文章：

癌细胞的代谢谱

Metabolic profiles of cancer cells

原文发布日期：2004-07-01

DOI: 10.1038/nrc1390

类型: Review Article

开放获取: 否

要点：

1. Metabolomics is the study of the complete metabolic compliment of the cell, organ or organism.
2. The technique involves the combined use of multivariate statistics and an analytical technique such as nuclear magnetic resonance spectroscopy, gas chromatography–mass spectrometry or liquid chromatography–mass spectrometry.
3. A wide range of metabolites have been shown to be useful in distinguishing tumours from healthy tissue and in monitoring cellular activities such as cell-cycle progression or apoptosis.
4. Metabolomic approaches have been used to study the function of hypoxia-inducible factor 1 in tumour growth and shown that this transcription factor is involved in increasing glucose metabolism, rather than inducing angiogenesis, in hepatomas.
5. In vivo studies have shown that magnetic resonance spectroscopy can be used to identify tumour types, especially brain tumours, by their metabolic profiles.
6. As both nuclear magnetic resonance spectroscopy and mass spectrometry are high-throughput technologies, these tools can be used to profile systemic metabolism in tumour diagnosis and prognosis, through analysis of urine and blood plasma.

要点翻译：

1. 代谢组学是对细胞、器官或生物体完整代谢补体的研究。
2. 该技术结合使用多元统计分析方法与核磁共振波谱、气相色谱-质谱联用或液相色谱-质谱联用等分析技术。
3. 大量代谢物已被证明可用于区分肿瘤与健康组织，并监测细胞活动（如细胞周期进程或细胞凋亡）。
4. 代谢组学方法已被用于研究缺氧诱导因子1在肿瘤生长中的功能，结果表明该转录因子在肝癌中主要参与增强葡萄糖代谢，而非诱导血管生成。
5. 体内研究证实，磁共振波谱可通过代谢特征识别肿瘤类型，尤其是脑肿瘤。
6. 由于核磁共振波谱和质谱均属高通量技术，这两种工具可通过分析尿液和血浆，用于肿瘤诊断和预后的系统性代谢分析。

英文摘要：

In the post-genomic era, several profiling tools have been developed to provide a more comprehensive picture of tumour development and progression. The global analysis of metabolites, such as by mass spectrometry and high-resolution 1H nuclear magnetic resonance spectroscopy, can be used to define the metabolic phenotype of cells, tissues or organisms. These 'metabolomic' approaches are providing important information about tumorigenesis, revealing new therapeutic targets and will be an important component of automated diagnosis.

摘要翻译： 

在后基因组时代，人们已开发出多种分析工具，以更全面地描绘肿瘤的发生与进展。通过质谱和高分辨率¹H核磁共振波谱等技术对代谢物进行全局分析，可界定细胞、组织或生物体的代谢表型。这些“代谢组学”方法正为肿瘤发生机制提供重要信息，揭示新的治疗靶点，并将成为自动化诊断的重要组成部分。

原文链接：

Metabolic profiles of cancer cells