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In order to achieve its nucleotide polymorphism (SNP) accurate typing, this paper establishes a molecular diagnostic technique based on fluorescent quantitative PCR for accurate genotyping of the nucleotide polymorphism (SNP) at the rs755555 locus of the SLC39A13 gene. Firstly, Taqman fluorescent ARMS-PCR detection primers and probes were designed for the rs755555 locus and the internal reference gene peptidylprolyl isomerase A (PPIA). Secondly, positive control plasmids were constructed. Finally, based on genotyping accuracy, the primer and probe combinations were optimized, and the PCR reaction system and conditions for the detection reagents were optimized. The optimal primer and probe combination for the wild-type was: WF1, R1, FP1, PIRF5, PIRR5, PIRP5; the optimal combination for the mutant type was: FMF3, R1, FP1, PIRF5, PIRR5, PIRP5. The optimal reaction system for detecting samples was: 0.1 μL each of upstream and downstream primers and probes for the SLC39A13 gene, 0.1 μL each of upstream and downstream primers and probes for the internal standard, 10 μL PerfectStart Ⅱ Probe qPCR SuperMix UDG, 5.4 μL purified water, and 4 μL sample genome. The feasibility of this detection system was confirmed through reproducibility experiments and the detection of 70 samples. This provides a technical foundation for the development of a detection kit for the polymorphism at the rs755555 locus of the SLC39A13 gene.

Purpose: This study aimed to identify the altered pathways and genes associated with freezing damage in human sperm during cryopreservation by multiomics analysis. Materials and Methods: Fifteen fresh human semen samples were collected for transcriptomic analysis, and another 5 fresh human semen samples were obtained for metabolomic analysis. For each semen sample, 1 mL was cryopreserved, and another 1 mL was left untreated for paired design. The results were then combined with previously published proteomic results to identify key genes/pathways. Results: Cryopreservation significantly reduced sperm motility and mitochondrial structure. Transcriptomic analysis revealed altered mitochondrial function, including changes in tRNA-methyltransferase activity and adenosine tri-phosphate/adenosine di-phosphate transmembrane transporter activity. Metabolomic analysis showed that the citrate cycle in mitochondria was significantly altered. Combining transcriptomic, proteomic, and metabolomic analyses revealed 346 genes that were altered in at least two omics analyses. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that metabolic pathways were significantly altered and strongly associated with mitochondria. Five genes were altered in all three omics analyses: COL11A1, COL18A1, LPCAT3, NME1, and NNT. Conclusions: Five genes were identified by multiomics analysis in human cryopreserved sperm. These genes might have specific functions in cryopreservation. Explorations of the functions of these genes will be helpful for sperm cryopreservation and sperm motility improvement or even for reproduction in the future.

BackgroundRecent advances in microbiome research have revealed the presence of diverse microbial communities in human tissues previously thought to be sterile. The present study delves into the emerging field of seminal plasma microbiomics, examining the relationship between semen microbes and semen parameters and post-freezing tolerance.MethodsThe study involved a cohort of healthy fertility males and microbial genome analysis using 16S rRNA to characterize the microbial diversity of seminal plasma. Microbial diversity analysis identified unique amplicon sequence variants (ASVs) and genera dominant in seminal plasma. Spearman’s correlation coefficient was used to assess the relationship between flora and semen parameters. A paired t-test was used to compare the changes in microbiome expression in seminal plasma before and after cryo-resuscitation.ResultsThe relevant results show that the top five phyla in terms of abundance of seminal plasma microbiome were Firmicutes, Bacteroidota, Proteobacteria, Actinobacteriota, and Campylobacterota. Spearman correlation analysis highlighted the association between specific microbial species and semen parameters, between Porphyromonas_asaccharolytica and sperm concentration. Microbial changed significantly after cryo-resuscitation, affecting taxonomic units such as Campylobacter and Muribaculaceae, and KEGG enrichment analyses, suggesting that metabolic pathways are associated with sperm freezing. Eubacterium_coprostanoligenes and Eptoniphilus_duerdenii exhibited a potential impact, while Orynebacterium_tuberculostearicum demonstrated a positive correlation with the recovery rate of progressive motile sperm.ConclusionThe semen of normal fertile individuals contains a microflora component that is closely related to semen quality, including the sperm’s ability to withstand freezing.

Simultaneous Localization and Mapping (SLAM) is one of the key technologies with which to address the autonomous navigation of mobile robots, utilizing environmental features to determine a robot’s position and create a map of its surroundings. Currently, visual SLAM algorithms typically yield precise and dependable outcomes in static environments, and many algorithms opt to filter out the feature points in dynamic regions. However, when there is an increase in the number of dynamic objects within the camera’s view, this approach might result in decreased accuracy or tracking failures. Therefore, this study proposes a solution called YPL-SLAM based on ORB-SLAM2. The solution adds a target recognition and region segmentation module to determine the dynamic region, potential dynamic region, and static region; determines the state of the potential dynamic region using the RANSAC method with polar geometric constraints; and removes the dynamic feature points. It then extracts the line features of the non-dynamic region and finally performs the point–line fusion optimization process using a weighted fusion strategy, considering the image dynamic score and the number of successful feature point–line matches, thus ensuring the system’s robustness and accuracy. A large number of experiments have been conducted using the publicly available TUM dataset to compare YPL-SLAM with globally leading SLAM algorithms. The results demonstrate that the new algorithm surpasses ORB-SLAM2 in terms of accuracy (with a maximum improvement of 96.1%) while also exhibiting a significantly enhanced operating speed compared to Dyna-SLAM.

Background: The question of whether extending embryo culture can provide more benefits for clinical outcomes has been raised. It is important to explore whether the fourth day morulae could be a widely used alternative transplantation option to replace the fifth day blastocysts. Methods: This study involved 1167 patients undergoing their first in in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) cycles. They were divided into two groups: those undergoing embryo transfer on the fourth day (D4 ET, n = 974 patients) and those undergoing embryo transfer on the fifth day (D5 ET, n = 193 patients). The time of the study was between January 2018 and June 2021. We used logistic regression to calculate propensity scores based on several variables such as female age, female body mass index (BMI), infertility duration, basal follicle-stimulating hormone (FSH), basal luteinizing hormone (LH), antral follicle count (AFC), follicular output rate (FORT), number of embryos transferred, number of transferable embryos, and number of high-quality embryos on day 3. The nearest neighbor random match algorithm was employed to determine the matches for each individual in the study population. The propensity score matching (PSM) was performed with a ratio of 1:1, ensuring equal representation of treated and control groups in the analysis. After PSM, 198 patients were included in the two groups. Results: Before matching, patients in the D4 ET group had lower AFC (16 [13, 20] vs. 17 [14, 22], p = 0.027). Estradiol on the human chorionic gonadotropin (hCG) day, FORT, number of oocytes retrieved, number of normal fertilization, number of transferable embryos, and number of high-quality embryos on day 3 were lower in the D4 ET group. After PSM, these characteristics were similar in the two groups, except for the number of high-quality embryos on day 3, which was lower in the D4 ET group (3 [2, 3.5] vs. 4 [2, 4], p = 0.035). The D4 ET group showed a higher live birth rate (54.21% vs. 44.88%, p = 0.015), with a lower rate of 1 embryo transferred (21.36% vs. 43.01%, p < 0 .001) before PSM. D4 ET increased live birth rate in fresh cycles relative to D5 ET before PSM (odds ratio (OR) = 1.552, 95% confidence interval (95% CI): 1.036~2.323, p = 0.033). No significant differences were observed in blastocyst formation rate (33.57 vs. 34.05, p = 0.618; 35.10 vs. 33.80, p = 0.468) and cumulative live birth rate (70.02 vs. 73.58, p = 0.322; 69.70 vs. 72.73, p = 0.638) between the two groups before and after PSM in the fresh cycles. There was no significant difference in endometrial thickness (8.8 [8, 10] vs. 8.9 [8, 9.6], p = 0.689; 8.6 [8, 10] vs. 8.9 [8, 9.7], p = 0.993), one embryo transferred rate (28.35 vs. 25.84, p = 0.639; 22.86 vs. 24.44, p = 0.724), clinical pregnancy rate (54.88 vs. 61.80, p = 0.243; 57.14 vs. 73.33, p = 0.129), live birth rate (43.90 vs. 50.56, p = 0.263; 45.71 vs. 55.56, p = 0.382) between the two groups before and after PSM in the first frozen ET cycle after fresh ET. Conclusions: D4 ET did not have a significant adverse impact on clinical outcome in fresh cycles and first frozen ET cycles relative to D5 ET.

Background: The impact of polycystic ovary syndrome (PCOS) on endometrial receptivity and embryo quality is a subject of debate. Different PCOS patient types may exhibit different effects on these factors. This study aimed to identify causes for low live birth rate by comparing endometrial receptivity and embryo quality among different PCOS types. Methods: Overall, a total of 767 PCOS patients with first in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) treatment classified into phenotype A (n = 167 patients) and phenotype D (n = 600 patients) were eligible for analysis. Patients with single polycystic ovary (n = 406 patients) served as a control group to exclude the advantages of clinical outcome from higher number of oocytes retrieved in women with PCOS. Results: In phenotype A and D, Anti-Müllerian hormone (AMH), antral follicle count (AFC) and basic estradiol were significantly higher compared to single polycystic ovary. However, estradiol, progestin and endometrial thickness on the human chorionic gonadotropin (hCG) day were significantly decreased. In fresh cycles, phenotype A had a significant statistical decrease in the live birth rate compared with single polycystic ovary (35/78 [44.87%] vs. 135/233 [57.94%], p < 0.05), although there was no significant difference in the number of embryo transplants and clinical pregnancy rate among the three groups. It might be associated with the significant reduction of total gonadotropin (Gn) dose, Gn duration, and follicular output rate (FORT) in all the typed PCOS groups. In the first frozen embryo transfer (ET) cycles, no significant difference was observed for estrogen, progestin, or endometrial thickness on the day of ovulation and live birth rate. Women with live birth had a higher estradiol on the hCG day in the phenotype A (3763 [3121, 4752] vs. 2954 [2112, 4036] ng/mL) while a lower estradiol in the single polycystic ovary (3312 [2341, 4465] vs. 3417 [2350, 4638] ng/mL). In multivariate logistic regression analysis, estradiol on the hCG day was a significant independent factor predicting live birth for women with phenotype A (odds ratio (OR) >1.000, 95% confidence interval (95% CI): 1.000–1.001), p = 0.034) and single polycystic ovary (OR

Background. Currently, there are few studies on the effects of hyperlipidemia on semen parameters and serum hormones in men. In this study, we divided the study subjects into two groups of normal and hyperlipidemia according to the criteria, and observed the differences between semen parameters and serum reproductive hormones in hyperlipidaemic men and normal men, to explore the potential associations between the indicators. Materials and Methods. Eight hundred eighty five men attending infertility clinics in six hospitals from September 2016 to June 2017 were selected. Their lipid levels, semen parameters, and serum reproductive hormone levels were tested, and a total of 480 men with normal lipids and 405 men with hyperlipidemia were selected according to the criteria, and the relationship between semen quality, serum reproductive hormones, lipids and semen parameters, and serum hormones was statistically analyzed. Results. There was no significant difference in semen parameters between hyperlipidaemic men and normal men (P >0:05), serum testosterone levels were significantly lower in hyperlipidaemic men (P <0:05), and there was a negative correlation between triglycerides (TG) and testosterone in the blood (P <0:05).Conclusion. Hyperlipidemia does not affect male semen parameters, and changes in testosterone in hyperlipidaemic men may be related to triglycerides. [ABSTRACT FROM AUTHOR]