Embryo Cleavage Research Articles

Pregnancy outcomes in patients with non-obstructive azoospermia undergoing micro-TESE: comparison of fresh vs. frozen-thawed testicular sperm.

The relative merits of fresh or frozen testicular sperm in ICSI remain a matter of contention. This study aims to compare the reproductive outcomes of non-obstructive azoospermia patients undergoing ICSI using fresh and frozen-thawed microdissection testicular sperm extraction (micro-TESE) sperm. A total of 223 men with non-obstructive azoospermia underwent micro-TESE to collect testicular spermatozoa. ICSI cycles were performed using fresh and frozen-thawed spermatozoa. The cleavage states and grading of embryos, fertilization, and pregnancy outcomes were compared between the groups to assess the impact of cryopreservation of testicular spermatozoa on embryo quality and ICSI outcomes. A total of 223 cases were evaluated, with fertilization observed in 208 cases and no fertilization observed in 15 cases. The number of day 3 total embryos and the number of cleavage embryos differed between the fresh and frozen micro-TESE groups, whereas the number of two-pronuclei oocytes, grading of embryos, fertilization, pregnancy, and live birth rates were found to be similar between the two groups. The cryopreservation of spermatozoa obtained by micro-TESE does not affect the fertilization rate or pregnancy outcome in cases of non-obstructive azoospermia. The present findings, when considered in conjunction with the extant evidence, may serve to alleviate concerns regarding the utilization of frozen-thawed micro-TESE sperm in patients with non-obstructive azoospermia.

Cleavage-Stage Embryo Segmentation Using SAM-Based Dual Branch Pipeline: Development and Evaluation with the CleavageEmbryo Dataset.

Embryo selection is one of the critical factors in determining the success of pregnancy in in vitro fertilization (IVF) procedures. Using artificial intelligence to aid in embryo selection could effectively address the current time-consuming, expensive, subjectively influenced process of embryo assessment by trained embryologists. However, current deep learning-based methods often focus on blastocyst segmentation, grading, or predicting cell development via time-lapse videos, often overlooking morphokinetic parameters or lacking interpretability. Given the significance of both morphokinetic and morphological evaluation in predicting the implantation potential of cleavage-stage embryos, as emphasized by previous research, there is a necessity for an automated method to segment cleavage-stage embryos to improve this process. In this article, we introduce the SAM-based Dual Branch Segmentation Pipeline for automated segmentation of blastomeres in cleavage-stage embryos. Leveraging the powerful segmentation capability of SAM, the instance branch conducts instance segmentation of blastomeres, while the semantic branch performs semantic segmentation of fragments. Due to the lack of publicly available datasets, we construct the CleavageEmbryo dataset, the first dataset of human cleavage-stage embryos with pixel-level annotations containing fragment information. We train and test a series of state-of-the-art segmentation algorithms on CleavageEmbryo. Our experiments demonstrate that our method outperforms existing algorithms in terms of objective metrics (mAP 0.748 on blastomeres, Dice 0.694 on fragments) and visual quality, enabling more accurate segmentation of cleavage-stage embryos. The code and sample data in this study can be found at: Https://github.com/12austincc/Cleavage-StageEmbryoSegmentation. Supplementary data are available at Bioinformatics online.

The subcortical maternal complex modulates the cell cycle during early mammalian embryogenesis via 14-3-3

The subcortical maternal complex (SCMC) is essential for safeguarding female fertility in mammals. Assembled in oocytes, the SCMC maintains the cleavage of early embryos, but the underlying mechanism remains unclear. Here, we report that 14-3-3, a multifunctional protein, is a component of the SCMC. By resolving the structure of the 14-3-3-containing SCMC, we discover that phosphorylation of TLE6 contributes to the recruitment of 14-3-3. Mechanistically, during maternal-to-embryo transition, the SCMC stabilizes 14-3-3 protein and contributes to the proper control of CDC25B, thus ensuring the activation of the maturation-promoting factor and mitotic entry in mouse zygotes. Notably, the SCMC establishes a conserved molecular link with 14-3-3 and CDC25B in human oocytes/embryos. This study discloses the molecular mechanism through which the SCMC regulates the cell cycle in early embryos and elucidates the function of the SCMC in mammalian early embryogenesis.

The TLI system can help day-3 single cleavage embryo transfer to obtain comparative clinical outcomes to day-4 or day-5.

The aim was to explore whether the time-lapse imaging system can help day-3 single cleavage embryo transfer to obtain comparative clinical outcomes to day-4 or 5. The data of 1237 patients who underwent single embryo transfer from January 1, 2018, to September 30, 2020, in our reproductive medicine centre were retrospectively analysed. They were divided into the day-3 single cleavage-stage embryo transfer (SCT) group (n = 357), day-4 single morula transfer (SMT) group (n = 129) and day-5 single blastocyst transfer (SBT) group (n = 751) according to the different embryo transfer stage. The clinical and perinatal outcomes of the three groups were analysed and compared. The clinical pregnancy rates of the patients in the day-3 SCT group, day-4 SMT group and day-5 SBT group were 68.07, 70.54 and 72.04%, respectively. The live birth rates were 56.86, 61.24 and 60.99%, respectively. The monozygotic twin (MZT) rate in the day-3 SCT group was significantly lower than that in the day-5 SBT group (P = 0.049). Regarding perinatal outcomes, only the secondary sex ratio had a significant difference (P < 0.05). After age stratification, no improvement was found in the pregnancy outcomes of patients >35 years of age receiving blastocyst transfer. Our findings suggest that for patients with multiple high-quality embryos on day-3, prolonging the culture time can improve the pregnancy outcome to some extent, but it will bring risks. For centres that have established morphodynamic models, day-3 SCT can also achieve an ideal pregnancy outcome and reduce the rate of monozygotic twins and sex ratio.

Assisted oocyte activation significantly improves zygote formation, cleavage, and implantation rates in patients with a history of fertilization failures.

Fertilization check performed at the 18th hour following classic in vitro fertilization procedure (IVF) or intracytoplasmic sperm injection (ICSI) is a critical stage in assisted reproduction. The success of the treatment is significantly reliant on the quantity of zygotes exhibiting two pronuclei. Consequently, low fertilization rates or complete fertilization failure are highly undesirable outcomes for both patients and reproductive specialists. Applying additional calcium ionophore for oocyte activation subsequent to ICSI may offer benefits and potentially enhance treatment outcomes, particularly for patients who have experienced low or absent fertilization rates (FR) in previous treatment cycles. The aim of the study is to evaluate the efficacy of Ca2+ ionophore application for oocyte activation. A retrospective analysis of 924 oocytes obtained from 120 patients who underwent ICSI cycles with a history of low or no fertilization as a result of previous unsuccessful treatment rounds. The next ART cycle followed with additional oocyte Ca2+ ionophore activation applied in 57 of the cases in order to optimize the treatment process (Group 1), and 63 patients were included and their outcomes followed as a control group (Group 2).We conducted a comparative analysis of results in both groups. The study's primary outcomes encompassed fertilization, cleavage embryo quality, blastocyst rate, and established clinical pregnancies. At day 1fertilization check we had 274/386 zygotes (71%FR) in group 1 and 132/410 in group 2 (32.2%FR), (P<0.0001). Twenty-two (34.9%) cycles in group 2 resulted in total fertilization failure (TFF). At the cleavage stage top-quality embryos from group 1 were significantly higher (P = 0.0021) in comparison to group 2. Forty-eight embryo transfers (ET) were performed in group 1 resulting in 41.67% clinical pregnancies versus 33 ET and only 4 pregnancies (12.12%) for group 2 (P = 0.0044). The results confirm the appropriateness of assisted oocyte activation as an additional method in cases of previous fertilization failure cycles.

Cumulative live birth rate of a blastocyst versus cleavage stage embryo transfer policy during in vitro fertilisation in women with a good prognosis: multicentre randomised controlled trial

ObjectivesTo evaluate whether embryo transfers at blastocyst stage improve the cumulative live birth rate after oocyte retrieval, including both fresh and frozen-thawed transfers, and whether the risk of obstetric and...

Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights

BackgroundData sciences and artificial intelligence are becoming encouraging tools in assisted reproduction, favored by time-lapse technology incubators. Our objective is to analyze, compare and identify the most predictive machine learning algorithm developed using a known implantation database of embryos transferred in our egg donation program, including morphokinetic and morphological variables, and recognize the most predictive embryo parameters in order to enhance IVF treatments clinical outcomes.MethodsMulticenter retrospective cohort study carried out in 378 egg donor recipients who performed a fresh single embryo transfer during 2021. All treatments were performed by Intracytoplasmic Sperm Injection, using fresh or frozen oocytes. The embryos were cultured in Geri® time-lapse incubators until transfer on day 5. The embryonic morphokinetic events of 378 blastocysts with known implantation and live birth were analyzed. Classical statistical analysis (binary logistic regression) and 10 machine learning algorithms were applied including Multi-Layer Perceptron, Support Vector Machines, k-Nearest Neighbor, Cart and C0.5 Classification Trees, Random Forest (RF), AdaBoost Classification Trees, Stochastic Gradient boost, Bagged CART and eXtrem Gradient Boosting. These algorithms were developed and optimized by maximizing the area under the curve.ResultsThe Random Forest emerged as the most predictive algorithm for implantation (area under the curve, AUC = 0.725, IC 95% [0.6232–0826]). Overall, implantation and miscarriage rates stood at 56.08% and 18.39%, respectively. Overall live birth rate was 41.26%. Significant disparities were observed regarding time to hatching out of the zona pellucida (p = 0.039). The Random Forest algorithm demonstrated good predictive capabilities for live birth (AUC = 0.689, IC 95% [0.5821–0.7921]), but the AdaBoost classification trees proved to be the most predictive model for live birth (AUC = 0.749, IC 95% [0.6522–0.8452]). Other important variables with substantial predictive weight for implantation and live birth were duration of visible pronuclei (DESAPPN-APPN), synchronization of cleavage patterns (T8-T5), duration of compaction (TM-TiCOM), duration of compaction until first sign of cavitation (TiCAV-TM) and time to early compaction (TiCOM).ConclusionsThis study highlights Random Forest and AdaBoost as the most effective machine learning models in our Known Implantation and Live Birth Database from our egg donation program. Notably, time to blastocyst hatching out of the zona pellucida emerged as a highly reliable parameter significantly influencing our implantation machine learning predictive models. Processes involving syngamy, genomic imprinting during embryo cleavage, and embryo compaction are also influential and could be crucial for implantation and live birth outcomes.

Melatonin partially rescues defects induced by tranexamic acid exposure during oocyte maturation in mice.

Tranexamic acid (TXA) is widely used among young women because of its ability to whiten skin and treat menorrhagia. Nevertheless, its potential effects on oocyte maturation and quality have not yet been clearly clarified. Melatonin (MT) is an endogenous hormone released by the pineal gland and believed to protect cells from oxidative stress injury. In the present study, we used an in vitro maturation model to investigate the toxicity of TXA and the protective role of MT in mouse oocytes. Compared with the control group, the TXA-exposed group had significantly lower nuclear maturation (57.72% vs. 94.08%, P < 0.001) and early embryo cleavage rates (38.18% vs. 87.66%, P < 0.001). Further study showed that spindle organization (52.56% vs. 18.77%, P < 0.01) and chromosome alignment (33.23% vs. 16.66%, P < 0.01) were also disrupted after TXA treatment. Mechanistically, we have demonstrated that TXA induced early apoptosis of oocytes (P < 0.001) by raising the level of reactive oxygen species (P < 0.001), which was consistent with an increase in mitochondrial damage (P < 0.01). Fortunately, all these effects except the spindle defect were successfully rescued by an appropriate level of MT. Collectively, our findings indicate that MT could partially reverse TXA-induced oocyte quality deterioration in mice by effectively improving mitochondrial function and reducing oxidative stress-mediated apoptosis.NEW & NOTEWORTHY Tranexamic acid is increasingly used to whiten skin, reverse dermal damages, and treat heavy menstrual bleeding in young women. However, its potential toxicity in mammalian oocytes is still unclear. Our study revealed that tranexamic acid exposure impaired the mouse oocyte quality and subsequent embryo development. Meanwhile, melatonin has been found to exert beneficial effects in reducing tranexamic acid-induced mitochondrial dysfunction and oxidative stress.

Comparing risk factors and neonatal outcomes in women with intrahepatic cholestasis of pregnancy between assisted reproductive technology and spontaneous conception.

The aim of the present study was to investigate the incidence of intrahepatic cholestasis of pregnancy (ICP) as well as neonatal outcomes between conception via invitro fertilization (IVF) compared with spontaneous conception (SC) and screen the risk factors of ICP in IVF. This retrospective cohort study included 4467 puerperae who conceived via IVF, and 28 336 puerperae who conceived spontaneously and linked the information from neonates. The general linear model (GLM), multivariate logistic regression analysis, a forest plot, and nomogram were used to assess impact factors and risk prediction. Logistic analysis adjusted for confounders revealed significant differences in the ICP rate of singleton delivery (4.24% vs 3.41%, adjusted OR [aOR] = 1.26; 95% confidence interval [CI] 1.03-1.53, P = 0.025) and in groups with total bile acids (TBA) ≥40 and <100 μmol/L (14.77% vs 10.39%, aOR = 1.31; 95% CI: 1.06-1.63, P = 0.023) between IVF and SC. When we divided newborns into singleton and twins delivery, the GLM revealed a higher rate with Apgar score <7 (13.44% vs 3.87%, aOR = 3.85; 95% CI: 2.07-7.17, P < 0.001) and fetal distress for IVF in comparison with SC (19.32% vs 5.55%, OR = 3.48; 95% CI: 2.39-6.95, P < 0.001) in the singleton group. In multivariate logistic regression analysis, body mass index (BMI) (aOR = 1.29; P = 0.031), number of embryo transfers (ET) (single ET vs double ET, aOR = 2.82; P < 0.001), E2 level on the ET day (aOR = 2.79; P = 0.011), fresh ET which compared with frozen ET (FET) (aOR = 1.45; P = 0.014), embryo stage (cleavage embryo vs blastocyst, aOR = 1.75; P = 0.009) and severe ovarian hyperstimulation syndrome (OHSS) which compared with non-OHSS (aOR = 3.73; P = 0.006) were independent predictors of ICP. These predictive factors in the logistic regression model were integrated into the nomogram (C-index = 0.735; 95% CI: 0.702-0.764); for each patient, higher total points indicated a higher risk of ICP. We observed that the ICP rate of singleton delivery was higher in IVF than in SC. In ICP patients, there were higher rates of neonatal Apgar score <7 and fetal distress in IVF than SC and found the predictors of ICP in IVF.

The association between female age and pregnancy outcomes in patients receiving first elective single embryo transfer cycle: a retrospective cohort study

This study aimed to explore the relationship between female age and pregnancy outcomes in patients undergoing their first elective single embryo transfer (eSET) of in vitro fertilization (IVF) cycles. The retrospective cohort study encompassed 7089 IVF/intracytoplasmic sperm injection (ICSI) patients of the Reproductive Medicine Center, Henan Provincial Peoples’ Hospital of China, from September 1, 2016, to May 31, 2022. Patients all received the first eSET in their IVF/ICSI cycles. A generalized additive model (GAM) was employed to examine the the dose–response correlation between age and pregnancy outcomes, namely the clinical pregnancy rate (CPR) and ongoing pregnancy rate (OPR). Logistic regression model was employed to ascertain the correlation between the CPR/OPR and age. The study cohort has an average age of 30.74; 3843 patients got clinical pregnancy rate of 61.40% and ongoing pregnancy rate of 54.21%. The multiple pregnancy rate of is 1.24%. For patients aged 34 and above, the CPR decreased by 10% for every 1-year increase in age (adjusted OR 0.90, 95% CI 0.84–0.96, p < 0.0001). Similarly, the OPR decreased by 16% for every 1-year increase in age (adjusted OR 0.84, 95% CI 0.81–0.88, p < 0.0001). Patients aged 35–37 years had an acceptable OPR of 52.4% after eSET, with a low multiple pregnancy rate (1.1%). Pregnancy outcomes were significantly better in blastocyst cycles compared to cleavage embryo cycles, and this trend was more pronounced in older patients. There was a non-linear relationship between female age and pregnancy outcomes in patients undergoing their first eSET cycles. The clinical pregnancy rate and ongoing pregnancy rate decreased significantly with age, especially in women older than 34 years. For patients under 37 years old, single embryo transfer should be prioritized. For patients over 38 years old with available blastocysts, eSET is also recommended.

Sperm chromatin dispersion assay reliability and assisted reproductive technology outcomes: Systematic review and meta-analysis.

Elevated sperm DNA fragmentation has potential implications for semen quality and fertility. The commonly used sperm chromatin dispersion test offers an indirect estimation but has limitations in terms of bias and variability. This study aimed to assess the reliability of the sperm chromatin dispersion assay for predicting assisted reproductive technology outcomes. This systematic review included studies published until December 2023 that adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed/MEDLINE, Scopus, and Google Scholar databases were searched. Various assisted reproductive technology outcomes in patients with high (≥30%) versus low (<30%) sperm DNA fragmentation were compared using a sperm chromatin dispersion assay and including a sub-analysis of intracytoplasmic sperm injection versus in vitro fertilization. A comprehensive meta-analysis software facilitated quantitative analysis with statistical comparisons between cases and controls. Interstudy heterogeneity was assessed, and sensitivity and publication bias tests were performed. Of the 199 abstracts assessed, 64 full-text articles were screened, and 44 articles were qualitatively synthesized. Fourteen articles representing 5346 participants were quantitatively analyzed. Using the sperm chromatin dispersion assay, elevated sperm DNA fragmentation was associated with lower fertilization and embryo cleavage rates. Notably, high sperm DNA fragmentation levels did not affect the clinical pregnancy, implantation, miscarriage, or live birth outcomes. Sub-analysis revealed lower fertilization, embryo cleavage, clinical pregnancy, live birth rates, and higher miscarriage rates in the intracytoplasmic sperm injection subgroup only. The sperm chromatin dispersion assay did not show significant differences in pregnancy or live birth rates between the high- and low-sperm DNA fragmentation groups. Noteworthy, high sperm DNA fragmentation was associated with worse assisted reproductive technology outcomes in the intracytoplasmic sperm injection group. Given the current quality of the evidence, affected by the experimental design and the absence of correction for female factors of infertility, clinicians should be wary of the assay's limited predictive power for pregnancy and live birth outcomes.

CX43 and oxidative stress are the targets of BCB staining to predict the developmental potential of buffalo oocytes.

This study used the brilliant cresyl blue (BCB) staining method to group buffalo oocytes (BCB+ and BCB-) and perform invitro maturation, invitro fertilization and embryo culture. At the same time, molecular biology techniques were used to detect gap junction protein expression and oxidative stress-related indicators to explore the molecular mechanism of BCB staining to predict oocyte developmental potential. The techniques of buffalo oocytes to analyse their developmental potential and used immunofluorescence staining to detect the expression level of CX43 protein, DCFH-DA probe staining to detect ROS levels and qPCR to detect the expression levels of the antioxidant-related genes SOD2 and GPX1. Our results showed that the invitro maturation rate, embryo cleavage rate and blastocyst rate of buffalo oocytes in the BCB+ group were significantly higher than those in the BCB- group and the control group (p < .05). The expression level of CX43 protein in the BCB+ group was higher than that in the BCB- group both before and after maturation (p < .05). The intensity of ROS in the BCB+ group was significantly lower than that in the BCB- group (p < .05), and the expression levels of the antioxidant-related genes SOD2 and GPX1 in the BCB+ group were significantly higher than those in the BCB- group (p < .05). Brilliant cresyl blue staining could effectively predict the developmental potential of buffalo oocytes. The results of BCB staining were positively correlated with the expression of gap junction protein and antioxidant-related genes and negatively correlated with the reactive oxygen species level, suggesting that the mechanism of BCB staining in predicting the developmental potential of buffalo oocytes might be closely related to antioxidant activity.

Setting the stage for embryo segmentation

Morphogen gradients are critical regulators of embryonic development. In this issue, Liu etal.1 introduce a microfluidic system that externally applies morphogen gradients to an invitro model of human embryo segmentation.It enables the investigation of signaling gradients during this developmental processat unprecedented levels of precision.

GRK2 is critical for the cleavage of the porcine embryo by regulating HSP90 and the AKT pathway.

GRK2 deficiency disrupts the early embryonic development in pigs. The regulation of GRK2 on HSP90 and AKT may also play an important role during embryo development and tumor formation. Among the family of GPCR kinases (GRKs) that regulate receptor phosphorylation and signaling termination, G-protein-coupled receptor kinase 2 (GRK2) binds to HSP90 in response to hypoxia or other stresses. In this study, we investigated the effects of GRK2 knockdown and inhibition on porcine embryonic development from the zygote stage. Immunofluorescence and western blotting were used to determine the localization and expression, respectively, of GRK2 and related proteins. First, GRK2 and p-GRK2 were expressed in both the cytoplasm and membrane and co-localized with HSP90 on the membrane. The mRNA level of GRK2 increased until the 8C-morula stage, suggesting that GRK2 may play an essential role during the early development of the porcine embryos. GRK2 knockdown reduced porcine embryo development capacity and led to significantly decreased blastocyst quality. In addition, inhibition of GRK2 also induced poor ability of embryo development at an early stage, indicating that GRK2 is critical for embryonic cleavage in pigs. Knockdown and inhibition of GRK2 reduced HSP90 expression, AKT activation, and cAMP levels. Additionally, GRK2 deficiency increased LC3 expression, suggesting enhanced autophagy during embryo development. In summary, we showed that GRK2 binds to HSP90 on the membrane to regulate embryonic cleavage and AKT activation during embryonic development in pigs.

Comprehensive preimplantation genetic testing for balanced insertional translocation carriers

BackgroundBalanced insertional translocations (BITs) can increase the risk of infertility, recurrent miscarriages or neonatal birth defects due to chromosomal imbalances in gametes. However, studies on preimplantation genetic testing (PGT) for...

The synergy of morphokinetic parameters and sHLA-G in cleavage embryo enhancing implantation rates.

Objective: This study aimed to assess the relationship between implantation and soluble HLA-G (sHLA-G) expression in cleavage embryo culture medium (ECM) in conjunction with early developmental kinetics determined by time-lapse imaging (TLI). Methods: A retrospective, single-center study was conducted involving 238 embryos from 165 patients who underwent Frozen-thawed embryo transfer (FET) using autologous oocytes, with either single or double embryo transfer. TLI morphokinetic parameters (t2, t3, t4, t5, t6, t7, t8, cc2, s2, cc3, s3) of embryos were analyzed, and sHLA-G levels in D3 ECM were measured using an enzyme-linked immunosorbent assay (ELISA). A hierarchical classification model was developed to categorize embryos into five groups (A, B, C, D, E). The correlation between sHLA-G levels, TLI classification of embryos, and embryo implantation was investigated to establish a non-invasive method for evaluating implantation potential. Multivariate logistic regression analysis was performed to identify potential influencing factors, and receiver operating characteristic (ROC) curves were used to evaluate the predictive value for implantation. Results: Multivariate unconditional logistic regression analysis indicated that TLI parameters t5 and s3 and sHLA-G level in ECM were independent risk factors affecting embryo implantation. The implantation rate decreased from TLI classification A to E. The proposed classification model effectively assessed the implantation potential of embryos. The implantation rate was higher in the sHLA-G positive group compared to the sHLA-G negative group (p < 0.001). The expression of sHLA-G in D3 ECM, combined with the TLI classification model, accurately evaluated the implantation potential of embryos with an AUC of 0.876. Conclusion: The integration of cleavage kinetics and embryonic sHLA-G expression could reliably identify embryos with a high likelihood of successful implantation.

Can We Harvest More Mature Oocytes by Repeating Gonadotropin-Releasing Hormone Agonist Doses in Polycystic Ovarian Syndrome Patients at Risk of OHSS in Antagonist Cycles? A Randomised Clinical Trial.

There is an ongoing debate about the optimal dosage of gonadotropin-releasing hormone (GnRH) agonist for oocyte triggering in polycystic ovarian syndrome (PCOS) patients at risk for ovarian hyperstimulation syndrome (OHSS). In this study, we intend to ascertain whether the use of repeated doses of a GnRH agonist for oocyte triggering in these patients can enhance the outcomes of controlled ovarian stimulation (COS) for in vitro fertilization/ intracytoplasmic sperm injection (IVF/ICSI) cycles. This randomised clinical trial enrolled 70 PCOS women candidates for IVF/ICSI with the standard antagonist protocol at Royan Institute (Tehran, Iran) from May 2020 to June 2022. Patients at risk of OHSS with oestradiol (E2) levels >3000 pg/ml on the day of trigger were randomly assigned to a control or experimental group. Group A (control group) patients received 0.2 mg triptorelin (Decapeptyl®) for final oocyte maturation. Group B (experimental group) patients received a second dose of 0.1 mg Decapeptyl®12 hours after their first dose, for a total dose of 0.3 mg. IVF/ICSI outcomes were compared between the groups. Ultimately, 35 women from the study group and 33 from the control group completed the treatment cycle. Both groups were comparable in terms of demographic characteristics, baseline hormonal profiles, and PCOS phenotypes. The dosage of gonadotropin, stimulation duration, number of retrieved oocytes, oocyte maturation rate, and oocyte recovery ratio did not significantly differ between the groups. No significant differences were found in terms of the number of blastocyst and cleavage embryos, nor the quality of obtained embryos between the groups. The mild to moderate OHSS rate was significantly lower in the study group (P=0.038). A second dose of GnRH agonist 12 hours after the first dose did not improve the number and maturity of oocytes, or pregnancy outcomes in PCOS patients (registration number: NCT04600986).

Live Birth after Cleavage-Stage versus Blastocyst-Stage Embryo Transfer in Assisted Reproductive Technology: A Randomised Controlled Study.

Blastocyst stage transfer appears to improve pregnancy outcomes. The aim of this study is to evaluate the pregnancy results between fresh cycle blastocyst stage embryo transfer and cleavage stage embryo transfer in patients who undergo intracytoplasmic sperm injection (ICSI). This randomised clinical trial study was conducted at the Infertility Research Centre of Milad Hospital in Mashhad, Iran from 2018 to 2020 on 240 infertile women who presented for their first ICSI procedure. These patients were assigned to receive either cleavage embryo transfer (n=112) or blastocyst stage transfer (n=107). Pregnancy outcomes were measured in both groups. There were no differences regarding age, body mass index (BMI), serum follicle-stimulating hormone (FSH), duration of infertility, and aetiology of infertility between the groups (P>0.05). There were more follicles, total oocytes, and metaphase II (M2) oocytes in the blastocyst stage group. Considerably more cleavage stage embryos were transferred compared to the number of transferred blastocysts (P=0.001). The blastocyst group had more vitrified embryos than the cleavage group (P=0.000). The rates of implantation (P=0.332), chemical pregnancy (P=0.165), clinical pregnancy (P=0.694), and live births (P=0.727) were higher in the blastocyst group, but they were not significantly different. The rate of abortion was also not significantly higher in the blastocyst group (P=0.296). Blastocysts transferred in the fresh cycle of an ICSI procedure may be more advantageous compared to cleavage stage embryo transfer (registration number: IRCT20181030041503N1).

The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation

ObjectiveTo explore the optimal models for predicting the formation of high-quality embryos in Poor Ovarian Response (POR) Patients with Progestin-Primed Ovarian Stimulation (PPOS) using machine learning algorithms.MethodsA retrospective analysis was conducted on the clinical data of 4,216 POR cycles who underwent in vitro fertilization (IVF) / intracytoplasmic sperm injection (ICSI) at Sichuan Jinxin Xinan Women and Children’s Hospital from January 2015 to December 2021. Based on the presence of high-quality cleavage embryos 72 h post-fertilization, the samples were divided into the high-quality cleavage embryo group (N = 1950) and the non-high-quality cleavage embryo group (N = 2266). Additionally, based on whether high-quality blastocysts were observed following full blastocyst culture, the samples were categorized into the high-quality blastocyst group (N = 124) and the non-high-quality blastocyst group (N = 1800). The factors influencing the formation of high-quality embryos were analyzed using logistic regression. The predictive models based on machine learning methods were constructed and evaluated accordingly.ResultsDifferential analysis revealed that there are statistically significant differences in 14 factors between high-quality and non-high-quality cleavage embryos. Logistic regression analysis identified 14 factors as influential in forming high-quality cleavage embryos. In models excluding three variables (retrieved oocytes, MII oocytes, and 2PN fertilized oocytes), the XGBoost model performed slightly better (AUC = 0.672, 95% CI = 0.636–0.708). Conversely, in models including these three variables, the Random Forest model exhibited the best performance (AUC = 0.788, 95% CI = 0.759–0.818). In the analysis of high-quality blastocysts, significant differences were found in 17 factors. Logistic regression analysis indicated that 13 factors influence the formation of high-quality blastocysts. Including these variables in the predictive model, the XGBoost model showed the highest performance (AUC = 0.813, 95% CI = 0.741–0.884).ConclusionWe developed a predictive model for the formation of high-quality embryos using machine learning methods for patients with POR undergoing treatment with the PPOS protocol. This model can help infertility patients better understand the likelihood of forming high-quality embryos following treatment and help clinicians better understand and predict treatment outcomes, thus facilitating more targeted and effective interventions.

Exposure of women undergoing in-vitro fertilization to per-and polyfluoroalkyl substances: Evidence on negative effects on fertilization and high-quality embryos

In April 2023, the World Health Organization (WHO) reported that 17.5% of the global adult population experience infertility. What may be the contribution of per-and polyfluoroalkyl (PFAS) to this global public health problem?This study explored the associations between in vitro fertilization (IVF) outcomes and plasma concentrations of individual PFAS and PFAS mixtures in women undergoing in vitro fertilization and embryo transfer (IVF-ET) and how these exposures might affect IVF outcomes. We analyzed 8 PFASs in plasma samples from women (N = 259) who underwent IVF treatment. In multivariable generalized linear mixed models, there were statistically significant associations of higher plasma concentrations of PFNA with reduced numbers of total retrieved oocytes [12.486 (95%CI: 0.446,25.418), p trend = 0.017], 2 PN zygotes [6.467(95%CI: 2.034,14.968), p trend = 0.007], and cleavage embryos [6.039(95%CI: 2.162,14.240), p trend = 0.008]. Similarly, there was a continuous decline in the numbers of retrieved 2 PN zygotes and cleavage embryos with increasing concentration of PFOS [6.467(95%CI: 2.034,14.968), p trend = 0.009 and 6.039(95%CI: 2.162,14.240), p trend = 0.031,respectively] and a negative association between PFHxS concentrations and clinical pregnancy during the initial cycles of frozen ET [0.525(95%CI:0.410,0.640), p trend = 0.021]. To investigate the joint effect of PFAS mixtures, a confounder-adjusted BKMR model analysis showed inverse relationship between PFAS mixtures and the number of high-quality embryos, 2 PN zygotes and cleavage embryos, to which the greatest contributors to the mixture effect are PFDeA and PFBS, respectively. It demonstrated that PFAS exposure might exert negative effects on oocyte yield, fertilization and high-quality embryo in women undergoing IVF. These findings suggest that exposure to PFAS may increase the risk of female infertility and further studies are needed to uncover the potential mechanisms underlying the reproductive effects associated with PFAS.