Association between chemical mixtures and female fertility in women undergoing assisted reproduction in Sweden and Estonia.

OBJECTIVE: Women of reproductive age are exposed to ubiquitous chemicals such as phthalates, parabens, and per- and polyfluoroalkyl substances (PFAS), which have potential endocrine disrupting properties and might affect fertility. Our objective was to investigate associations between potential endocrine-disrupting chemicals (EDCs) and female fertility in two cohorts of women attending fertility clinics. METHODS: In a total population of 333 women in Sweden and Estonia, we studied the associations between chemicals and female fertility, evaluating ovarian sensitivity index (OSI) as an indicator of ovarian response, as well as clinical pregnancy and live birth from fresh and frozen embryo transfers. We measured 59 chemicals in follicular fluid samples and detected 3 phthalate metabolites, di-2-ethylhexyl phthalate (DEHP) metabolites, 1 paraben, and 6 PFAS in >90% of the women. Associations were evaluated using multivariable-adjusted linear or logistic regression, categorizing EDCs into quartiles of their distributions, as well as with Bayesian Kernel Machine Regression. RESULTS: We observed statistically significant lower OSI at higher concentrations of the sum of DEHP metabolites in the Swedish cohort (Q4 vs Q1, ß = -0.21, 95% CI: -0.38, -0.05) and methylparaben in the Estonian cohort (Q3 vs Q1, ß = -0.22, 95% CI: -0.44, -0.01). Signals of potential associations were also observed at higher concentrations of PFUnDA in both the combined population (Q2 vs. Q1, ß = -0.16, 95% CI -0.31, -0.02) and the Estonian population (Q2 vs. Q1, ß = -0.27, 95% CI -0.45, -0.08), and for PFOA in the Estonian population (Q4 vs. Q1, ß = -0.31, 95% CI -0.61, -0.01). Associations of chemicals with clinical pregnancy and live birth presented wide confidence intervals. CONCLUSIONS: Within a large chemical mixture, we observed significant inverse associations levels of DEHP metabolites and methylparaben, and possibly PFUnDA and PFOA, with OSI, suggesting that these chemicals may contribute to altered ovarian function and infertility in women.

Cellular, Extracellular and Extracellular Vesicular miRNA Profiles of Pre-Ovulatory Follicles Indicate Signaling Disturbances in Polycystic Ovaries.

Cell-free RNAs have the potential to act as a means of gene expression regulation between cells and are therefore used as diagnostic markers describing the state of tissue environment. The origin and functions of such RNAs in human ovarian follicle, the environment of oocyte maturation, are unclear. The current study investigates the difference in the microRNA profiles of fertile women and polycystic ovary syndrome (PCOS) patients in three compartments from the same preovulatory follicle: mural granulosa cells (MGC), cell-free follicular fluid (FF), and extracellular vesicles (EV) of the FF by small RNA sequencing. In silico analysis was used for the prediction and over-representation of targeted pathways for the detected microRNAs. PCOS follicles were distinguished from normal tissue by the differential expression of 30 microRNAs in MGC and 10 microRNAs in FF (FDR < 0.1) that commonly regulate cytokine signaling pathways. The concentration of EV-s was higher in the FF of PCOS patients (p = 0.04) containing eight differentially expressed microRNAs (p < 0.05). In addition, we present the microRNA profiles of MGC, FF, and EV in the fertile follicle and demonstrate that microRNAs loaded into EVs target mRNAs of distinct signaling pathways in comparison to microRNAs in FF. To conclude, the three follicular compartments play distinct roles in the signaling disturbances associated with PCOS.

Identification of phthalate mixture exposure targets in the human and mouse ovary in vitro.

Chemical health risk assessment is based on single chemicals, but humans and wildlife are exposed to extensive mixtures of industrial substances and pharmaceuticals. Such exposures are life-long and correlate with multiple morbidities, including infertility. How combinatorial effects of chemicals should be handled in hazard characterization and risk assessment are open questions. Further, test systems are missing for several relevant health outcomes including reproductive health and fertility in women. Here, our aim was to screen multiple ovarian cell models for phthalate induced effects to identify biomarkers of exposure. We used an epidemiological cohort study to define different phthalate mixtures for in vitro testing. The mixtures were then tested in five cell models representing ovarian granulosa or stromal cells, namely COV434, KGN, primary human granulosa cells, primary mouse granulosa cells, and primary human ovarian stromal cells. Exposures at epidemiologically relevant levels did not markedly elicit cytotoxicity or affect steroidogenesis in short 24-hour exposure. However, significant effects on gene expression were identified by RNA-sequencing. Altogether, the exposures changed the expression of 124 genes on the average (9-479 genes per exposure) in human cell models, without obvious concentration or mixture-dependent effects on gene numbers. The mixtures stimulated distinct changes in different cell models. Despite differences, our analyses suggest commonalities in responses towards phthalates, which forms a starting point for follow-up studies on identification and validation of candidate biomarkers that could be developed to novel assays for regulatory testing or even into clinical tests.

Plasma cytokines during pregnancy provide insight into the risk of diabetes in the gestational diabetes risk group.

AIMS/INTRODUCTION: Gestational diabetes (GDM) is characterized by low-grade systemic inflammation, which manifests as changes in the levels of cytokines in the blood. We aimed to investigate plasma immune mediators during gestational weeks 23-28 in 213 women at risk for GDM, and to find associations between GDM and its complications. MATERIALS AND METHODS: We quantified the levels of adipokines: adiponectin, leptin, plasminogen activator inhibitor-1 and resistin; chemokines: C-C motif chemokine ligand 2 (CCL2), CCL4, C-X-C motif chemokine ligand 8 (CXCL8) and CXCL10; and cytokines: granulocyte-macrophage colony-stimulating factor, interferon-γ, interleukin (IL)-1ß, soluble (s)IL-1RI, IL-2, sIL-2Ra, IL-4, IL-5, IL-6, IL-7, IL-10, IL-12(p70), IL-13, IL-15, IL-17A, IL-17F, IL-21, IL-22, IL-23, IL-27, transforming growth factor (TGF)-ß1, TGF-ß2, TGF-ß3, tumor necrosis factor-α and soluble tumor necrosis factor receptor 2 using the Milliplex®MAP Magnetic Bead assay on Luminex®200™, and compared the results with clinical data from pregnancy and post-partum follow up. RESULTS: Lower levels of adiponectin and higher levels of CCL2 (Wilcoxon test, P = 3.4E-03 and P = 0.03, respectively) were found in women with GDM. IL-27 levels were associated with lower odds of GDM (adjusted logistic regression 0.90, P = 2.4E-03), and showed a risk association with glutamic acid decarboxylase autoantibody positivity (adjusted odds ratio 1.13, P = 2.8E-03). Similarly, higher IL-22 levels increased the odds of glutamic acid decarboxylase autoantibody positivity (adjusted odds ratio 4.23, P = 0.04). TGF-ß1 was associated with post-partum fasting glucose levels, and CCL4 with post-partum C-peptide levels (linear regression, P = 0.04 and P = 0.01, respectively). Women who developed pregnancy complications had higher levels of CXCL10 and CCL4 (linear regression, P = 7.0E-04 and P = 0.01, respectively). CONCLUSIONS: Plasma adiponectin and CCL2 concentrations distinguish women with GDM. IL-27 and IL-22 levels might select women with an autoimmune reaction, whereas increased TGF-ß1 and CCL4 are associated with post-partum glucose and insulin metabolism.

Single-cell RNA-seq analysis and cell-cluster deconvolution of the human preovulatory follicular fluid cells provide insights into the pathophysiology of ovarian hyporesponse.

Reduction in responsiveness to gonadotropins or hyporesponsiveness may lead to the failure of in vitro fertilization (IVF), due to a low number of retrieved oocytes. The ovarian sensitivity index (OSI) is used to reflect the ovarian responsiveness to gonadotropin stimulation before IVF. Although introduced to clinical practice already years ago, its usefulness to predict clinical outcomes requires further research. Nevertheless, pathophysiological mechanisms of ovarian hyporesponse, along with advanced maternal age and in younger women, have not been fully elucidated. Follicles consist of multiple cell types responsible for a repertoire of biological processes including responding to pituitary gonadotropins necessary for follicle growth and oocyte maturation as well as ovulation. Encouraging evidence suggests that hyporesponse could be influenced by many contributing factors, therefore, investigating the variability of ovarian follicular cell types and their gene expression in hyporesponders is highly informative for increasing their prognosis for IVF live birth. Due to advancements in single-cell analysis technologies, the role of somatic cell populations in the development of infertility of ovarian etiology can be clarified. Here, somatic cells were collected from the fluid of preovulatory ovarian follicles of patients undergoing IVF, and RNA-seq was performed to study the associations between OSI and gene expression. We identified 12 molecular pathways differentially regulated between hypo- and normoresponder patient groups (FDR<0.05) from which extracellular matrix organization, post-translational protein phosphorylation, and regulation of Insulin-like Growth Factor (IGF) transport and uptake by IGF Binding Proteins were regulated age-independently. We then generated single-cell RNA-seq data from matching follicles revealing 14 distinct cell clusters. Using cell cluster-specific deconvolution from the bulk RNA-seq data of 18 IVF patients we integrated the datasets as a novel approach and discovered that the abundance of three cell clusters significantly varied between hypo- and normoresponder groups suggesting their role in contributing to the deviations from normal ovarian response to gonadotropin stimulation. Our work uncovers new information regarding the differences in the follicular gene expression between hypo- and normoresponders. In addition, the current study fills the gap in understanding the inter-patient variability of cell types in human preovulatory follicles, as revealed by single-cell analysis of follicular fluid cells.

Interleukin-7, T helper 1, and regulatory T-cell activity-related cytokines are increased during the second trimester of healthy pregnancy compared to non-pregnant women.

PROBLEM: Healthy pregnancy is associated with a physiologic increase in inflammatory responses. The objective of this study was to assess changes in plasma cytokines associated with uncomplicated pregnancy. METHOD OF STUDY: To examine these changes, plasma levels of immune response mediators from healthy gravidas (N = 115, gestation weeks 23-30) were compared with those from healthy non-pregnant women (N = 42). Comparisons were performed using multiplex analysis for Th1 activity-related cytokines (IFN-γ, IL-2, sIL-2Rα, IL-12[P70], and IL-27), Th2 activity-related cytokines (IL-4, IL-5, and IL-13), other immune response mediators (GM-CSF, IL-1ß, sIL-1RI, IL-6, IL-8, IL-15, IL-17A, IL-17F, IL-21, IL-22, IL-23, TGFß1, TGFß2, TGFß3, and TNFα), regulatory T cell-related cytokines (IL-10 and sTNFRII), adipokines (adiponectin, leptin, PAI-1, and resistin), chemokines (IP-10, MCP-1, and MIP-1ß), and hematopoietic growth factor IL-7. RESULTS: Multivariate linear regression models showed increased levels of IL-7, Th1-, and Treg activity-related cytokines and decreased levels of adipokines and chemokines in healthy gravidas compared with healthy non-pregnant women. Additionally, season of the year, age, pre-pregnancy body mass index, and HLA-DR/DQ genotypes for type 1 diabetes risk showed different and sometimes reciprocal influence on cytokine levels. CONCLUSION: Our study stresses the importance of profiling immune response mediators during pregnancy to better understand the effect of healthy pregnancy on cytokine levels.