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Prediction of menstrual cycle phase using cross-sectional measurements of reproductive hormones. 利用生殖激素横断面测量预测月经周期阶段
IF 6.6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-18 DOI: 10.1016/j.fertnstert.2024.10.015
Iris T Lee, Jessica Wu, Nathanael Koelper, Sunni L Mumford, Kurt T Barnhart, Andrea H Roe
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引用次数: 0
Playing the long game for reproductive rights. 为生殖权利玩长期游戏。
IF 6.6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-17 DOI: 10.1016/j.fertnstert.2024.10.009
Nanette Santoro
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引用次数: 0
Is it time for new guidelines for recurrent pregnancy loss integrating genetic testing of products of conception and preimplantation genetic testing? 现在是时候制定《复发性妊娠丢失整合受孕产品基因检测和植入前基因检测新指南》了吗?
IF 6.6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-17 DOI: 10.1016/j.fertnstert.2024.10.008
William H Kutteh, Ralph S Papas, Elias M Dahdouh
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引用次数: 0
Epigenetic Implications of Socioeconomic Status and Education on Sperm DNA Methylation Patterns. 社会经济地位和教育对精子 DNA 甲基化模式的表观遗传学影响
IF 6.6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-16 DOI: 10.1016/j.fertnstert.2024.10.010
Kelaney Stalker, Chad Pollard, Neil J Perkins, Elizabeth A DeVilbiss, Tim Jenkins

Objective: To identify differentially methylated regions (DMRs) and assess epigenetic age and instability scores within each cohort of differing income level and educational attainment.

Design: Retrospective analysis of epigenetic data.

Subjects: 1429 semen samples from participants in the FAZST trial.

Exposure: Socio-economic status, approximated by self-reported income, and education level.

Main outcome measures: Differential sperm DNA methylation, epigenetic age, epigenetic stability RESULTS: There were four significant DMRs associated with the income cohorts and seven associated with the education cohorts, suggesting epigenetic patterns vary with socio-economic status. Adjusted epigenetic age (GLAD values) did not differ significantly in either cohort; however, a higher number of unstable promoters were observed in the lowest education cohort (p-value of 0.006), indicating dysregulation in the epigenome.

Conclusion: These findings suggest a biological link between income and education level in sperm epigenetic patterns, which may influence reproductive health. The increase in unstable promoters in the lower education cohorts may contribute to health disparities associated with educational attainment; however, it is important to consider lifestyle factors and environmental exposures as potential underlying causes. Further research is needed to fully elucidate the implications of these epigenetic changes and their relationship to health outcomes.

摘要确定不同甲基化区域(DMRs),评估不同收入水平和教育程度人群的表观遗传年龄和不稳定性得分:设计:对表观遗传学数据进行回顾性分析:暴露:社会经济地位,近似于自我报告的收入和教育水平:结果:有4个显著的DMRs与收入组群相关,7个与教育组群相关,表明表观遗传模式随社会经济地位而变化。调整后的表观遗传年龄(GLAD 值)在两个队列中没有显著差异;然而,在教育程度最低的队列中观察到较多的不稳定启动子(p 值为 0.006),表明表观遗传组中存在失调:这些研究结果表明,在精子表观遗传模式中,收入和教育水平之间存在生物学联系,这可能会影响生殖健康。教育程度较低的人群中不稳定促进因子的增加可能会导致与教育程度相关的健康差异;然而,重要的是要将生活方式因素和环境暴露作为潜在的根本原因。要充分阐明这些表观遗传变化的影响及其与健康结果的关系,还需要进一步的研究。
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引用次数: 0
Expanding the understanding of eating behaviors in women with polycystic ovary syndrome: addressing lifestyle, hormonal, and psychological factors. 扩大对多囊卵巢综合症女性饮食行为的了解:解决生活方式、荷尔蒙和心理因素。
IF 6.6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-16 DOI: 10.1016/j.fertnstert.2024.10.007
Shumin He, Zongxiang Yue, Qiong Yi
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引用次数: 0
External validation of a fully automated evaluation tool: a retrospective analysis of 68,471 scored embryos. 全自动评估工具的外部验证:对 68,471 个已评分胚胎的回顾性分析。
IF 5.3 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-15 DOI: 10.1016/j.fertnstert.2024.10.006
Lorena Bori, Marco Toschi, Rebeca Esteve, Arantza Delgado, Antonio Pellicer, Marcos Meseguer
<p><strong>Objective: </strong>To externally validate a fully automated embryo classification system for in vitro fertilization (IVF) treatments.</p><p><strong>Design: </strong>Retrospective cohort study.</p><p><strong>Setting: </strong>Clinic.</p><p><strong>Patients: </strong>A total of 6,434 patients undergoing 7,352 IVF treatments contributed 70,456 embryos.</p><p><strong>Intervention: </strong>Embryos were evaluated by conventional morphology and retrospectively scored using a fully automated deep learning-based algorithm across conventional IVF, oocyte donation, and preimplantation genetic testing for aneuploidy (PGT-A) cycles.</p><p><strong>Main outcome measures: </strong>The primary outcomes were implantation and live birth, including odds ratios (ORs) from generalized estimating equation models. Secondary outcomes were embryo morphology, euploidy, and miscarriage. Exploratory outcomes included a comparison between conventional methodology and artificial intelligence algorithm with areas under the receiver operating characteristics curves (AUCs), agreement degree between artificial intelligence and embryologists, Cohen's Kappa coefficient, and relative risk.</p><p><strong>Results: </strong>Implantation and live birth rates increased as the automatic embryo scores increased. The generalized estimating equation model, controlling for confounders, showed that the automatic score was associated with an OR of 1.31 (95% confidence interval [CI], 1.25-1.36) for implantation in treatments using oocytes from patients and an OR of 1.17 (95% CI, 1.14-1.20) in the oocyte donation program, with no significant association with PGT-A treatments. For live birth, the ORs were 1.27 (95% CI, 1.21-1.33) for patients, 1.16 (95% CI, 1.13-1.19) for donors, and 1.05 (95% CI, 1-1.10) for PGT-A cycles. The average score was higher in embryos with better morphology, in euploid embryos compared with aneuploid embryos, and in embryos that resulted in a full-term pregnancy compared with those that miscarried. Concordance between the highest-scoring embryo and the embryo with the best conventional morphology was 71.4% (95% CI, 67.7%-75.0%) in treatments with patient oocytes and 61.0% (95% CI, 58.6%-63.4%) in the oocyte donation program. Overall, the Cohen's Kappa coefficient was 0.63. The automatic embryo score showed similar AUCs to conventional morphology, although implantation was higher when the transferred embryo matched the highest-scoring embryo from each cohort (57.36% vs. 49.98%). Relative risk indicated a 1.14-fold increase in implantation likelihood when the top-ranked embryo was transferred.</p><p><strong>Conclusions: </strong>A fully automated embryo scoring system effectively ranked embryos based on their potential for implantation and live birth. The performance of the conventional methodology was comparable to that of the artificial intelligence-based technology; however, better clinical outcomes were observed when the highest-scoring embryo in the cohor
目的:对体外受精(IVF)治疗中的全自动胚胎分类进行外部验证:从外部验证体外受精(IVF)治疗中的全自动胚胎分类:设计:回顾性队列研究:暴露:通过传统形态学对胚胎进行评估,并使用基于深度学习的全自动算法对传统试管婴儿、卵母细胞捐赠和PGT-A周期的胚胎进行回顾性评分:主要结果是植入和活产,包括来自广义估计方程(GEE)模型的几率比(ORs)。次要结果为胚胎形态、非整倍体和流产。探索性结果包括传统方法与人工智能(AI)算法的比较、ROC 曲线下面积(AUC)、AI 与胚胎学家之间的一致程度、科恩卡帕系数(Cohen's Kappa coefficient)和相对风险(RR):结果:随着自动胚胎评分的提高,植入率和活产率也随之提高。控制混杂因素的 GEE 模型显示,在使用患者卵母细胞的治疗中,自动评分与植入的 OR 值为 1.31(95%CI[1.25-1.36])相关,在卵母细胞捐献项目中,与植入的 OR 值为 1.17(95%CI[1.14-1.20])相关,而在 PGT-A 治疗中,与植入的 OR 值无显著相关。在活产方面,患者的 OR 值为 1.27(95%CI[1.21-1.33]),捐献者的 OR 值为 1.16(95%CI[1.13-1.19]),PGT-A 周期的 OR 值为 1.05(95%CI[1-1.10])。形态较好的胚胎、优卵胚胎与非优卵胚胎相比,以及足月妊娠的胚胎与流产的胚胎相比,平均得分更高。在使用患者卵母细胞的治疗中,得分最高的胚胎与常规形态最佳的胚胎之间的一致性为 71.4%(95%CI[67.7%-75.0%]),而在卵母细胞捐赠计划中,两者之间的一致性为 61.0%(95%CI[58.6%-63.4%])。总体而言,科恩卡帕系数为 0.63。自动胚胎评分的 AUC 与传统形态学相似,但当移植的胚胎与每个队列中得分最高的胚胎相匹配时,植入率更高(57.36% 对 49.98%)。RR表明,移植得分最高的胚胎时,植入可能性增加了1.14倍:结论:全自动胚胎评分可根据胚胎植入和活产的可能性对胚胎进行有效排名。传统方法的性能与基于人工智能技术的方法不相上下;但是,如果移植队列中得分最高的胚胎,则可观察到更好的临床结果。
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引用次数: 0
Reply of the authors: evaluating the hormonal impact of high-fat diets: gaps in gonadotropin and adrenocorticotropic hormone responses and the need for detailed fat composition analysis. 作者的回复:评估高脂饮食对荷尔蒙的影响:促性腺激素和促肾上腺皮质激素反应的差距以及详细脂肪组成分析的必要性。
IF 6.6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-15 DOI: 10.1016/j.fertnstert.2024.10.005
Andrew P Bradford, Thy Nguyen, Katherine Kuhn, Nanette Santoro
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引用次数: 0
Is allotransplantation of ovarian cortex using immunosuppressive therapy really indicated? 使用免疫抑制疗法进行卵巢皮质异位移植真的合适吗?
IF 6.6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-15 DOI: 10.1016/j.fertnstert.2024.10.011
Jacques Donnez, Marie-Madeleine Dolmans
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引用次数: 0
Use of at-home sperm concentration testing in a male hormonal contraceptive efficacy clinical trial. 在男性荷尔蒙避孕药疗效临床试验中使用居家精子浓度测试。
IF 6.6 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-11 DOI: 10.1016/j.fertnstert.2024.10.004
Christina Wang, Yanhe Lue, Ronald S Swerdloff, Dayton Morris, Youngju Pak, Brian T Nguyen, Peter Y Liu, Mitchell D Creinin, Prasanth Surampudi, David Turok, Kenneth I Aston, Richard Anderson, John Reynolds-Wright, Stephanie T Page, John K Amory, Clint Dart, Jeffrey M Kroopnick, Min S Lee, Regine Sitruk Ware, Diana L Blithe
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引用次数: 0
The Supreme Court and reproductive medicine, 2024. 最高法院与生殖医学》,2024 年。
IF 5.3 1区 医学 Q1 OBSTETRICS & GYNECOLOGY Pub Date : 2024-10-10 DOI: 10.1016/j.fertnstert.2024.09.046
Steven R Smith, Joseph S Sanfilippo

The US Supreme Court's most recent Term illustrates the considerable influence the Court has on the practice of reproductive health providers and their patients. Cases included the availability of mifepristone and emergency-care abortions. In addition, the Court substantially changed its deference to administrative agencies (e.g., Food and Drug Administration, Centres for Medicare & Medicaid Services, and United States Department of Homeland Security) which will affect medical practice. National organizations of physicians and reproductive health providers (e.g., American College of Obstetricians and Gynecologists, American Society for Reproductive Medicine, and the Pro-Life Obstetricians and Gynecologists) now play an active role in communicating with the Court to affect the outcome of cases.

美国最高法院最近的任期表明,该法院对生殖健康服务提供者及其患者的实践具有相当大的影响。案例包括米非司酮和紧急护理堕胎的可用性。此外,法院大大改变了对行政机构(如食品和药物管理局、医疗保险和医疗补助服务中心、美国国土安全部)的尊重,这将影响医疗实践。医生和生殖健康服务提供者的全国性组织(如美国妇产科医师学会、美国生殖医学学会和支持生命的妇产科医师协会)现在在与法院沟通以影响案件结果方面发挥着积极作用。
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Fertility and sterility
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