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作 者:魏利龙 周允[1] 王立伟[1] 宋清挽 郭正光 曹永彤[1] Wei Lilong;Zhou Yun;Wang Liwei;Song Qingwan;Guo Zhengguang;Cao Yongtong(Laboratory Department of China-Japan Friendship Hospital,Beijing 100029,China;Institute of Basic Medicine,Chinese Academy of Medical Sciences,Beijing 100005,China)
机构地区:[1]中日友好医院检验科,北京100029 [2]中国医学科学院基础医学研究所,北京100005
出 处:《中华检验医学杂志》2024年第10期1159-1168,共10页Chinese Journal of Laboratory Medicine
基 金:北京市临床重点专科(2020)。
摘 要:目的评价尿液蛋白质组学在间质性肺病中的诊断价值。方法病例对照研究,选择2023年3月12日至4月15日中日友好医院明确诊断间质性肺病患者10例,年龄(56.70±14.78)岁,肺部感染患者9例(年龄51.30±23.26岁);中日友好医院体检中心体检者健康对照10名(年龄50.20±6.07岁),使用液质联用蛋白质组学技术对三组人群的尿液进行尿液蛋白质组研究。基于数据非依赖型采集质谱定量技术对三组人群进行比较,组间采用t检验,并进行相关功能分析。结果共鉴定2730个蛋白;尿液蛋白质组基于正交信号校正的偏最小二乘判别分析可以对三组人群进行明显区分;对蛋白进行定量比较,差异蛋白筛选标准为P<0.05和蛋白丰度倍数变化为>3/2或<2/3,发现间质性肺病患者与健康人中存在49个差异蛋白,间质性肺病患者与感染性疾病患者中存在57个差异蛋白;对差异蛋白进行GO和KEGG分析,显著富集到ECM受体相互作用、补体和凝血级联通路等通路。结论尿液蛋白质组学能够有效地区分间质性肺病患者和肺部感染患者及正常人群,本实验中鉴定的差异蛋白具有一定的诊断性能(AUC值0.68~1.00),可以作为潜在的疾病标记物用于间质性肺病的诊断。ObjectiveTo evaluate the diagnostic value of urine proteomics in interstitial lung disease.MethodsA case control study was conducted.10 patients(age 56.70±14.78 years)with interstitial lung disease,9 patients(age 51.30±23.26 years)with pulmonary infection and 10 healthy controls(age 50.20±6.07 years)from the physical examination center were selected from China-Japan Friendship Hospital from March 12 to April 15,2023.The urine proteomics of three groups of people were studied using Liquid chromatography-mass spectrometry proteomics technology.Based on Data-Independent Acquisition mass spectrometry quantitative technology,three groups of people were compared,and t-test was performed between groups and relevant functional analysis was conducted.ResultsA total of 2730 proteins were identified.Three groups of people can be clearly distinguished by urine proteome using partial least squares discriminant analysis based on orthogonal signal correction.Quantitative comparison of proteins was conducted by the screening criteria for differential proteins with P<0.05 and protein abundance fold changes of>3/2 or<2/3.49 proteins between interstitial lung disease patients and healthy people,as well as 57 proteins between interstitial lung disease patients and infectious diseases patients,were significantly changed.ECM receptor interaction and complement-coagulation cascade pathways were enriched by GO enrichment and KEGG analysis on differentially expressed proteins.ConclusionsUrinary proteomics can effectively distinguish patients with interstitial lung disease from those with pulmonary infections and the normal population.The differential proteins identified in this experiment have certain diagnostic performance(AUC value 0.68-1.00)and can be used as potential disease markers for the diagnosis of interstitial lung disease.
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