AIMTo assess the changes in semen parameters in men with spinal cord injury (SCI) and the possible causes of these changes.

METHODSThe study included 45 subjects with SCI. Semen retrieval was done by masturbation (2), vigorous prostatic massage (n = 13), penile vibratory stimulation (n = 13) or electroejaculation (n = 17).

RESULTSThe semen of men with SCI showed normal volume (2.3 +/- 1.9 mL) and sperm count (85.0 X 10(6) +/- 83.8 X 10(6)/mL) with decreased motility (11.6% +/- 0.1%), vitality (18.5% +/- 5.2%) and normal forms (17.5% +/- 3.4%), and pus cells has been increased (6.0 X 10(6) +/- 8.2 X 10(6)/mL). Total (13.4 +/- 9.9 vs. 7.1 +/- 6.8) and progressive (4.4 +/- 3.9 vs.2.2 +/- 2.1) motility were significantly higher in subjects with lower scrotal temperatures. There was no statistical significant difference between electroejaculation and penile vibratory stimulation groups as regards any of the semen parameters. Subjects'age, infrequent ejaculation, injury duration and hormonal profile showed no significant effect on semen parameters.

CONCLUSIONThe defining characteristics of the seminogram in men with SCI are normal volume and count with decreased sperm motility, vitality and normal forms, and the increased number of pus cells. The most acceptable cause of the deterioration of semen is elevated scrotal temperature.

Disease Progression ; Ejaculation ; Hormones ; blood ; Humans ; Male ; Massage ; Masturbation ; Movement ; Prostate ; physiopathology ; Semen ; physiology ; Sperm Count ; Sperm Motility ; Spinal Cord Injuries ; physiopathology ; rehabilitation ; Vibration

Purpose: This is the first study to design and assess a research capacity building (RCB) specifically tailored for clinical and non-clinical andrology practitioners worldwide. We appraised: 1) the barriers and enablers to research among these practitioners; 2) attendees’ satisfaction with the webinar; and 3) research knowledge acquisition as a result of the webinar (before/after quiz). Materials and Methods: A online RCB webinar was designed, comprising two presentations in research design and systematic review/meta-analysis (SR/MA). An online survey using validated published questionnaires assessed the three above-stated objectives. Paired t-test compared the means of the pre- and post-webinar scores. Subgroup analysis was performed on the participants’ professional background, sex, and number of years in practice. Results: A total of 237 participants attended the webinar, of which 184 completed the survey and are included in the current analysis. Male participants were about double the females and 60.9% were from Asian countries. The most common research enablers were to publish scientific papers (14.8%) and to develop research (14.7%) or new skills (12.7%). The most common barriers were the lack of training in research (12.4%), training in research software (11.8%), and time for research (11.8%). Satisfaction with the webinar was considerably high (86.3%–88.4%) for the different features of the webinar. Compared to the pre-webinar knowledge level, there were significant improvements in participants’ research knowledge acquisition after the webinar in terms of the total score for the quiz (13.7±4.31 vs. 21.5±4.7), as well as the scores for the study design (7.12±2.37 vs. 11.5±2.69) and SR/MA sessions (6.63±2.63 vs. 9.93±2.49) (p<0.001 for each). Conclusions Clinical and non-clinical andrology webinar attendees recognized the importance of research and exhibited a range of research skills, knowledge and experience. There were significant improvements in the participants’ knowledge and understanding of the components of scientific research. We propose an RCB model that can be implemented and further modeled by organizations with similar academic research goals.

AIMTo assess seminal plasma anti-Müllerian hormone (AMH) level relationships in fertile and infertile males.

METHODSEighty-four male cases were studied and divided into four groups: fertile normozoospermia (n = 16), oligoasthenoteratozoospermia (n = 15), obstructive azoospermia (OA) (n = 13) and non-obstructive azoospermia (NOA) (n = 40). Conventional semen analysis was done for all cases. Testicular biopsy was done with histopathology and fresh tissue examination for testicular sperm extraction (TESE) in NOA cases. NOA group was subdivided according to TESE results into unsuccessful TESE (n = 19) and successful TESE (n = 21). Seminal plasma AMH was estimated by enzyme linked immunosorbent assay (ELISA) and serum follicular stimulating hormone (FSH) was estimated in NOA cases only by radioimmunoassay (RIA).

RESULTSMean seminal AMH was significantly higher in fertile group than in oligoasthenoteratozoospermia with significance (41.5 +/- 10.9 pmol/L vs. 30.5 +/- 10.3 pmol/L, P < 0.05). Seminal AMH was not detected in any OA patients. Seminal AMH was correlated positively with testicular volume (r = 0.329, P = 0.005), sperm count (r = 0.483, P = 0.007), sperm motility percent (r = 0.419, P = 0.021) and negatively with sperm abnormal forms percent (r = -0.413, P = 0.023). Nonsignificant correlation was evident with age (r = -0.155, P = 0.414) and plasma FSH (r = -0.014, P = 0.943). In NOA cases, seminal AMH was detectable in 23/40 cases, 14 of them were successful TESE (57.5%) and was undetectable in 17/40 cases, 10 of them were unsuccessful TESE (58.2%).

CONCLUSIONSeminal plasma AMH is an absolute testicular marker being absent in all OA cases. However, seminal AMH has a poor predictability for successful testicular sperm retrieval in NOA cases.

Adult ; Anti-Mullerian Hormone ; Asthenozoospermia ; therapy ; Azoospermia ; therapy ; Follicle Stimulating Hormone ; analysis ; Glycoproteins ; analysis ; Humans ; Infertility, Male ; therapy ; Male ; Predictive Value of Tests ; Semen ; chemistry ; physiology ; Sperm Count ; Sperm Motility ; Spermatozoa ; physiology ; Testicular Hormones ; analysis ; Tissue and Organ Harvesting ; methods

AIMTo access beta-endorphin levels in serum as well as seminal plasma in different infertile male groups.

METHODSBeta-endorphin was estimated in the serum and seminal plasma by enzyme-linked immunosorbent assay (ELISA) method in 80 infertile men equally divided into four groups: non-obstructive azoospermia (NOA), obstructive azoospermia (OA), congenital bilateral absent vas deferens (CBVAD) and asthenozoospermia. The results were compared to those of 20 normozoospermic proven fertile men.

RESULTSThere was a decrease in the mean levels of beta-endorphin in the seminal plasma of all successive infertile groups (mean +/- SD: NOA 51.30 +/- 27.37, OA 51.88 +/- 9.47, CBAVD 20.36 +/- 13.39, asthenozoospermia 49.26 +/- 12.49 pg/mL, respectively) compared to the normozoospermic fertile control (87.23 +/- 29.55 pg/mL). This relation was not present in mean serum level of beta-endorphin between four infertile groups (51.09 +/- 14.71, 49.76 +/- 12.4, 33.96 +/- 7.2, 69.1 +/- 16.57 pg/mL, respectively) and the fertile control group (49.26 +/- 31.32 pg/mL). The CBVAD group showed the lowest seminal plasma mean level of beta-endorphin. Testicular contribution of seminal beta-endorphin was estimated to be approximately 40%. Seminal beta-endorphin showed significant correlation with the sperm concentration (r = 0.699, P = 0.0188) and nonsignificant correlation with its serum level (r = 0.375, P = 0.185) or with the sperm motility percentage (r = 0.470, P = 0.899).

CONCLUSIONThe estimation of beta-endorphin alone is not conclusive to evaluate male reproduction as there are many other opiates acting at the hypothalamic pituitary gonadal axis.

Asthenozoospermia ; blood ; metabolism ; Azoospermia ; blood ; metabolism ; Enzyme-Linked Immunosorbent Assay ; Humans ; Infertility, Male ; blood ; metabolism ; Male ; Prospective Studies ; Semen ; chemistry ; Vas Deferens ; abnormalities ; beta-Endorphin ; blood ; metabolism

Purpose: Varicocele has been associated with high seminal oxidative stress (OS), impaired semen quality, and reduced male fertility potential. However, the exact mechanism(s) underlying the development of varicocele-mediated infertility and the cause-effect relationship between varicocele and testicular dysfunction are not fully understood. The aim of this systematic review and meta-analysis (SRMA) is to investigate the impact of varicocele on testicular OS markers and sperm parameters in experimental animals with varicocele as compared to animals without varicocele. Materials and Methods: A literature search was performed using the Scopus and PubMed databases on studies that investigated testicular OS markers and sperm parameters in animals with varicocele. The primary outcomes included malondialdehyde (MDA) (nmol/mg) levels whereas the secondary outcomes included total sperm count (×106), sperm vitality (%), total sperm motility (%), and sperm DNA fragmentation (SDF) (%). Standardized mean difference (SMD) (95% confidence interval [CI]) was chosen to express the effect size. The quality of the included studies was evaluated using the Cambridge Quality Checklist. Results: Out of 76 identified articles, 6 studies on rats were included in the meta-analysis. The analysis showed a significant increase of MDA (SMD: 15.61 [1.93, 29.29]; p=0.03) in rats with varicocele vs. controls. We also observed a significant decrease in total sperm count (SMD: -17.45 [-28.97, -5.93]; p<0.01), sperm vitality (SMD: -16.41 [-26.30, -6.52]; p<0.01), total sperm motility (SMD: -17.67 [-24.90, -10.44]; p<0.01), and a significant increase of SDF (SMD: 7.41 [1.23, 13.59]; p=0.02), in rats with varicocele vs. controls. The quality of the included studies was ranked as high. Conclusions This SRMA indicates a significant increase in levels of testicular MDA and SDF and a reduction of sperm quality in experimental animals with varicocele. These findings support the potential role of testicular OS in the development of varicocele-induced testicular damage.

Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and has been applied to various fields of medicine. Advances in computer science, medical informatics, robotics, and the need for personalized medicine have facilitated the role of AI in modern healthcare. Similarly, as in other fields, AI applications, such as machine learning, artificial neural networks, and deep learning, have shown great potential in andrology and reproductive medicine. AI-based tools are poised to become valuable assets with abilities to support and aid in diagnosing and treating male infertility, and in improving the accuracy of patient care. These automated, AI-based predictions may offer consistency and efficiency in terms of time and cost in infertility research and clinical management. In andrology and reproductive medicine, AI has been used for objective sperm, oocyte, and embryo selection, prediction of surgical outcomes, cost-effective assessment, development of robotic surgery, and clinical decision-making systems. In the future, better integration and implementation of AI into medicine will undoubtedly lead to pioneering evidence-based breakthroughs and the reshaping of andrology and reproductive medicine.