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基于iTRAQ的蛋白质组学揭示特发性肺纤维化的新型生物标志物。

iTRAQ-Based Proteomics Reveals Novel Biomarkers for Idiopathic Pulmonary Fibrosis.

作者信息

Niu Rui, Liu Ying, Zhang Ying, Zhang Yuan, Wang Hui, Wang Yongbin, Wang Wei, Li Xiaohui

机构信息

Department of Respiratory Medicine, Second Hospital of Shandong University, Shandong, China.

Operating Room, Tianjin Chest Hospital, Tianjin, China.

出版信息

PLoS One. 2017 Jan 25;12(1):e0170741. doi: 10.1371/journal.pone.0170741. eCollection 2017.

Abstract

Idiopathic pulmonary fibrosis (IPF) is a gradual lung disease with a survival of less than 5 years post-diagnosis for most patients. Poor molecular description of IPF has led to unsatisfactory interpretation of the pathogenesis of this disease, resulting in the lack of successful treatments. The objective of this study was to discover novel noninvasive biomarkers for the diagnosis of IPF. We employed a coupled isobaric tag for relative and absolute quantitation (iTRAQ)-liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach to examine protein expression in patients with IPF. A total of 97 differentially expressed proteins (38 upregulated proteins and 59 downregulated proteins) were identified in the serum of IPF patients. Using String software, a regulatory network containing 87 nodes and 244 edges was built, and the functional enrichment showed that differentially expressed proteins were predominantly involved in protein activation cascade, regulation of response to wounding and extracellular components. A set of three most significantly upregulated proteins (HBB, CRP and SERPINA1) and four most significantly downregulated proteins (APOA2, AHSG, KNG1 and AMBP) were selected for validation in an independent cohort of IPF and other lung diseases using ELISA test. The results confirmed the iTRAQ profiling results and AHSG, AMBP, CRP and KNG1 were found as specific IPF biomarkers. ROC analysis indicated the diagnosis potential of the validated biomarkers. The findings of this study will contribute in understanding the pathogenesis of IPF and facilitate the development of therapeutic targets.

摘要

特发性肺纤维化(IPF)是一种渐进性肺部疾病,大多数患者确诊后的生存期不足5年。对IPF的分子描述不足导致对该疾病发病机制的解释不尽人意,从而缺乏有效的治疗方法。本研究的目的是发现用于诊断IPF的新型非侵入性生物标志物。我们采用了相对和绝对定量等压标记(iTRAQ)-液相色谱-串联质谱(LC-MS/MS)方法来检测IPF患者的蛋白质表达。在IPF患者血清中总共鉴定出97种差异表达蛋白(38种上调蛋白和59种下调蛋白)。使用String软件构建了一个包含87个节点和244条边的调控网络,功能富集分析表明差异表达蛋白主要参与蛋白质激活级联反应、对损伤的反应调节和细胞外成分。选择一组三个上调最显著的蛋白(HBB、CRP和SERPINA1)和四个下调最显著的蛋白(APOA2、AHSG、KNG1和AMBP),使用酶联免疫吸附测定(ELISA)试验在IPF和其他肺部疾病的独立队列中进行验证。结果证实了iTRAQ分析结果,并且发现AHSG、AMBP、CRP和KNG1是特异性的IPF生物标志物。ROC分析表明了验证后生物标志物的诊断潜力。本研究结果将有助于理解IPF的发病机制,并促进治疗靶点的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4dc/5266322/8c48c4bdddd6/pone.0170741.g001.jpg

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