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1型糖尿病生物标志物的系统评价揭示了与补体、脂质代谢和免疫反应相关的循环蛋白中的调节作用。

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

作者信息

Sarkar Soumyadeep, Elliott Emily C, Henry Hayden R, Ludovico Ivo Díaz, Melchior John T, Frazer-Abel Ashley, Webb-Robertson Bobbie-Jo, Davidson W Sean, Holers V Michael, Rewers Marian J, Metz Thomas O, Nakayasu Ernesto S

出版信息

medRxiv. 2023 Feb 22:2023.02.21.23286132. doi: 10.1101/2023.02.21.23286132.

Abstract

AIMS

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 (DOI 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 251 unique proteins, with 27 (11%) 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 a subset of 3 proteins (C3, KNG1 & CFAH), 6 proteins (C3, C4A, APOA4, C4B, A2AP & BTD) and 7 proteins (C3, CLUS, APOA4, C6, A2AP, C1R & CFAI) have consistent regulation between multiple studies in samples from individuals at pre-seroconversion, 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.

摘要

目的

1型糖尿病(T1D)是由胰腺β细胞的自身免疫攻击引起的,这种攻击会发展为血糖异常和症状性高血糖。目前用于追踪这一病程进展的生物标志物有限,胰岛自身抗体的出现标志着自身免疫的开始,而代谢检测则用于检测血糖异常。因此,需要额外的生物标志物来更好地追踪疾病的起始和进展。多项临床研究已利用蛋白质组学来识别生物标志物候选物。然而,大多数研究仅限于初步的候选物识别,还需要进一步验证并开发用于临床的检测方法。在此,我们整理这些研究,以帮助确定生物标志物候选物的优先级,用于验证研究,并更全面地了解疾病发展过程中受调控的过程。

方法

本系统评价已在开放科学框架(DOI 10.17605/OSF.IO/N8TSA)注册。我们按照PRISMA指南,在PubMed中对T1D的蛋白质组学研究进行了系统检索,以识别该疾病的推定蛋白质生物标志物。纳入了对对照、血清转化前、血清转化后和/或T1D诊断患者的人血清/血浆进行基于质谱的非靶向/靶向蛋白质组分析的研究。为了进行无偏倚筛选,3名评审员使用预先确定的标准独立筛选所有文章。

结果

共有13项研究符合我们的纳入标准,共鉴定出251种独特的蛋白质,其中27种(11%)在3项或更多研究中被鉴定出来。发现循环蛋白质生物标志物在补体、脂质代谢和免疫反应途径中富集,所有这些途径在T1D发展的不同阶段均失调。我们发现,与对照组相比,在血清转化前、血清转化后和诊断后的个体样本中,分别有一组3种蛋白质(C3、KNG1和CFAH)、6种蛋白质(C3、C4A、APOA4、C4B、A2AP和BTD)以及7种蛋白质(C3、CLUS、APOA4、C6、A2AP、C1R和CFAI)在多项研究之间具有一致的调控,这使其成为临床检测方法开发的有力候选物。

结论

本系统评价中分析的生物标志物突出了T1D中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,并且可能有潜力在临床上进一步用作预后或诊断检测方法。

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Front Endocrinol (Lausanne). 2023 Feb 3;14:1117076. doi: 10.3389/fendo.2023.1117076. eCollection 2023.

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