Dynamical coupling of PBPK/PD and AUC-based toxicity models for arsenic in tilapia Oreochromis mossambicus from blackfoot disease area in Taiwan

Liao, Chung‐Min; Liang, Hong-Erh; Chen, Bo Ching; Singh, Sher; Tsai, Jeng‐Wei; Chou, Yun Hua; Lin, Wen Tze

doi:10.1016/j.envpol.2004.11.005

Cited by 42 publications

(19 citation statements)

References 28 publications

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“…S2, Table S2). The essential physiological and physicochemical parameters including blood volume (V), tissue/organ weight (W), tissue/organ exchange rate (Q), uptake/elimination/metabolic rate (k), gill sorption factor (a wg ), and fraction of Hg(II) dissolved in blood (f d ) can be estimated from published tilapia-related studies (Allen 1994;Liao et al 2005;Mahmoud and Mazrouh 2008;Nichols et al 1996;Thomann et al 1997;Wang et al 2007). The partition coefficients (p i ), the key PBPK model parameters, were estimated for each tissue or organ based on the experimental data by dividing Hg burden in tissues of that in blood at specific days 0.5, 1, and 7 after 0.1 mg L -1 Hg(II) exposure (Allen 1994).…”

Section: Exposure Modelmentioning

confidence: 99%

Assessing exposure risks for freshwater tilapia species posed by mercury and methylmercury

et al. 2016

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Waterborne and dietborne exposures of freshwater fish to mercury (Hg) in the forms of inorganic (Hg(II)) and organic (methylmercury or MeHg) affect their growth, development, and reproduction. However, an integrated mechanistic risk model framework to predict the impact of Hg(II)/MeHg on freshwater fish is lacking. Here, we integrated biokinetic, physiological and biogeographic data to calibrate and then establish key risk indices-hazardous quotient and exceedance risk-for freshwater tilapia species across geographic ranges of several major rivers in Taiwan. We found that Hg(II) burden was highest in kidney followed by gill, intestine, liver, blood, and muscle. Our results showed that Hg was less likely to pose mortality risk (mortality rate less than 5 %) for freshwater tilapia species. However, Hg is likely to pose the potential hazard to aquatic environments constrained by safety levels for aquatic organisms. Sensitivity analysis showed that amount of Hg accumulated in tilapia was most influenced by sediment uptake rate. Our approach opens up new possibilities for predicting future fish population health with the impacts of continued Hg exposure to provide information on which fish are deemed safe for human consumption.

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Section: Exposure Modelmentioning

confidence: 99%

Assessing exposure risks for freshwater tilapia species posed by mercury and methylmercury

et al. 2016

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“…(2) which food items are included in the diet for each species? (3) what are the concentrations of the compounds in these food items?…”

Section: Structurementioning

confidence: 99%

“…Additionally, the food basket approach is a more economical way of investigating the chemical intake via food as it minimizes the number of samples that need to be analyzed. Restrict parameter ranges, re-assess structural model, add new dataset and repeat (3) Develop and run structural model…”

Section: Structurementioning

confidence: 99%

“…The models described in this review are therefore called "bioaccumulation models" to indicate that there are currently no effect pathways involved in any marine mammal model. The combination of kinetic/dynamic (or bioaccumulation/effect) models exists for rodents or humans [1,2] and for some wildlife species [3,4], but not for marine mammals. Nevertheless, kinetic models have applications on their own in the field of risk assessment as they are a useful framework to interpret existing biomonitoring and effect studies [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Overview of the Current State-of-the-Art for Bioaccumulation Models in Marine Mammals

Weijs

Hickie

Blust

2014

Toxics

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Information regarding the (toxico)kinetics of a chemical in organisms can be integrated in mathematical equations thereby creating bioaccumulation models. Such models can reconstruct previous exposure scenarios, provide a framework for current exposures and predict future situations. As such, they are gaining in popularity for risk assessment purposes. Since marine mammals are protected, the modeling process is different and more difficult to complete than for typical model organisms, such as rodents. This review will therefore discuss the currently available models for marine mammals, address statistical issues and knowledge gaps, highlight future perspectives and provide general do"s and don"ts.

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“…The PBPK models can integrate the physiological structures of organism and physicochemical properties of toxicants and can quantitatively describe the kinetic processes of absorption, distribution, metabolism, and excretion (Krishnan and Peyret, 2009). The PBPK models have been used in several aquatic fish species subjected to various chemicals; e.g., cadmium in rainbow trout (Salmo gairdneri), dioxin in brook trout Salvelinus fontinalis (Nichols et al, 1998), 1,1,2,2-tetrachloroethane, pentachloroethane, and hexachloroethane in lake trout (Salvelinus namaycush) (Lien et al, 2001), and arsenic and copper in tilapia (Oreochromis mossambicus) (Liao et al, 2005;Chen and Liao, 2014). However, those developed PBPK models did not investigate the NP accumulation in fish.…”

Section: Physiologically-based Pharmacokinetic Modeling-kinetics Of Tmentioning

confidence: 99%

Toxicokinetic Modeling Challenges for Aquatic Nanotoxicology

Chen

2016

Front. Mar. Sci.

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Nanotoxicity has become of increasing concern since the rapid development of metal nanoparticles (NPs). Aquatic nanotoxicity depends on crucial qualitative and quantitative properties of nanomaterials that induce adverse effects on subcellular, tissue, and, organ level. The dose-response effects of size-dependent metal NPs, however, are not well investigated in aquatic organisms. In order to determine the uptake and elimination rate constants for metal NPs in the metabolically active/detoxified pool of tissues, a one-compartmental toxicokinetic model can be applied when subcellular partitioning of metal NPs data would be available. The present review is an attempt to describe the nano-characteristics of toxicokinetics and subcellular partitioning on aquatic organisms with the help of the mechanistic modeling for NP size-dependent physiochemical properties and parameters. Physiologically-based pharmacokinetic (PBPK) models can provide an effective tool to estimate the time course of NP accumulation in target organs and is useful in quantitative risk assessments. NP accumulation in fish should take into account different effects of different NP sizes to better understand tissue accumulative capacities and dynamics. The size-dependent NP partition coefficient is a crucial parameter that influences tissue accumulation levels in PBPK modeling. Further research is needed to construct the effective systems-level oriented toxicokinetic model that can provide a useful tool to develop quantitatively the robustly approximate relations that convey a better insight into the impacts of environmental metal NPs on subcellular and tissue/organ responses in aquatic organisms.

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Dynamical coupling of PBPK/PD and AUC-based toxicity models for arsenic in tilapia Oreochromis mossambicus from blackfoot disease area in Taiwan

Cited by 42 publications

References 28 publications

Assessing exposure risks for freshwater tilapia species posed by mercury and methylmercury

Assessing exposure risks for freshwater tilapia species posed by mercury and methylmercury

Overview of the Current State-of-the-Art for Bioaccumulation Models in Marine Mammals

Toxicokinetic Modeling Challenges for Aquatic Nanotoxicology

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