Stable Mercury Isotopes in Polished Rice (<i>Oryza sativa</i> L.) and Hair from Rice Consumers

Rothenberg, Sarah E.; Yin, Runsheng; Hurley, James P.; Krabbenhoft, David P.; Ismawati, Yuyun; Hong, Chuan; Donohue, Alexis

doi:10.1021/acs.est.7b01039

Cited by 32 publications

(24 citation statements)

References 40 publications

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“…Blood (~0.5 g) was digested in 4 mL of hydrochloric acid (HCl) and 1 mL of nitric acid (HNO 3 ) overnight. For stool, meconium, and hair samples, hot digestion was used (Rothenberg et al, 2016(Rothenberg et al, , 2017. Stool (~0.75 g) and meconium (~1.2 g) were digested in 5 mL of freshly prepared sulfuric acid (H 2 SO 4 ):HNO 3 [3:7 (v/v)], while hair (~0.02 g) was digested in HNO 3 :HCL [(3:1 (v/v)].…”

Section: Laboratory Analysesmentioning

confidence: 99%

Longitudinal changes during pregnancy in gut microbiota and methylmercury biomarkers, and reversal of microbe-exposure correlations

Rothenberg

Wagner

Hamidi

et al. 2019

Environmental Research

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Objective: Gut microorganisms contribute to the metabolism of environmental toxicants, including methylmercury (MeHg). Our main objective was to investigate whether associations between biomarkers for prenatal MeHg exposure and maternal gut microbiota differed between early and late gestation.Methods: Maternal blood and stool samples were collected during early (8.3-17 weeks, n=28) and late (27-36 weeks, n=24) gestation. Total mercury and MeHg concentrations were quantified in biomarkers, and inorganic mercury was estimated by subtraction. The diversity and structure of the gut microbiota were investigated using 16S rRNA gene profiling (n=52). Biomarkers were dichotomized, and diversity patterns were compared between high/low mercury concentrations. Spearman's correlation was used to assess bivariate associations between MeHg biomarkers (stool, blood, and meconium), and 23 gut microbial taxa (genus or family level, >1% average relative abundance).Results: Within-person and between-person diversity patterns in gut microbiota differed between early/late gestation. The overall composition of the microbiome differed between high/low MeHg concentrations (in blood and stool) during early gestation, but not late gestation. Ten (of 23) taxa were significantly correlated with MeHg biomarkers (increasing or decreasing); however,

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Section: Laboratory Analysesmentioning

confidence: 99%

Longitudinal changes during pregnancy in gut microbiota and methylmercury biomarkers, and reversal of microbe-exposure correlations

Rothenberg

Wagner

Hamidi

et al. 2019

Environmental Research

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“…In adjusted models, recent consumption of rice and/or mixed rice dishes was associated with THg and MeHg among seafood consumers and mixed rice dishes were associated with THg and UHg among non-seafood consumers. Numerous studies have been able to quantify mercury concentrations of concern in rice and rice-containing cereals ( 29 , 30 , 56 – 58 ). Several studies have also identified significant associations of rice with mercury biomarker concentrations or modeled mercury exposures in populations with substantial seafood consumption ( 33 , 59 ), although an analysis of the Korean Health and Nutrition Examination Survey did not observe an association between blood mercury and rice consumption ( 38 ).…”

Section: Discussionmentioning

confidence: 99%

Seafood, wine, rice, vegetables, and other food items associated with mercury biomarkers among seafood and non-seafood consumers: NHANES 2011–2012

Wells

Kopylev

Nachman

et al. 2020

J Expo Sci Environ Epidemiol

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Fish/seafood consumption is a source of mercury; other dietary sources are not well described. This cross-sectional study used National Health and Nutrition Examination Survey (NHANES) 2011–2012 data. Participants self-reported consuming fish/seafood (N=5427) or not (N=1770) within the past 30 days. Whole blood total mercury (THg), methylmercury (MeHg) and urinary mercury (UHg) were determined. Diet was assessed using 24-hour recall. Adjusted regression models predicted mercury biomarker concentrations with recent food consumption while controlling for age, sex, education, and race/ethnicity. Geometric mean THg was 0.89 μg/L (95% confidence interval (CI): 0.78, 1.02) (seafood consumers) and 0.31 μg/L (95% CI: 0.28, 0.34) (non-seafood consumers); MeHg and UHg concentrations follow similar patterns. In adjusted regressions among seafood consumers, significant associations were observed between mercury biomarkers with multiple foods, including fish/seafood, wine, rice, vegetables/vegetable oil, liquor and beans/nuts/soy. Among non-seafood consumers, higher THg was significantly associated with mixed rice dishes, vegetables/vegetable oil, liquor and approached statistical significance with wine ( p <0.10); higher MeHg was significantly associated with wine and higher UHg was significantly associated with mixed rice dishes. Fish/seafood consumption is the strongest dietary predictor of mercury biomarker concentrations; however, consumption of wine, rice, vegetables/vegetable oil, or liquor may also contribute, especially among non-seafood consumers.

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“…The larger fraction of iHg or the smaller %MeHg in the consumed food, the greater the MDF offsets could be. 13 , 99 This highlights the importance of incorporating Hg speciation of both human biomarkers and exposure sources when interpreting δ 202 Hg in human biomarkers.…”

Section: Mercury Isotope Dynamics In Biotamentioning

confidence: 99%

Internal Dynamics and Metabolism of Mercury in Biota: A Review of Insights from Mercury Stable Isotopes

Kwon

Poulin

et al. 2022

Environ. Sci. Technol.

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Monitoring mercury (Hg) levels in biota is considered an important objective for the effectiveness evaluation of the Minamata Convention. While many studies have characterized Hg levels in organisms at multiple spatiotemporal scales, concentration analyses alone often cannot provide sufficient information on the Hg exposure sources and internal processes occurring within biota. Here, we review the decadal scientific progress of using Hg isotopes to understand internal processes that modify the speciation, transport, and fate of Hg within biota. Mercury stable isotopes have emerged as a powerful tool for assessing Hg sources and biogeochemical processes in natural environments. A better understanding of the tissue location and internal mechanisms leading to Hg isotope change is key to assessing its use for biomonitoring. We synthesize the current understanding and uncertainties of internal processes leading to Hg isotope fractionation in a variety of biota, in a sequence of better to less studied organisms (i.e., birds, marine mammals, humans, fish, plankton, and invertebrates). This review discusses the opportunities and challenges of using certain forms of biota for Hg source monitoring and the need to further elucidate the physiological mechanisms that control the accumulation, distribution, and toxicity of Hg in biota by coupling new techniques with Hg stable isotopes.

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Stable Mercury Isotopes in Polished Rice (Oryza sativa L.) and Hair from Rice Consumers

Cited by 32 publications

References 40 publications

Longitudinal changes during pregnancy in gut microbiota and methylmercury biomarkers, and reversal of microbe-exposure correlations

Longitudinal changes during pregnancy in gut microbiota and methylmercury biomarkers, and reversal of microbe-exposure correlations

Seafood, wine, rice, vegetables, and other food items associated with mercury biomarkers among seafood and non-seafood consumers: NHANES 2011–2012

Internal Dynamics and Metabolism of Mercury in Biota: A Review of Insights from Mercury Stable Isotopes

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