scholarly journals The Effect of Incubation Temperature On Semen Parameters Before Intra-Uterine Insemination

Author(s):  
Lingling Salang ◽  
Kanok Seejorn ◽  
Thanida Pongsritasana

Abstract Objectives To evaluate the effect of different incubation temperature between room (26–28˚c) and body (37 ˚c) temperature on percentage of progressive sperm motility and the optimal incubation period before intrauterine insemination. Methods Seventy-one normal semen samples under WHO 2010 criteria were recruited. All semen was prepared with Density Gradient Centrifugation technique (DGC) and divided into two groups to evaluate sperm motility at 60 min of incubation time. First group: prepared semen was incubated in room temperature (26˚-28˚c) and second group: prepared semen was incubated in body temperature (37°c). Moreover, each group is divided into 4 items for compare sperm motility between both groups in same of incubation time and evaluate the optimal incubation time between the items in the same groups. Results Spermatozoa incubated at body temperature had a significantly higher percentage of progressive sperm motility than those incubated at room temperature (89.62 ± 8.02 vs 85.97 ± 9.42; p < 0.01). The optimal incubation time at room temperature was 30 minutes and at body temperature was 60 minutes. These results suggest that spermatozoa incubated at 37°C for 60 minutes were more likely to have better sperm motility functions for IUI. Conclusion These results suggest that spermatozoa incubated at 37°C for 60 minutes were more likely to be effective for use in IUI in terms of sperm motility functions.

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
A Badal ◽  
G Pilgram ◽  
D Diaz de Pool ◽  
L Van der Westerlaken

Abstract Study question Does time between ejaculation and processing, and time between processing and insemination/injection affect fertilization rate (FR) and ongoing pregnancy rate (OPR) in IVF/ICSI treatments? Summary answer Increasing time between processing and insemination significantly decreased the OPR after IVF. FRs after IVF/ICSI and OPR after ICSI were not affected by different time-intervals. What is known already The choice for IVF or ICSI depends on semen quality, however, this doesn’t affect the outcome of IVF/ICSI treatments (Mariappen et al 2018). After ejaculation, the percentage of motile spermatozoa decreases progressively at a rate of about 10%/hour (Makler 1979). According to the ESHRE-guideline, semen should be processed within 1 hour after ejaculation. In our laboratory, a validation was performed that confirmed a decrease in sperm motility after ejaculation. During incubation at 37 °C after processing, the sample remained stable in incubation medium (unpublished data). Therefore, we analyzed the effect of handling time and incubation time with regard to IVF/ICSI outcomes. Study design, size, duration This retrospective data analysis examines the effect of time between ejaculation and processing using density-gradient centrifugation (handling time) and time between processing and insemination (IVF)/injection (ICSI) (incubation time) on the FR and OPR, irrespective of the initial semen quality. A total of 1488 oocyte pickups (844 IVF, 644 ICSI) were included from 1060 patients undergoing fertility treatment between 2017 and 2019. Oocyte pickups without oocytes, with oocyte vitrification, or with donor oocytes were excluded. Participants/materials, setting, methods Anonymized data were obtained from the laboratory database ProMISe. Handling time and incubation time of the semen incubated at 37 °C and 5% CO2 were analyzed in relation to the occurrence of TFF (Total Fertilization Failure), FR and OPR. Linear and logistic regression was performed in SPSS version 25. In case of significant association, the data were adjusted for potential confounders, such as woman’s age, semen quality before and after preparation, and number of oocytes. Main results and the role of chance This study shows that increasing the incubation time of the semen significantly reduced the OPR per ET in IVF treatments (from 30,8% within 3,5 hours to 24,1% after 6 hours) even after adjusting for the potential confouders. However, the OPR in ICSI treatments was not significantly affected by the incubation time (rather, there was an opposite trend). Also, the handling time of the semen did not significant effect the FR per OPU and the OPR per ET in IVF/ICSI treatments. The overall percentage of TFF was 3,5% and did not differ significantly between the IVF and ICSI treatments. Both handling time and incubation time did not have a significant effect on the occurrence of TFF. An explanation for the decrease in OPR in IVF treatments may be that increasing the incubation time at 37 °C reduces the sperm quality as the capacitation reaction takes place too early, energy levels are reduced, DNA damage increases, or vacuoles arise in the sperm heads (Thijssen et al 2014, Jackson et al 2010, Peer et al 2007). Incubation at room temperature and reduction of the insemination time may improve OPR. Limitations, reasons for caution Retrospective study limitations (bias), no data on DNA fragmentation, incubation of semen only at 37 °C after preparation. Wider implications of the findings: Although it is recommended to produce semen at the IVF-department, our results show that an exception can be made, when production of a semen sample in a clinical setting is stressful, with no negative effect on the outcome. Furthermore, incubation-time at room temperature may have a positive effect on OPR. Trial registration number Not applicable


2018 ◽  
Vol 11 (1) ◽  
pp. 77-84 ◽  
Author(s):  
Silvia W. Lestari ◽  
Manggiasih D. Larasati ◽  
Indra G. Mansur ◽  
Muhammad F. Soelaeman ◽  
Favian A. Rahmat ◽  
...  

Axoneme structures in sperm tail, is a supramolecular protein complex with motor protein and regulatory which playing a crucial role in determining sperm motility. Dynein, one of the three members of cytoskeletal motor protein, has a ring of six AAA+ which linked together into one large polypeptide that contribute to the formation of sperm flagella bending. The previously research reported that the first two AAA motor domains, AAA1 and AAA2, were a major site in ATP hydrolysis associated with motility in the flagellum. Intrauterine Insemination (IUI) as a management of infertility requires sperm preparation procedures, by Swim-up (SU) and Density Gradient Centrifugation (DGC), in order to enhance the quality regarding concentration and motility of the initial sperm. This study aimed to evaluate the efficiency of the DGC and SU methods in selecting sperm, based the expression of sperm dynein AAA1 and AAA2. Semen samples were obtained from men underwent sperm preparation for IUI and divided into two groups, normozoospermia and asthenozoospermia, according to World Health Organization 2010 guideline. Semen analysis was performed to measure the sperm motility and velocity, before and after sperm preparation. The axoneme was isolated from the obtained samples from SU and DGC methods, while the level of AAA1 and AAA2 was measured by ELISA. This study showed that the percentage of motile sperm and velocity of prepared sperm in both groups in prepared sperm (post-SU and post-DGC) was higher compared to whole semen. The expression of sperm dynein AAA1 of prepared sperm in normozoospermia group showed higher, while in asthenozoospermia group showed lower activities compared to whole semen. The expression of sperm dynein AAA2 of prepared sperm in both groups showed lower activities compared to whole semen. The sperm preparation enhanced the quality of sperm and may increase the expression of sperm dynein AAA1 compared to the whole semen, without the involvement of sperm dynein AAA2.


2012 ◽  
Vol 13 (1) ◽  
pp. 67
Author(s):  
Reginawanti Hindersah ◽  
Rija Sudirja

Azotobacter inoculation could play an important role to enhance the effectiveness of bioremediation since bacterialexopolysachharides form a complex with heavy metal. So that metal mobility in soil and its uptake by plantsincreased. Azotobacter also produce phytohormone which induce roots growth and subsequently the uptake ofnutrients. The objective of this research was to obtain optimal incubation temperature and time in Azotobacter sp.LKM6 liquid inoculants production in the fermentor to maximize the synthesis of exopolysachharides andphytohormones. The experiment arranged in Completely Randomized Design consisted of two incubationtemperature (room temperature and 300C). At 24, 36, and 48 hours incubation, the concentration of EPS andphytohormone cytokinin and giberrelin were occurred. The experimental results were 1) the best temperature andincubation time to produce Azotobacter sp. LKM6 liquid for bioremediation of heavy metal-contaminated soil was30oC and 48 hours, and 2) inoculants production at 300C for 48 jam produce liquid inoculants containing 2.87mg L-1 exopolysachharides, 81.0 mg L-1 cytokinins and 18.7 mg L-1 giberrelin, and 13.12 x 108 cell ml-1.


2019 ◽  
Vol 23 (Suppl. 1) ◽  
pp. 383-390 ◽  
Author(s):  
Mehlika Karamanlioglu ◽  
Umit Alkan

Poly(lactic) acid (PLA), is a compostable thermoplastic which degrades fast under composting conditions of microorganisms, high humidity, and temperatures. However, PLA degrades slowly below its glass transition temperature and in low humidity, hence, when used as short-shelf life product containers and not disposed to composting systems, PLA may cause environmental pollution. Therefore, when not disposed to proper waste management systems, the effect of long incubation time at room temperature on mechanical and thermal properties of PLA is the main concern of this study. To determine the effect of room temperature on semi-crystalline PLA degradation at a low humidity percentage, PLA films (PLA2) were kept at room temperature for 5 years at 40?10% humidity. Some PLA films (PLA3) were pre-treated at 55?C under dry conditions for one year and then kept at room temperature for four years. Influence of incubation time and temperature on PLA degradation was evaluated by mechanical, thermal analyses and by FTIR spectroscopy analysis and compared with the initial PLA samples (PLA1). Mainly mechanical properties of PLA were affected by incubation temperature and time since 68% tensile strength loss was observed in PLA3 samples which were pre-treated at 55?C and 34% decrease in tensile strength was observed in PLA2 samples. Ther?mal behavior of PLA was also influenced by incubation time and temperature as degree of crystallinity decreased 5% and 3% in PLA2 and PLA3 samples, respectively. Deformation of CH bonds and amorphous phase degradation were revealed by FTIR analyses in PLA2 and PLA3 samples.


1967 ◽  
Vol 45 (3) ◽  
pp. 321-327 ◽  
Author(s):  
David M. Ogilvie

The effects, on the body temperature of white mice, of repeated short exposures to cold were investigated using two methods of restraint. Animals held in a flattened posture became hypothermic at room temperature, cooled more than five times as fast at −10 °C as mice that could adopt a heat-conserving posture, and continued to cool for some time after they were removed from the cold. With repeated tests, cooling at room temperature decreased, and an improvement in re warming ability was observed. In addition, with lightly restrained mice, the fall in rectal temperature during cold exposure showed a progressive decrease, a phenomenon not observed with severely restrained animals.


RSC Advances ◽  
2021 ◽  
Vol 11 (41) ◽  
pp. 25731-25737
Author(s):  
Maria Cristina Righetti ◽  
Maria Laura Di Lorenzo ◽  
Patrizia Cinelli ◽  
Massimo Gazzano

At room temperature and at the human body temperature, all the amorphous fraction is mobile in poly(butylene succinate).


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sima Ranjbari ◽  
Toktam Khatibi ◽  
Ahmad Vosough Dizaji ◽  
Hesamoddin Sajadi ◽  
Mehdi Totonchi ◽  
...  

Abstract Background Intrauterine Insemination (IUI) outcome prediction is a challenging issue which the assisted reproductive technology (ART) practitioners are dealing with. Predicting the success or failure of IUI based on the couples' features can assist the physicians to make the appropriate decision for suggesting IUI to the couples or not and/or continuing the treatment or not for them. Many previous studies have been focused on predicting the in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) outcome using machine learning algorithms. But, to the best of our knowledge, a few studies have been focused on predicting the outcome of IUI. The main aim of this study is to propose an automatic classification and feature scoring method to predict intrauterine insemination (IUI) outcome and ranking the most significant features. Methods For this purpose, a novel approach combining complex network-based feature engineering and stacked ensemble (CNFE-SE) is proposed. Three complex networks are extracted considering the patients' data similarities. The feature engineering step is performed on the complex networks. The original feature set and/or the features engineered are fed to the proposed stacked ensemble to classify and predict IUI outcome for couples per IUI treatment cycle. Our study is a retrospective study of a 5-year couples' data undergoing IUI. Data is collected from Reproductive Biomedicine Research Center, Royan Institute describing 11,255 IUI treatment cycles for 8,360 couples. Our dataset includes the couples' demographic characteristics, historical data about the patients' diseases, the clinical diagnosis, the treatment plans and the prescribed drugs during the cycles, semen quality, laboratory tests and the clinical pregnancy outcome. Results Experimental results show that the proposed method outperforms the compared methods with Area under receiver operating characteristics curve (AUC) of 0.84 ± 0.01, sensitivity of 0.79 ± 0.01, specificity of 0.91 ± 0.01, and accuracy of 0.85 ± 0.01 for the prediction of IUI outcome. Conclusions The most important predictors for predicting IUI outcome are semen parameters (sperm motility and concentration) as well as female body mass index (BMI).


Cells ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1956
Author(s):  
Francesco Manfrevola ◽  
Bruno Ferraro ◽  
Carolina Sellitto ◽  
Domenico Rocco ◽  
Silvia Fasano ◽  
...  

The etiology of human asthenozoospermia is multifactorial. The need to unveil molecular mechanisms underlying this state of infertility is, thus, impelling. Circular RNAs (circRNAs) are involved in microRNA (miRNA) inhibition by a sponge activity to protect mRNA targets. All together they form the competitive endogenous RNA network (ceRNET). Recently, we have identified differentially expressed circRNAs (DE-circRNAs) in normozoospermic and asthenozoospermic patients, associated with high-quality (A-spermatozoa) and low-quality (B-spermatozoa) sperm. Here, we carried out a differential analysis of CRISP2, CATSPER1 and PATE1 mRNA expression in good quality (A-spermatozoa) and low quality (B-spermatozoa) sperm fractions collected from both normozoospermic volunteers and asthenozoospermic patients. These sperm fractions are usually separated on the basis of morphology and motility parameters by a density gradient centrifugation. B-spermatozoa showed low levels of mRNAs. Thus, we identified the possible ceRNET responsible for regulating their expression by focusing on circTRIM2, circEPS15 and circRERE. With the idea that motility perturbations could be rooted in quantitative changes of transcripts in sperm, we evaluated circRNA and mRNA modulation in A-spermatozoa and B-spermatozoa after an oral amino acid supplementation known to improve sperm motility. The profiles of CRISP2, CATSPER1 and PATE1 proteins in the same fractions of sperm well matched with the transcript levels. Our data may strengthen the role of circRNAs in asthenozoospermia and shed light on the molecular pathways linked to sperm motility regulation.


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