Department of Life and Environmental Sciences, University of Cagliari, Cagliari, Italy.
Department of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
Metabolomics. 2018 Oct 10;14(10):140. doi: 10.1007/s11306-018-1439-4.
Inflammatory bowel disease is a group of pathologies characterised by chronic inflammation of the intestine and an unclear aetiology. Its main manifestations are Crohn's disease and ulcerative colitis. Currently, biopsies are the most used diagnostic tests for these diseases and metabolomics could represent a less invasive approach to identify biomarkers of disease presence and progression.
The lipid and the polar metabolite profile of plasma samples of patients affected by inflammatory bowel disease have been compared with healthy individuals with the aim to find their metabolomic differences. Also, a selected sub-set of samples was analysed following solid phase extraction to further characterise differences between pathological samples.
A total of 200 plasma samples were analysed using drift tube ion mobility coupled with time of flight mass spectrometry and liquid chromatography for the lipid metabolite profile analysis, while liquid chromatography coupled with triple quadrupole mass spectrometry was used for the polar metabolite profile analysis.
Variations in the lipid profile between inflammatory bowel disease and healthy individuals were highlighted. Phosphatidylcholines, lyso-phosphatidylcholines and fatty acids were significantly changed among pathological samples suggesting changes in phospholipase A and arachidonic acid metabolic pathways. Variations in the levels of cholesteryl esters and glycerophospholipids were also found. Furthermore, a decrease in amino acids levels suggests mucosal damage in inflammatory bowel disease.
Given good statistical results and predictive power of the model produced in our study, metabolomics can be considered as a valid tool to investigate inflammatory bowel disease.
炎症性肠病是一组以肠道慢性炎症为特征且病因不明的疾病。其主要表现为克罗恩病和溃疡性结肠炎。目前,活检是这些疾病最常用的诊断测试,而代谢组学可能代表一种侵入性较小的方法,可以识别疾病存在和进展的生物标志物。
本研究比较了炎症性肠病患者和健康个体的血浆样本中的脂质和极性代谢物谱,旨在寻找它们的代谢组学差异。此外,还对选定的亚组样本进行了固相萃取分析,以进一步分析病理样本之间的差异。
采用漂移管离子淌度-飞行时间质谱和液相色谱法分析 200 份血浆样本的脂质代谢物谱,采用液相色谱-三重四极杆质谱法分析极性代谢物谱。
炎症性肠病患者和健康个体的脂质谱存在差异。病理样本中磷脂酰胆碱、溶血磷脂酰胆碱和脂肪酸显著改变,提示磷脂酶 A 和花生四烯酸代谢途径发生变化。还发现胆固醇酯和甘油磷脂的水平发生了变化。此外,氨基酸水平的降低表明炎症性肠病存在黏膜损伤。
鉴于本研究中生成的模型具有良好的统计结果和预测能力,代谢组学可以被视为研究炎症性肠病的有效工具。