Justine Demeuse, William Determe, Elodie Grifnée, Philippe Massonnet, Matthieu Schoumacher, Loreen Huyghebeart, Thomas Dubrowski, Stéphanie Peeters, Caroline Le Goff, Etienne Cavalier
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引用次数: 0
摘要
随着人口老龄化的加剧,人们对监测骨质疏松症等骨骼疾病的兴趣与日俱增,自 2000 年代以来,骨转换生物标志物的发现和测量工作取得了重大进展。目前已开发出多种源自 I 型胶原的标记物,如 CTX、NTX、PINP 和 ICTP。然而,这些分子复杂的交联结构给分析带来了巨大的挑战,迄今为止,这些生物标记物的特征仍然不甚明了。以前的表征尝试包括基于凝胶的分离方法和对直接从骨中提取的胶原蛋白肽进行 MALDI-TOF 分析。然而,使用富含胶原蛋白的骨粉并不能代表生物流体中被裂解的肽的真实结构。在本研究中,我们的目标是表征血浆和血清中的 CTX,以便进行后续的 LC-MS/MS 方法开发。我们直接从人体血浆和血清中提取了 I 型胶原蛋白肽,并利用蛋白质组学工作流程对其进行了表征,该工作流程整合了制备 LC、亲和色谱法和 HR-MS。随后,我们成功鉴定了多种 CTX 物种,为鉴定这些重要生物标记物提供了宝贵的见解。
Characterization of Trivalently Crosslinked C-Terminal Telopeptide of Type I Collagen (CTX) Species in Human Plasma and Serum Using High-Resolution Mass Spectrometry.
With an aging population, the increased interest in the monitoring of skeletal diseases such as osteoporosis led to significant progress in the discovery and measurement of bone turnover biomarkers since the 2000s. Multiple markers derived from type I collagen, such as CTX, NTX, PINP, and ICTP, have been developed. Extensive efforts have been devoted to characterizing these molecules; however, their complex crosslinked structures have posed significant analytical challenges, and to date, these biomarkers remain poorly characterized. Previous attempts at characterization involved gel-based separation methods and MALDI-TOF analysis on collagen peptides directly extracted from bone. However, using bone powder, which is rich in collagen, does not represent the true structure of the peptides in the biofluids as it was cleaved. In this study, our goal was to characterize plasma and serum CTX for subsequent LC-MS/MS method development. We extracted and characterized type I collagen peptides directly from human plasma and serum using a proteomics workflow that integrates preparative LC, affinity chromatography, and HR-MS. Subsequently, we successfully identified numerous CTX species, providing valuable insights into the characterization of these crucial biomarkers.
期刊介绍:
PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.