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网状口腔扁平苔藓的尿液代谢组学特征

Urinary metabolomic signatures in reticular oral lichen planus.

作者信息

Yang Xu-Yan, Li Xu-Zhao, Zhang Shuai-Nan

机构信息

First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin 150040, PR China.

College of Pharmacy, Guizhou University of Traditional Chinese Medicine, Guian new area 550025, PR China.

出版信息

Heliyon. 2020 May 22;6(5):e04041. doi: 10.1016/j.heliyon.2020.e04041. eCollection 2020 May.

Abstract

Oral lichen planus (OLP) is a chronic inflammatory disease. Among all the clinical forms in OLP, reticular type has the highest incidence rate. Previous studies have applied metabolomics to investigate the metabolic changes of oral mucosa and blood samples from reticular OLP patients. Urinary metabolomic signatures is also useful in analyzing the pathological changes of the patients, which was a complement to the previous studies. Through these researches, we may have a more comprehensive understanding of the disease. Metabolic profiles of urinary samples from OLP patients and control subjects were analyzed by liquid chromatography (LC)-mass spectrometry (MS) system. Differentially expressed metabolites were identified via OSI/SMMS software for the pathology analysis. Totally, 30 differentially expressed metabolites were identified. Pathological network showed that these metabolites participated in 8 pathological processes, that is, DNA damage and repair disorder, apoptosis process, inflammatory lesion, oxidative stress injury, carbohydrate metabolism disorder, mood dysfunction, abnormal energy expenditure, and other pathological process. These findings demonstrated that the analysis of human urine metabolome might be conducive to the achievement of the objectives of this study.

摘要

口腔扁平苔藓(OLP)是一种慢性炎症性疾病。在OLP的所有临床类型中,网状型发病率最高。以往研究已应用代谢组学来研究网状OLP患者口腔黏膜和血液样本的代谢变化。尿液代谢组学特征在分析患者病理变化方面也很有用,这是对以往研究的补充。通过这些研究,我们可能对该疾病有更全面的了解。采用液相色谱(LC)-质谱(MS)系统分析OLP患者和对照受试者尿液样本的代谢谱。通过OSI/SMMS软件鉴定差异表达代谢物用于病理分析。共鉴定出30种差异表达代谢物。病理网络显示这些代谢物参与8个病理过程,即DNA损伤与修复紊乱、凋亡过程、炎性病变、氧化应激损伤、碳水化合物代谢紊乱、情绪功能障碍、能量消耗异常及其他病理过程。这些发现表明,对人尿液代谢组的分析可能有助于实现本研究的目标。

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