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通过高分辨率质谱法检测到的亨廷顿舞蹈症新型代谢物生物标志物

Novel Metabolite Biomarkers of Huntington's Disease As Detected by High-Resolution Mass Spectrometry.

作者信息

Graham Stewart F, Kumar Praveen, Bahado-Singh Ray O, Robinson Andrew, Mann David, Green Brian D

机构信息

Beaumont Health System, Beaumont Research Institute , 3811 West 13 Mile Road, Royal Oak, Michigan 48073, United States.

Institute of Brain Behavior and Mental Health, University of Manchester , Salford M6 8HD, United Kingdom.

出版信息

J Proteome Res. 2016 May 6;15(5):1592-601. doi: 10.1021/acs.jproteome.6b00049. Epub 2016 Mar 28.

Abstract

Huntington's disease (HD) is a fatal autosomal-dominant neurodegenerative disorder that affects approximately 3-10 people per 100 000 in the Western world. The median age of onset is 40 years, with death typically following 15-20 years later. In this study, we biochemically profiled post-mortem frontal lobe and striatum from HD sufferers (n = 14) and compared their profiles with controls (n = 14). LC-LTQ-Orbitrap-MS detected a total of 5579 and 5880 features for frontal lobe and striatum, respectively. An ROC curve combining two spectral features from frontal lobe had an AUC value of 0.916 (0.794 to 1.000) and following statistical cross-validation had an 83% predictive accuracy for HD. Similarly, two striatum biomarkers gave an ROC AUC of 0.935 (0.806 to 1.000) and after statistical cross-validation predicted HD with 91.8% accuracy. A range of metabolite disturbances were evident including but-2-enoic acid and uric acid, which were altered in both frontal lobe and striatum. A total of seven biochemical pathways (three in frontal lobe and four in striatum) were significantly altered as a result of HD. This study highlights the utility of high-resolution metabolomics for the study of HD. Further characterization of the brain metabolome could lead to the identification of new biomarkers and novel treatment strategies for HD.

摘要

亨廷顿舞蹈症(HD)是一种致命的常染色体显性神经退行性疾病,在西方世界,每10万人中约有3至10人受其影响。发病的中位年龄为40岁,通常在15至20年后死亡。在本研究中,我们对HD患者(n = 14)的额叶和纹状体进行了死后生化分析,并将其分析结果与对照组(n = 14)进行了比较。液相色谱-线性离子阱-轨道阱质谱(LC-LTQ-Orbitrap-MS)分别在额叶和纹状体中检测到了5579个和5880个特征峰。结合额叶两个光谱特征的ROC曲线的AUC值为0.916(0.794至1.000),经过统计交叉验证后,对HD的预测准确率为83%。同样,两个纹状体生物标志物的ROC曲线AUC值为0.935(0.806至1.000),经过统计交叉验证后,预测HD的准确率为91.8%。一系列代谢物紊乱现象明显,包括巴豆酸和尿酸,它们在额叶和纹状体中均发生了变化。由于HD,共有7条生化途径(额叶3条,纹状体4条)发生了显著改变。本研究突出了高分辨率代谢组学在HD研究中的实用性。对脑代谢组的进一步表征可能会带来HD新生物标志物的鉴定和新治疗策略的发现。

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