Persistent organic pollutants and maternal glycemic outcomes in a diverse pregnancy cohort of overweight women

被引:10
作者
Mehta, Suril S. [1 ]
James-Todd, Tamarra [2 ,3 ]
Applebaum, Katie M. [1 ]
Bellavia, Andrea [2 ]
Coleman-Phox, Kimberly [4 ]
Adler, Nancy [5 ]
Laraia, Barbara [6 ]
Epel, Elissa [5 ]
Parry, Emily [7 ]
Wang, Miaomiao [7 ]
Park, June-Soo [7 ]
Zota, Ami R. [1 ]
机构
[1] George Washington Univ, Dept Environm & Occupat Hlth, Milken Inst Sch Publ Hlth, Washington, DC 20052 USA
[2] Harvard Univ, Dept Environm Hlth, TH Chan Sch Publ Hlth, Boston, MA USA
[3] Harvard Univ, Dept Epidemiol, TH Chan Sch Publ Hlth, Boston, MA USA
[4] Univ Calif San Francisco, Sch Med, Ctr Hlth & Community, San Francisco, CA USA
[5] Univ Calif San Francisco, Sch Med, Dept Psychiat, San Francisco, CA USA
[6] Univ Calif Berkeley, Sch Publ Hlth, Div Community Hlth & Human Dev, Berkeley, CA 94720 USA
[7] Calif Dept Tox Subst Control, Environm Chem Lab, Berkeley, CA USA
基金
美国国家卫生研究院;
关键词
GESTATIONAL DIABETES-MELLITUS; ENDOCRINE-DISRUPTING CHEMICALS; POLYBROMINATED DIPHENYL ETHERS; POLYCHLORINATED-BIPHENYLS; PERFLUOROALKYL SUBSTANCES; SERUM CONCENTRATIONS; GLUCOSE-HOMEOSTASIS; INSULIN-RESISTANCE; OH-PBDES; RISK;
D O I
10.1016/j.envres.2020.110551
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Animal and human studies suggest certain persistent organic pollutants (POPs) may impact glucose metabolism; however, few epidemiologic studies have examined environmental determinants of glycemic outcomes during pregnancy. Our objective is to evaluate associations between exposures to individual and mixture of POPs and measures of prenatal fasting glucose, insulin, and insulin resistance during pregnancy in overweight women. Methods: A cohort of overweight and obese pregnant women (N = 95) was recruited from California. Blood samples were collected during late first or second trimester (median = 16 weeks' gestation; range = 10-24 weeks). Exposures included serum concentrations of polybrominated diphenyl ethers (PBDEs) and hydroxylated metabolites (OH-PBDEs), polychlorinated biphenyls (PCBs), and polyand perfluoroalkyl substances (PFASs). Outcomes included serum concentrations of fasting plasma glucose, fasting plasma insulin, and calculated homeostatic model assessment of insulin resistance (HOMA-IR). Generalized linear models were used to evaluate cross-sectional associations between individual and aggregate POPs and mean percent difference in fasting glucose, fasting insulin, and HOMA-IR. Bayesian kernel machine regression (BKMR) was used to assess the relative importance of each exposure to the association with our outcomes, using conditional and group posterior inclusion probabilities (PIPs). Results: Study participants were racially/ethnically diverse and nearly half were below the federal poverty level. Across PBDEs and OH-PBDEs, the direction of associations with fasting glucose, fasting insulin and HOMA-IR were varied. A doubling of PCB-138, PCB-153, PCB-180, and n-ary sumation PCBs concentrations was associated with a 2.10% mmol/L (95%CI: 0.49%, 3.74%), 2.10% mmol/L (95%CI:-0.14%, 4.39%), 2.10% mmol/L (95%CI: 0.12%, 4.12%), and 2.81% mmol/L (95%CI: 0.38%, 5.31%) increase in fasting glucose, respectively. Exposure to individual PCBs was positively associated with both fasting insulin and HOMA-IR. All PFAS were inversely associated with fasting glucose, fasting insulin, and HOMA-IR. In BKMR models of fasting glucose, all four chemical classes were important contributors to the overall mixture, with PFASs identified as the most important contributor. Discussion: Prenatal PCB exposure was positively associated while certain PBDE and PFAS analytes were inversely associated with fasting glucose concentrations in overweight women. Further examination of the relationship between POPs exposure and glycemic functioning in a larger study population of women during pregnancy is warranted.
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页数:7
相关论文
共 56 条
[1]  
[Anonymous], 2000, GUIDE MEASURING HOUS
[2]   Handling of dioxin measurement data in the presence of non-detectable values: Overview of available methods and their application in the Seveso chloracne study [J].
Baccarelli, A ;
Pfeiffer, R ;
Consonni, D ;
Pesatori, AC ;
Bonzini, M ;
Patterson, DG ;
Bertazzi, PA ;
Landi, MT .
CHEMOSPHERE, 2005, 60 (07) :898-906
[3]   Effects of Adipocyte Aryl Hydrocarbon Receptor Deficiency on PCB-Induced Disruption of Glucose Homeostasis in Lean and Obese Mice [J].
Baker, Nicki A. ;
Shoemaker, Robin ;
English, Victoria ;
Larian, Nika ;
Sunkara, Manjula ;
Morris, Andrew J. ;
Walker, Mary ;
Yiannikouris, Frederique ;
Cassis, Lisa A. .
ENVIRONMENTAL HEALTH PERSPECTIVES, 2015, 123 (10) :944-950
[4]   Targeting xenobiotic receptors PXR and CAR in human diseases [J].
Banerjee, Monimoy ;
Robbins, Delira ;
Chen, Taosheng .
DRUG DISCOVERY TODAY, 2015, 20 (05) :618-628
[5]   Normalizing Metabolism in Diabetic Pregnancy: Is It Time to Target Lipids? [J].
Barrett, Helen L. ;
Nitert, Marloes Dekker ;
McIntyre, H. David ;
Callaway, Leonie K. .
DIABETES CARE, 2014, 37 (05) :1484-1493
[6]   Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression [J].
Bobb, Jennifer F. ;
Henn, Birgit Claus ;
Valeri, Linda ;
Coull, Brent A. .
ENVIRONMENTAL HEALTH, 2018, 17
[7]   Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures [J].
Bobb, Jennifer F. ;
Valeri, Linda ;
Claus Henn, Birgit ;
Christiani, David C. ;
Wright, Robert O. ;
Mazumdar, Maitreyi ;
Godleski, John J. ;
Coull, Brent A. .
BIOSTATISTICS, 2015, 16 (03) :493-508
[8]   Endocrine Disruptors: From Endocrine to Metabolic Disruption [J].
Casals-Casas, Cristina ;
Desvergne, Beatrice .
ANNUAL REVIEW OF PHYSIOLOGY, VOL 73, 2011, 73 :135-162
[9]   Maternal obesity and risk of gestational diabetes mellitus [J].
Chu, Susan Y. ;
Callaghan, William M. ;
Kim, Shin Y. ;
Schmid, Christopher H. ;
Lau, Joseph ;
England, Lucinda J. ;
Dietz, Patricia M. .
DIABETES CARE, 2007, 30 (08) :2070-2076
[10]   Recruitment and Retention of Pregnant Women for a Behavioral Intervention: Lessons from the Maternal Adiposity, Metabolism, and Stress (MAMAS) Study [J].
Coleman-Phox, Kimberly ;
Laraia, Barbara A. ;
Adler, Nancy ;
Vieten, Cassandra ;
Thomas, Melanie ;
Epel, Elissa .
PREVENTING CHRONIC DISEASE, 2013, 10