Guo Junguo, Yan Tingqin, Bi Hongsheng, Xie Xiaofeng, Wang Xingrong, Guo Dadong, Jiang Haiqiang
Eye Institute of Shandong University of TCM, No. 48#, Ying-Xiong-Shan Road, Jinan, 250002, People's Republic of China.
Graefes Arch Clin Exp Ophthalmol. 2014 Jun;252(6):925-34. doi: 10.1007/s00417-014-2619-1. Epub 2014 Apr 8.
The identification of the biomarkers of patients with acute anterior uveitis (AAU) may allow for a less invasive and more accurate diagnosis, as well as serving as a predictor in AAU progression and treatment response. The aim of this study was to identify the potential biomarkers and the metabolic pathways from plasma in patients with AAU.
Both plasma metabolic biomarkers and metabolic pathways in the AAU patients versus healthy volunteers were investigated using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) and a metabonomics approach. The principal component analysis (PCA) was used to separate AAU patients from healthy volunteers as well as to identify the different biomarkers between the two groups. Metabolic compounds were matched to the KEGG, METLIN, and HMDB databases, and metabolic pathways associated with AAU were identified.
The PCA for UPLC-MS data shows that the metabolites in AAU patients were significantly different from those of healthy volunteers. Of the 4,396 total features detected by UPLC-MS, 102 features were significantly different between AAU patients and healthy volunteers according to the variable importance plot (VIP) values (greater than two) of partial least squares discriminate analysis (PLS-DA). Thirty-three metabolic compounds were identified and were considered as potential biomarkers. Meanwhile, ten metabolic pathways were found that were related to the AAU according to the identified biomarkers.
These data suggest that metabolomics study can identify potential metabolites that differ between AAU patients and healthy volunteers. Based on the PCA, PLS-DA, several potential metabolic biomarkers and pathways in AAU patients were found and identified. In addition, the UPLC-MS technique combined with metabonomics could be a suitable systematic biology tool in research in clinical problems in ophthalmology, and can provide further insight into the pathophysiology of AAU.
急性前葡萄膜炎(AAU)患者生物标志物的鉴定有助于实现侵入性较小且更准确的诊断,同时可作为AAU病情进展和治疗反应的预测指标。本研究旨在从AAU患者的血浆中鉴定潜在的生物标志物和代谢途径。
采用超高效液相色谱 - 质谱联用技术(UPLC-MS)和代谢组学方法,研究AAU患者与健康志愿者血浆中的代谢生物标志物和代谢途径。主成分分析(PCA)用于区分AAU患者和健康志愿者,并识别两组之间不同的生物标志物。将代谢化合物与KEGG、METLIN和HMDB数据库进行匹配,确定与AAU相关的代谢途径。
UPLC-MS数据的PCA显示,AAU患者的代谢物与健康志愿者的代谢物有显著差异。在UPLC-MS检测到的4396个总特征中,根据偏最小二乘判别分析(PLS-DA)的变量重要性投影(VIP)值(大于2),AAU患者和健康志愿者之间有102个特征存在显著差异。鉴定出33种代谢化合物,被视为潜在的生物标志物。同时,根据鉴定出的生物标志物,发现了10条与AAU相关的代谢途径。
这些数据表明,代谢组学研究可以识别AAU患者和健康志愿者之间存在差异的潜在代谢物。基于PCA、PLS-DA,发现并鉴定了AAU患者的几种潜在代谢生物标志物和途径。此外,UPLC-MS技术与代谢组学相结合可能是眼科临床问题研究中一种合适的系统生物学工具,可为深入了解AAU的病理生理学提供帮助。