Suppr超能文献

全面蛋白质组学分析患者泪液,寻找创伤性植物状态潜在生物标志物。

Comprehensive Proteomic Profiling of Patients' Tears Identifies Potential Biomarkers for the Traumatic Vegetative State.

机构信息

Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.

Shanghai Head Trauma Institute, Shanghai, 200127, China.

出版信息

Neurosci Bull. 2018 Aug;34(4):626-638. doi: 10.1007/s12264-018-0259-x. Epub 2018 Jul 18.

Abstract

The vegetative state is a complex condition with unclear mechanisms and limited diagnostic, prognostic, and therapeutic methods. In this study, we aimed to explore the proteomic profile of tears from patients in a traumatic vegetative state and identify potential diagnostic markers using tears-a body fluid that can be collected non-invasively. Using iTRAQ quantitative proteomic technology, in the discovery phase, tear samples collected from 16 patients in a traumatic vegetative state and 16 normal individuals were analyzed. Among 1080 identified tear proteins, 57 were upregulated and 15 were downregulated in the patients compared to the controls. Bioinformatics analysis revealed that the differentially-expressed proteins were mainly involved in the wound response and immune response signaling pathways. Furthermore, we verified the levels of 7 differentially-expressed proteins in tears from 50 traumatic vegetative state patients and 50 normal controls (including the samples used in the discovery phase) using ELISA. The results showed that this 7-protein panel had a high discrimination ability for traumatic vegetative state (area under the curve = 0.999). In summary, the altered tear proteomic profile identified in this study provides a basis for potential tear protein markers for diagnosis and prognosis of the traumatic vegetative state and also provides novel insights into the mechanisms of traumatic vegetative state.

摘要

植物状态是一种复杂的病症,其机制尚不清楚,且诊断、预后和治疗方法有限。在这项研究中,我们旨在通过研究创伤性植物状态患者的泪液蛋白质组特征,探索利用泪液(一种可无创采集的体液)寻找潜在诊断标志物的方法。在发现阶段,我们使用 iTRAQ 定量蛋白质组学技术,分析了 16 例创伤性植物状态患者和 16 例正常对照者的泪液样本。在鉴定到的 1080 种泪液蛋白中,有 57 种在患者中上调,15 种下调。生物信息学分析显示,差异表达蛋白主要涉及伤口反应和免疫反应信号通路。此外,我们使用 ELISA 法验证了在 50 例创伤性植物状态患者和 50 例正常对照者(包括发现阶段使用的样本)的泪液中 7 种差异表达蛋白的水平。结果表明,该 7 蛋白标志物组合对创伤性植物状态具有较高的鉴别能力(曲线下面积=0.999)。总之,本研究中确定的改变的泪液蛋白质组图谱为创伤性植物状态的诊断和预后提供了潜在的泪液蛋白标志物基础,并为创伤性植物状态的发病机制提供了新的见解。

相似文献

8
Tear film proteome in age-related macular degeneration.年龄相关性黄斑变性中的泪膜蛋白质组
Graefes Arch Clin Exp Ophthalmol. 2018 Jun;256(6):1127-1139. doi: 10.1007/s00417-018-3984-y. Epub 2018 Apr 25.

本文引用的文献

2
The power of tears: how tear proteomics research could revolutionize the clinic.眼泪的力量:泪液蛋白质组学研究如何革新临床
Expert Rev Proteomics. 2017 Mar;14(3):189-191. doi: 10.1080/14789450.2017.1285703. Epub 2017 Feb 1.
7
The Vegetative State and Stem Cells: Therapeutic Considerations.植物状态与干细胞:治疗考量
Front Neurol. 2016 Aug 23;7:118. doi: 10.3389/fneur.2016.00118. eCollection 2016.
8
Biomarkers for Primary Sjögren's Syndrome.原发性干燥综合征的生物标志物
Genomics Proteomics Bioinformatics. 2015 Aug;13(4):219-23. doi: 10.1016/j.gpb.2015.06.002. Epub 2015 Sep 8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验