精子核蛋白成熟度与精液常规参数的相关性分析

Analysis on correlation between sperm nucleoprotein maturity and semen routine parameters

摘要:

目的 探讨精子核蛋白成熟度与常规精液参数之间的相关性。方法 随机选择371 例精液标本， 利用伟力彩色精子质量检测系统进行精液常规分析，采用Diff-Quick 快速染色法和苯胺蓝染色法分别检测精子 形态及精子核蛋白成熟度。依据核蛋白成熟度分组，比较精液常规参数的差异并分析核蛋白成熟度与精液常 规参数间是否存在相关性。结果 核蛋白成熟度<70% 时，精子浓度、精子总数、前向运动精子比例及正常形态 精子比例均低于核蛋白成熟度≥ 70% 组，差异有统计学意义（P <0.05）；核蛋白成熟度与精子浓度、精子总数、 前向运动精子比例及正常形态比例精子呈正相关（P <0.05）；受试者工作特征曲线（ROC）分析表明，精子浓度、 精子总数、前向运动精子比例及正常精子形态可预测核蛋白成熟度，且精子总数预测的准确性最高。结论 精 子核蛋白成熟度与精子浓度、精子总数、前向运动精子比例及正常形态精子比例等常规精液参数具有相关性， 常规精液参数可预测核蛋白成熟度。

Abstract:

Objective To investigate whether sperm nucleoprotein maturity was correlated with routine semen parameters. Methods A total of 371 semen samples were randomly selected and routine semen parameters were performed by computer assisted sperm analysis. Sperm was stained with Diff-Quick method and normal morphology was evaluated. The sperm nucleoprotein maturity value was detected by aniline blue assay. Independent T-test was used to determine the effect of nucleoprotein maturity on conventional semen parameters, and correlation analysis of nucleoprotein maturity with each semen parameter was performed. Results After classification of the quality of spermatogenesis based on nucleoprotein maturity ( ≥ 70% vs < 70%), sperm concentration, count, progressive motility and normal morphology were decreased in the group with nucleoprotein maturity < 70% when compared with the normal group with nucleoprotein maturity ≥ 70% (P < 0.05). There was significant positive relation between nucleoprotein maturity with sperm concentration, count, progressive motility, as well as normal morphology. Sperm concentration, count, progressive motility as well as normal morphology could be used as prognostic predictor for nucleoprotein maturity and among them, sperm count exhibited the highest accuracy. Conclusion There is positive correlation between nucleoprotein maturity and conventional semen parameters, such as sperm concentration, count,progressive motility and normal morphology, which in turn can be served as prognostic predictor for nucleoprotein maturity.