Semen analysis

About: Semen analysis is a research topic. Over the lifetime, 4909 publications have been published within this topic receiving 143225 citations.

Prenatal and adult exposures to smoking are associated with adverse effects on reproductive hormones, semen quality, final height and body mass index

Abstract: Background Exposure to tobacco smoking prenatally is a risk factor for reduced semen quality, but whether the exposure has adverse effects on reproductive hormones, pubertal development or adult BMI remain largely unexplored. The aim of this study was to investigate the associations between these factors while controlling for the effects of current smoking in young adulthood. Methods This cross-sectional study (1996-2006) included 3486 Danish men (median age: 19 years), participating in a semen-quality study. Data were obtained from questionnaires, physical examinations, semen analyses and assessments of reproductive hormones. The main outcome measures were markers of pubertal onset, BMI, reproductive hormones and semen variables. Results Maternal smoking during pregnancy was associated with earlier onset of puberty (e.g. early pubic hair development in 25.2 versus 18.9% of unexposed subjects), lower final adult height (median: 1.80 versus 1.82 cm), higher BMI (22.9 versus 22.4), smaller testicles (14.0 versus 14.5 ml), lower total sperm counts (119 versus 150 million), reduced spermatogenesis-related hormones (e.g. inhibin-B/FSH 66 versus 73 pg/mU) and higher calculated free testosterone (free-T, 2.38 versus 2.33 nmol/l). If not exposed prenatally, men's own smoking was associated with increased total testosterone but unchanged free-T. For smokers who had been exposed prenatally, total testosterone was increased but free-T was reduced (2.30 versus 2.38 nmol/l, P = 0.003) due to higher levels of sex hormone-binding globulin. Conclusions Prenatal exposure to tobacco may lead to faster pubertal development possibly caused by a higher free-T, and to higher adult BMI and impairment of testicular function. The findings may not be clinical relevant for the individual but are of public health importance, and add to the knowledge of effects of tobacco smoking.

Male Reproductive Toxicology

Abstract: R.E. Chapin and J.J. Heindel, Introduction. C. Chubb, Male Mouse Sexual Behaviour Test. M.D. Culler, In Vitro Techniques for Assessing Pituitary Secretory Function. R.A. Hess and B.J Moore, Histological Methods for Evaluation of the Testis. W.F. Blazak, KA. Treinen, and P.E. Juniewicz, The Application of Testicular Spermatid Head Counts in the Assessment of Male Reproductive Toxicity. C.C. Linder and M.D. Griswold, Stage Synchronization in Rat Seminiferous Tubules Using Vitamin A Depletion and Repletion. M.L. Meistrich and Maria E.A.B. van Beek, Spermatogonial Stem Cells: Assessing Their Survival and Ability to Produce Differentiated Cells. W.M. Generoso and W. W. Piegorsch, Dominant Lethal Tests in Male and Female Mice. M. Parvinen, J. Toppari, and J. Laehdetie, Transillumination-Phase Contrast Microscopic Techniques for Evaluation of Male Germ Cell Toxicity and Matagenicity. G.R. Klinefelter, W.R. Kelce, and M.P. Hardy, The Isolation and Culture of Leydig Cells from Adult Rats. L.B. Biegel J.C. Cook, and M.E. Hurtt, Isolation and Primary Culture of Leydig Cells. A.H. Payne and L. Sha, Purification and Primary Culture of Leydig Cells. W.W. Ku and R.E. Chapin, The Preparation and Use of Sertoli Cell-Enriched Cultures from 18-Day-Old Rats. A. Steinberger and J-P. Clinton, Two-Compartment Cultures of Sertoli Cells: Applications in Testicular Toxicology. D.A. O'Brien, Isolation, Separation, and Short-Term Culture of Spermatogenic Cells. G.L. Rehnberg, The Collection of Interstitial Fluid and Seminiferous Tubule Fluid from the Rat Testis. G.R. Klinefelter, The Isolation and Culture of Epididymal Epithelial Cells from Adult Rats. B.J Danzo, Evaluation of Protein Synthesis by the Epididymis. G.P. Toth, E.J. Read, and M.K. Smith, Utilizing Cryo Resources CellSoft Computer-Assisted Sperm Analysis System for Rat Sperm Motility Studies. V.L. Slott and S. D, Perreault, Computer-Assisted Sperm Analysis of Rodent Epididymal Sperm Motility Using the Hamilton-Thorn Motility Analyzer. R. Filler, Evaluation of Rat Epididymal Sperm Morphology. J. Williams, Semen Analysis and Fertility Assessment in the Rabbit. S.M. Schrader, General Techniques for Assessing Male Reproductive Potential in Human Field Studies.

Testicular function in a birth cohort of young men

Abstract: STUDY QUESTION By investigating a birth cohort with a high ongoing participation rate to derive an unbiased population, what are the parameters and influences upon testicular function for a population not selected with regard to fertility? SUMMARY ANSWER While varicocele, cryptorchidism and obesity may impact on human testicular function, most common drug exposures and the presence of epididymal cysts appear to have no or minimal adverse impact. WHAT IS KNOWN ALREADY The majority of previous attempts to develop valid reference populations for spermatogenesis have relied on potentially biased sources such as recruits from infertility clinics, self-selected volunteer sperm donors for research or artificial insemination or once-fertile men seeking vasectomy. It is well known that studies requiring semen analysis have low recruitment rates which consequently question their validity. However, there has been some concern that a surprisingly high proportion of young men may have semen variables that do not meet all the WHO reference range criteria for fertile men, with some studies reporting that up to one half of participants have not meet the reference range for fertile men. Reported median sperm concentrations have ranged from 40 to 60 million sperm/ml. STUDY DESIGN, SIZE AND DURATION The Western Australian Pregnancy Cohort (Raine) was established in 1989. At 20-22 years of age, members of the cohort were contacted to attend for a general follow-up, with 753 participating out of the 913 contactable men. Of these, 423 men (56% of participants in the 20-22 years cohort study, 46% of contactable men) participated in a testicular function study. Of the 423 men, 404 had a testicular ultrasound, 365 provided at least one semen sample, 287 provided a second semen sample and 384 provided a blood sample. PARTICIPANTS/MATERIALS, SETTING, METHODS Testicular ultrasound examinations were performed at King Edward Memorial Hospital, Subiaco, Perth, for testicular volume and presence of epididymal cysts and varicoceles. Semen samples were provided and analysed by standard semen assessment and a sperm chromatin structural assay (SCSA) at Fertility Specialists of Western Australia, Claremont, Perth. Serum blood samples were provided at the University of Western Australia, Crawley, Perth and were analysed for serum luteinizing hormone (LH), follicular stimulating hormone (FSH), inhibin B, testosterone, dihydrotestosterone (DHT), dehydroepiandrosterone (DHEA), estradiol, estrone and the primary metabolites of DHT: 5α-androstane-3α,17β-diol (3α-diol) and 5-α androstane-3-β-17-beta-diol (3β-diol). Serum steroids were measured by liquid chromatography, mass spectrometry and LH, FSH and inhibin B were measured by ELISA assays. MAIN RESULTS AND THE ROLE OF CHANCE Cryptorchidism was associated with a significant reduction in testicular (P = 0.047) and semen (P = 0.027) volume, sperm concentration (P = 0.007) and sperm output (P = 0.003). Varicocele was associated with smaller testis volume (P < 0.001), lower sperm concentration (P = 0.012) and total sperm output (P = 0.030) and lower serum inhibin B levels (P = 0.046). Smoking, alcohol intake, herniorrhaphy, an epididymal cyst, medication and illicit drugs were not associated with any significant semen variables, testicular volume or circulating reproductive hormones. BMI had a significantly negative correlation with semen volume (r = -0.12, P = 0.048), sperm output (r = -0.13, P = 0.02), serum LH (r = -0.16, P = 0.002), inhibin B (r = -0.16, P < 0.001), testosterone (r = -0.23, P < 0.001) and DHT (r = -0.22, P < 0.001) and a positive correlation with 3αD (r = 0.13, P = 0.041) and DHEA (r = 0.11, P = 0.03). Second semen samples compared with the first semen samples in the 287 participants who provided two samples, with no significant bias by Bland-Altman analysis. Testis volume was significantly correlated positively with sperm concentration (r = 0.25, P < 0.001) and sperm output (r = 0.29, P < 0.001) and inhibin B (r = 0.42, P < 0.001), and negatively correlated with serum LH (r = -0.24, P < 0.001) and FSH (r = -0.32, P < 0.001). SCSA was inversely correlated with sperm motility (r = -0.20, P < 0.001) and morphology (r = -0.16, P = 0.005). WHO semen reference criteria were all met by only 52 men (14.4%). Some criteria were not met at first analysis in 15-20% of men, including semen volume (<1.5 ml, 14.8%), total sperm output (<39 million, 18.9%), sperm concentration (<15 million/ml, 17.5%), progressive motility (<32%, 14.4%) and morphologically normal sperm (<4%, 26.4%), while all five WHO criteria were not met in four participants (1.1%). LIMITATIONS AND REASONS FOR CAUTION This was a large cohort study; however, potential for recruitment bias still exists. Men who did not participate in the testicular evaluation study (n = 282) did not differ from those who did (n = 423) with regard to age, weight, BMI, smoking or circulating reproductive hormones (LH, FSH, inhibin B, T, DHT, E2, E1, DHEA, 3α-diol, 3β-diol), but were significantly shorter (178 versus 180 cm, P = 0.008) and had lower alcohol consumption (P = 0.019) than those who did participate. WIDER IMPLICATIONS OF THE FINDINGS This study demonstrated the feasibility of establishing a birth cohort to provide a relatively unbiased insight into population-representative sperm output and function and of investigating its determinants from common exposures. While varicocele, cryptorchidism and obesity may impact on human testicular function, most common drug exposures and the presence of epididymal cysts appear to have little adverse impact, and this study suggests that discrepancies from the WHO reference ranges are expected, due to its derivation from non-population-representative fertile populations.

Processed Meat Intake Is Unfavorably and Fish Intake Favorably Associated with Semen Quality Indicators among Men Attending a Fertility Clinic

Abstract: Emerging literature suggests that men's diets may affect spermatogenesis as reflected in semen quality indicators, but literature on the relation between meat intake and semen quality is limited. Our objective was to prospectively examine the relation between meat intake and indicators of semen quality. Men in subfertile couples presenting for evaluation at the Massachusetts General Hospital Fertility Center were invited to participate in an ongoing study of environmental factors and fertility. A total of 155 men completed a validated food-frequency questionnaire and subsequently provided 338 semen samples over an 18-mo period from 2007-2012. We used linear mixed regression models to examine the relation between meat intake and semen quality indicators (total sperm count, sperm concentration, progressive motility, morphology, and semen volume) while adjusting for potential confounders and accounting for within-person variability across repeat semen samples. Among the 155 men (median age: 36.1 y; 83% white, non-Hispanic), processed meat intake was inversely related to sperm morphology. Men in the highest quartile of processed meat intake had, on average, 1.7 percentage units (95% CI: -3.3, -0.04) fewer morphologically normal sperm than men in the lowest quartile of intake (P-trend = 0.02). Fish intake was related to higher sperm count and percentage of morphologically normal sperm. The adjusted mean total sperm count increased from 102 million (95% CI: 80, 131) in the lowest quartile to 168 million (95% CI: 136, 207) sperm in the highest quartile of fish intake (P-trend = 0.005). Similarly, the adjusted mean percentages of morphologically normal sperm for men in increasing quartiles of fish intake were 5.9 (95% CI: 5.0, 6.8), 5.3 (95% CI: 4.4, 6.3), 6.3 (95% CI: 5.2, 7.4), and 7.5 (95% CI: 6.5, 8.5) (P-trend = 0.01). Consuming fish may have a positive impact on sperm counts and morphology, particularly when consumed instead of processed red meats.