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首页> 外文期刊>Applied biochemistry and biotechnology, Part A. enzyme engineering and biotechnology >Metabolomic Analysis Using Liquid Chromatography/Mass Spectrometry for Gastric Cancer
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Metabolomic Analysis Using Liquid Chromatography/Mass Spectrometry for Gastric Cancer

机译:液相色谱/质谱法对胃癌的代谢组学分析

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Metabolomics is a post-genomics research field for analysis of low molecular weight compounds in biological samples and has shown great potentials for elucidating complex mechanisms associated with diseases. However, metabolomics studies on gastric cancer (GC), which is the second leading cause of cancer death worldwide, remain scarce, and the molecular mechanisms to metabolomics phenotypes are also still not fully understood. This study reports that the metabolic pathways can be exploited as biomarkers for diagnosis and treatment of GC progression as a case study. Importantly, the urinary metabolites and metabolic patterns were analyzed by high-throughput liquid chromatography mass spectrometry (LC-MS) metabolomics strategy coupled with chemometric evaluation. Sixteen metabolites (nine upregulated and seven downregulated) were differentially expressed and may thus serve as potential urinary biomarkers for human GC. These metabolites were mainly involved in multiple metabolic pathways, including citrate cycle (malic acid, succinic acid, 2-oxoglutarate, citric acid), cyanoamino acid metabolism (glycine, alanine), primary bile acid biosynthesis (glycine, taurine, glycocholic acid), arginine and proline metabolism (urea, l-proline), and fatty acid metabolism (hexadecanoic acid), among others. Network analysis validated close association between these identified metabolites and altered metabolic pathways in a variety of biological processes. These results suggest that urine metabolic profiles have great potential in detecting GC and may aid in understanding its underlying mechanisms. It provides insight into disease pathophysiology and can serve as the basis for developing disease biomarkers and therapeutic interventions for GC diseases.
机译:代谢组学是用于分析生物样品中低分子量化合物的基因组学研究领域,在阐明与疾病相关的复杂机制方面显示出巨大潜力。然而,关于胃癌(GC)的代谢组学研究是世界范围内导致癌症死亡的第二大原因,目前尚缺乏,而且对代谢组学表型的分子机制也仍未完全了解。这项研究报告说,作为案例研究,可以将代谢途径用作诊断和治疗GC进展的生物标志物。重要的是,通过高通量液相色谱质谱(LC-MS)代谢组学策略结合化学计量学分析来分析尿中代谢物和代谢模式。十六种代谢产物(九种上调和七种下调)被差异表达,因此可以作为人类GC的潜在尿液生物标志物。这些代谢物主要参与多种代谢途径,包括柠檬酸循环(苹果酸,琥珀酸,2-氧戊二酸,柠檬酸),氰基氨基酸代谢(甘氨酸,丙氨酸),一次胆汁酸生物合成(甘氨酸,牛磺酸,甘胆酸),精氨酸和脯氨酸代谢(尿素,1-脯氨酸)和脂肪酸代谢(十六烷酸)等。网络分析验证了这些鉴定出的代谢物与各种生物过程中改变的代谢途径之间的密切联系。这些结果表明,尿液代谢状况在检测GC中具有巨大潜力,可能有助于理解其潜在机制。它提供了对疾病病理生理学的洞察力,可以作为开发疾病生物标记物和治疗GC疾病的干预措施的基础。

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