Lee Eun Goo, Yoon Young Cheol, Yoon Jihyun, Lee Seul Ji, Oh Yu-Kyoung, Kwon Sung Won
College of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea.
Biomol Ther (Seoul). 2021 Nov 1;29(6):582-595. doi: 10.4062/biomolther.2021.125.
Researchers have endeavored to identify the etiology of inflammatory bowel diseases, including Crohn's disease and ulcerative colitis. Though the pathogenesis of inflammatory bowel diseases remains unknown, dysregulation of the immune system in the host gastrointestinal tract is believed to be the major causative factor. Omics is a powerful methodological tool that can reveal biochemical information stored in clinical samples. Lipidomics is a subset of omics that explores the lipid classes associated with inflammation. One objective of the present systematic review was to facilitate the identification of biochemical targets for use in future lipidomic studies on inflammatory bowel diseases. The use of high-resolution mass spectrometry to observe alterations in global lipidomics might help elucidate the immunoregulatory mechanisms involved in inflammatory bowel diseases and discover novel biomarkers for them. Assessment of the characteristics of previous clinical trials on inflammatory bowel diseases could help researchers design and establish patient selection and analytical method criteria for future studies on these conditions. In this study, we curated literature exclusively from four databases and extracted lipidomics-related data from literature, considering criteria. This paper suggests that the lipidomics approach toward research in inflammatory bowel diseases can clarify their pathogenesis and identify clinically valuable biomarkers to predict and monitor their progression.
研究人员一直在努力确定包括克罗恩病和溃疡性结肠炎在内的炎症性肠病的病因。尽管炎症性肠病的发病机制尚不清楚,但宿主胃肠道免疫系统的失调被认为是主要致病因素。组学是一种强大的方法工具,能够揭示临床样本中存储的生化信息。脂质组学是组学的一个子集,用于探索与炎症相关的脂质类别。本系统评价的一个目的是促进确定用于未来炎症性肠病脂质组学研究的生化靶点。使用高分辨率质谱观察整体脂质组学的变化可能有助于阐明炎症性肠病涉及的免疫调节机制,并为其发现新的生物标志物。评估先前关于炎症性肠病的临床试验特征,有助于研究人员为未来这些疾病的研究设计并确立患者选择和分析方法标准。在本研究中,我们专门从四个数据库中筛选文献,并根据标准从文献中提取脂质组学相关数据。本文表明,脂质组学方法用于炎症性肠病研究能够阐明其发病机制,并识别具有临床价值的生物标志物以预测和监测其进展。