Ultra-performance-liquid chromatography - coupled tandem mass spectrometry (UPLC-MS/MS)

本申请要求采购一台超高效液相色谱耦合串联质谱仪（UPLC-MS / MS），用于生物医学研究中小分子的靶向、灵敏和定量分析。主要主题是基于代谢的先天免疫研究，神经炎症和各种（肿瘤）疾病发展中的炎症过程，内分泌研究中新的生物标志物的建立以及骨代谢的研究。此外，计划将代谢研究作为与饮食失调有关的发展心理学研究项目的一部分。一个主要的焦点是“代谢通量”方法的建立，除了特定代谢物的量化外，还提供了代谢途径动力学的信息。由于上述研究课题的广泛性，需要大量的分析方法来分析中枢和次级代谢途径的代谢物。这些方法包括糖代谢（糖酵解、戊糖-磷酸途径）和能量代谢（柠檬酸循环、脂肪酸氧化）以及氨基酸和生物源多胺、肾上腺类固醇激素、儿茶酚胺代谢物和氧化应激生物标志物。这些方法的必要性在随附的项目描述中进行了说明。特别是关于氧化应激的生物标志物，预计这种方法的成功开发将引起德累斯顿医学院其他工作组的广泛兴趣。为了处理本申请其他部分中描述的研究项目中的大量样品，以及开发成功处理研究项目所必需的新分析方法，预计所需仪器的年使用时间约为6000小时。

In the present application, the procurement of an ultra-performance liquid chromatography-coupled tandem mass spectrometer (UPLC-MS / MS) is requested, which will be used for targeted, sensitive and quantitative analysis of small molecules in the context of biomedical research. The main topics are metabolism-based studies of innate immunity, neuroinflammation and inflammatory processes within the development of various (tumor-) diseases, the establishment of new biomarkers in endocrinological research and studies on bone metabolism. Furthermore, metabolic studies are planned as part of developmental-psychological research projects with regard to eating disorders. A major focus is the establishment of "Metabolic FLUX" methods, which, in addition to the quantification of specific metabolites, also provides information about the metabolic pathway kinetics. Due to the broad research topics mentioned above, a large number of analytical methods are necessary to analyze the metabolites of both central and secondary metabolic pathways. Such methods refer to sugar metabolism (glycolysis, pentose-phosphate pathway) and energy metabolism (citric acid cycle, fatty acid oxidation) as well as amino acids and biogenic polyamines, adrenal steroid hormones, catecholamine metabolites and biomarkers for oxidative stress. The necessity of these methods is described in the accompanying project descriptions. Regarding the biomarkers of oxidative stress in particular, it is anticipated that a successful development of such a method will generate a broad interest within other working groups at the Dresden Medical Faculty. In order to process the large number of samples from the research projects as described in other parts of this application as well as to develop new analytical methods that are necessary for the successful processing of the research projects, the anticipated annual use of the requested instrumentation is approximately 6000 hours.