Asian Pacific Journal of Reproduction

197-201

Authors: Hanieh Vaseghi, Asghar Mogheiseh, Mojtaba Kafi, Masood Sepehrimanesh, Mohammad Hossein Nooranizadeh

Objective: To study the effects of anestrus dog serum in rodents (contains high amount of FSH) compared with two common superovulatory programs. Methods: Rats (n=30) at diestrus phase were evenly divided into pregnant mare serum gonadotrophins (PMSG) group (administrated with 30 IU PMSG, and 48 h later following by 25 IU hCG), recombinant follicle stimulating hormone (rFSH) group (reducing dose every 12 h from 5 to 1 IU, then following by 25 IU hCG) and anestrus dog serum group (reducing dose every 12 h from 0.6 to 0.1 mL, then following by 25 IU of hCG). Mice (n=30) were also evenly divided into PMSG group (5 IU PMSG used at 13 pm, and 48 h later following by 5 IU of hCG), rFSH group (from 13 pm, reducing dose every 12 h from 2.5 to 0.5 IU, then following by 5 IU hCG) and anestrous dog serum group (from 13 pm, reducing dose every 12 h from 0.100 to 0.025 mL, then following by 5 IU hCG). Mice and rats placed with males for 24 h after last injection. Histology samples of ovaries were prepared and the numbers of corpus lutea were counted on day 14 after mating. Results: In mice, the differences among mean number of corpus lutea in all groups (P=0.01) and between FSH and dog serum group were significant (P=0.000 7). But no significant differences were found between the mean number of corpus lutea in dog serum and PMSG, or between FSH and PMSG groups. In rats, mean number of corpus lutea were significant differences among three groups (P=0.01), and between PMSG and dog serum groups (P=0.02). Conclusions: Superovulatory response in anestrus dog serum group is similar to PMSG group in mice, which is relatively similar to FSH in rats.

212-216

Authors: Irfan Yunianto, Nurul Ain Kamar Bashah, Mahanem Mat Noor

Objective: To investigate the antifertility properties of Centella asiatica L. ethanolic extract and identify the sperm proteomic changes in treated male rats. Methods: A total of 32 male Sprague-Dawley rats were divided into two groups: control group (n=16) received distilled water and treatment group (n=16) which received 300 mg/kg of Centella asiatica L. extract for 42 d. After the treatment period, the number of implantation sites was recorded and the sperm proteomic changes were analysed by 2D gel electrophoresis. In addition, the expression of protein spots was quantified by MALDI-TOF analysis. Results: Centella asiatica L. extract resulted in low number of implantation sites in the treatment group (100.00±2.82) compared to the control group (183.00±2.14). The percentage of infertile male rats in the treatment group was higher (43.75%) compared to the control group (18.75%). Proteomic analysis showed the expression of protein spots identified in the treatment group decreased with 234 spots compared to the control group with 282 spots. Conclusions: The results revealed that there was antifertility activity in the male rats with the administration of Centella asiatica L. ethanol extract and the identified proteins could provide understanding on the adverse effect of Centella asiatica in male reproductive system.

221-225

Authors: Fabio Diniz de Souza

Objective: To explore some possibilities of computer applications in medicine, and to discuss an online infertility clinical decision support system. Methods: Retrospective data were obtained from 52 couples, and then entered into the online tool. Both its results and the initial diagnoses obtained by the treating physicians were compared with the final diagnoses established by laparoscopy and other diagnostic tests (semen analysis, hormone analysis, endometrial biopsy, ultrasound and hysteroscopy). The initial hypothesis of the research was that the online tool’s output was statistically associated with the final diagnoses. In order to verify that hypothesis, a chi-square (氈2) test with Yates’ correction for continuity (P<0.05) was performed to verify if the online tool’s and the doctor’s diagnoses were statistically associated with the final diagnoses. Results: Four etiological factors were present in more than 50% of the couples (ovarian, tubal-peritoneal, uterine, and endometriosis). The statistical results confirmed the research hypothesis for eight out of the nine etiological factors (ovarian, tubal-peritoneal, uterine, cervical, male, vaginal, psychosomatic, and endometriosis; P<0.05). Since there were no cases related to the immune factor in the sample, further clinical data are necessary in order to assess the online tool’s performance for that factor. Conclusions: The online tool tends to present more false-positives than false negatives, whereas the expert physician tends to present more false-negatives than false-positives. Therefore, the online tool and the doctor seem to complement each other. Finally, the obtained results suggest that the infertility online tool discussed herein might be a useful research and instructional tool.

231-237

Authors: Mohamed El-Raey, Heba M El-Khaiat

Objective: To assess the anion gap (AG) validity in prediction the goat’s fertility before parturition. Methods: This study was carried out on two groups (20/20, aged 4–6 years and weighted 30–43 kg) of pluriparous pregnant Baladi goats. Animals were subjected to clinical examination, blood sampling to assess serum biochemical parameters in correlation with utrasonographic assessment of uterine horn involution (UTI) and placental dropping time after kidding. Unpaired student t–test was used to detect the significance of differences (P<0.05). Correlation coefficient was used to study the relationships among the different assessed parameters, analysis (r) was assigned at P<0.05 using the same statistics program. Results: Results revealed that there were highly significant differences (P<0.05) between normally and abnormally parturated goats concerning Cl–, K+, Na+, P, Mg2+, Total/Ca2+, albumin, glucose and AG. Goats suffered from dystocia having high levels of HCO3 –, cortisol and lactate. Additionally, there were significant differences (P<0.05) between normally and abnormally parturated goat does regarding the process of UTI starting from 3rd to 10th wk after parturition. Furthermore, there was a highly significant difference (P<0.05) between normally and abnormally parturated goat does concerning their placental dropping time; where, distressed/abnormally parturated goat having the longest time. Furthermore, there were highly strong correlation coefficient between Mg2+, K+, Na+, HCO3–, glucose, albumin, AG and corrected AG concentrations during goat’s prepartum period and UTI, placental dropping time. Conclusions: Reporting serum bio-chemical changes and AG during goat’s prepartum period could be used as diagnostic tool to judge the normality of parturition process, placental dropping, UTI and genital health, in other word, could be used as predictor for goat’s fertility prior to parturition.