Independent and combined associations of urinary arsenic exposure and serum sex steroid hormones among 6-19-year old children and adolescents in NHANES 2013–2016

Zhang, Yuanli; Xing, Hengrui; Hu, Zeyu; Xu, Wanjing; Tang, Yanling; Zhang, Jingjing; Niu, Qiang

doi:10.1016/j.scitotenv.2022.160883

Cited by 10 publications

(7 citation statements)

References 90 publications

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“…Consistent with previous recommendations, we have presented our findings without the use of sampling weights [22][23] . There are two main reasons for this approach.…”

Section: Discussionsupporting

confidence: 89%

Association between exposure to per- and polyfluoroalkyl substance and liver injury in American adults

Yan,

Zhang,

et al. 2024

J Biomed Res

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Epidemiological data is scarce regarding the association between exposure to mixtures of per-and polyfluoroalkyl substances (PFASs) and liver injury in the general populace. The current research used data from the National Health and Nutrition Examination Survey (2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018). The PFAS exposure levels were defined by the serum concentrations of PFASs with > 70% detection in samples, namely perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorohexane sulfonic acid (PFHxS), perfluorodecanoic acid (PFDeA), and perfluorooctane sulfonic acid (PFOS). Liver injury was assessed from two aspects: first, the degree of liver inflammation was determined based on serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), glutamyltransferase (GGT), and total bilirubin (TBIL) levels; second, the degree of liver fibrosis was determined based on fibrosis-4 (FIB-4) index. We assessed the associations between individual or total PFAS exposure and these outcomes using multivariable linear regression models and logistic regression models, restricted cubic splines, and weighted quantile sum regression. Among the samples of 7484 American adults, the median concentration of PFOS was the highest, followed by PFOA and PFHxS. Using multivariable linear regression, a positive correlation was observed between all PFASs and liver enzymes such as ALT, AST, and TBIL. Additionally, the weighted quantile sum model indicated an overall positive association between the five PFASs and liver injury indicators. For liver function biomarkers and liver fibrosis, PFNA and PFOS were the most heavily weighting chemicals, respectively. Our findings provide new epidemiological evidence indicating a potential association between PFAS exposure and adverse effects on liver injury biomarkers, highlighting the potentially harmful effects of PFAS exposure on liver health.

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“…Consistent with previous recommendations, we have presented our findings without the use of sampling weights [22][23] . There are two main reasons for this approach.…”

Section: Discussionsupporting

confidence: 89%

Association between exposure to per- and polyfluoroalkyl substance and liver injury in American adults

Yan,

Zhang,

et al. 2024

J Biomed Res

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“…Arsenic is an endocrine disruptor that can interfere with the synthesis, metabolism, and transport of hormones in the body 34 and has adverse effects on humans by hindering the binding of hormones and their receptors. 13 Our study found that total testosterone has a mediating role in the association between MMA and periodontitis. A recent study also indicated that MMA was positively associated with total testosterone in children and adolescents in the US population.…”

Section: Discussionmentioning

confidence: 46%

“… 9 Accumulating evidence has suggested that arsenic toxicity is governed by chemical speciation, which is mainly contributed by inorganic forms. 10 Exposure to arsenic can increase oxidative stress and inflammatory responses and cause endocrine disruption, 11 , 12 , 13 resulting in a variety of chronic diseases.…”

Section: Introductionmentioning

confidence: 99%

Associations of Urinary Total Arsenic and Arsenic Species and Periodontitis

Yang,

Wang,

Chen

et al. 2024

International Dental Journal

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“…Also, it is not enough when considering mixed exposures and their complex interactions in a simple linear regression model ( 34 , 45 ). The BKMR model, on one hand, can estimate both the interactive effects of exposures and reveal the nonlinear relationships between exposures and outcomes ( 30 , 46 , 47 ). In our analysis, blood Mg and Cu were positively associated with SUA, while blood Mn showed a negative relationship.…”

Section: Discussionmentioning

confidence: 99%

Associations between blood essential metal mixture and serum uric acid: a cross-sectional study

Wang,

Li,

Duan

et al. 2023

Front. Public Health

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IntroductionAlthough several studies have explored the associations between single essential metals and serum uric acid (SUA), the study about the essential metal mixture and the interactions of metals for hyperuricemia remains unclear.MethodsWe performed a cross-sectional study to explore the association of the SUA levels with the blood essential metal mixture, including magnesium (Mg), calcium (Ca), iron (Fe), copper (Cu), zinc (Zn), manganese (Mn) in Chinese community-dwelling adults (n=1039). The multivariable linear regression, the weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) were conducted to estimate the associations of blood essential metals with SUA levels and the BKMR model was also conducted to estimate the interactions of the essential metals on SUA.ResultsIn the multivariable linear regression, the association of blood Mg, Mn, and Cu with SUA was statistically significant, both in considering multiple metals and a single metal. In WQS regression [β=13.59 (95%CI: 5.57, 21.60)] and BKMR models, a positive association was found between the mixture of essential metals in blood and SUA. Specifically, blood Mg and Cu showed a positive association with SUA, while blood Mn showed a negative association. Additionally, no interactions between individual metals on SUA were observed.DiscussionIn conclusion, further attention should be paid to the relationship between the mixture of essential metals in blood and SUA. However, more studies are needed to confirm these findings.

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Independent and combined associations of urinary arsenic exposure and serum sex steroid hormones among 6-19-year old children and adolescents in NHANES 2013–2016

Cited by 10 publications

References 90 publications

Association between exposure to per- and polyfluoroalkyl substance and liver injury in American adults

Association between exposure to per- and polyfluoroalkyl substance and liver injury in American adults

Associations of Urinary Total Arsenic and Arsenic Species and Periodontitis

Associations between blood essential metal mixture and serum uric acid: a cross-sectional study

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