Proteomic characteristics of spermatozoa in normozoospermic patients with infertility
Proteomic characteristics of spermatozoa in normozoospermic patients with infertility
复制标题
正常精子不育症患者精子的蛋白质组学特征
DOI：
10.1016/j.jprot.2012.06.021
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发表时间：
2012-09-18
影响因子：
3.3
通讯作者：
Qiao, Zhongdong
中科院分区：
文献类型：
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作者：
Xu, Wangjie;Hu, Hongliang;Qiao, Zhongdong
男性不育是全世界男性面临的一个令人头疼但又普遍存在的问题。然而，在大多数情况下，其病因仍不清楚。本研究的目的是筛选和研究精子临床参数符合WHO指南的不育患者精子中差异表达的蛋白质。通过MALDI-TOF/TOF分析，我们从精子样品2D凝胶中最丰富的31个差异蛋白质点中鉴定出24个差异表达蛋白质，并验证和分析了这些蛋白质在精子中的定位。随后的数据挖掘分析表明，这24个蛋白质被分为5个功能聚类群：有性繁殖、创伤反应、代谢过程、细胞生长和/或维持，但不清楚。此外，在24个差异表达的蛋白质中，有9个参与了一个主要的途径网络，包括转化生长因子-β1、MYC、β-雌二醇、MYCN和TP53，它们被认为参与了细胞的通讯、增殖和分化。不育精子和正常可育精子在信号和代谢途径上的差异可能与精子的运动、获能、顶体反应和精子-卵母细胞通讯有关。这些蛋白质是潜在的诊断标记物，对这些蛋白质的研究有助于进一步了解不孕症的发病机制。(C)2012爱思唯尔B.V.保留所有权利。
Male infertility is a vexing yet common problem for men all over the world. However, its etiology remains unknown in most cases. The aim of this study was to screen and investigate the differentially expressed proteins in the sperm of infertile patients, whose sperm clinical parameters met the WHO guidelines. Using MALDI-TOF/TOF analysis, we identified 24 differentially expressed proteins from the 31 most abundant different protein spots in 2D gels of sperm samples, then verified and analyzed localization in sperm of the proteins. Following data mining analysis showed that these 24 proteins were categorized into five functional clustering groups: sexual reproduction, response to wounding, metabolic process, cell growth and/or maintenance, not clear. Additionally, 9 of the 24 differentially expressed proteins are involved in a main pathway network including TGF-beta 1, MYC, beta-estradiol, MYCN, and TP53, which are known to be involved in cell communication, proliferation and differentiation. The observed differences in signaling and metabolic pathways between the infertile sperm and the normal fertile spermatozoa have implications in sperm motility, capacitation, acrosomal reaction and sperm-oocyte communication. These proteins are potential diagnostic markers, and the study of these proteins could help gain further insight into the pathogenic mechanisms in infertility. (C) 2012 Elsevier B.V. All rights reserved.