1型糖尿病生物标志物的系统综述揭示了与补体、脂质代谢和免疫反应相关的循环蛋白的调节。

IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS
Soumyadeep Sarkar, Emily C Elliott, Hayden R Henry, Ivo Díaz Ludovico, John T Melchior, Ashley Frazer-Abel, Bobbie-Jo Webb-Robertson, W Sean Davidson, V Michael Holers, Marian J Rewers, Thomas O Metz, Ernesto S Nakayasu
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引用次数: 0

摘要

背景:1型糖尿病(T1D)是由胰腺β细胞的自身免疫性攻击引起的,这种攻击会发展为低血糖和症状性高血糖。目前追踪这种进化的生物标志物是有限的,胰岛自身抗体的发展标志着自身免疫的开始,代谢测试用于检测血糖异常。因此,需要额外的生物标志物来更好地跟踪疾病的发生和发展。多项临床研究已经使用蛋白质组学来鉴定候选生物标志物。然而,大多数研究仅限于最初的候选鉴定,需要进一步验证,并开发用于临床的分析方法。在这里,我们策划了这些研究,以帮助确定验证研究的候选生物标志物的优先级,并对疾病发展过程中的调节过程有更广泛的了解。方法:采用开放科学框架(Open Science Frameworkhttps://doi.org/10.17605/OSF.IO/N8TSA)。使用PRISMA指南,我们在PubMed中对T1D的蛋白质组学研究进行了系统搜索,以确定该疾病的假定蛋白质生物标志物。包括对对照、血清转化前、血清转化后和/或T1D诊断受试者的人类血清/血浆进行基于质谱的非靶向/靶向蛋白质组学分析的研究。为了进行无偏见的筛选,3名评审员使用预先确定的标准独立筛选了所有文章。结果:共有13项研究符合我们的纳入标准,共鉴定出266种独特的蛋白质,其中31种(11.6%)在3项或更多的研究中被鉴定。循环蛋白生物标志物被发现在补体、脂质代谢和免疫反应途径中富集,所有这些在T1D发育的不同阶段都被发现失调。我们发现2个亚群:17种蛋白质(C3、C1R、C8G、C4B、IBP2、IBP3、ITIH1、ITIH2、BTD、APOE、TETN、C1S、C6A3、SAA4、ALS、SEPP1和PI16)和3种蛋白(C3、CLUS和C4A)在至少2项独立研究中分别在血清转换后和诊断后与对照组相比具有一致的调节,使其成为临床分析开发的有力候选者。结论:本系统综述中分析的生物标志物突出了T1D特定生物学过程的改变,包括补体、脂质代谢和免疫反应途径,并可能在临床上进一步用作预后或诊断测定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response.

Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response.

Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response.

Systematic review of type 1 diabetes biomarkers reveals regulation in circulating proteins related to complement, lipid metabolism, and immune response.

Background: Type 1 diabetes (T1D) results from an autoimmune attack of the pancreatic β cells that progresses to dysglycemia and symptomatic hyperglycemia. Current biomarkers to track this evolution are limited, with development of islet autoantibodies marking the onset of autoimmunity and metabolic tests used to detect dysglycemia. Therefore, additional biomarkers are needed to better track disease initiation and progression. Multiple clinical studies have used proteomics to identify biomarker candidates. However, most of the studies were limited to the initial candidate identification, which needs to be further validated and have assays developed for clinical use. Here we curate these studies to help prioritize biomarker candidates for validation studies and to obtain a broader view of processes regulated during disease development.

Methods: This systematic review was registered with Open Science Framework ( https://doi.org/10.17605/OSF.IO/N8TSA ). Using PRISMA guidelines, we conducted a systematic search of proteomics studies of T1D in the PubMed to identify putative protein biomarkers of the disease. Studies that performed mass spectrometry-based untargeted/targeted proteomic analysis of human serum/plasma of control, pre-seroconversion, post-seroconversion, and/or T1D-diagnosed subjects were included. For unbiased screening, 3 reviewers screened all the articles independently using the pre-determined criteria.

Results: A total of 13 studies met our inclusion criteria, resulting in the identification of 266 unique proteins, with 31 (11.6%) being identified across 3 or more studies. The circulating protein biomarkers were found to be enriched in complement, lipid metabolism, and immune response pathways, all of which are found to be dysregulated in different phases of T1D development. We found 2 subsets: 17 proteins (C3, C1R, C8G, C4B, IBP2, IBP3, ITIH1, ITIH2, BTD, APOE, TETN, C1S, C6A3, SAA4, ALS, SEPP1 and PI16) and 3 proteins (C3, CLUS and C4A) have consistent regulation in at least 2 independent studies at post-seroconversion and post-diagnosis compared to controls, respectively, making them strong candidates for clinical assay development.

Conclusions: Biomarkers analyzed in this systematic review highlight alterations in specific biological processes in T1D, including complement, lipid metabolism, and immune response pathways, and may have potential for further use in the clinic as prognostic or diagnostic assays.

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来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
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