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Wang H, Lu F, Tian Y, Zhang S, Han S, Fu Y, Li J, Feng P, Shi Z, Chen H, Hou H. Evaluation of toxicity of heated tobacco products aerosol and cigarette smoke to BEAS-2B cells based on 3D biomimetic chip model. Toxicol In Vitro 2024; 94:105708. [PMID: 37806364 DOI: 10.1016/j.tiv.2023.105708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/28/2023] [Accepted: 10/03/2023] [Indexed: 10/10/2023]
Abstract
It is still a controversial topic about evaluating whether heated tobacco products (HTP) really reduce harm, which involves the choice of an experimental model. Here, a three-dimensional (3D) biomimetic chip model was used to evaluate the toxicity of aerosols came from HTP and smoke produced by cigarettes (Cig). Based on cell-related experiments, we found that the toxicity of Cig smoke extract diluted four times was also much higher than that of undiluted HTP, showing higher oxidative stress response and cause mitochondrial dysfunction. Meanwhile, both tobacco products all affect the tricarboxylic acid cycle (TCA), which is manifested by a significant decrease in the mRNA expression of TCA key rate-limiting enzymes. Summarily, 3D Biomimetic chip technology can be used as an ideal model to evaluate HTP. It can provide important data for tobacco risk assessment when 3D chip model was used. Our experimental results showed that HTP may be less harmful than tobacco cigarettes, but it does show significant cytotoxicity with the increase of dose. Therefore, the potential clinical effects of HTP on targeted organs such as lung should be further studied.
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Affiliation(s)
- Hongjuan Wang
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China; Beijing Institute of Life Science and Technology, Beijing, China; Key Labortory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Fengjun Lu
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
| | - Yushan Tian
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China; Beijing Institute of Life Science and Technology, Beijing, China; Key Labortory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Sen Zhang
- Shaanxi Key Laboratory of Degradable Biomedical Materials, School of Chemical Engineering, Northwest University, Xi'an 710069, China
| | - Shulei Han
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China; Beijing Institute of Life Science and Technology, Beijing, China; Key Labortory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Yaning Fu
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China; Beijing Institute of Life Science and Technology, Beijing, China; Key Labortory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Jun Li
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China; Beijing Institute of Life Science and Technology, Beijing, China; Key Labortory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Pengxia Feng
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
| | - Zhihao Shi
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
| | - Huan Chen
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China; Beijing Institute of Life Science and Technology, Beijing, China; Key Labortory of Tobacco Biological Effects and Biosynthesis, Beijing, China.
| | - Hongwei Hou
- China National Tobacco Quality Supervision &Test Center, Zhengzhou, China; Key Laboratory of Tobacco Biological Effects, Zhengzhou, China; Beijing Institute of Life Science and Technology, Beijing, China; Key Labortory of Tobacco Biological Effects and Biosynthesis, Beijing, China.
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Hussen E, Aakel N, Shaito AA, Al-Asmakh M, Abou-Saleh H, Zakaria ZZ. Zebrafish ( Danio rerio) as a Model for the Study of Developmental and Cardiovascular Toxicity of Electronic Cigarettes. Int J Mol Sci 2023; 25:194. [PMID: 38203365 PMCID: PMC10779276 DOI: 10.3390/ijms25010194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 11/03/2023] [Accepted: 11/08/2023] [Indexed: 01/12/2024] Open
Abstract
The increasing popularity of electronic cigarettes (e-cigarettes) as an alternative to conventional tobacco products has raised concerns regarding their potential adverse effects. The cardiovascular system undergoes intricate processes forming the heart and blood vessels during fetal development. However, the precise impact of e-cigarette smoke and aerosols on these delicate developmental processes remains elusive. Previous studies have revealed changes in gene expression patterns, disruptions in cellular signaling pathways, and increased oxidative stress resulting from e-cigarette exposure. These findings indicate the potential for e-cigarettes to cause developmental and cardiovascular harm. This comprehensive review article discusses various aspects of electronic cigarette use, emphasizing the relevance of cardiovascular studies in Zebrafish for understanding the risks to human health. It also highlights novel experimental approaches and technologies while addressing their inherent challenges and limitations.
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Affiliation(s)
- Eman Hussen
- Biological Science Program, Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, Doha P.O. Box 2713, Qatar;
| | - Nada Aakel
- Biomedical Sciences Department, College of Health Sciences, Qatar University, Doha P.O. Box 2713, Qatar; (N.A.); (M.A.-A.); (H.A.-S.)
| | - Abdullah A. Shaito
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar;
| | - Maha Al-Asmakh
- Biomedical Sciences Department, College of Health Sciences, Qatar University, Doha P.O. Box 2713, Qatar; (N.A.); (M.A.-A.); (H.A.-S.)
| | - Haissam Abou-Saleh
- Biomedical Sciences Department, College of Health Sciences, Qatar University, Doha P.O. Box 2713, Qatar; (N.A.); (M.A.-A.); (H.A.-S.)
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar;
| | - Zain Z. Zakaria
- Medical and Health Sciences Office, QU Health, Qatar University, Doha P.O. Box 2713, Qatar
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Caloni F, De Angelis I, Hartung T. Replacement of animal testing by integrated approaches to testing and assessment (IATA): a call for in vivitrosi. Arch Toxicol 2022; 96:1935-1950. [PMID: 35503372 PMCID: PMC9151502 DOI: 10.1007/s00204-022-03299-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/06/2022] [Indexed: 12/19/2022]
Abstract
Alternative methods to animal use in toxicology are evolving with new advanced tools and multilevel approaches, to answer from one side to 3Rs requirements, and on the other side offering relevant and valid tests for drugs and chemicals, considering also their combination in test strategies, for a proper risk assessment.While stand-alone methods, have demonstrated to be applicable for some specific toxicological predictions with some limitations, the new strategy for the application of New Approach Methods (NAM), to solve complex toxicological endpoints is addressed by Integrated Approaches for Testing and Assessment (IATA), aka Integrated Testing Strategies (ITS) or Defined Approaches for Testing and Assessment (DA). The central challenge of evidence integration is shared with the needs of risk assessment and systematic reviews of an evidence-based Toxicology. Increasingly, machine learning (aka Artificial Intelligence, AI) lends itself to integrate diverse evidence streams.In this article, we give an overview of the state of the art of alternative methods and IATA in toxicology for regulatory use for various hazards, outlining future orientation and perspectives. We call on leveraging the synergies of integrated approaches and evidence integration from in vivo, in vitro and in silico as true in vivitrosi.
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Affiliation(s)
- Francesca Caloni
- Department of Environmental Science and Policy (ESP), Università degli Studi di Milano, Via Celoria 10, 20133, Milan, Italy.
| | - Isabella De Angelis
- Environment and Health Department, Istituto Superiore di Sanità, Viale Regina Elena, 299, 00161, Rome, Italy
| | - Thomas Hartung
- Center for Alternatives to Animal Testing (CAAT), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA
- CAAT Europe, University of Konstanz, 78464, Konstanz, Germany
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Kuo B, Beal MA, Wills JW, White PA, Marchetti F, Nong A, Barton-Maclaren TS, Houck K, Yauk CL. Comprehensive interpretation of in vitro micronucleus test results for 292 chemicals: from hazard identification to risk assessment application. Arch Toxicol 2022; 96:2067-2085. [PMID: 35445829 PMCID: PMC9151546 DOI: 10.1007/s00204-022-03286-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 02/23/2022] [Indexed: 11/08/2022]
Abstract
Risk assessments are increasingly reliant on information from in vitro assays. The in vitro micronucleus test (MNvit) is a genotoxicity test that detects chromosomal abnormalities, including chromosome breakage (clastogenicity) and/or whole chromosome loss (aneugenicity). In this study, MNvit datasets for 292 chemicals, generated by the US EPA's ToxCast program, were evaluated using a decision tree-based pipeline for hazard identification. Chemicals were tested with 19 concentrations (n = 1) up to 200 µM, in the presence and absence of Aroclor 1254-induced rat liver S9. To identify clastogenic chemicals, %MN values at each concentration were compared to a distribution of batch-specific solvent controls; this was followed by cytotoxicity assessment and benchmark concentration (BMC) analyses. The approach classified 157 substances as positives, 25 as negatives, and 110 as inconclusive. Using the approach described in Bryce et al. (Environ Mol Mutagen 52:280-286, 2011), we identified 15 (5%) aneugens. IVIVE (in vitro to in vivo extrapolation) was employed to convert BMCs into administered equivalent doses (AEDs). Where possible, AEDs were compared to points of departure (PODs) for traditional genotoxicity endpoints; AEDs were generally lower than PODs based on in vivo endpoints. To facilitate interpretation of in vitro MN assay concentration-response data for risk assessment, exposure estimates were utilized to calculate bioactivity exposure ratio (BER) values. BERs for 50 clastogens and two aneugens had AEDs that approached exposure estimates (i.e., BER < 100); these chemicals might be considered priorities for additional testing. This work provides a framework for the use of high-throughput in vitro genotoxicity testing for priority setting and chemical risk assessment.
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Affiliation(s)
- Byron Kuo
- Environmental Health Science and Research Bureau, Environmental and Radiation Health Sciences Directorate, Healthy Environment and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada
| | - Marc A Beal
- Bureau of Chemical Safety, Food Directorate, Health Products and Food Branch, Health Canada, Ottawa, ON, Canada
| | - John W Wills
- Environmental Health Science and Research Bureau, Environmental and Radiation Health Sciences Directorate, Healthy Environment and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada
- Biominerals Research, Department of Veterinary Medicine, University of Cambridge, Cambridge, CB3 0ES, UK
| | - Paul A White
- Environmental Health Science and Research Bureau, Environmental and Radiation Health Sciences Directorate, Healthy Environment and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada
| | - Francesco Marchetti
- Environmental Health Science and Research Bureau, Environmental and Radiation Health Sciences Directorate, Healthy Environment and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada
| | - Andy Nong
- Environmental Health Science and Research Bureau, Environmental and Radiation Health Sciences Directorate, Healthy Environment and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada
| | - Tara S Barton-Maclaren
- Existing Substances Risk Assessment Bureau, Safe Environments Directorate, Healthy Environment and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada
| | - Keith Houck
- National Center for Computational Toxicology, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC, 27711, USA
| | - Carole L Yauk
- Environmental Health Science and Research Bureau, Environmental and Radiation Health Sciences Directorate, Healthy Environment and Consumer Safety Branch, Health Canada, Ottawa, ON, Canada.
- Department of Biology, University of Ottawa, 30 Marie Curie Private, Room 269, Ottawa, ON, K1N 6N5, Canada.
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Pikula K, Tretyakova M, Zakharenko A, Johari SA, Ugay S, Chernyshev V, Chaika V, Kalenik T, Golokhvast K. Environmental Risk Assessment of Vehicle Exhaust Particles on Aquatic Organisms of Different Trophic Levels. TOXICS 2021; 9:toxics9100261. [PMID: 34678957 PMCID: PMC8539507 DOI: 10.3390/toxics9100261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/06/2021] [Accepted: 10/09/2021] [Indexed: 11/16/2022]
Abstract
Vehicle emission particles (VEPs) represent a significant part of air pollution in urban areas. However, the toxicity of this category of particles in different aquatic organisms is still unexplored. This work aimed to extend the understanding of the toxicity of the vehicle exhaust particles in two species of marine diatomic microalgae, the planktonic crustacean Artemia salina, and the sea urchin Strongylocentrotus intermedius. These aquatic species were applied for the first time in the risk assessment of VEPs. Our results demonstrated that the samples obtained from diesel-powered vehicles completely prevented egg fertilization of the sea urchin S. intermedius and caused pronounced membrane depolarization in the cells of both tested microalgae species at concentrations between 10 and 100 mg/L. The sample with the highest proportion of submicron particles and the highest content of polycyclic aromatic hydrocarbons (PAHs) had the highest growth rate inhibition in both microalgae species and caused high toxicity to the crustacean. The toxicity level of the other samples varied among the species. We can conclude that metal content and the difference in the concentrations of PAHs by itself did not directly reflect the toxic level of VEPs, but the combination of both a high number of submicron particles and high PAH concentrations had the highest toxic effect on all the tested species.
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Affiliation(s)
- Konstantin Pikula
- Polytechnical Institute, Far Eastern Federal University, 10 Ajax Bay, Russky Island, 690922 Vladivostok, Russia; (M.T.); (S.U.); (V.C.); (K.G.)
- Federal Research Center the Yakut Scientific Center of the Siberian Branch of the Russian Academy of Sciences, 2, Petrovskogo Str., 677000 Yakutsk, Russia
- Correspondence:
| | - Mariya Tretyakova
- Polytechnical Institute, Far Eastern Federal University, 10 Ajax Bay, Russky Island, 690922 Vladivostok, Russia; (M.T.); (S.U.); (V.C.); (K.G.)
| | - Alexander Zakharenko
- Siberian Federal Scientific Center of Agrobiotechnologies of the Russian Academy of Sciences, SFSCA RAS, P.O. Box 267, 630501 Krasnoobsk, Russia; (A.Z.); (V.C.)
- Laboratory of Supercritical Fluid Research and Application in Agrobiotechnology, The National Research Tomsk State University, 36, Lenin Avenue, 634050 Tomsk, Russia
| | - Seyed Ali Johari
- Department of Fisheries, Faculty of Natural Resources, University of Kurdistan, Pasdaran St, Sanandaj 66177-15175, Iran;
| | - Sergey Ugay
- Polytechnical Institute, Far Eastern Federal University, 10 Ajax Bay, Russky Island, 690922 Vladivostok, Russia; (M.T.); (S.U.); (V.C.); (K.G.)
| | - Valery Chernyshev
- Polytechnical Institute, Far Eastern Federal University, 10 Ajax Bay, Russky Island, 690922 Vladivostok, Russia; (M.T.); (S.U.); (V.C.); (K.G.)
| | - Vladimir Chaika
- Siberian Federal Scientific Center of Agrobiotechnologies of the Russian Academy of Sciences, SFSCA RAS, P.O. Box 267, 630501 Krasnoobsk, Russia; (A.Z.); (V.C.)
| | - Tatiana Kalenik
- Institute of Life Science and Biomedicine, Far Eastern Federal University, 10 Ajax Bay, Russky Island, 690922 Vladivostok, Russia;
| | - Kirill Golokhvast
- Polytechnical Institute, Far Eastern Federal University, 10 Ajax Bay, Russky Island, 690922 Vladivostok, Russia; (M.T.); (S.U.); (V.C.); (K.G.)
- Federal Research Center the Yakut Scientific Center of the Siberian Branch of the Russian Academy of Sciences, 2, Petrovskogo Str., 677000 Yakutsk, Russia
- Laboratory of Supercritical Fluid Research and Application in Agrobiotechnology, The National Research Tomsk State University, 36, Lenin Avenue, 634050 Tomsk, Russia
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Chen Z, Lloyd D, Zhou YH, Chiu WA, Wright FA, Rusyn I. Risk Characterization of Environmental Samples Using In Vitro Bioactivity and Polycyclic Aromatic Hydrocarbon Concentrations Data. Toxicol Sci 2021; 179:108-120. [PMID: 33165562 DOI: 10.1093/toxsci/kfaa166] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Methods to assess environmental exposure to hazardous chemicals have primarily focused on quantification of individual chemicals, although chemicals often occur in mixtures, presenting challenges to the traditional risk characterization framework. Sampling sites in a defined geographic region provide an opportunity to characterize chemical contaminants, with spatial interpolation as a tool to provide estimates for non-sampled sites. At the same time, the use of in vitro bioactivity measurements has been shown to be informative for rapid risk-based decisions. In this study, we measured in vitro bioactivity in 39 surface soil samples collected immediately after flooding associated with Hurricane Harvey in Texas in a residential area known to be inundated with polycyclic aromatic hydrocarbon (PAH) contaminants. Bioactivity data were from a number of functional and toxicity assays in 5 human cell types, such as induced pluripotent stem cell-derived hepatocytes, cardiomyocytes, neurons, and endothelial cells, as well as human umbilical vein endothelial cells. Data on concentrations of PAH in these samples were also available and the combination of data sources offered a unique opportunity to assess the joint spatial variation of PAH components and bioactivity. We found significant evidence of spatial correlation of a subset of PAH contaminants and of cell-based phenotypes. In addition, we show that the cell-based bioactivity data can be used to predict environmental concentrations for several PAH contaminants, as well as overall PAH summaries and cancer risk. This study's impact lies in its demonstration that cell-based profiling can be used for rapid hazard screening of environmental samples by anchoring the bioassays to concentrations of PAH. This work sets the stage for identification of the areas of concern and direct quantitative risk characterization based on bioactivity data, thereby providing an important supplement to traditional individual chemical analyses by shedding light on constituents that may be missed from targeted chemical monitoring.
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Affiliation(s)
- Zunwei Chen
- Interdisciplinary Faculty of Toxicology.,Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas 77843
| | - Dillon Lloyd
- Bioinformatics Research Center.,Departments of Biological Sciences and Statistics, North Carolina State University, Raleigh, North Carolina 27695
| | - Yi-Hui Zhou
- Bioinformatics Research Center.,Departments of Biological Sciences and Statistics, North Carolina State University, Raleigh, North Carolina 27695
| | - Weihsueh A Chiu
- Interdisciplinary Faculty of Toxicology.,Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas 77843
| | - Fred A Wright
- Bioinformatics Research Center.,Departments of Biological Sciences and Statistics, North Carolina State University, Raleigh, North Carolina 27695
| | - Ivan Rusyn
- Interdisciplinary Faculty of Toxicology.,Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas 77843
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Horel S, Keyzer T. Covid 19: How harm reduction advocates and the tobacco industry capitalised on the pandemic to promote nicotine. BMJ 2021; 373:n1303. [PMID: 34078640 DOI: 10.1136/bmj.n1303] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Hsieh NH, Chen Z, Rusyn I, Chiu WA. Risk Characterization and Probabilistic Concentration-Response Modeling of Complex Environmental Mixtures Using New Approach Methodologies (NAMs) Data from Organotypic in Vitro Human Stem Cell Assays. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:17004. [PMID: 33395322 PMCID: PMC7781439 DOI: 10.1289/ehp7600] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 12/05/2020] [Accepted: 12/09/2020] [Indexed: 05/27/2023]
Abstract
BACKGROUND Risk assessment of chemical mixtures or complex substances remains a major methodological challenge due to lack of available hazard or exposure data. Therefore, risk assessors usually infer hazard or risk from data on the subset of constituents with available toxicity values. OBJECTIVES We evaluated the validity of the widely used traditional mixtures risk assessment paradigms, Independent Action (IA) and Concentration Addition (CA), with new approach methodologies (NAMs) data from human cell-based in vitro assays. METHODS A diverse set of 42 chemicals was tested both individually and as mixtures for functional and cytotoxic effects in vitro. A panel of induced pluripotent stem cell (iPSCs)-derived models (hepatocytes, cardiomyocytes, endothelial, and neurons) and one primary cell type (HUVEC) were used. Bayesian concentration-response modeling of individual chemicals or their mixtures was performed for a total of 47 phenotypes to derive point-of-departure (POD) values. Probabilistic IA or CA was conducted to estimate the mixture effects based on the bioactivity profiles from the individual chemicals and compared with mixture bioactivity. RESULTS All mixtures showed significant bioactivity, even though some were constructed using individual chemical concentrations considered "low" or "safe." Even though CA is much more accurate as a predictor of mixture effects in comparison with IA, with CA-based POD typically within an order of magnitude of the actual mixture, in some cases, the bioactivity of the mixtures appeared to be much greater than that of their components under either additivity assumption. DISCUSSION These results suggest that CA is a preferred first approximation for predicting mixture toxicity when data for all constituents are available. However, because the accuracy of additivity assumptions varies greatly across phenotypes, we posit that mixtures and complex substances need to be directly tested for their hazard potential. NAMs provide a practical solution that rapidly yields highly informative data for mixtures risk assessment. https://doi.org/10.1289/EHP7600.
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Affiliation(s)
- Nan-Hung Hsieh
- Interdisciplinary Faculty of Toxicology and Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Zunwei Chen
- Interdisciplinary Faculty of Toxicology and Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Ivan Rusyn
- Interdisciplinary Faculty of Toxicology and Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Weihsueh A. Chiu
- Interdisciplinary Faculty of Toxicology and Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
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