用蛋白质组学技术筛选鉴别缺血性结肠炎和溃疡性结肠炎的血清学标志物

Longgui Ning, Jinghua Yu, Guo-dong Shan, Zeyu Sun, Wen-guo Chen, Fenming Zhang, F. Hu, Hong-tan Chen, Guoqiang Xu
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引用次数: 0

摘要

目的采用串联质谱标签(TMT)联合液相色谱/串联质谱(LC-MS/MS)技术筛选和鉴定血清蛋白生物标志物,鉴别缺血性结肠炎(IC)和溃疡性结肠炎(UC)。方法2018年1月~ 2019年1月,在浙江大学医学院第一附属医院,将UC或IC患者和健康对照组各10例,分别分为UC组、IC组和正常对照组。采集所有受试者的空腹血清样本。去除高丰度蛋白后,进行蛋白水解、多肽标记和分馏,然后进行质谱分析。取三组具有TMT数据的蛋白,剔除TMT值为0的蛋白。构建蛋白质热图。差异蛋白定义为蛋白质折叠变化大于1.5或小于0.67。使用Reactome数据库对组间差异蛋白的通路进行聚类。统计方法包括t检验、超几何检验和BH多重检验。结果通过蛋白质组学分析共鉴定出357个血清蛋白。IC组与NC组差异蛋白27个,其中上调蛋白6个,下调蛋白21个。UC组与NC组差异蛋白228个,其中上调蛋白75个,下调蛋白153个。UC组与IC组差异蛋白49个,其中上调蛋白22个,下调蛋白27个。在NC组、IC组和UC组的差异蛋白比较中,只有纤维蛋白3的表达有统计学意义(UC与NC、UC与IC、IC与NC的倍数变化分别为0.24、0.46、0.53;t=-5.089、-7.298、-3.919,P均<0.01)。通路聚类分析结果显示,在IC组与NC组的差异蛋白比较中,只富集了血小板脱颗粒通路,参与该通路的蛋白有10个(P<0.01)。UC组与NC组的差异蛋白比较,共富集了58条通路,其中参与血小板脱粒通路的蛋白38个,参与补体初始触发通路的蛋白16个,参与补体级联通路的蛋白13个,参与抗体介导的补体激活通路的蛋白11个(均P<0.01)。在UC组和IC组之间的差异蛋白比较中,得到了三条不同的途径。其中,参与血小板脱粒途径的蛋白有9个,参与补体初始触发途径的蛋白有7个,参与补体级联途径的蛋白有5个(均P<0.01)。结论IC患者与UC患者血清蛋白质组差异显著,差异蛋白主要参与血小板活化和补体活化。本研究确定的候选蛋白可能在未来作为UC和IC鉴别诊断的生物标志物。关键词:结肠炎;缺血性;溃疡性结肠炎;蛋白质组学;标记,血清
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Screening of serological markers for differential diagnosis ischemic colitis and ulcerative colitis by proteomic techniques
Objective To screen and identify serum protein biomarkers for the differential diagnosis between ischemic colitis (IC) and ulcerative colitis (UC) by tandem mass tag (TMT) combined with liquid chromatography/tandem mass spectrometry (LC-MS/MS). Methods From January 2018 to January 2019, at the First Affiliated Hospital of School of Medicine of Zhejiang University, patients with UC or IC, and health controls, each 10 cases, were enrolled into UC group, IC group and normal control (NC) group, respectively. Fasting serum samples of all the subjects were collected. After removal of high-abundance protein, followed by proteolysis, peptide labeling and fractionating, the samples were then processed by mass spectrometry. The protein with TMT data of three groups was obtained and protein with TMT value 0 were removed. Heat map of protein was constructed. The differential protein was defined as the protein fold change over 1.5 or less than 0.67. The Reactome database was used to cluster the pathways of differential proteins among groups. Statistical methods included t test, hypergeometry test and corrected by BH multiple test. Results A total of 357 serum proteins were identified by proteomic profiling. There were 27 differential proteins between the IC group and the NC group, including six up-regulated proteins and 21 down-regulated proteins. There were 228 differential proteins between the UC group and the NC group, including 75 up-regulated proteins and 153 down-regulated proteins. There were 49 differential proteins between UC group and IC group, including 22 up-regulated proteins and 27 down-regulated proteins. In the comparison of differential proteins between the NC group, IC group and UC group, only the expression of fibrin 3 was statistically significant (the fold change between UC and NC, between UC and IC, between IC and NC were 0.24, 0.46 and 0.53, respectively; t=-5.089, -7.298 and -3.919, all P<0.01). The results of pathway cluster analysis showed that in the comparison of differential proteins between IC group and NC group, only the platelet degranulation pathway was enriched, and 10 proteins were involved in this pathway (P<0.01). In the comparison of differential proteins between UC group and NC group, there were 58 pathways enriched, of which 38 proteins were involved in the platelet degranulation pathway, 16 proteins were involved in the initial complement trigger pathway, 13 proteins were involved in the complement cascade pathway, and 11 proteins were involved in antibody-mediated complement activation pathway (all P<0.01). In the comparison of differential proteins between UC group and IC group, three different pathways were obtained. Among them, nine proteins were involved in the platelet degranulation pathway, seven proteins were involved in the initial complement trigger pathway, and five proteins were involved in the complement cascade pathway (all P<0.01). Conclusions The difference in serum proteome between IC patients and UC patients was significant, and the differential proteins are mainly involved in platelet activation and complement activation. The candidate proteins identified in this study may be used as biomarkers for the differential diagnosis of UC and IC in the future. Key words: Colitis, ischemic; Colitis, ulcerative; Proteomics; Markers, serum
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