Centre for Translational Inflammation Research, 1st Floor Research Laboratories, Queen Elizabeth Hospital, University of Birmingham, Birmingham B15 2WB, United Kingdom.
J Neuroimmunol. 2012 Jul 15;248(1-2):48-52. doi: 10.1016/j.jneuroim.2012.01.009. Epub 2012 Feb 16.
Metabolomic analysis has the potential to generate disease-specific metabolite signatures unique to individuals. Autoimmune illnesses, such as inflammatory uveitis, have highlighted the discriminative power of metabolomics by allowing disease sub-classification. Elucidating surrogate markers for neurological disease is particularly important, given the constraints in accessing central nervous system tissue in vivo. Metabolomic analysis, using either (1)H NMR spectroscopy or mass spectroscopy can be performed using biofluids such as urine, blood or cerebrospinal fluid and may permit the identification of disease specific metabolite signatures which may be useful as disease biomarkers. This is particularly relevant to complex diseases such as multiple sclerosis where promising preliminary work has been carried out. Future work in this field may well generate metabolite profiles to monitor disease evolution, prognosticate and guide therapeutic decisions.
代谢组学分析有可能产生特定于个体的疾病特异性代谢特征。自身免疫性疾病，如炎症性葡萄膜炎，通过允许疾病分类，突出了代谢组学的判别能力。鉴于在体内获取中枢神经系统组织的限制，阐明神经疾病的替代标志物尤为重要。代谢组学分析可以使用（1）H NMR 光谱或质谱法，使用生物流体（如尿液、血液或脑脊液）进行，可以识别疾病特异性代谢特征，这些特征可能作为疾病生物标志物有用。这对于多发性硬化症等复杂疾病尤为相关，在这些疾病中已经进行了有希望的初步研究。该领域的未来工作很可能会生成代谢物图谱来监测疾病演变、预测和指导治疗决策。
