Comprehensive analysis of genomic complexity in the 5' end coding region of the DMD gene in patients of exons 1-2 duplications based on long-read sequencing.

BACKGROUND: Dystrophinopathies are the most common X-linked inherited muscle diseases, and the disease-causing gene is DMD. Exonic duplications are a common type of pathogenic variants in the DMD gene, however, 5' end exonic duplications containing exon 1 are less common. When assessing the pathogenicity of exonic duplications in the DMD gene, consideration must be given to their impact on the reading frame. Traditional molecular methods, such as multiplex ligation-dependent probe amplification (MLPA) and next-generation sequencing (NGS), are commonly used in clinics. However, they cannot discriminate the precise physical locations of breakpoints and structural features of genomic rearrangement. Long-read sequencing (LRS) can effectively overcome this limitation. RESULTS: We used LRS technology to perform whole genome sequencing on three families and analyze the structural variations of the DMD gene, which involves the duplications of exon 1 and/or exon 2. Two distinct variant types encompassing exon 1 in the DMD Dp427m isoform and/or Dp427c isoform are identified, which have been infrequently reported previously. In pedigree 1, the male individuals harboring duplication variant of consecutive exons 1-2 in the DMD canonical transcript (Dp427m) and exon 1 in the Dp427c transcript are normal, indicating the variant is likely benign. In pedigree 3, the patient carries complex SVs involving exon 1 of the DMD Dp427c transcript showing an obvious phenotype. The locations of the breakpoints and the characteristics of structural variants (SVs) are identified by LRS, enabling the classification of the variants' pathogenicity. CONCLUSIONS: Our research sheds light on the complexity of DMD variants encompassing Dp427c/Dp427m promoter regions and emphasizes the importance of cautious interpretation when assessing the pathogenicity of DMD 5' end exonic duplications, particularly in carrier screening scenarios without an affected proband.

Glucose metabolism disorder related to follicular fluid exosomal miR-122-5p in cumulus cells of endometriosis patients.

MiR-122-5p, high expression in follicular fluid exosomes of patients with endometriosis, impairs the glucose metabolism function of cumulus cells and may further impair oocyte quality. Endometriosis (EMs) affects fertility in women of childbearing age in many ways. However, the mechanisms are complex, including the decrease in oocyte quality, which still needs to be studied. Exosomes, small vesicles responsible for intercellular information exchange, have been found to be involved in many biological events, such as follicle development and oocyte meiosis recovery. From the perspective of follicular fluid exosomes, this study aims to elucidate the mechanism of EMs-related oocyte quality decline. Follicular fluid was collected from three groups of women: the untreated EMs group (EMs_UT), the satisfactorily treated EMs group (EMs_ST) and the control group (Ctrl). Mouse cumulus oocyte complexes (COCs) were cocultured with exosomes extracted from follicular fluid during in vitro maturation. Oocyte quality and cumulus cell function were assessed. High-throughput sequencing of miRNA in exosomes was conducted. The function of differentially expressed miRNAs was studied by using SVOG cells (human ovarian granulosa cell line) transfected with miRNA mimic and inhibitor. Our date suggest that follicular fluid exosomes from patients with untreated EMs reduce the maturation rate and damage the quality of mouse oocytes. MiR-122-5p, overexpressed in untreated EMs, inhibits the translation of key aldolase enzymes related to glucose metabolism and partially impairs cumulus cells of endometriosis patients.

Developing a Predictive Model for Minimal or Mild Endometriosis as a Clinical Screening Tool in Infertile Women: Uterosacral Tenderness as a Key Predictor.

STUDY OBJECTIVE: To develop a noninvasive predictive model based on patients with infertility for identifying minimal or mild endometriosis. DESIGN: A retrospective cohort study. SETTING: This study was conducted at a tertiary referral center. PATIENTS: A total of consecutive 1365 patients with infertility who underwent laparoscopy between January 2013 and August 2020 were divided into a training set (n = 910) for developing the predictive model and a validation set (n = 455) to confirm the model's prediction efficiency. The patients were randomly assigned in a 2:1 ratio. INTERVENTIONS: Sensitivities, specificities, area under the curve, the Hosmer-Lemeshow goodness of fit test, Net Reclassification Improvement index, and Integrated Discrimination Improvement index were evaluated in the training set to select the optimum model. In the validation set, the model's discriminations, calibrations, and clinical use were tested for validation. MEASUREMENTS AND MAIN RESULTS: In the training set, there were 587 patients with minimal or mild endometriosis and 323 patients without endometriosis. The combination of clinical parameters in the model was evaluated for both statistical and clinical significance. The best-performing model ultimately included body mass index, dysmenorrhea, dyspareunia, uterosacral tenderness, and serum cancer antigen 125 (CA-125). The nomogram based on this model demonstrated sensitivities of 87.7% and 93.3%, specificities of 68.6% and 66.4%, and area under the curve of 0.84 (95% confidence interval 0.81-0.87) and 0.85 (95% confidence interval 0.80-0.89) for the training and validation sets, respectively. Calibration curves and decision curve analyses also indicated that the model had good calibration and clinical value. Uterosacral tenderness emerged as the most valuable predictor. CONCLUSION: This study successfully developed a predictive model with high accuracy in identifying infertile women with minimal or mild endometriosis based on clinical characteristics, signs, and cost-effective blood tests. This model would assist clinicians in screening infertile women for minimal or mild endometriosis, thereby facilitating early diagnosis and treatment.

[Effect of complete Y chromosome AZFc microdeletion on embryo euploidy].

OBJECTIVE: Preimplantation genetic testing (PGT) was performed to analyze the embryo euploidy in patients with complete Y chromosome AZFc microdeletion. METHODS: The clinical data of complete AZFc microdeletion underwent PGT from January 2013 to December 2021 in Reproductive Medicine Center of the First Affiliated Hospital of Nanjing Medical University were retrospectively analyzed. The patients with monogenic disease who underwent PGT during the same period were set as the control group. The basic characteristics, fertilization rate, Day 3 high quality embryo rate, blastocyst formation rate, embryo euploid rate, 45, X embryo ratio was compared between the two groups. RESULTS: A total of 220 patients were included, including 91 patients with complete AZFc microdeletion and 129 patients with monogenic disease. There was no significant difference in age between the two groups. In semen parameters, the sperm concentration, total sperm count and progressive motility in AZFc microdeletion group were lower than those in monogenic disease group, and the differences were statistically significant (P=0.001). The fertilization rate of AZFc microdeletion group was lower than that in monogenic disease group (P=0.012), and there was no significant difference in the number of MII oocytes, Day 3 high-quality embryo rate and blastocyst formation rate. A total of 933 blastocysts were successfully tested, including 496 blastocysts in AZFc deletion group and 437 blastocysts in monogenic disease group. The euploid, aneuploid and mosaic rates of the AZFc microdeletion group were 57.26%, 24.60% and 18.14%, respectively, while those of the monogenic disease group were 66.13%, 23.80% and 10.07%, with statistically significant differences between the two groups (P=0.001). Further analysis of the two groups of aneuploid embryos showed that aberrations occurred most commonly in chromosome16 (3.87%), X (3.46%), 13 (2.44%), 22 (2.24%) and 19 (2.03%) in AZFc microdeletion group, respectively, while the monogenic disease group was 22 (4.35%), 16 (2.97%), 7 (2.74%), 15(1.60%) and 2(1.60%), respectively. The proportion of sex chromosome abnormality in AZFc microdeletion group was higher than that in monogenic disease group (P=0.039), and there was no significant difference in the proportion of 45,X between the two groups. CONCLUSION: Compared with monogenic disease group, The embryo euploid rate in AZFc microdeletion patients decreased and the proportion of 45, X embryos did not increase significantly. It is recommended to select euploid female embryos by PGT, which not only avoids vertical transmission of AZFc microdeletion, but also reduces the risk of miscarriage due to aneuploid embryos.

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.