Reproductive Sciences最新文献

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Deciphering Shared Gene Signatures and Immune Infiltration Characteristics Between Gestational Diabetes Mellitus and Preeclampsia by Integrated Bioinformatics Analysis and Machine Learning. 综合生物信息学分析和机器学习解读妊娠糖尿病和子痫前期的共享基因特征和免疫浸润特征。
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-15 DOI: 10.1007/s43032-025-01847-1
Yaqian Li, Xueqi Li, Tingting Xu, Daijuan Chen, Fan Zhou, Xiaodong Wang
{"title":"Deciphering Shared Gene Signatures and Immune Infiltration Characteristics Between Gestational Diabetes Mellitus and Preeclampsia by Integrated Bioinformatics Analysis and Machine Learning.","authors":"Yaqian Li, Xueqi Li, Tingting Xu, Daijuan Chen, Fan Zhou, Xiaodong Wang","doi":"10.1007/s43032-025-01847-1","DOIUrl":"https://doi.org/10.1007/s43032-025-01847-1","url":null,"abstract":"<p><p>Gestational diabetes mellitus (GDM) and preeclampsia (PE) are common and serious disorders of pregnancy that threaten maternal safety and perinatal outcomes. Generally, GDM is recognized as an independent risk factor for the development of preeclampsia, while a history of preeclampsia in primiparous women is also a risk factor for GDM in subsequent pregnancies. However, the intricate underlying mechanisms of GDM and PE remain elusive. This study developed a diagnostic prediction model for GDM and PE. It investigated the correlation between shared signature genes and immune infiltration characteristics, by employing bioinformatic analysis combined with a machine learning strategy. The microarray datasets GSE103552 and GSE74341 from the Gene Expression Omnibus (GEO) database were used to obtain differentially expressed genes (DEGs). Then, signature genes were identified from the common DEGs via the methods of random forest (RF) algorithms, and artificial neural network (ANN) models. Furthermore, the immune infiltration patterns associated with GDM and PE were explored and validated in the training and testing sets. Moreover, to uncover the molecular mechanisms involved, an mRNA-miRNA network of target genes was constructed, and potential therapeutic drugs for GDM and PE were explored by querying the Connectivity Map (CMap) database. We obtained 45 DEGs by intersecting upregulated and downregulated DEGs from the GSE103552 and GSE74341 datasets. The results of GO annotation indicated that these 45 DEGs were mainly enriched in the process of cell cycle, and KEGG enrichment analysis indicated significant associations with immune signal transduction pathways and immune-related infectious disease. Six signature genes, namely TRA2A, NPM3, PHF5A, SNORD1C, PLXNA3, and C14orf142, were determined by machine learning models, and a diagnostic prediction model for GDM and PE was constructed based on these key genes, validating the highest prediction in the testing set. Moreover, we found increased infiltration of iDCs and T cell co-inhibition in the GDM group, while neutrophil, Th2 cell, and HLA levels were found to have decreased significantly. The PE group showed a significant increase in mast cells. In addition, the identified key genes were found to have potential associations with various immunocytes, immune functions, and checkpoints in the training and testing sets. Then, a miRNA-gene network analysis predicted several key miRNAs-miR-204, miR-23abc, miR-9, miR-205, and miR-455-5p-that might play significant roles in regulating these DEGs. In addition, the research also identified four potential therapeutic compounds for GDM (prima-1-met, geranylgeraniol, MLN-8054, and LY-364947), along with other drugs (deferiprone, peucedanin, MPEP, and IWR-1-endo) that could be targeted for treating PE. In summary, this work identified six signature genes (TRA2A, NPM3, PHF5A, SNORD1C, PLXNA3, and C14orf142) as potential genetic biomarkers for the diagnostic predic","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ethyl Pyruvate as a Potential Therapeutic Agent for Endometriosis: A Perspective. 丙酮酸乙酯作为子宫内膜异位症潜在治疗剂的研究进展。
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-13 DOI: 10.1007/s43032-025-01875-x
Suresh Singh Yadav, Rohini Ravindran Nair
{"title":"Ethyl Pyruvate as a Potential Therapeutic Agent for Endometriosis: A Perspective.","authors":"Suresh Singh Yadav, Rohini Ravindran Nair","doi":"10.1007/s43032-025-01875-x","DOIUrl":"https://doi.org/10.1007/s43032-025-01875-x","url":null,"abstract":"<p><p>Endometriosis is a disease where vascularised tissue similar to endometrium (the lining of the uterus) grows outside of the uterus. Its pathogenesis involves a complex interplay of inflammation, angiogenesis, cellular proliferation, reactive oxygen species (ROS) production, altered energy metabolism, and epithelial-to-mesenchymal transition (EMT).Even though endometriosis was described more than 150 years ago, we have been unable to find its effective therapy. Conservative treatment approaches like non-steroidal anti-inflammatory drugs or hormone therapy are available to date for the treatment of endometriosis. Anti-angiogenic inhibitors and immunomodulators like IFN-α, β, and TNF-α inhibitors are also potential treatment options. These treatments are inadequate as they either affect the symptoms only of endometriosis or target only one pathological pathway involved. Surgical excision of the endometriotic lesion is also possible, however, recurrence of the disease is reported in several cases. A single therapeutic agent targeting several pathological processes in endometriosis would always be a better option. Here we present our perspective on the pharmacological potential of Ethyl pyruvate and also propose it as a promising therapeutic agent for endometriosis as it inhibits inflammation, cell proliferation, angiogenesis, aerobic glycolysis, EMT, and ROS activity together.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143980594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Mechanisms of LncRNA FTX in Regulating Islet Function of Pregnant Mice Born With Low-Protein Diet-Induced Intrauterine Growth Retardation. LncRNA FTX调节低蛋白饮食诱导的宫内生长迟缓妊娠小鼠胰岛功能的机制
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-08 DOI: 10.1007/s43032-025-01870-2
Li Wang, Yihui Li, Chengting Dai, Yi Yuan, Qingxin Yuan, Jianbo Li
{"title":"Mechanisms of LncRNA FTX in Regulating Islet Function of Pregnant Mice Born With Low-Protein Diet-Induced Intrauterine Growth Retardation.","authors":"Li Wang, Yihui Li, Chengting Dai, Yi Yuan, Qingxin Yuan, Jianbo Li","doi":"10.1007/s43032-025-01870-2","DOIUrl":"https://doi.org/10.1007/s43032-025-01870-2","url":null,"abstract":"<p><p>Glucose metabolism during pregnancy in adult females born with intrauterine growth restriction (IUGR) remains inadequately understood. This study aims to investigate how LncRNA FTX regulates islet function during pregnancy in F1 female mice born with IUGR (F1 IUGR pregnant mice). A pregnant mouse model was established using F1 female mice born with IUGR (F1 IUGR pregnant mouse model). Intraperitoneal glucose tolerance test (IPGTT), immunohistochemistry (IHC) staining, quantitative real-time PCR (qPCR) were performed in both F1 IUGR and normal mice during pregnancy and non-pregnancy periods. RNA-sequencing was conducted on islets from F1 IUGR and normal pregnant mice. Insulin-related gene expression analysis, cell proliferation, and apoptosis assessment were performed in TC6 cells following FTX knockdown or overexpression. A luciferase reporter assay was conducted to validate the molecular interactions. F1 IUGR pregnant mice exhibited a smaller increase in insulin-staining area and lower upregulation of insulin-related gene expression levels compared to normal pregnant mice. There were 1,007 differentially expressed lncRNAs between F1 IUGR and normal pregnant islets; among these, FTX was down-regulated during pregnancy, although its downregulation in F1 IUGR pregnant mice was less pronounced than in normal pregnant mice. FTX was closely related to cell proliferation activity, apoptosis, insulin-related transcription factor expression. The pten/PI3K/AKT pathway was also regulated by FTX. Luciferase reporter assay confirmed FTX acted as a competing endogenous RNA (CeRNA) to target pten by sponging miR-22-3p. LncRNA FTX regulates islet function during pregnancy in F1 mice born with IUGR via the miR-22-3p/pten axis.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143993531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
17beta-estradiol (E2) Regulates Malignancies and Stemness in Endometrial Carcinoma (EC) via Interacting with ESR1. β -雌二醇(E2)通过与ESR1相互作用调节子宫内膜癌(EC)的恶性肿瘤和干性。
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-08 DOI: 10.1007/s43032-025-01871-1
Xiaochao Xu, Xinzhi Dai, Cheng Huang, Xia Guan, Cuiwei Zhang
{"title":"17beta-estradiol (E2) Regulates Malignancies and Stemness in Endometrial Carcinoma (EC) via Interacting with ESR1.","authors":"Xiaochao Xu, Xinzhi Dai, Cheng Huang, Xia Guan, Cuiwei Zhang","doi":"10.1007/s43032-025-01871-1","DOIUrl":"https://doi.org/10.1007/s43032-025-01871-1","url":null,"abstract":"<p><p>Endometrial cancer is one of the most common and fatal gynaecologic malignancies and is associated with the presence of estrogen. Endometrial cancer stem-like cells (ECSCs) are stem-like cell subpopulations endowed with self-renewal and differentiation capacities and are critical for EC progression. However, it is still unknown whether estrogen is involved in regulating stemness in EC and contributes to malignancies. Therefore, we investigated the regulatory effects of E2 treatment on oestrogen receptor-1 (ESR1).ESR1 expression was measured in EC tissues; After ESR1 overexpression of knockdown, the effects of E2 treatment was evaluated, including cell proliferation, sphere formation, invasion and colony formation. Our results indicate that ESR1 is critical for the regulatory effect of E2 on EC cells. After being cultured in serum-free medium, the ECSCs were found to be enriched in stemness markers, including CD133, CD44 and ALDH1. Interestingly, enriched ECSCs presented significantly lower expression levels of these factors than the parental cells. Overexpression of ESR1 slightly affected stemness and malignant potential in ECSCs, and the addition of 2 nM E2 markedly decreased stemness and inhibited malignant behaviours of ECSCs, including proliferation, invasion and tumour formation, in soft agar. Moreover, the addition of E2 significantly inhibited the expression of epithelial-mesenchymal transition (EMT) markers, including ZEB1, ZEB2, and E-cadherin.ESR1 is critical for regulating EC progression in the presence of E2, partially by regulating stemness in ECSCs, indicating that ESR1 might be a potential therapeutic target for EC.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144009723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Decreased FTO Expression Promotes Ovarian Granulosa Cells Aging. FTO表达降低促进卵巢颗粒细胞衰老。
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-08 DOI: 10.1007/s43032-025-01873-z
Jia Ying, Xuehong Zhang, Xiaoyan Sun, Qingxia Meng
{"title":"Decreased FTO Expression Promotes Ovarian Granulosa Cells Aging.","authors":"Jia Ying, Xuehong Zhang, Xiaoyan Sun, Qingxia Meng","doi":"10.1007/s43032-025-01873-z","DOIUrl":"https://doi.org/10.1007/s43032-025-01873-z","url":null,"abstract":"<p><p>This study aimed to investigate the role of fat mass and obesity-associated protein (FTO), an N6-methyladenosine (m<sup>6</sup>A) demethylase, in ovarian aging by examining the effects of FTO downregulation on key biological processes in human ovarian granulosa cells (KGN), including proliferation, apoptosis regulation, senescence, and steroidogenic function. Stable FTO knockdown in KGN cells was achieved using lentivirus, complemented by modeling premature senescence with H<sub>2</sub>O<sub>2</sub> treatment. The biological functions, such as cell proliferation, apoptosis, aging, and sex hormone secretion, were assessed using RT-qPCR, WB, EdU staining, and ELISA, respectively. Silencing FTO significantly inhibited the proliferation of KGN cells, promoted apoptosis and senescence, and disrupted their endocrine function. These effects were consistent in the H<sub>2</sub>O<sub>2</sub>-induced senescence model. Our findings identify FTO as a critical regulator of ovarian homeostasis. Depletion of FTO impairs granulosa cell viability, accelerates senescence-related functional decline, and diminishes steroidogenic capacity through m<sup>6</sup>A-mediated modulation of key biosynthetic enzymes. These insights highlight FTO as a potential therapeutic target for age-related ovarian dysfunction.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144053878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ovarian Torsion after Controlled Ovarian Hyperstimulation Cycles with a Prolonged Recovery State: A Case Series and Review of the Literature. 控制卵巢过度刺激周期后卵巢扭转与长时间恢复状态:一个案例系列和文献回顾。
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-07 DOI: 10.1007/s43032-025-01859-x
Alyson Dennis, Emily Weidenbaum, Jennifer K Blakemore, Jacquelyn Shaw
{"title":"Ovarian Torsion after Controlled Ovarian Hyperstimulation Cycles with a Prolonged Recovery State: A Case Series and Review of the Literature.","authors":"Alyson Dennis, Emily Weidenbaum, Jennifer K Blakemore, Jacquelyn Shaw","doi":"10.1007/s43032-025-01859-x","DOIUrl":"https://doi.org/10.1007/s43032-025-01859-x","url":null,"abstract":"<p><p>We aim to present two rare cases of ovarian torsion immediately following controlled ovarian hyperstimulation and their prolonged recovery state at an academic fertility center. Patient 1 is a 38-year-old nulligravid woman with a history of prior right oophorectomy and patient 2 is a 37-year-old nulligravid woman with a previous left oophorectomy. The main objective of our paper is to characterize the recovery time after ovarian detorsion surgery. These case reports highlight that ovarian torsion after controlled ovarian hyperstimulation may be associated with prolonged systemic symptoms including increased abdominal pain, persistent low-grade fevers, and mild leukocytosis for several weeks following laparoscopic ovarian de-torsion. A proposed mechanism for this extended inflammatory state could be due to higher levels of luteinizing hormone surge activating Phospholipase C-Protein Kinase C pathway and vascular endothelial growth factors involved in follicular growth and luteinization.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144034642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reclassifying a Novel POMT1 Variant by Integrating Functional Analysis and Bioinformatics: Implications for Preimplantation Genetic Testing. 通过整合功能分析和生物信息学重新分类新的POMT1变异:植入前基因检测的意义。
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-01 Epub Date: 2024-12-30 DOI: 10.1007/s43032-024-01761-y
Binyu Ma, Zhidan Hong, Li Zhang, Ling Ma, Jie Duan, Ying Gao, Mei Wang, Yuanzhen Zhang
{"title":"Reclassifying a Novel POMT1 Variant by Integrating Functional Analysis and Bioinformatics: Implications for Preimplantation Genetic Testing.","authors":"Binyu Ma, Zhidan Hong, Li Zhang, Ling Ma, Jie Duan, Ying Gao, Mei Wang, Yuanzhen Zhang","doi":"10.1007/s43032-024-01761-y","DOIUrl":"10.1007/s43032-024-01761-y","url":null,"abstract":"<p><p>The advancement of next-generation sequencing has spurred the growing adoption of whole-exome sequencing (WES) for genetic screening. Preimplantation genetic testing for monogenic disorders (PGT-M) can effectively prevent the transmission of pathogenic variants. However, interpreting vast data volumes and ensuring precise genetic counseling, especially with variants of uncertain significance (VUS), remains challenging. In this study, we investigated a family with recurrent fetal malformations detected by prenatal ultrasound. WES identified compound heterozygous POMT1 variants, c.1052 + 1G > A and c.1483G > A in the proband; the latter was initially categorized as a VUS. Then our bioinformatics analysis revealed that c.1483G > A variant was located in a highly conserved domain essential for POMT1's enzymatic activity, potentially altering the protein's 3D structure. In vitro studies using HEK293T cells showed that the variant led to aberrant POMT1 mRNA and protein accumulation, impaired cell viability, and abnormal protein localization in the cytoplasm, indicating disruption of normal glycosylation processes. Combining bioinformatics analysis with in vitro experiments, we reclassified the c.1483G > A variant as likely pathogenic. Subsequently, the couple opted for PGT-M, culminating in the birth of a healthy child. Our findings underscore the pivotal role of genetic testing in recurrent fetal malformations and expand the spectrum of POMT1 variants. The successful reclassification of the variant by integrating in vitro experiments with bioinformatics provides substantial evidence for clinicians implementing PGT-M, offering a feasible strategy for counseling with VUS detected by WES.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":"1612-1625"},"PeriodicalIF":2.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142910415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Impact of BMI on PCOS Patients and Transcriptome Profiling and Bioinformatic Analysis of Granulosa Cells in PCOS Patients with High and Low BMI. BMI对多囊卵巢综合征患者的影响及高、低BMI多囊卵巢综合征患者颗粒细胞转录组和生物信息学分析
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-01 Epub Date: 2025-01-16 DOI: 10.1007/s43032-024-01783-6
Ping Tao, Xiaohong Yan, Youzhu Li, Zhanxiang Wang
{"title":"The Impact of BMI on PCOS Patients and Transcriptome Profiling and Bioinformatic Analysis of Granulosa Cells in PCOS Patients with High and Low BMI.","authors":"Ping Tao, Xiaohong Yan, Youzhu Li, Zhanxiang Wang","doi":"10.1007/s43032-024-01783-6","DOIUrl":"10.1007/s43032-024-01783-6","url":null,"abstract":"<p><strong>Purpose: </strong>To explore the impact of high body mass index (BMI) on the embryo quality and clinical outcomes of polycystic ovary syndrome (PCOS) patients, and the possible genes involved.</p><p><strong>Methods: </strong>Patients who underwent in-vitro fertilization (IVF) treatment and embryo transfer in our center from November 2014 to September 2023, were divided into low BMI PCOS (LBP) group, high BMI PCOS (HBP) group, and high BMI control (HBC) group. Transcriptome sequencing was performed in eight PCOS patients' granulosa cells (GCs).</p><p><strong>Results: </strong>A total of 812 IVF/intracytoplasmic sperm injection (ICSI) cycles in the embryo part; and 489 fresh, 634 frozen-warmed embryo transfer (FET) cycles from the clinical part were included. The ICSI normal fertilization rate of HBP group was decreased compared to LBP and HBC groups (p = 0.013&0.008). The IVF blastocyst development rate in HBP group was lower than LBP group (p = 0.01). The preterm birth rate in HBP group was higher than in LBP (30.66% vs. 16.48%, p = 0.041) and HBC groups (30.66% vs. 11.34%, p = 0.002), the adjusted OR (AOR) of preterm birth and BMI was 1.124 (p = 0.023) in FET cycles. Transcriptome sequencing result of GCs showed that differentially expressed miRNAs/lncRNA/circRNA/mRNAs in two PCOS groups were 61, 450, 83, and 568, respectively. The hub genes analysis, enrichment analysis and competing endogenous RNA network revealed that cell cycle, oocyte maturation, systemic lupus erythematosus, oxidative phosphorylation, and mitogen-activated protein kinases (MAPK) signaling pathways had important roles in the embryo development and pregnancy process.</p><p><strong>Conclusions: </strong>The combined effect of PCOS and obesity reduced oocyte quality and embryonic development potential, finally led to poorer clinical outcomes.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":"1626-1643"},"PeriodicalIF":2.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143010392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine Learning for Predicting Stillbirth: A Systematic Review. 预测死产的机器学习:系统回顾
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-01 Epub Date: 2024-07-29 DOI: 10.1007/s43032-024-01655-z
Qingyuan Li, Pan Li, Junyu Chen, Ruyu Ren, Ni Ren, Yinyin Xia
{"title":"Machine Learning for Predicting Stillbirth: A Systematic Review.","authors":"Qingyuan Li, Pan Li, Junyu Chen, Ruyu Ren, Ni Ren, Yinyin Xia","doi":"10.1007/s43032-024-01655-z","DOIUrl":"10.1007/s43032-024-01655-z","url":null,"abstract":"<p><p>Stillbirth is a major global issue, with over 5 million cases each year. The multifactorial nature of stillbirth makes it difficult to predict. Artificial intelligence (AI) and machine learning (ML) have the potential to enhance clinical decision-making and enable precise assessments. This study reviewed the literature on predictive ML models for stillbirth highlighting input characteristics, performance metrics, and validation. The PubMed, Cochrane, and Web of Science databases were searched for studies using AI to develop predictive models for stillbirth. Findings were analyzed qualitatively using narrative synthesis and graphics. Risk of bias and the applicability of the studies were assessed using PROBAST. Model design and performance were discussed. Eight studies involving 14,840,654 women with gestational ages ranging from 20 weeks to full term were included in the qualitative analysis. Most studies used neural networks, random forests, and logistic regression algorithms. The number of predictive features varied from 14 to 53. Only 50% of studies validated the models. Cross-validation was commonly employed, and only 25% of studies performed external validation. All studies reported area under the curve as a performance metric (range 0.54-0.9), and five studies reported sensitivity (range, 60- 90%) and specificity (range, 64 - 93.3%). A stacked ensemble model that analyzed 53 features performed better than other models (AUC = 0.9; sensitivity and specificity > 85%). Available ML models can attain a considerable degree of accuracy for prediction of stillbirth; however, these models require further development before they can be applied in a clinical setting.</p>","PeriodicalId":20920,"journal":{"name":"Reproductive Sciences","volume":" ","pages":"1388-1398"},"PeriodicalIF":2.6,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141793257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effect of Blastocyst Morphology and Developmental Rate on Euploidy and Live Birth Rates in PGT-A Cycles: A Retrospective Cohort Study. PGT-A周期中囊胚形态和发育率对整倍体和活产率的影响:一项回顾性队列研究。
IF 2.6 3区 医学
Reproductive Sciences Pub Date : 2025-05-01 Epub Date: 2025-02-21 DOI: 10.1007/s43032-025-01818-6
Xiaojiao Chen, Yong Fan, Hui Ji, Lin Zhou, Xun Wu, Yi Wei, Shanren Cao, Junqiang Zhang, Xiufeng Ling
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