Núñez-Martinez I, Moran J M, Peña F J
Veterinary Teaching Hospital, Section of Reproduction and Obstetrics, Department of Herd Health and Medicine, Faculty of Veterinary Medicine, Avd de la Universidad s/n 10071 Cáceres, Spain.
Zygote. 2007 Aug;15(3):257-66. doi: 10.1017/S0967199407004248.
A statistical approach using sequentially principal component analysis (PCA) clustering and discriminant analysis was developed to disclose morphometric sperm subpopulations. In addition, we used a similar approach to disclose subpopulations of spermatozoa with different degrees of DNA fragmentation. It is widely accepted that sperm morphology is a strong indicator of semen quality and since the sperm head mainly comprises the sperm DNA, it has been proposed that subtle changes in sperm head morphology may be related to abnormal DNA content. Semen from four mongrel dogs (five replicates per dog) were used to investigate DNA quality by means of the sperm chromatin structure assay (SCSA), and for computerized sperm morphometry (ASMA). Each sperm head was measured for nine primary parameters: head area (A), head perimeter (P), head length (L), head width (W), acrosome area (%), midpiece width (w), midpiece area (a), distance (d) between the major axes of the head and midpiece, angle (theta) of divergence of the midpiece from the head axis; and four parameters of head shape: FUN1 (L/W), FUN2 (4pi A/P2), FUN3 ((L - W)/(L + W)) and FUN 4 (pi LW/4A). The data matrix consisted of 2361 observations, (morphometric analysis on individual spermatozoa) and 63,815 observations for the DNA integrity. The PCA analysis revealed five variables with Eigen values over 1, representing more than 79% of the cumulative variance. The morphometric data revealed five sperm subpopulations, while the DNA data gave six subpopulations of spermatozoa with different DNA integrity. Significant differences were found in the percentage of spermatozoa falling in each cluster among dogs (p < 0.05). Linear regression models including sperm head shape factors 2, 3 and 4 predicted the amount of denatured DNA within each individual spermatozoon (p < 0.001). We conclude that the ASMA analysis can be considered a powerful tool to improve the spermiogram.
我们开发了一种采用顺序主成分分析(PCA)聚类和判别分析的统计方法,以揭示形态计量学精子亚群。此外,我们使用了类似的方法来揭示具有不同程度DNA碎片化的精子亚群。人们普遍认为精子形态是精液质量的一个重要指标,并且由于精子头部主要包含精子DNA,因此有人提出精子头部形态的细微变化可能与异常DNA含量有关。我们使用来自四只杂种狗的精液(每只狗五个重复样本),通过精子染色质结构分析(SCSA)和计算机辅助精子形态计量学(ASMA)来研究DNA质量。对每个精子头部测量九个主要参数:头部面积(A)、头部周长(P)、头部长度(L)、头部宽度(W)、顶体面积(%)、中段宽度(w)、中段面积(a)、头部和中段主轴之间的距离(d)、中段与头部轴的发散角度(theta);以及四个头部形状参数:FUN1(L/W)、FUN2(4πA/P²)、FUN3((L - W)/(L + W))和FUN4(πLW/4A)。数据矩阵由2361个观测值(对单个精子的形态计量分析)和用于DNA完整性的63815个观测值组成。主成分分析揭示了五个特征值超过1的变量,占累积方差的79%以上。形态计量学数据揭示了五个精子亚群,而DNA数据给出了六个具有不同DNA完整性的精子亚群。在不同狗之间,每个聚类中精子的百分比存在显著差异(p < 0.05)。包含精子头部形状因子2、3和4的线性回归模型预测了每个单个精子内变性DNA的量(p < 0.001)。我们得出结论,ASMA分析可被视为改善精子图谱的有力工具。