糖尿病微血管并发症血液样本中代谢生物标记物的研究进展和前景。

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Li Yan, Xu Wang, Yujie Xiang, Shuyi Ru, Cheng Fang, Xiuhong Wu
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引用次数: 0

摘要

背景:糖尿病是指由多种病因引起的以慢性高血糖为特征的一组代谢性疾病。随着病情的发展,患者逐渐出现微血管并发症,包括糖尿病肾病、糖尿病视网膜病变、糖尿病神经病变等。然而,目前临床检测这些微血管并发症的方法有限,因此一级预防和早期诊断非常重要。审查目的:本文综述了目前已知的糖尿病微血管并发症的血液生物标志物,按结构类型分类,包括氨基酸代谢、脂质代谢、肉碱代谢、有机酸代谢等,可用于基于微血管并发症的糖尿病同步分型。并寻找其变化趋势,为早期诊断和了解糖尿病微血管并发症(包括氧化应激、线粒体功能障碍)的发病机制奠定基础。寻找其变化趋势,为早期诊断和了解糖尿病微血管并发症(包括氧化应激、线粒体功能障碍)的发病机制奠定基础。综述的关键科学概念:由于糖尿病微血管并发症的诊断标准的限制,一些患者已经患有他们正在接受检查的疾病。代谢组学通过分析生物组织中存在的与临床表型相关的小分子代谢物来反映生物体的生理状态,提供该生物体在任何给定时间内发生的生理和病理生理代谢过程的快照,从而为诊断生物标志物和精确治疗的发展打开大门。在临床代谢组学中,血液被认为是一种特殊类型的结缔组织,它可以将物质运输到全身,将不同的系统连接在一起。此外,血液成分可能是代谢组学研究中最常用的基质。因此,代谢组学被用于分析反映糖尿病病程的血液生物标志物,并探索三种最常见的糖尿病微血管并发症的病理生理通路。最后,在这篇综述中,我们讨论了代谢组学分析目前的局限性,以及整合多组学数据,包括基因组学、转录组学和蛋白质组学,这些数据是开发糖尿病微血管并发症特异性生物标志物所需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progress and perspectives of metabolic biomarkers in blood sample for diabetic microvascular complications.

Background: Diabetes mellitus refers to a group of metabolic diseases characterized by chronic hyperglycemia due to multiple etiological factors. As the disease progresses, patients gradually develop microvascular complications, including diabetic nephropathy, diabetic retinopathy, and diabetic neuropathy. However, current clinical methods for detecting these microvascular complications are limitations, thus primary prevention and early diagnosis are of great importance.

Aim of review: This review summarizes the known blood biomarkers of diabetic microvascular complications, classified according to type of structure, including amino acid metabolism, lipid metabolism, carnitine metabolism, organic acid metabolism, etc., which can be used for the simultaneous typing of diabetes mellitus based on microvascular complications, and to search for the trend of changes to lay the foundation for early diagnosis and understanding of the pathogenesis of diabetic microvascular complications, including oxidative stress, and mitochondrial dysfunction. Searches for the trend of changes to lay the foundation for early diagnosis and understanding of the pathogenesis of diabetic microvascular complications, including oxidative stress, mitochondrial dysfunction.

Key scientific concepts of review: Due to the limitations of diagnostic criteria for diabetic microvascular complications, some patients already have the disease for which they are being tested. Metabolomics reflects the physiological state of an organism by analyzing the small molecules metabolites present in a biological tissue that are related to clinical phenotypes, providing a snapshot of the physiological and pathophysiological metabolic processes occurring within that organism at any given time, thus opening the door for the development of diagnostic biomarkers and precise treatment. In clinical metabolomics, blood is considered a specialized type of connective tissue, which allows it to transport substances throughout the body, connecting different systems together. Also, blood components are probably the most frequently used matrix in metabolomics studies. Therefore, metabolomics is used to analyze blood biomarkers that reflect the course of diabetes and explore the pathways involved in the pathophysiology of the three most common diabetic microvascular complications. Finally, in this review, we discuss the current limitations of metabolomic analysis, and the integrative multi-omics data, including genomics, transcriptomics, and proteomics, required for developing specific biomarkers for diabetic microvascular complications.

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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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