Trindade Fábio, Ferreira Rita, Amado Francisco, Vitorino Rui
QOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
QOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal; School of Health Sciences, University of Aveiro, Aveiro, Portugal.
Adv Clin Chem. 2015;69:161-207. doi: 10.1016/bs.acc.2014.12.004. Epub 2015 Feb 7.
The investigation of protease relevance in biologic systems beyond catabolism of proteins and peptides to amino acids has stimulated interest as to their role in the pathogenesis of several disorders including diabetes mellitus (DM). Evaluation of proteases and the assessment of their activity in biofluids are fundamental to elucidate these proteolytic systems in DM and its related complications. In contrast to traditional immunoassay or substrate based approaches that targeted specific proteases and their inhibitors, the field of degradomics has provided a comprehensive approach to study these enzymes. Although the degradome contains over 500 proteases, very few have been associated with DM and its micro- and macrovascular complications. In this paper, we review these proteases and their respective inhibitors with emphasis on DM. It is likely that future research will expand these initial studies and look to develop high throughput automated technologies to identify and characterize biofluid proteases of diagnostic and prognostic value in other pathologies.
对蛋白酶在生物系统中的相关性进行研究,其范围超出了蛋白质和肽分解为氨基酸的分解代谢过程,这引发了人们对其在包括糖尿病(DM)在内的几种疾病发病机制中作用的兴趣。评估蛋白酶及其在生物流体中的活性,对于阐明糖尿病及其相关并发症中的这些蛋白水解系统至关重要。与针对特定蛋白酶及其抑制剂的传统免疫测定或基于底物的方法不同,降解组学领域提供了一种研究这些酶的综合方法。尽管降解组包含500多种蛋白酶,但与糖尿病及其微血管和大血管并发症相关的却很少。在本文中,我们重点回顾与糖尿病相关这些蛋白酶及其各自的抑制剂。未来的研究很可能会扩展这些初步研究,并寻求开发高通量自动化技术,以识别和表征在其他病理中具有诊断和预后价值的生物流体蛋白酶。