Identification of novel first-trimester serum biomarkers for early prediction of preeclampsia

Understanding the role of immune-mediated inflammatory disease related cytokines interleukin 17 and 23 in pregnancy: A systematic review

Background

Pregnancy requires a careful immune balance between tolerance for the semi-allogenic fetus and protection against pathogens. Women with immune-mediated inflammatory diseases (IMIDs), where the interleukin (IL)-23/IL-17 axis plays an important role, often experience changes in disease severity during pregnancy. These changes and the association between disease flares and pregnancy complications, suggests a role for IL-17 and IL-23 in pregnancy.

Methods

We systemically searched PubMed, EMBASE, and Web of Science (March 2024), to assess the role of IL-17 and IL-23 in pregnancy-related in vitro assays, animal or human studies.

Results

Eighty articles (8 in vitro, 11 animal and 61 human studies) were included. Seventy-one studies reported on IL-17 and 16 studies on IL-23. In vitro trophoblast proliferation, migration and invasion was increased in the presence of IL-17, but impaired with IL-23. IL-17 levels were increased in animal models for pregnancy complications. In humans, IL-17 levels seemed to be increased in pregnant women versus non-pregnant women. Additionally, elevated IL-17 levels were associated with pregnancy complications. Although similar trends were found for IL-23, data were limited.

Conclusions

We identified a large, but heterogenic, body of evidence for a significant role of IL-17 in all stages of pregnancy: while an excessive increase seemed to be associated with complications. The limited number of studies prevents firm conclusions on the role of IL-23. Future research is needed to find biomarkers for patients with IMIDs to predict the effect of possible disease flares on pregnancy, and the effect of therapeutic inhibition of IL-17 or IL-23.

Novel first-trimester serum biomarkers for early prediction of gestational diabetes mellitus

BACKGROUND

Gestational diabetes mellitus (GDM) is a common obstetric complication worldwide that seriously threatens maternal and fetal health. As the number of women conceiving through in vitro fertilization (IVF) continues to rise, this population is recognized as being at an elevated risk for GDM. However, there is still no consensus on the early prediction of GDM in IVF patients due to the lack of reliable biomarkers.

METHODS

We compared the first-trimester serum cytokine and antibody profiles in 38 GDM women and 38 matched controls undergoing IVF treatment, based on the extensive human biobank of our large‑scale assisted reproductive cohort platform. The 76 samples were divided into a training set (n = 53) and a testing set (n = 23) using a 7:3 ratio, and five diverse machine-learning models for predicting GDM were constructed.

RESULTS

By combining the top five differentially expressed first‑trimester serum biomarkers [including total immunoglobulin (Ig)G, total IgM, interleukin (IL)-7, anti‑phosphatidylserine (aPS)-IgG immune complexes (IC), and IL-15], a novel early prediction model was constructed, which achieved superior predictive value [area under the curve (AUC) and 95% confidence interval (CI) 0.906 (0.840-0.971), with a sensitivity of 75% and a specificity of 94.7%] for GDM development. The eXtreme Gradient Boosting (XGBoost) model achieved an AUC of 0.995 (95% CI: 0.995-1.000, P < 0.001) for the training set and 0.867 (95% CI: 0.789-0.952, P < 0.001) for the test set in predicting GDM.

CONCLUSIONS

We identified a set of novel first‑trimester serum cytokines and immune-related biomarkers and constructed an efficient first‑trimester prediction model for GDM in IVF population. These findings are expected to aid in the development of early predictive strategies for GDM and offer immunological insights for further mechanistic studies of GDM.

COVID-19 vaccination and pregnancy-induced hypertension risk in women undergoing assisted reproduction

STUDY QUESTION

Does COVID-19 vaccination affect the risk of pregnancy-induced hypertension (PIH) in women undergoing ARTs, and does this risk differ based on vaccine type (inactivated vs recombinant) and timing relative to embryo transfer?

SUMMARY ANSWER

Women who received inactivated COVID-19 vaccines before undergoing ART had a significantly increased risk of developing PIH, particularly when vaccinated with two or more doses or when embryo transfer occurred within 1 month of vaccination.

WHAT IS KNOWN ALREADY

COVID-19 vaccination during pregnancy reduces the risk of severe COVID-19 illness with no significant safety concerns for the mother or fetus. PIH is a common complication in ART pregnancies, particularly in older women and those with higher BMI, but the effects of different COVID-19 vaccine types on PIH risk in ART pregnancies remain unclear.

STUDY DESIGN, SIZE, DURATION

A retrospective cohort study analyzing 3911 women undergoing ART after receiving COVID-19 vaccines. The study period spanned from 1 December 2020 to 30 September 2022.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Participants were categorized based on COVID-19 vaccination status, vaccine type (inactivated vs recombinant), and the timing of vaccination relative to embryo transfer. The primary outcome was the development of PIH. Multivariate robust Poisson regression was used to assess the association between vaccination and PIH, while subgroup analyses explored the risk across variables like age, BMI, and embryo transfer type.

MAIN RESULTS AND THE ROLE OF CHANCE

Women vaccinated with an inactivated COVID-19 vaccine prior to embryo transfer had a significantly higher incidence of PIH compared to unvaccinated counterparts (relative risk [RR] = 1.45; 95% CI 1.10-1.92; P = 0.009). In contrast, recombinant vaccines did not show a significant association with increased PIH risk (RR = 1.19; 95% CI 0.69-2.05; P = 0.537). The risk was particularly pronounced among women receiving two or more doses of the inactivated vaccines and those who had embryo transfers within 1 month of vaccination. Subgroup analyses showed elevated PIH risk in women aged ≥30 years old, those with BMI ≥22 kg/m2, individuals with secondary infertility, and those undergoing cleavage-stage or fresh embryo transfers.

LIMITATIONS, REASONS FOR CAUTION

The study's retrospective design limits causal inference. The sample is from a single ethnic background, and familial hypertension history was not available, potentially introducing residual confounding.

WIDER IMPLICATIONS OF THE FINDINGS

The study suggests that the type and timing of COVID-19 vaccination may influence PIH risk in ART pregnancies. These findings underscore the need for careful consideration of vaccination type and timing in ART protocols and highlight the importance of further prospective studies to validate these results before influencing clinical decision-making.

STUDY FUNDING/COMPETING INTEREST(S)

This work was supported by the Hunan High-Level Talent Aggregation Project [2022RC4007]; the National Natural Science Foundation of China [72004148]; the Hunan Provincial Enterprise Joint Fund [2024JJ9093]; the Hunan Provincial Grant for Innovative Province Construction [2019SK4012]; the Deutschlandstipendium of the Charite; the non-restricted research grant of Boehringer Ingelheim Ltd.; and the Research Grant of CITIC-Xiangya [YNXM-202304, 202217]. The authors report no conflicts of interest.

TRIAL REGISTRATION NUMBER

N/A.

Ferroptosis-related genes in preeclampsia: integrative bioinformatics analysis, experimental validation and drug prediction

INTRODUCTION

Preeclampsia (PE) is a severe pregnancy complication with limited early diagnostic and therapeutic options. Ferroptosis, an iron-dependent cell death pathway, has emerged as a potential mechanism in PE pathogenesis. This study investigated ferroptosis-related genes (FRGs) in PE to identify diagnostic biomarkers and therapeutic targets.

METHODS

Differentially expressed genes were identified from GEO databases and intersected with FRGs. Hub genes were selected using RandomForest and LASSO algorithms. Their diagnostic potential was evaluated through ROC analysis. Regulatory networks were constructed using transcription factors, microRNAs and potential drug targets. Hub gene expression was validated through immunohistochemistry, Western blot, and RT-qPCR in placental tissues and hypoxic trophoblasts.

RESULTS

We identified 25 ferroptosis-related differentially expressed genes enriched in ferroptosis and HIF-1 pathways. Four hub genes (NDRG1, P4HA1, LDHA, and IDO1) showed high diagnostic efficiency (AUC=0.9182). Immune cell analysis revealed altered levels of plasma cells, CD8+ T cells, Tregs, monocytes, and M2 macrophages in PE, correlating significantly with hub gene expression. We identified 84 mRNA-miRNA and 119 mRNA-TF interactions. Among 19 potential drugs, Tetrahydro-NAD showed promising targeting potential. Experimental validation confirmed elevated expression of NDRG1, P4HA1, and LDHA, and decreased IDO1 in PE tissues and hypoxic conditions.

DISCUSSION

This study identified four FRGs as potential PE biomarkers and therapeutic targets, providing new insights into PE pathogenesis through integrated bioinformatics and experimental validation. These findings may facilitate early PE diagnosis and treatment development.

Proteome- and Transcriptome-Wide Genetic Analysis Identifies Biological Pathways and Candidate Drug Targets for Preeclampsia

BACKGROUND

Preeclampsia is a leading cause of maternal and perinatal morbidity and mortality. However, the current understanding of its underlying biological pathways remains limited.

METHODS

In this study, we performed a cross-platform proteome- and transcriptome-wide genetic analysis aimed at evaluating the causal relevance of >2000 circulating proteins with preeclampsia, supported by data on the expression of over 15 000 genes across 36 tissues leveraging large-scale preeclampsia genetic association data from women of European ancestry.

RESULTS

We demonstrate genetic associations of 18 circulating proteins with preeclampsia (SULT1A1 [sulfotransferase 1A1], SH2B3 [SH2B adapter protein 3], SERPINE2 [serpin family E member 2], RGS18 [regulator of G-protein signaling 18], PZP [pregnancy zone protein], NOTUM [notum, palmitoleoyl-protein carboxylesterase], METAP1 [methionyl aminopeptidase 1], MANEA [mannosidase endo-alpha], jun-D [JunD proto-oncogene], GDF15 [growth differentiation factor 15], FGL1 [fibrinogen like 1], FGF5 [fibroblast growth factor 5], FES [FES proto-oncogene], APOBR [apolipoprotein B receptor], ANP [natriuretic peptide A], ALDH-E2 [aldehyde dehydrogenase 2 family member], ADAMTS13 [ADAM metallopeptidase with thrombospondin type 1 motif 13], and 3MG [N-methylpurine DNA glycosylase]), among which 11 were either directly or indirectly supported by gene expression data, 9 were supported by Bayesian colocalization analyses, and 5 (SERPINE2, PZP, FGF5, FES, and ANP) were supported by all lines of evidence examined. Protein interaction mapping identified potential shared biological pathways through natriuretic peptide signaling, blood pressure regulation, immune tolerance, and thrombin activity regulation.

CONCLUSIONS

This investigation identified multiple targetable proteins linked to cardiovascular, inflammatory, and coagulation pathways, with SERPINE2, PZP, FGF5, FES, and ANP identified as pivotal proteins with likely causal roles in the development of preeclampsia. The identification of these potential targets may guide the development of targeted therapies for preeclampsia.

Early prediction of spontaneous preterm birth before 34 gestational weeks based on a combination of inflammation-associated plasma proteins

Background

In order to identify and possibly offer prophylactic treatment to women at risk for preterm birth (PTB), novel prediction models for PTB are needed. Our objective was to utilize high-sensitive plasma protein profiling to investigate whether early prediction of spontaneous PTB (sPTB) before 34 gestational weeks (gw) was possible in a low-risk population.

Methods

A case-control study was conducted on 46 women with sPTB before 34 gw and 46 women with normal pregnancies and term deliveries. Prospectively collected plasma sampled at gw 11 (range 7-16) and gw 25 (range 23-30) was analyzed with a high-sensitivity Proximity Extension Assay for levels of 177 inflammation-associated proteins, and statistically processed with multivariate logistic regression analysis.

Results

In the first trimester, higher levels of hepatocyte growth factor (HGF) were associated with sPTB <34 gw (OR 1.49 (1.03-2.15)). In the second trimester, higher levels of interleukin (IL)-10 (OR 2.15 (1.18-3.92)), IL-6 (OR 2.59 (1.34-4.99)), and the receptor activator of nuclear factor κB (RANK) (OR 2.18 (1.26-3.77)) were associated with sPTB <34 gw. The area under the curve for the prediction models including these proteins was 0.653 (0.534-0.759) in the first trimester and 0.854 (0.754-0.925) in the second trimester.

Conclusion

A combination of inflammation-associated plasma proteins from the second trimester of pregnancy showed a good predictive ability regarding sPTB before 34 gw, suggesting it could be a valuable supplement for the assessment of the clinical risk of sPTB. However, although a high number (n=177) of plasma proteins were analyzed with a high-sensitivity method, the prediction of sPTB in the first trimester remains elusive.

Systemic inflammatory regulators and preeclampsia: a two-sample bidirectional Mendelian randomization study

Background

Systemic inflammatory regulators have been associated with preeclampsia (PE) during pregnancy; however, there is inconsistent evidence from animal models and observational results.

Methods

Using summary data from genome-wide association studies (GWASs), we performed a bidirectional Mendelian randomization (MR) analysis of two samples of systemic inflammatory regulators (n = 8,186) and PE (n = 267,242) individuals of European ancestry. As our primary analysis, we used the random-effects inverse-variance weighted (IVW) approach. Sensitivity and pleiotropy analyses were conducted using the MR-Egger method, weighted median, MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO), and Cochran's Q test.

Results

The results indicate that there is a correlation between a higher circulating level of tumor necrosis factor alpha (TNF-α) and interleukin-9 (IL-9) and an increased risk of PE (odds ratio [OR] = 1.32, 95% confidence interval [CI] = 1.09-1.60, p = 0.004 and OR = 1.28, 95% CI: 1.02-1.62, p = 0.033, respectively). Conversely, lower levels of stem cell growth factor beta (SCGF-β) (OR = 0.89, 95% CI: 0.80-0.99, p = 0.027) and interleukin-5 (IL-5) (OR = 0.80, 95% CI: 0.65-0.98, p = 0.030) are linked to an increased risk of PE. The macrophage migration inhibitory factor (MIF) is the downstream inflammatory regulator of PE, according to reverse magnetic resonance imaging studies.

Conclusion

Our study suggests that SCGF-β, IL-5, IL-9, and TNF-α causally affect the PE risk, while PE is causally associated with MIF. Further studies are needed to validate these biomarkers in managing PE.