著者

今井 秀樹 水野 佑紀 Cindy Rahman AISYAH 増田 桃佳 小西 祥子

出版者

一般社団法人日本衛生学会

雑誌

日本衛生学雑誌 (ISSN:00215082)

巻号頁・発行日

vol.78, pp.22009, 2023 (Released:2023-06-08)

参考文献数

44

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There are several basic prerequisites for the risk assessment of combined exposures to pesticides and dioxins using human health effects as the endpoint. First, all the target chemical substances exert the same toxicity to humans through the same mechanisms. Second, there is a linear dose–response relationship between the toxicity and effects of individual chemicals. With these two prerequisites, the effects of combined exposures are estimated as the sum of the toxicities of individual chemicals. For example, the toxicities of dioxins are calculated using their toxic equivalent quantities (TEQ) by considering the assigned toxic equivalent factor (TEF) of 2,3,7,8-tetrachlorodibenzo-p-dioxin (2,3,7,8-TCDD) set individually from their isomers and homologs. In conventional epidemiological studies, when the impact of each of multiple chemical substances is examined, methods such as multiple regression analysis or using a generalized linear model (GLM) have been used on the basis of the same prerequisites. However, in practice, some of the chemicals exhibit collinearity in their effects or do not show a linear dose–response relationship. In recent years, there have been several methods developed in the field of machine learning being applied to epidemiological research. Typical examples were methods using Bayesian kernel machine regression (BKMR) and weighted quantile sum (WQS), and the shrinkage method, i.e., using the least absolute shrinkage and selection operator (Lasso) and elastic network model (ENM). In the future, while taking into account the findings of experimental studies in biology, epidemiology, and other fields, it is expected that various methods will be applied and selected.

著者

水野 佑紀 藤森 英治 吉永 淳

出版者

日本微量元素学会

雑誌

Biomedical Research on Trace Elements (ISSN:0916717X)

巻号頁・発行日

vol.28, no.4, pp.154-161, 2018-02-28 (Released:2018-04-10)

参考文献数

9

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Urinary cadmium (Cd) concentration has been used as a biomarker of long-term exposure to this metal in the previous researches. ICP mass spectrometry (ICP-MS) has become a method of choice for measuring urinary Cd concentrations, however, spectral interference from molybdenum oxide (MoO) has to be removed/corrected for accurate analysis. This study evaluated (1) MoO spectral interference in urinary Cd determination by ICP-MS, and (2) the performance of chelate-resin solid phase extraction (SPE) for removal of the interference. Cadmium concentrations in human urine certified reference materials and human urine samples from a male subject were determined by ICP-MS with mathematical MoO interference correction and ICP-MS preceded by SPE, as well as those by electrothermal atomic absorption spectrometry (ETAAS). The sensitivity and accuracy of the determination of urinary Cd was generally satisfactory for all the 3 methods; however, ICP-MS without SPE was found to give a deviated Cd concentrations for urine samples with higher Mo/Cd ratio due to uncertainty in interference correction. It was concluded that ICP-MS with mathematical interference correction is suitable as a routine method for measuring urinary Cd concentrations, but ICP-MS with SPE can be a method of choice for urine with high Mo/Cd ratio and for highly sensitive and accurate urinary Cd analysis.