基于蛋白质组学方法分析绝经后骨质疏松症全血差异蛋白

Analysis of proteins which are differentially expressed in whole blood of patients with postmenopausal osteoporosis using proteomics approach

目的:基于蛋白质组学方法筛选绝经后骨质疏松症(postmenopausal osteoporosis,PMOP)全血差异蛋白。方法:选择7例PMOP患者(骨质疏松组)和7例绝经后骨量正常女性(骨量正常组)作为研究对象。空腹抽取静脉血,采用高效液相色谱-串联质谱技术筛选PMOP全血差异蛋白,选取其中发生显著变化的差异蛋白进行生物信息学分析。结果:①差异蛋白鉴定及筛选结果。应用高效液相色谱-串联质谱技术共定量检测到102个PMOP差异蛋白质,其中25个蛋白质位点表达上调、77个蛋白质位点表达下调。68个蛋白质两组差异倍数超过2.0,其中39个蛋白质两组差异倍数有统计学意义( P <0.01)。②生物信息学分析结果。基因功能注释发现,差异蛋白主要参与的细胞活动为单一生物过程、细胞代谢过程、细胞生物调节、对刺激和代谢过程的反应,主要的分子功能为催化活性和结构分子活动。亚细胞定位分析发现,102个差异蛋白质中,位点表达上调的25个差异蛋白全部位于细胞内,位点表达下调的77个差异蛋白中,19个在细胞外,其他均在细胞内。39个目标差异蛋白相互作用网络图显示,蛋白酶体亚基α型-7(proteasome subunit alpha type-7,PSMA7)、蛋白酶体亚基β型-7(proteasome subunit beta type-7,PSMB7)、蛋白酶体亚基β型-3(proteasome subunit beta type-3,PSMB3)、蛋白酶体亚基α型-1(proteasome subunit alpha type-1,PSMA1)、神经前体细胞表达发育下调因子8(neural precursor cell-expressed developmentally downregulated 8,NEDD8)、DNA损伤结合蛋白1(DNA damage-binding protein 1,DDB1)、RAD23A、UBA52等蛋白位于相互作用网络节点的中心。结论:以全血作为样本采用蛋白质组学方法可筛选出数量丰富的PMOP差异蛋白,其中PSMA7、PSMB7、PSMB3、PSMA1、NEDD8、DDB1、RAD23A、UBA52可能是PMOP的潜在有效血液标志物。

Objective: To select the proteins which are differentially expressed in whole blood of patients with postmenopausal osteoporosis(PMOP)using proteomics approach. Methods: Seven females with PMOP(osteoporosis group)and seven postmenopausal females with normal bone mass(normal bone mass group)were selected out as the subjects.The fasting blood were fetched out from vein.The proteins which were differentially expressed in whole blood of patients with PMOP were selected out by using high pressure liquid chromatography-tandem mass spectrometry(HPLC-MS/MS),and those proteins which were obviously differentially expressed in whole blood were picked out for further bioinformatic analysis. Results: A total of 102 differentially expressed proteins were found out by HPLC-MS/MS,in which the expressions of 25 protein loci were up-regulated and the expressions of 77 protein loci were down-regulated.The fold change of 68 proteins exceeded 2.0,while there was statistical significance in fold change of 39 out of 68 proteins( P <0.01).The results of gene annotation demonstrated that the differentially expressed proteins were mainly involved in 4 kinds of cell activities,including single biological process,cell metabolism process,cell biological regulation and response to stimulation and metabolism process,and their main molecular functions included catalytic activities and structural molecular activities.The results of subcellular positioning analysis demonstrated that 25 differentially expressed proteins with up-regulated loci expressions were inside the cells,and out of 77 differentially expressed proteins with down-regulated loci expressions 19 were outside the cells and the others were inside the cells.The network diagram of interaction between 39 differentially expressed proteins showed that proteasome subunit alpha type-7(PSMA7),proteasome subunit beta type-7(PSMB7),proteasome subunit beta type-3(PSMB3),proteasome subunit alpha type-1(PSMA1),neural precursor cell-expressed developmentally downregulated 8(NEDD8),DNA damage-binding protein 1(DDB1),RAD23A and UBA52 were located at the center of the interaction network nodes. Conclusion: Abundant differentially expressed proteins of PMOP in whole blood can be identified using proteomics approach,and PSMA7,PSMB7,PSMB3,PSMA1,NEDD8,DDB1,RAD23A and UBA52 may be the potential effective blood markers of PMOP.