Assessing urinary phenol and paraben mixtures in pregnant women with and without gestational diabetes mellitus: A case-control study

Urinary concentrations of early and mid-pregnancy parabens and gestational diabetes: A nested case-control study within the PETALS cohort

Parabens are widely used preservatives with endocrine-disrupting properties, but their role in glucose metabolism during pregnancy is unclear. This study examines prospective associations between urinary concentrations of four parabens in early and mid-pregnancy and gestational diabetes (GDM). A matched case-control study nested within a diverse longitudinal pregnancy cohort (PETALS) with universal GDM screening matched GDM cases to two controls (111 cases; 222 controls). Urine samples collected 2015-2017 in early (14 ± 2.3 weeks) and mid-pregnancy (20 ± 2.4 weeks) were analyzed for paraben concentrations with mass spectrometry. Area-under-the-time-concentration-curve (AUC) assessed cumulative exposure. Conditional logistic regression models evaluated associations between paraben concentrations and GDM, adjusting for covariates. We a priori examined effect modification by Asian/Pacific Islander (A/PI) race/ethnicity due to the case-control matching and GDM prevalence highest among A/PI. Participants were 31 ± 5 years old and 40 % A/PI, 33 % Hispanic, 14 % White and 9 % Black. Methylparaben and propylparaben had >94 % detection, while ethylparaben and butylparaben ranged from 22 %-51 %. Paraben exposure was not associated with GDM overall. Among A/PI, higher methylparaben concentrations exhibited higher odds of GDM: early-pregnancy OR 1.14 per IQR (95 % CI: 0.89,1.45) and AUC 1.07 (0.89,1.30) compared to non-A/PI (early-pregnancy 0.81 [0.62,1.06] and AUC 0.70 [0.44,1.12]; Pinteraction = 0.01 and 0.03, respectively). A/PI mid-pregnancy ethylparaben exposure (detectable vs non-detectable) was linked to higher GDM odds (2.00 [0.84,4.76] vs. non-A/PI 0.47 [0.17,1.27]; Pinteraction = 0.04) as was mid-pregnancy propylparaben exposure (Tertile 2 vs. 1: 3.67 [1.21,11.1] vs. non-A/PI 0.70 [0.22, 2.25]; Pinteraction = 0.04). Although overall paraben exposure was not associated with GDM, interactions by A/PI race/ethnicity suggested potential increased odds of GDM related to propylparaben, methylparaben, and ethylparaben exposure. Future studies should explore paraben exposure in diverse populations.

Gestational Exposure to Endocrine-Disrupting Chemicals of Emerging Concern and the Risk of Developing Gestational Diabetes Mellitus: A Comprehensive Investigation of Sex-Specific and Trimester-Specific Associations

Gestational diabetes mellitus (GDM) is a type of diabetes that arises during pregnancy, leading to long-term adverse consequences for maternal health and fetal development. However, the specific role of endocrine-disrupting chemicals (EDCs) in the pathogenesis of GDM remains controversial. This prospective cohort study sought to investigate how coexposure to bisphenols, parabens, triclosan (TCS), benzophenone-type UV filters, and neonicotinoids (NEOs) affects the odds of GDM. Quantile-based g-computation and Bayesian kernel machine regression showed a significant inverse relationship between EDC mixtures and the reduced risk of GDM (OR = 0.34, 95% CI: 0.13-0.87), which was mainly explained by bisphenol (OR = 0.49, 95% CI: 0.29-0.80) and paraben (OR = 0.60, 95% CI: 0.40-0.91) exposure. Bisphenol S (BPS), bisphenol Z (BPZ), ethylparaben (EtP), propylparaben (PrP), and butylparaben (BuP) were identified as key contributors to the joint effect. In addition, subgroup analyses suggested that the bisphenols-GDM association was more pronounced in younger/normal-weight participants. The sex-specific impact of exposure to bisphenols on the development of GDM was observed, whereas the second trimester represented a critical window for EDC exposure. Continued research efforts, focusing on causal pathways and nonmonotonic relationships, will be crucial to elucidate the complex influence of EDC exposure on the development of GDM.

Assessment of Environmental Risk Factors for Gestational Diabetes Mellitus: A Ten-Year Systematic Review and Meta-Analysis

Background/Objectives: It is estimated that gestational diabetes mellitus (GDM) affects approximately 14% of pregnant women. This is due to the inability of the body to produce enough insulin for gestation. With greater appearance during the second and third trimesters, GDM has a multifactorial cause including hypertension, cardiovascular issues (CVD), family history both or either type two diabetes mellitus (T2DM) or GDM, obesity, advanced maternal age, and polycystic ovarian syndrome (PCOS). However, it has been suggested that except for genetic predisposition, environmental factors can increase the risk of GDM development to a great extent. The aim of this systematic review and meta-analysis is the examination of different environmental contributors that play a significant role in the development of GDM. Methods: The databases used were PubMed and ScienceDirect. The inclusion criteria were a 10-year duration (2014-2024), English language, research articles, and only humans included. Afterwards, tables were created to summarize the most important information from each article. Forest and funnel plots were created to assess the possibility of a greatly significant difference between each environmental contributor. Results: Initially, 9361 articles were found. After the automation tools were applied, 706 were left. The total number of articles used in the study after the screening process was 26. Through the systematic review analysis, the following risk factors were stated to play a contributing role with GDM: extreme temperatures (both high and low), organophosphorus flame retardants (OFRs), bisphenol A (BPA), selenium (Se), metallic elements, urinary antimony (Sb), trace elements, thiamine and riboflavin, and fine particulate matter PM2.5. Conclusions: Through this meta-analysis, it can be concluded that there is statistical significance for fine particulate matter PM2.5, especially in the first (p < 0.001) and second (p < 0.001) trimesters, proving the acknowledged connection between PM2.5 and GDM pathogenesis during pregnancy. Apart from that, fetal sex can play an important role in the development of GDM, as there is the greatest risk in males (p < 0.001), whereas no correlation between maternal smoking habit and bisphenol A with GDM was found. In conclusion, it can be stated that environmental factors can have a great impact on the development of GDM during the gestational period, but more studies must be carried out to reinforce our outcomes.

The Effect of Bisphenol and Its Cytotoxicity on Female Infertility and Pregnancy Outcomes: A Narrative Review

Bisphenols, particularly bisphenol A (BPA), are among the most thoroughly investigated endocrine disrupting chemicals (EDCs). BPA was the first synthetic estrogen to be identified, exerting its estrogenic effects through interaction with human estrogen receptors (ERs). The aim of the present narrative review is to summarize the most recent literature regarding the adverse effects of bisphenols on female fertility and pregnancy outcomes. A review of the literature in the PubMed/Medline and Scopus databases was conducted in November 2024 and 15 studies were included in the present review. BPA levels were higher in women with diminished ovarian reserve, polycystic ovary syndrome, and recurrent miscarriages. Furthermore, one study showed a significant association between BPA levels and the onset of gestational diabetes mellitus. Higher levels of BPA are associated with disruptions to the female reproductive system, such as ovarian function, reduced number of antral follicles, and lower anti-Müllerian hormone (AMH) levels. Bisphenols A and S were associated with an increased risk of developing gestational diabetes mellitus. Bisphenols A and F were correlated with an increased risk of lower birth weight and bisphenol F seemed to be associated with an increased risk of preterm delivery. Ultimately, further research is necessary to fully understand the extent of the harmful effects that bisphenols have separately and as mixtures on the female reproductive system.

Associations of urinary biomarkers of phthalates, phenols, parabens, and organophosphate esters with glycemic traits in pregnancy: The Healthy Start Study

BACKGROUND

Certain endocrine-disrupting chemicals (EDCs) are widespread in consumer products and may alter glucose metabolism. However, the impact of EDC exposures on glucose and insulin regulation during pregnancy is incompletely understood, despite potential adverse consequences for maternal and infant health. We estimated associations between 37 urinary biomarkers of EDCs and glucose-insulin traits among pregnant women.

METHODS

Seventeen phthalate or phthalate substitute metabolites, six environmental phenols, four parabens, and ten organophosphate ester metabolites were quantified in mid-pregnancy urine from 298 participants in the Healthy Start Study. Fasting blood glucose, insulin, and hemoglobin A1c were assessed concurrently, and Homeostasis Model Assessment 2-Insulin Resistance (HOMA2-IR) was calculated. Gestational diabetes diagnoses and screening results were obtained from medical records for a subset of participants. We estimated associations between each EDC and outcome separately using linear and robust Poisson regression models and analyzed EDC mixture effects.

RESULTS

The EDC mixture was positively associated with glucose, insulin, and HOMA2-IR, although overall associations were attenuated after adjustment for maternal BMI. Two mixture approaches identified di(2-ethylhexyl) phthalate (DEHP) metabolites as top contributors to the mixture's positive associations. In single-pollutant models, DEHP metabolites were positively associated with fasting glucose, fasting insulin, and HOMA2-IR even after adjustment for maternal BMI. For example, each interquartile range increase in log2-transformed mono(2-ethyl-5-oxohexyl) phthalate was associated with 2.4 mg/dL (95% confidence interval (CI): 1.1, 3.6) higher fasting glucose, 11.8% (95%CI: 3.6, 20.5) higher fasting insulin, and 12.3% (95%CI: 4.2, 21.1) higher HOMA2-IR. Few EDCs were associated with hemoglobin A1c or with a combined outcome of impaired glucose tolerance or gestational diabetes.

DISCUSSION

Exposures to phthalates and particularly DEHP during pregnancy are associated with altered glucose-insulin regulation. Disruptions in maternal glucose metabolism during pregnancy may contribute to adverse pregnancy outcomes including gestational diabetes and fetal macrosomia, and associated long-term consequences for maternal and child health.

Association of phenol exposure during pregnancy and asthma development in children: The Japan Environment and Children's study

BACKGROUND

Alkylphenols can originate from numerous products containing alkylphenol ethoxylates, including cleaning products, household items, and cosmetics. Some phenols, such as nonylphenol, are known to be endocrine disruptors, and exposure to them is thought to have contributed to the recent increase in allergic diseases such as asthma. However, the impacts of prenatal phenol exposure on asthma development in children are still unclear.

METHODS

We analyzed the association between maternal urinary phenol concentrations during early pregnancy and the development of asthma in children at the age of 4, using data from the Japan Environment and Children's Study (JECS), a large-scale nationwide birth cohort study.

RESULTS

We recruited 3,513 pairs of mothers and children participating in the Sub-Cohort Study of JECS. We measured 24 phenols, including nitrophenol, parabens, bisphenol, octylphenol, and nonylphenol, in urine samples taken during the first trimester of pregnancy. The urinary levels of these phenols differed markedly, and some showed a broad spectrum of distribution. Methylparaben was detected at high levels in almost every participant (267.7 ng/ml, standard deviation 433.78). Logistic regression analysis revealed that the odds ratio of asthma onset for high exposure to butylparaben was 1.54 (95% confidence interval: 1.11-2.15). Additionally, logistic regression analysis by gender revealed an asthma development odds ratio of 2.09 (95% confidence interval: 1.20-3.65) for males and 0.65 (95% confidence interval: 0.25-1.70) for females born to mothers in whom 4-nonylphenol was detected, suggesting a gender difference.

CONCLUSION

Our current analysis using large cohort data suggests that high exposure to butylparaben and low exposure to 4-nonylphenol during pregnancy are risk factors for asthma development in children. These findings establish a valuable foundation for formulating recommendations about prenatal phenol exposure.

SOCS3 Methylation Partially Mediated the Association of Exposure to Triclosan but Not Triclocarban with Type 2 Diabetes Mellitus: A Case-Control Study

This study aimed to evaluate the association of TCs (triclosan (TCS) and triclocarban) exposure with T2DM and glucose metabolism-related indicators and the mediating effect of SOCS3 methylation on their associations. A total of 956 participants (330 T2DM and 626 controls) were included in this case-control study. Logistic regression and generalized linear models were used to assess the effect of TCs on T2DM and glucose metabolism-related indicators. The dose-response relationship between TCs and T2DM was analyzed by restricted cubic spline. Finally, after evaluating the association between TCs and SOCS3 methylation levels, the mediating effect of SOCS3 methylation on the TC-associated T2DM was estimated. Each 1-unit increase in TCS levels was associated with a 13.2% increase in the risk of T2DM (OR = 1.132, 95% CI: 1.062, 1.207). A linear dose-response relationship was found between TCS and T2DM. TCS was negatively associated with Chr17:76356190 methylation. Moreover, mediation analysis revealed that Chr17:76356190 methylation mediated 14.54% of the relationship between TCS exposure and T2DM. Exposure to TCS was associated with a higher prevalence of T2DM. SOCS3 methylation partially mediated the association of TCS with T2DM. Our findings may provide new insights into the treatment of T2DM, and the study of the biological mechanisms of T2DM.

Association of Phenols, Parabens, and Their Mixture with Maternal Blood Pressure Measurements in the PROTECT Cohort

BACKGROUND

Phenols and parabens are two classes of high production volume chemicals that are used widely in consumer and personal care products and have been associated with reproductive harm and pregnancy complications, such as preeclampsia and gestational diabetes. However, studies examining their influence on maternal blood pressure and gestational hypertension are limited.

OBJECTIVES

We investigated associations between individual phenols, parabens, and their mixture on maternal blood pressure measurements, including systolic and diastolic blood pressure (SBP and DBP) and hypertension during pregnancy (defined as stage 1 or 2 hypertension), among N = 1,433 Puerto Rico PROTECT study participants.

METHODS

We examined these relationships cross-sectionally at two time points during pregnancy (16-20 and 24-28 wks gestation) and longitudinally using linear mixed models (LMMs). Finally, we used quantile g-computation to examine the mixture effect on continuous (SBP, DBP) and binary (hypertension during pregnancy) blood pressure outcomes.

RESULTS

We observed a trend of higher odds of hypertension during pregnancy with exposure to multiple analytes and the overall mixture [including bisphenol A (BPA), bisphenol S (BPS), triclocarbon (TCC), triclosan (TCS), benzophenone-3 (BP-3), 2,4-dichlorophenol (2,4-DCP), 2,5-dichlorophenol (2,5-DCP), methyl paraben (M-PB), propyl paraben (P-PB), butyl paraben (B-PB), and ethyl paraben (E-PB)], especially at 24-28 wk gestation, with an adjusted mixture odds ratio ( OR ) = 1.57 (95% CI: 1.03, 2.38). Lower SBP and higher DBP were also associated with individual analytes, with results from LMMs most consistent for methyl paraben (M-PB) or propyl paraben (P-PB) and increased DBP across pregnancy [adjusted M-PB β = 0.78 (95% CI: 0.17, 1.38) and adjusted P-PB β = 0.85 (95% CI: 0.19, 1.51)] and for BPA, which was associated with decreased SBP (adjusted β = - 0.57 ; 95% CI: - 1.09 , - 0.05 ). Consistent with other literature, we also found evidence of effect modification by fetal sex, with a strong inverse association observed between the overall exposure mixture and SBP at visit 1 among participants carrying female fetuses only.

CONCLUSIONS

Our findings indicate that phenol and paraben exposure may collectively increase the risk of stage 1 or 2 hypertension during pregnancy, which has important implications for fetal and maternal health. https://doi.org/10.1289/EHP14008.

Associations of dichlorophenols, trichlorophenols, and ortho-phenylphenol with the risk and prognosis of diabetes and prediabetes: A population-based study

2,4-dichlorophenol (2,4-DCP), 2,5-DCP, 2,4,5-trichlorophenol (2,4,5-TCP), 2,4,6-TCP, and ortho-phenylphenol (OPP) are widely present in the environment. However, their associations with risk and prognosis of diabetes and prediabetes remains unclear. We investigated the associations of these five phenols with the risk of diabetes and prediabetes, and with all-cause and cardiovascular disease (CVD) mortality, in adults with diabetes or prediabetes (n=6419). Information on diabetes and prediabetes indicators, and mortality data was collected from the National Health and Nutrition Examination Survey. Logistic and Cox regression models were used to explore the associations of the five phenols with risk and prognosis of diabetes and prediabetes. Participants in the highest urinary 2,4-DCP and 2,5-DCP tertiles had higher odds of diabetes [adjusted odds ratio (aOR), 1.34, 95 % confidence interval (CI): 1.10, 1.62; aOR, 1.29, 95 % CI: 1.07, 1.56, respectively] than those in the lowest tertiles. Participants with urinary OPP concentrations above the limit of detection (LOD), but below median had an aOR of 1.25 (95 % CI: 1.08, 1.46) for prediabetes compared to those with concentrations below the LOD. In adults with diabetes, the highest 2,4-DCP and 2,5-DCP tertiles were associated with all-cause mortality [adjusted hazard ratio (aHR), 1.49; 95 % CI: 1.08, 2.06; aHR, 1.49; 95 % CI: 1.08, 2.05, respectively] and CVD mortality (aHR, 2.58; 95 % CI: 1.33, 4.97; aHR, 1.96; 95 % CI: 1.06, 3.60, respectively) compared with the lowest tertiles. Compared with 2,4,5-TCP concentrations below the LOD, those above median were associated with all-cause mortality (aHR: 1.75; 95 % CI: 1.24, 2.48) and CVD mortality (aHR: 2.34; 95 % CI: 1.19, 4.63) in adults with prediabetes. Furthermore, the associations between these phenols and mortality were strengthened in some subgroups. Environmental exposure to 2,4-DCP, 2,5-DCP, 2,4,5-TCP, and OPP increases the risk or adverse prognosis of diabetes or prediabetes in adults in the US. Further studies are required to confirm these findings.

Non-persistent endocrine disrupting chemical mixtures and uterine leiomyomata in the study of environment, lifestyle and fibroids (SELF)

BACKGROUND

Results of studies investigating associations between individual endocrine-disrupting chemicals (EDCs) and incidence of uterine leiomyomata (UL), a hormone-dependent gynecological condition, have been inconsistent. However, few studies have evaluated simultaneous exposure to a mixture of EDCs with UL incidence.

METHODS

We conducted a case-cohort analysis (n = 708) of data from the Study of the Environment, Lifestyle and Fibroids (SELF), a prospective cohort study. Participants were aged 23-35 years at enrollment, had an intact uterus, and identified as Black or African American. We measured biomarker concentrations of 21 non-persistent EDCs, including phthalates, phenols, parabens, and triclocarban, in urine collected at baseline, 20-month, and 40-month clinic visits. We ascertained UL incidence and characteristics using ultrasounds at baseline and approximately every 20 months through 60 months. We used probit Bayesian Kernel Machine Regression (BKMR-P) to evaluate joint associations between EDC mixtures with cumulative UL incidence. We estimated the mean difference in the probit of UL incidence over the study period, adjusting for baseline age, education, years since last birth, parity, smoking status and body mass index. We converted probit estimates to odds ratios for ease of interpretation.

RESULTS

We observed that urinary concentrations of the overall EDC mixture were inversely associated with UL incidence in the overall mixtures model, with the strongest inverse associations at the 70th percentile of all biomarkers compared with their 50th percentile (odds ratio = 0.59; 95% confidence interval: 0.36, 0.96). Strongest contributors to the joint association for the mixture were bisphenol S (BPS), ethyl paraben (EPB), bisphenol F (BPF) and mono (2-ethyl-5-carboxypentyl) phthalate (MECPP), which each demonstrated inverse associations except for MECPP. There was suggestive evidence of an interaction between MECPP and EPB.

CONCLUSION

In this prospective ultrasound study, we observed evidence of an inverse association between the overall mixture of urinary biomarker concentrations of non-persistent EDCs with UL incidence.

Are miR-26a and miR-26b microRNAs potent prognostic markers of gestational diabetes?

Background

Gestational diabetes mellitus is a common public health problem, accompanied by complications for the mother and fetus. So, introducing new biomarkers to identify early diabetes is essential. As serum miRNAs are potentially appropriate markers, we investigated miR-26a and miR-26b expression levels in pregnant women with and without gestational diabetes.

Method

Demographic and clinical characteristics of 40 gestational diabetic patients and 40 healthy controls were assessed. The expression level of miR-26a and miR-26b microRNAs was measured by real-time PCR. Statistical analysis was done with GraphPad Prism software (version 8.4.3).

Result

The findings of this study showed that the expression level of miR-26a and miR-26b increased in women with gestational diabetes compared with healthy pregnant women, but the increase in expression was only significant for miR-26a (p < 0.05).

Conclusion

According to the statistical and ROC curves, we suggest miR-26a as a potential biomarker for the early diagnosis of gestational diabetes mellitus.

Endocrine disrupting compounds in the baby's world - A harmful environment to the health of babies

Globally, there has been a significant increase in awareness of the adverse effects of chemicals with known or suspected endocrine-acting properties on human health. Human exposure to endocrine disrupting compounds (EDCs) mainly occurs by ingestion and to some extent by inhalation and dermal uptake. Although it is difficult to assess the full impact of human exposure to EDCs, it is well known that timing of exposure is of importance and therefore infants are more vulnerable to EDCs and are at greater risk compared to adults. In this regard, infant safety and assessment of associations between prenatal exposure to EDCs and growth during infancy and childhood has been received considerable attention in the last years. Hence, the purpose of this review is to provide a current update on the evidence from biomonitoring studies on the exposure of infants to EDCs and a comprehensive view of the uptake, the mechanisms of action and biotransformation in baby/human body. Analytical methods used and concentration levels of EDCs in different biological matrices (e.g., placenta, cord plasma, amniotic fluid, breast milk, urine, and blood of pregnant women) are also discussed. Finally, key issues and recommendations were provided to avoid hazardous exposure to these chemicals, taking into account family and lifestyle factors related to this exposure.

Environmental pollutants exposure and gestational diabetes mellitus: Evidence from epidemiological and experimental studies

Except for known sociodemographic factors, long-term exposure to environmental pollutants has been shown to contribute to the development of gestational diabetes mellitus (GDM), but the conclusions remain controversial. To provide a comprehensive overview of the association between environmental pollutants and GDM, we performed a systematic review and meta-analysis. Several electronic databases (PubMed, Embase, Web of Science, Medline and Cochrane) were searched for related epidemiological and experimental studies up to September 2022. For epidemiological studies, a meta-analysis was carried out to appraise the effect of environmental pollutants, including polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), per- and polyfluoroalkyl substances (PFASs), phenols, phthalates (PAEs), polybrominated diphenyl ethers (PBDEs) and parabens exposure on GDM. Moreover, we also summarized possible biological mechanisms linking pollution exposure and GDM based on the included experimental studies. A total of 80 articles were enrolled, including 38 epidemiological studies and 42 experimental studies. Meta-analysis results showed that exposure to PAEs [OR (95%CI) = 1.07 (1.00, 1.14)], PFASs [OR (95%CI) = 1.10 (1.01, 1.19)], as well as PCBs [OR (95%CI) = 1.18 (1.02, 1.36)] and PBDEs [OR (95%CI) = 1.33 (1.17, 1.50)] significantly increased the risk of GDM, but no significant effects were found for phenols, OCPs, and parabens. In addition, experimental studies suggested that the potential biological mechanisms of environmental pollutants contributing to GDM may involve insulin resistance, β-cell dysfunction, neurohormonal dysfunction, inflammation, oxidative stress, epigenetic modification, and alterations in gut microbiome. In conclusion, long-term environmental pollutants exposure may induce the development of GDM, and there may be a synergistic effect between the homologs. However, studies conducted on the direct biological link between environmental pollutants and GDM were few. More prospective studies and high-quality in vivo and in vitro experiments were needed to investigate the specific effects and mechanisms.

Mixtures of environmental contaminants and diabetes

BACKGROUND

Many studies have been published on the relationships between different environmental contaminants and diabetes. In these studies, the environmental contaminants have most often been evaluated one by one, but in real life we are exposed to a mixture of contaminants that interact with each other.

OBJECTIVE

The major aim of this study was to see if a mixture of contaminants could improve the prediction of incident diabetes, using machine learning.

METHODS

In the Prospective Investigation of the Vasculature in Uppsala (PIVUS) study (988 men and women aged 70 years), circulating levels of 42 contaminants from several chemical classes were measured at baseline. Incident diabetes was followed for 15 years. Six different machine-learning models were used to predict prevalent diabetes (n = 115). The variables with top importance were thereafter used to predict incident diabetes (n = 83).

RESULTS

Boosted regression trees performed best regarding prediction of prevalent diabetes (area under the ROC-curve = 0.70). Following removal of correlated contaminants, the addition of nine selected contaminants (Cd, Pb, Trans-nonachlor the phthalate MiBP, Hg, Ni, PCB126, PCB169 and PFOS) resulted in a significant improvement of 6.0 % of the ROC curve (from 0.66 to 0.72, p = 0.018) regarding incident diabetes (n = 51) compared with a baseline model including sex and BMI when the first 5 years of the follow-up was used. No such improvement in prediction was seen over 15 years follow-up. The single contaminant being most closely related to incident diabetes over 5 years was Nickel (odds ratio 1.44 for a SD change, 95 % CI 1.05-1.95, p = 0.022).

CONCLUSION

This study supports the view that machine learning was useful in finding a mixture of important contaminants that improved prediction of incident diabetes. This improvement in prediction was seen only during the first 5 years of follow-up.

Genome-wide distribution of histone trimethylation reveals a global impact of bisphenol A on telomeric binding proteins and histone acetyltransferase factors: a pilot study with human and in vitro data

OBJECTIVE

To assess the genetic and epigenetic effects promoted by Bisphenol A (BPA) exposure in adolescent males from the Spanish INMA-Granada birth cohort, and in human cells.

METHODS

DNA methylation was analysed using MEDIP. Repeat number variation in genomic DNA was evaluated, along with the analysis of H3K4me3 by using chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq). Analyses were performed with material extracted from whole blood of the adolescents, complemented by in vitro assessments of human (HeLa) cells exposed to 10 nM BPA, specifically, immunofluorescence evaluation of protein levels, gene expression analysis and ChIP‒qPCR analysis.

RESULTS

Adolescents in the high urinary BPA levels group presented a higher level of Satellite A (SATA) repetitive region copy numbers compared to those in the low BPA group and a tendency towards increase in telomere length. We also observed decreased DNA methylation at the promoters of the imprinted genes H19, KCNQ1, and IGF2; at LINE1 retroelements; and at the ARID2, EGFR and ESRRA and TERT genes. Genome-wide sequencing revealed increased H3K4me3 occupancy at the promoters of genes encoding histone acetyltransferases, telomeric DNA binding factors and DNA repair genes. Results were supported in HeLa cells exposed to 10 nM BPA in vitro. In accordance with the data obtained in blood samples, we observed higher H3K4me3 occupancy and lower DNA methylation at some specific targets in HeLa cells. In exposed cells, changes in the expression of genes encoding DNA repair factors (ATM, ARID2, TRP53) were observed, and increased expression of several genes encoding telomeric DNA binding factors (SMG7, TERT, TEN1, UPF1, ZBTB48) were also found. Furthermore, an increase in ESR1/ERa was observed in the nuclei of HeLa cells along with increased binding of ESR1 to KAT5, KMT2E and TERF2IP promoters and decreased ESR1 binding at the RARA promoter. The DNA damage marker p53/TP53 was also increased.

CONCLUSION

In this pilot study, genome-wide analysis of histone trimethylation in adolescent males exposed to BPA revealed a global impact on the expression of genes encoding telomeric binding proteins and histone acetyltransferase factors with similar results in HeLa cells. Nevertheless, larger studies should confirm our findings.