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评估砷污染海鲜相关的癌症风险。

Assessing the cancer risk associated with arsenic-contaminated seafood.

机构信息

Department of Post-Modern Agriculture, MingDao University, Changhua, Taiwan, ROC.

出版信息

J Hazard Mater. 2010 Sep 15;181(1-3):161-9. doi: 10.1016/j.jhazmat.2010.04.112. Epub 2010 May 4.

Abstract

Tens of millions of people worldwide ingest excessive amounts of arsenic (As) through drinking water and food. The dietary intake of seafood is the major As exposure route in humans and can cause As-related adverse health effects including cancers. The aim of this study was to quantify potential cancer risks of As exposure for children and adults through seafood consumption. By coupling the age-specific physiologically based pharmacokinetic (PBPK) model and a Weibull-based dose-response function, a more accurate estimate of urinary arsenic metabolites could be achieved to better characterize potential cancer risks. The simulation results show that the proportion of inorganic As, monomethylarsonic acid (MMA), and dimethylarsinic acid (DMA) in human urine are estimated to total 6.7, 26.9, and 66.4% for children, and 6.2, 27.4, and 66.4% for adults, respectively. The estimated median cumulative cancer incidence ratios were respectively 2.67x10(-6) and 3.83x10(-6) for children and adults, indicating a low cancer risk for local residents exposed to As through the consumption of seafood. However, it is necessary to incorporate other exposure routes into the model to make it more realistic. The methodology proposed here can not only be applied to calculate the concentrations of As metabolites in urine, but also to provide a direct estimation of adverse health effects caused by the calculated internal concentrations.

摘要

全球数以千万计的人通过饮用水和食物摄入过量的砷 (As)。食用海鲜是人类摄入砷的主要途径,可能导致与砷相关的健康不良影响,包括癌症。本研究的目的是通过海鲜消费来量化儿童和成人砷暴露的潜在癌症风险。通过结合特定年龄的基于生理学的药代动力学 (PBPK) 模型和基于 Weibull 的剂量反应函数,可以更准确地估计尿液砷代谢物,从而更好地描述潜在的癌症风险。模拟结果表明,儿童尿液中无机砷、一甲基砷酸 (MMA) 和二甲基砷酸 (DMA) 的比例估计分别为 6.7%、26.9%和 66.4%,而成人分别为 6.2%、27.4%和 66.4%。儿童和成人的估计中位累积癌症发病率比值分别为 2.67x10(-6) 和 3.83x10(-6),表明当地居民通过食用海鲜摄入砷的癌症风险较低。然而,有必要将其他暴露途径纳入模型,使其更符合实际情况。这里提出的方法不仅可以用于计算尿液中砷代谢物的浓度,还可以直接估计计算得出的体内浓度所导致的健康不良影响。

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