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

IF 2.1 Q3 NEUROSCIENCES Journal of Huntington's disease Pub Date : 2023-01-01 DOI:10.3233/JHD-220552
Matt Spick, Thomas P M Hancox, Namrata R Chowdhury, Benita Middleton, Debra J Skene, A Jennifer Morton
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引用次数: 1

Abstract

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.

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亨廷顿氏病转基因绵羊(Ovis aries)血浆代谢组学分析揭示进行性昼夜节律失调
背景:代谢异常在亨廷顿舞蹈病(HD)中早已被预测,但仍然缺乏特征。在HD中已经描述了时间生物学失调,可能包括昼夜节律驱动的代谢异常。目的:研究转基因HD羊模型(OVT73)症状前年龄代谢谱。我们的目标是了解代谢组的变化以及与HD相关的潜在代谢物节律变化。方法:采用靶向液相色谱-质谱(LC-MS)代谢组学方法分析5岁和7岁HD转基因母羊和正常(对照)羊血浆中的代谢物。样本在27小时内每小时采集一次。结果数据集通过机器学习和时间生物学分析进行了调查。结果:HD羊和对照羊在两个年龄阶段的代谢谱可以通过机器学习分离。我们发现,与5岁时的对照绵羊相比,HD的代谢物在绝对和节律上都存在差异。与对照羊相比,7岁HD羊样品中紊乱代谢物的数量和顶相(节律峰值的时间)变化幅度均有所增加。在HD绵羊和人类患者中发现的失调代谢物(特别是磷脂酰胆碱、氨基酸、尿素和苏氨酸)有惊人的相似之处。结论:本研究首次对症状前HD大型动物模型代谢和代谢物昼夜节律的变化进行了综合分析。
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来源期刊
CiteScore
4.80
自引率
9.70%
发文量
60
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