ABSTRACT
<p><b>Objective</b>To investigate the relationship of the characteristics of sperm donors with the results of screening and provide some reference for the screening of sperm donors.</p><p><b>METHODS</b>We statistically analyzed the screening data about 12 362 sperm donors at the Guangdong Human Sperm Bank from January 2003 to June 2017 and the relationship of the eligibility rate of screening with the donors' age, education, occupation, marriage, and fatherhood.</p><p><b>RESULTS</b>Of the 12 362 sperm donors, 3 968 (32.1%) met the standards of semen quality and 3 127 (25.3%) filled all the requirements of sperm donation. The eligibility rate of screening was 27.7% in the donors aged 20－24 years, 24.3% in those aged 25－29 years, 23.8% in those aged 30－34 years, and 17.5% in those aged =≥35 years (P < 0.01); 23.5% in the senior high school students, 24% in the junior college students, 25.9% in the undergraduates, and 30.3% in the postgraduates (P < 0.01); 29.3% in the students versus 22.9% in the others (P < 0.01), 41.5% in the married versus 20.7% in the unmarried (P < 0.01), and 45.6% in the fathers versus 20.9% in the childless husbands (P < 0.01).</p><p><b>CONCLUSIONS</b>A higher eligibility rate of screening was found among the sperm donors aged <35 years or with a bachelor's or higher degree, particularly among students.</p>
Subject(s)
Adult , Humans , Male , Young Adult , Semen Analysis , Reference Standards , Spermatozoa , Students , Tissue Donors , Tissue and Organ ProcurementABSTRACT
Sperm DNA damage is recognized as an important biomarker of male infertility. To investigate this, sperm DNA damage was assessed by the sperm chromatin dispersion (SCD) test in semen and motile spermatozoa harvested by combined density gradient centrifugation (DGC) and swim-up in 161 couples undergoing in vitro fertilization (IVF). Semen analysis and sperm DNA damage results were compared between couples who did or did not achieve pregnancy. The sperm DNA damage level was significantly different between the two groups (P < 0.05) and was negatively correlated with IVF outcomes. Logistic regression analysis confirmed that it was an independent predictor for achieving clinical pregnancy. The effects of different levels of sperm DNA damage on IVF outcomes were also compared. There were significant differences in day 3 embryo quality, blastocyst formation rate, and implantation and pregnancy rates (P < 0.05), but not in the basic fertilization rate between the two groups. Thus, sperm DNA damage as measured by the SCD appears useful for predicting the clinical pregnancy rate following IVF.
Subject(s)
Adult , Female , Humans , Male , Pregnancy , Chromatin/chemistry , DNA Damage , Embryo Implantation , Embryonic Development , Fertilization in Vitro , Predictive Value of Tests , Pregnancy Outcome , Pregnancy Rate , Semen Analysis , Sperm Injections, Intracytoplasmic , Sperm Motility , Spermatozoa/ultrastructureABSTRACT
<p><b>OBJECTIVE</b>To explore the correlation between the biological characteristics of volunteer donors and sperm parameters.</p><p><b>METHODS</b>Sperm parameters were analyzed for 778 primary volunteer donors by CASA system with standard methods recommended by WHO including sperm concentration, motility rate, VCL, VSL, ALH, LIN, STR and BCF, and their biological characteristics were recorded.</p><p><b>RESULTS</b>Of all the volunteer donors, students accounted for more than a third, 89.2 percent were under the age of 35 years, 71.6 percent between 166 and 175 cm in height, 91.7 percent of normal weight and 77.1 percent with college education. The median sperm concentration and motility rate were 107.00 x 10(6)/ml and 75 percent respectively. Age was weakly correlated with such semen indexes as concentration (r = 0.210, P = 0.000) , motility rate (r = 0.213, P = 0.000), volume (r = 0.165, P = 0.002), VAP (r = 0.259, P = 0.000), VSL (r = 0.281, P = 0.000), VCL (r = 0.190, P = 0.000), BCF (r = 0.243, P = 0.000) and LIN (r = 0.192, P = 0.000). The semen indexes of the 26-35 age group were a little better than those of the 20-25. Height showed no correlation to semen indexes. Education and occupation were somewhat related with other sperm parameters (P < 0.01) than ALH (P = 0.695/0.886).</p><p><b>CONCLUSION</b>Age, occupation and education bear some correlation with sperm parameters except ALH, while height has none with any of them.</p>