Lin Yu-Sheng, Hsieh Nan-Hung, Keshava Nagalakshmi, Chou Wei-Chun, Peterson Geoffrey C, Gift Jeffrey
Office of Research and Development, U.S. Environmental Protection Agency (EPA), Washington, D.C 20460, United States.
School of Veterinary Medicine and Biomedical Sciences, Texas A and M University, College Station, Texas 77843, United States.
Environ Sci Technol. 2025 Jul 1;59(25):12920-12932. doi: 10.1021/acs.est.5c00627. Epub 2025 Jun 17.
Inorganic mercury salts (iHg) are mercury compounds that lack carbon-hydrogen bonds. Exposure to iHg is associated with toxic effects, primarily shown in animal studies, yet the lack of cross-species toxicokinetic models has limited our ability to assess human health risks. This study aimed to develop and validate the first physiologically based pharmacokinetic (PBPK) model for iHg, incorporating species-specific physiological and chemical parameters to better characterize iHg kinetics in mice, rats, and humans. We included a hierarchical Markov chain Monte Carlo (MCMC) approach to address the complex nature of iHg toxicokinetics. It facilitated parameter estimation while characterizing uncertainty and variability using an extensive species-specific iHg toxicokinetic database. Our results show narrower posterior distributions for most parameters across species, suggesting reduced uncertainty compared to prior distributions. Additionally, posterior estimates for absorption and excretion somewhat differ between humans and rodents, pointing to species-specific differences. The geometric standard deviations of the estimated residual errors typically remained below 3, indicating that the model fits the experimental data adequately. This model provides a reliable framework for translating animal toxicity data to assess potential human health risks from iHg exposure. Further empirical data, such as high-dose mercury accumulation in the kidneys, could enhance this model when available.
无机汞盐(iHg)是不含碳氢键的汞化合物。接触iHg会产生毒性作用,这主要在动物研究中有所体现,但由于缺乏跨物种毒代动力学模型,我们评估人类健康风险的能力受到了限制。本研究旨在开发并验证首个针对iHg的基于生理的药代动力学(PBPK)模型,纳入物种特异性的生理和化学参数,以更好地表征小鼠、大鼠和人类体内iHg的动力学特征。我们采用了分层马尔可夫链蒙特卡罗(MCMC)方法来处理iHg毒代动力学的复杂性质。该方法有助于参数估计,同时利用广泛的物种特异性iHg毒代动力学数据库来表征不确定性和变异性。我们的结果表明,跨物种的大多数参数的后验分布更窄,这表明与先验分布相比不确定性降低。此外,人类和啮齿动物在吸收和排泄的后验估计上存在一定差异,这表明存在物种特异性差异。估计的残余误差的几何标准差通常保持在3以下,这表明该模型能够充分拟合实验数据。该模型为转化动物毒性数据以评估iHg暴露对人类健康的潜在风险提供了一个可靠的框架。当有更多经验数据(如高剂量汞在肾脏中的积累情况)时,可进一步完善该模型。