Literature DB >> 25773989

In vivo neurometabolic profiling in patients with spinocerebellar ataxia types 1, 2, 3, and 7.

Isaac M Adanyeguh1, Pierre-Gilles Henry, Tra M Nguyen, Daisy Rinaldi, Celine Jauffret, Romain Valabregue, Uzay E Emir, Dinesh K Deelchand, Alexis Brice, Lynn E Eberly, Gülin Öz, Alexandra Durr, Fanny Mochel.   

Abstract

Spinocerebellar ataxias (SCAs) belong to polyglutamine repeat disorders and are characterized by a predominant atrophy of the cerebellum and the pons. Proton magnetic resonance spectroscopy ((1) H MRS) using an optimized semiadiabatic localization by adiabatic selective refocusing (semi-LASER) protocol was performed at 3 T to determine metabolite concentrations in the cerebellar vermis and pons of a cohort of patients with SCA1 (n=16), SCA2 (n=12), SCA3 (n=21), and SCA7 (n=12) and healthy controls (n=33). Compared with controls, patients displayed lower total N-acetylaspartate and, to a lesser extent, lower glutamate, reflecting neuronal loss/dysfunction, whereas the glial marker, myoinositol (myo-Ins), was elevated. Patients also showed higher total creatine as reported in Huntington's disease, another polyglutamine repeat disorder. A strong correlation was found between the Scale for the Assessment and Rating of Ataxia and the neurometabolites in both affected regions of patients. Principal component analyses confirmed that neuronal metabolites (total N-acetylaspartate and glutamate) were inversely correlated in the vermis and the pons to glial (myo-Ins) and energetic (total creatine) metabolites, as well as to disease severity (motor scales). Neurochemical plots with selected metabolites also allowed the separation of SCA2 and SCA3 from controls. The neurometabolic profiles detected in patients underlie cell-specific changes in neuronal and astrocytic compartments that cannot be assessed by other neuroimaging modalities. The inverse correlation between metabolites from these two compartments suggests a metabolic attempt to compensate for neuronal damage in SCAs. Because these biomarkers reflect dynamic aspects of cellular metabolism, they are good candidates for proof-of-concept therapeutic trials.
© 2015 International Parkinson and Movement Disorder Society. © 2015 International Parkinson and Movement Disorder Society.

Entities:  

Keywords:  NMR spectroscopy; biomarker; movement disorders; neurochemical profile; spinocerebellar ataxia

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Year:  2015        PMID: 25773989      PMCID: PMC4397159          DOI: 10.1002/mds.26181

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  36 in total

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3.  Protective effect of the energy precursor creatine against toxicity of glutamate and beta-amyloid in rat hippocampal neurons.

Authors:  G J Brewer; T W Wallimann
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Review 4.  In vivo quantitation of metabolite concentrations in the brain by means of proton MRS.

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Journal:  NMR Biomed       Date:  1995-06       Impact factor: 4.044

5.  Proton MR spectroscopy of the cerebellum and pons in patients with degenerative ataxia.

Authors:  Mario Mascalchi; Mirco Cosottini; Francesco Lolli; Fabrizio Salvi; Carlo Tessa; Marco Macucci; Michela Tosetti; Rosaria Plasmati; Alessandra Ferlini; Carlo Alberto Tassinari; Natale Villari
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7.  Multinuclear NMR studies on the energy metabolism of glial and neuronal cells.

Authors:  A Brand; C Richter-Landsberg; D Leibfritz
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8.  Brainstem neurodegeneration correlates with clinical dysfunction in SCA1 but not in SCA2. A quantitative volumetric, diffusion and proton spectroscopy MR study.

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Journal:  Brain       Date:  2004-07-07       Impact factor: 13.501

Review 9.  Characterization of ataxias with magnetic resonance imaging and spectroscopy.

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10.  Estimation of metabolite concentrations from localized in vivo proton NMR spectra.

Authors:  S W Provencher
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  36 in total

1.  Expanded neurochemical profile in the early stage of Huntington disease using proton magnetic resonance spectroscopy.

Authors:  Isaac M Adanyeguh; Marie-Lorraine Monin; Daisy Rinaldi; Léorah Freeman; Alexandra Durr; Stéphane Lehéricy; Pierre-Gilles Henry; Fanny Mochel
Journal:  NMR Biomed       Date:  2018-01-09       Impact factor: 4.044

2.  In Vivo Molecular Signatures of Cerebellar Pathology in Spinocerebellar Ataxia Type 3.

Authors:  Maria do Carmo Costa; Maria Radzwion; Hayley S McLoughlin; Naila S Ashraf; Svetlana Fischer; Vikram G Shakkottai; Patrícia Maciel; Henry L Paulson; Gülin Öz
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Review 3.  Spinocerebellar ataxias: prospects and challenges for therapy development.

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Journal:  Nat Rev Neurol       Date:  2018-10       Impact factor: 42.937

4.  Neurochemical abnormalities in premanifest and early spinocerebellar ataxias.

Authors:  James M Joers; Dinesh K Deelchand; Tianmeng Lyu; Uzay E Emir; Diane Hutter; Christopher M Gomez; Khalaf O Bushara; Lynn E Eberly; Gülin Öz
Journal:  Ann Neurol       Date:  2018-04-10       Impact factor: 10.422

Review 5.  Quantitative in vivo neurochemical profiling in humans: where are we now?

Authors:  Jessica McKay; Ivan Tkáč
Journal:  Int J Epidemiol       Date:  2016-10-29       Impact factor: 7.196

6.  MR Imaging in Spinocerebellar Ataxias: A Systematic Review.

Authors:  A Klaes; E Reckziegel; M C Franca; T J R Rezende; L M Vedolin; L B Jardim; J A Saute
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Review 7.  Polyglutamine spinocerebellar ataxias - from genes to potential treatments.

Authors:  Henry L Paulson; Vikram G Shakkottai; H Brent Clark; Harry T Orr
Journal:  Nat Rev Neurosci       Date:  2017-08-17       Impact factor: 34.870

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9.  Non-motor and Extracerebellar Features in Spinocerebellar Ataxia Type 2.

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Journal:  Cerebellum       Date:  2017-02       Impact factor: 3.847

10.  Sensitivity of Volumetric Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy to Progression of Spinocerebellar Ataxia Type 1.

Authors:  Dinesh K Deelchand; James M Joers; Adarsh Ravishankar; Tianmeng Lyu; Uzay E Emir; Diane Hutter; Christopher M Gomez; Khalaf O Bushara; Christophe Lenglet; Lynn E Eberly; Gülin Öz
Journal:  Mov Disord Clin Pract       Date:  2019-07-10
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