Ploidy Testing of Blastocoel Fluid for Screening May Be Technically Challenging and More Invasive Than That of Spent Cell Culture Media

The diagnostic accuracy of preimplantation genetic testing (PGT) in assessing the genetic status of embryos: a systematic review and meta-analysis

BACKGROUND

Preimplantation genetic testing (PGT) is widely used in assisted reproduction to assess the genetic status of embryos. However, increasing evidence suggests that the trophectoderm (TE) may not fully reflect the genetic status of the inner cell mass (ICM), raising controversy about the accuracy of TE biopsy. Research in recent years has focused on cell-free DNA (cfDNA) found in blastocoel fluid (BF) and spent culture medium (SCM), as these may contain genetic information from both the TE and ICM. Therefore, further research and validation are essential to determine the reliability and clinical applicability of these diagnostic methods in PGT.

METHODS

Relevant studies published between January 2000 and August 2024 were identified through PubMed and Web of Science (WOS). Risk assessment and publication bias were evaluated using QUADAS-2 and Deek's test. Diagnostic meta-analysis was performed using a bivariate model to combine sensitivity and specificity, with results visualized through forest plots and summary receiver operating characteristic (SROC) curves.

RESULTS

Out of 6,407 initially screened records, 36 studies involving 4,230 embryos were included. TE biopsy was identified as the best method for diagnosing the genetic status of embryos (sensitivity: 0.839; specificity: 0.791, AUC: 0.878), while SCM had slightly lower accuracy (sensitivity: 0.874; specificity: 0.719, AUC: 0.869). The effectiveness of BF (AUC: 0.656) was significantly lower than that of TE biopsy and SCM. Despite this, TE biopsy has not yet achieved ideal diagnostic performance. However, TE biopsies demonstrate a high level of accuracy in diagnosing PGT-SR (AUC: 0.957). Additionally, multiple TE biopsies (AUC: 0.966) or TE biopsies combined with SCM (AUC: 0.927) can enhance the diagnostic efficiency of PGT.

CONCLUSION

The findings of this study suggest that TE biopsy has yet to achieve optimal diagnostic accuracy, which may result in a significant number of missed embryo diagnoses and misdiagnoses. Our results confirm that SCM has the potential to serve as a supplementary test. Employing multiple biopsies or combining TE with SCM may enhance diagnostic efficiency and yield optimal results.

Evolution of Minimally Invasive and Non-Invasive Preimplantation Genetic Testing: An Overview

Preimplantation genetic testing (PGT) has become a common supplementary diagnοstic/testing tοol for in vitro fertilization (ΙVF) cycles due to a significant increase in cases of PGT fοr mοnogenic cοnditions (ΡGT-M) and de novο aneuplοidies (ΡGT-A) over the last ten years. This tendency is mostly attributable to the advancement and application of novel cytogenetic and molecular techniques in clinical practice that are capable of providing an efficient evaluation of the embryonic chromosomal complement and leading to better IVF/ICSI results. Although PGT is widely used, it requires invasive biopsy of the blastocyst, which may harm the embryo. Non-invasive approaches, like cell-free DNA (cfDNA) testing, have lower risks but have drawbacks in consistency and sensitivity. This review discusses new developments and opportunities in the field of preimplantation genetic testing, enhancing the overall effectiveness and accessibility of preimplantation testing in the framework of developments in genomic sequencing, bioinformatics, and the integration of artificial intelligence in the interpretation of genetic data.

Preimplantation genetic testing: A remarkable history of pioneering, technical challenges, innovations, and ethical considerations

Preimplantation genetic testing (PGT) has emerged as a powerful companion to assisted reproduction technologies. The origins and history of PGT are reviewed here, along with descriptions of advances in molecular assays and sampling methods, their capabilities, and their applications in preventing genetic diseases and enhancing pregnancy outcomes. Additionally, the potential for increasing accuracy and genome coverage is considered, as well as some of the emerging ethical and legislative considerations related to the expanding capabilities of PGT.

SCM is potential resource for non-invasive preimplantation genetic testing based on human embryos single-cell sequencing

The ongoing development of assisted reproductive technologies has provided hope to individuals struggling with infertility, promising the potential for a healthy pregnancy. One significant innovation in field of pre-implantation genetic screening (PGS) requires the biopsy of embryos or oocytes, which has potential implications for the health and development of the resultant offspring. Therefore, a non-invasive approach to preimplantation genetic screening is highly sought after. The clinical application of non-invasive preimplantation genetic testing (ni-PGT) is currently limited, with its sensitivity and specificity requiring further investigation. In this study, we used 218 human embryos for single-cell whole genome amplification (WGA), along with ni-PGT of blastocoele fluid (BF) and spent culture medium (SCM). Whole blastocyst (WB), trophectoderm biopsy (TB), and inner cell mass (ICM) from embryo biopsies were used as controls to track genomic signal alterations. Our results showed that the overall genome similarity between SCM and ICM was higher than that of BF. Apart from the Y chromosome, both SCM and ICM demonstrated numerous variant sites across other chromosomes.Further categorization of gene variants in these two sample types revealed that missense variants were the most prevalent, single nucleotide polymorphisms were more common than insertions or deletions, and C > T was the dominant single nucleotide variants in both ICM and SCM. Lastly, we found that the mutant genes in SCM and ICM had different biological functions and pathways. This study indicates that SCM provides a more effective source of embryonic DNA for preimplantation genetic screening, offering a novel reference point for genetic screening research.

Evaluation of non-invasive gene detection in preimplantation embryos: a systematic review and meta-analysis

BACKGROUND

Genetic abnormalities in embryos are responsible for most miscarriages and repeated embryo implantation failures, so a reliable preimplantation genetic screening method is urgently needed. Non-invasive preimplantation genetic testing (niPGT) is a potential method for embryo genetic diagnosis. However, the value of its application is controversial. This meta-analysis aimed to investigate and validate the diagnostic value of niPGT in patients undergoing in vitro fertilization (IVF).

METHODS

This review used the "Preferred Reporting Items" as a systematic review and meta-analysis of the diagnostic test accuracy (PRISMA-DTA) statement. We searched PubMed, Embase, Web of Science Core Collection, and Cochrane Library up to May 2022 to retrieve non-invasive preimplantation gene detection studies. The eligible research quality was evaluated following the quality assessment study-2 system for diagnostic accuracy. The pooled receiver operator characteristic curve (SROC) and the area under SROC (AUC) were used to evaluate diagnostic performance quantitatively. Threshold effect, subgroup analysis, and meta-regression analysis were used to explore the source of heterogeneity. Deeks' funnel plots and sensitivity analyses were used to test the publication bias and stability of the meta-analysis, respectively.

FINDINGS

Twenty studies met the inclusion criteria. The pooled sensitivity, specificity, and AUC were 0.84 (95% CI 0.72-0.91), 0.85 (95% CI 0.74-0.92), and 0.91 (95% CI 0.88-0.93), respectively. Subgroup analysis showed that the spent culture medium (SCM) subgroup had higher sensitivity and lower specificity than the SCM combined with the blastocoel fluid (BF) subgroup. Subgroup analysis showed that the study sensitivity and specificity of < 100 cases were higher than those of ≥ 100. Heterogeneity (chi-square) analysis revealed that sample size might be a potential source of heterogeneity. Sensitivity analysis and Deeks' funnel plots indicated that our results were relatively robust and free from publication bias.

INTERPRETATION

The present meta-analysis indicated that the pooled sensitivity, specificity, and AUC of niPGT in preimplantation genetic testing were 0.84, 0.85, and 0.91, respectively. niPGT may have high detection accuracy and may serve as an alternative model for embryonic analysis. Additionally, by subgroup analysis, we found that BF did not improve the accuracy of niPGT in embryos. In the future, large-scale studies are needed to determine the detection value of niPGT.

The use of voting ensembles to improve the accuracy of deep neural networks as a non-invasive method to predict embryo ploidy status

PURPOSE

To determine if creating voting ensembles combining convolutional neural networks (CNN), support vector machine (SVM), and multi-layer neural networks (NN) alongside clinical parameters improves the accuracy of artificial intelligence (AI) as a non-invasive method for predicting aneuploidy.

METHODS

A cohort of 699 day 5 PGT-A tested blastocysts was used to train, validate, and test a CNN to classify embryos as euploid/aneuploid. All embryos were analyzed using a modified FAST-SeqS next-generation sequencing method. Patient characteristics such as maternal age, AMH level, paternal sperm quality, and total number of normally fertilized (2PN) embryos were processed using SVM and NN. To improve model performance, we created voting ensembles using CNN, SVM, and NN to combine our imaging data with clinical parameter variations. Statistical significance was evaluated with a one-sample t-test with 2 degrees of freedom.

RESULTS

When assessing blastocyst images alone, the CNN test accuracy was 61.2% (± 1.32% SEM, n = 3 models) in correctly classifying euploid/aneuploid embryos (n = 140 embryos). When the best CNN model was assessed as a voting ensemble, the test accuracy improved to 65.0% (AMH; p = 0.1), 66.4% (maternal age; p = 0.06), 65.7% (maternal age, AMH; p = 0.08), 66.4% (maternal age, AMH, number of 2PNs; p = 0.06), and 71.4% (maternal age, AMH, number of 2PNs, sperm quality; p = 0.02) (n = 140 embryos).

CONCLUSIONS

By combining CNNs with patient characteristics, voting ensembles can be created to improve the accuracy of classifying embryos as euploid/aneuploid from CNN alone, allowing for AI to serve as a potential non-invasive method to aid in karyotype screening and selection of embryos.

Clinical application of noninvasive chromosomal screening for elective single-blastocyst transfer in frozen-thawed cycles

BACKGROUND

The objective of this study was to explore the clinical application of noninvasive chromosomal screening (NICS) for elective single-blastocyst transfer (eSBT) in frozen-thawed cycles.

METHODS

This study retrospectively analysed the data of 212 frozen-thawed single-blastocyst transfers performed in our centre from January 2019 to July 2019. The frozen embryos were selected based on morphological grades and placed in preincubation for 6 h after warming. Then spent microdroplet culture media of frozen-thawed blastocysts were harvested and subjected to NICS. The clinical outcomes were evaluated and further stratified analysis were performed, especially different fertilization approaches.

RESULTS

The clinical pregnancy, ongoing pregnancy, and live birth rates in the euploidy group were significantly higher than those in the aneuploidy group (56.2% versus 29.4%) but were nonsignificantly different from those in the chaotic abnormal/NA embryos group (56.2% versus 60.4%). Compared with day6 (D6) blastocysts, D5 blastocysts had a nonsignificantly different euploidy rate (40.4% versus 48.1%, P = 0.320) but significantly increased clinical pregnancy (57.7% versus 22.2%, P < 0.001), ongoing pregnancy (48.1% versus 14.8%, P < 0.001), and live birth rates (48.1% versus 13.0%, P < 0.001). The percentage of chaotic abnormal/NA embryos group was significantly higher among D5 embryos than among D6 embryos (30.1% versus 11.1%, P = 0.006). The percentage of aneuploid embryos was higher among the embryos with lower morphological quality(21.5% among 'good' embryos versus 34.6% among 'fair' embryos versus 46.0% among 'poor' embryos, P = 0.013); correspondingly, the overall clinical pregnancy, ongoing pregnancy and live birth rate rates showed similar declines.

CONCLUSIONS

NICS combined with morphological assessment is an effective tool to guide frozen-thawed SBT. The optimal embryo for SBT is a 'euploid embryo with good morphology', followed sequentially by a 'chaotic abnormal/NA embryo with good morphology', 'euploid embryo with fair morphology', and 'chaotic abnormal/NA embryo with fair morphology'.