Singapore Eye Research Institute, Singapore.
J Proteome Res. 2011 Oct 7;10(10):4876-82. doi: 10.1021/pr2004874. Epub 2011 Aug 30.
The tear film overlying the epithelial cells of the eye's surface is vital to visual function, and its composition is reflective of ocular surface health. The ultrasmall volume of tears poses challenges in its analysis, contributing to the limited number of reports on the tear metabolome. In addition, using a standard clinical method of tear collection posed some confounding factors in metabonomic analysis. We sought to establish an analytical platform for the global characterization of human tear metabolites. Following information dependent acquisition (IDA) directed liquid chromatography-tandem mass spectrometry (LC-MS/MS), isotope pattern matched peak mining was performed using Extracted Ion Chromatogram (XIC) manager within the PeakView software. Sixty metabolites representing diverse compound classes were identified in human tears, most of which have not been previously reported. Selected metabolites were verified using pure standards. Unsupervised chemometric analysis showed good separation between tear samples and blanks (PC1 = 87%, R(2) = 0.91, Q(2) = 0.87). The results demonstrated the potential of our platform for untargeted metabonomic studies of eye diseases.
覆盖在眼表面上皮细胞上的泪膜对于视觉功能至关重要，其成分反映了眼表面的健康状况。由于泪液的体积非常小，因此在分析时面临挑战，这导致关于泪液代谢组的报告数量有限。此外，使用标准的临床泪液采集方法在代谢组学分析中存在一些混杂因素。我们试图建立一个用于全面描述人泪代谢产物的分析平台。在进行基于信息依赖性采集（IDA）的液相色谱-串联质谱（LC-MS/MS）分析后，使用 PeakView 软件中的 Extracted Ion Chromatogram（XIC）管理器进行了同位素模式匹配峰提取。在人泪中鉴定出了 60 种代表多种化合物类别的代谢物，其中大多数以前没有报道过。使用纯标准品对选定的代谢物进行了验证。无监督化学计量学分析显示，泪液样本和空白之间有很好的分离（PC1 = 87%，R² = 0.91，Q² = 0.87）。结果表明，我们的平台具有用于眼部疾病非靶向代谢组学研究的潜力。
