IntroductionWe aimed to evaluate the site of placentation on the pregnancy outcomes of patients with placenta previa.MethodsThis retrospective study included 678 cases of placenta previa. Basic information and pregnancy outcome data were collected. Differences between the different placenta previa positions and pregnancy outcomes were compared using the chi-square and independent t tests. Logistic and multiple regression analyses were used to calculate the odds ratios (ORs) to determine the risk factors for PAS disorders and postpartum hemorrhage and evaluate the effect of placental attachment site on pregnancy outcomes.ResultsThere was no significant difference between the PAS disorders rate and the incidence of complete placenta previa depending on the type of placentation; however, placental attachment site influenced the pregnancy outcome. Placental attachment to the anterior wall was associated with shorter gestational age, low birth weight, lower Apgar score, higher prenatal bleeding rate, increased postpartum hemorrhage, longer duration of hospitalization, and higher blood transfusion and hysterectomy rates compared to cases with lateral/posterior wall placenta. Placental attachment at the incision site of a previous cesarean section significantly increased the incidence of complete placenta previa and PAS disorders compared with placental attachment at a site without incision, but did not significantly influence pregnancy outcomes. Placental attachment to the anterior wall was an independent risk factor for postpartum hemorrhage in patients with placenta previa. Placental attachment to a previous incision site was an independent risk factor for PAS disorders.ConclusionThe site of placental attachment in patients with placenta previa has an important influence on the pregnancy outcome. When the placenta is located on the anterior wall, clinicians should pay attention to the adverse pregnancy outcomes and the possibility of massive postpartum hemorrhage. In cases of placental attachment to the uterine incision site, physicians should be highly vigilant regarding the occurrence of PAS disorders.

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The primary objective of this study is to explore the influence of different screening strategies on the prevalence of thyroid dysfunction and the missed diagnosis during pregnancy. A total of 1889 pregnant women (13-27 weeks) were divided into high-risk and low-risk groups according to the backgrounds of them collected by questionnaire. We detected the prevalence of thyroid dysfunction in high-risk groups and low-risk pregnant women by normal reference range during the second trimester in our research. High-risk groups accounted for 10.69% of all the pregnant women in this study. Using targeted high-risk case screening strategy, misdiagnosis rate of pregnancy with hyperthyroidism, subclinical hyperthyroidism, pregnancy with hypothyroidism, subclinical hypothyroidism, low T4 syndrome and positive TPOAb were 87.5% (14 cases), 87.08% (155 cases), 87.08% (155 cases), 83.93% (47 cases), 89.47% (17 cases) and 88.35% (91 cases), respectively. Furthermore, there was no statistically significant difference between high-risk group and low-risk group in the prevalence of thyroid dysfunction. Therefore, we believe that universal screening to pregnant women can effectively reduce misdiagnosis rate of thyroid dysfunction. Further, we recommend universal screening for thyroid function in second trimester of pregnancy.

Cyclooxygenase-2 (COX-2) is regulated post-transcriptionally by the AU-rich element (ARE) in the 3'-untranslated region (UTR) of its mRNA. However, the mechanism of COX-2 induction in infertility has not been thoroughly elucidated to date. The aim of this study was to examine the association between COX-2 and fragile X-related protein 1 (FXR1) in trophoblasts. Using quantitative reverse transcription polymerase chain reaction, our results showed that FXR1 mRNA expression levels were significantly decreased in trophoblasts from recurrent miscarriage patients compared with healthy controls; conversely, COX-2 mRNA expression levels were increased in patient samples. We also observed that FXR1 was highly expressed in human placental villi during early pregnancy. Furthermore, we used western blotting and immunofluorescence to analyse the expression levels of FXR1 and COX-2 in HTR-8 cells that were treated with tumour necrosis factor α; we observed that the expression of COX-2 was clearly increased in HTR-8 cells treated with FXR1 small interfering RNA, whereas the expression of COX-2 was effectively decreased in HTR-8 cells with FXR1 overexpressed via a plasmid. Importantly, bioinformatics analysis identified FXR1 binding sites in the 3'-UTR region of COX-2 and firefly luciferase reporter assay analysis verified that FXR1 binds directly to the 3'-UTR region of COX-2. ELISA assays showed that overexpression of FXR1 enhanced vascular endothelial growth factor-A and interleukin-8 expression in HTR-8 cells, whereas conversely, knockdown of FXR1 effectively repressed these effects. In conclusion, the results of this study indicate that FXR1 is a novel COX-2 regulatory factor.

WGCNA is a potent systems biology approach that explains the connection of gene expression based on a microarray database, which facilitates the discovery of disease therapy targets or potential biomarkers. Preeclampsia is a kind of pregnancy-induced hypertension caused by complex factors. The disease’s pathophysiology, however, remains unknown. The focus of this research is to utilize WGCNA to identify susceptible modules and genes in the peripheral blood of preeclampsia patients. Obtain the whole gene expression data of GSE48424 preeclampsia patients and normal pregnant women from NCBI’s GEO database. WGCNA is used to construct a gene co-expression network by calculating correlation coefficients between modules and phenotypic traits, screening important modules, and filtering central genes. To identify hub genes, we performed functional enrichment analysis, pathway analysis, and protein-protein interaction (PPI) network construction on key genes in critical modules. Then, the genetic data file GSE149437 and clinical peripheral blood samples were used as a validation cohort to determine the diagnostic value of these key genes. Nine gene co-expression modules were constructed through WGCNA analysis. Among them, the blue module is significantly related to preeclampsia and is related to its clinical severity. Thirty genes have been discovered by using the intersection of the genes in the blue module and the DEGs genes as the hub genes. It was found that HDC, MS4A2, and SLC18A2 scored higher in the PPI network and were identified as hub genes. These three genes were also differentially expressed in peripheral blood validation samples. Based on the above three genes, we established the prediction model of peripheral blood markers of preeclampsia and drew the nomogram and calibration curve. The ROC curves were used in the training cohort GSE48424 and the validation cohort GSE149437 to verify the predictive value of the above model. Finally, it was confirmed in the collected clinical peripheral blood samples that MS4A2 was differentially expressed in the peripheral blood of early-onset and late-onset preeclampsia, which is of great significance. This study provides a new biomarker and prediction model for preeclampsia.

Carcinoma in situ (CIS) of the uterine cervix is a precursor to cervical carcinoma. However, hysterectomy can be avoided in patients who can be treated by cone biopsy. Previous studies have shown that imaging-based approaches allow for the noninvasive visualization of cervical cancer, and radiomics has high accuracy in classifying cancer and predicting treatment outcome for different cancer types. To develop a magnetic resonance (MR)-based radiomics model for identifying residual disease in patients with CIS after cervical conization. Patients who had CIS after conization and finally underwent hysterectomy were collected to comprise a database to establish an imaging model for predicting the residual status after conization. Then, patients who opted for uterine preservation were classified as high-risk or low-risk patients according to the model. The disease-free survival was compared between the different risk groups using the Kaplan–Meier curve. The model built with the Boruta features outperformed the random forest model. Further validation with patients with uterine preservation showed that the patients classified as high risk were more likely to have tumor recurrence/residual disease in the follow-up period. In conclusion, radiomics can be used to identify residual disease in patients with CIS after cervical conization and could have the potential to predict recurrence in patients who opt for uterine preservation.