Literature DB >> 8732181

Characteristic metabolic profiles revealed by 1H NMR spectroscopy for three types of human brain and nervous system tumours.

C L Florian1, N E Preece, K K Bhakoo, S R Williams, M Noble.   

Abstract

Cell culture techniques, high-resolution in vitro 1H NMR spectroscopy, and chromatographic analyses were used to compare the properties of three types of human brain and nervous system tumours. Cell lines were immunocytochemically characterized at all stages in culture with specific antibodies. Intracellular metabolites present in cell extracts were analysed by 1H NMR spectroscopy and by high performance liquid chromatography (HPLC). The spectra from meningiomas, neuroblastomas, and glioblastomas displayed, in addition to similarities-including the presence of signals from leucine, isoleucine, valine, threonine, lactate, acetate, glutamate, choline-containing compounds and glycine-certain distinguishing metabolic features. Spectra from meningiomas featured relatively high signals from alanine. Intense signals from creatine were present in neuroblastoma spectra, while in spectra from glioblastoma they were not detectable. We found statistically significant differences by 1H NMR spectroscopy in the amounts of alanine, glutamate, creatine, phosphorylcholine and threonine among the types of tumours examined. HPLC determinations confirmed that there were also other metabolites specific to a type of tumour, such as taurine, gamma-aminobutyric acid, and serine. We suggest that these findings have potential relevance for the development of non-invasive diagnosis of tumour lineage by 1H NMR spectroscopy in vivo.

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Year:  1995        PMID: 8732181     DOI: 10.1002/nbm.1940080605

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


  20 in total

Review 1.  Metabolic profiles to define the genome: can we hear the phenotypes?

Authors:  Julian L Griffin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-06-29       Impact factor: 6.237

Review 2.  The Cinderella story of metabolic profiling: does metabolomics get to go to the functional genomics ball?

Authors:  Julian L Griffin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-01-29       Impact factor: 6.237

3.  Molecular classification of brain tumor biopsies using solid-state magic angle spinning proton magnetic resonance spectroscopy and robust classifiers.

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Review 4.  Metabolomic signature of brain cancer.

Authors:  Renu Pandey; Laura Caflisch; Alessia Lodi; Andrew J Brenner; Stefano Tiziani
Journal:  Mol Carcinog       Date:  2017-07-17       Impact factor: 4.784

5.  Comparison of in vivo 1H MRS of human brain tumours with 1H HR-MAS spectroscopy of intact biopsy samples in vitro.

Authors:  S J Barton; F A Howe; A M Tomlins; S A Cudlip; J K Nicholson; B A Bell; J R Griffiths
Journal:  MAGMA       Date:  1999-05       Impact factor: 2.310

6.  The metabolomic signature of malignant glioma reflects accelerated anabolic metabolism.

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7.  Regional and developmental variations in metabolite concentration in the rat brain and eye: a study using 1H NMR spectroscopy and high performance liquid chromatography.

Authors:  C L Florian; S R Williams; K K Bhakoo; M D Noble
Journal:  Neurochem Res       Date:  1996-09       Impact factor: 3.996

Review 8.  MR spectroscopy: a powerful tool for investigating brain function and neurological diseases.

Authors:  A P Burlina; T Aureli; F Bracco; F Conti; L Battistin
Journal:  Neurochem Res       Date:  2000-10       Impact factor: 3.996

9.  Ex-vivo HRMAS of adult brain tumours: metabolite quantification and assignment of tumour biomarkers.

Authors:  Alan J Wright; Greg A Fellows; John R Griffiths; M Wilson; B Anthony Bell; Franklyn A Howe
Journal:  Mol Cancer       Date:  2010-03-23       Impact factor: 27.401

10.  Noninvasive estimation of tumour viability in a xenograft model of human neuroblastoma with proton magnetic resonance spectroscopy (1H MRS).

Authors:  M Lindskog; P Kogner; F Ponthan; P Schweinhardt; B Sandstedt; T Heiden; G Helms; C Spenger
Journal:  Br J Cancer       Date:  2003-02-10       Impact factor: 7.640

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