Placental and maternal serum inhibin A in patients with preeclampsia and small-for-gestational-age

Association of serum inhibin a with pre-eclampsia: An observational cohort study with propensity score matching

OBJECTIVE

To assess whether serum inhibin A at 14-20 weeks of gestation is associated with the occurrence of pre-eclampsia.

METHODS

A retrospective cohort study using propensity score matching was conducted on 11 682 singleton pregnant women with established deliveries at the Obstetrics and Gynecology Hospital of Fudan University between January 2017 and July 2019. We investigated serum inhibin A levels at 14-20 weeks of gestation and calculated the relative risk between inhibin A and pre-eclampsia by multifactorial logistic regression analysis. Smoothed, fitted curves were used to observe the effect of inhibin A in relation to the occurrence of pre-eclampsia.

RESULTS

The risk of pre-eclampsia occurrence increased with elevated serum inhibin A. After full adjustment for confounders, the risk ratio for pre-eclampsia in the group of pregnant women with high inhibin A was 2.92 (95% confidence interval [CI] 2.08-4.11) compared with those with normal inhibin A. The results of sensitivity analysis suggested a consistent effect of inhibin A on the risk of pre-eclampsia in different populations.

CONCLUSION

Elevated serum inhibin A at 14-20 weeks of gestation is associated with pre-eclampsia and may provide an early warning signal for pregnancy outcomes associated with pre-eclampsia.

Establishment of a placental lncRNA-mRNA expression network for early-onset preeclampsia

BACKGROUND

This study aimed to establish a placental long non-coding RNA (lncRNA)-mRNA expression network for early-onset preeclampsia (early-onset PE).

METHODS

The RNA sequencing data of the GSE14821 dataset were acquired. Several crucial lncRNAs and mRNAs were exerted based on the differential expression analysis of lncRNA and mRNA. By analyzing the differentially expressed lncRNA and mRNA, we constructed a regulatory network to explore the mechanism of the lncRNA in early onset preeclampsia.

RESULTS

A total of 4436 differentially expressed lncRNAs (DElncRNAs) were identified in early-onset PE placenta samples compared with control placenta samples. Pearson correlation analysis revealed significant correlations between 3659 DElncRNAs and 372 DEmRNAs. KEGG analysis showed that the DEmRNAs were enriched in cytokine-cytokine receptor and hypoxia-inducible factor (HIF)-1 pathways. Several well-known early-onset PE-related mRNAs, such as vascular endothelial growth factor A (VEGFA) and VEGF receptor 1 (FLT1), were involved in the two pathways. Weighted gene co-expression network analysis and cis-regulatory analysis further suggested the involvement of the two pathways and potential DElncRNA-DEmRNA interactions in early-onset PE. Moreover, the upregulation of representative DElncRNAs, such as RP11-211G3.3 and RP11-65J21.3, and DEmRNAs, such as VEGFA and FLT1, were validated in clinical placenta samples from patients with early-onset PE by quantitative reverse transcription PCR. Importantly, overexpression of RP11-65J21.3 significantly promoted the proliferation of HTR-8 trophoblast cells at 72 h after transfection.

CONCLUSIONS

In conclusion, we identified placental DElncRNAs of early-onset PE and established a DElncRNA-DEmRNA network that was closely related to the cytokine-cytokine receptor and HIF-1 pathways. Our results provide potential diagnostic markers and therapeutic targets for early-onset PE management.

Development and validation of a nomogram for the early prediction of preeclampsia in pregnant Chinese women

To make early predictions of preeclampsia before diagnosis, we developed and validated a new nomogram for the early prediction of preeclampsia in pregnant Chinese women. A stepwise regression model was used for feature selection. Multivariable logistic regression analysis was used to develop the prediction model. We incorporated BMI, blood pressure, uterine artery ultrasound parameters, and serological indicator risk factors, and this was presented with a nomogram. The performance of the nomogram was assessed with respect to its calibration, discrimination, and clinical usefulness. Internal validation was assessed. The signature, which consisted of 11 selected features, was associated with preeclampsia status (P < 0.1) for the development dataset. Predictors contained in the individualized prediction nomogram included BMI, blood pressure, uterine artery ultrasound parameters, and serological indicator levels. The model showed good discrimination, with an area under the ROC curve of 0.8563 (95% CI: 0.8364-0.8761) and good calibration. The nomogram still had good discrimination and good calibration when applied to the validation dataset (area under ROC curve of 0.8324, 95% CI: 0.7873-0.8775). Decision curve analysis demonstrated that the nomogram was clinically useful. The nomogram presented in this study incorporates BMI, blood pressure, uterine artery ultrasound parameters, and serological indicators and can be conveniently used to facilitate the individualized prediction of preeclampsia.

Serum markers in quadruple screening associated with adverse pregnancy outcomes: A case-control study in China

BACKGROUND

We assessed whether the results of quadruple screening during pregnancy are associated with an increased risk of adverse pregnancy outcomes.

METHODS

We measured serum marker concentrations using quadruple screening in the second trimester of pregnancy and analyzed the relationship between adverse perinatal outcomes and serum markers in 12,124 pregnant women. A multivariate logistic regression analysis was used to evaluate the relative risk of quadruple screening and adverse pregnancy outcomes.

RESULTS

Compared with the control group, increased concentrations of alpha-fetoprotein (AFP) and inhibin A were risk factors for preeclampsia and preterm delivery; low concentrations of unconjugated estriol and high inhibin A were risk factors for pregnancy hypertension; an increased concentration of human chorionic gonadotropin (hCG) was a risk factor for gestational diabetes mellitus; high AFP, low hCG, and high inhibin A were risk factors for low birth weight; and low AFP and high hCG were risk factors for macrosomia.

CONCLUSIONS

Quadruple screening in the second trimester of pregnancy can provide early warning signs for maternal and fetal adverse pregnancy outcomes.

Are serum levels of inhibin A in second trimester predictors of adverse pregnancy outcome?

Objective

During pregnancy, inhibin A is mainly derived from the placenta and regulates the implantation and differentiation of embryos. Our aim was to assess whether second trimester serum inhibin A was associated with an increased risk of adverse pregnancy outcomes.

Methods

We investigated the serum levels of Inhibin A during the second trimester in pregnancy, and analyzed associations between the Inhibin A and the risk of adverse pregnancy outcome. 12,124 pregnant women were enrolled in this study between January 2017 and July 2019 at the Obstetrics & Gynecology Hospital of Fudan University. Multivariate logistic regression analysis was conducted to estimate the relative risk between Inhibin A and adverse pregnancy outcome.

Results

Compared with the group without adverse pregnancy outcome, during the second trimester of pregnancy, age and Inhibin A were risk factors for pre-eclampsia, gestational diabetes mellitus and preterm delivery; Inhibin A was risk factors for low birth weight. Gravidity and Inhibin A were risk factors for macrosomia; while parity was a protective factor against pre-eclampsia, gestational hypertension and low birth weight.

Conclusion

Elevated Inhibin A levels in pregnancy are significantly associated with pre-eclampsia, GDM, macrosomia, low birth weight and preterm delivery.

Performance of third-trimester combined screening model for prediction of adverse perinatal outcome

OBJECTIVE

To explore the potential value of third-trimester combined screening for the prediction of adverse perinatal outcome (APO) in the general population and among small-for-gestational-age (SGA) fetuses.

METHODS

This was a nested case-control study within a prospective cohort of 1590 singleton gestations undergoing third-trimester evaluation (32 + 0 to 36 + 6 weeks' gestation). Maternal baseline characteristics, mean arterial blood pressure, fetoplacental ultrasound and circulating biochemical markers (placental growth factor (PlGF), lipocalin-2, unconjugated estriol and inhibin A) were assessed in all women who subsequently had an APO (n = 148) and in a control group without perinatal complications (n = 902). APO was defined as the occurrence of stillbirth, umbilical artery cord blood pH < 7.15, 5-min Apgar score < 7 or emergency operative delivery for fetal distress. Logistic regression models were developed for the prediction of APO in the general population and among SGA cases (defined as customized birth weight < 10^th centile).

RESULTS

The prevalence of APO was 9.3% in the general population and 27.4% among SGA cases. In the general population, a combined screening model including a-priori risk (maternal characteristics), estimated fetal weight (EFW) centile, umbilical artery pulsatility index (UA-PI), estriol and PlGF achieved a detection rate for APO of 26% (area under receiver-operating characteristics curve (AUC), 0.59 (95% CI, 0.54-0.65)), at a 10% false-positive rate (FPR). Among SGA cases, a model including a-priori risk, EFW centile, UA-PI, cerebroplacental ratio, estriol and PlGF predicted 62% of APO (AUC, 0.86 (95% CI, 0.80-0.92)) at a FPR of 10%.

CONCLUSIONS

The use of fetal ultrasound and maternal biochemical markers at 32-36 weeks provides a poor prediction of APO in the general population. Although it remains limited, the performance of the screening model is improved when applied to fetuses with suboptimal fetal growth. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

Differentially expressed genes in the pre-eclamptic placenta: a systematic review and meta-analysis

Objective

To systematically review the literature on human gene expression data of placental tissue in pre-eclampsia and to characterize a meta-signature of differentially expressed genes in order to identify novel putative diagnostic markers.

Data Sources

Medline through 11 February 2011 using MeSH terms and keywords related to placenta, gene expression and gene expression arrays; GEO database using the term “placent*”; and reference lists of eligible primary studies, without constraints.

Methods

From 1068 studies retrieved from the search, we included original publications that had performed gene expression array analyses of placental tissue in the third trimester and that reported on differentially expressed genes in pre-eclampsia versus normotensive controls. Two reviewers independently identified eligible studies, extracted descriptive and gene expression data and assessed study quality. Using a vote-counting method based on a comparative meta-profiling algorithm, we determined a meta-signature that characterizes the significant intersection of differentially expressed genes from the collection of independent gene signatures.

Results

We identified 33 eligible gene expression array studies of placental tissue in the 3^rd trimester comprising 30 datasets on mRNA expression and 4 datasets on microRNA expression. The pre-eclamptic placental meta-signature consisted of 40 annotated gene transcripts and 17 microRNAs. At least half of the mRNA transcripts encode a protein that is secreted from the cell and could potentially serve as a biomarker.

Conclusions

In addition to well-known and validated genes, we identified 14 transcripts not reported previously in relation to pre-eclampsia of which the majority is also expressed in the 1^st trimester placenta, and three encode a secreted protein.

A lesson for cancer research: placental microarray gene analysis in preeclampsia

Tumor progression and pregnancy share many common features, such as immune tolerance and invasion. The invasion of trophoblasts in the placenta into the uterine wall is essential for fetal development, and is thus precisely regulated. Its deregulation has been implicated in preeclampsia, a leading cause for maternal and perinatal mortality and morbidity. Pathogenesis of preeclampsia remains to be defined. Microarray-based gene profiling has been widely used for identifying genes responsible for preeclampsia. In this review, we have summarized the recent data from the microarray studies with preeclamptic placentas. Despite the complex of gene signatures, suggestive of the heterogeneity of preeclampsia, these studies identified a number of differentially expressed genes associated with preeclampsia. Interestingly, most of them have been reported to be tightly involved in tumor progression. We have discussed these interesting genes and analyzed their potential molecular functions in preeclampsia, compared with their roles in malignancy development. Further investigations are warranted to explore the involvement in molecular network of each identified gene, which may provide not only novel strategies for prevention and therapy for preeclampsia but also a better understanding of cancer cells. The trophoblastic cells, with their capacity for proliferation and differentiation, apoptosis and survival, migration, angiogenesis and immune modulation by exploiting similar molecular pathways, make them a compelling model for cancer research.