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。     

色谱-质谱联用技术在中药代谢组学研究中的应用

代谢组学是研究生物体被扰动后其代谢产物种类、数量及变化规律的科学,研究理念与中医药理论的整体、动态观念非常一致,目前很多工作已将代谢组学应用于中药药效物质基础、作用机制、复方及配伍规律等研究中,有望推动中医药现代化进程。色谱-质谱联用技术是代谢组学的主要分析技术平台,该文综述了近3年来色谱-质谱联用技术在中药代谢组学研究中的应用,重点介绍不同分离技术的特点及最新进展,并讨论了其存在的问题。     

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。     

基于质谱分析的代谢组学研究进展

质谱分析技术是代谢组学研究的重要技术之一。该文通过近5年来的文献分析,对基于质谱分析的代谢组学研究方法的新进展,包括样品前处理方法、分析检测方法、数据处理方法等,以及近年来代谢组学在疾病诊断、药物研发、营养学、毒理学、运动医学等领域的应用进展,进行了较全面的综述,并对未来的发展趋势进行了展望。     

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.     

汞离子对细胞代谢通路影响的代谢组学

利用超高效液相色谱-四级杆飞行时间质谱（UPLC-Q-TOF-MS）技术对汞离子作用后细胞的代谢组学进行了研究,结合化学计量学方法,对代谢组学数据进行了多维统计分析.结果表明,与非汞离子作用组相比,汞离子作用组存在能量、磷脂、脂肪酸及氨基酸代谢异常,并发现16种有显著差异的生物标记物.进一步探讨了汞中毒的细胞代谢机理及细胞的应激保护.本研究建立的基于UPLC-Q-TOF-MS技术的细胞代谢组学快速分析方法可以对细胞在重金属作用后的代谢物变化进行轮廓分析.     

基于质谱成像和组学分析的环境毒理研究

生物体多器官的空间异质性导致环境污染物在生物体内的毒性分子机制错综复杂。基于传统化学和生物分析的环境毒理学研究,通常将研究对象看作“均一”整体,无法从空间上准确定位污染物及其代谢。以质谱成像和组学分析为基础的技术,同时对污染物、污染物代谢活化途径及其诱导的生物分子进行定性、定量和空间分析,从而确定污染物迁移、生物学效应及其毒性作用的靶器官,是目前最有前景的分析方法之一。本文综述了质谱成像和组学研究策略和特征,介绍了本课题组在相关领域取得的研究进展。同时简单展望了单细胞质谱成像、微流控芯片-质谱成像联合策略等先进技术在环境毒理研究中的潜在应用。     

代谢组学分析技术及其在几类重大疾病研究中的应用

代谢组学正成为生物医学研究领域的新热点。各种代谢组学分析技术各有优缺点,配有低温探头的核磁共振、混合型串联傅里叶变换质谱以及多种联用技术将成为代谢组学研究的关键技术。目前,大量多维代谢组学数据的分析方法和专用软件急待开发完善。代谢组学在肿瘤,老年痴呆症、心血管疾病、肝肾脏类疾病等研究中的应用取得一定进展,疾病代谢组学具有良好的发展前景。     

基于化学衍生化的靶向脂质组学质谱分析研究进展

脂质组学研究与一些重大疾病(如心血管病、糖尿病、肿瘤等)密切相关,是当今生命科学研究的重要领域.质谱分析技术是目前脂质组学研究的核心手段之一.化学衍生化策略可显著提高基于鸟枪法或液相色谱-质谱联用方法的脂质组学分析性能,近年来已有一些相关研究报道.本文重点介绍了基于化学衍生化的质谱分析方法在靶向脂质组学研究中的进展,并提出了问题和展望.希望在衍生化试剂的设计与合成,特别是具有显著优势的稳定同位素标记衍生试剂开发,以及新的衍生化策略和相应的质谱分析方法的开发与应用方面起到一定的推动作用.     

基于液相色谱-质谱联用的代谢组学研究中代谢物的结构鉴定进展

基于液相色谱-质谱联用的代谢组学技术因其高效分离能力和高灵敏检测能力已成为生命科学研究的重要手段,但由于缺乏有效的通用标准谱图库,检测到的大量代谢物的结构难以鉴定。这制约了代谢组学覆盖度的提高和生物标志物的发现,造成化学和生物信息的严重丢失,成为代谢组学发展的主要技术瓶颈。随着质谱仪器及计算机技术的进步,基于大气压电离质谱（API-MS）的代谢物结构鉴定技术飞速发展,本文从质谱仪器、代谢物分子结构式判别、数据库及谱图检索以及计算机辅助谱图解析等方面,对代谢物结构鉴定的最新进展进行了综述。     

Metabolomics approach based on utra-performance liquid chromatography coupled to mass spectrometry with chemometrics methods for high-throughput analysis of metabolite biomarkers to explore the abnormal metabolic pathways associated with myocardial dysfunction

Ultra-performance liquid chromatography/mass spectrometry-based metabolomics can been used for discovery of metabolite biomarkers to explore the metabolic pathway of diseases. Identification of metabolic pathways is key to understanding the pathogenesis and mechanism of disease. Myocardial dysfunction induced by sepsis (SMD) is a severe complication of septic shock and represents major causes of death in intensive care units; however its pathological mechanism is still not clear. In this study, ultrahigh-pressure liquid chromatography with mass spectrometry-based metabolomics with chemometrics anaylsis and multivariate pattern recognition analysis were used to detect urinary metabolic profile changes in a lipopolysaccharide-induced SMD mouse model. Multivariate statistical analysis including principal component analysis and orthogonapartial least squares discriminant analysis for the discrimination of SMD was conducted to identify potential biomarkers. A total of 19 differential metabolites were discovered by high-resolution mass spectrometry-based urinary metabolomics strategy. The altered biochemical pathways based on these metabolites showed that tyrosine metabolism, phenylalanine metabolism, ubiquinone biosynthesis and vitamin B6 metabolism were closely connected to the pathological processes of SMD. Consequently, integrated chemometric analyses of these metabolic pathways are necessary to extract information for the discovery of novel insights into the pathogenesis of disease.     

Metabolomics and metabolite profiling: past heroes and future developments

Following the sequencing of the human and other genomes, much research effort is now invested in post- genomic science, particularly in the related disciplines of proteomics and metabolomics. In this paper, we will attempt to provide an overview of mass spectrometry-based metabolomic strategies, discuss the evolution of metabolomics from its predecessor, Hmetabolite profiling", and provide some pointers to future methodological and technological direction. Current data from the authors' laboratory will also be presented, highlighting our efforts in the field of "targeted metabolomics", namely, "steroidomics in the brain".     

Measuring the metabolome: current analytical technologies

The post-genomics era has brought with it ever increasing demands to observe and characterise variation within biological systems. This variation has been studied at the genomic (gene function), proteomic (protein regulation) and the metabolomic (small molecular weight metabolite) levels. Whilst genomics and proteomics are generally studied using microarrays (genomics) and 2D-gels or mass spectrometry (proteomics), the technique of choice is less obvious in the area of metabolomics. Much work has been published employing mass spectrometry, NMR spectroscopy and vibrational spectroscopic techniques, amongst others, for the study of variations within the metabolome in many animal, plant and microbial systems. This review discusses the advantages and disadvantages of each technique, putting the current status of the field of metabolomics in context, and providing examples of applications for each technique employed.     

Proteomic profiling of protein corona formed on the surface of nanomaterial

The formation of protein coronas on nanomaterial will significantly alter the surface properties of nanomaterial in biological systems and subsequently impact biological responses including signaling, cellular uptake, transport, and toxicity etc. It is of critical importance to understand the formation of protein coronas on the surface of nanomaterial. Analytical techniques, especially mass spectrometry-based proteomics methods, are playing a key role for the qualitative and quantitative analyses of protein coronas on nanomaterial. In this review, the proteomic approaches developed for the characterization of protein coronas on various nanomaterials are introduced with the emphasis on the mass spectrometry-based proteomic strategies.     

Targeted Metabolomics for Biomarker Discovery

Metabolomics is a truly interdisciplinary field of science, which combines analytical chemistry, platform technology, mass spectrometry, and NMR spectroscopy with sophisticated data analysis. Applied to biomarker discovery, it includes aspects of pathobiochemistry, systems biology/medicine, and molecular diagnostics and requires bioinformatics and multivariate statistics. While successfully established in the screening of inborn errors in neonates, metabolomics is now widely used in the characterization and diagnostic research of an ever increasing number of diseases. In this Review we highlight important technical prerequisites as well as recent developments in metabolomics and metabolomics data analysis with special emphasis on their utility in biomarker identification and qualification, as well as targeted metabolomics by employing high‐throughput mass spectrometry.     

基于质谱技术的食品过敏原检测方法研究进展

食品过敏原分析在食品安全领域具有重要的研究意义。质谱技术由于能够提供待分析物的化学结构信息等特点,已逐渐应用于食品过敏原等大分子检测领域,具有简单高效、高特异性、高通量和高灵敏度等优点,引起了研究者们的广泛关注。该文综述了近年来质谱技术在食品过敏原检测领域的最新研究进展情况。     

Quantum Chemistry-based Molecular Dynamics Simulations as a Tool for the Assignment of ESI-MS/MS Spectra of Drug Molecules

In organic mass spectrometry, fragment ions provide important information on the analyte as a central part of its structure elucidation. With increasing molecular size and possible protonation sites, the potential energy surface (PES) of the analyte can become very complex, which results in a large number of possible fragmentation patterns. Quantum chemical (QC) calculations can help here, enabling the fast calculation of the PES and thus enhancing the mass spectrometry-based structure elucidation processes. In this work, the previously unknown fragmentation pathways of the two drug molecules Nateglinide (45 atoms) and Zopiclone (51 atoms) were investigated using a combination of generic formalisms and calculations conducted with the Quantum Chemical Mass Spectrometry (QCxMS) program. The computations of the de novo fragment spectra were conducted with the semi-empirical GFNn-xTB (n=1, 2) methods and compared against Orbitrap measured electrospray ionization (ESI) spectra in positive ion mode. It was found that the unbiased QC calculations are particularly suitable to predict non-evident fragment ion structures, sometimes contrasting the accepted generic formulation of fragment ion structures from electron migration rules, where the “true” ion fragment structures are approximated. For the first time, all fragment and intermediate structures of these large-sized molecules could be elucidated completely and routinely using this merger of methods, finding new undocumented mechanisms, that are not considered in common rules published so far. Given the importance of ESI for medicinal chemistry, pharmacokinetics, and metabolomics, this approach can significantly enhance the mass spectrometry-based structure elucidation processes and contribute to the understanding of previously unknown fragmentation pathways.     

Recent Progress in Mass Spectrometry-based Metabolomics for Colorectal Cancer

Metabolomics, one of the latest omics technologies, is employed to reveal overall metabolic trajectories, identify disease causative mechanisms and provide information for preventive diagnosis and drug targeting. Cancer is a disease known to alter cellular metabolism and so metabolomics can play an important role in the early diagnosis of cancer and in the evaluation of medical interventions and treatments for cancer. Many metabolomics studies rely on high-sensitive and high-throughput mass spectrometry platforms. In recent years, various mass spectrometry(MS) methodologies have been developed and enriched the scope of metabolite detection, contributing to disease studies, such as diabetes, cancer, and depression. Colorectal cancer is the third most diagnosed cancer worldwide and its incidence ranked third in China. This review focuses on the mass spectrometry technologies in metabolomics and summarizes the progress of metabolomics research in colorectal cancer.     

Assessment of two complementary liquid chromatography coupled to high resolution mass spectrometry metabolomics strategies for the screening of anabolic steroid treatment in calves

Anabolic steroids are banned in food producing livestock in Europe. Efficient methods based on mass spectrometry detection have been developed to ensure the control of such veterinary drug residues. Nevertheless, the use of "cocktails" composed of mixtures of low amounts of several substances as well as the synthesis of new compounds of unknown structure prevent efficient prevention. New analytical tools able to detect such abuse are today mandatory. In this context, metabolomics may represent new emerging strategies for investigating the global physiological effects associated to a family of substances and therefore, to suspect the administration of steroids. The purpose of the present study was to set up, assess and compare two complementary mass spectrometry-based metabolomic strategies as new tools to screen for steroid abuse in cattle and demonstrate the feasibility of such approaches. The protocols were developed in two European laboratories in charge of residues analysis in the field of food safety. Apart from sample preparation, the global process was different in both laboratories from LC-HRMS fingerprinting to multivariate data analysis through data processing and involved both LC-Orbitrap-XCMS and UPLC-ToF-MS-MetAlign strategies. The reproducibility of both sample preparation and MS measurements were assessed in order to guarantee that any differences in the acquired fingerprints were not caused by analytical variability but reflect metabolome modifications upon steroids administration. The protocols were then applied to urine samples collected on a large group of animals consisting of 12 control calves and 12 calves administrated with a mixture of 17β-estradiol 3-benzoate and 17β-nandrolone laureate esters according to a protocol reflecting likely illegal practices. The modifications in urine profiles as indicators of steroid administration have been evaluated in this context and proved the suitability of the approach for discriminating anabolic treated animals from control ones. Such an approach may therefore open a new way for the screening of anabolic steroid administration through targeted monitoring of relevant biomarkers highlighted as a result of the metabolomics study.