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Yang F, Zhang M, Jin YG, Chen JC, Duan MH, Liu Y, Li ZE, Li XP, Yang F. Development and Application of a Physiologically Based Pharmacokinetic Model for Diclazuril in Broiler Chickens. Animals (Basel) 2023; 13:ani13091512. [PMID: 37174549 PMCID: PMC10177140 DOI: 10.3390/ani13091512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 04/25/2023] [Accepted: 04/27/2023] [Indexed: 05/15/2023] Open
Abstract
Withdrawal periods for diclazuril in broilers have traditionally been determined through regression analysis. However, over the last two decades, the physiologically based pharmacokinetic (PBPK) model has gained prominence as a predictive tool for veterinary drug residues, which offers an alternative method for establishing appropriate withdrawal periods for veterinary drugs. In this current study, a flow-limited PBPK model was developed to predict diclazuril concentrations in broilers following long-duration administration via medicated feed and water. This model consists of nine compartments, including arterial and venous plasma, lung, muscle, skin + fat, kidney, liver, intestine contents, and the rest of the body compartment. Physiological parameters such as tissue weights (Vcxx) and blood flow (Qcxx) were gathered from published studies, and tissue/plasma partition coefficients (Pxx) were calculated through the area method or parameter optimization. Published diclazuril concentrations were compared to the predicted values, indicating the accuracy and validity of the model. The sensitivity analysis showed that parameters associated with cardiac output, drug absorption, and elimination significantly affected diclazuril concentrations in the muscle. Finally, a Monte Carlo analysis, consisting of 1000 iterations, was conducted to calculate the withdrawal period. Based on the Chinese MRL values, we calculated a withdrawal period of 0 days for both recommended dosing regimens (through mediated water and feed at concentrations of 0.5-1 mg/L and 1 mg/kg, respectively). However, based on the European MRLs, longer periods were determined for the mediated feed dosing route. Our model provides a foundation for scaling other coccidiostats and poultry species.
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Affiliation(s)
- Fang Yang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Mei Zhang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Yang-Guang Jin
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Jun-Cheng Chen
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Ming-Hui Duan
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Yue Liu
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Ze-En Li
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Xing-Ping Li
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
| | - Fan Yang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang 471023, China
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Yu Y, Dong L, Zhang L, Gan J, Peng J, Liu T, Chen J, Lu X, He L, Cheng B. Effect of flowing water on the pharmacokinetic properties of norfloxacin in channel catfish (
Ictalurus punctatus
) after single‐dose oral administration. Vet Med Sci 2023; 9:1201-1210. [PMID: 37002647 DOI: 10.1002/vms3.1108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 12/21/2022] [Accepted: 02/19/2023] [Indexed: 04/04/2023] Open
Abstract
BACKGROUND The recirculating aquaculture system (RAS) is a widely used, water-saving and efficient aquaculture model. However, bacterial diseases are common in farmed fish reared at high densities. Although antibiotics effectively treat these diseases, developing efficient methods to increase drug clearance in fish and decrease the concentrations of antibiotic residues in aquatic products is essential. OBJECTIVES This study evaluates the effect of flowing water in the RAS on norfloxacin (NOR) pharmacokinetics in channel catfish (Ictalurus punctatus). METHODS Channel catfish were randomly divided into the control group (RAS group) and the experimental group (flow-through aquaculture system group) (120 individuals/group). A NOR dose of 20 mg/kg was then orally administered to the fish. Plasma, muscle, liver and kidney samples were collected up to 168 h after treatment. NOR concentrations were measured using liquid chromatography-mass spectrometry, and pharmacokinetic parameters were calculated using a non-compartmental method. RESULTS Flowing water had a significant effect on the plasma pharmacokinetics and tissue distribution of NOR, increasing NOR clearance in the kidney, muscle and plasma. The time to maximum concentration of NOR was shorter in the plasma and longer in the kidney and liver. Moreover, flowing water increased the maximum concentration of NOR in the kidney, muscle and plasma and decreased the area under the concentration-time curve from time 0 to the last measurable concentration in the liver and plasma. Flowing water decreased the withdrawal period in muscle from 10 to 6 days. CONCLUSIONS These results indicate that flowing water can potentially increase NOR clearance in channel catfish.
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Affiliation(s)
- Yali Yu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Lixue Dong
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Lang Zhang
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Jinhua Gan
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Jie Peng
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Ting Liu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Jianwu Chen
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Xiaorong Lu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Li He
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences Wuhan China
- Key Laboratory of Control of Quality and Safety for Aquatic Products Ministry of Agriculture and Rural Affairs Wuhan China
| | - Bo Cheng
- Quality and Standards Research Center Chinese Academy of Fishery Sciences Beijing China
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Building a Human Physiologically Based Pharmacokinetic Model for Aflatoxin B1 to Simulate Interactions with Drugs. Pharmaceutics 2023; 15:pharmaceutics15030894. [PMID: 36986755 PMCID: PMC10053806 DOI: 10.3390/pharmaceutics15030894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 03/12/2023] Open
Abstract
Mycotoxins such as aflatoxin B1 (AFB1) are secondary fungal metabolites present in food commodities and part of one’s daily exposure, especially in certain regions, e.g., sub-Saharan Africa. AFB1 is mostly metabolised by cytochrome P450 (CYP) enzymes, namely, CYP1A2 and CYP3A4. As a consequence of chronic exposure, it is interesting to check for interactions with drugs taken concomitantly. A physiologically based pharmacokinetic (PBPK) model was developed based on the literature and in-house-generated in vitro data to characterise the pharmacokinetics (PK) of AFB1. The substrate file was used in different populations (Chinese, North European Caucasian and Black South African), provided by SimCYP® software (v21), to evaluate the impact of populations on AFB1 PK. The model’s performance was verified against published human in vivo PK parameters, with AUC ratios and Cmax ratios being within the 0.5–2.0-fold range. Effects on AFB1 PK were observed with commonly prescribed drugs in South Africa, leading to clearance ratios of 0.54 to 4.13. The simulations revealed that CYP3A4/CYP1A2 inducer/inhibitor drugs might have an impact on AFB1 metabolism, altering exposure to carcinogenic metabolites. AFB1 did not have effects on the PK of drugs at representative exposure concentrations. Therefore, chronic AFB1 exposure is unlikely to impact the PK of drugs taken concomitantly.
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Notenboom S, Punt A, Hoogenveen R, Zeilmaker MJ, Hoogenboom RLAP, Bokkers BGH. A congener-specific modelling approach for the transfer of polychlorinated dibenzo-p-dioxins and dibenzofurans and dioxin-like polychlorinated biphenyls from feed to eggs of laying hens. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2023; 40:96-109. [PMID: 36395382 DOI: 10.1080/19440049.2022.2137301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Calibration of a kinetic model for the transfer of PCDD/Fs and dl-PCBs from feed to the hen's body and eggs was thus far restricted to the total TEQ concentration, i.e. the summed concentrations of PCDD/Fs and dl-PCBs expressed in terms of equivalents of 2,3,7,8-TCDD. However, this approach may lead to over- or underestimation of the transfer if the mixture contains congeners with kinetic characteristics which differ considerably from those used in such a model. This paper extends a previous transfer model of PCDD/Fs and dl-PCBs from feed to egg yolk fat and abdominal fat of high production laying hens, based on the total TEQ approach, to the level of individual congeners. Both modelling approaches are compared and the new approach is presented as a webtool application. This congener-specific approach enabled the calibration of 25 of the 29 relevant PCDD/F and dl-PCB congeners with respect to their individual transfer characteristics to body fat and egg yolk fat and their clearance from the body. Limitations of the available experimental data prevented the calibration of 1,2,3,4,6,7,8-HpCDD, OCDD, OCDF and PCB 123. The fraction transferred to egg yolk fat after long-term daily intake of contaminated feed was found to be at least 0.78 for 2,3,7,8-TCDD, 0.75 for PeCDD, 0.42-0.61 for HxCDDs, 0.70 for 2,3,7,8-TCDF, 0.71 for PeCDF, 0.54-0.60 for HxCDFs, 0.18-0.24 for HpCDFs and 0.89-1.00 for dl-PCBs. Various experimental and feed incident mixtures were used to compare the total TEQ- model with the congener-specific approach. An overestimation of the transfer by the total TEQ method was shown in particular for mixtures with a substantial contribution of hexa-, hepta- and octa-PCDD/Fs to the total TEQ level.
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Affiliation(s)
- Sylvia Notenboom
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Ans Punt
- Wageningen Food Safety Research (WFSR), Wageningen, The Netherlands
| | - Rudolf Hoogenveen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Marco J Zeilmaker
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | | | - Bas G H Bokkers
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
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5
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Lootens O, Vermeulen A, Croubels S, De Saeger S, Van Bocxlaer J, De Boevre M. Possible Mechanisms of the Interplay between Drugs and Mycotoxins-Is There a Possible Impact? Toxins (Basel) 2022; 14:toxins14120873. [PMID: 36548770 PMCID: PMC9787578 DOI: 10.3390/toxins14120873] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 12/15/2022] Open
Abstract
Mycotoxin contamination is a global food safety issue leading to major public health concerns. Repeated exposure to multiple mycotoxins not only has repercussions on human health but could theoretically also lead to interactions with other xenobiotic substances-such as drugs-in the body by altering their pharmacokinetics and/or pharmacodynamics. The combined effects of chronic drug use and mycotoxin exposure need to be well understood in order to draw valid conclusions and, in due course, to develop guidelines. The aim of this review is to focus on food contaminants, more precisely on mycotoxins, and drugs. First, a description of relevant mycotoxins and their effects on human health and metabolism is presented. The potential for interactions of mycotoxins with drugs using in vitro and in vivo animal experiments is summarized. Predictive software tools for unraveling mycotoxin-drug interactions are proposed and future perspectives on this emerging topic are highlighted with a view to evaluate associated risks and to focus on precision medicine. In vitro and in vivo animal studies have shown that mycotoxins affect CYP450 enzyme activity. An impact from drugs on mycotoxins mediated via CYP450-enzymes is plausible; however, an impact of mycotoxins on drugs is less likely considering the much smaller dose exposure to mycotoxins. Drugs that are CYP450 perpetrators and/or substrates potentially influence the metabolism of mycotoxins, metabolized via these CYP450 enzymes. To date, very little research has been conducted on this matter. The only statistically sound reports describe mycotoxins as victims and drugs as perpetrators in interactions; however, more analysis on mycotoxin-drug interactions needs to be performed.
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Affiliation(s)
- Orphélie Lootens
- Centre of Excellence in Mycotoxicology and Public Health, Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- Laboratory of Medical Biochemistry and Clinical Analysis, Department of Bioanalysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- MYTOX-SOUTH, International Thematic Network, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- Correspondence: (O.L.); (M.D.B.)
| | - An Vermeulen
- Laboratory of Medical Biochemistry and Clinical Analysis, Department of Bioanalysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Siska Croubels
- MYTOX-SOUTH, International Thematic Network, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- Laboratory of Pharmacology and Toxicology, Department of Pathobiology, Pharmacology and Zoological Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820 Merelbeke, Belgium
| | - Sarah De Saeger
- Centre of Excellence in Mycotoxicology and Public Health, Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- MYTOX-SOUTH, International Thematic Network, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- Department of Food Technology, Faculty of Science, University of Johannesburg, Doornfontein Campus, P.O. Box 17011, Gauteng 2028, South Africa
| | - Jan Van Bocxlaer
- Laboratory of Medical Biochemistry and Clinical Analysis, Department of Bioanalysis, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
| | - Marthe De Boevre
- Centre of Excellence in Mycotoxicology and Public Health, Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- MYTOX-SOUTH, International Thematic Network, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium
- Correspondence: (O.L.); (M.D.B.)
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6
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Mycotoxins and Essential Oils-From a Meat Industry Hazard to a Possible Solution: A Brief Review. Foods 2022; 11:foods11223666. [PMID: 36429263 PMCID: PMC9688991 DOI: 10.3390/foods11223666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/11/2022] [Accepted: 11/13/2022] [Indexed: 11/18/2022] Open
Abstract
The preservation of food supplies has been humankind's priority since ancient times, and it is arguably more relevant today than ever before. Food sustainability and safety have been heavily prioritized by consumers, producers, and government entities alike. In this regard, filamentous fungi have always been a health hazard due to their contamination of the food substrate with mycotoxins. Additionally, mycotoxins are proven resilient to technological processing. This study aims to identify the main mycotoxins that may occur in the meat and meat products "Farm to Fork" chain, along with their effect on the consumers' health, and also to identify effective methods of prevention through the use of essential oils (EO). At the same time, the antifungal and antimycotoxigenic potential of essential oils was considered in order to provide an overview of the subject. Targeting the main ways of meat products' contamination, the use of essential oils with proven in vitro or in situ efficacy against certain fungal species can be an effective alternative if all the associated challenges are addressed (e.g., application methods, suitability for certain products, toxicity).
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7
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Li SJ, Zhang G, Xue B, Ding Q, Han L, Huang JC, Wu F, Li C, Yang C. Toxicity and detoxification of T-2 toxin in poultry. Food Chem Toxicol 2022; 169:113392. [PMID: 36044934 DOI: 10.1016/j.fct.2022.113392] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/14/2022] [Accepted: 08/23/2022] [Indexed: 11/27/2022]
Abstract
This review summarizes the updated knowledge on the toxicity of T-2 on poultry, followed by potential strategies for detoxification of T-2 in poultry diet. The toxic effects of T-2 on poultry include cytotoxicity, genotoxicity, metabolism modulation, immunotoxicity, hepatotoxicity, gastrointestinal toxicity, skeletal toxicity, nephrotoxicity, reproductive toxicity, neurotoxicity, etc. Cytotoxicity is the primary toxicity of T-2, characterized by inhibiting protein and nucleic acid synthesis, altering the cell cycle, inducing oxidative stress, apoptosis and necrosis, which lead to damages of immune organs, liver, digestive tract, bone, kidney, etc., resulting in pathological changes and impaired physiological functions of these organs. Glutathione redox system, superoxide dismutase, catalase and autophagy are protective mechanisms against oxidative stress and apoptosis, and can compensate the pathological changes and physiological functions impaired by T-2 to some degree. T-2 detoxifying agents for poultry feeds include adsorbing agents (e.g., aluminosilicate-based clays and microbial cell wall), biotransforming agents (e.g., Eubacterium sp. BBSH 797 strain), and indirect detoxifying agents (e.g., plant-derived antioxidants). These T-2 detoxifying agents could alleviate different pathological changes to different degrees, and multi-component T-2 detoxifying agents can likely provide more comprehensive protection against the toxicity of T-2.
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Affiliation(s)
- Shao-Ji Li
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China.
| | - Guangzhi Zhang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Bin Xue
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China
| | - Qiaoling Ding
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China
| | - Lu Han
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China
| | - Jian-Chu Huang
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China
| | - Fuhai Wu
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China
| | - Chonggao Li
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China
| | - Chunmin Yang
- School of Engineering, Guangzhou College of Technology and Business, Guangzhou, 510850, China.
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8
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A web-based interactive physiologically based pharmacokinetic (iPBPK) model for meloxicam in broiler chickens and laying hens. Food Chem Toxicol 2022; 168:113332. [DOI: 10.1016/j.fct.2022.113332] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/16/2022] [Accepted: 07/25/2022] [Indexed: 02/06/2023]
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9
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Chou WC, Tell LA, Baynes RE, Davis JL, Maunsell FP, Riviere JE, Lin Z. An Interactive Generic Physiologically Based Pharmacokinetic (igPBPK) Modeling Platform to Predict Drug Withdrawal Intervals in Cattle and Swine: A Case Study on Flunixin, Florfenicol and Penicillin G. Toxicol Sci 2022; 188:180-197. [PMID: 35642931 PMCID: PMC9333411 DOI: 10.1093/toxsci/kfac056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Violative chemical residues in edible tissues from food-producing animals are of global public health concern. Great efforts have been made to develop physiologically based pharmacokinetic (PBPK) models for estimating withdrawal intervals (WDIs) for extralabel prescribed drugs in food animals. Existing models are insufficient to address the food safety concern as these models are either limited to 1 specific drug or difficult to be used by non-modelers. This study aimed to develop a user-friendly generic PBPK platform that can predict tissue residues and estimate WDIs for multiple drugs including flunixin, florfenicol, and penicillin G in cattle and swine. Mechanism-based in silico methods were used to predict tissue/plasma partition coefficients and the models were calibrated and evaluated with pharmacokinetic data from Food Animal Residue Avoidance Databank (FARAD). Results showed that model predictions were, in general, within a 2-fold factor of experimental data for all 3 drugs in both species. Following extralabel administration and respective U.S. FDA-approved tolerances, predicted WDIs for both cattle and swine were close to or slightly longer than FDA-approved label withdrawal times (eg, predicted 8, 28, and 7 days vs labeled 4, 28, and 4 days for flunixin, florfenicol, and penicillin G in cattle, respectively). The final model was converted to a web-based interactive generic PBPK platform. This PBPK platform serves as a user-friendly quantitative tool for real-time predictions of WDIs for flunixin, florfenicol, and penicillin G following FDA-approved label or extralabel use in both cattle and swine, and provides a basis for extrapolating to other drugs and species.
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Affiliation(s)
- Wei-Chun Chou
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32610, USA.,Center for Environmental and Human Toxicology, University of Florida, FL, 32608, USA
| | - Lisa A Tell
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California-Davis, Davis, CA, 95616, USA
| | - Ronald E Baynes
- Center for Chemical Toxicology Research and Pharmacokinetics, Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27606, USA
| | - Jennifer L Davis
- Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA, 24060, USA
| | - Fiona P Maunsell
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32608, USA
| | - Jim E Riviere
- Center for Chemical Toxicology Research and Pharmacokinetics, Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27606, USA.,1Data Consortium,Kansas State University, Olathe, KS, 66061, USA
| | - Zhoumeng Lin
- Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, 32610, USA.,Center for Environmental and Human Toxicology, University of Florida, FL, 32608, USA
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10
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Zhang X, Du J, Li B, Huo S, Zhang J, Cui Y, Song M, Shao B, Li Y. PINK1/Parkin-mediated mitophagy mitigates T-2 toxin-induced nephrotoxicity. Food Chem Toxicol 2022; 164:113078. [PMID: 35489469 DOI: 10.1016/j.fct.2022.113078] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 04/04/2022] [Accepted: 04/23/2022] [Indexed: 11/28/2022]
Abstract
T-2 toxin can cause mitochondrial impairment and subsequent renal damage. PINK1/Parkin-mediated mitophagy can mitigate renal impairment by alleviating mitochondrial damage. Nevertheless, the impact of PINK1/Parkin-mediated mitophagy in T-2 toxin-induced renal injury remains unclear. Here, we studied the role of PINK1/Parkin-mediated mitophagy in T-2 toxin-induced nephrotoxicity. Mitochondrial damage was accompanied by NLRP3-inflammasome activation and PINK1/Parkin-mediated mitophagy in the kidney of T-2 toxin-exposed C57BL/6N mice. Knocking out Parkin inhibited the mitophagy but aggravated the structural and functional damage, NLRP3-inflammasome activation, mitochondrial damage, and apoptosis. Correlation analysis revealed that NLRP3-inflammasome activation was correlated with apoptosis. These results show that PINK1/Parkin-mediated mitophagy mitigates T-2 toxin-induced nephrotoxicity.
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Affiliation(s)
- Xuliang Zhang
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Jiayu Du
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Bo Li
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Siming Huo
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Jian Zhang
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Yilong Cui
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Miao Song
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Bing Shao
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China
| | - Yanfei Li
- Key Laboratory of the Provincial Education, Department of Heilongjiang for Common Animal Disease Prevention and Treatment, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
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11
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Scanes CG, Witt J, Ebeling M, Schaller S, Baier V, Bone AJ, Preuss TG, Heckmann D. Quantitative Comparison of Avian and Mammalian Physiologies for Parameterization of Physiologically Based Kinetic Models. Front Physiol 2022; 13:858386. [PMID: 35450159 PMCID: PMC9016154 DOI: 10.3389/fphys.2022.858386] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 02/18/2022] [Indexed: 11/18/2022] Open
Abstract
Physiologically based kinetic (PBK) models facilitate chemical risk assessment by predicting in vivo exposure while reducing the need for animal testing. PBK models for mammals have seen significant progress, which has yet to be achieved for avian systems. Here, we quantitatively compare physiological, metabolic and anatomical characteristics between birds and mammals, with the aim of facilitating bird PBK model development. For some characteristics, there is considerable complementarity between avian and mammalian species with identical values for the following: blood hemoglobin and hemoglobin concentrations per unit erythrocyte volume together with relative weights of the liver, heart, and lungs. There are also systematic differences for some major characteristics between avian and mammalian species including erythrocyte volume, plasma concentrations of albumin, total protein and triglyceride together with liver cell size and relative weights of the kidney, spleen, and ovary. There are also major differences between characteristics between sexually mature and sexually immature female birds. For example, the relative weights of the ovary and oviduct are greater in sexually mature females compared to immature birds as are the plasma concentrations of triglyceride and vitellogenin. Both these sets of differences reflect the genetic "blue print" inherited from ancestral archosaurs such as the production of large eggs with yolk filled oocytes surrounded by egg white proteins, membranes and a calciferous shell together with adaptions for flight in birds or ancestrally in flightless birds.
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Affiliation(s)
- Colin G. Scanes
- Department of Poultry Science, University of Arkansas, Fayetteville, AR, United States
- Department of Biological Science, University of Wisconsin–Milwaukee, Milwaukee, WI, United States
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12
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Yang F, Liu D, Yang C, Song ZW, Shao HT, Zhang M, Zhang CS, Zhang ZD, Yang F. Development and application of a physiologically based pharmacokinetic model for orbifloxacin in crucian carp (Carassius auratus). J Vet Pharmacol Ther 2022; 45:311-319. [PMID: 35243644 DOI: 10.1111/jvp.13049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 02/07/2022] [Accepted: 02/23/2022] [Indexed: 11/29/2022]
Abstract
A flow-limited physiologically based pharmacokinetic (PBPK) model consisting of seven compartments was established for orbifloxacin in crucian carp to predict drug concentrations after intravenous or intramuscular injections. Physiological and anatomical parameters, including tissue weights and blood flow through different tissues, were obtained from previous literature. The tissue/plasma partition coefficients for orbifloxacin were calculated using the area method or parameter optimization. In addition, their values were 0.9326, 1.1204, 1.1644, 1.3514, and 2.0057 in the liver, skin, muscle, kidney, and the rest of the body compartment, respectively. Based on the current PBPK model, orbifloxacin concentrations were predicted and compared with those previously reported for further validation. In addition, the mean absolute percentage error (MAPE) values were also calculated, with values ranging from 10.21% in plasma to 42.37% in kidneys, indicating acceptable predictions for all tissues and plasma. A local sensitivity analysis was performed, which showed that the parameters related to elimination and distribution were most influential on orbifloxacin concentrations in muscle. This model was finally used to predict plasma and tissue concentrations after multiple intramuscular dosing. The current PBPK model provided a valuable tool for predicting the tissue residues of orbifloxacin in crucian carp following intramuscular injection.
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Affiliation(s)
- Fang Yang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Dan Liu
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Chao Yang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Zhe-Wen Song
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Hao-Tian Shao
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Mei Zhang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Chao-Shuo Zhang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Zhen-Dong Zhang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
| | - Fan Yang
- College of Animal Science and Technology, Henan University of Science and Technology, Luoyang, China
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13
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Physiologically based pharmacokinetic (PBPK) modeling of RNAi therapeutics: Opportunities and challenges. Biochem Pharmacol 2021; 189:114468. [PMID: 33577889 DOI: 10.1016/j.bcp.2021.114468] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/03/2021] [Accepted: 02/04/2021] [Indexed: 02/06/2023]
Abstract
Physiologically based pharmacokinetic (PBPK) modeling is a powerful tool with many demonstrated applications in various phases of drug development and regulatory review. RNA interference (RNAi)-based therapeutics are a class of drugs that have unique pharmacokinetic properties and mechanisms of action. With an increasing number of RNAi therapeutics in the pipeline and reaching the market, there is a considerable amount of active research in this area requiring a multidisciplinary approach. The application of PBPK models for RNAi therapeutics is in its infancy and its utility to facilitate the development of this new class of drugs is yet to be fully evaluated. From this perspective, we briefly discuss some of the current computational modeling approaches used in support of efficient development and approval of RNAi therapeutics. Considerations for PBPK model development are highlighted both in a relative context between small molecules and large molecules such as monoclonal antibodies and as it applies to RNAi therapeutics. In addition, the prospects for drawing upon other recognized avenues of PBPK modeling and some of the foreseeable challenges in PBPK model development for these chemical modalities are briefly discussed. Finally, an exploration of the potential application of PBPK model development for RNAi therapeutics is provided. We hope these preliminary thoughts will help initiate a dialogue between scientists in the relevant sectors to examine the value of PBPK modeling for RNAi therapeutics. Such evaluations could help standardize the practice in the future and support appropriate guidance development for strengthening the RNAi therapeutics development program.
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14
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Li M, Wang YS, Elwell-Cuddy T, Baynes RE, Tell LA, Davis JL, Maunsell FP, Riviere JE, Lin Z. Physiological parameter values for physiologically based pharmacokinetic models in food-producing animals. Part III: Sheep and goat. J Vet Pharmacol Ther 2020; 44:456-477. [PMID: 33350478 PMCID: PMC8359294 DOI: 10.1111/jvp.12938] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 10/07/2020] [Accepted: 11/24/2020] [Indexed: 12/13/2022]
Abstract
This report is the third in a series of studies that aimed to compile physiological parameters related to develop physiologically based pharmacokinetic (PBPK) models for drugs and environmental chemicals in food‐producing animals including swine and cattle (Part I), chickens and turkeys (Part II), and finally sheep and goats (the focus of this manuscript). Literature searches were conducted in multiple databases (PubMed, Google Scholar, ScienceDirect, and ProQuest), with data on relevant parameters including body weight, relative organ weight (% of body weight), cardiac output, relative organ blood flow (% of cardiac output), residual blood volume (% of organ weight), and hematocrit reviewed and statistically summarized. The mean and standard deviation of each parameter are presented in tables. Equations describing the growth curves of sheep and goats are presented in figures. When data are sufficient, parameter values are reported for different ages or production classes of sheep, including fetal sheep, lambs, and market‐age sheep (mature sheep). These data provide a reference database for developing standardized PBPK models to predict drug withdrawal intervals in sheep and goats, and also provide a basis for extrapolating PBPK models from major species such as cattle to minor species such as sheep and goats.
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Affiliation(s)
- Miao Li
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Yu-Shin Wang
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Trevor Elwell-Cuddy
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
| | - Ronald E Baynes
- Center for Chemical Toxicology Research and Pharmacokinetics, Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Lisa A Tell
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
| | - Jennifer L Davis
- Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA, USA
| | - Fiona P Maunsell
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA
| | - Jim E Riviere
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.,Center for Chemical Toxicology Research and Pharmacokinetics, Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA
| | - Zhoumeng Lin
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA
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15
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Zhang H, Chen Q, Niu B. Risk Assessment of Veterinary Drug Residues in Meat Products. Curr Drug Metab 2020; 21:779-789. [PMID: 32838714 DOI: 10.2174/1389200221999200820164650] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/17/2020] [Accepted: 05/13/2020] [Indexed: 01/04/2023]
Abstract
With the improvement of the global food safety regulatory system, there is an increasing importance for food safety risk assessment. Veterinary drugs are widely used in poultry and livestock products. The abuse of veterinary drugs seriously threatens human health. This article explains the necessity of risk assessment for veterinary drug residues in meat products, describes the principles and functions of risk assessment, then summarizes the risk assessment process of veterinary drug residues, and then outlines the qualitative and quantitative risk assessment methods used in this field. We propose the establishment of a new meat product safety supervision model with a view to improve the current meat product safety supervision system.
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Affiliation(s)
- Hui Zhang
- School of Life Sciences, Shanghai University, Shangda Road 200444, Shanghai, China
| | - Qin Chen
- School of Life Sciences, Shanghai University, Shangda Road 200444, Shanghai, China
| | - Bing Niu
- School of Life Sciences, Shanghai University, Shangda Road 200444, Shanghai, China
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16
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Wang Y, Li M, Tell LA, Baynes RE, Davis JL, Vickroy TW, Riviere JE, Lin Z. Physiological parameter values for physiologically based pharmacokinetic models in food-producing animals. Part II: Chicken and turkey. J Vet Pharmacol Ther 2020; 44:423-455. [PMID: 33289178 PMCID: PMC8359335 DOI: 10.1111/jvp.12931] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 10/29/2020] [Accepted: 11/05/2020] [Indexed: 12/12/2022]
Abstract
Physiologically based pharmacokinetic (PBPK) models are growing in popularity due to human food safety concerns and for estimating drug residue distribution and estimating withdrawal intervals for veterinary products originating from livestock species. This paper focuses on the physiological and anatomical data, including cardiac output, organ weight, and blood flow values, needed for PBPK modeling applications for avian species commonly consumed in the poultry market. Experimental and field studies from 1940 to 2019 for broiler chickens (1-70 days old, 40 g - 3.2 kg), laying hens (4-15 months old, 1.1-2.0 kg), and turkeys (1 day-14 months old, 60 g -12.7 kg) were searched systematically using PubMed, Google Scholar, ProQuest, and ScienceDirect for data collection in 2019 and 2020. Relevant data were extracted from the literature with mean and standard deviation (SD) being calculated and compiled in tables of relative organ weights (% of body weight) and relative blood flows (% of cardiac output). Trends of organ or tissue weight growth during different life stages were calculated when sufficient data were available. These compiled data sets facilitate future PBPK model development and applications, especially in estimating chemical residue concentrations in edible tissues to calculate food safety withdrawal intervals for poultry.
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Affiliation(s)
- Yu‐Shin Wang
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary MedicineKansas State UniversityManhattanKSUSA
| | - Miao Li
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary MedicineKansas State UniversityManhattanKSUSA
| | - Lisa A. Tell
- Department of Medicine and Epidemiology, School of Veterinary MedicineUniversity of California‐DavisDavisCAUSA
| | - Ronald E. Baynes
- Center for Chemical Toxicology Research and Pharmacokinetics, Department of Population Health and Pathobiology, College of Veterinary MedicineNorth Carolina State UniversityRaleighNCUSA
| | - Jennifer L. Davis
- Department of Biomedical Sciences and PathobiologyVirginia‐Maryland College of Veterinary MedicineBlacksburgVAUSA
| | - Thomas W. Vickroy
- Department of Physiological Sciences, College of Veterinary MedicineUniversity of FloridaGainesvilleFLUSA
| | - Jim E. Riviere
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary MedicineKansas State UniversityManhattanKSUSA
- Center for Chemical Toxicology Research and Pharmacokinetics, Department of Population Health and Pathobiology, College of Veterinary MedicineNorth Carolina State UniversityRaleighNCUSA
| | - Zhoumeng Lin
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary MedicineKansas State UniversityManhattanKSUSA
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17
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Chen P, Xiang B, Shi H, Yu P, Song Y, Li S. Recent advances on type A trichothecenes in food and feed: Analysis, prevalence, toxicity, and decontamination techniques. Food Control 2020. [DOI: 10.1016/j.foodcont.2020.107371] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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18
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Fairman K, Li M, Kabadi SV, Lumen A. Physiologically based pharmacokinetic modeling: A promising tool for translational research and regulatory toxicology. CURRENT OPINION IN TOXICOLOGY 2020. [DOI: 10.1016/j.cotox.2020.03.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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19
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Kang R, Perveen A, Li C. Effects of maternal T-2 toxin exposure on the hepatic glycolipid metabolism in young mice. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 196:110530. [PMID: 32229328 DOI: 10.1016/j.ecoenv.2020.110530] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/18/2020] [Accepted: 03/21/2020] [Indexed: 06/10/2023]
Abstract
T-2 toxin is a kind of group A trichothecenes mycotoxins, frequently detected in various foods and feeds, having high toxic effects on both humans and animals. The present study aims to investigate the toxic effects of T-2 toxin exposure to ICR mice during pregnancy and lactation on liver glycolipid metabolism of young mice. The pregnant mice were given 0, 0.005 and 0.05 mg of T-2 toxin/kg bw daily through oral gavage from late gestation (GD 14) to the lactation (LD 21). Liver and serum samples of the young mice were collected on postnatal day 21 (PND 21), PND 28 and PND 56. The results showed that T-2 toxin increased the contents of triglycerides (TG), total cholesterol (T-CHO) and glucose in serum of young mice on PND 21 and PND 28. In addition, obvious lipid droplets of liver in T-2 toxin treatment groups were observed, especially in 0.05 mg group of PND 21and PND 28. Compared with the control group, T-2 treatment also increased the expressions of genes associated with liver glycolipid metabolism, such as PEPCK, Glut2, Fas, Acox1, Hmgcr, PPARα, Srebp1 and CD36. These results demonstrated T-2 toxin exposure to pregnant mice could cause liver glycolipid metabolism disruption in the young mice and the toxic effects weakened on PND 56.
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Affiliation(s)
- Ruifen Kang
- National Experimental Teaching Demonstration Center of Animal Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, PR China
| | - Aneela Perveen
- National Experimental Teaching Demonstration Center of Animal Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, PR China
| | - Chunmei Li
- National Experimental Teaching Demonstration Center of Animal Science, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, 210095, PR China.
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20
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Lin Z, Li M, Wang YS, Tell LA, Baynes RE, Davis JL, Vickroy TW, Riviere JE. Physiological parameter values for physiologically based pharmacokinetic models in food-producing animals. Part I: Cattle and swine. J Vet Pharmacol Ther 2020; 43:385-420. [PMID: 32270548 PMCID: PMC7540321 DOI: 10.1111/jvp.12861] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2019] [Accepted: 03/04/2020] [Indexed: 12/15/2022]
Abstract
Physiologically based pharmacokinetic (PBPK) models for chemicals in food animals are a useful tool in estimating chemical tissue residues and withdrawal intervals. Physiological parameters such as organ weights and blood flows are an important component of a PBPK model. The objective of this study was to compile PBPK‐related physiological parameter data in food animals, including cattle and swine. Comprehensive literature searches were performed in PubMed, Google Scholar, ScienceDirect, and ProQuest. Relevant literature was reviewed and tables of relevant parameters such as relative organ weights (% of body weight) and relative blood flows (% of cardiac output) were compiled for different production classes of cattle and swine. The mean and standard deviation of each parameter were calculated to characterize their variability and uncertainty and to allow investigators to conduct population PBPK analysis via Monte Carlo simulations. Regression equations using weight or age were created for parameters having sufficient data. These compiled data provide a comprehensive physiological parameter database for developing PBPK models of chemicals in cattle and swine to support animal‐derived food safety assessment. This work also provides a basis to compile data in other food animal species, including goats, sheep, chickens, and turkeys.
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Affiliation(s)
- Zhoumeng Lin
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas
| | - Miao Li
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas
| | - Yu-Shin Wang
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas
| | - Lisa A Tell
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California-Davis, Davis, California
| | - Ronald E Baynes
- Center for Chemical Toxicology Research and Pharmacokinetics, Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
| | - Jennifer L Davis
- Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia
| | - Thomas W Vickroy
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, Florida
| | - Jim E Riviere
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, Kansas.,Center for Chemical Toxicology Research and Pharmacokinetics, Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina
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21
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Lautz LS, Nebbia C, Hoeks S, Oldenkamp R, Hendriks AJ, Ragas AMJ, Dorne JLCM. An open source physiologically based kinetic model for the chicken (Gallus gallus domesticus): Calibration and validation for the prediction residues in tissues and eggs. ENVIRONMENT INTERNATIONAL 2020; 136:105488. [PMID: 31991240 DOI: 10.1016/j.envint.2020.105488] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/10/2020] [Accepted: 01/11/2020] [Indexed: 06/10/2023]
Abstract
Xenobiotics from anthropogenic and natural origin enter animal feed and human food as regulated compounds, environmental contaminants or as part of components of the diet. After dietary exposure, a chemical is absorbed and distributed systematically to a range of organs and tissues, metabolised, and excreted. Physiologically based kinetic (PBK) models have been developed to estimate internal concentrations from external doses. In this study, a generic multi-compartment PBK model was developed for chicken. The PBK model was implemented for seven compounds (with log Kow range -1.37-6.2) to quantitatively link external dose and internal dose for risk assessment of chemicals. Global sensitivity analysis was performed for a hydrophilic and a lipophilic compound to identify the most sensitive parameters in the PBK model. Model predictions were compared to measured data according to dataset-specific exposure scenarios. Globally, 71% of the model predictions were within a 3-fold change of the measured data for chicken and only 7% of the PBK predictions were outside a 10-fold change. While most model input parameters still rely on in vivo experiments, in vitro data were also used as model input to predict internal concentration of the coccidiostat monensin. Future developments of generic PBK models in chicken and other species of relevance to animal health risk assessment are discussed.
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Affiliation(s)
- L S Lautz
- Department of Environmental Science, Radboud University Nijmegen, Houtlaan 4, 6525 XZ Nijmegen, the Netherlands.
| | - C Nebbia
- Department of Veterinary Sciences, University of Torino, Largo P. Braccini 2, 10095 Grugliasco, Italy
| | - S Hoeks
- Department of Environmental Science, Radboud University Nijmegen, Houtlaan 4, 6525 XZ Nijmegen, the Netherlands
| | - R Oldenkamp
- Department of Environmental Science, Radboud University Nijmegen, Houtlaan 4, 6525 XZ Nijmegen, the Netherlands
| | - A J Hendriks
- Department of Environmental Science, Radboud University Nijmegen, Houtlaan 4, 6525 XZ Nijmegen, the Netherlands
| | - A M J Ragas
- Department of Environmental Science, Radboud University Nijmegen, Houtlaan 4, 6525 XZ Nijmegen, the Netherlands; Department of Science, Faculty of Management, Science &Technology, Open University, 6419 AT Heerlen, the Netherlands
| | - J L C M Dorne
- European Food Safety Authority, Via Carlo Magno 1A, 43126 Parma, Italy
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22
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A physiologically based pharmacokinetic model of doxycycline for predicting tissue residues and withdrawal intervals in grass carp (Ctenopharyngodon idella). Food Chem Toxicol 2020; 137:111127. [PMID: 31945393 DOI: 10.1016/j.fct.2020.111127] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/14/2019] [Accepted: 01/09/2020] [Indexed: 01/18/2023]
Abstract
The extensive use of doxycycline in aquaculture results in drug residue violations that negatively impact human food safety. This study aimed to develop a physiologically based pharmacokinetic (PBPK) model for doxycycline to predict drug residues and withdrawal times (WTs) in grass carp (Ctenopharyngodon idella) after daily oral administration for 3 days. Physiological parameters including cardiac output and organ weights were measured experimentally. Chemical-specific parameters were obtained from the literature or estimated by fitting to the observed data. The model properly captured the observed kinetic profiles of doxycycline in tissues (i.e., liver, kidney, muscle + skin and gill). The predicted WT in muscle + skin by Monte Carlo analysis based on sensitive parameters identified at 24 h after drug administration was 41 d, which was similar to 43 d calculated using the tolerance limit method. Sensitivity analysis identified two additional sensitive parameters at 6 weeks: intestinal transit rate constant and urinary elimination rate constant. The predicted WT in muscle + skin based on sensitive parameters identified at 6 weeks was 54 d. This model provides a useful tool to estimate tissue residues and withdrawal times for doxycycline in grass carp and also serves a foundation for extrapolation to other fish species and other tetracyclines.
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23
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Lautz L, Oldenkamp R, Dorne J, Ragas A. Physiologically based kinetic models for farm animals: Critical review of published models and future perspectives for their use in chemical risk assessment. Toxicol In Vitro 2019; 60:61-70. [DOI: 10.1016/j.tiv.2019.05.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 04/28/2019] [Accepted: 05/05/2019] [Indexed: 10/26/2022]
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24
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Xu N, Li M, Fu Y, Zhang X, Ai X, Lin Z. Tissue residue depletion kinetics and withdrawal time estimation of doxycycline in grass carp, Ctenopharyngodon idella, following multiple oral administrations. Food Chem Toxicol 2019; 131:110592. [PMID: 31220539 DOI: 10.1016/j.fct.2019.110592] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 06/12/2019] [Accepted: 06/14/2019] [Indexed: 12/15/2022]
Abstract
This study aimed to determine the plasma and tissue residue depletion kinetics of doxycycline (DC) in grass carp (Ctenopharyngodon idella) after daily oral administrations at 20 mg/kg for 3 days, and to calculate the corresponding withdrawal times. Following drug administrations, samples of plasma, liver, kidney, gill and muscle + skin were collected at predetermined time points (0.25, 0.5, 1, 3, 5, 7, 14, 21, 28, 35, 42, 49 and 56 days) and analyzed for concentrations of DC using a LC-MS/MS method. The results showed that liver had the highest concentrations and the slowest depletion compared to other tissues, with detectable DC up to 49 days (58.9 ± 12.8 μg/kg). The WT 1.4 software and "reschem" package were used to calculate withdrawal times, and the results were similar. The results suggest a withdrawal time of 41 days for Europe and China and 50 days for Japan is needed for DC in grass carp after 3 daily oral administrations at 20 mg/kg. Overall, this study improves our understanding of the tissue residue depletion kinetics of DC in fish, and the results may help regulatory agencies to determine proper withdrawal periods based on different regulatory standards in different countries to ensure safety of aquatic food products.
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Affiliation(s)
- Ning Xu
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China; Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, 66506, USA; Hu Bei Province Engineering and Technology Research Center of Aquatic Product Quality and Safety, Wuhan, 430223, China.
| | - Miao Li
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, 66506, USA.
| | - Yu Fu
- Hunan University of Arts and Science, Changde, 415000, China.
| | - Xiaomei Zhang
- Hunan Applied Technology University, Changde, 415000, China.
| | - Xiaohui Ai
- Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan, 430223, China; Hu Bei Province Engineering and Technology Research Center of Aquatic Product Quality and Safety, Wuhan, 430223, China.
| | - Zhoumeng Lin
- Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, 66506, USA.
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