糖尿病视网膜病变患者个性化风险分层的蛋白质组学血液生物标志物。

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Bent Honoré, Lasse Jørgensen Cehofski, Steffen Heegaard, Ivan Brandslund, Henrik Vorum, Carina Slidsborg
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引用次数: 0

摘要

糖尿病(DM)是世界范围内具有挑战性的慢性病。由于吸烟、肥胖和人口老龄化,预计到2030年发病率将急剧上升。这将增加未来几年的公共卫生负担。糖尿病视网膜病变(DR)是一种常见的微血管并发症,也是导致工作年龄人群失明的主要原因。了解驱动疾病进展和视力丧失的蛋白质组学机制在制定临床实践中管理患者的新策略时至关重要。涵盖领域:我们总结了人类血液中分子生物标志物的蛋白质组学研究。我们讨论了方法学的优势和挑战。蛋白质组学技术的进步已经达到了可以在血液中检测到与疾病相关的低丰度蛋白质的水平。综合这些研究结果表明,这些生物标志物是针对疾病阶段的,有望在dr中进行个性化的风险分层。专家意见:随着先进的质谱技术用于血液生物标志物的研究,这一研究领域有望在不久的将来取得进展。同样,预计新的基于血液的DR生物标志物将在国际研究中得到验证并在临床实践中实施。因此,未来的观点有望为诊断、进展和最佳治疗选择提供个性化的风险分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proteomic blood-biomarkers for personalized risk stratification of diabetic retinopathy patients.

Introduction: Diabetes mellitus (DM) is a challenging chronic disease worldwide. The incidence is expected to rise dramatically by 2030 due to smoking, obesity and aging population. This increases public health burden in coming years. Diabetic retinopathy (DR) is a common microvascular complication and a leading cause of blindness among working-age individuals. Understanding the proteomic mechanisms driving disease progression and visual loss is of paramount importance when laying novel strategies for managing patients in clinical practice.

Areas covered: We summarize proteomic studies addressing molecular biomarkers in human blood for DR. We discuss methodological advantages and challenges. Proteomic technology advancement has reached a level where even low-abundance proteins related to disease can be detected in blood. The pooled results of these studies suggested that the biomarkers are specific to disease stage and hold promise for personalized risk stratification in DR.

Expert opinion: With development of advanced mass spectrometry technology for investigation of blood-biomarkers, this research area is expected to advance in near future. Similarly, it is expected that novel blood-based biomarkers for DR will be validated in international studies and implemented in clinical practice. Therefore, future perspectives hold promises of personalized risk profiling for diagnosis, progression and optimal choice of treatment.

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来源期刊
Expert Review of Proteomics
Expert Review of Proteomics 生物-生化研究方法
CiteScore
7.60
自引率
0.00%
发文量
20
审稿时长
6-12 weeks
期刊介绍: Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.
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