Many studies have shown that microRNAs (miRNAs) play vital roles during the spermatogenesis. However, little is known about the altered miRNA profiles of testicular tissues in nonobstructive azoospermia (NOA). Using microarray technology, the miRNA expression profiles of testicular biopsies from patients with NOA and of normal testicular tissues were determined. Bioinformatics analyses were conducted to predict the enriched biological processes and functions of identified miRNAs. The microarray data were validated by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), the results of which were then validated with a larger sample size. Correlations between the miRNA expression levels and clinical characteristics were analyzed. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic ability of miRNAs for azoospermia. Hierarchical clustering showed that 129 miRNAs were significantly differentially expressed between the NOA and control groups. Bioinformatics analysis indicated that the differentially expressed miRNAs were involved in spermatogenesis, cell cycle, and mitotic prometaphase. In the subsequent qRT-PCR assays, the selected miRNA expression levels were consistent with the microarray results, and similar validated results were obtained with a larger sample size. Some clinical characteristics were significantly associated with the expression of certain miRNAs. In particular, we identified a combination of two miRNAs (miR-10b-3p and miR-34b-5p) that could serve as a predictive biomarker of azoospermia. This study provides altered miRNA profiles of testicular biopsies from NOA patients and examines the roles of miRNAs in spermatogenesis. These profiles may be useful for predicting and diagnosing the presence of testicular sperm in individuals with azoospermia.
Adult ; Azoospermia/genetics* ; Biopsy ; Cluster Analysis ; Computational Biology ; Follicle Stimulating Hormone/metabolism* ; Gene Expression Profiling ; Humans ; Luteinizing Hormone/metabolism* ; Male ; MicroRNAs/metabolism* ; Reverse Transcriptase Polymerase Chain Reaction ; Spermatogenesis/genetics* ; Testis/metabolism* ; Testosterone/metabolism* ; Tissue Array Analysis

OBJECTIVE: The primary objective of this study was to compare clinical pregnancy rates in intrauterine insemination (IUI) treatment cycles with transabdominal ultrasound guidance during intrauterine catheter insemination (US-IUI) versus the “blind method” IUI without ultrasound guidance (BM-IUI). The secondary objective was to compare whether US-IUI had better patient tolerability and whether US-IUI made the insemination procedure easier for the clinician to perform compared to BM-IUI. METHODS: This was a randomized controlled trial done at the Reproductive Medicine Unit of General Hospital Kuala Lumpur, Malaysia. We included women aged between 25 and 40 years who underwent an IUI treatment cycle with follicle-stimulating hormone injections for controlled ovarian stimulation. RESULTS: A total of 130 patients were recruited for our study. The US-IUI group had 70 patients and the BM-IUI group had 60 patients. The clinical pregnancy rate was 10% in both groups (p> 0.995) and there were no significant difference between the groups for patient tolerability assessed by scores on a pain visual analog scale (p= 0.175) or level of difficulty for the clinician (p> 0.995). The multivariate analysis further showed no significant increase in the clinical pregnancy rate (adjusted odds ratio, 1.07; 95% confidence interval, 0.85–1.34; p= 0.558) in the US-IUI group compared to the BM-IUI group even after adjusting for potential covariates. CONCLUSION: The conventional blind method for intrauterine catheter insemination is recommended for patients undergoing IUI treatment. The use of ultrasound during the insemination procedure increased the need for trained personnel to perform ultrasonography and increased the cost, but added no extra benefits for patients or clinicians.
Catheters ; Female ; Follicle Stimulating Hormone ; Hospitals, General ; Humans ; Insemination ; Insemination, Artificial ; Malaysia ; Methods ; Multivariate Analysis ; Odds Ratio ; Ovulation Induction ; Pain Measurement ; Pregnancy Rate ; Reproductive Medicine ; Ultrasonography ; Visual Analog Scale

We assessed the concomitant impact of cigarette smoking and alcohol consumption in men presenting for primary couple's infertility. Data from 189 infertile men were analyzed. Semen analysis, serum hormones, and sperm DNA fragmentation (SDF) were obtained. Smoking status was categorized as follows: current nonsmoker (-S), moderate smoker (+MS), and heavy smoker (+HS). Alcohol consumption was categorized as follows: abstainer (-D), moderate drinker (+MD), and heavy drinker (+HD). Descriptive statistics and logistic regression models were applied. Among all the participants, 132 (69.8%), 30 (15.9%), and 27 (14.3%) patients were -S, +MS, and +HS, respectively. In addition, 67 (35.4%), 77 (40.7%) and 45 (23.8%) men were -D, +MD and +HD, respectively. Regarding concomitant habits, 52 (27.5%) patients were nonsmokers and abstainers (-S/-D: Group 1), 91 (48.1%) had at least one recreational habit (-S/+D or +S/-D: Group 2), and 46 (24.3%) were both smokers and drinkers (+S/+D: Group 3). Sperm concentration and progressive motility were lower in +HS and +HD, compared with -S and -D (all P < 0.05), respectively. Similarly, both parameters were significantly lower in Group 3 than Groups 1 and 2 (all P < 0.05). SDF values were higher in Group 3 than Groups 1 and 2 (both P < 0.05). In multivariate analysis, follicle-stimulating hormone (FSH) levels and concomitant +S/+D status were independent predictors of impaired sperm concentration and progressive motility (all P < 0.05). Heavy smoking and heavy drinking were associated with worse seminal parameters than moderate smoking/drinking and nonsmoking/abstaining. When concomitant, +S/+D status has an even greater detrimental effect on semen parameters.
Adult ; Alcohol Drinking/adverse effects* ; Alcoholism/complications* ; Cigarette Smoking/adverse effects* ; Cohort Studies ; Female ; Follicle Stimulating Hormone/blood* ; Humans ; Infertility, Male/pathology* ; Male ; Middle Aged ; Semen Analysis ; Sperm Count ; Sperm Motility ; Spermatozoa/ultrastructure*

ObjectiveTo investigate the correlation of the levels of reproductive hormones and oxidative stress in the seminal plasma with semen parameters in obese males.

METHODSBased on the body mass index (BMI), we divided 138 infertile men into three groups: normal (BMI <24 kg/m2, n = 48), overweight (24 kg/m2≤BMI<28 kg/m2, n = 47), and obesity (BMI ≥28 kg/m2, n = 43). We determined the concentrations of follicle-stimulating hormone (FSH), luteotropic hormone (LH), prolactin (PRL), testosterone (T) and estradiol (E2) in the serum by electrochemiluminescence and measured the levels of superoxide dismutase (SOD), glutathione-S-transferases (GSTs), reactive oxygen species (ROS) and malondialdehyde (MDA) in the seminal plasma by ELISA, compared the above indexes among the three groups, and analyzed their correlation with the semen volume, sperm concentration, total sperm count, and percentage of progressively motile sperm (PMS).

RESULTSThe semen volume was significantly lower in the obesity than in the normal group (［2.63 ± 0.74］ vs ［3.37 ± 1.00］ ml, P < 0.05), and so was the percentage of PMS in the overweight and even lower in the obesity than in the normal group (［47.91 ± 12.89］ and ［41.27 ± 15.77］ vs ［54.04 ± 13.29］%, P < 0.05). Compared with the normal group, both the overweight and obesity groups showed markedly decreased levels of serum T (［4.83 ± 1.42］ vs ［3.71 ± 1.22］ and ［3.49 ± 1.12］ ng/ml, P<0.05), T/LH ratio (1.53 ± 0.57 vs 1.19 ± 0.54 and 0.97 ± 0.51, P<0.05), SOD (［112.05 ± 10.54］ vs ［105.85 ± 6.93］ and ［99.33 ± 8.39］ U/ml, P<0.05), and GSTs (［31.75±6.03］ vs ［29.54±5.78］ and ［29.02±4.52］ U/L, P<0.05), but remarkably increased seminal plasma ROS (［549.93±82.41］ vs ［620.61±96.13］ and ［701.47±110.60］ IU/ml, P<0.05) and MDA (［7.46 ± 2.13］ vs ［8.72 ± 1.89］ and ［10.47 ± 2.10］ nmol/L, P<0.05). BMI was correlated positively with ROS and MDA, but negatively with the semen volume, PMS, T, T/LH, SOD and GSTs (P<0.05); LH negatively with sperm concentration, total sperm count and GSTs (P<0.05); PRL negatively GSTs (P<0.05); E2 positively with SOD (P<0.05); T positively with SOD (P<0.05) but negatively with MDA (P<0.05); T/LH positively with PMS and SOD (P<0.05) but negatively with ROS and MDA (P<0.05); SOD positively with semen volume, PMS and GSTs (P<0.05) but negatively with ROS and MDA (P<0.05); GSTs negatively with sperm concentration; total sperm count and MDA (P<0.05); ROS positively with MDA (P<0.01) but negatively with PMS (P<0.05); and MDA negatively with semen volume (P<0.05). Multivariate logistic regression analysis showed that the independent factors influencing the semen volume were BMI and GSTs, those influencing the total sperm count were BMI and T, and those influencing PMS were BMI and MDA.

CONCLUSIONSIncreased BMI induces changes in the levels of male reproductive hormones and seminal plasma oxidative stress and affects semen quality, which may be associated with male infertility.

Body Mass Index ; Estradiol ; blood ; Follicle Stimulating Hormone ; blood ; Humans ; Infertility, Male ; blood ; classification ; metabolism ; Luteinizing Hormone ; blood ; Male ; Malondialdehyde ; analysis ; Obesity ; blood ; metabolism ; Oxidative Stress ; Prolactin ; blood ; Reactive Oxygen Species ; analysis ; Reproduction ; Semen ; metabolism ; Semen Analysis ; Sperm Count ; Testosterone ; blood

Objective: To investigate the relationship between the serum anti-Müllerian hormone (AMH) level and semen parameters. METHODS: We collected the data about 726 outpatients at the Male Infertility Clinic of Jinling Hospital from September 2015 to November 2016, including 72 with non-obstructive azoospermia, 123 with oligospermia, and 531 with normal sperm concentration. We obtained the semen volume, total sperm count, sperm concentration, sperm motility, the percentages of progressively motile sperm (PMS) and morphologically normal sperm (MNS), and the levels of serum AMH, inhibin B (INH-B), total testosterone (TT) and follicle - stimulating hormone (FSH) of the patients, analyzed the correlation of the serum AMH level with the other parameters, and compared the AMH level among different groups. RESULTS: The serum AMH level was found to be correlated positively with the total sperm count (r = 0.227, P <0.001), sperm concentration (r = 0.215, P <0.001), sperm motility (r = 0.111, P = 0.003), the percentage of PMS (r = 0.120, P = 0.001), and the levels of INH-B (r = 0.399, P <0.001) and TT (r = 0.184, P = 0.002), negatively with the FSH level (r = －0.283, P <0.001), but insignificantly with age, time of abstinence, semen volume, and the percentage of MNS (P >0.05). There was a statistically significant difference in the serum AMH level among the patients with non-obstructive azoospermia, oligozoospermia, and normal sperm concentration (［6.33 ± 4.26］ vs ［8.26 ± 3.98］ vs ［9.8 ± 5.19］ ng/ml, P <0.001). CONCLUSIONS Serum AMH is a biomarker reflecting the function of Sertoli cells and its level is significantly correlated with sperm concentration and motility, suggesting that AMH may be involved in spermatogenesis and sperm maturation.
Anti-Mullerian Hormone ; blood ; Azoospermia ; blood ; Biomarkers ; blood ; Follicle Stimulating Hormone ; blood ; Humans ; Inhibins ; blood ; Male ; Oligospermia ; blood ; Semen ; Semen Analysis ; Sertoli Cells ; physiology ; Sperm Count ; Sperm Motility ; Spermatogenesis ; Spermatozoa ; Testosterone ; blood

Objective: To study the changes of the serum zinc alpha 2 glycoprotein (ZAG) level in men and its relationship with blood lipid male reproductive hormones. METHODS: We enrolled 297 men aged 25－ 65 years in this study, 152 with hyperlipemia (HL) and the other 145 with normal blood lipid (normal control). We divided them into four age groups (25－35 yr, 36－45 yr, 46－55 yr, and 56－65 yr) and three tertile groups (Q1, Q2, and Q3) according to the tertiles of the serum ZAG level, and examined their blood lipid, blood glucose, serum ZAG, and reproductive hormones. RESULTS: The serum ZAG level was decreased gradually with the increase of age in both the HL patients and normal controls, significantly in the 36－45 and 56－65 yr age groups (P <0.05), and markedly lower in the HL than in the control men in the 25－35 and 36－45 yr groups (P <0.05). The levels of follicle-stimulating hormone (FSH) and total testosterone (TT) changed significantly with the ZAG level. The level of serum ZAG was correlated negatively with age (r = －0.58, P<0.05), waist circumference (r = －0.21, P <0.05), body mass index (BMI) (r = －0.22, P <0.05), fasting blood glucose (r = －0.16, P <0.05) , and triglyceride (TG) (r = －0.27, P <0.05) but positively with TT (r = 0.36, P <0.05). Age, BMI and TG were independent factors influencing the serum ZAG level. CONCLUSIONS The serum ZAG level is decreased with the increase of age and associated with lipid metabolism, abdominal obesity, and reproductive hormone levels in males.
Adult ; Age Factors ; Aged ; Blood Glucose ; analysis ; Body Mass Index ; Follicle Stimulating Hormone ; Gonadal Steroid Hormones ; blood ; Humans ; Lipids ; blood ; Male ; Middle Aged ; Obesity, Abdominal ; etiology ; Reproduction ; Seminal Plasma Proteins ; blood ; Triglycerides ; blood

Objective: To explore the feasibility, safety and clinical effect of mid-frequency transcutaneous electrical acupoint stimulation (TEAS) combined with oral tamoxifen (TAM) in the treatment of oligoasthenozoospermia. METHODS: We randomly and equally assigned 120 patients with idiopathic oligoasthenozoospermia to receive oral TAM, mid-frequency TEAS, or TAM+TEAS, all for 8 weeks. Before and after treatment, we recorded the semen volume, total sperm count, sperm concentration, sperm motility, percentage of progressively motile sperm (PMS), and the levels of follicle-stimulating hormone (FSH), luteotrophic hormone (LH) and testosterone (T) in the peripheral serum and compared these parameters among the three groups of patients. RESULTS: Compared with the baseline, none of the patients showed significant improvement in the semen volume (P >0.05) but all exhibited remarkably elevated levels of serum FSH, LH and T after treatment (P <0.05); TAM significantly improved the total sperm count (［25.16 ± 2.05］ vs ［42.65 ± 5.78］ ×106, P <0.05) and sperm concentration (［12.15 ± 2.51］ vs ［24.31 ± 2.59］ ×10⁶/ml, P <0.05), but not total sperm motility (［21.78 ± 8.81］ vs ［22.61 ± 5.75］ %, P >0.05) or PMS (［15.87 ± 7.81］ vs ［16.76 ± 5.86］ %, P >0.05); TEAS markedly increased total sperm motility (［24.81 ± 8.27］ vs ［32.43 ± 4.97］ %, P <0.05) and PMS (［19.71 ± 9.15］ vs ［27.17 ± 5.09］%, P <0.05), but not the total sperm count (［23.23 ± 3.14］ vs ［25.87 ± 4.96］ ×106, P >0.05) or sperm concentration (［11.27 ± 2.24］ vs ［14.12 ± 2.47］ ×10⁶/ml, P >0.05); TAM+TEAS, however, improved not only the total sperm count (［26.17 ± 5.05］ vs ［ 51.14 ± 3.69］×106, P <0.05) and sperm concentration (［12.78 ± 2.41］ vs ［27.28 ± 1.98］ ×10⁶/ml, P <0.05), but also total sperm motility (［23.89 ± 9.05］ vs ［37.12 ± 5.33］%, P <0.05) and PMS (［17.14 ± 8.04］ vs ［31.09 ± 7.12］%, P <0.05). The total effectiveness rate was significantly higher in the TAM+TEAS group than in the TAM and TEAS groups (97.5% vs 72.5% and 75.0%, P <0.05). CONCLUSIONS Mid-frequency TEAS combined with tamoxifen can significantly improve semen quality and increase sex hormone levels in patients with idiopathic oligoasthenozoospermia.
Acupuncture Points ; Antineoplastic Agents, Hormonal ; administration & dosage ; therapeutic use ; Asthenozoospermia ; blood ; therapy ; Combined Modality Therapy ; methods ; Electroacupuncture ; methods ; Feasibility Studies ; Follicle Stimulating Hormone ; blood ; Humans ; Male ; Oligospermia ; blood ; therapy ; Prolactin ; blood ; Semen Analysis ; Sperm Count ; Sperm Motility ; Tamoxifen ; administration & dosage ; therapeutic use ; Testosterone ; blood

Objective: To study the protective effect of Qilin Pills (QLP) on the reproductive function of rats with oligoasthenospermia (OAS) induced by tripterygium glycosides. METHODS: Twenty-eight male SD rats were randomly divided into a normal control, an OAS model control, a low-dose QLP, and a high-dose QLP group of equal number. OAS models were made in the latter three groups by intragastrical administration of tripterygium glycosides at 40 mg per kg of the body weight per day, and meanwhile the animals in the low- and high-dose QLP groups were treated with QLP at 1.62 and 3.24 g per kg of the body weight per day, respectively, while those in the OAS model group with normal saline, all for 30 consecutive days. Then all the rats were executed for obtaining the testis weight, testis viscera index, epididymal sperm concentration and motility, reproductive hormone levels, and antioxidation indexes and observation of the histomorphological changes of the testis tissue by HE staining. RESULTS: After 30 days of intervention, the low- and high-dose QLP groups, as compared with the OAS model controls, showed significantly improved epididymal sperm concentration (［14.57 ± 3.95］ and ［39.71 ± 11.31］ vs ［4.71 ± 1.25］ ×10⁶/ml, P <0.05) and motility (［3.71 ± 1.11］ and ［4.29 ± 1.80］ vs ［0.57 ± 0.53］%, P <0.05), increased levels of sex hormone binding globulin (SHBG) (［94.83 ± 11.17］ and ［88.05 ± 9.21］ vs ［56.74 ± 8.29］ nmol/L, P <0.05) and free testosterone (FT) (［27.27 ± 3.63］ and ［32.80 ± 2.51］ vs ［22.81 ± 2.75］ nmol/L, P <0.05), decreased level of follicle-stimulating hormone (FSH) (［1.49 ± 0.62］ and ［1.12 ± 0.83］ vs ［1.71 ± 0.52］ mIU/ml, P <0.05), but no significant change in the total testosterone (TT) level. Meanwhile, the level of superoxide dismutase (SOD) was markedly elevated in the low- and high-dose QLP groups in comparison with the OAS model control group (［277.14 ± 15.84］ and ［299.60 ± 20.83］ vs ［250.04 ± 31.06］ U/ml, P <0.05) while that of reactive oxygen species (ROS) remarkably reduced (［397.61 ± 62.71］ and ［376.84 ± 67.14］ vs ［552.20 ± 58.07］ IU/ml, P <0.05). HE staining showed that QLP intervention significantly increased the layers and quantity of spermatogenic cells in the testicular seminiferous tubules of the OAS rats. CONCLUSIONS QLP can effectively protect the reproductive system of oligoasthenospermia rats by raising sperm quality, elevating reproductive hormone levels, reducing oxidative stress injury, and improving histomorphology of the testis.
Animals ; Asthenozoospermia ; chemically induced ; drug therapy ; Drugs, Chinese Herbal ; pharmacology ; Epididymis ; Follicle Stimulating Hormone ; Male ; Oligospermia ; chemically induced ; drug therapy ; Protective Agents ; pharmacology ; Random Allocation ; Rats ; Rats, Sprague-Dawley ; Reproduction ; drug effects ; Seminiferous Tubules ; Sperm Count ; Spermatozoa ; drug effects ; Superoxide Dismutase ; analysis ; Testis ; Testosterone ; blood ; Tripterygium

OBJECTIVE: Ovarian reserve tests are commonly used to predict ovarian response in infertile patients undergoing ovarian stimulation. Although serum markers such as basal follicle-stimulating hormone (FSH) or random anti-Müllerian hormone (AMH) level and ultrasonographic markers (antral follicle count, AFC) are good predictors, no single test has proven to be the best predictor. In this study, we developed appropriate equations and novel nomograms to predict the number of oocytes that will be retrieved using patients' age, serum levels of basal FSH and AMH, and AFC. METHODS: We analyzed a database containing clinical and laboratory information of 141 stimulated in vitro fertilization (IVF) cycles performed at a university-based hospital between September 2009 and December 2013. We used generalized linear models for prediction of the number of oocytes. RESULTS: Age, basal serum FSH level, serum AMH level, and AFC were significantly related to the number of oocytes retrieved according to the univariate and multivariate analyses. The equations that predicted the number of oocytes retrieved (log scale) were as follows: model (1) 3.21-0.036×(age)+0.089×(AMH), model (2) 3.422-0.03×(age)-0.049×(FSH)+0.08×(AMH), model (3) 2.32-0.017×(age)+0.039×(AMH)+0. 03×(AFC), model (4) 2.584-0.015×(age)-0.035×(FSH)+0.038×(AMH)+0.026×(AFC). model 4 showed the best performance. On the basis of these variables, we developed nomograms to predict the number of oocytes that can be retrieved. CONCLUSION: Our nomograms helped predict the number of oocytes retrieved in stimulated IVF cycles.
Biomarkers ; Fertilization in Vitro ; Follicle Stimulating Hormone ; Humans ; Linear Models ; Multivariate Analysis ; Nomograms* ; Oocytes* ; Ovarian Reserve ; Ovulation Induction*

OBJECTIVE: The purpose of the study was to examine the relationship between the parameter representing ovarian reserve and the fetal aneuploidy in early spontaneous miscarriage. METHODS: A multicenter retrospective cohort study was performed in patients who were diagnosed with early pregnancy loss (< or =13 gestational weeks) and examined for fetal karyotype at the CHA Gangnam Medical Center, CHA Bundang Medical Center, and CHA Gumi Medical Center between January 2011 and December 2012. Karyotyping was performed by the Genetic Laboratory of the Fertility Center of CHA Gangnam Medical Center. Medical records were reviewed for demographics, karyotype analysis and hormonal assay of ovarian reserve including antimullerian hormone (AMH) and follicle stimulating hormone. Statistical analysis was performed using SPSS software. RESULTS: A total 462 patients were included in this study. The mean age of the patients was 35.31+/-4.12 years and the mean AMH level was 3.88+/-3.50 ng/mL (n=195). Two hundred eleven conceptuses (45.7%) of patients showed the euploid and 251 (54.3%) showed the aneuploid. There are significant differences in maternal age, AMH and gestational age between fetal euploid and aneuploid groups (34.46+/-4.35 vs. 36.04+/-3.78 years, P<0.001; 4.60+/-3.86 vs. 3.43+/-3.18 ng/mL, P=0.022; 7.67+/-1.54 vs. 8.27+/-1.46 weeks, P<0.001, respectively). Multivariate analysis revealed that low AMH level and early gestational age were maternal age-independent markers for fetal aneuploid (P<0.001 and P=0.045, respectively). CONCLUSION: Low maternal AMH level might be a predicting marker for fetal aneuploid in early pregnancy loss.
Abortion, Spontaneous ; Aneuploidy* ; Anti-Mullerian Hormone* ; Chromosome Aberrations ; Cohort Studies ; Demography ; Female ; Fertility ; Follicle Stimulating Hormone ; Gestational Age ; Gyeongsangbuk-do ; Humans ; Karyotype ; Karyotyping ; Maternal Age ; Medical Records ; Multivariate Analysis ; Pregnancy* ; Retrospective Studies