Identification of hub genes, diagnostic model, and immune infiltration in preeclampsia by integrated bioinformatics analysis and machine learning.

Purpose: This study aimed to identify novel biomarkers for preeclampsia (PE) diagnosis by integrating Weighted Gene Co-expression Network Analysis (WGCNA) with machine learning techniques.

Patients And Methods: We obtained the PE dataset GSE25906 from the gene expression omnibus (GEO) database. Analysis of differentially expressed genes (DEGs) and module genes with Limma and Weighted Gene Co-expression Network analysis (WGCNA).

Tandem mass tag-based proteomics analysis reveals the mechanism underlying the interleukin-6-mediated regulation of trophoblast function in preeclampsia.

Objective: We investigated the mechanism whereby interleukin-6 (IL-6), an important inflammatory marker, influences trophoblast function during preeclampsia.

Methods: Quantitative PCR and enzyme-linked immunosorbent assay were used to determine the IL-6 mRNA and protein levels, respectively. CCK8 and transwell assays were used to detect how IL-6 affects the proliferation and invasion abilities of HTR-8/SVneo cells respectively; the tube-forming assay was conducted to explore how IL-6 affects the angiogenesis ability of human umbilical vein endothelial cells (HUVECs) after their co-culture with HTR-8/SVneo cells.

LncRNA-NEAT1 blocks the Wnt/β-catenin signaling pathway by targeting miR-217 to inhibit trophoblast cell migration and invasion.

Objective: 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.

Methods: 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 HO.

Effectiveness of post-mastectomy adjuvant chemotherapy for the treatment of patients with prognostic stage IB breast cancer: A SEER-based study.

Background: Adjuvant chemotherapy (AC) is an important, effective treatment for breast cancer. This study evaluates the effectiveness of post-mastectomy AC in treating patients with prognostic stage IB breast cancer.

Method: We conducted a retrospective cohort-based study using Surveillance, Epidemiology, and End-Results database.

Correlation between serum ferritin in early pregnancy and hypertensive disorders in pregnancy.

Objective: To explore the correlation between serum ferritin (SF) in early pregnancy and the risk of hypertensive disorders in pregnancy (HDP).

Method: A retrospective cohort study was conducted on 43,421 pregnant women with singleton pregnancies who underwent antenatal checkups at Fujian Provincial Maternal and Child Health Hospital from January 2018 to December 2020. Based on pregnancy records, women were classified as non-hypertensive, having gestational hypertension, preeclampsia and preeclampsia with severe features according to the degree of the disease.

Analysis of relative factors and prediction model for optimal ovarian response with gonadotropin-releasing hormone antagonist protocol.

Objective: To explore the relative factors for best ovarian response in patients undergoing assisted reproductive technology with the gonadotropin-releasing hormone antagonist protocol and to establish a nomogram prediction model of ovarian response.

Methods: A retrospective cohort analysis of the clinical data of 1,944 patients who received assisted reproductive treatment in the Center for Reproductive Medicine of Fujian Maternity and Child Health Hospital from April 1, 2018, to June 30, 2020. According to the number of oocytes obtained, there were 659 cases in the low ovarian response group (no more than five oocytes were retrieved), 920 cases in the normal ovarian response group (the number of retrieved oocytes was >5 but ≤18), and 365 cases in the high ovarian response group (>18 oocytes retrieved).

A retrospective analysis of emergency hysterectomy intervention strategy in obstetrics.

Objectives: To investigate the indications of obstetric emergency hysterectomy and analyze the clinical effects of subtotal hysterectomy and total hysterectomy.

Methods: We included 247 hospitalized women who had undergone abdominal hysterectomy due to obstetric reasons in Fujian Province Maternity and Child Health Hospital (a provincial class-A hospital) and Ningde People's Hospital (a primary Class-B hospital) between January 2002 and December 2018. We identified surgical indications and clinical characteristics of the patients.

A New Model for the Predicting the Risk of Preeclampsia in Twin Pregnancy.

Objective: We aimed to develop an effective nomogram model for predicting the risk of preeclampsia in twin pregnancies.

Methods: The study was a retrospective cohort study of women pregnant with twins who attended antenatal care and labored between January 2015 and December 2020 at the Fujian Maternity and Child Health Hospital, China. We extracted maternal demographic data and clinical characteristics.

Pregnancy complicated with hepatitis B virus infection and preterm birth: a retrospective cohort study.

Background: We aimed to investigate whether maternal chronic hepatitis B virus (HBV) infection affects preterm birth (PTB) in pregnant women.

Methods: We retrospectively analyzed HBV-infected and non-infected pregnant women attending antenatal care at Fujian Maternity and Child Health Hospital, Fuzhou, China between January 1, 2016 to December 31, 2018. Participants were divided into HBV infection (n = 1302) and control (n = 12,813) groups.

Prediction of vaginal birth after cesarean delivery in Southeast China: a retrospective cohort study.

Background: We aimed to develop and validate a nomogram for effective prediction of vaginal birth after cesarean (VBAC) and guide future clinical application.

Methods: We retrospectively analyzed data from hospitalized pregnant women who underwent trial of labor after cesarean (TOLAC), at the Fujian Provincial Maternity and Children's Hospital, between October 2015 and October 2017. Briefly, we included singleton pregnant women, at a gestational age above 37 weeks who underwent a primary cesarean section, in the study.

Prepregnancy body mass indexes are associated with perinatal outcomes in females with preeclampsia.

The present study aimed to determine the clinical characteristics and perinatal outcomes of females with severe preeclampsia according to their pre-pregnancy body mass index (BMI). Data from 233 patients with severe preeclampsia were reviewed from the Inpatient Obstetrics Department. The data were divided into 3 groups according to the patients' pre-pregnancy BMI: Normal (BMI of 18-25 kg/m; n=134); underweight (BMI <18 kg/m; n=15); and overweight and obese (BMI >25 kg/m; n=84).

Blood Coagulation Indices in Twin Pregnancy Complicated with Preeclampsia.

Objective: To determine the regular changes of blood coagulation indices in twin pregnancy complicated with preeclampsia (PE).

Study Design: Descriptive study.

Place And Duration Of Study: Fujian Provincial Maternity and Children Hospital from January 2014 to December 2017.

Platelet count and mean platelet volume predict atypical pre-eclampsia.

Objective: We aimed to analyze the role of platelet count (PC), mean platelet volume (MPV), and ratio of PC to MPV (PC/MPV) in predicting and/or diagnosing atypical pre-eclampsia (PE).

Study Design: We performed a retrospective case-control analysis of these platelet parameters in healthy pregnant women with normal blood pressure (control) and the changes that occurred in patients with atypical PE and PE.

Main Outcome Measures: We performed statistical analysis to evaluate the prognostic and predictive significance of PC, MPV, and PC/MPV and the combined effects of these parameters in the parturient population (N = 300) composed of 100 controls, 100 atypical PE cases, and 100 PE cases.

Gestational weight management and pregnancy outcomes among women of advanced maternal age.

In this study, we assessed the effects of pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on the pregnancy outcomes of women of advanced age using a back-propagation (BP) artificial neural network. We conducted a retrospective analysis on postpartum and hospital delivery data from 1,015 women of advanced maternal age (AMA) hospitalized at the Fujian Provincial Maternity and Children's Hospital from January to June, 2017. Pre-pregnancy overweight was found to increase the incidence of gestational diabetes mellitus (GDM), hypertensive disorders complicating pregnancy (HDCP) and fetal macrosomia.