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The Role of Emerging Biomarkers in Unraveling the Complex Biology Underlying Associations between HDL Cholesterol and Cardiovascular Diseases

机译:新兴生物标志物在阐明复杂的生物学基础上的作用,这些生物学基础是高密度脂蛋白胆固醇和心血管疾病之间的联系

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The potential for new therapies that might delay the onset of life-threatening cardiovascular events has motivated a continued interest in the identification of novel predictive circulating biomarkers for cardiovascular disease (CVD).2 While a number of biomarkers [such as C-reactive protein (CRP), d-dimer, fibrinogen, and B-type natriuretic peptide] demonstrate a strong positive association with future risk of CVD events, they have modest incremental predictive power when added to clinical risk factors (1). There remains interest in the discovery of new biomarkers of CVD risk that are uncorrelated to existing markers and provide complementary information on the biological mechanisms determining cardiovascular risk. Emerging technologies such as nuclear magnetic resonance (NMR) spectroscopy enable the comprehensive study of yet-undescribed biological territories and serve as rich ground for the discovery of new and potentially informative circulating molecules in the blood.The serum “glycome” is a fascinating example of an emerging paradigm for the discovery of new biomarkers to characterize disease risk and pathophysiology. The glycome represents the totality of posttranslational modifications of secreted proteins by enzymatic glycosylation. Glycosylated proteins and their sugar moieties called glycans are key to a variety of important cellular processes, but they have historically been difficult to measure, owing in part to low plasma concentrations. In 2015, LabCorp developed a spectral deconvolution algorithm to qualify additional signals derived from lipoprotein particle analyses originating from the N- acetyl methyl group protons of mobile glycan residues (2). This composite signal, designated “GlycA,” is thought to represent a composite of glycoproteins involved in the biology of inflammation, most prominently α1 …
机译:可能延迟威胁生命的心血管事件发作的新疗法的潜力激发了人们对识别心血管疾病(CVD)的新型预测性循环生物标记物的持续兴趣。2虽然许多生物标记物[例如C反应蛋白( CRP),d-二聚体,纤维蛋白原和B型利钠肽]与未来发生CVD事件的风险具有很强的正相关性,当添加到临床风险因素中时,它们具有适度的增量预测能力(1)。仍对发现与现有标记无关的新的CVD风险生物标记感兴趣,并提供有关确定心血管风险的生物学机制的补充信息。核磁共振(NMR)光谱等新兴技术使人们能够对尚未描述的生物领域进行全面研究,并为发现血液中新的,可能提供信息的循环分子奠定了坚实的基础。一个发现新的生物标记物以表征疾病风险和病理生理学的新兴范式。糖基代表通过酶促糖基化的分泌蛋白的翻译后修饰的总和。糖基化蛋白及其糖基(称为聚糖)是多种重要细胞过程的关键,但由于血浆浓度低,它们一直很难测量。 2015年,LabCorp开发了一种光谱解卷积算法,以鉴定源自脂蛋白颗粒分析的其他信号,这些信号源自可移动聚糖残基的N-乙酰甲基质子(2)。该复合信号被称为“ GlycA”,被认为代表参与炎症生物学的糖蛋白的复合物,最突出的是α1…

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