Towards the selection of embryos with the greatest implantation potential

Beyond the numbers: Classifying contributory factors and potentially avoidable adverse events in the gynaecology service of National Women's Health at Auckland District Health Board

BACKGROUND

Adverse events (AEs) during health care are common and may have long-term consequences for patients. Although there is a tradition of reviewing morbidity and mortality in gynaecology, there is no recommended system for reporting contributory factors and potential avoidability.

AIMS

To identify factors that contributed to AEs in the gynaecology service at National Women's Health at Auckland District Health Board and to determine potential avoidability, with the use of a multidisciplinary morbidity review.

MATERIALS AND METHODS

Contributory factors from a review of AEs in gynaecology services were identified and classified as organisational and/or management factors, personnel factors and barriers to patients accessing and engaging with care. Potential avoidability of the AE was also considered. A descriptive analysis of the morbidity review of patients who had an AE from 2019 to 2022 was undertaken.

RESULTS

One hundred and fifty-three cases of AEs were reviewed and 77 (50.3%) were associated with contributory factors. Of all cases, 45 (29.4%) had organisational factors, 54 (35.3%) had personnel factors and patient factors resulting in barriers to care contributing to 11 (7.2%) cases. Sixty-five cases (42.5%) were classified as potentially avoidable. Of these 65 cases, 38 (58.5%) had organisational factors, 48 (73.8%) had personnel factors and nine (13.9%) had barriers to care.

CONCLUSIONS

The AE review process reported 50.3% of AEs had contributory factors that were classified as organisational, personnel and barriers to patients accessing care and that 42.5% of the AEs were potentially avoidable. These reviews can be used for making recommendations that potentially lead to improvements in gynaecology.

Autophagy activity is increased in the cumulus cells of women with poor ovarian response

OBJECTIVE

To evaluate the autophagy status of cumulus cells (CCs) in women with poor ovarian response (POR).

MATERIALS AND METHODS

CCs were divided into normal ovarian response (NOR) group and POR group. The ultrastructure of autophagy was analyzed by transmission electron microscopy (NOR: n = 18, POR: n = 26). The mRNA and protein of autophagy markers were detected by Quantitative real-time polymerase chain reaction (NOR: n = 15, POR: n = 19) and Western blotting (NOR: n = 41, POR: n = 38), respectively.

RESULTS

Transmission electron microscopy demonstrated abundant autophagosomes and even autophagic death in the POR group. There were no differences in LC3 and P62 mRNA expression between the two groups (p > 0.05). The BCL2 mRNA expression was lower in the POR group (p < 0.05). Moreover, the LC3 II/I ratio and the P62 protein expression were significantly higher in the POR group (p < 0.05).

CONCLUSIONS

Autophagy in CCs of POR women is activated and the autophagic flux is blocked. The up-regulation of autophagy in CCs may be related to the pathogenesis of POR.

A Proteomic Analysis of Human Follicular Fluid: Proteomic Profile Associated with Embryo Quality

Embryo selection is a key point of in vitro fertilization (IVF). The most commonly used method for embryo selection is morphological assessment. However, it is sometimes inaccurate. Follicular fluid (FF) contains a complex mixture of proteins that are essential for follicle development and oocyte maturation. Analyzing human FF proteomic profiles and identifying predictive biomarkers might be helpful for evaluating embryo quality. A total of 22 human FF samples were collected from 19 infertile women who underwent IVF/intracytoplasmic sperm injection (ICSI) treatment between October 2021 and November 2021. FFs were grouped into two categories on the basis of the day 3 embryo quality, grade I or II in the hqFF group and grade III in the nhqFF group. FF was analyzed by liquid chromatography-tandem mass spectrometry (LC/MS/MS). The key differentially expressed proteins (DEPs) were validated by parallel reaction monitoring (PRM) and enzyme-linked immunosorbent assay (ELISA). Differentially expressed proteins were further analyzed using DAVID software. A total of 558 proteins were identified, of which 50 proteins were differentially expressed in the hqFF versus nhqFF group, including 32 upregulated proteins (> 1.20-fold, P < 0.05) and 18 downregulated proteins (< 0.67-fold, P < 0.05). Bioinformatics analyses showed that the upregulated DEPs were enriched in components of the coagulation and complement systems and negative regulation of peptidase activity, while the downregulated DEPs were enriched in molecular function of extracellular matrix structural and constituent collagen binding. Our results suggested that a number of protein biomarkers in FF were associated with embryo quality. It may help develop an effective and noninvasive method for embryo selection.

Application of artificial intelligence in gametes and embryos selection

Gamete and embryo quality are critical to the success rate of Assisted Reproductive Technology (ART) cycles, but there remains a lack of methods to accurately measure the quality of sperm, oocytes and embryos. The ability of Artificial Intelligence (AI) technology to analyze large amounts of data, especially video and images, is particularly useful in gamete and embryo assessment and selection. The well-trained model has fast calculation speed and high accuracy, which can help embryologists to perform more objective gamete and embryo selection. Various artificial intelligence models have been developed for gamete and embryo assessment, some of which exhibit good performance. In this review, we summarize the latest applications of AI technology in semen analysis, as well as selection for sperm, oocyte and embryo, and discuss the existing problems and development directions of artificial intelligence in this field.

Majority of transferred mosaic embryos developed healthy live births revealed by a preclinical study using embryonic morphology assessment and noninvasive PGT-A on cell-free DNA in blastocoel fluid

PURPOSE

This preclinical study aimed to evaluate whether using transferred mosaic embryos (primarily selected by embryonic morphology assessment (EMA) and compared by the noninvasive preimplantation genetic testing for aneuploidy (niPGT-A) on cell-free DNA in blastocoel fluid (BF)) increases the rates of clinical pregnancies (CPs) and healthy live births (HLBs) and to investigate whether niPGT-A could provide valuable genetic information for the EMA-selected transferred mosaic embryos.

METHODS

This study collected 215 blastocyst culture samples and 182 BF samples. Cell-free DNA from the BF was amplified and examined by next-generation sequencing-based niPGT-A. All 182 patients underwent EMA. However, only 147 underwent in vitro fertilization and embryo transfer, and only 113 clinical outcomes were followed up. Comprehensive chromosome screening for the chorionic villus sampling of spontaneous miscarriages and noninvasive prenatal testing for ongoing pregnancies were also performed.

RESULTS

The implantation rate was 77.55% in 147 transferred high-quality embryos selected by EMA. Among 113 CPs, 16 led to spontaneous miscarriage (14.16%), and 97 resulted in HLBs (85.84%). According to the niPGT-A results for 113 patients with clinical outcomes, 80.4% had CP (euploid, 20.54%; single aneuploid, 1.79%; mosaic chromosome aneuploid and/or segmental aneuploid, 58.04%). Of all the mosaic aneuploids, 90.76% were false positive, transforming to euploid.

CONCLUSIONS

Transferred EMA-selected embryos showed higher implantation rates. The niPGT-A of BF provided valuable genetic status ("-ploid") information, which helped reduce aneuploid-induced implantation failure and miscarriage, thereby increasing the CP and HLB rates. Additionally, majority of the transferred embryos with complex/chaotic mosaic aneuploid would likely develop HLBs.