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

Mehta, Suril; James‐Todd, Tamarra; Applebaum, Katie M.; Bellavia, Andrea; Coleman‐Phox, Kimberly; Adler, Nancy E.; Laraia, Barbara A.; Epel, Elissa S.; Parry, Emily; Wang, Miaomiao; Park, June-Soo; Zota, Ami R.

doi:10.1016/j.envres.2020.110551

Cited by 12 publications

(5 citation statements)

References 52 publications

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“…Only two studies (18%) reported negative associations [ 68 , 70 ], though levels of PFAS were lower in their study cohort compared to others examining this association (Supplemental Table 2 ). Additionally, the Mehta et al study only included overweight and obese pregnant women enrolled in a stress-reduction intervention as a means to control weight gain and therefore this cohort may not reflect the general population [ 70 ]. There was evidence of nonmonotonic associations in the case of PFAS and glucose biomarkers, though these were ultimately null associations after adjustment for confounders (Supplemental Table 4 ).…”

Section: Pfas Exposure and Risk Of Gestational Diabetes Mellitus (Gdm) Development And Candidate Biomarkers: Evidence In The Literaturementioning

confidence: 84%

“…Chan et al examined the association of the molar sum of PFHxS, PFOA, and PFOS with hypothyroxinemia in pregnant women but found no additive or synergistic effect, as compared to analyzing each compound alone [ 77 ]. Three studies [ 58 , 70 , 80 ] used Bayesian Kernel Machine Regression (BKMR) as a statistical approach to determine the PFAS mixture effect while also providing associations for each compound in the mixture to understand which are the main drivers of the overall association [ 112 ]. Correlations between mixture components are also taken into account [ 112 ].…”

Section: Discussionmentioning

confidence: 99%

“…Eleven epidemiological studies reported on the association of PFAS with glucose and insulin biomarkers in pregnant women [ 56 – 58 , 60 , 61 , 64 , 65 , 67 – 70 ], with eight (73%) finding a positive association, depending on the PFAS [ 56 – 58 , 60 , 64 , 65 , 67 , 69 ] (Table 1 , Supplemental Table 4 ). Only two studies (18%) reported negative associations [ 68 , 70 ], though levels of PFAS were lower in their study cohort compared to others examining this association (Supplemental Table 2 ). Additionally, the Mehta et al study only included overweight and obese pregnant women enrolled in a stress-reduction intervention as a means to control weight gain and therefore this cohort may not reflect the general population [ 70 ].…”

Section: Pfas Exposure and Risk Of Gestational Diabetes Mellitus (Gdm) Development And Candidate Biomarkers: Evidence In The Literaturementioning

confidence: 99%

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A pathway level analysis of PFAS exposure and risk of gestational diabetes mellitus

et al. 2021

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Per- and polyfluoroalkyl substances (PFAS) have been found to be associated with gestational diabetes mellitus (GDM) development, a maternal health disorder in pregnancy with negative effects that can extend beyond pregnancy. Studies that report on this association are difficult to summarize due to weak associations and wide confidence intervals. One way to advance this field is to sharpen the biologic theory on a causal pathway behind this association, and to measure it directly by way of molecular biomarkers. The aim of this review is to summarize the literature that supports a novel pathway between PFAS exposure and GDM development. Epidemiological studies demonstrate a clear association of biomarkers of thyroid hormones and glucose metabolism with GDM development. We report biologic plausibility and epidemiologic evidence that PFAS dysregulation of maternal thyroid hormones and thyrotropin (TSH) may disrupt glucose homeostasis, increasing the risk of GDM. Overall, epidemiological studies demonstrate that PFAS were positively associated with TSH and negatively with triiodothyronine (T3) and thyroxine (T4). PFAS were generally positively associated with glucose and insulin levels in pregnancy. We propose dysregulation of thyroid function and glucose metabolism may be a critical and missing component in the accurate estimation of PFAS on the risk of GDM.

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Section: Pfas Exposure and Risk Of Gestational Diabetes Mellitus (Gdm) Development And Candidate Biomarkers: Evidence In The Literaturementioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Pfas Exposure and Risk Of Gestational Diabetes Mellitus (Gdm) Development And Candidate Biomarkers: Evidence In The Literaturementioning

confidence: 99%

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A pathway level analysis of PFAS exposure and risk of gestational diabetes mellitus

et al. 2021

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“…When the full-text reports were obtained for these 82 records, we excluded 62 after documenting the reason for exclusion and included 20 reports in this review. [6][7][8][9][10][11][34][35][36][37][38][39][40][41][42][43][44][45][46][47] The process of selection of reports is shown in Figure 1.…”

Section: Resultsmentioning

confidence: 99%

Gestational diabetes mellitus in relation to serum per- and polyfluoroalkyl substances: A scoping review to evaluate the need for a new systematic review

Aali,

Porter,

Hoffmann

et al. 2023

F1000Res

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Background Per- and polyfluoroalkyl substances (PFAS) were used or are being used in the manufacturing of products, including consumer-use products. The resulting environmental contamination has led to widespread human exposure. This review aimed to scope the characteristics of evidence covered and applied methodology of evidence to understand -- regardless of any results on the association of gestational diabetes mellitus (GDM) and PFAS -- if a new systematic review would be justified. Methods We systematically identified reports investigating associations of PFAS with GDM following a pre-specified and pre-registered PECO framework and protocol. Results The previous systematic reviews included 8-11 reports and either conducted meta-analyses stratified by comparator, analyzed results based on only high and low exposure categories, or pooled results across comparators. Included 20 reports presented data on 24 PFAS with PFOA, PFOS, PFHxS, PFNA, and PFDA being examined in almost all. The comparators employed were heterogeneous across the reports. Conclusions Because data from at least one new report on GDM is available since the previous systematic reviews and heterogeneous comparators, an updated systematic review using SWiM could add value to the literature.

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“…Regarding studies on PBDE metabolites, one cross-sectional study was identified that investigated the potential effect of OH-PBDEs and endpoints related to diabetes. Mehta et al (2021), including a group of overweight and obese pregnant women (n = 95, USA), assessed the association between PBDEs and OH-PBDEs (5-OH-BDE-47, 6-OH-BDE-47) among other contaminants and fasting plasma glucose, fasting plasma insulin, and HOMA-IR. In the model assessing fasting plasma glucose in association with the doubling of 5-OH-BDE-47 adjusting for other pollutants in mixture, a statistically significant inverse association was observed (% change = −0.78, 95% CI: −1.48, −0.08).…”

Section: Diabetesmentioning

confidence: 99%

Update of the risk assessment of polybrominated diphenyl ethers (PBDEs) in food

Schrenk,

Bignami,

Bodin

et al. 2024

EFS2

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The European Commission asked EFSA to update its 2011 risk assessment on polybrominated diphenyl ethers (PBDEs) in food, focusing on 10 congeners: BDE‐28, ‐47, ‐49, ‐99, ‐100, ‐138, ‐153, ‐154, ‐183 and ‑209. The CONTAM Panel concluded that the neurodevelopmental effects on behaviour and reproductive/developmental effects are the critical effects in rodent studies. For four congeners (BDE‐47, ‐99, ‐153, ‐209) the Panel derived Reference Points, i.e. benchmark doses and corresponding lower 95% confidence limits (BMDLs), for endpoint‐specific benchmark responses. Since repeated exposure to PBDEs results in accumulation of these chemicals in the body, the Panel estimated the body burden at the BMDL in rodents, and the chronic intake that would lead to the same body burden in humans. For the remaining six congeners no studies were available to identify Reference Points. The Panel concluded that there is scientific basis for inclusion of all 10 congeners in a common assessment group and performed a combined risk assessment. The Panel concluded that the combined margin of exposure (MOET) approach was the most appropriate risk metric and applied a tiered approach to the risk characterisation. Over 84,000 analytical results for the 10 congeners in food were used to estimate the exposure across dietary surveys and age groups of the European population. The most important contributors to the chronic dietary Lower Bound exposure to PBDEs were meat and meat products and fish and seafood. Taking into account the uncertainties affecting the assessment, the Panel concluded that it is likely that current dietary exposure to PBDEs in the European population raises a health concern.

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

Cited by 12 publications

References 52 publications

A pathway level analysis of PFAS exposure and risk of gestational diabetes mellitus

A pathway level analysis of PFAS exposure and risk of gestational diabetes mellitus

Gestational diabetes mellitus in relation to serum per- and polyfluoroalkyl substances: A scoping review to evaluate the need for a new systematic review

Update of the risk assessment of polybrominated diphenyl ethers (PBDEs) in food

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