基于液相色谱-质谱技术的代谢组学分析方法新进展

液相色谱-质谱联用技术是代谢组学研究领域的主要技术平台之一,近年来基于液相色谱-质谱联用技术的代谢组学分析方法获得了巨大发展。本文结合本研究组在代谢组学方面的研究成果,综述了近年来液相色谱-质谱联用技术在代谢组学分析方法方面的新进展,并对其发展前景进行了展望。综述引用文献41篇。     

色谱-质谱联用技术在代谢组学中的应用

代谢组学是对生物体受外部刺激所产生的小分子代谢产物的变化或其随时间的变化进行研究的一门学科,以实现对体液、细胞以及组织提取物等复杂的生物样本中所有代谢产物的定性和定量分析为研究目标。色谱-质谱联用技术在代谢组学的研究中已显示出极大的发展潜力。本文主要综述近年来代谢组学研究中涉及的色谱-质谱联用技术及其数据处理方法,重点介绍各种分离技术的特点及其在应用中的关键问题,并对其在代谢组学应用中的未来发展给予展望。     

中药质谱分析方法及应用研究

分别从中药成分分析、活性筛选和代谢组学三方面对质谱技术在中药研究中的应用进展进行了全面综述.在中药成分分析方面,重点介绍了寡糖异构体的分析方法,以及质谱指纹图谱技术在中药成分分析及质量控制中的应用;在活性筛选方面,分别介绍了超滤-质谱、细胞膜色谱-质谱、微透析-质谱、亲和色谱-质谱、强度衰减质谱、修饰琼脂糖珠-质谱和直接分析质谱等技术及其应用;在代谢组学研究方面,对中药治疗肝损伤、肾虚、心肌梗死和糖尿病等疾病方面的研究进展进行了阐述.上述内容充分反映了质谱技术在中药创新性研究中的重要性.     

基于液相色谱-质谱联用技术的代谢组学分析方法研究进展

代谢组学是研究小分子代谢物的有用工具,能够直接反映生命体终端和表型信息,在精准医学和转化医学中发挥着重要作用。色谱-质谱联用技术具有灵敏度高、选择性好、动态范围宽、信息丰富等优点,已成为代谢组学研究的主要技术平台。代谢组学分析方法的创新与进展是代谢组学在各领域广泛应用的重要前提。该文综述了近5年来基于液相色谱-质谱联用技术的代谢组学分析方法取得的成果,并对目前存在的问题及发展前景给予展望。综述引用文献81篇。     

高血压病肝阳上亢证血清代谢指纹图谱研究

根据临床高血压病肝阳上亢证的诊断标准,选择典型病例,以高效液相色谱-质谱联用技术分析高血压病肝阳上亢证患者和健康志愿者的血清成分,采用"中药色谱指纹图谱相似度评价系统"对齐、匹配色谱峰,采用PCA方法进行模式识别,以MS检测标记物分子量。两组高效液相色谱数据可以在得分图实现分类,与健康志愿者作比较,患者机体相关代谢发生显著变化。高效液相色谱质谱联用结合PCA模式识别的代谢组学方法可用于研究复杂条件下机体病理的生理变化,为高血压病肝阳上亢证病证诊断提供科学依据。     

高效液相色谱-质谱联用技术的应用进展

高效液相色谱-质谱联用技术具有高分离能力、高灵敏度、应用范围广和极强的专属性等特点。对高效液相色谱-质谱联用技术在药物分析、食品分析和环境分析等领域的应用,特别是在中草药成分分析、中药指纹图谱研究、药物代谢研究、体内药代动力学研究、西药及中成药成分分析、药物筛选研究等方面的应用进行了综述。     

NEWS

稳定同位素标记-液相色谱-质谱联用技术被广泛应用于代谢组学研究中,它克服了部分化合物内标获取困难的问题,可以实现对非目标性代谢物的定性和定量分析。     

现代质谱及其联用技术在抗癌药物研究中的应用

综述了质谱及其联用技术(如气相色谱-质谱,液相色谱-质谱,毛细管电泳-质谱等)在抗癌药物的分离鉴定、药物代谢产物的研究及药物作用机理方面的应用,总结了其发展潜力。     

短暂性脑缺血的尿液代谢标志物筛选

以筛选短暂性脑缺血(TIA)的早期体内生物标志物为目的,基于高分离度液相色谱-四极杆飞行时间质谱联用技术对双侧颈总动脉闭塞引起的TIA大鼠模型的尿液进行代谢组学研究。筛选并鉴定L-苹果酸、D-葡萄糖醛酸-6,3-内酯、L-苏氨酸、L-缬氨酸、L-古洛糖酸-1,4-内酯、抗坏血酸、磷酸烯醇丙酮酸7种TIA损伤重要的尿液代谢标志物;主要参与机体的抗坏血酸代谢、丙酮酸代谢与支链氨基酸代谢,调节体内的氧化应激、炎症反应与神经保护。本研究运用了高分离度色谱质谱联用技术筛选TIA代谢标记物,为脑卒中的早期诊断与治疗提供了科学依据。     

多维色谱研究的最新进展

1 全二维气相色谱与质谱联用系统的最新进展 2 二维液相色谱优化方法的最新进展 3 集成在微流控芯片上的二维液相色谱-毛细管电泳-电喷雾离子化系统 4 基于二维色谱-质谱的磷脂全分析方法及其在帕金森症代谢组学研究中应用     

Strategy for metabonomics research based on high-performance liquid chromatography and liquid chromatography coupled with tandem mass spectrometry

Metabonomics, the study of metabolites and their roles in various disease states, is a novel methodology arising from the post-genomics era. This methodology has been applied in many fields. Current metabonomic practice has relied on mass spectrometry (MS), gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance (NMR) to analyze metabolites. In this study, a strategy was developed for applying high-performance liquid chromatography (HPLC) and LC-MS-MS to metabonomics research. One of the key problems to be solved in this strategy is to match the peaks between the chromatograms. A peak alignment algorithm has been developed to match the chromatograms before the pattern recognition. As an application example, the strategy described above was applied to metabonomics research on liver diseases, and the false-positive result of live cancer diagnosis from the hepatocirrhosis and hepatitis diseases was effectively reduced to 7.40%. Based on the pattern recognition, several potential biomarkers were found and further identified by the following LC-MS-MS experiments. The structures of eight potential biomarkers were given for distinguishing the liver cancer from the hepatocirrhosis and hepatitis diseases.     

Integrated GC-MS and LC-MS plasma metabonomics analysis of ankylosing spondylitis

Ankylosing spondylitis (AS) is a chronic inflammatory arthritis that predominantly affects the axial skeleton in adolescent patients. The natural history of the disease remains poorly characterized. In this study, we combined GC-MS and LC-MS techniques to evaluate the major metabolic changes in the plasma of AS patients in view of metabonomics. Univariate and multivariate analysis were employed for altered metabolite comparison and pattern recognition. Application of supervised partial least-squares discrminant analysis to either GC-MS or LC-MS data allowed accurate discrimination of AS patients from normal controls, demonstrating its potential diagnostic utilization. In addition, AS patients presented elevated plasma concentrations of proline, glucose, phosphate, urea, glycerol, phenylalanine and homocysteine but reduced levels of phosphocholines, tryptophan and a bipeptide - phenylalanyl-phenylalanine. In the context of their involved metabolic pathways, the identified metabolites were discussed accordingly. This investigation primarily proved that integrated chromatography-mass spectrometry and integrated uni- and multi-variate statistical analysis facilitated metabonomics to be a more promising tool in disease research.     

Metabonomics Study of TCM Formula: Qutan Huayu Tongmai Granule as an Effective Treatment for Atherosclerosis in Mini-Pigs

To investigate the effects of QuTan HuaYu TongMai granule (QHTG) on the perturbed metabolism of atherosclerosis mini-pig model, a serum metabonomics method based on Liquid chromatography/mass spectrometry was developed. Principal component analysis and partial least squares-discriminate analysis models were established for the metabonomics analysis. The effect of high dose QHTG group is equivalent with those of positive drugs group in PCA score plots. Some significantly changed metabolites, including lyso-PCs, metabolites of vitamin D₃ and fatty acids were found to be reasonable in explaining the anti-atherosclerosis mechanism of QHTG. Metabonomic approach is helpful to further understand the pathophysiology of atherosclerosis in mini-pigs and the therapeutic mechanism of QHTG. Our work also indicated that the LC–MS based metabonomics method is a potential tool for performing intervention and mechanism research of traditional Chinese medicine (TCM).

     

环境中手性污染物对映体分析方法的研究进展

手性污染物对映体尽管具有相似的物理化学性质,但在环境中的吸附、转移、降解等过程往往存在一定差异。生态安全问题与人类健康密切相关,因此,对手性环境污染物进行对映体水平上的分离分析是十分重要的研究课题。目前,国内外对环境中的手性污染物已开展了相关研究,然而全面评述相关分析测定方法的新进展鲜有报道。本文主要对环境中手性污染物的种类以及近5年环境中手性污染物的分析检测技术如液相色谱-质谱联用法、气相色谱-质谱联用法、毛细管电泳法、超临界流体色谱-质谱联用法等进行了归纳、综述和展望,为后续手性污染物的分析检测提供依据和参考。     

细胞代谢组学用于羽扇豆醇干预人乳腺癌细胞MCF-7的机理探究

应用基于气相色谱-质谱联用（GC-MS）的代谢组学方法结合细胞周期实验,研究羽扇豆醇体外抑制人乳腺癌细胞MCF-7增殖的作用机理。代谢组学的研究结果表明：通过正交偏最小方差判别分析（OPLS-DA）可以很好地区分羽扇豆醇作用的MCF-7细胞代谢谱与对照组细胞代谢谱,模型参数为：R²Ycum=0.988,Q²Ycum=0.964。VIP（variable importance in the projection）值大于1的差异代谢物进一步用t检验进行单位分析,选择t<0.05（VIP>1）的代谢物作为羽扇豆醇作用组的生物标志物,得到琥珀酸、磷酸、亮氨酸、异亮氨酸等11种代谢差异物。结合羽扇豆醇将细胞周期抑制在G1期这一现象,推测羽扇豆醇可能是主要抑制了三羧酸循环中的琥珀酰辅酶A的生成和底物磷酸化生成ATP的反应来抑制MCF-7细胞的增殖。本实验从代谢组学角度为乳腺癌抗肿瘤机制提供新的线索。     

中药质量控制的研究策略和色谱技术

综述了色谱技术作为现代高效分离分析技术在中药药效物质基础研究和中药质量控制中的重要作用。提出中药药效物质组学研究策略,以实现中药药效物质基础与作用机理研究的一体化,进而从深层次揭示和全面控制中药的内在质量。论述结果表明,现代色谱及其联用技术是中药质量研究的重要技术平台之一。     

Strategy and Chromatographic Technology of Quality Control for Traditional Chinese Medicines

The application of chromatography, a modern technology, for highly efficient separation and analysis in the research of therapeutic basis matter and quality control of traditional Chinese medicines (TCM), is summarized. A new strategy with metabonomics is put forth to achieve integral study on the therapeutic basis matter and the action mechanism of TCM and to reveal and control the comprehensive quality of TCM. The result shows that modern chromatography and hyphenated techniques are one of the important technique platforms in the quality control of TCM.