基于Label-free技术探讨肌少-骨质疏松症与骨质疏松症患者骨组织差异蛋白的研究与分析
Research and analysis of differentially expressed proteins in the bone tissue in patients with sarcopenia-osteoporosis and osteoporosis based on label-free technology
  
DOI:10.3969/j.issn.1006-7108.2021.03.012
中文关键词:  Sarco-osteoporosis  骨组织  Label-free定量蛋白质组学  生物信息学分析
英文关键词:sarcopenia-osteoporosis  bone tissue  label-free quantitative proteomics  bioinformatics analysis
基金项目:福建省自然科学基金面上项目(2019J01173);2019福建省卫生教育联合攻关项目(2019-WJ-01);卫生健康委医学创新课题(2019-CX-1)
作者单位
陈锦成1,2 朱国涛1,2 刘洪文1,2 余博飞2 陈彦丞2 罗骏2 秦晓飞1,2 徐杰1,2* 1.福建中医药大学中医骨伤及运动康复教育部重点实验室福建 福州 350122 2.福建医科大学省立临床医学院(福建省立医院)骨科福建 福州 350001 
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中文摘要:
      目的 对“骨质疏松症(OP)”与“肌少-骨质疏松症(SO)”研究对象的骨组织样品进行蛋白定量检测、蛋白差异分析及差异蛋白功能富集分析,旨在筛选与鉴定出调控SO发生发展的差异蛋白。方法 共收集6例SO与OP患者骨组织样品,采用Label-free定量蛋白质组技术进行鉴定与筛选;在基因本体论(GO)生物学资源库、蛋白互作网络(PPI)系统及京都基因与基因组百科全书(KEGG)对具有显著差异的蛋白开展生物信息研究。结果 在SO组与OP组中共筛选出1 395个差异蛋白,经差异显著性筛选其中上调表达有21个,表达下调有9个,上下调蛋白有统计学意义;两组间差异显著的蛋白分别是过氧化物酶-1、转化生长因子-β1、线粒体转录因子A和细胞色素C氧化酶等;差异蛋白主要涉及细胞氧化还原稳态、氧化磷酸化和代谢过程。结论 过氧化物酶-1、转化生长因子-β1、线粒体转录因子A和细胞色素C氧化酶等差异蛋白可能参与了SO发生发展过程。
英文摘要:
      Objective To perform protein quantitative detection, protein difference analysis, and differential protein function enrichment analysis in bone tissue samples in the subjects with osteoporosis (OP) or sarcopenia-osteoporosis (SO), aiming to screen and identify differentially expressed proteins that regulate the occurrence and development of SO. Methods A total of 6 bone tissue samples from SO and OP patients were collected. Label-free quantitative proteomics technology was used for the identification and screening. Bioinformatics research on proteins with significant differences was conducted in the gene ontology (GO) biological resource library, the protein interaction network (PPI) system, and the Kyoto gene and genome Encyclopedia (KEGG). Results In the SO group and OP group, a total of 1395 differentially expressed proteins were screened. After significant difference screening, 21 were up-regulated and 9 were down-regulated. The up-regulated and down-regulated protein were statistically significant. The proteins with significant difference between the two groups were peroxidase-1, transforming growth factor-β1, mitochondrial transcription factor A, and cytochrome C oxidase. The differentially expressed proteins were mainly involved in cell oxidation-reduction homeostasis, oxidative phosphorylation, and metabolic processes. Conclusion Differentially expressed proteins, such as peroxidase-1, transforming growth factor-β1, mitochondrial transcription factor A, and cytochrome C oxidase, may be involved in the development of SO.
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