Quantitative proteomics by iTRAQ-PRM based reveals the new characterization for gout.

IF 1.6 3区生物学 Q3 BIOCHEMICAL RESEARCH METHODS

Proteome Science Pub Date : 2021-10-11 DOI:10.1186/s12953-021-00180-0

Guangqi Chen, Jiafen Cheng, Hanjie Yu, Xiao Huang, Hui Bao, Ling Qin, Ling Wang, Yaxiang Song, Xinying Liu, Ai Peng

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引用次数: 4

Abstract

Background: Gout is a common and complex form of immunoreactive arthritis based on hyperuricemia, while the symptoms would turn to remission or even got worse. So, it is hard to early identify whether an asymptomatic hyperuricemia (AHU) patient will be susceptible to get acute gout attack and it is also hard to predict the process of gout remission to flare. Here, we report that the plasma proteins profile can distinguish among acute gout (AG), remission of gout (RG), AHU patients, and healthy controls.

Methods: We established an isobaric tags for relative and absolute quantification (iTRAQ) and parallel reaction monitoring (PRM) based method to measure the plasma proteins for AG group (n = 8), RG group (n = 7), AHU group (n = 7) and healthy controls (n = 8).

Results: Eleven differentially expressed proteins such as Histone H2A, Histone H2B, Thrombospondin-1 (THBS1), Myeloperoxidase (MPO), Complement C2, Complement component C8 beta chain (C8B), Alpha-1-acid glycoprotein 1 (ORM1), Inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), Carbonic anhydrase 1 (CA1), Serum albumin (ALB) and Multimerin-1 (MMRN1) were identified. Histone H2A, Histone H2B and THBS1 might be the strongest influential regulator to maintain the balance and stability of the gout process. The complement and coagulation cascades is one of the main functional pathways in the mechanism of gout process.

Conclusions: Histone H2A, Histone H2B and THBS1 are potential candidate genes for novel biomarkers in discriminating gout attack from AHU or RG, providing new theoretical insights for the prognosis, treatment, and management of gout process.

Trial registration: This study is not a clinical trial.

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基于iTRAQ-PRM的定量蛋白质组学揭示了痛风的新特征。

背景:痛风是基于高尿酸血症的免疫反应性关节炎的一种常见而复杂的形式，而症状会转向缓解甚至恶化。因此，很难早期识别无症状高尿酸血症(AHU)患者是否容易发生急性痛风发作，也很难预测痛风从缓解到发作的过程。在这里，我们报道血浆蛋白谱可以区分急性痛风(AG)，痛风缓解(RG)， AHU患者和健康对照。方法:建立基于相对和绝对定量等压标签(iTRAQ)和平行反应监测(PRM)的血浆蛋白检测方法，测定AG组(n = 8)、RG组(n = 7)、AHU组(n = 7)和健康对照组(n = 8)的血浆蛋白。结果:鉴定出组蛋白H2A、H2B、血栓反应蛋白-1 (THBS1)、髓过氧化物酶(MPO)、补体C2、补体组分C8 β链(C8B)、α -1-酸性糖蛋白1 (ORM1)、α -胰蛋白酶抑制剂重链H4 (ITIH4)、碳酸酐酶1 (CA1)、血清白蛋白(ALB)和多聚蛋白-1 (MMRN1)等11种差异表达蛋白。Histone H2A、Histone H2B和THBS1可能是维持痛风过程平衡和稳定的最具影响力的调节因子。补体和凝血级联反应是痛风过程的主要功能途径之一。结论:组蛋白H2A、H2B和THBS1是鉴别痛风发作与AHU或RG的新型生物标志物的潜在候选基因，为痛风过程的预后、治疗和管理提供了新的理论见解。试验注册:本研究不是临床试验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proteome Science 生物-生化研究方法

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

4.5 months

期刊介绍： Proteome Science is an open access journal publishing research in the area of systems studies. Proteome Science considers manuscripts based on all aspects of functional and structural proteomics, genomics, metabolomics, systems analysis and metabiome analysis. It encourages the submissions of studies that use large-scale or systems analysis of biomolecules in a cellular, organismal and/or environmental context. Studies that describe novel biological or clinical insights as well as methods-focused studies that describe novel methods for the large-scale study of any and all biomolecules in cells and tissues, such as mass spectrometry, protein and nucleic acid microarrays, genomics, next-generation sequencing and computational algorithms and methods are all within the scope of Proteome Science, as are electron topography, structural methods, proteogenomics, chemical proteomics, stem cell proteomics, organelle proteomics, plant and microbial proteomics. In spite of its name, Proteome Science considers all aspects of large-scale and systems studies because ultimately any mechanism that results in genomic and metabolomic changes will affect or be affected by the proteome. To reflect this intrinsic relationship of biological systems, Proteome Science will consider all such articles.