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Assessing cancer risks via seafood consumption based on arsenic metabolites in human urine

机译:基于人尿中的砷代谢物评估癌症风险

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Recently, more and more studies focused on arsenic (As) exposure through seafood rather than drinking water because seafood contains high As concentrations (Hughes, 2006). Based on non-invasive characteristics and directly related to As excretion, urinary As concentration is generally regarded as the most important biomarker (Hughes, 2006). In practice, creatinine adjustment of urinary As concentrations has been proven to be a good predictor in different populations (Hata et al., 2007). Physiologically based pharmacokinetic (PBPK) models have been extensively applied to construct the relationship between chemical concentration in the environment and in target tissues (Clewell et al., 2008). In human health risk assessment scheme, it is also important to establish the profile to illustrate dose-response relationship after exposure. The Weibull model was recommended by several studies as a precise means to describe cancer risk under long-term low-dose exposure (Liao et al., 2008). Therefore, the purpose of this study was to develop a thorough methodology which can improve our ability to estimate lifetime cancer risk through seafood consumption.
机译:最近,越来越多的研究专注于砷(AS)通过海鲜而不是饮用水,因为海鲜含有高浓度(Hughes,2006)。基于非侵入性特征和与排泄直接相关,泌尿为浓度通常被认为是最重要的生物标志物(Hughes,2006)。在实践中,已被证明是浓度的泌尿酐调整作为不同人群的良好预测因子(Hata等,2007)。基于生理基础的药代动力学(PBPK)模型已被广泛地应用于构建环境中的化学浓度与靶组织之间的关系(Clewell等,2008)。在人类健康风险评估方案中,建立概况也很重要,以说明暴露后的剂量反应关系。通过几项研究推荐威布尔模型作为一种精确的方法,以描述长期低剂量暴露下的癌症风险(Liao等,2008)。因此,本研究的目的是开发一种彻底的方法,可以通过海产消费来提高我们估计寿命癌症风险的能力。

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