Abstract
Purpose
Materials and Methods
Results
ACKNOWLEDGMENTS
Notes
AUTHORS' CONTRIBUTIONS:
Research conception and design: Choung-Soo Kim, Dalsan You and Yong Man Kim.
Performing the experiments: Jong Keun Kim, Myoung Jin Jang, Ki Ryung Choi, Geehyun Song, Bo Hyun Kim, Ha Chul Shin and Dalsan You.
Data analysis and interpretation: Jong Keun Kim, Ki Ryung Choi, Geehyun Song, Ha Chul Shin, Nayoung Suh and Choung-Soo Kim.
Statistical analysis: Jong Keun Kim, Ki Ryung Choi, Geehyun Song, Ha Chul Shin and Dalsan You.
Drafting of the manuscript: Jong Keun Kim, Myoung Jin Jang, Bo Hyun Kim, Dalsan You and Choung-Soo Kim.
Critical revision of the manuscript: Jong Keun Kim, Dalsan You and Choung-Soo Kim.
Supervision other (specify): Nayoung Suh, Tai Young Ahn and Choung-Soo Kim.
Receiving grant: Choung-Soo Kim.
Approval of final manuscript: all authors.
References
SUPPLEMENTARY MATERIALS
Table 1
Mating index (%)=(No. of male or female rats mated/No. of female rats placed with male rats)×100
Fertility index (%)=(No. of male or female rats fertilization/No. of mated male or female rats)×100
Pregnancy index (%)=(No. of male or female rats pregnant/No. of female rats placed with male rats)×100
Mating performance was analyzed by Fisher's exact test.
Table 2
Implantation rate (%)=(No. of implantation/No. of corpora lutea)×100
Embryo mortality (%)=(No. of resorption/No. of implantation)×100
Quantitative data were expressed as mean values with standard deviations.
The number of corpora lutea, the number of implantation, and implantation rate were analyzed using the Bartlett's test for homogeneity of variance. If equal variance was assumed, one-way analysis of variance was used, if significant, followed by the Dunnett's t-test for multiple comparisons. If equal variance was not assumed, the Kruskal–Wallis test was used, if significant, followed by the Steel's test for multiple comparisons. Embryo mortality was analyzed using the Kruskal–Wallis test was used, if significant, followed by the Steel's test for multiple comparisons.
Table 3
Quantitative data were expressed as mean values with standard deviations.
The organ weights were analyzed using the Bartlett's test for homogeneity of variance. If equal variance was assumed, one-way analysis of variance was used, if significant, followed by the Dunnett's t-test for multiple comparisons. If equal variance was not assumed, the Kruskal–Wallis test was used, if significant, followed by the Steel's test for multiple comparisons.
Table 4
Quantitative data were expressed as mean values with standard deviations.
The organ weights were analyzed using the Bartlett's test for homogeneity of variance. If equal variance was assumed, one-way analysis of variance was used, if significant, followed by the Dunnett's t-test for multiple comparisons. If equal variance was not assumed, the Kruskal–Wallis test was used, if significant, followed by the Steel's test for multiple comparisons.
Table 5
Quantitative data were expressed as mean values with standard deviations.
Parameters of sperm motility were analyzed using the Bartlett's test for homogeneity of variance. If equal variance was assumed, one-way analysis of variance was used, if significant, followed by the Dunnett's t-test for multiple comparisons. If equal variance was not assumed, the Kruskal–Wallis test was used, if significant, followed by the Steel's test for multiple comparisons.
MOT, motility; VAP, velocity of average path (VAP is computed in two passes, using an adaptive smoothing algorithm to compute running average.); VSL, velocity straight line (VSL is calculated by dividing the straight line distance between the first and last points of the track by the time interval.); VCL, velocity curvilinear (VCL is the velocity measured along the actual track of the sperm.); ALH, amplitude of lateral head displacement (ALH is the lateral head displacement amplitude, representing a measure of the width of the head swing along the sperm track.); LIN, linearity (LIN=VSL/VCL×100); STR, straightness (STR=VSL/VAP×100); BCF, beat-cross frequency (BCF is the least satisfactory parameter used to describe sperm motion.).
Table 6
Quantitative data were expressed as mean values with standard deviations.
Sperm malformations were analyzed using the Bartlett's test for homogeneity of variance. If equal variance was assumed, one-way analysis of variance was used, if significant, followed by the Dunnett's t-test for multiple comparisons. If equal variance was not assumed, the Kruskal–Wallis test was used, if significant, followed by the Steel's test for multiple comparisons. Sperm deformity was analyzed using the Kruskal–Wallis test was used, if significant, followed by the Steel's test for multiple comparisons.
Table 7
Group | No. of sperms (×106/g) |
---|---|
Control (n=10) | 191±27 |
Low-dose (n=10) | 189±39 |
Moderate-dose (n=10) | 196±38 |
High-dose (n=10) | 201±39 |
Quantitative data were expressed as mean values with standard deviations.
Sperm count was analyzed using the Bartlett's test for homogeneity of variance. If equal variance was assumed, one-way analysis of variance was used, if significant, followed by the Dunnett's t-test for multiple comparisons. If equal variance was not assumed, the Kruskal–Wallis test was used, if significant, followed by the Steel's test for multiple comparisons.