首页> 外文期刊>Clinical Chemistry: Journal of the American Association for Clinical Chemists >Mass Spectrometry in Biomarker Applications: From Untargeted Discovery to Targeted Verification, and Implications for Platform Convergence and Clinical Application
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Mass Spectrometry in Biomarker Applications: From Untargeted Discovery to Targeted Verification, and Implications for Platform Convergence and Clinical Application

机译:生物标志物应用中的质谱:从无目标发现到目标验证,以及对平台融合和临床应用的启示

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It has really been only in the last 10 years that mass spectrometry (MS)2 has had a truly important (but still small) impact on biomedical research. Much of this impact can be attributed to proteomics and its more basic applications. Early biomedical applications have included a number of efforts aimed at developing new biomarkers; however, the success of these endeavors to date have been quite modest—essentially having been confined to preclinical applications—and have often suffered from combinations of immature technology and hubris. Now that MS-based proteomics is reaching adolescence, it is appropriate to ask if and when biomarker-related applications will extend to the clinical realm and what developments will be essential for this transition.Biomarker development can be described as a multistage process consisting of discovery, qualification, verification, research assay optimization, validation, and commercialization (1). From a MS perspective, it is possible to “bin” measurements into 1 of 2 categories—those aimed at discovering potential protein biomarkers and those seeking to verify and validate biomarkers. Approaches in both categories generally involve digesting proteins (e.g., with trypsin) as a first step to yield peptides that can be effectively detected and identified with MS. Discovery-based approaches use broad “unbiased” or “undirected” measurements that attempt to cover as many proteins as possible in the hope of revealing promising biomarker candidates. A key challenge with this approach stems from the extremely large dynamic range (i.e., relative stoichiometry) of proteins of potential interest in biofluids such as plasma and the expectation that biomarker proteins of the greatest clinical value for many diseases may very well be present at low relative abundances (2). Protein concentrations in plasma extend from approximately 1010 pg/mL for albumin to approximately 10 pg/mL and below for interleukins and other cytokines. Proteins secreted or leaking into the blood from specific early-stage …
机译:直到最近十年,质谱(MS)2才真正对生物医学研究产生了重要的影响(但仍然很小)。这种影响在很大程度上可以归因于蛋白质组学及其更基本的应用。早期的生物医学应用包括为开发新的生物标志物而进行的许多努力。然而,迄今为止,这些努力的成功还很有限(基本上仅限于临床前应用),并且经常遭受技术不成熟和傲慢自大的困扰。既然基于MS的蛋白质组学正处于青春期,就应该问生物标志物相关的应用程序是否以及何时扩展到临床领域,以及什么发展对该过渡必不可少的生物标志物开发可以描述为包括发现在内的多阶段过程。 ,资格,验证,研究分析的优化,验证和商业化(1)。从MS的角度来看,可以将测量结果“分类”为2类中的1类-旨在发现潜在蛋白质生物标志物的类别和寻求验证和验证生物标志物的类别。这两类方法通常都涉及消化蛋白质(例如,用胰蛋白酶)作为产生可被MS有效检测和鉴定的肽的第一步。基于发现的方法使用广泛的“无偏”或“无向”度量,这些度量尝试覆盖尽可能多的蛋白质,以期揭示有希望的生物标志物候选物。这种方法面临的主要挑战来自生物流体(例如血浆)中潜在感兴趣的蛋白质的极大动态范围(即相对化学计量),以及人们期望在很低的条件下很可能存在对许多疾病具有最大临床价值的生物标志物蛋白质相对丰度(2)。血浆中的蛋白质浓度从白蛋白的大约1010 pg / mL扩展到白介素和其他细胞因子的大约10 pg / mL或更低。特定早期分泌或渗入血液的蛋白质…

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