机构地区:[1]兰州大学第一临床医学院,甘肃兰州730000 [2]甘肃省生殖医学与胚胎重点实验室,甘肃兰州730000 [3]甘肃省白银市会宁县健康教育中心,甘肃白银730000 [4]甘肃省人民医院PET-CT中心,甘肃兰州730000
出 处:《中国男科学杂志》2022年第6期41-47,共7页Chinese Journal of Andrology
基 金:甘肃省青年科技基金项目(20JR10RA705);甘肃省高等学校创新基金项目(2021B-008);兰州大学第一医院院内基金项目(ldyyyn2021-15);兰州大学学生创新创业行动计划项目(20220060217)。
摘 要:目的运用生物信息学方法探讨梗阻性无精子症不同Johnsen评分的睾丸组织蛋白质组学,分析差异表达蛋白质及其功能和生物学过程,为患者的治疗提供参考。方法收集2020年6月至2021年4月于我院生殖医学中心就诊的22例梗阻性无精子症患者,根据睾丸穿刺病理学Johnsen评分将其分为生精功能正常组(对照组,Johnsen评分9~10,共12例)和生精功能低下组(实验组,Johnsen评分8,共10例)。运用LC-MS/MS检测技术筛选差异表达蛋白质,进一步利用IPA软件包对差异蛋白进行功能分析。结果通过比较梗阻性无精子症患者不同Johnsen评分的睾丸组织蛋白组学,对照组和实验组分别鉴定出蛋白质2883和2372个,包含差异蛋白544个,其中相对于对照组,实验组204个表达上调,340个表达下调。差异蛋白IPA分析发现,实验组睾丸组织中,内皮细胞连接、糖酵解等途径明显抑制,而14-3-3通路、Rho通路等明显激活。功能分析证明实验组睾丸组织中,弱精子症以及细胞死亡明显激活,而蛋白代谢,细胞内吞作用以及配子发生过程等明显抑制。以上结果说明蛋白质组学可以明显反映精子发生异常的病理变化。结论利用生物信息学方法对梗阻性无精子症患者不同Johnsen评分睾丸组织的蛋白质信息进行挖掘,为进一步研究精子发生机制及寻找生物标志物提供参考。Objective To analyze the proteomics of testicular tissue in the patients of obstructive azoospermia with different Johnsen scores and explore the differentially-expressed proteins and their functions and biological processes using bioinformatics to provide basis for the treatment of patients.Methods A total of 22 patients with obstructive azoospermia who admitted to reproductive Medicine Center of our hospital from June 2020 to April 2021 were enrolled in the study.According to the Johnsen score of testicular puncture pathology,they were divided into two groups:normal spermatogenesis group(control group,Johnsen score 9-10,total 12 cases)and low spermatogenesis group(experimental group,Johnsen score 8,total 10 cases).LC-MS/MS platform was used to screen differentially expressed proteins between two groups,and IPA software package was used for functional analysis of differentially expressed proteins.Results A total of 2883 and 2372proteins were identified in the control group and the experimental group,respectively,and 544 differentially expressed proteins were obtained by comparing the testicular proteomics of obstructive azoospermia with different Johnsen scores.Compared with the control group,204 proteins in the experimental group were up-regulated and 340 proteins were downregulated.IPA analysis of differential proteins showed that endothelial cell connection,glycolysis and other pathways were markedly inhibited,while 14-3-3 pathway and Rho pathway were significantly activated in testicular tissue of the experimental group.Functional analysis showed that asthenospermia and cell death were noticeably activated in the testes of the experimental group,while protein metabolism,endocytosis and gametogenesis were significantly inhibited.These results suggested that testicular proteomics can reflect the pathological changes of abnormal spermatogenesis.Conclusion The bioinformatics method is used for data mining of proteins of testicular tissue with different Johnsen scores in the patients of inobstructive azoospermia,
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