Metabolomic Analysis of Plasma in Huntington's Disease Transgenic Sheep (ovis Aries) Reveals Progressive Circadian Rhythm Dysregulation.

Matt Spick,Thomas P. M. Hancox, Nmarata R. Chowdhury,Benita Middleton,Debra J. Skene, A. Jennifer Morton

JOURNAL OF HUNTINGTONS DISEASE(2023)

引用 1|浏览24
暂无评分
摘要
BACKGROUND:Metabolic abnormalities have long been predicted in Huntington's disease (HD) but remain poorly characterized. Chronobiological dysregulation has been described in HD and may include abnormalities in circadian-driven metabolism.OBJECTIVE:Here we investigated metabolite profiles in the transgenic sheep model of HD (OVT73) at presymptomatic ages. Our goal was to understand changes to the metabolome as well as potential metabolite rhythm changes associated with HD.METHODS:We used targeted liquid chromatography mass spectrometry (LC-MS) metabolomics to analyze metabolites in plasma samples taken from female HD transgenic and normal (control) sheep aged 5 and 7 years. Samples were taken hourly across a 27-h period. The resulting dataset was investigated by machine learning and chronobiological analysis.RESULTS:The metabolic profiles of HD and control sheep were separable by machine learning at both ages. We found both absolute and rhythmic differences in metabolites in HD compared to control sheep at 5 years of age. An increase in both the number of disturbed metabolites and the magnitude of change of acrophase (the time at which the rhythms peak) was seen in samples from 7-year-old HD compared to control sheep. There were striking similarities between the dysregulated metabolites identified in HD sheep and human patients (notably of phosphatidylcholines, amino acids, urea, and threonine).CONCLUSION:This work provides the first integrated analysis of changes in metabolism and circadian rhythmicity of metabolites in a large animal model of presymptomatic HD.
更多
查看译文
关键词
Huntington's disease,chronobiology,metabolomics,circadian rhythms,mass spectrometry,machine learning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要