BACKGROUND:Pregnancy is a critical period characterized by significant physiological and psychological changes, including mood symptoms and sleep disturbances. This study aims to investigate the prevalence of mood instability and insomnia during pregnancy, their associations, and their impact on neonatal outcomes. METHODS:This study was conducted with 751 pregnant women with varying gestational ages and socioeconomic backgrounds. Self-report measures were used to assess mood instability and insomnia during pregnancy. Neonatal outcomes, including preterm birth, low birth weight, and developmental delays, were collected from medical records and follow-up assessments within the first year postpartum. RESULTS:The prevalence of mood instability and insomnia during pregnancy was 45% and 30%, respectively. A significant association was found between mood instability and insomnia (p < 0.05). Logistic regression analysis indicated that both mood instability and insomnia were significantly associated with adverse neonatal outcomes, including preterm birth, low birth weight, and developmental delays (p < 0.05). CONCLUSION:This study highlights the importance of addressing mood instability and insomnia during pregnancy to improve neonatal outcomes. The findings underscore the need for comprehensive screening and interventions to support pregnant individuals' mental and physical health. The results contribute to the existing knowledge base and can inform future research and public health initiatives in this area.

Cervical insufficiency or sonographic short cervix is a major cause of preterm birth (PTB). The efficacy of two-stitch versus one-stitch cerclage remains controversial, with limited evidence from randomized controlled trial (RCT), especially stratified by indication. We conducted a single-centre, stratified, exploratory RCT at Fujian Maternal and Child Health Hospital, Fuzhou, China. Women with singleton pregnancies were enrolled into two parallel cohorts: a therapeutic cohort (ultrasound-indicated; cervical length ≤ 25 mm at 16–28 weeks) and an emergency cohort (physical examination-indicated; painless cervical dilatation with or without membrane exposure at 16–28 weeks). Within each cohort, participants were randomly assigned (1:1) to receive McDonald cerclage with either two-stitch or one-stitch. The primary outcome was spontaneous PTB < 34 weeks. RR with 95

Objective:To investigate prenatal factors associated with high-risk HIV exposure in neonates at the time of delivery, and to construct a nomogram prediction model for assessing the risk level of neonates' HIV exposure. Methods:This retrospective study included clinical data from 928 cases of HIV-exposed neonates. Participants were categorized into high and low HIV exposure risk groups according to their risk status at delivery. Sociodemographic factors, antenatal records, and antiretroviral therapy (ART) use during pregnancy were analyzed across exposure groups. Independent predictors of high neonatal HIV exposure were determined via multivariate logistic regression. Internal validation was performed using the bootstrap method, and model calibration was assessed using a calibration curve. Results:Among the 928 neonates born to HIV-positive women, 458 were categorized as high-risk and 470 as low-risk for HIV exposure. There were significant differences between the two groups in terms of sociodemographic data, prenatal care, and the use of antiviral drugs et al. Findings from the regression indicated that maternal ethnicity, maternal education level, HIV diagnosis before pregnancy, gestational age at first prenatal visit, and number of antenatal visits are independent predictors of high HIV exposure in neonates. Based on these variables, a nomogram model was constructed for assessing the risk level of neonates' HIV exposure. The result showed a C-index of 0.954 (95% CI:0.942-0.966), indicated relatively high discriminative ability. Internal validation using bootstrap sampling demonstrated good agreement between predicted and observed high-exposure probabilities, as shown by the calibration curve. Conclusion:The nomogram developed in this study offers a tool to predict the risk of HIV exposure in neonates born to HIV-positive mothers. Encouraging pregnant women at risk of HIV infection to get early screening, and guiding HIV-positive pregnant women to receive regular prenatal care can substantially reduce the risk of newborns being exposed to HIV during the perinatal period.

Background:Spontaneous preterm birth (sPTB) remains a major cause of neonatal morbidity and mortality. We used integrated metagenomics and untargeted metabolomics to identify vaginal microbial and host metabolic signatures associated with sPTB in Chinese women. Methods:Vaginal swabs (sPTB, n = 37; term, n = 62) and available maternal plasma were profiled by shotgun metagenomic sequencing and UHPLC-HRMS metabolomics. Group differences in microbial diversity/taxa and metabolite features were evaluated, followed by pathway enrichment and microbiome-metabolome correlation analyses. Results:Compared with term controls, sPTB was characterized by reduced Lactobacillus dominance, higher vaginal microbial alpha diversity (p < 0.05), and distinct community structure (PERMANOVA p < 0.001). Metabolomic profiles of plasma and vaginal fluid differentiated sPTB from term pregnancy and highlighted decreased pantothenic acid and increased 4-pyridoxic acid, together with lipid and amino-acid perturbations. Pantothenic acid showed good discrimination (AUC = 0.82), and a multi-metabolite model improved classification (AUROC = 0.9544). KEGG analysis implicated vitamin B6 metabolism, pantothenate/CoA biosynthesis, and glycerophospholipid metabolism. Microbiome-metabolome integration dentified exploratory an sPTB-associated pattern in which Lactobacillus (e.g., L. crispatus) was positively correlated with pantothenic acid, while dysbiosis-/pathogen-associated taxa (including C. trachomatis) correlated with 4-pyridoxic acid. Conclusion:sPTB in this Chinese cohort is associated with concurrent vaginal dysbiosis and systemic/local metabolic disturbances, supporting integrated microbiome-metabolite markers for risk stratification and potential preventive targets.

Cervical insufficiency is a significant cause of mid-trimester miscarriage and preterm birth, for which cervical cerclage is the standard treatment. However, some patients experience extreme preterm delivery even after undergoing a repeat cerclage following initial cerclage failure. This study aimed to investigate the optimal timing for repeat cerclage and to identify independent predictors of its failure. The sociodemographic characteristics and clinical data of 47 singleton pregnancies who underwent a repeat cerclage at Fujian Maternity and Child Health Hospital from October 2018 to May 2025 were retrospectively analyzed. Participants were divided into a failure group (delivery < 28 weeks, n = 17) and a success group (delivery ≥ 28 weeks, n = 30). Univariate and multivariate logistic regression analyses were used to identify independent risk factors. Receiver operating characteristic (ROC) curves were employed to determine optimal cut-off values for key continuous variables. Moreover, the BP neural network was used to perform a secondary validation of the independent risk factors. Multivariate analysis using Firth’s penalized logistic regression identified that cervical dilation before repeat cerclage (aOR = 3.098, 95

The association of inflammatory markers, including the systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR), with pregnancy outcomes in twin pregnancies following cervical cerclage remains unclear. This study aimed to evaluate the predictive value of these markers for spontaneous preterm birth before 28 weeks of gestation in this high-risk population. This retrospective study included 111 twin pregnancies undergoing transvaginal cervical cerclage for cervical shortening or dilation. Inflammatory markers (SII, SIRI, NLR, and PLR) were calculated from maternal peripheral blood collected before the procedure. The primary outcome was cerclage failure, defined as spontaneous preterm birth before 28 weeks of gestation. The area under the receiver operating characteristic curve (AUC) was used to assess predictive performance, and modified Poisson regression was applied to evaluate the association between these markers and cerclage failure. Cerclage failure occurred in 13 pregnancies (11.7

This study aimed to analyze the causative factors of histological chorioamnionitis (HCA) in parturients with intrapartum fever, assess the implications for maternal and neonatal outcomes, and develop a predictive model to enhance clinical decision-making. A retrospective analysis was performed on 408 parturients with intrapartum fever at Fujian Provincial Maternal and Child Health Hospital from January 2022 to June 2023. Based on post-delivery placental pathology, the data were categorized into HCA (249 cases) and non-HCA groups (159 cases). Variables were first screened using univariate analysis, followed by multivariate logistic regression to identify high-risk factors and develop a predictive model. The model's accuracy was validated using Bootstrap resampling and receiver operating characteristic (ROC) curve analysis. Significant differences were found between the HCA and non-HCA groups in terms of duration of premature rupture of membranes (≥24 hours), peak body temperature during labor (≥38°C), and levels of white blood cell count and C-reactive protein (CRP) at the onset of fever (p < 0.05). The predictive model showed strong accuracy, with an ROC area under the curve of 0.715. Intrapartum fever linked with HCA markedly exacerbates maternal and neonatal outcomes. Key risk factors for HCA include a peak labor temperature ≥38°C, CRP levels at fever onset, and grade III contamination of amniotic fluid. The developed model accurately predicts the HCA risk, enabling enhanced clinical interventions.

Cervical cerclage is widely used to reduce the risk of preterm birth in pregnant women. The effects of cervical cerclage on the vaginal microbiota and its metabolites are not fully clear. The purpose of this study was to explore the influence of cervical cerclage on the vaginal microbiota and its metabolites. Our results showed that the clinical characteristics [white blood cell (WBC), neutrophil, lymphocyte, monocytes, platelet, NLR, PLR, SII, SIRI, and C-reactive protein (CRP)] and α-diversity (Observed, Shannon, Chao1, and Simpson indexes) of the vaginal microbiota were not altered during pregnancy after cervical cerclage. 16S rRNA gene sequencing found that the relative abundance of Muribaculaceae and Blautia was significantly increased in the post-cerclage group compared with the pre-cerclage group, but the relative abundance of Sneathia was significantly reduced. In addition, the volcano plot revealed that a total of 19 metabolites [including alpha-hydroxyalprazolam, LPE (18:1(9Z)/0:0), PS(16:0/15:0), N-acetylhistamine, carnitine, pseudouridine, and allopregnanolone] were significantly changed during pregnancy after cervical cerclage. Pathway analysis based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database showed that the changes in the vaginal microbiota and its metabolites mainly involved purine metabolism and amino acid metabolism. The alteration in the vaginal microbiota and its metabolites induced by cervical cerclage is associated with the therapeutic efficacy of cervical cerclage. Further studies are needed to explore how the vaginal microbiota affects the outcomes of pregnancy.

To investigate the association between maternal liver enzyme concentrations during pregnancy and the risk of abnormal birth weight. This is a prospective birth cohort study querying the pregnant women from Fujian Maternal and Child Health Hospital, affiliated with Fujian Medical University, China. Liver enzyme levels, including gamma-glutamyl transferase (GGT), alanine aminotransferase (ALT), and aspartate aminotransferase (AST), were measured in the first and third trimesters, and changes in liver enzyme levels were calculated based on these measurements. The outcomes were birth weight, small for gestational age (SGA), large for gestational age (LGA), low birth weight (LBW), and macrosomia. The study analyzed 19,003 singleton pregnancies with live births. The mean age of the pregnant individuals was 30.3 ± 3.9 years, 18,594 patients (97.8

Preterm birth (PTB) is a major cause of infant morbidity and mortality. The aim of this study was to investigate the effect of vaginal microbiota and metabolites on the outcome of pregnant women. In this study, a total of 127 pregnant women provided written informed consent prior to enrollment in accordance with the approved institutional guidelines, but only 45 pregnancies met the experimental requirements, and then blood and cervical vaginal fluid (CVF) samples were collected before delivery (at the second week after cervical cerclage). Pregnant women with PTB exhibited high white blood cell and neutrophil contents, high neutrophil-to-lymphocyte ratio (NLR), and high systemic inflammation response index (SIRI) in the blood. Vaginal microbiome revealed that the proportion of beneficial bacteria (including Lactobacillus, [Ruminococcus] gnavus group, and Megamonas) significantly decreased in the PTB group, and the proportion of harmful bacteria (including Desulfovibrionaceae, Helicobacter, and Gardnerella) significantly increased, which is strongly related to the biochemical parameters of blood (white blood cells, neutrophils, NLR, and SIRI). In addition, vaginal metabolomics-based liquid chromatography–Orbitrap–tandem mass spectrometry (LC-Orbitrap-MS/MS) found that the alteration in vaginal metabolites in pregnant women with PTB is involved in starch and sucrose metabolism; arginine and praline metabolism; galactose metabolism; purine metabolism; arginine metabolism; tryptophan metabolism and N-glycan biosynthesis; cysteine and methionine metabolism; taurine and hypotaurine metabolism; amino acid metabolism; propanoate metabolism; valine, leucine, and isoleucine biosynthesis; glycine, serine, and threonine metabolism; and steroid hormone biosynthesis. These results elaborated that distinct vaginal microbiome and metabolome profiles in women with preterm delivery following cervical cerclage provide valuable information for establishing the prediction models for PTB.

Disruptions in vaginal microbiota and metabolites during pregnancy may be the most important risk factor for preterm delivery, thus the difference in vaginal microbiota and metabolites between women who subsequently delivered at term and who eventually experienced preterm birth. In this study, 63 participants were enrolled before the cervical cerclage surgery (namely pre-cerclage), comprising women who subsequently delivered at term and who eventually experienced preterm birth. The cervical-vaginal fluid (CVF) was collected two days prior to the cervical cerclage surgery. Compared with the term birth groups (PrTG), the proportion of beneficial bacteria (Lactobacillus, Prevotella, Trichococcus, Neisseria and Gemella) in the preterm birth group (PrPG) were significantly reduced (p < 0.05), while the proportion of harmful bacteria (Thauera, Ochrobactrum, Gardnerella, Massilia, Phyllobacteriaceae and Atopobium) were significantly increased (p < 0.05). In addition, vaginal metabolomics-based LC-Orbitrap-MS/MS revealed that the contents of 2-Piperidone, Melphalan, N-acetylputrescine, Obatoclax, Eurostoside, Pregnanediol 3-O-glucuronide, O-Phospho-L-serine, 1-Kestose and N-arachidonylglycine were significantly decreased in the PrPG group compared with the PrTG group, while Acenocoumarol, Isopyrazam, Pentosidine, hexose, 7-Hydroxymitragynine, PE, Tamoxifen and 1-Deoxynojirimycin contents were significantly increased. These results suggest that specific bacterial species and metabolites may serve as potential biomarkers for preterm birth prediction, and approve the theoretical basis for the intervention of preterm birth.

Preterm birth is a major cause of perinatal morbidity and mortality. The disruption of vaginal microbiota in pregnant women is the most significant risk factor for preterm delivery. In this study, 65 pregnant women were enrolled, of which 29 were women with term births and 36 were women with preterm births, and were then categorized based on gestational age at delivery. The results showed that the α-diversity (ACE, Chao1, Simpson, and Shannon indices) of the vaginal microbiota in the term birth group (TG) was significantly higher than that in the preterm birth group (PG). The relative abundance of beneficial bacteria (e.g., Lactobacillus) was significantly reduced in the PG compared to the TG, while the relative abundance of harmful bacteria (e.g., Gardnerella, Atopobium, Ralstonia, and Sneathia) was significantly increased. A prediction model for gestational age at delivery was established based on key microbial phylotypes, and this model was further verified using clinical samples. Statistical analysis revealed that the prediction model utilizing Methyloversatilis, Atopobium, Ralstonia, Sneathia, Brevundimonas, Gardnerella, Acinetobacter, and Peptostreptococcus had higher accuracy. These results suggest that certain bacteria could serve as prospective predictors for preterm birth and provide a theoretical basis for the treatment of preterm birth.

OBJECTIVES:To analyze pregnancy outcomes and factors influencing early-onset intrahepatic cholestasis of pregnancy (ICP), offering insights to improve the management, diagnosis, and treatment of ICP during pregnancy. METHODS:We categorized 127 pregnant women with ICP into two groups based on a gestational age cutoff of 28 weeks. The analysis centered on biochemical markers, pregnancy complications, and outcomes to identify factors influencing early-onset ICP. RESULTS:We found that biochemical markers including alanine aminotransferase, aspartate aminotransferase, gamma-glutamyl transferase (GGT), alkaline phosphatase, total bilirubin, direct bilirubin (DBIL), indirect bilirubin, and cholesterol were significantly lower in early-onset ICP compared to late-onset ICP. Importantly, premature birth rates were higher in the early-onset ICP group. Through univariate and multivariate logistic regression analyses of these biochemical markers, GGT and DBIL emerged as significant predictive factors (OR=0.84 and 0.54). CONCLUSIONS:Early-onset ICP is characterized by its early onset, prolonged duration, and a higher incidence of premature births compared to late-onset ICP, leading to adverse perinatal outcomes. This research underscores the protective role of GGT and DBIL in early-onset ICP.

Objective: To investigate dysbiosis of the vaginal microbiota related to increased risk of preterm premature rupture of fetal membrane (PPROM) and chorioamnionitis in singleton gestations with ultrasound-indicated cerclage. Design: Retrospective observational study. Setting: Fujian Maternity and Child Health Hospital. Population: 44 singleton gestations with ultrasound-indicated cerclage, including 13 cases of PPROM and 31 cases of normal-term delivery. Methods: Composition of the vaginal microbiota was assessed prior to cervical cerclage at 18–24 weeks of gestation, using MiSeq-based 16S rRNA gene sequencing. Main Outcome Measures: To characterize the vaginal microbial profile of women who later experienced PPROM and chorioamnionitis. Results: Furthermore, the vaginal microbiota of women who later experienced PPROM was relatively enriched with Streptococcus anginosus and Prevotella timonensis (P=0.042, P=0.032, respectively), while that of women who later experienced normal-term delivery was relatively enriched with Lactobacillus. Further, enrichment for Prevotella was noted in patients diagnosed with chorioamnionitis in the PPROM group (6 of 13, 53.8%), which was absent in women with normal histology in the PPROM group (P=0.012). Conclusions: Together, these results indicate that dysbiosis of the vaginal microbiota is a risk element for subsequent PPROM and chorioamnionitis in singleton gestations with ultrasound-indicated cerclage. These findings may contribute to the development of methods to identify pregnancies at high risk for cerclage failure following PPROM. Funding: This work was supported by a grant from the Fujian Maternity and Child Health Hospital Innovation Project (YCXZ 18-21). Keywords: Vaginal microbiota, PPROM, chorioamnionitis, ultrasound-indicated cerclage, Prevotella.

Objective: Previous studies have indicated that there is an association between cervical cerclage and type of suture material. However, it is still unclear which suture material can provide the greatest benefit to patients who have undergone cerclage. This study investigated the effect of two different suture materials (Mersilene tape vs braided suture) used for transvaginal cervical cerclage placement on maternal outcomes of women with cervical insufficiency. Methods: In this retrospective case-control study, 170 women who underwent history-, ultrasound-, or physical examination-indicated transvaginal cervical cerclage were categorized according to suture materials used for cerclage: a total of 96 received Mersilene tape and 74 received braided suture. Study participants received a transvaginal cervical cerclage before 28 weeks and were followed up until delivery to assess pregnancy and neonatal outcomes. The primary outcome was gestational age at delivery. Secondary outcomes included preterm premature rupture of membranes (PPROM), premature rupture of membranes (PROM), chorioamnionitis, neonatal survival rate, and neonatal morbidity. Results: Out of 170 eligible women, 74 (43.5%) received braided suture while 96 (56.5%) received Mersilene tape. Baseline characteristics were similar between the two groups. The group that received braided suture had a lower incidence of gestational age at delivery <37 weeks (29.2% vs 54.2%, P = 0.046), PPROM (9.5% vs 21.9%, P = 0.029) and PROM (17.6% vs 32.3%, P = 0.028) compared to the group that received Mersilene tape. However, there were no significant differences between the two groups in average gestational age at delivery, the rate of gestational age at delivery <24, <28, <32, and < 34 weeks, chorioamnionitis, and neonatal survival rate, as well as neonatal morbidity. Conclusion: Compared to Mersilene tape, the utilization of braided suture has been significantly associated with a reduction in the incidence of gestational age at delivery <37 weeks, as well as a decreased risk of PPROM and PROM. However, the use of braided sutures did not result in discernible differences in the rates of chorioamnionitis or adverse neonatal outcomes.

Prior research has demonstrated that nutrition plays a crucial role in the establishment and maturation of the reproductive lifetime. Although the specific dietary components involved in preventing or postponing the reproductive lifespan are still unknown, a healthy diet can affect the reproductive lifespan. Here, the study aimed to explore the relationship between reproductive lifespan and diet quality by utilizing the Healthy Eating Index-2015 (HEI-2015). In this study, a total of 2761 postmenopausal women were selected from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2016. Diet quality was determined using HEI-2015 based on two 24-hour dietary recalls. Reproductive lifespan was defined as the number of years between self-reported age at menarche and menopause. Weighted linear regression and eXtreme Gradient Boosting (XGBoost) models were used to analyze the relationship between HEI-2015 and reproductive lifespan. Subsequently, the impact of various components of HEI-2015 on reproductive lifespan was assessed through weighted quantile sum (WQS) regression models. Among 2761 postmenopausal women, the mean age was 63.7 years. 41.5

Objective: To investigate the risk factors for premature rupture of membranes (PROM) and preterm birth in pregnant women following cervical conization. A nomogram model was developed and validated to predict the occurrence of PROM and preterm birth in this population. Methods: A total of 100 pregnant women who had undergone cervical conization between January 2014 and December 2023 were included. The participants were divided into two groups: 52 in the PROM group and 48 in the non-PROM group. Additionally, 43 cases were in the preterm birth group, and 57 were in the full-term group. Maternal age, body mass index (BMI) during pregnancy, and the conization method were recorded. A nomogram model was constructed to predict PROM and preterm birth, with the predictive performance evaluated using the area under the ROC curve (AUC), C-index, and decision curve analysis (DCA). Results: Univariate and multivariate regression analyses identified pre-pregnancy obesity, advanced maternal age, time after conization, and second-trimester cervical length as significant risk factors for PROM and preterm birth. These factors were incorporated into a clinical nomogram. Calibration curves demonstrated excellent internal and external accuracy for the model. The AUC for the nomogram was 0.8746. DCA showed the clinical utility of the model when the threshold probability ranged from 20% to 60%. Conclusion: Pre-pregnancy obesity, advanced maternal age, time since conization (<12 months), and second-trimester cervical length (<25 mm) were identified as independent risk factors for predicting PROM and preterm birth in pregnant women after cervical conization.

Objectives: To identify the factors influencing spontaneous preterm birth (SPTB) and develop a prediction model for clinical practice. Methods: This retrospective study included a total of 130 pregnant women with spontaneous preterm birth or full-term delivery at Fujian Maternity and Child Health Hospital between January 2020 and December 2023. The SPTB group consisted of 50 women with spontaneous preterm birth, while the full-term group included 70 women with full-term deliveries. Logistic regression analysis was performed to explore the factors associated with clinical prognosis, and a nomogram prediction model for SPTB risk was constructed and validated. Results: Multivariate logistic regression analysis identified multiple pregnancies (95% CI: 1.415-8.926, P=0.006), abnormal fetal position (95% CI: 1.124-2.331, P=0.008), gestational diabetes (95% CI: 4.918-19.164, P=0.002), mode of conception (95% CI: 1.765-4.285,P=0.002), lower genital tract infection (95% CI: 1.076-2.867, P=0.032), and second trimester cervical length (95% CI: 1.071-2.991, P=0.031) as independent risk factors of SPTB. Using these six variables, a nomogram was developed to predict the incidence of SPTB, with an AUC value of 0.833 (95% CI: 0.665-0.847), demonstrating acceptable agreement between predicted and observed outcomes. Decision curve analysis (DCA) showed a good positive net benefit of the model. Conclusions: Multiple pregnancies, abnormal fetal position, gestational diabetes, mode of conception, lower genital tract infection, and second-trimester cervical length are independent risk factors for the onset of SPTB. In addition, the nomogram prediction model demonstrated good predictive performance, high accuracy, and clinical applicability.

This study aimed to study the correlation between preeclampsia (PE) and lncRNA nuclear paraspeckle assembly transcript 1 (NEAT1), and to examine the molecular mechanisms behind the development of PE. 30 PE and 30 normal pregnant women placental samples were assessed the levels of NEAT1 and miR-217 by quantitative real-time PCR (qRT-PCR). The trophoblast cell line HTR8/SVneo was used for silencing NEAT1 or miR-217 inhibitor in the absence or presence of an inhibitor and H2O2. Cell counting Kit 8 (CCK-8), flow cytometry, and Transwell were used to detect cell proliferation, apoptosis, migration, and invasion. Luciferase reporter gene assay was utilized to verify the binding between miR-217 and Wnt family member 3 (Wnt3), and between the miR-217 and NEAT1. Proteins related to the Wnt/β-catenin signaling pathway were detected using western blotting. The PE group exhibited a significantly downregulated expression of miR-217 and a significantly upregulated expression of NEAT1. NEAT1 targeted miR-217, and Wnt is a miR-217 target gene. siRNA-NEAT1 inhibited the apoptosis of trophoblast cells, but promoted their invasion, migration, and proliferation. MiR-217 inhibitor could partially reverse the effects of siRNA-NEAT1. The expression of the Wnt/β-catenin signaling pathway-related proteins, WNT signaling pathway inhibitor 1 (DKK1), cyclin-D1 and β-catenin, was significantly increased after siRNA-NEAT1. NEAT1 could reduce trophoblast cell invasion and migration by suppressing miR-217/Wnt signaling pathway, leading to PE.