Literature DB >> 16464959

Huntington disease patients and transgenic mice have similar pro-catabolic serum metabolite profiles.

Benjamin R Underwood1, David Broadhurst, Warwick B Dunn, David I Ellis, Andrew W Michell, Coralie Vacher, David E Mosedale, Douglas B Kell, Roger A Barker, David J Grainger, David C Rubinsztein.   

Abstract

There has been considerable progress recently towards developing therapeutic strategies for Huntington's disease (HD), with several compounds showing beneficial effects in transgenic mouse models. However, human trials in HD are difficult, costly and time-consuming due to the slow disease course, insidious onset and patient-to-patient variability. Identification of molecular biomarkers associated with disease progression will aid the development of effective therapies by allowing further validation of animal models and by providing hopefully more sensitive measures of disease progression. Here, we apply metabolic profiling by gas chromatography-time-of-flight-mass spectrometry to serum samples from human HD patients and a transgenic mouse model in a hypothesis-generating search for disease biomarkers. We observed clear differences in metabolic profiles between transgenic mice and wild-type littermates, with a trend for similar differences in human patients and control subjects. Thus, the metabolites responsible for distinguishing transgenic mice also comprised a metabolic signature tentatively associated with the human disease. The candidate biomarkers composing this HD-associated metabolic signature in mouse and humans are indicative of a change to a pro-catabolic phenotype in early HD preceding symptom onset, with changes in various markers of fatty acid breakdown (including glycerol and malonate) and also in certain aliphatic amino acids. Our data raise the prospect of a robust molecular definition of progression of HD prior to symptom onset, and if validated in a genuinely prospective fashion these biomarker trajectories could facilitate the development of useful therapies for this disease.

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Year:  2006        PMID: 16464959     DOI: 10.1093/brain/awl027

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  53 in total

1.  Cortical metabolites as biomarkers in the R6/2 model of Huntington's disease.

Authors:  Lori Zacharoff; Ivan Tkac; Qingfeng Song; Chuanning Tang; Patrick J Bolan; Silvia Mangia; Pierre-Gilles Henry; Tongbin Li; Janet M Dubinsky
Journal:  J Cereb Blood Flow Metab       Date:  2011-11-02       Impact factor: 6.200

Review 2.  The application of NMR-based metabonomics in neurological disorders.

Authors:  Elaine Holmes; Tsz M Tsang; Sarah J Tabrizi
Journal:  NeuroRx       Date:  2006-07

3.  Inhibitors of metabolism rescue cell death in Huntington's disease models.

Authors:  Hemant Varma; Richard Cheng; Cindy Voisine; Anne C Hart; Brent R Stockwell
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-28       Impact factor: 11.205

Review 4.  Metabolomics: moving to the clinic.

Authors:  Anders Nordström; Rolf Lewensohn
Journal:  J Neuroimmune Pharmacol       Date:  2009-04-28       Impact factor: 4.147

5.  Relationship of Mediterranean diet and caloric intake to phenoconversion in Huntington disease.

Authors:  Karen Marder; Yian Gu; Shirley Eberly; Caroline M Tanner; Nikolaos Scarmeas; David Oakes; Ira Shoulson
Journal:  JAMA Neurol       Date:  2013-11       Impact factor: 18.302

6.  Targeting Pathogenic Lafora Bodies in Lafora Disease Using an Antibody-Enzyme Fusion.

Authors:  M Kathryn Brewer; Annette Uittenbogaard; Grant L Austin; Dyann M Segvich; Anna DePaoli-Roach; Peter J Roach; John J McCarthy; Zoe R Simmons; Jason A Brandon; Zhengqiu Zhou; Jill Zeller; Lyndsay E A Young; Ramon C Sun; James R Pauly; Nadine M Aziz; Bradley L Hodges; Tracy R McKnight; Dustin D Armstrong; Matthew S Gentry
Journal:  Cell Metab       Date:  2019-07-25       Impact factor: 27.287

7.  Measures of growth in children at risk for Huntington disease.

Authors:  Jessica K Lee; Kathy Mathews; Bradley Schlaggar; Joel Perlmutter; Jane S Paulsen; Eric Epping; Leon Burmeister; Peg Nopoulos
Journal:  Neurology       Date:  2012-07-18       Impact factor: 9.910

8.  Probing the metabolic aberrations underlying mutant huntingtin toxicity in yeast and assessing their degree of preservation in humans and mice.

Authors:  P Matthew Joyner; Ronni M Matheke; Lindsey M Smith; Robert H Cichewicz
Journal:  J Proteome Res       Date:  2010-01       Impact factor: 4.466

9.  Antioxidants can inhibit basal autophagy and enhance neurodegeneration in models of polyglutamine disease.

Authors:  Benjamin R Underwood; Sara Imarisio; Angeleen Fleming; Claudia Rose; Gauri Krishna; Phoebe Heard; Marie Quick; Viktor I Korolchuk; Maurizio Renna; Sovan Sarkar; Moisés García-Arencibia; Cahir J O'Kane; Michael P Murphy; David C Rubinsztein
Journal:  Hum Mol Genet       Date:  2010-06-21       Impact factor: 6.150

10.  Biomarker Discovery and Translation in Metabolomics.

Authors:  G A Nagana Gowda; D Raftery
Journal:  Curr Metabolomics       Date:  2013
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