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Alzheimer's disease (AD) is a prevalent neurodegenerative disorder afflicting the elderly population worldwide. The identification of potential gene candidates for AD holds promises for diagnostic biomarkers and therapeutic targets. Employing a comprehensive strategy, this study integrated transcriptomic data from diverse data sources, including microarray and single-cell datasets from blood and tissue samples, enabling a detailed exploration of gene expression dynamics. Through this thorough investigation, 19 notable candidate genes were found with consistent expression changes across both blood and tissue datasets, suggesting their potential as biomarkers for AD. In addition, single cell sequencing analysis further highlighted their specific expression in excitatory and inhibitory neurons, the primary functional units in the brain, underscoring their relevance to AD pathology. Moreover, the functional enrichment analysis revealed that three of the candidate genes were downregulated in synaptic signaling pathway. Further validation experiments significantly showed reduced levels of rabphilin-3A (RPH3A) in 3xTg-AD model mice, implying its role in disease pathogenesis. Given its role in neurotransmitter exocytosis and synaptic function, further investigation into RPH3A and its interactions with neurotrophic proteins may provide valuable insights into the complex molecular mechanisms underlying synaptic dysfunction in AD.
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Enfermedad de Alzheimer , Biomarcadores , Perfilación de la Expresión Génica , Rabfilina-3A , Enfermedad de Alzheimer/genética , Enfermedad de Alzheimer/metabolismo , Enfermedad de Alzheimer/patología , Animales , Ratones , Humanos , Biomarcadores/metabolismo , Rabfilina-3A/metabolismo , Rabfilina-3A/genética , Sinapsis/metabolismo , Transcriptoma , Modelos Animales de Enfermedad , Ratones Transgénicos , Neuronas/metabolismo , Análisis de la Célula Individual/métodosRESUMEN
PURPOSE: To determine if an explainable artificial intelligence (XAI) model enhances the accuracy and transparency of predicting embryo ploidy status based on embryonic characteristics and clinical data. METHODS: This retrospective study utilized a dataset of 1908 blastocyst embryos. The dataset includes ploidy status, morphokinetic features, morphology grades, and 11 clinical variables. Six machine learning (ML) models including Random Forest (RF), Linear Discriminant Analysis (LDA), Logistic Regression (LR), Support Vector Machine (SVM), AdaBoost (ADA), and Light Gradient-Boosting Machine (LGBM) were trained to predict ploidy status probabilities across three distinct datasets: high-grade embryos (HGE, n = 1107), low-grade embryos (LGE, n = 364), and all-grade embryos (AGE, n = 1471). The model's performance was interpreted using XAI, including SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) techniques. RESULTS: The mean maternal age was 38.5 ± 3.85 years. The Random Forest (RF) model exhibited superior performance compared to the other five ML models, achieving an accuracy of 0.749 and an AUC of 0.808 for AGE. In the external test set, the RF model achieved an accuracy of 0.714 and an AUC of 0.750 (95% CI, 0.702-0.796). SHAP's feature impact analysis highlighted that maternal age, paternal age, time to blastocyst (tB), and day 5 morphology grade significantly impacted the predictive model. In addition, LIME offered specific case-ploidy prediction probabilities, revealing the model's assigned values for each variable within a finite range. CONCLUSION: The model highlights the potential of using XAI algorithms to enhance ploidy prediction, optimize embryo selection as patient-centric consultation, and provides reliability and transparent insights into the decision-making process.
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This study investigates the effect of GnRHa pretreatment on pregnancy outcomes in artificial endometrial preparation for frozen-thawed embryo transfer (AC-FET) cycles. A systematic review of English language studies published before 1 September 2022, was conducted, excluding conference papers and preprints. Forty-one studies involving 43,021 participants were analyzed using meta-analysis, with a sensitivity analysis ensuring result robustness. The study found that GnRHa pretreatment generally improved the clinical pregnancy rate (CPR), implantation rate (IR), and live birth rate (LBR). However, discrepancies existed between randomized controlled trials (RCTs) and observational studies; RCTs showed no significant differences in outcomes for GnRHa-treated cycles. Depot GnRHa protocols outperformed daily regimens in LBR. Extended GnRHa pretreatment (two to five cycles) significantly improved CPR and IR compared to shorter treatment. Women with polycystic ovary syndrome (PCOS) saw substantial benefits from GnRHa pretreatment, including improved CPR and LBR and reduced miscarriage rates. In contrast, no significant benefits were observed in women with regular menstruation. More rigorous research is needed to solidify these findings.
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Telemedicine is being applied in assisted reproduction technology (ART) to provide remote consultations, monitoring and support for patients. This study aimed to evaluate the potential advantages of telemedicine in ART treatment in the form of virtual consultations. Studies in which patients were using telemedicine during ART treatment were identified from four scientific databases (PudMed, EMBASE, Scopus, Web of Science). The success of fertility treatments was compared between telemedicine and in-office care, and patient satisfaction with ART through telemedicine was assessed. Eleven studies, comprising 4697 patients, were identified. Quality assessment (Joanna Briggs Institute Critical Appraisal and revised Cochrane risk-of-bias tools) revealed an acceptable risk of bias for both randomized controlled trials and observational studies. Using a fixed-effects model, telemedicine was comparable to in-person care regarding the pregnancy rate achieved (odds ratio 1.02, 95% confidence intervals 0.83-1.26, Pâ¯=â¯0.83). A Q-test suggested that all the included studies were homogeneous. Patients who received telemedicine during fertility treatment reported a high level of satisfaction (91%, 95% confidence intervals 80-96%). Egger's test confirmed that no publication bias was found. Telemedicine could serve as a complementary tool during fertility treatment to facilitate patients' satisfaction and overcome some practical problems without compromising treatment outcomes. Future studies should continue exploring the potential applications of telemedicine in assisted reproduction.
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Satisfacción del Paciente , Técnicas Reproductivas Asistidas , Telemedicina , Humanos , Femenino , Embarazo , Índice de EmbarazoRESUMEN
STUDY QUESTION: How do age, ethnicity, and other characteristics affect serum anti-mullerian hormone (AMH) levels in Asian women undergoing fertility treatment? SUMMARY ANSWER: Age, ethnicity, obesity (BMI ≥ 30 kg/m2), and polycystic ovarian syndrome (PCOS) significantly impacted serum AMH levels, with the rate of decrease accelerating as age increased; a concentration of 4.0 ng/ml was the optimal cut-off for diagnosis of PCOS. WHAT IS KNOWN ALREADY: There are significant differences in ovarian reserve among women from different races and ethnicities, and Asian women often have poorer reproductive outcomes during assisted reproductive treatment cycles. STUDY DESIGN, SIZE, DURATION: A population-based multi-nation, multi-centre, multi-ethnicity prospective cohort study of 4613 women was conducted from January 2020 to May 2021. Infertile women of 20-43 years of age were enrolled. The exclusion criteria included: age <20 or >43, non-Asian ethnicity, and missing critical data. PARTICIPANTS/MATERIALS, SETTING, METHODS: Participants were Asian women of Chinese, Japanese, Korean, Thai, Vietnamese, Malay, Indian, and Indonesian ethnicities from 12 IVF centres across Asia. These women were all naïve to ovarian stimulation cycles and attended IVF centres for fertility assessment. The AMH measurement was performed using an AMH automated assay on a clinically validated platform. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 4556 infertile Asian women were included in the final analyses. The mean ± SD for serum AMH concentrations (ng/ml) across specific age groups were: overall, 3.44 ± 2.93; age <30, 4.58 ± 3.16; 30-31, 4.23 ± 3.23; 32-33, 3.90 ± 3.06; 34-35, 3.21 ± 2.65; 36-37, 2.74 ± 2.44; 38-39, 2.30 ± 1.91; 40 and above, 1.67 ± 2.00. The rate of AMH decrease was â¼0.13 ng/ml/year in patients aged 25-33 and 0.31 ng/ml/year in women aged 33-43. The highest rates of PCOS were found in Indians (18.6%), Malays (18.9%), and Vietnamese (17.7%). Age (P < 0.001), ethnicity (P < 0.001), obesity (P = 0.007), PCOS (P < 0.001), and a history of endometrioma cystectomy (P = 0.01) were significantly associated with serum AMH values. Smoking status, pretreatment with GnRH agonist (GnRHa) or the oral contraceptive pill (OCP), freezing-thawing of blood samples, and sampling on Day 2 to Day 5 of the menstrual cycle or randomly did not appear to affect serum AMH levels. An AMH concentration of 4.0 ng/ml was the optimal cut-off for PCOS diagnosis with a sensitivity of 71.7% and specificity of 75.8% (AUC = 0.81, CI 95%: 0.79-0.83; P < 0.001). LIMITATIONS, REASONS FOR CAUTION: The incidence of PCOS was supposedly high in this cohort as some IVF clinics were tertiary referral centres for managing specific fertility issues encountered by women with PCOS. Treatment with GnRHa or OCP before AMH testing was regionally and ethnically confined, mostly in Hong Kong SAR and Japan. Moreover, this reference for serum AMH value is limited to Asian women of the ethnicities examined and may not apply to other ethnicities not included in the study. WIDER IMPLICATIONS OF THE FINDINGS: This is the first study to collate and construct age-specific reference ranges for serum AMH levels using the same bioassay on Asian women of different ethnicities. The findings of this investigation can assist clinicians to counsel and prognosticate about Asian women's ovarian reserve and reproductive potential, thus providing better strategies for personalized fertility interventions. STUDY FUNDING/COMPETING INTEREST(S): This study was technically supported by Ferring Pharmaceuticals and received no specific grant from any funding agency. All authors have no competing interests to disclose. TRIAL REGISTRATION NUMBER: NCT04203355.
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Infertilidad Femenina , Síndrome del Ovario Poliquístico , Humanos , Femenino , Adulto Joven , Adulto , Hormona Antimülleriana , Estudios Prospectivos , Infertilidad Femenina/terapia , EtnicidadRESUMEN
Osteopontin (OPN) isoforms, including OPNb and OPNc, promote malignancy and may contribute to the pathogenesis of endometriosis, a benign disorder with multiple characteristics resembling malignant tumors. In our experiments, OPNb and OPNc were significantly overexpressed in both endometriosis and adenomyosis compared to the normal endometrium. Upregulation of CD44v and the epithelial-mesenchymal transition (EMT) process was also present in endometriotic lesions. Overexpression of OPNb and OPNc splicing variants in endometriotic cells evoked morphological changes, actin remodeling, cell proliferation, cell migration, and EMT through binding OPN ligand receptors CD44 and αvß3, subsequently activating the PI3K and NF-ĸB pathways. We elucidated the causal role of OPN splice variants in regulating endometriotic cell growth, which may promote the development of OPN-targeted therapies for patients suffering from endometriotic disorders.