title: Huntington disease patients and transgenic mice have similar pro-catabolic serum metabolite profiles.
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.
authors.affiliation: Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Addenbrooke's Hospital, UK.
authors.forename: Benjamin R
authors.initials: BR
authors.lastname: Underwood
authors.forename: David
authors.initials: D
authors.lastname: Broadhurst
authors.forename: Warwick B
authors.initials: WB
authors.lastname: Dunn
authors.forename: David I
authors.initials: DI
authors.lastname: Ellis
authors.forename: Andrew W
authors.initials: AW
authors.lastname: Michell
authors.forename: Coralie
authors.initials: C
authors.lastname: Vacher
authors.forename: David E
authors.initials: DE
authors.lastname: Mosedale
authors.forename: Douglas B
authors.initials: DB
authors.lastname: Kell
authors.forename: Roger A
authors.initials: RA
authors.lastname: Barker
authors.forename: David J
authors.initials: DJ
authors.lastname: Grainger
authors.forename: David C
authors.initials: DC
authors.lastname: Rubinsztein
mesh_terms: D000328:Adult; D000368:Aged; D000818:Animals; D015415:Biomarkers / Q000097:blood*; D004195:Disease Models, Animal; D018450:Disease Progression; D005260:Female; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods; D006801:Humans; D006816:Huntington Disease / Q000097:blood* / Q000175:diagnosis; D008297:Male; D051379:Mice; D008822:Mice, Transgenic; D008875:Middle Aged; D025341:Principal Component Analysis
chemical_list: D015415:Biomarkers