11 results on '"Thomas P van der Meer"'
Search Results
2. A genome-wide association study of 24-hour urinary excretion of endocrine disrupting chemicals
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Xueling Lu, Thomas P. van der Meer, Zoha Kamali, Martijn van Faassen, Ido P. Kema, André P. van Beek, Xijin Xu, Xia Huo, Alireza Ani, Ilja M. Nolte, Bruce H.R. Wolffenbuttel, Jana V. van Vliet-Ostaptchouk, and Harold Snieder
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Endocrine disruptor ,Metabolism ,Excretion ,Solute carrier ,cytochrome P450 ,Genome-wide association study ,Environmental sciences ,GE1-350 - Abstract
Ubiquitous exposure to environmental endocrine disrupting chemicals (EDCs) instigates a major public health problem, but much remains unknown on the inter-individual differences in metabolism and excretion of EDCs. To examine this we performed a two-stage genome-wide association study (GWAS) for 24-hour urinary excretions of four parabens, two bisphenols, and nine phthalate metabolites. Results showed five genome-wide significant (p-value
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- 2024
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3. An epigenome-wide association study identifies multiple DNA methylation markers of exposure to endocrine disruptors
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Xueling Lu, Eliza Fraszczyk, Thomas P. van der Meer, Martijn van Faassen, Vincent W. Bloks, Ido P. Kema, André P. van Beek, Shuang Li, Lude Franke, Harm-Jan Westra, Xijin Xu, Xia Huo, Harold Snieder, Bruce H.R. Wolffenbuttel, and Jana V. van Vliet-Ostaptchouk
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Endocrine disruptor ,Metabolic trait ,Human exposure ,Epigenetics ,DNA methylation ,Epigenome-wide association study ,Environmental sciences ,GE1-350 - Abstract
Background: Exposure to environmental endocrine disrupting chemicals (EDCs) may play an important role in the epidemic of metabolic diseases. Epigenetic alterations may functionally link EDCs with gene expression and metabolic traits. Objectives: We aimed to evaluate metabolic-related effects of the exposure to endocrine disruptors including five parabens, three bisphenols, and 13 metabolites of nine phthalates as measured in 24-hour urine on epigenome-wide DNA methylation. Methods: A blood-based epigenome-wide association study was performed in 622 participants from the Lifelines DEEP cohort using Illumina Infinium HumanMethylation450 methylation data and EDC excretions in 24-hour urine. Out of the 21 EDCs, 13 compounds were detected in >75% of the samples and, together with bisphenol F, were included in these analyses. Furthermore, we explored the putative function of identified methylation markers and their correlations with metabolic traits. Results: We found 20 differentially methylated cytosine-phosphate-guanines (CpGs) associated with 10 EDCs at suggestive p-value
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- 2020
- Full Text
- View/download PDF
4. Data-driven assessment, contextualisation and implementation of 134 variables in the risk for type 2 diabetes: an analysis of Lifelines, a prospective cohort study in the Netherlands
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Chirag J. Patel, Thomas P van der Meer, Bruce H. R. Wolffenbuttel, and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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Adult ,Male ,Risk ,Identification ,Waist ,Endocrinology, Diabetes and Metabolism ,Population ,Lasso regression ,030209 endocrinology & metabolism ,Type 2 diabetes ,Prediction models ,Risk Assessment ,Article ,Prediabetic State ,03 medical and health sciences ,0302 clinical medicine ,Diabetes mellitus ,Machine learning ,Internal Medicine ,medicine ,Humans ,Prospective Studies ,030212 general & internal medicine ,Family history ,education ,Prospective cohort study ,Netherlands ,education.field_of_study ,Risk variable-wide association study ,business.industry ,Incidence ,Contextualisation ,Middle Aged ,Data-driven ,medicine.disease ,Prospective ,Diabetes Mellitus, Type 2 ,Hyperglycemia ,Cohort ,Female ,business ,Predictive modelling ,Demography - Abstract
Aims/hypothesis We aimed to assess and contextualise 134 potential risk variables for the development of type 2 diabetes and to determine their applicability in risk prediction. Methods A total of 96,534 people without baseline diabetes (372,007 person-years) from the Dutch Lifelines cohort were included. We used a risk variable-wide association study (RV-WAS) design to independently screen and replicate risk variables for 5-year incidence of type 2 diabetes. For identified variables, we contextualised HRs, calculated correlations and assessed their robustness and unique contribution in different clinical contexts using bootstrapped and cross-validated lasso regression models. We evaluated the change in risk, or ‘HR trajectory’, when sequentially assigning variables to a model. Results We identified 63 risk variables, with novel associations for quality-of-life indicators and non-cardiovascular medications (i.e., proton-pump inhibitors, anti-asthmatics). For continuous variables, the increase of 1 SD of HbA1c, i.e., 3.39 mmol/mol (0.31%), was equivalent in risk to an increase of 0.53 mmol/l of glucose, 19.8 cm of waist circumference, 8.34 kg/m2 of BMI, 0.67 mmol/l of HDL-cholesterol, and 0.14 mmol/l of uric acid. Other variables required an increase of >3 SD, which is not physiologically realistic or a rare occurrence in the population. Though moderately correlated, the inclusion of four variables satiated prediction models. Invasive variables, except for glucose and HbA1c, contributed little compared with non-invasive variables. Glucose, HbA1c and family history of diabetes explained a unique part of disease risk. Adding risk variables to a satiated model can impact the HRs of variables already in the model. Conclusions Many variables show weak or inconsistent associations with the development of type 2 diabetes, and only a handful can reliably explain disease risk. Newly discovered risk variables will yield little over established factors, and existing prediction models can be simplified. A systematic, data-driven approach to identify risk variables for the prediction of type 2 diabetes is necessary for the practice of precision medicine. Graphical abstract
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- 2021
5. Temporal exposure and consistency of endocrine disrupting chemicals in a longitudinal study of individuals with impaired fasting glucose
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Ido P. Kema, Jana V. van Vliet-Ostaptchouk, Martijn van Faassen, Ming K Chung, Konstantinos C. Makris, Thomas P van der Meer, Bruce H. R. Wolffenbuttel, André P van Beek, Chirag J. Patel, Center for Liver, Digestive and Metabolic Diseases (CLDM), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
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medicine.medical_specialty ,Bisphenol A ,Longitudinal study ,SAMPLES ,BIOMARKERS ,Phthalic Acids ,Parabens ,Urine ,Bisphenols ,010501 environmental sciences ,Endocrine Disruptors ,01 natural sciences ,Biochemistry ,Medical and Health Sciences ,Article ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Phthalates ,Internal medicine ,medicine ,Endocrine system ,Humans ,030212 general & internal medicine ,Longitudinal Studies ,0105 earth and related environmental sciences ,General Environmental Science ,PROPYL PARABEN ,RISK ,Chemistry ,Phthalate ,NURSES HEALTH ,WOMEN ,Environmental Exposure ,Fasting ,ASSOCIATION ,Impaired fasting glucose ,medicine.disease ,Reproducibility ,Paraben ,BISPHENOL-A ,Endocrinology ,Glucose ,NHANES DATA ,Temporal stability ,Environmental Pollutants ,Clinical Medicine ,URINARY PHTHALATE METABOLITES - Abstract
Endocrine disrupting chemicals (EDCs) include non-persistent exogenous substances such as parabens, bisphenols and phthalates which have been associated with a range of metabolic disorders and disease. It is unclear if exposure remains consistent over time. We investigated change in indicators of EDC exposure between 2009 and 2016 and assessed its consistency between and within individuals over a median follow-up time of 47 months in a sample of Dutch individuals. Of 500 Dutch individuals, two 24 h urine samples were analysed for 5 parabens, 3 bisphenols and 13 metabolites of in total 8 different phthalates. We calculated per-year differences using metaanalysis and assessed temporal correlations between and within individuals using Spearman correlation coefficients, intra-class correlation coefficients (ICC) and kappa-statistics. We found a secular decrease in concentrations of methyl, ethyl, propyl and n-butyl paraben, bisphenol A, and metabolites of di-ethyl phthalate (DEP), di-butyl phthalate (DBP), di-(2-ethyl-hexyl) phthalate (DEHP), and butylbenzyl phthalate (DBzP) which varied from 8 to 96% (ethyl paraben, propyl paraben) between 2009 and 2016. Within-person temporal correlations were highest for parabens (ICC: 0.34 to 0.40) and poorest for bisphenols (ICC: 0.15 to 0.23). For phthalate metabolites, correlations decreased most between time periods (ICC < 48 months: 0.22 to 0.39; >= 48 months: 0.05 to 0.32). When categorizing EDC concentrations, 33-54% of individuals remained in the lowest or highest category and temporal correlations were similar to continuous measurements. Exposure to most EDCs decreased between 2009 and 2016 in a sample of individuals with impaired fasting glucose from the Dutch population. Temporal consistency was generally poor. The inconsistency in disease associations may be influenced by individual-level or temporal variation exhibited by EDCs. Our findings call for the need for repeated measurements of EDCs in observational studies before and during at-risk temporal windows for the disease.
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- 2021
6. Endocrine disrupting chemicals during diet-induced weight loss - A post-hoc analysis of the LOWER study
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André P van Beek, Bruce H. R. Wolffenbuttel, Frank N. R. van Berkum, Martijn van Faassen, Harold Snieder, Chris H. L. Thio, Jana V. van Vliet-Ostaptchouk, Konstantinos C. Makris, Ido P. Kema, Thomas P van der Meer, Center for Liver, Digestive and Metabolic Diseases (CLDM), Life Course Epidemiology (LCE), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
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Adipose tissue ,CHILDREN ,Urine ,010501 environmental sciences ,Overweight ,Endocrine Disruptors ,Medical and Health Sciences ,01 natural sciences ,Biochemistry ,Body fat percentage ,chemistry.chemical_compound ,0302 clinical medicine ,Weight loss ,Tandem Mass Spectrometry ,Medicine ,030212 general & internal medicine ,Endocrine disrupting chemicals ,General Environmental Science ,Netherlands ,INSULIN-RESISTANCE ,EXCRETION ,Obesogenic ,Phthalate ,HUMANS ,Paraben ,Environmental Pollutants ,medicine.symptom ,URINARY PHTHALATE METABOLITES ,medicine.medical_specialty ,BODY BURDEN ,Diet-induced weight loss ,Phthalic Acids ,Intervention ,03 medical and health sciences ,Internal medicine ,PARABENS ,Weight Loss ,Obesity ,EXPOSURE ,Life Style ,0105 earth and related environmental sciences ,business.industry ,Environmental Exposure ,medicine.disease ,NONPERSISTENT ENVIRONMENTAL CHEMICALS ,Diet ,BISPHENOL-A ,Endocrinology ,chemistry ,Clinical Medicine ,business ,Chromatography, Liquid - Abstract
The link between exposure to endocrine disrupting chemicals (EDCs) and the rapid increase in prevalence of obesity has recently been suggested. However, the magnitude and health impact of EDC exposure in at-risk populations remain largely unclear. In this study, we investigated the effect of a dietary intervention driven reduction in adipose tissue on the magnitude of urinary EDC exposure and mobilization, and whether higher EDC exposure leads to impaired weight loss in obese individuals. In this post-hoc analysis of the Lifestyle, OverWeight, Energy Restriction (LOWER) study from the Netherlands, 218 subjects were included. Five parabens, three bisphenols and thirteen metabolites of eight phthalates were measured in 24-h urine using LC-MS/MS, before and after three-months of a calory-restricted weight reduction intervention program. Associations between adiposity-related traits and EDCs were tested using multivariable linear regression and linear mixed effects models. A multiple testing correction based on the false discovery rate (FDR) was applied. After the 3-month intervention, urinary paraben and bisphenol excretions remained similar. Excretions of mono-butyl phthalates and most high-molecular-weight phthalates decreased, whereas mono-ethyl phthalate increased (all FDR
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- 2021
7. An epigenome-wide association study identifies multiple DNA methylation markers of exposure to endocrine disruptors
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Xia Huo, Xueling Lu, Harold Snieder, Ido P. Kema, Eliza Fraszczyk, Lude Franke, Vincent W. Bloks, André P van Beek, Thomas P van der Meer, Shuang Li, Bruce H. R. Wolffenbuttel, Xijin Xu, Jana V. van Vliet-Ostaptchouk, Martijn van Faassen, Harm-Jan Westra, Lifestyle Medicine (LM), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Center for Liver, Digestive and Metabolic Diseases (CLDM), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Stem Cell Aging Leukemia and Lymphoma (SALL), and Life Course Epidemiology (LCE)
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Epigenomics ,010504 meteorology & atmospheric sciences ,010501 environmental sciences ,Biology ,Endocrine Disruptors ,01 natural sciences ,Epigenesis, Genetic ,Epigenome ,Epigenome-wide association study ,Gene expression ,Endocrine system ,Humans ,Epigenetics ,lcsh:Environmental sciences ,0105 earth and related environmental sciences ,General Environmental Science ,Genetics ,lcsh:GE1-350 ,Metabolic trait ,Mechanism (biology) ,Methylation ,DNA Methylation ,Human exposure ,Endocrine disruptor ,Diabetes Mellitus, Type 2 ,DNA methylation ,Genome-Wide Association Study - Abstract
Background: Exposure to environmental endocrine disrupting chemicals (EDCs) may play an important role in the epidemic of metabolic diseases. Epigenetic alterations may functionally link EDCs with gene expression and metabolic traits. Objectives: We aimed to evaluate metabolic-related effects of the exposure to endocrine disruptors including five parabens, three bisphenols, and 13 metabolites of nine phthalates as measured in 24-hour urine on epigenome-wide DNA methylation. Methods: A blood-based epigenome-wide association study was performed in 622 participants from the Lifelines DEEP cohort using Illumina Infinium HumanMethylation450 methylation data and EDC excretions in 24-hour urine. Out of the 21 EDCs, 13 compounds were detected in >75% of the samples and, together with bisphenol F, were included in these analyses. Furthermore, we explored the putative function of identified methylation markers and their correlations with metabolic traits. Results: We found 20 differentially methylated cytosine-phosphate-guanines (CpGs) associated with 10 EDCs at suggestive p-value < 1 × 10−6, of which four, associated with MEHP and MEHHP, were genome-wide significant (Bonferroni-corrected p-value < 1.19 × 10−7). Nine out of 20 CpGs were significantly associated with at least one of the tested metabolic traits, such as fasting glucose, glycated hemoglobin, blood lipids, and/or blood pressure. 18 out of 20 EDC-associated CpGs were annotated to genes functionally related to metabolic syndrome, hypertension, obesity, type 2 diabetes, insulin resistance and glycemic traits. Conclusions: The identified DNA methylation markers for exposure to the most common EDCs provide suggestive mechanism underlying the contributions of EDCs to metabolic health. Follow-up studies are needed to unravel the causality of EDC-induced methylation changes in metabolic alterations.
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- 2020
8. Exposure to Endocrine Disrupting Chemicals in the Dutch general population is associated with adiposity-related traits
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Bruce H. R. Wolffenbuttel, Ido P. Kema, André P van Beek, Martijn van Faassen, Harold Snieder, Thomas P van der Meer, Jana V. van Vliet-Ostaptchouk, Center for Liver, Digestive and Metabolic Diseases (CLDM), Life Course Epidemiology (LCE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), and Lifestyle Medicine (LM)
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0301 basic medicine ,Male ,Physiology ,lcsh:Medicine ,010501 environmental sciences ,Endocrine Disruptors ,01 natural sciences ,Cohort Studies ,Environmental impact ,chemistry.chemical_compound ,Prospective cohort study ,lcsh:Science ,DUISBURG BIRTH COHORT ,Adiposity ,Netherlands ,INSULIN-RESISTANCE ,EXCRETION ,education.field_of_study ,Multidisciplinary ,Phthalate ,ENVIRONMENTAL CHEMICALS ,Middle Aged ,Metabolic syndrome ,TEMPORAL TRENDS ,Cohort ,Female ,URINARY PHTHALATE METABOLITES ,Waist Circumference ,BISPHENOL-A CONCENTRATION ,PREGNANT-WOMEN ,Cohort study ,Adult ,Waist ,Population ,Phthalic Acids ,Parabens ,MOTHER-CHILD-PAIRS ,Article ,03 medical and health sciences ,Insulin resistance ,Phenols ,Diabetes mellitus ,medicine ,Humans ,Obesity ,education ,Triglycerides ,0105 earth and related environmental sciences ,business.industry ,030111 toxicology ,lcsh:R ,Environmental Exposure ,medicine.disease ,chemistry ,lcsh:Q ,business - Abstract
Endocrine Disrupting Chemicals (EDCs) have been linked to a variety of cardiometabolic diseases. Yet, few studies have investigated the exposure to EDCs and cardiometabolic health taking lifestyle into account. We aimed to assess exposure to five parabens, three bisphenols and thirteen metabolites of in total eight phthalates in a general Dutch population and to investigate their association with cardiometabolic traits. In 662 adult subjects from the population-based Lifelines cohort, 21 EDC analytes were measured in 24-hour urine collected in 2012, using LC-MS/MS. Association analyses between cardiometabolic traits and EDC concentrations were performed using multivariate linear models adjusting for age, sex, education, smoking, diabetes, physical activity and caloric intake. Quartile analyses were performed to assess linearity. Bisphenol A, four parabens and eight phthalate metabolites were detected in 84-100% of the samples. Adjusted associations for MiBP and MBzP and adiposity-related traits were robust for multiple testing (Beta’s, BMI: 1.12, 2.52; waist circumference: 0.64, 1.56, respectively; FDR
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- 2019
9. Development and Interlaboratory Validation of Two Fast UPLC-MS-MS Methods Determining Urinary Bisphenols, Parabens and Phthalates
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Ido P. Kema, Bruce H. R. Wolffenbuttel, Jana V. van Vliet-Ostaptchouk, Hanne Frederiksen, Thomas P van der Meer, André P van Beek, Martijn van Faassen, Center for Liver, Digestive and Metabolic Diseases (CLDM), Groningen Kidney Center (GKC), Lifestyle Medicine (LM), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
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Bisphenol A ,SAMPLES ,Denmark ,Health, Toxicology and Mutagenesis ,Coefficient of variation ,Phthalic Acids ,Parabens ,UNITED-STATES ,Urine ,Endocrine Disruptors ,010501 environmental sciences ,Toxicology ,Diisodecyl phthalate ,Tandem mass spectrometry ,01 natural sciences ,METABOLITES ,Article ,Analytical Chemistry ,DISRUPTING CHEMICALS ,chemistry.chemical_compound ,Phenols ,Tandem Mass Spectrometry ,Liquid chromatography–mass spectrometry ,Humans ,Environmental Chemistry ,TANDEM MASS-SPECTROMETRY ,0105 earth and related environmental sciences ,Detection limit ,MS/MS METHOD ,Chemical Health and Safety ,Chromatography ,010401 analytical chemistry ,Phthalate ,Environmental Exposure ,QUANTIFICATION ,0104 chemical sciences ,ENVIRONMENTAL PHENOLS ,chemistry ,TEMPORAL TRENDS ,HUMAN EXPOSURE ,Environmental Pollutants ,Chromatography, Liquid - Abstract
People are constantly exposed to a wide variety of chemicals. Some of these compounds, such as parabens, bisphenols and phthalates, are known to have endocrine disrupting potencies. Over the years, these endocrine disrupting chemicals (EDCs) have been a rising cause for concern. In this study, we describe setup and validation of two methods to measure EDCs in human urine, using ultra-performance liquid chromatography tandem mass spectrometry. The phenol method determines methyl-, ethyl-, propyl-, n-butyl- and benzylparaben and bisphenol A, F and S. The phthalate method determines in total 13 metabolites of dimethyl, diethyl, diisobutyl, di-n-butyl, di(2-ethylhexyl), butylbenzyl, diiso-nonyl and diisodecyl phthalate. Runtime was 7 and 8 min per sample for phenols and phthalates, respectively. The methods were validated by the National Institute of Standards & Technology (NIST) for 13 compounds. In addition, EDCs were measured in forty 24-h urine samples, of which 12 EDCs were compared with the same samples measured in an established facility (Rigshospitalet, Copenhagen, Denmark). The intra-assay coefficient of variability (CV) was highest at 10% and inter-assay CV was highest at 12%. Recoveries ranged from 86 to 115%. The limit of detection ranged from 0.06 to 0.43 ng/mL. Of 21 compounds, 10 were detected above limit of detection in ≥93% of the samples. Eight compounds were in accordance to NIST reference concentrations. Differences in intercept were found for two compounds whereas slope differed for six compounds between our method and that used in the Danish facility. In conclusion, we set up and validated two high-throughput methods with very short runtime capable of measuring 5 parabens, 3 bisphenols and 13 different metabolites of 8 phthalates. Sensitivity of the phenol method was increased by using ammonium fluoride in the mobile phase.
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- 2019
10. Possible Obesogenic Effects of Bisphenols Accumulation in the Human Brain
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Xanthi Andrianou, Bruce H. R. Wolffenbuttel, Dick F. Swaab, Thomas P van der Meer, Jana V. van Vliet-Ostaptchouk, Pantelis Charisiadis, Konstantinos C. Makris, Wilfred F. A. den Dunnen, Academic Medical Center, Netherlands Institute for Neuroscience (NIN), Molecular Neuroscience and Ageing Research (MOLAR), Lifestyle Medicine (LM), and Center for Liver, Digestive and Metabolic Diseases (CLDM)
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endocrine system ,medicine.medical_specialty ,Bisphenol A ,Halogenation ,Bisphenol ,Hypothalamus ,lcsh:Medicine ,Endocrine Disruptors ,010501 environmental sciences ,Grey matter ,01 natural sciences ,Article ,Body Mass Index ,White matter ,03 medical and health sciences ,chemistry.chemical_compound ,Phenols ,Internal medicine ,Journal Article ,medicine ,Humans ,Obesity ,Benzhydryl Compounds ,lcsh:Science ,030304 developmental biology ,0105 earth and related environmental sciences ,0303 health sciences ,Multidisciplinary ,urogenital system ,Chemistry ,lcsh:R ,Brain ,Environmental Exposure ,Human brain ,medicine.disease ,White Matter ,medicine.anatomical_structure ,Endocrinology ,Adipose Tissue ,Environmental Pollutants ,lcsh:Q ,Body mass index ,hormones, hormone substitutes, and hormone antagonists ,Chlorophenols - Abstract
Evidence of bisphenols’ obesogenic effects on humans is mixed and inconsistent. We aimed to explore the presence of bisphenol A (BPA), bisphenol F (BPF) and chlorinated BPA (ClBPA), collectively called the bisphenols, in different brain regions and their association with obesity using post-mortem hypothalamic and white matter brain material from twelve pairs of obese (body mass index (BMI) >30 kg/m2) and normal-weight individuals (BMI 2). Mean ratios of hypothalamus:white matter for BPA, BPF and ClBPA were 1.5, 0.92, 0.95, respectively, suggesting no preferential accumulation of the bisphenols in the grey matter (hypothalamic) or white matter-enriched brain areas. We observed differences in hypothalamic concentrations among the bisphenols, with highest median level detected for ClBPA (median: 2.4 ng/g), followed by BPF (2.2 ng/g) and BPA (1.2 ng/g); similar ranking was observed for the white matter samples (median for: ClBPA-2.5 ng/g, BPF-2.3 ng/g, and BPA-1.0 ng/g). Furthermore, all bisphenol concentrations, except for white-matter BPF were associated with obesity (p
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- 2018
11. Distribution of Non-Persistent Endocrine Disruptors in Two Different Regions of the Human Brain
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Dicky Struik, Konstantinos C. Makris, Francisco Artacho-Cordón, Dick F. Swaab, Jana V. van Vliet-Ostaptchouk, Bruce H. R. Wolffenbuttel, Hanne Frederiksen, Thomas P van der Meer, Netherlands Institute for Neuroscience (NIN), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), [van der Meer, Thomas P.] Univ Groningen, Univ Med Ctr Groningen, Dept Endocrinol, NL-9713 GZ Groningen, Netherlands, [Wolffenbuttel, Bruce H. R.] Univ Groningen, Univ Med Ctr Groningen, Dept Endocrinol, NL-9713 GZ Groningen, Netherlands, [van Vliet-Ostaptchouk, Jana V.] Univ Groningen, Univ Med Ctr Groningen, Dept Endocrinol, NL-9713 GZ Groningen, Netherlands, [Artacho-Cordon, Francisco] Univ Granada, Radiol & Phys Med Dept, Ibs Granada, Granada 18016, Spain, [Swaab, Dick F.] Netherlands Inst Neurosci, NL-1105 BA Amsterdam, Netherlands, [Struik, Dicky] Univ Groningen, Univ Med Ctr Groningen, Dept Pediat, Sect Mol Metab & Nutr, NL-9713 GZ Groningen, Netherlands, [Makris, Konstantinos C.] Cyprus Univ Technol, Cyprus Int Inst Environm & Publ Hlth, CY-3041 Limassol, Cyprus, [Frederiksen, Hanne] Copenhagen Univ Hosp, Rigshosp, Dept Growth & Reprod, Blegdamsvej 9, DK-2100 Copenhagen, Denmark, Dutch Diabetes Research Foundation, National Consortium for Healthy Ageing (NCHA) (NCHA NGI), BioSHaRE-EU (Biobank Standardization and Harmonization for Research Excellence in the European Union), International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), and Danish Center on Endocrine Disrupters
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0301 basic medicine ,Male ,obesity ,Bisphenol-A ,Health, Toxicology and Mutagenesis ,lcsh:Medicine ,Pilot Projects ,phenols ,010501 environmental sciences ,Endocrine Disruptors ,01 natural sciences ,HUMAN ADIPOSE-TISSUE ,parabens ,chemistry.chemical_compound ,bisphenol-A ,ADIPONECTIN ,Tandem Mass Spectrometry ,hypothalamus ,Methylparaben ,methylparaben ,Chemistry ,Brief Report ,Brain ,ENVIRONMENTAL CHEMICALS ,ASSOCIATION ,Human brain ,Human exposure ,3. Good health ,Paraben ,Environmental chemicals ,medicine.anatomical_structure ,Hypothalamus ,PUBLIC-HEALTH ,Environmental Pollutants ,Female ,Adiponectin ,Earth and Related Environmental Sciences ,Natural Sciences ,BISPHENOL-A CONCENTRATION ,Adult ,medicine.medical_specialty ,DISORDERS ,Triclocarban ,brain ,Parabens ,TRICLOSAN ,Association ,03 medical and health sciences ,Phenols ,Internal medicine ,medicine ,Journal Article ,Endocrine system ,Humans ,Obesity ,0105 earth and related environmental sciences ,lcsh:R ,Public Health, Environmental and Occupational Health ,Bisphenol-a concentration ,Environmental Exposure ,Triclosan ,030104 developmental biology ,Endocrinology ,HUMAN EXPOSURE ,Statement ,Human adipose-tissue ,Body mass index ,Chromatography, Liquid - Abstract
Non-persistent endocrine disrupting chemicals (npEDCs) can affect multiple organs and systems in the body. Whether npEDCs can accumulate in the human brain is largely unknown. The major aim of this pilot study was to examine the presence of environmental phenols and parabens in two distinct brain regions: the hypothalamus and white-matter tissue. In addition, a potential association between these npEDCs concentrations and obesity was investigated. Post-mortem brain material was obtained from 24 individuals, made up of 12 obese and 12 normal-weight subjects (defined as body mass index (BMI) > 30 and BMI < 25 kg/m2, respectively). Nine phenols and seven parabens were measured by isotope dilution TurboFlow-LC-MS/MS. In the hypothalamus, seven suspect npEDCs (bisphenol A, triclosan, triclocarban and methyl-, ethyl-, n-propyl-, and benzyl paraben) were detected, while five npEDCs (bisphenol A, benzophenone-3, triclocarban, methyl-, and n-propyl paraben) were found in the white-matter brain tissue. We observed higher levels of methylparaben (MeP) in the hypothalamic tissue of obese subjects as compared to controls (p = 0.008). Our findings indicate that some suspected npEDCs are able to cross the blood–brain barrier. Whether the presence of npEDCs can adversely affect brain function and to which extent the detected concentrations are physiologically relevant needs to be further investigated., Jana V. van Vliet-Ostaptchouk is supported by a Diabetes Funds Junior Fellowship from the Dutch Diabetes Research Foundation (project no. 2013.81.1673). This work was supported by the National Consortium for Healthy Ageing (NCHA) (NCHA NGI Grant 050-060-810), and the European Union’s Seventh Framework program (FP7/2007-2013) through the BioSHaRE-EU (Biobank Standardization and Harmonization for Research Excellence in the European Union) project, grant agreement 261433, and by the Danish Center on Endocrine Disrupters and the International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC).
- Published
- 2017
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