Core fucosylation regulates the ovarian response via FSH receptor during follicular development.

INTRODUCTION: Ovarian low response to follicle-stimulating hormone (FSH) causes infertility featuring hypergonadotropic hypogonadism, ovarian failure, and/or defective ovarian response. OBJECTIVES: N-glycosylation is essential for FSH receptor (FSHR). Core fucosylation catalyzed by fucosyltransferase 8 (FUT8) is the most common N-glycosylation. Core fucosylation level changes between individuals and plays important roles in multiple physiological and pathological conditions. This study aims to elucidate the significance of FUT8 to modulate FSHR function in female fertility. METHODS: Samples from patients classified as poor ovary responders (PORs) were detected with lectin blot and real-time PCR. Fut8 gene knockout (Fut8-/-) mice and FUT8-knockdown human granulosa cell line (KGN-KD) were established and in vitro fertilization (IVF) assay, western blot, molecular interaction, immunofluorescence and immunoprecipitation were applied. RESULTS: Core fucosylation is indispensable for oocyte and follicular development. FSHR is a highly core-fucosylated glycoprotein. Loss of core fucosylation suppressed binding of FSHR to FSH, and attenuated FSHR downstream signaling in granulosa cells. Transcriptomic analysis revealed the downregulation of several transcripts crucial for oocyte meiotic progression and preimplantation development in Fut8-/- mice and in POR patients. Furthermore, loss of FUT8 inhibited the interaction between granulosa cells and oocytes, reduced transzonal projection (TZP) formation and caused poor developmental competence of oocytes after fertilization in vitro. While L-fucose administration increased the core fucosylation of FSHR, and its sensitivity to FSH. CONCLUSION: This study first reveals a significant presence of core fucosylation in female fertility control. Decreased fucosylation on FSHR reduces the interaction of FSH-FSHR and subsequent signaling, which is a feature of the POR patients. Our results suggest that core fucosylation controls oocyte and follicular development via the FSH/FSHR pathway and is essential for female fertility in mammals.

Effect of vaginal microbiota on pregnancy outcomes of women from Northern China who conceived after IVF.

Objective: This study aimed to investigate the correlation between vaginal microbiota and pregnancy outcomes of women who achieved pregnancy via in vitro fertilization (IVF) in Northern China, and to determine a biomarker for evaluation of the risk of preterm births in these women. Methods: In total, 19 women from Northern China women who conceived after IVF and 6 women who conceived naturally were recruited in this study. The vaginal samples of the healthy participants were collected throughout pregnancy, that is, during the first, second, and third trimesters. The V3-V4 region of 16S rRNA was used to analyze the vaginal microbiome, and the bioinformatic analysis was performed using QIIME Alpha and Beta diversity analysis. Results: Either IVF group or Natural conception group, bacterial community diversities and total species number of vagnal samples from who delivered at term were significantly higher than those who delivered before term. Low abundance of vaginal bacteria indicates an increased risk of preterm delivery. Further, more abundant vaginal bacteria was found in first trimesters instead of the next two trimesters. Vignal samples collected during first trimester showed richer differences and more predictive value for pregnancy outcoes. In addition, the diversity of the vaginal bacterial community decreased as the gestational age increased, in all samples. Alloscardovia was only found in participants who conceived after IVF, and the percentage of Alloscardovia in viginal samples of normal delivery group is much higher than the samples from preterm delivery group.Vobrio specifically colonized in vagina of pregnant woman in AFT group (those who conceived after IVF (A), first trimester (F), and delivered at term (T)) and Sporosarcina was detected only in women with AFT and AST (those who conceived after IVF (A), second trimester (S), and delivered at term (T)). These data indicates that Alloscardovia, Vobrio and Sporosarcina have great potential in predicting pregnancy outcomes who pregnanted by vitro fertilization. Conclusions: Vaginal microbiota were more stable in women who conceived naturally and those who carried pregnancy to term. Oceanobacillus might act as a positive biomarker, whereas Sulfurospirillum and Propionispira may act as negative biomarkers for the risk of preterm birth.

Identification of cancer-associated fibroblasts subtypes in prostate cancer.

Introduction: Cancer-associated fibroblasts (CAFs) are one of the most abundant cell types in tumor microenvironment. However, the phenotypic and functional heterogeneities among CAFs have not been sufficiently investigated in prostate cancer. Methods: We obtained and analyzed the single-cell RNA-sequencing data from 26 hormone-sensitive prostate cancer samples and 8 castration-resistant prostate cancer samples, along with the analysis of bulk-sequencing datasets. Furthermore, we performed multicolor immunofluorescence staining to verify the findings from the data analysis. Results: We identified two major CAFs subtypes with distinct molecular characteristics and biological functions in prostate cancer microenvironment, namely αSMA+ CAV1+ CAFs-C0 and FN1+ FAP+ CAFs-C1. Another single-cell RNA-sequencing dataset containing 7 bone metastatic prostate cancer samples demonstrated that osteoblasts in the bone metastatic lesions comprised two subtypes with molecular characteristics and biological functions similar to CAFs-C0 and CAFs-C1 in the primary tumor sites. In addition, we discovered a transcriptional factor regulatory network depending on CAFs-C1. CAFs-C1, but not CAFs-C0, was associated with castration resistance and poor prognosis. We also found that CAFs-C1 signature was involved in treatment resistance to immune checkpoint inhibitors. Discussion: In summary, our results identified the presence of heterogeneous CAFs subtypes in prostate cancer microenvironment and the potential of specific CAFs subtype as therapeutic target for castration-resistant prostate cancer.

[Exploration of factors for failure of non-invasive prenatal testing based on Logistic regression analysis].

OBJECTIVE: To explore the factors for the failure of non-invasive prenatal testing (NIPT) through multifactorial unconditional Logistic regression analysis. METHODS: A total of 3 410 pregnant women who had visited Dalian Women and Children Medical Group from July 2019 to June 2020 were selected as the study subjects and divided into first success NIPT group (n = 3 350) and first failed group (n = 60). Clinical data including age, weight, body mass index (BMI), gestational week, type of pregnancy (singleton/twin), history of delivery, heparin treatment, and conception method [natural conception/assisted reproductive technology (ART)] were collected. Independent sample t-test and Chi-square test were carried out for comparing the two groups, and multi-factorial unconditional Logistic regression analysis was carried out to explore the factors for the failure of NIPT, and receiver operating characteristic curve (ROC) analysis was used to evaluate the diagnosis and predictive effects. RESULTS: Among the 3 410 pregnant women, 3 350 were assigned to the first success NIPT group, and 60 were assigned to the first failed group, and the first-time failure rate was 1.76% (60/3 410). No significant difference was found in age, weight, BMI and method of conception between the two groups (P > 0.05). Compared with first success group, first failed group had lower sampling gestational weeks, lower proportion of women with previous history of delivery, and higher proportion of twin pregnancies and heparin treatment (P < 0.05). Multi-factorial unconditional Logistic regression analysis indicated that sampling gestational week (OR = 0.931, 95%CI: 0.845 ~ 1.026, P < 0.001) and history of heparin use (OR = 8.771, 95%CI: 2.708 ~ 28.409, P < 0.001) are independent factors for first failed NIPT. One-way unconditional Logistic regression analysis for sampling gestational weeks indicated that the regression equation for NIPT screening failure was Logit (P) = -9.867 + 0.319 × sampling gestational week, with the area under the ROC curve being 0.742, a Jordan index of 0.427, and a cutoff value of 16.36 weeks. CONCLUSION: Gestational week and heparin treatment are independent factors for the first failed NIPT. A regression equation has been established and determined the optimal sampling gestational week to be 16.36 weeks, which may provide a reference for the timing of NIPT screening.

Multimodal convolutional neural networks based on the Raman spectra of serum and clinical features for the early diagnosis of prostate cancer.

We collected surface-enhanced Raman spectroscopy (SERS) data from the serum of 729 patients with prostate cancer or benign prostatic hyperplasia (BPH), corresponding to their pathological results, and built an artificial intelligence-assisted diagnosis model based on a convolutional neural network (CNN). We then evaluated its value in diagnosing prostate cancer and predicting the Gleason score (GS) using a simple cross-validation method. Our CNN model based on the spectral data for prostate cancer diagnosis revealed an accuracy of 85.14 ± 0.39%. After adjusting the model with patient age and prostate specific antigen (PSA), the accuracy of the multimodal CNN was up to 88.55 ± 0.66%. Our multimodal CNN for distinguishing low-GS/high-GS and GS = 3 + 3/GS = 3 + 4 revealed accuracies of 68 ± 0.58% and 77 ± 0.52%, respectively.

Stimulated Raman Scattering Microscopy Enables Gleason Scoring of Prostate Core Needle Biopsy by a Convolutional Neural Network.

Focal therapy (FT) has been proposed as an approach to eradicate clinically significant prostate cancer while preserving the normal surrounding tissues to minimize treatment-related toxicity. Rapid histology of core needle biopsies is essential to ensure the precise FT for localized lesions and to determine tumor grades. However, it is difficult to achieve both high accuracy and speed with currently available histopathology methods. Here, we demonstrated that stimulated Raman scattering (SRS) microscopy could reveal the largely heterogeneous histologic features of fresh prostatic biopsy tissues in a label-free and near real-time manner. A diagnostic convolutional neural network (CNN) built based on images from 61 patients could classify Gleason patterns of prostate cancer with an accuracy of 85.7%. An additional 22 independent cases introduced as external test dataset validated the CNN performance with 84.4% accuracy. Gleason scores of core needle biopsies from 21 cases were calculated using the deep learning SRS system and showed a 71% diagnostic consistency with grading from three pathologists. This study demonstrates the potential of a deep learning-assisted SRS platform in evaluating the tumor grade of prostate cancer, which could help simplify the diagnostic workflow and provide timely histopathology compatible with FT treatment. SIGNIFICANCE: A platform combining stimulated Raman scattering microscopy and a convolutional neural network provides rapid histopathology and automated Gleason scoring on fresh prostate core needle biopsies without complex tissue processing.

Association of ADAMTS proteoglycanases downregulation with IVF-ET outcomes in patients with polycystic ovary syndrome: a systematic review and meta-analysis.

BACKGROUND: A disintegrin and metalloproteinase with thrombospondin-like motifs (ADAMTS) is involved in inflammation and fertility in women with polycystic ovary syndrome (PCOS). This study aims to assess the role of ADAMTS level in the outcomes of in vitro fertilization and embryo transfer (IVF-ET) in women with PCOS, using a meta-analytic approach. METHODS: We systematically searched Web of Science, PubMed, EmBase, and the Cochrane library to identify potentially eligible studies from inception until December 2021. Study assess the role of ADAMTS levels in patients with PCOS was eligible in this study. The pooled effect estimates for the association between ADAMTS level and IVF-ET outcomes were calculated using the random-effects model. RESULTS: Five studies involving a total of 181 patients, were selected for final analysis. We noted that ADAMTS-1 levels were positively correlated to oocyte maturity (r = 0.67; P = 0.004), oocyte recovery (r = 0.74; P = 0.006), and fertilization (r = 0.46; P = 0.041) rates. Moreover, ADAMTS-4 levels were positively correlated to oocyte recovery (r = 0.91; P = 0.001), and fertilization (r = 0.85; P = 0.017) rates. Furthermore, downregulation of ADAMTS-1, ADAMTS-4, ADAMTS-5, and ADAMTS-9 was associated with elevated follicle puncture (ADAMTS-1: weighted mean difference [WMD], 7.24, P < 0.001; ADAMTS-4: WMD, 7.20, P < 0.001; ADAMTS-5: WMD, 7.20, P < 0.001; ADAMTS-9: WMD, 6.38, P < 0.001), oocytes retrieval (ADAMTS-1: WMD, 1.61, P < 0.001; ADAMTS-4: WMD, 3.63, P = 0.004; ADAMTS-5: WMD, 3.63, P = 0.004; ADAMTS-9: WMD, 3.20, P = 0.006), and Germinal vesicle oocytes levels (ADAMTS-1: WMD, 2.89, P < 0.001; ADAMTS-4: WMD, 2.19, P < 0.001; ADAMTS-5: WMD, 2.19, P < 0.001; ADAMTS-9: WMD, 2.89, P < 0.001). Finally, the oocytes recovery rate, oocyte maturity rate, fertilization rate, cleavage rate, good-quality embryos rate, blastocyst formation rate, and clinical pregnancy rate were not affected by the downregulation of ADAMTS-1, ADAMTS-4, ADAMTS-5, and ADAMTS-9 (P > 0.05). CONCLUSIONS: This study found that the outcomes of IVF-EF in patients with PCOS could be affected by ADAMTS-1 and ADAMTS-4; further large-scale prospective studies should be performed to verify these results.

The Effect of Age on IVF-ET Outcome in Infertile Patients with PCOS Based on Tiangui Theory in Chinese Medicine.

Objective: Our aim was to investigate the effect of age on the outcome of IVF-ET and ICSI in infertile PCOS patients under the guidance of Tiangui theory in traditional Chinese medicine. Method: This was a retrospective analysis of 532 infertile women with PCOS and 1,392 women with infertility due to tubal factors as the controls. All of the participants were divided into different age groups-aged 20-28 years, 29-35 years, and ≥36 years-according to the stages of female reproductive development in Tiangui theory as described in the Canon of Internal Medicine-Treatise of Ancient Natural Truth. We explored the effect of age on controlled ovarian hyperstimulation (including the initial dosage and duration of Gn and the estradiol level on the day of human chorionic gonadotropin administration); the numbers of retrieved oocytes, 2PN zygotes, and embryos; and the rates of fertilization, clinical pregnancy, abortion, live birth, and OHSS incidence. Results: Compared to controls, the maximum follicular diameter and the numbers of follicles with d ≥ 20 mm, retrieved oocytes, and 2PN zygotes were greater in the PCOS group with age >28 years (p < 0.05). The abortion rate of PCOS patients with age ≤28 years was higher than that of the controls. All PCOS groups and the control group showed reduced numbers of retrieved oocytes and live births with age. The difference in age was not significant in the PCOS groups but was significant in the control group (p < 0.05), and the trend in the PCOS groups was more gradual. Conclusion: The fertility of all subjects decreased with age, but PCOS patients decreased more slowly than in controls at the same age, which verified the applicability of the guiding principles of Tiangui theory in the clinic.

Association between preconception serum lipid concentrations and treatment outcomes in women with PCOS who underwent ovulation induction.

RESEARCH QUESTION: What is the association between preconception serum lipid concentrations and reproductive outcomes after ovulation induction in women with polycystic ovary syndrome (PCOS)? DESIGN: A secondary analysis of a randomized controlled trial with 1000 PCOS women undergoing ovulation induction with clomiphene with or without acupuncture. Preconception serum total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB) were measured. Outcomes were ovulation, conception, pregnancy, live birth and miscarriage. Logistic regression was used to calculate odds ratios (OR) with 95% confidence intervals (CI). RESULTS: In total, 780 women ovulated; 320 women achieved conception, 218 had a clinical pregnancy, 205 had a live birth and 115 had a miscarriage. Serum lipid concentrations per one unit increment were independently associated with reproductive outcomes after controlling for confounders. Increasing LDL-C (OR 0.79, 95% CI 0.63-0.99) was independently associated with a lower chance of ovulation. Increasing total cholesterol (OR 0.76, 95% CI 0.62-0.92), LDL-C (OR 0.73, 95% CI 0.57-0.93), triglycerides (OR 0.74, 95% CI 0.58-0.95) and ApoB (OR 0.34, 95% CI 0.16-0.74) were independently associated with a lower chance of clinical pregnancy. Increased total cholesterol (OR 0.78, 95% CI 0.64-0.96), LDL-C (OR 0.77, 95% CI 0.60-0.99), triglycerides (OR 0.76, 95% CI 0.59-0.96) and ApoB (OR 0.39, 95% CI 0.18-0.86) were independently associated with a lower chance of live birth. Furthermore, increased total cholesterol (OR 1.43, 95% CI 1.06-1.93), LDL-C (OR 1.51, 95% CI 1.04-2.19) and ApoB (OR 3.82, 95% CI 1.17-12.41) were independently associated with a higher chance of miscarriage. CONCLUSIONS: Increased serum lipids were negatively associated with the reproductive outcomes of PCOS women undergoing ovulation induction with clomiphene with or without acupuncture.

Validity of the association between five steroid hormones quantification and female infertility conditions: A new perspective for clinical diagnosis.

Quantification of endogenous steroids and their precursors is essential for diagnosis of a wide range of causes for female infertility. However, immunoassays often overestimate concentrations due to assay interference by other endogenous steroids, especially at low concentrations. In addition, it still lacks of diagnostic reference intervals for five sex steroid hormones, including estradiol (E2), 11-deoxycorticosterone (DOC), 17-hydroxyprogesterone (17-OHP4), pregnenolone (P5) and progesterone (P4), which are crucial for distinguishing between normal individuals and female infertility. Therefore, we developed and validated a reliable and rapid ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method for simultaneous determination and quantification of five sex hormones, giving the reference intervals to accurately evaluate and diagnose female infertility. Our results showed that the developed UPLC-MS/MS assay was fast, high throughput, reproducible, specific, accurate, highly sensitive, and fully validated for simultaneous determination of P5, P4, 17-OHP4, DOC and E2 in human follicular fluid. The simple sample preparation procedure in the current study gave reproducible and consistent recoveries. The validation results show that the UPLC-MS/MS assay has acceptable accuracy and precision at low concentrations, which permits their use in clinical study. In addition, our data gave the concentration range of five steroid hormones quantification in patients with female infertility and normal individuals. Our data can be used to accurately evaluate and diagnose female infertility.

Diagnosis of urogenital cancer combining deep learning algorithms and surface-enhanced Raman spectroscopy based on small extracellular vesicles.

PURPOSE: To identify and compare the capacities of serum and serum-derived small extracellular vesicles (EV) in diagnosis of common urogenital cancer combining Surface-enhanced Raman spectroscopy (SERS) and Convolutional Neural Networks (CNN). MATERIALS AND METHODS: We collected serum samples from 32 patients with prostate cancer (PCa), 33 patients with renal cell cancer (RCC) and 30 patients with bladder cancer (BCa) as well as 35 healthy control (HC), which were thereafter used to enrich extracellular vesicles by ultracentrifuge. Label-free SERS was utilized to collect Raman spectra from serum and matched EV samples. We constructed CNN models to process SERS data for classification of malignant patients and healthy controls (HCs). RESULTS: We collected 650 and 1206 spectra from serum and serum-derived EV, respectively. CNN models of EV spectra revealed high testing accuracies of 79.3%, 78.7% and 74.2% in diagnosis of PCa, RCC and BCa, respectively. In comparison, serum SERS-based CNN model had testing accuracies of 73.0%, 71.1%, 69.2% in PCa, RCC and BCa, respectively. Moreover, CNN models based on EV SERS data show significantly higher diagnostic capacities than matched serum CNN models with the area under curve (AUC) of 0.80, 0.88 and 0.74 in diagnosis of PCa, RCC and BCa, respectively. CONCLUSION: Deep learning-based SERS analysis of EV has great potentials in diagnosis of urologic cancer outperforming serum SERS analysis, providing a novel tool in cancer screening.

Fluidic Flow Enhances the Differentiation of Placental Trophoblast-Like 3D Tissue from hiPSCs in a Perfused Macrofluidic Device.

The human placenta serves as a multifunctional organ to maintain the proper development of a fetus. However, our knowledge of the human placenta is limited due to the lack of appropriate experimental models. In this work, we created an in vitro placental trophoblast-like model via self-organization of human induced pluripotent stem cells (hiPSCs) in a perfused 3D culture macrofluidic device. This device allowed cell seeding, in situ trophoblast lineage differentiation, and formation of trophoblast-like tissues from hiPSCs in a biomimetic microenvironment. It incorporated extracellular matrix (ECM) and fluid flow in a single device. After trophoblast lineage differentiation, we were able to generate the 3D clusters with major cell types of the human placenta, including trophoblast progenitor cytotrophoblasts (CTBs), differentiated subtypes, syncytiotrophoblasts (STBs), and extravillous trophoblasts (EVTs) under long-term 3D culture (∼23 days). Moreover, the formed tissues exhibited enhanced expressions of CTB-, STB-, and EVT-related markers at the level of genes and proteins under a dynamic culture compared with static conditions. RNA-seq analysis revealed the higher expression of trophoblast-specific genes in 3D tissues, indicating the essential role of fluid flow to promote the trophoblast differentiation of hiPSCs. The established placental 3D model combined a bioengineering strategy with developmental principles, providing a promising platform for the study of placental biology in a biomimetic microenvironment in health and disease.

PGT-A: The biology and hidden failures of randomized control trials.

OBJECTIVE: Preimplantation Genetic Testing - Aneuploidy (PGT-A) for embryo selection has undergone significant advancements in the last 2 decades and yet many studies still fail to demonstrate any clinical benefits over traditional embryo morphology selection (Mo-S). To understand this conundrum, we performed a multi-center clinical study of PGT-A patients, where Mo-S and euploid selection (Eu-S) outcomes were directly compared. METHOD: All suitable blastocysts were biopsied and analyzed for chromosome copy number. Outcomes (positive beta hCG, implantation, ongoing pregnancy, and live birth rates) for Eu-S were compared to Mo-S using single embryo transfers. RESULTS: Compared to Eu-S embryos, Mo-S embryos resulted in significant reduction of outcomes for positive beta hCG (p = 0.0005), implantation (p = 0.0008), ongoing pregnancy (p = 0.0046), livebirth (p = 0.0112), babies per transfer (p = 0.0112), and babies per embryo transferred (p = 0.0112). Morphology selection resulted in patients of all age groups having non-euploid embryos chosen for transfer. Post-hoc evaluation of individual clinic performances showed variable transfer outcomes that could potentially confound the true benefits of PGT-A. CONCLUSION: Embryo chromosome status is central to improved embryo transfer outcomes and sole reliance on current morphology-based selection practices, without Eu-S, will always compromise outcomes. Often overlooked but a major effector of successful PGT-A outcomes are individual clinic performances.

Identification of characteristic metabolic panels for different stages of prostate cancer by 1H NMR-based metabolomics analysis.

BACKGROUND: Prostate cancer (PCa) is the second most prevalent cancer in males worldwide, yet detecting PCa and its metastases remains a major challenging task in clinical research setups. The present study aimed to characterize the metabolic changes underlying the PCa progression and investigate the efficacy of related metabolic panels for an accurate PCa assessment. METHODS: In the present study, 75 PCa subjects, 62 PCa patients with bone metastasis (PCaB), and 50 benign prostatic hyperplasia (BPH) patients were enrolled, and we performed a cross-sectional metabolomics analysis of serum samples collected from these subjects using a 1H nuclear magnetic resonance (NMR)-based metabolomics approach. RESULTS: Multivariate analysis revealed that BPH, PCa, and PCaB groups showed distinct metabolic divisions, while univariate statistics integrated with variable importance in the projection (VIP) scores identified a differential metabolite series, which included energy, amino acid, and ketone body metabolism. Herein, we identified a series of characteristic serum metabolic changes, including decreased trends of 3-HB and acetone as well as elevated trends of alanine in PCa patients compared with BPH subjects, while increased levels of 3-HB and acetone as well as decreased levels of alanine in PCaB patients compared with PCa. Additionally, our results also revealed the metabolic panels of discriminant metabolites coupled with the clinical parameters (age and body mass index) for discrimination between PCa and BPH, PCaB and BPH, PCaB and PCa achieved the AUC values of 0.828, 0.917, and 0.872, respectively. CONCLUSIONS: Overall, our study gave successful discrimination of BPH, PCa and PCaB, and we characterized the potential metabolic alterations involved in the PCa progression and its metastases, including 3-HB, acetone and alanine. The defined biomarker panels could be employed to aid in the diagnosis and classification of PCa in clinical practice.

Surface-Enhanced Raman Spectroscopy of Pretreated Plasma Samples Predicts Disease Recurrence in Muscle-Invasive Bladder Cancer Patients Undergoing Neoadjuvant Chemotherapy and Radical Cystectomy.

Objective: To explore the value of surface-enhanced Raman spectroscopy analysis of pretreated plasma samples in prediction of bladder cancer (BCa) recurrence after neoadjuvant chemotherapy (NAC) and radical cystectomy (RC). Patients and Methods: SERS was used to analyze plasma samples collected before biopsy and treatment in BCa patients undergoing NAC and RC. The value of clinicopathological parameters and distinctive SERS peaks in the prediction of disease recurrence were analyzed in Cox regression proportional hazard analysis and Log rank test. Principal component analysis and linear discriminant analysis (PCA-LDA) were employed to process spectral data and construct diagnostic algorithms. Results: A total of 88 patients with 440 plasma SERS spectra were collected. The SRES spectra from recurrent patients were compared with patients who remained recurrence free. The SERS demonstrated higher levels of circulating free nucleic acid components in recurrent population, which is represented by significantly higher intensities at SERS peaks of 725 cm-1, 1328 cm-1 and 1455 cm-1. The SERS also detected significantly lower levels of tryptophan shown as lower significantly intensities at the 1558 cm-1, which is proved to be an independent predictor of BCa recurrence. The addition of SERS peaks of 1558 cm-1 to classic clinicopathological predictors including pathological tumor stage, lymph node metastasis and pathological downstaging can significantly enhance the power of the predictive model from 0.66 to 0.76 in the area under curve (AUC) of receiver operating characteristic (ROC) curves. Meanwhile, the PCA-LDA diagnostic model based on SERS spectra reveals a high accuracy of 85.2% in prediction of disease recurrence and the AUC of 0.92 in the ROC curve. When validated in the leave-one-out cross-validation method, the accuracy of the model remained 84.1%. Conclusion: We show that SERS analysis of plasma before NAC treatment can accurately classify patients with different risks of disease recurrence after surgery and improve the power of clinicopathological predictive models, thus refining clinical decision-making.

Ginkgo biloba extract 761 reduces vascular permeability of the ovary and improves the symptom of ovarian hyperstimulation syndrome in a rat model.

AIMS: Ginkgo biloba extract (EGb) has been widely applied in the treatment of cerebrovascular and neurological diseases. However, the effect of EGb761 on ovarian hyperstimulation syndrome (OHSS), a vascular disorder and life-threatening complication of in vitro fertilization and intracytoplasmic sperm injection therapy (IVF/ICSI), has not been evaluated. MATERIALS AND METHODS: Forty female Wistar rats aged 22-days old (D22) were divided into eight groups: Control rats received intraperitoneal injection of saline for five consecutive days (D22-D26); OHSS model group received 10 IU equine chorionic gonadotropin (eCG) for four consecutive days (D22-D25) and 30 IU of human chorionic gonadotropin (hCG) on the 5th day (D26); Prophylactic treatment group received three doses of EGb761 (50, 100, and 200 mg/kg/day) 1 h before injection of eCG (hCG) for seven consecutive days; Therapeutic treatment group received three doses of EGb761 (50, 100, and 200 mg/kg/day) 48 h after injection of eCG (hCG) for seven consecutive days. RESULTS: All three doses of EGb761 therapeutic medication significantly reduced ovarian mass index of OHSS model rats (p ≤ .01). Furthermore, therapeutic treatment group exhibited improved vascular permeability, decreased estradiol and progesterone levels, lower corpus luteum, and higher follicle numbers compared with the OHSS model. Elevated protein expression of vascular endothelial growth factor (VEGF) and VEGF receptor (VEGFR) in both ovary and kidney of the OHSS model was restrained by EGb761 therapeutic treatment. CONCLUSIONS: EGb761 therapeutic medication decreases vascular permeability in OHSS rat model by inhibiting VEGF and VEGFR expression, which may contribute to the treatment of OHSS.

Establishment of Trophoblast-Like Tissue Model from Human Pluripotent Stem Cells in Three-Dimensional Culture System.

The placenta has a lifelong impact on the health of both the mother and fetus. Despite its significance, human early placental development is poorly understood due to the limited models. The models that can reflect the key features of early human placental development, especially at early gestation, are still lacking. Here, the authors report the generation of trophoblast-like tissue model from human pluripotent stem cells (hPSCs) in three-dimensional (3D) cultures. hPSCs efficiently self-organize into blastocoel-like cavities under defined conditions, which produce different trophoblast subtypes, including cytotrophoblasts (CTBs), syncytiotrophoblasts (STBs), and invasive extravillous trophoblasts (EVTs). The 3D cultures can exhibit microvilli structure and secrete human placenta-specific hormone. Single-cell RNA sequencing analysis further identifies the presence of major cell types of trophoblast-like tissue as existing in vivo. The results reveal the feasibility to establish 3D trophoblast-like tissue model from hPSCs in vitro, which is not obtained by monolayer culture. This new model system can not only facilitate to dissect the underlying mechanisms of early human placental development, but also imply its potential for study in developmental biology and gestational disorders.

Ginkgo biloba extract 761 reduces vascular permeability of the ovary and improves the symptom of ovarian hyperstimulation syndrome in a rat model.

AIMS: Ginkgo biloba extract (EGb) has been widely applied in the treatment of cerebrovascular and neurological diseases. However, the effect of EGb761 on ovarian hyperstimulation syndrome (OHSS), a vascular disorder and life-threatening complication of In Vitro Fertilization and Intracytoplasmic Sperm Injection therapy (IVF/ICSI), has not been evaluated. MATERIALS AND METHODS: Forty female Wistar rats aged 22-days old (D22) were divided into eight groups: Control rats received intraperitoneal injection of saline for 5 consecutive days (D22-D26); OHSS model group received 10 IU equine chorionic gonadotropin (eCG) for 4 consecutive days (D22-D25) and 30 IU of human chorionic gonadotropin (hCG) on the 5th day (D26); Prophylactic treatment group received three doses of EGb761 (50, 100, and 200 mg/kg/d) one hour before injection of eCG (hCG) for 7 consecutive days; Therapeutic treatment group received three doses of EGb761 (50, 100, and 200 mg/kg/d) 48 h after injection of eCG (hCG) for 7 consecutive days. RESULTS: All three doses of EGb761 therapeutic medication significantly reduced ovarian mass index in the OHSS model (p ≤ .01). Further, the therapeutic treatment group exhibited improved vascular permeability, decreased estradiol and progesterone levels, lower corpus luteum, and higher follicle numbers compared with the OHSS model. Elevated protein expression of vascular endothelial growth factor (VEGF) and VEGF receptor (VEGFR) in both ovary and kidney of the OHSS model was restrained by EGb761 therapeutic treatment. CONCLUSIONS: EGb761 therapeutic medication decreases vascular permeability in OHSS rat model by inhibiting VEGF and VEGFR expression, which may contribute to the treatment of OHSS.

IVF embryo choices and pregnancy outcomes.

OBJECTIVE: Investigate the chromosome status and transfer outcomes of embryos selected using routine "best morphology" IVF practices. METHOD: A prospective multi-center, non-selection cohort study involving patients undertaking IVF treatment. Study entry conditions were blastocyst biopsy, >1 embryo with chromosome analysis and frozen transfer of the best morphology embryo. Primary analyses were ßhCG positive, implantation, ongoing pregnancy and birth rates and pregnancy-stage progression failures. RESULTS: After transfer, embryo chromosome status was assigned and outcomes divided into two primary groups - euploids (n = 135) and aneuploids (n = 53). Compared to euploid embryo transfers, aneuploid embryos had significantly lower primary outcomes (+ßhCG: 67% vs. 30%, p < 0.0001; IR: 56% vs. 19%, p < 0.0001; ongoing week 12: 51% vs. 9%, p < 0.0001; and livebirths: 50% vs. 8%, p < 0.0001, respectively). Transfers were further subdivided into smaller groups according to their main chromosomal feature. Stage analysis showed higher failure rates for aneuploids to initiate a pregnancy (p < 0.0001), higher subclinical miscarriage rate (p = 0.0402) and higher clinical miscarriage rate (p = 0.0038). CONCLUSION: Routine morphology-based embryo selection resulted in a high euploid selection rate but a significant number of aneuploid embryos were still inadvertently selected for transfer (28%) with the subsequent high failure rates for pregnancy initiation and progression having implications for appropriate patient management.