Department of Biomedical Sciences, University of Cagliari, Sardinia, Italy.
Department of Life and Environmental Sciences, University of Cagliari, Sardinia, Italy.
Inflamm Bowel Dis. 2021 Jul 27;27(8):1335-1345. doi: 10.1093/ibd/izab012.
Inflammatory bowel diseases (IBD) are chronic inflammatory disorders of the gastrointestinal tract, with periods of latency alternating with phases of exacerbation, and include 2 forms: Crohn disease (CD) and ulcerative colitis (UC). Although the etiology of IBD is still unclear, the identification and understanding of pathophysiological mechanisms underlying IBD could reveal newly targeted intestinal alterations and determine therapeutic approaches.
In this study, by using gas chromatography-mass spectrometry, we characterized plasma and biopsies from the metabolomics profiles of patients with IBD compared with those of a control group.
The results showed a different metabolomics profile between patients with CD (n = 50) and patients with UC (n = 82) compared with the control group (n = 51). Multivariate statistical analysis of the identified metabolites in CD and UC showed changes in energetic metabolism, and lactic acid and ornithine in particular were altered in both plasma and colon biopsies. Moreover, metabolic changes were evidenced between the normal ileum and colon tissues. These differences disappeared when we compared the inflamed ileum and colon tissues, suggesting a common metabolism.
This study showed how the metabolomics profile could be a potential tool to identify intestinal alterations associated with IBD and may have application in precision medicine and for better defining the pathogenesis of the disease.
炎症性肠病(IBD)是一种胃肠道慢性炎症性疾病,具有潜伏和加重交替的时期,包括两种形式:克罗恩病(CD)和溃疡性结肠炎(UC)。尽管 IBD 的病因仍不清楚,但对其病理生理机制的识别和理解可以揭示新的靶向肠道改变,并确定治疗方法。
在这项研究中,我们通过气相色谱-质谱联用技术,对 IBD 患者的血浆和活检样本进行代谢组学特征分析,并与对照组进行比较。
结果显示,与对照组(n=51)相比,CD(n=50)和 UC(n=82)患者的代谢组学特征存在差异。对 CD 和 UC 中鉴定出的代谢物进行多变量统计分析显示,能量代谢发生变化,特别是乳酸和鸟氨酸在血浆和结肠活检中均发生改变。此外,在正常回肠和结肠组织中也存在代谢变化。当我们比较炎症性回肠和结肠组织时,这些差异消失了,表明存在共同的代谢。
本研究表明,代谢组学特征可能是一种潜在的工具,可以识别与 IBD 相关的肠道改变,并可能在精准医学和更好地定义疾病发病机制方面具有应用价值。