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基于液相色谱-串联质谱联用的高通量代谢组学分析发现非小细胞肺癌的潜在治疗靶点

Discovery of potential therapeutic targets for non-small cell lung cancer using high-throughput metabolomics analysis based on liquid chromatography coupled with tandem mass spectrometry.

作者信息

Xu Hong-Dan, Luo Wen, Lin Yuanlong, Zhang Jiawen, Zhang Lijuan, Zhang Wei, Huang Shu-Ming

机构信息

College of Jiamusi, Heilongjiang University of Chinese Medicine Jiamusi 154007 China.

Department of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University Harbin 150081 China

出版信息

RSC Adv. 2019 Apr 8;9(19):10905-10913. doi: 10.1039/c9ra00987f. eCollection 2019 Apr 3.

Abstract

Lung cancer is a severe health problem and threatens a patient's quality of life. The metabolites present in biological systems are expected to be key mediators and the changes in these metabolites play an important role in promoting health. Metabolomics can unravel the global metabolic changes and identify significant biological pathways involved in disease development. However, the role of metabolites in lung cancer is still largely unknown. In the present study, we developed a liquid chromatography coupled with tandem mass spectrometry method for biomarker discovery and identification of non-small cell lung cancer (NSCLC) from metabolomics data sets and aimed to investigate the metabolic profiles of NSCLC samples to identify potential disease biomarkers and to reveal the pathological mechanism. After cell metabolite extraction, the metabolic changes in NSCLC cells were characterized and targeted metabolite analysis was adopted to offer a novel opportunity to probe into the relationship between differentially regulated cell metabolites and NSCLC. Quantitative analysis of key enzymes in the disturbed pathways by proteomics was employed to verify metabolomic pathway changes. A total of 13 specific biomarkers were identified in NSCLC cells related with metabolic disturbance of NSCLC morbidity, which were involved in 4 vital pathways, namely glycine, serine and threonine metabolism, aminoacyl-tRNA biosynthesis, tyrosine metabolism and sphingolipid metabolism. The proteomics analysis illustrated the obvious fluctuation of the expression of the key enzymes in these pathways, including the downregulation of 3-phosphoglycerate dehydrogenase, phosphoserine phosphatase, tyrosinase and argininosuccinic acid catenase. NSCLC occurrence is mainly related to amino acid and fatty acid metabolic alteration. These findings highlight that the metabolome can provide information on the molecular profiles of cells, which can aid in investigating the metabolite changes to reveal the pathological mechanism.

摘要

肺癌是一个严重的健康问题,威胁着患者的生活质量。生物系统中存在的代谢物有望成为关键介质,这些代谢物的变化在促进健康方面发挥着重要作用。代谢组学可以揭示全球代谢变化,并识别参与疾病发展的重要生物途径。然而,代谢物在肺癌中的作用仍 largely 未知。在本研究中,我们开发了一种液相色谱-串联质谱法,用于从代谢组学数据集中发现和鉴定非小细胞肺癌(NSCLC)的生物标志物,旨在研究 NSCLC 样本的代谢谱,以识别潜在的疾病生物标志物并揭示病理机制。细胞代谢物提取后,对 NSCLC 细胞中的代谢变化进行了表征,并采用靶向代谢物分析,为探究差异调节的细胞代谢物与 NSCLC 之间的关系提供了新机会。通过蛋白质组学对受干扰途径中的关键酶进行定量分析,以验证代谢组学途径的变化。在 NSCLC 细胞中总共鉴定出 13 种与 NSCLC 发病的代谢紊乱相关的特异性生物标志物,它们涉及 4 条重要途径,即甘氨酸、丝氨酸和苏氨酸代谢、氨酰-tRNA 生物合成、酪氨酸代谢和鞘脂代谢。蛋白质组学分析表明这些途径中关键酶的表达存在明显波动,包括 3-磷酸甘油酸脱氢酶、磷酸丝氨酸磷酸酶、酪氨酸酶和精氨琥珀酸链酶的下调。NSCLC 的发生主要与氨基酸和脂肪酸代谢改变有关。这些发现突出表明,代谢组可以提供细胞分子谱的信息,有助于研究代谢物变化以揭示病理机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7456/9062476/8ff8773c9761/c9ra00987f-f1.jpg

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