D W J Klomp, A Heerschap.   

Abstract

Tissue levels of the compounds phosphocholine (PC), phosphoethanolamine (PE), glycerophosphocholine (GPC) and glycerophosphoethanolamine (GPE) can be studied by in vivo 31P MRS. However, the detection of the signals of these compounds suffers from low sensitivity and contamination by underlying broad resonances of other phosphorylated compounds. Improved sensitivity without this contamination can be achieved with a method for optimal polarisation transfer of 1H to 31P spins in these molecules, called selective refocused insensitive nuclei-enhanced polarisation transfer (sRINEPT). The aim of this study was to implement a three-dimensional magnetic resonance spectroscopic imaging (MRSI) version of sRINEPT on a clinical 3 T magnetic resonance system to obtain spatially resolved relative levels of PC, PE, GPC and GPE in the human brain as a function of age, which could be used as a reference dataset for clinical applications. Good signal-to-noise ratios were obtained from voxels of 17 cm(3) of the parietal and occipital lobes of the brain within a clinically acceptable measurement time of 17 min. Eighteen healthy subjects of different ages (16-70 years) were examined with this method. A strong inverse relation of the PE/GPE and PC/GPC ratios with age was found. Spatial resolution was sufficient to detect differences in metabolite ratios between white and grey matter. Moreover, we showed the feasibility of this method for clinical use in a pilot study of patients with brain tumours. The sRINEPT MRSI technique enables the exploration of phospholipid metabolism in brain diseases with a better sensitivity than was possible with earlier 31P MRS methods.
Copyright © 2010 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 20669234     DOI: 10.1002/nbm.1523

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  16 in total

1.  (1)H- (31)P soft-HSQC pulse sequence specifically for detecting phosphomono- and diesters in biological samples.

Authors:  Xi-an Mao; Bin Jiang; Ling Jiang; Maili Liu
Journal:  Mol Imaging Biol       Date:  2013-06       Impact factor: 3.488

2.  Unveiling a hidden 31 P signal coresonating with extracellular inorganic phosphate by outer-volume-suppression and localized 31 P MRS in the human brain at 7T.

Authors:  Jimin Ren; Ty Shang; A Dean Sherry; Craig R Malloy
Journal:  Magn Reson Med       Date:  2018-02-09       Impact factor: 4.668

Review 3.  Choline metabolism-based molecular diagnosis of cancer: an update.

Authors:  Kristine Glunde; Marie-France Penet; Lu Jiang; Michael A Jacobs; Zaver M Bhujwalla
Journal:  Expert Rev Mol Diagn       Date:  2015-04-28       Impact factor: 5.225

4.  Can Functional Magnetic Resonance Imaging Improve Success Rates in CNS Drug Discovery?

Authors:  David Borsook; Richard Hargreaves; Lino Becerra
Journal:  Expert Opin Drug Discov       Date:  2011-06-01       Impact factor: 6.098

Review 5.  MRS and MRSI guidance in molecular medicine: targeting and monitoring of choline and glucose metabolism in cancer.

Authors:  Kristine Glunde; Lu Jiang; Siver A Moestue; Ingrid S Gribbestad
Journal:  NMR Biomed       Date:  2011-07       Impact factor: 4.044

6.  High-field proton magnetic resonance spectroscopy reveals metabolic effects of normal brain aging.

Authors:  Janna L Harris; Hung-Wen Yeh; Russell H Swerdlow; In-Young Choi; Phil Lee; William M Brooks
Journal:  Neurobiol Aging       Date:  2014-01-23       Impact factor: 4.673

Review 7.  Pathways to Brain Aging and Their Modifiers: Free-Radical-Induced Energetic and Neural Decline in Senescence (FRIENDS) Model - A Mini-Review.

Authors:  Naftali Raz; Ana M Daugherty
Journal:  Gerontology       Date:  2017-09-01       Impact factor: 5.140

8.  A high fat diet alters metabolic and bioenergetic function in the brain: A magnetic resonance spectroscopy study.

Authors:  Kayla Raider; Delin Ma; Janna L Harris; Isabella Fuentes; Robert S Rogers; Joshua L Wheatley; Paige C Geiger; Hung-Wen Yeh; In-Young Choi; William M Brooks; John A Stanford
Journal:  Neurochem Int       Date:  2016-04-26       Impact factor: 3.921

9.  MCT1 Inhibitor AZD3965 Increases Mitochondrial Metabolism, Facilitating Combination Therapy and Noninvasive Magnetic Resonance Spectroscopy.

Authors:  Mounia Beloueche-Babari; Slawomir Wantuch; Teresa Casals Galobart; Markella Koniordou; Harold G Parkes; Vaitha Arunan; Yuen-Li Chung; Thomas R Eykyn; Paul D Smith; Martin O Leach
Journal:  Cancer Res       Date:  2017-09-18       Impact factor: 12.701

10.  Phosphorous Magnetic Resonance Spectroscopy to Detect Regional Differences of Energy and Membrane Metabolism in Naïve Glioblastoma Multiforme.

Authors:  Lisa Maria Walchhofer; Ruth Steiger; Andreas Rietzler; Johannes Kerschbaumer; Christian Franz Freyschlag; Günther Stockhammer; Elke Ruth Gizewski; Astrid Ellen Grams
Journal:  Cancers (Basel)       Date:  2021-05-26       Impact factor: 6.639

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