INTRODUCTION Manifestations of fatigue range from chronic fatigue up to a severe syndrome and myalgic encephalomyelitis. Fatigue grossly affects the functional status and quality of life of affected individuals, prompting the World Health Organization to recognize it as a chronic non-communicable condition. OBJECTIVES Here, we explore the potential of urinary metabolite information to complement clinical criteria of fatigue, providing an avenue towards an objective measure of fatigue in patients presenting with the full spectrum of fatigue levels. METHODS The experimental group consisted of 578 chronic fatigue female patients. The measurement design was composed of (1) existing clinical fatigue scales, (2) a hepatic detoxification challenge test, and (3) untargeted proton nuclear magnetic resonance (1H-NMR) procedure to generate metabolomics data. Data analysed via an in-house Matlab script that combines functions from a Statistics and a PLS Toolbox. RESULTS Multivariate analysis of the original 459 profiled 1H-NMR bins for the low (control) and high (patient) fatigue groups indicated complete separation following the detoxification experimental challenge. Important bins identified from the 1H-NMR spectra provided quantitative metabolite information on the detoxification challenge for the fatigue groups. CONCLUSIONS Untargeted 1H-NMR metabolomics proved its applicability as a global profiling tool to reveal the impact of toxicological interventions in chronic fatigue patients. No clear potential biomarker emerged from this study, but the quantitative profile of the phase II biotransformation products provide a practical visible effect directing to up-regulation of crucial phase II enzyme systems in the high fatigue group in response to a high xenobiotic-load.

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表征慢性疲劳的实验室方法：代谢组学告诉我们什么？

引言疲劳的表现范围从慢性疲劳到严重的综合症和肌性脑脊髓炎。疲劳严重影响着患病个体的功能状态和生活质量，促使世界卫生组织将其视为慢性非传染性疾病。目的在这里，我们探索尿液代谢物信息补充疲劳的临床标准的潜力，为呈现疲劳水平全谱的患者提供一种客观测量疲劳的途径。方法实验组由578名慢性疲劳女性患者组成。测量设计由（1）现有的临床疲劳量表，（2）肝脏排毒挑战试验，（3）非目标质子核磁共振（1H-NMR）程序以生成代谢组学数据。通过内部Matlab脚本分析的数据，该脚本结合了统计信息和PLS工具箱中的功能。结果对低（对照组）和高（患者）疲劳组的原始459个1H-NMR仓进行了多变量分析，结果表明在排毒实验挑战后，该样品已完全分离。从1H-NMR谱图中识别出的重要垃圾箱提供了有关疲劳组解毒挑战的定量代谢物信息。结论无针对性的1H-NMR代谢组学证明了其作为一种全球概况分析工具的适用性，以揭示毒理学干预措施对慢性疲劳患者的影响。这项研究没有发现潜在的生物标志物，