溃疡性结肠炎代谢组学改变的系统回顾:揭示关键代谢特征和途径。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-03-29 eCollection Date: 2024-01-01 DOI:10.1177/17562848241239580
Meiling Liu, Siyi Guo, Liang Wang
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引用次数: 0

摘要

背景:尽管对溃疡性结肠炎(UC)进行了大量代谢组学研究,但研究结果差异很大,因此确定UC的关键代谢异常具有挑战性:本研究旨在通过分析现有的代谢组学数据,发现溃疡性结肠炎的关键代谢物和代谢通路:设计:系统性综述:我们在数据库(PubMed、Cochrane Library、Embase和Web of Science)和相关研究参考文献中对截至2022年12月28日的UC代谢组学研究进行了全面检索。确定了 UC 患者与对照组之间代谢物的显著差异,然后分析了相关代谢途径:结果:本综述纳入了 78 项研究,确定了 2868 种 UC 患者和对照组之间存在差异的代谢物。这些代谢物主要来自 "脂质和类脂质分子 "和 "有机酸及衍生物 "超类。我们发现 101 个代谢物在同一样本类型的多个数据集中发生了一致的改变,78 个代谢物在不同样本类型中具有共性。其中,62 个代谢物在不同数据集或样本类型中表现出一致的调控趋势。通路分析显示,22 条代谢通路发生了明显改变,其中 6 条通路在不同样本类型中反复富集:本研究阐明了 UC 的关键代谢特征,为该疾病的分子机制和生物标记物的发现提供了见解。未来研究的重点是验证这些发现并探索其临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic review of metabolomic alterations in ulcerative colitis: unveiling key metabolic signatures and pathways.

Background: Despite numerous metabolomic studies on ulcerative colitis (UC), the results have been highly variable, making it challenging to identify key metabolic abnormalities in UC.

Objectives: This study aims to uncover key metabolites and metabolic pathways in UC by analyzing existing metabolomics data.

Design: A systematic review.

Data sources and methods: We conducted a comprehensive search in databases (PubMed, Cochrane Library, Embase, and Web of Science) and relevant study references for metabolomic research on UC up to 28 December 2022. Significant metabolite differences between UC patients and controls were identified, followed by an analysis of relevant metabolic pathways.

Results: This review incorporated 78 studies, identifying 2868 differentially expressed metabolites between UC patients and controls. The metabolites were predominantly from 'lipids and lipid-like molecules' and 'organic acids and derivatives' superclasses. We found 101 metabolites consistently altered in multiple datasets within the same sample type and 78 metabolites common across different sample types. Of these, 62 metabolites exhibited consistent regulatory trends across various datasets or sample types. Pathway analysis revealed 22 significantly altered metabolic pathways, with 6 pathways being recurrently enriched across different sample types.

Conclusion: This study elucidates key metabolic characteristics in UC, offering insights into molecular mechanisms and biomarker discovery for the disease. Future research could focus on validating these findings and exploring their clinical applications.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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