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

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

作     者:Qilin Tang Chao Zhang Xiang Wu Wenbin Duan Weiji Weng Junfeng Feng Qing Mao Shubin Chen Jiyao Jiang Guoyi Gao 

作者机构:Department of NeurosurgeryRen Ji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200127China Shanghai Head Trauma InstituteShanghai 200127China Department of NeurosurgeryBaoshan People's HospitalBaoshan 678000China Department of NeurologyAnda HospitalShanghai 201204China 

出 版 物:《Neuroscience Bulletin》 (神经科学通报(英文版))

年 卷 期:2018年第34卷第4期

页      面:626-638页

核心收录:

学科分类:1002[医学-临床医学] 100210[医学-外科学(含:普外、骨外、泌尿外、胸心外、神外、整形、烧伤、野战外)] 10[医学] 

基  金:supported by the National Natural Science Foundation of China(81671198) the Grant of Shanghai Municipal Education Commission-Gaofeng Clinical Medicine(20152212) the Shanghai Shenkang Clinical Research Plan of the Shanghai Hospital Development Center(16CR3011A) 

主  题:Trauma Vegetative state - Tears - Proteomics iTRAQ 

摘      要: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 noninvasively. 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 sum- mary, 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.

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