Brain metabolite changes in cortical grey and normal‐appearing white matter in clinically early relapsing–remitting multiple sclerosis
While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal‐appearing WM (NAWM) and grey matter (GM) are also involved in the disease process. This study investigated multiple sclerosis disease effects on NAWM and cortic...
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Published in | Brain (London, England : 1878) Vol. 125; no. 10; pp. 2342 - 2352 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Oxford University Press
01.10.2002
Oxford Publishing Limited (England) |
Subjects | |
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Abstract | While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal‐appearing WM (NAWM) and grey matter (GM) are also involved in the disease process. This study investigated multiple sclerosis disease effects on NAWM and cortical GM (CGM) metabolite concentrations, and the relationships between these metabolite concentrations and clinical impairment. Proton magnetic resonance spectroscopic imaging (1H‐MRSI) data acquired using point resolved spectroscopic (PRESS) localization (echo time 30 ms, repetition time 3000 ms, nominal voxel volume 2.3 ml) from 27 relapsing–remitting multiple sclerosis and 29 normal control (NC) subjects were processed using LCModel to estimate metabolite concentrations in millimoles per litre. 1H‐MRSI voxel tissue contents were estimated using SPM99 tissue and semi‐automatic lesion segmentations of three‐dimensional fast spoiled gradient recall scans acquired during the same scanning session. NAWM and CGM metabolite concentrations estimated were: choline‐containing compounds (Cho); creatine and phosphocreatine (Cr); myo‐inositol (Ins); N‐acetyl‐aspartate plus N‐acetyl‐aspartyl‐glutamate (tNAA); and glutamate plus glutamine (Glx). CGM data came from 24 of the multiple sclerosis (mean age 35.2 years, mean disease duration 1.7 years) and 25 of the NC (mean age 34.9 years) subjects. NAWM data came from 25 of the multiple sclerosis (mean age 35.0 years, mean disease duration 1.7 years) and 28 of the NC (mean age 36.7 years) subjects. Metabolite concentrations were compared between multiple sclerosis and NC subjects using multiple (linear) regression models allowing for age, gender, 1H‐MRSI voxel tissue and CSF contents, and brain parenchymal volume. At a significance level of P < 0.05, CGM Cho, CGM and NAWM tNAA, and CGM Glx were all significantly reduced, and NAWM Ins was significantly elevated. Spearman correlations of multiple sclerosis functional composite scores with tissue metabolite concentrations were significant for the following: CGM Cr (rs = 0.524, P = 0.009), CGM Glx (rs = 0.580, P = 0.003) and NAWM Ins (rs = –0.559, P = 0.004). These results indicate that metabolite changes in NAWM and CGM can be detected early in the clinical course of multiple sclerosis, and that some of these changes relate to clinical status. The correlation of clinical impairment with CGM Cr and Glx but not tNAA suggests that it is more closely associated with neuronal metabolic dysfunction rather than loss in clinically early relapsing–remitting multiple sclerosis. The correlation of clinical impairment with a raised NAWM Ins may indicate that glial proliferation also relates to function at this stage of the disease. |
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AbstractList | While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal-appearing WM (NAWM) and grey matter (GM) are also involved in the disease process. This study investigated multiple sclerosis disease effects on NAWM and cortical GM (CGM) metabolite concentrations, and the relationships between these metabolite concentrations and clinical impairment. Proton magnetic resonance spectroscopic imaging (1H-MRSI) data acquired using point resolved spectroscopic (PRESS) localization (echo time 30 ms, repetition time 3000 ms, nominal voxel volume 2.3 ml) from 27 relapsing-remitting multiple sclerosis and 29 normal control (NC) subjects were processed using LCModel to estimate metabolite concentrations in millimoles per litre. 1H-MRSI voxel tissue contents were estimated using SPM99 tissue and semi-automatic lesion segmentations of three-dimensional fast spoiled gradient recall scans acquired during the same scanning session. NAWM and CGM metabolite concentrations estimated were: choline-containing compounds (Cho); creatine and phosphocreatine (Cr); myo-inositol (Ins); N-acetyl-aspartate plus N-acetyl-aspartyl-glutamate (tNAA); and glutamate plus glutamine (Glx). CGM data came from 24 of the multiple sclerosis (mean age 35.2 years, mean disease duration 1.7 years) and 25 of the NC (mean age 34.9 years) subjects. NAWM data came from 25 of the multiple sclerosis (mean age 35.0 years, mean disease duration 1.7 years) and 28 of the NC (mean age 36.7 years) subjects. Metabolite concentrations were compared between multiple sclerosis and NC subjects using multiple (linear) regression models allowing for age, gender, 1H-MRSI voxel tissue and CSF contents, and brain parenchymal volume. At a significance level of P < 0.05, CGM Cho, CGM and NAWM tNAA, and CGM Glx were all significantly reduced, and NAWM Ins was significantly elevated. Spearman correlations of multiple sclerosis functional composite scores with tissue metabolite concentrations were significant for the following: CGM Cr (rs = 0.524, P = 0.009), CGM Glx (rs = 0.580, P = 0.003) and NAWM Ins (rs = -0.559, P = 0.004). These results indicate that metabolite changes in NAWM and CGM can be detected early in the clinical course of multiple sclerosis, and that some of these changes relate to clinical status. The correlation of clinical impairment with CGM Cr and Glx but not tNAA suggests that it is more closely associated with neuronal metabolic dysfunction rather than loss in clinically early relapsing-remitting multiple sclerosis. The correlation of clinical impairment with a raised NAWM Ins may indicate that glial proliferation also relates to function at this stage of the disease. While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal-appearing WM (NAWM) and grey matter (GM) are also involved in the disease process. This study investigated multiple sclerosis disease effects on NAWM and cortical GM (CGM) metabolite concentrations, and the relationships between these metabolite concentrations and clinical impairment. Proton magnetic resonance spectroscopic imaging ((1)H-MRSI) data acquired using point resolved spectroscopic (PRESS) localization (echo time 30 ms, repetition time 3000 ms, nominal voxel volume 2.3 ml) from 27 relapsing-remitting multiple sclerosis and 29 normal control (NC) subjects were processed using LCModel to estimate metabolite concentrations in millimoles per litre. (1)H-MRSI voxel tissue contents were estimated using SPM99 tissue and semi-automatic lesion segmentations of three-dimensional fast spoiled gradient recall scans acquired during the same scanning session. NAWM and CGM metabolite concentrations estimated were: choline-containing compounds (Cho); creatine and phosphocreatine (Cr); myo-inositol (Ins); N-acetyl-aspartate plus N-acetyl-aspartyl-glutamate (tNAA); and glutamate plus glutamine (Glx). CGM data came from 24 of the multiple sclerosis (mean age 35.2 years, mean disease duration 1.7 years) and 25 of the NC (mean age 34.9 years) subjects. NAWM data came from 25 of the multiple sclerosis (mean age 35.0 years, mean disease duration 1.7 years) and 28 of the NC (mean age 36.7 years) subjects. Metabolite concentrations were compared between multiple sclerosis and NC subjects using multiple (linear) regression models allowing for age, gender, (1)H-MRSI voxel tissue and CSF contents, and brain parenchymal volume. At a significance level of P < 0.05, CGM Cho, CGM and NAWM tNAA, and CGM Glx were all significantly reduced, and NAWM Ins was significantly elevated. Spearman correlations of multiple sclerosis functional composite scores with tissue metabolite concentrations were significant for the following: CGM Cr (r(s) = 0.524, P = 0.009), CGM Glx (r(s) = 0.580, P = 0.003) and NAWM Ins (r(s) = -0.559, P = 0.004). These results indicate that metabolite changes in NAWM and CGM can be detected early in the clinical course of multiple sclerosis, and that some of these changes relate to clinical status. The correlation of clinical impairment with CGM Cr and Glx but not tNAA suggests that it is more closely associated with neuronal metabolic dysfunction rather than loss in clinically early relapsing-remitting multiple sclerosis. The correlation of clinical impairment with a raised NAWM Ins may indicate that glial proliferation also relates to function at this stage of the disease.While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal-appearing WM (NAWM) and grey matter (GM) are also involved in the disease process. This study investigated multiple sclerosis disease effects on NAWM and cortical GM (CGM) metabolite concentrations, and the relationships between these metabolite concentrations and clinical impairment. Proton magnetic resonance spectroscopic imaging ((1)H-MRSI) data acquired using point resolved spectroscopic (PRESS) localization (echo time 30 ms, repetition time 3000 ms, nominal voxel volume 2.3 ml) from 27 relapsing-remitting multiple sclerosis and 29 normal control (NC) subjects were processed using LCModel to estimate metabolite concentrations in millimoles per litre. (1)H-MRSI voxel tissue contents were estimated using SPM99 tissue and semi-automatic lesion segmentations of three-dimensional fast spoiled gradient recall scans acquired during the same scanning session. NAWM and CGM metabolite concentrations estimated were: choline-containing compounds (Cho); creatine and phosphocreatine (Cr); myo-inositol (Ins); N-acetyl-aspartate plus N-acetyl-aspartyl-glutamate (tNAA); and glutamate plus glutamine (Glx). CGM data came from 24 of the multiple sclerosis (mean age 35.2 years, mean disease duration 1.7 years) and 25 of the NC (mean age 34.9 years) subjects. NAWM data came from 25 of the multiple sclerosis (mean age 35.0 years, mean disease duration 1.7 years) and 28 of the NC (mean age 36.7 years) subjects. Metabolite concentrations were compared between multiple sclerosis and NC subjects using multiple (linear) regression models allowing for age, gender, (1)H-MRSI voxel tissue and CSF contents, and brain parenchymal volume. At a significance level of P < 0.05, CGM Cho, CGM and NAWM tNAA, and CGM Glx were all significantly reduced, and NAWM Ins was significantly elevated. Spearman correlations of multiple sclerosis functional composite scores with tissue metabolite concentrations were significant for the following: CGM Cr (r(s) = 0.524, P = 0.009), CGM Glx (r(s) = 0.580, P = 0.003) and NAWM Ins (r(s) = -0.559, P = 0.004). These results indicate that metabolite changes in NAWM and CGM can be detected early in the clinical course of multiple sclerosis, and that some of these changes relate to clinical status. The correlation of clinical impairment with CGM Cr and Glx but not tNAA suggests that it is more closely associated with neuronal metabolic dysfunction rather than loss in clinically early relapsing-remitting multiple sclerosis. The correlation of clinical impairment with a raised NAWM Ins may indicate that glial proliferation also relates to function at this stage of the disease. While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal-appearing WM (NAWM) and grey matter (GM) are also involved in the disease process. This study investigated multiple sclerosis disease effects on NAWM and cortical GM (CGM) metabolite concentrations, and the relationships between these metabolite concentrations and clinical impairment. Proton magnetic resonance spectroscopic imaging ((1)H-MRSI) data acquired using point resolved spectroscopic (PRESS) localization (echo time 30 ms, repetition time 3000 ms, nominal voxel volume 2.3 ml) from 27 relapsing-remitting multiple sclerosis and 29 normal control (NC) subjects were processed using LCModel to estimate metabolite concentrations in millimoles per litre. (1)H-MRSI voxel tissue contents were estimated using SPM99 tissue and semi-automatic lesion segmentations of three-dimensional fast spoiled gradient recall scans acquired during the same scanning session. NAWM and CGM metabolite concentrations estimated were: choline-containing compounds (Cho); creatine and phosphocreatine (Cr); myo-inositol (Ins); N-acetyl-aspartate plus N-acetyl-aspartyl-glutamate (tNAA); and glutamate plus glutamine (Glx). CGM data came from 24 of the multiple sclerosis (mean age 35.2 years, mean disease duration 1.7 years) and 25 of the NC (mean age 34.9 years) subjects. NAWM data came from 25 of the multiple sclerosis (mean age 35.0 years, mean disease duration 1.7 years) and 28 of the NC (mean age 36.7 years) subjects. Metabolite concentrations were compared between multiple sclerosis and NC subjects using multiple (linear) regression models allowing for age, gender, (1)H-MRSI voxel tissue and CSF contents, and brain parenchymal volume. At a significance level of P < 0.05, CGM Cho, CGM and NAWM tNAA, and CGM Glx were all significantly reduced, and NAWM Ins was significantly elevated. Spearman correlations of multiple sclerosis functional composite scores with tissue metabolite concentrations were significant for the following: CGM Cr (r(s) = 0.524, P = 0.009), CGM Glx (r(s) = 0.580, P = 0.003) and NAWM Ins (r(s) = -0.559, P = 0.004). These results indicate that metabolite changes in NAWM and CGM can be detected early in the clinical course of multiple sclerosis, and that some of these changes relate to clinical status. The correlation of clinical impairment with CGM Cr and Glx but not tNAA suggests that it is more closely associated with neuronal metabolic dysfunction rather than loss in clinically early relapsing-remitting multiple sclerosis. The correlation of clinical impairment with a raised NAWM Ins may indicate that glial proliferation also relates to function at this stage of the disease. While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal-appearing WM (NAWM) and grey matter (GM) are also involved in the disease process. This study investigated multiple sclerosis disease effects on NAWM and cortical GM (CGM) metabolite concentrations, and the relationships between these metabolite concentrations and clinical impairment. Proton magnetic resonance spectroscopic imaging ( Face=+Superscript 1 Face=-Superscript H-MRSI) data acquired using point resolved spectroscopic (PRESS) localization (echo time 30 ms, repetition time 3000 ms, nominal voxel volume 2.3 ml) from 27 relapsing-remitting multiple sclerosis and 29 normal control (NC) subjects were processed using LCModel to estimate metabolite concentrations in millimoles per litre. Face=+Superscript 1 Face=-Superscript H-MRSI voxel tissue contents were estimated using SPM99 tissue and semi-automatic lesion segmentations of three-dimensional fast spoiled gradient recall scans acquired during the same scanning session. NAWM and CGM metabolite concentrations estimated were: choline-containing compounds (Cho); creatine and phosphocreatine (Cr); myo-inositol (Ins); N-acetyl-aspartate plus N-acetyl-aspartyl-glutamate (tNAA); and glutamate plus glutamine (Glx). CGM data came from 24 of the multiple sclerosis (mean age 35.2 years, mean disease duration 1.7 years) and 25 of the NC (mean age 34.9 years) subjects. NAWM data came from 25 of the multiple sclerosis (mean age 35.0 years, mean disease duration 1.7 years) and 28 of the NC (mean age 36.7 years) subjects. Metabolite concentrations were compared between multiple sclerosis and NC subjects using multiple (linear) regression models allowing for age, gender, Face=+Superscript 1 Face=-Superscript H-MRSI voxel tissue and CSF contents, and brain parenchymal volume. At a significance level of P < 0.05, CGM Cho, CGM and NAWM tNAA, and CGM Glx were all significantly reduced, and NAWM Ins was significantly elevated. Spearman correlations of multiple sclerosis functional composite scores with tissue metabolite concentrations were significant for the following: CGM Cr (r Face=+Subscript s Face=-Subscript = 0.524, P = 0.009), CGM Glx (r Face=+Subscript s Face=-Subscript = 0.580, P = 0.003) and NAWM Ins (r Face=+Subscript s Face=-Subscript = -0.559, P = 0.004). These results indicate that metabolite changes in NAWM and CGM can be detected early in the clinical course of multiple sclerosis, and that some of these changes relate to clinical status. The correlation of clinical impairment with CGM Cr and Glx but not tNAA suggests that it is more closely associated with neuronal metabolic dysfunction rather than loss in clinically early relapsing-remitting multiple sclerosis. The correlation of clinical impairment with a raised NAWM Ins may indicate that glial proliferation also relates to function at this stage of the disease. |
Author | Kapeller, P. Thompson, A. J. Chard, D. T. McLean, M. A. Kapoor, R. Miller, D. H. Griffin, C. M. |
Author_xml | – sequence: 1 givenname: D. T. surname: Chard fullname: Chard, D. T. organization: NMR Research Unit, Institute of Neurology, University College London, London – sequence: 2 givenname: C. M. surname: Griffin fullname: Griffin, C. M. organization: NMR Research Unit, Institute of Neurology, University College London, London – sequence: 3 givenname: M. A. surname: McLean fullname: McLean, M. A. organization: MRI Unit, National Society for Epilepsy, Chalfont St Peter, UK and – sequence: 4 givenname: P. surname: Kapeller fullname: Kapeller, P. organization: Department of Neurology, Karl‐Franzens University, Graz, Austria – sequence: 5 givenname: R. surname: Kapoor fullname: Kapoor, R. organization: NMR Research Unit, Institute of Neurology, University College London, London – sequence: 6 givenname: A. J. surname: Thompson fullname: Thompson, A. J. organization: NMR Research Unit, Institute of Neurology, University College London, London – sequence: 7 givenname: D. H. surname: Miller fullname: Miller, D. H. organization: NMR Research Unit, Institute of Neurology, University College London, London |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13927747$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/12244090$$D View this record in MEDLINE/PubMed |
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Keywords | Human Nervous system diseases Relapse Multiple sclerosis Pathophysiology Grey matter NMR spectrometry Metabolism Nuclear magnetic resonance imaging Inflammatory disease Central nervous system disease Medical imagery Remission Brain (vertebrata) |
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Notes | Correspondence to: Professor D. H. Miller, NMR Research Unit, Institute of Neurology, Queen Square, London WC1N 3BG, UK E‐mail: d.miller@ion.ucl.ac.uk local:awf240 istex:8BFEB9F9DD3C9836ABE3EEDF76CFE92AC2884170 ark:/67375/HXZ-8TP60WJL-1 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
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Snippet | While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal‐appearing WM (NAWM)... While much work has concentrated on focal white matter (WM) lesions in multiple sclerosis, there is growing evidence to suggest that normal-appearing WM (NAWM)... |
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SubjectTerms | 1H‐MRSI = proton magnetic resonance spectroscopic imaging 9HPT = nine hole peg test Adult Biological and medical sciences BP = brain parenchymal BPF = brain parenchymal fraction Brain - metabolism CGM = cortical grey matter Cho = choline containing compounds Cohort Studies Cr = creatine and phosphocreatine EDSS = expanded disability status scale Female FSE = fast spin echo Glx = glutamate plus glutamine GM = grey matter GMF = grey matter fraction grey matter Humans Ins = myo‐inositol Linear Models Magnetic Resonance Spectroscopy - statistics & numerical data Male Medical sciences metabolite concentrations Middle Aged MSFC = multiple sclerosis functional composite multiple sclerosis Multiple sclerosis and variants. Guillain barré syndrome and other inflammatory polyneuropathies. Leukoencephalitis Multiple Sclerosis, Relapsing-Remitting - metabolism NAWM = normal‐appearing white matter NC = normal control Neurology normal‐appearing white matter PASAT = paced auditory serial addition test PRESS = point resolved spectroscopic proton magnetic resonance spectroscopic imaging Statistics, Nonparametric TI = total intracranial tNAA = N‐acetyl‐aspartate plus N‐acetyl‐aspartyl‐glutamate TWT = timed walk test WM = white matter WMF = white matter fraction |
Title | Brain metabolite changes in cortical grey and normal‐appearing white matter in clinically early relapsing–remitting multiple sclerosis |
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