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综合风险信息系统(IRIS)评估中流行病学数据的使用。

Use of epidemiologic data in Integrated Risk Information System (IRIS) assessments.

作者信息

Persad Amanda S, Cooper Glinda S

机构信息

Office of Research and Development (8601-P), U.S. Environmental Protection Agency, 1200 Pennsylvania Ave NW Washington, DC 20460, USA.

出版信息

Toxicol Appl Pharmacol. 2008 Nov 15;233(1):137-45. doi: 10.1016/j.taap.2008.01.013. Epub 2008 Jan 31.

Abstract

In human health risk assessment, information from epidemiologic studies is typically utilized in the hazard identification step of the risk assessment paradigm. However, in the assessment of many chemicals by the Integrated Risk Information System (IRIS), epidemiologic data, both observational and experimental, have also been used in the derivation of toxicological risk estimates (i.e., reference doses [RfD], reference concentrations [RfC], oral cancer slope factors [CSF] and inhalation unit risks [IUR]). Of the 545 health assessments posted on the IRIS database as of June 2007, 44 assessments derived non-cancer or cancer risk estimates based on human data. RfD and RfC calculations were based on a spectrum of endpoints from changes in enzyme activity to specific neurological or dermal effects. There are 12 assessments with IURs based on human data, two assessments that extrapolated human inhalation data to derive CSFs and one that used human data to directly derive a CSF. Lung or respiratory cancer is the most common endpoint for cancer assessments based on human data. To date, only one chemical, benzene, has utilized human data for derivation of all three quantitative risk estimates (i.e., RfC, RfD, and dose-response modeling for cancer assessment). Through examples from the IRIS database, this paper will demonstrate how epidemiologic data have been used in IRIS assessments for both adding to the body of evidence in the hazard identification process and in the quantification of risk estimates in the dose-response component of the risk assessment paradigm.

摘要

在人体健康风险评估中,流行病学研究的信息通常用于风险评估范式的危害识别步骤。然而,在综合风险信息系统(IRIS)对许多化学物质的评估中,流行病学数据,包括观察性和实验性数据,也被用于推导毒理学风险估计值(即参考剂量[RfD]、参考浓度[RfC]、口腔癌斜率因子[CSF]和吸入单位风险[IUR])。截至2007年6月,IRIS数据库发布的545项健康评估中,有44项基于人类数据得出非癌症或癌症风险估计值。RfD和RfC的计算基于从酶活性变化到特定神经或皮肤效应等一系列终点。有12项基于人类数据的IUR评估,两项通过外推人类吸入数据得出CSF的评估,以及一项使用人类数据直接得出CSF的评估。肺癌或呼吸道癌是基于人类数据的癌症评估中最常见的终点。迄今为止,只有一种化学物质苯利用人类数据得出了所有三项定量风险估计值(即RfC、RfD以及癌症评估的剂量反应模型)。通过IRIS数据库中的实例,本文将展示流行病学数据在IRIS评估中是如何被用于在危害识别过程中增加证据主体,以及在风险评估范式的剂量反应部分中对风险估计值进行量化的。

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