Craig Rowlands - Academia.edu (original) (raw)
Uploads
Papers by Craig Rowlands
Environmental Health Perspectives, 2021
Kamel Mansouri, Agnes L. Karmaus, Jeremy Fitzpatrick, Grace Patlewicz, Prachi Pradeep, Domenico A... more Kamel Mansouri, Agnes L. Karmaus, Jeremy Fitzpatrick, Grace Patlewicz, Prachi Pradeep, Domenico Alberga, Nathalie Alepee, Timothy E.H. Allen, Dave Allen, Vinicius M. Alves, Carolina H. Andrade, Tyler R. Auernhammer, Davide Ballabio, Shannon Bell, Emilio Benfenati, Sudin Bhattacharya, Joyce V. Bastos, Stephen Boyd, J. B. Brown, Stephen J. Capuzzi, Yaroslav Chushak, Heather Ciallella, Alex M. Clark, Viviana Consonni, Pankaj R. Daga, Sean Ekins, Sherif Farag, Maxim Fedorov, Denis Fourches, Domenico Gadaleta, Feng Gao, Jeffery M. Gearhart, Garett Goh, Jonathan M. Goodman, Francesca Grisoni, Christopher M. Grulke, Thomas Hartung, Matthew Hirn, Pavel Karpov, Alexandru Korotcov, Giovanna J. Lavado, Michael Lawless, Xinhao Li, Thomas Luechtefeld, Filippo Lunghini, Giuseppe F. Mangiatordi, Gilles Marcou, Dan Marsh, Todd Martin, Andrea Mauri, Eugene N. Muratov, Glenn J. Myatt, Dac-Trung Nguyen, Orazio Nicolotti, Reine Note, Paritosh Pande, Amanda K. Parks, Tyler Peryea, Ahsan H. Polash, Robert Rallo, Alessandra Roncaglioni, Craig Rowlands, Patricia Ruiz, Daniel P. Russo, Ahmed Sayed, Risa Sayre, Timothy Sheils, Charles Siegel, Arthur C. Silva, Anton Simeonov, Sergey Sosnin, Noel Southall, Judy Strickland, Yun Tang, Brian Teppen, Igor V. Tetko, Dennis Thomas, Valery Tkachenko, Roberto Todeschini, Cosimo Toma, Ignacio Tripodi, Daniela Trisciuzzi, Alexander Tropsha, Alexandre Varnek, Kristijan Vukovic, Zhongyu Wang, Liguo Wang, Katrina M. Waters, Andrew J. Wedlake, Sanjeeva J. Wijeyesakere, Dan Wilson, Zijun Xiao, Hongbin Yang, Gergely Zahoranszky-Kohalmi, Alexey V. Zakharov, Fagen F. Zhang, Zhen Zhang, Tongan Zhao, Hao Zhu, Kimberley M. Zorn, Warren Casey, and Nicole C. Kleinstreuer
Environmental Health Perspectives, 2021
BACKGROUND: Humans are exposed to tens of thousands of chemical substances that need to be assess... more BACKGROUND: Humans are exposed to tens of thousands of chemical substances that need to be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for regulatory hazard classification, labeling, and risk management. However, it is cost-and time-prohibitive to evaluate all new and existing chemicals using traditional rodent acute toxicity tests. In silico models built using existing data facilitate rapid acute toxicity predictions without using animals. OBJECTIVES: The U.S. Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) Acute Toxicity Workgroup organized an international collaboration to develop in silico models for predicting acute oral toxicity based on five different end points: Lethal Dose 50 (LD 50 value, U.S. Environmental Protection Agency hazard (four) categories, Globally Harmonized System for Classification and Labeling hazard (five) categories, very toxic chemicals [LD 50 (LD 50 ≤ 50 mg=kg)], and nontoxic chemicals (LD 50 > 2,000 mg=kg). METHODS: An acute oral toxicity data inventory for 11,992 chemicals was compiled, split into training and evaluation sets, and made available to 35 participating international research groups that submitted a total of 139 predictive models. Predictions that fell within the applicability domains of the submitted models were evaluated using external validation sets. These were then combined into consensus models to leverage strengths of individual approaches. RESULTS: The resulting consensus predictions, which leverage the collective strengths of each individual model, form the Collaborative Acute Toxicity Modeling Suite (CATMoS). CATMoS demonstrated high performance in terms of accuracy and robustness when compared with in vivo results. DISCUSSION: CATMoS is being evaluated by regulatory agencies for its utility and applicability as a potential replacement for in vivo rat acute oral toxicity studies. CATMoS predictions for more than 800,000 chemicals have been made available via the National Toxicology Program's Integrated Chemical Environment tools and data sets (ice.ntp.niehs.nih.gov). The models are also implemented in a free, standalone, open-source tool, OPERA, which allows predictions of new and untested chemicals to be made.
Toxicology Research, 2018
The creation of large toxicological databases and advances in machine-learning techniques have em... more The creation of large toxicological databases and advances in machine-learning techniques have empowered computational approaches in toxicology. Work with these large databases based on regulatory data has allowed reproducibility assessment of animal models, which highlight weaknesses in traditional in vivo methods. This should lower the bars for the introduction of new approaches and represents a benchmark that is achievable for any alternative method validated against these methods. Quantitative Structure Activity Relationships (QSAR) models for skin sensitization, eye irritation, and other human health hazards based on these big databases, however, also have made apparent some of the challenges facing computational modeling, including validation challenges, model interpretation issues, and model selection issues. A first implementation of machine learning-based predictions termed REACHacross achieved unprecedented sensitivities of >80% with specificities >70% in predicting ...
Toxicological Sciences, 2018
Earlier we created a chemical hazard database via natural language processing of dossiers submitt... more Earlier we created a chemical hazard database via natural language processing of dossiers submitted to the European Chemical Agency with approximately 10 000 chemicals. We identified repeat OECD guideline tests to establish reproducibility of acute oral and dermal toxicity, eye and skin irritation, mutagenicity and skin sensitization. Based on 350-700þ chemicals each, the probability that an OECD guideline animal test would output the same result in a repeat test was 78%-96% (sensitivity 50%-87%). An expanded database with more than 866 000 chemical properties/hazards was used as training data and to model health hazards and chemical properties. The constructed models automate and extend the read-across method of chemical classification. The novel models called RASARs (read-across structure activity relationship) use binary fingerprints and Jaccard distance to define chemical similarity. A large chemical similarity adjacency matrix is constructed from this similarity metric and is used to derive feature vectors for supervised learning. We show results on 9 health hazards from 2 kinds of RASARs-"Simple" and "Data Fusion". The "Simple" RASAR seeks to duplicate the traditional read-across method, predicting hazard from chemical analogs with known hazard data. The "Data Fusion" RASAR extends this concept by creating large feature vectors from all available property data rather than only the modeled hazard. Simple RASAR models tested in cross-validation achieve 70%-80% balanced accuracies with constraints on tested compounds. Cross validation of data fusion RASARs show balanced accuracies in the 80%-95% range across 9 health hazards with no constraints on tested compounds. Chemical structure determines the biological properties of substances, though the connection is typically too complex to derive rules for larger parts of the chemical universe, whether by computational means or human understanding (Hartung and Hoffmann, 2009; Patlewicz and Fitzpatrick, 2016). Practical use of structure activity relationships has therefore been largely limited to so-called read-across, ie, the pragmatic comparison to 1 or few similar chemicals, with case-by-case reasoning about the validity of the approach (Patlewicz et al., 2014). This subjective expert-driven approach cannot be quickly applied to large numbers of chemicals. Read-across dependence on human opinion makes evaluation of the technique difficult and prevents reliable estimates of method reproducibility. Read-across approaches have become the predominant nonanimal-testing source of data (
Toxicological Sciences, 2002
There are suspected links between an animal&a... more There are suspected links between an animal's diet, differentiation status of a target tissue, and sensitivity to chemically induced cancer. We have demonstrated that rats fed AIN93G diets made with soy protein isolate (SPI) or whey protein hydrolysate (WPH) had a lower incidence of 7,12-dimethylbenz(a)anthracene (DMBA)-induced adenocarcinoma than rats fed the same diet made with casein (CAS). The current study was conducted to determine the differentiation status of the mammary glands during development. Offspring of rats (n = 5-10/group) were fed diets made with SPI, WPH, or CAS throughout life (beginning on gestation day 4) and were sacrificed on postnatal day (PND) 21, PND 33, PND 50 or on metaestrous between PND 48 and PND 51. There were no significant differences between the numbers of mammary terminal end buds (TEBs) or lobuloalveoli (LOB) between any of the diets groups at PND 21 or PND 33, but at PND 50 there was an 75% decrease in the mean numbers of TEBs/mm(2) in the SPI- or WPH-fed rats, compared with the CAS-fed rats (p = 0.09 and p = 0.06, respectively). In rats sacrificed in metaestrous, there were no significant differences in the proliferation index (PI) in the TEBs or LOB between any of the diet groups. In metaestrous rats, there were twice as many cells expressing estrogen receptor beta (ERbeta; approximately 60%) compared with estrogen receptor alpha (ERalpha; approximately 30%) in the LOB and 1.5 times more ERbeta (approximately 60%) compared with estrogen receptor alpha (ERalpha, approximately 40%) in the TEBs. There were no diet-dependent differences in expression of ERalpha and ERbeta. Similarly, there were no differences between the diet groups in progesterone receptor (PR) expressing LOB cells. However, in the TEBs there was a diet-dependent difference in PR positive cells with a 34% increase (p < 0.05) in the SPI-fed rats and a 38% increase (p < 0.05) in the WPH-fed rats compared with the CAS-fed rats. These results show that the type of dietary protein alters the phenotype of mammary epithelia in the TEBs. The SPI- and WPH-dependent changes in mammary differentiation may contribute to the reduced sensitivity to DMBA-induced mammary cancer in rats fed these proteins.
Molecular pharmacology, 1996
The aryl hydrocarbon (or dioxin) receptor (AhR) is a ligand-activated basic helix-loop-helix (bHL... more The aryl hydrocarbon (or dioxin) receptor (AhR) is a ligand-activated basic helix-loop-helix (bHLH) protein that heterodimerizes with the bHLH protein AhR nuclear translocator (ARNT) to form a complex that binds to xenobiotic regulatory elements in the enhancers of target genes. We used a series of fusion proteins, with a heterologous DNA-binding domain, to study independently the trans-activating function of the human AhR and ARNT proteins in yeast. The results confirm that both the human AhR and ARNT contain carboxyl-terminal trans-activation domains. The AhR has a complex trans-activation domain that is composed of multiple segments that function independently and exhibit varying levels of activation. Furthermore, these regions within the AhR cooperate when linked together, resulting in a synergistic activation of transcription. Fusion proteins of the AhR and ARNT trans-activation domains with the LexA DNA-binding domain, expressed in bacteria and purified to near-homogeneity, st...
Hepatology, 2015
Rodent cancer bioassays indicate that the aryl hydrocarbon receptor (AHR) agonist, 2,3,7,8-tetrac... more Rodent cancer bioassays indicate that the aryl hydrocarbon receptor (AHR) agonist, 2,3,7,8-tetracholorodibenzo-p-dioxin (TCDD), causes increases in both hepatocytic and cholangiocytic tumors. Effects of AHR activation have been evaluated on rodent hepatic stem cells (rHpSCs) versus their descendants, hepatoblasts (rHBs), two lineage stages of multipotent, hepatic precursors with overlapping but also distinct phenotypic traits. This was made possible by defining the first successful culture conditions for ex vivo maintenance of rHpScs consisting of a substratum of hyaluronans and Kubota's medium (KM), a serum-free medium designed for endodermal stem/progenitor cells. Supplementation of KM with leukemia inhibitory factor elicited lineage restriction to rHBs. Cultures were treated with various AHR agonists including TCDD, 6-formylindolo-[3,2-b]carbazole (FICZ), and 3-3'-diindolylmethane (DIM) and then analyzed with a combination of immunocytochemistry, gene expression, and high-content image analysis. The AHR agonists increased proliferation of rHpSCs at concentrations producing a persistent AHR activation as indicated by induction of Cyp1a1. By contrast, treatment with TCDD resulted in a rapid loss of viability of rHBs, even though the culture conditions, in the absence of the agonists, were permissive for survival and expansion of rHBs. The effects were not observed with FICZ and at lower concentrations of DIM. Conclusion: Our findings are consistent with a lineage-dependent mode of action for AHR agonists in rodent liver tumorigenesis through selective expansion of rHpSCs in combination with a toxicityinduced loss of viability of rHBs. These lineage-dependent effects correlate with increased frequency of liver tumors.
Drug Metabolism and Pharmacokinetics, 2011
Species' variation(s) in gene homologues can result in differences among species in their quantit... more Species' variation(s) in gene homologues can result in differences among species in their quantitative and qualitative susceptibility and responsiveness to environmental contaminants. In the case of dioxin-like compounds (DLCs), it has been hypothesized that single nucleotide polymorphisms (SNPs) in genes associated with aryl hydrocarbon receptor (AHR)-regulated pathways may result in greater susceptibility to DLC toxicity. A key step in the activation of AHR involves heterodimerization with the AHR nuclear translocator (ARNT) protein before binding to its DNA response element. The objective of this study w a st oi d e n t i f yS N P si nt h eh u m a nARNT gene that could potentially affect the sensitivity of AHRdependent gene transcription. Results from DNA sequencing of 101 human samples demonstrated the presence of five unique SNPs at the ARNT locus, including three non-synonymous SNPs, of which two were novel: V304M and T462A. The genetic frequencies of the non-synonymous SNPs were very low (¯0.02), and the novel SNPs occurred in the Per-ARNT-Sim (PAS) functional domain. In silico analysis indicated that V304M was the only SNP identified in the current population with the potential to significantly alter ARNT protein function. Our findings indicated a very limited occurrence of SNPs with predicted functional consequence in key domains of human ARNT.
MUMTAZ:MIXTURE TOXICOLOGY O-BK, 2010
Carney, E., Woodburn, K. and Rowlands, C.(2010) Endocrine Active Chemicals, in Principles and Pra... more Carney, E., Woodburn, K. and Rowlands, C.(2010) Endocrine Active Chemicals, in Principles and Practice of Mixtures Toxicology (ed M. Mumtaz), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527630196. ch17
Regulatory Toxicology and Pharmacology, 2014
High throughput (HTS) and high content (HCS) screening methods show great promise in changing how... more High throughput (HTS) and high content (HCS) screening methods show great promise in changing how hazard and risk assessments are undertaken, but scientific confidence in such methods and associated prediction models needs to be established prior to regulatory use. Using a case study of HTS-derived models for predicting in vivo androgen (A), estrogen (E), thyroid (T) and steroidogenesis (S) endpoints in endocrine screening assays, we compare classification (fitting) models to cross validation (prediction) models. The more robust cross validation models (based on a set of endocrine ToxCast™ assays and guideline in vivo endocrine screening studies) have balanced accuracies from 79% to 85% for A and E, but only 23% to 50% for T and S. Thus, for E and A, HTS results appear promising for initial use in setting priorities for endocrine screening. However, continued research is needed to expand the domain of applicability and to develop more robust HTS/HCS-based prediction models prior to their use in other regulatory applications. Based on the lessons learned, we propose a framework for documenting scientific confidence in HTS assays and the prediction models derived therefrom. The documentation, transparency and the scientific rigor involved in addressing the elements in the proposed Scientific Confidence Framework could aid in discussions and decisions about the prediction accuracy needed for different applications.
Boverhof/Toxicogenomics, 2011
... The effect can be partially corrected by using a thermodynamic model to analyze the affinitie... more ... The effect can be partially corrected by using a thermodynamic model to analyze the affinities of individual probe/target pairs on two different microar-rays (Bruun et al., 2007). ... Bruun, GM, Wernersson, R., Juncker, AS, Willenbrock, H., and Nielsen, HB (2007). ...
Critical reviews in toxicology, 2014
The Health and Environmental Sciences Institute (HESI)-coordinated Risk Assessment in the 21st Ce... more The Health and Environmental Sciences Institute (HESI)-coordinated Risk Assessment in the 21st Century (RISK21) project was initiated to develop a scientific, transparent, and efficient approach to the evolving world of human health risk assessment, and involved over 120 participants from 12 countries, 15 government institutions, 20 universities, 2 non-governmental organizations, and 12 corporations. This paper provides a brief overview of the tiered RISK21 framework called the roadmap and risk visualization matrix, and articulates the core principles derived by RISK21 participants that guided its development. Subsequent papers describe the roadmap and matrix in greater detail. RISK21 principles include focusing on problem formulation, utilizing existing information, starting with exposure assessment (rather than toxicity), and using a tiered process for data development. Bringing estimates of exposure and toxicity together on a two-dimensional matrix provides a clear rendition of h...
Toxicology and Applied Pharmacology, 2008
2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a high affinity ligand for the aryl hydrocarbon rec... more 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a high affinity ligand for the aryl hydrocarbon receptor (AhR). In this study, we investigated structure-dependent differences in activation of the AhR by a series of halogenated aromatic hydrocarbons. TCDD, 1,2,3,7,8-pentachlorodibenzo-pdioxin (PeCDD), 2,3,7,8-tetrachlorodibenzofuran (TCDF), 2,3,4,7,8-pentachlorodibenzofuran (PeCDF), and 3,3′,4,4′,5-pentachlorobiphenyl (PCB126) induced CYP1A1-dependent activities in HEK293 human embryonic kidney, Panc1 pancreatic cancer, and Hepa1c1c7 mouse hepatoma cell lines. There was a structure-dependent difference in the efficacy of TCDF and PCB126 in HEK293 and Panc1 cells since induced CYP1A1 mRNA levels were lower than observed for the other congeners. A mammalian two-hybrid assay in cells transfected with GAL4-coactivator and AhR-VP16 chimeras was used to investigate structure-dependent interactions of these chimeras in Panc1, HEK293, and Hepa1c1c7 cells. The reporter construct pGAL4-luc contains five tandem GAL4 response elements linked to the luciferase gene and the GAL4-coactivator chimeras express several coactivators including steroid receptor coactivator 1 (SRC-1), SRC-2 and SRC-3, the mediator coactivator TRAP220, coactivator associated arginine methyl transferase 1 (CARM-1), and peroxisome proliferator-activated receptor γ coactivator 1 (PGC-1). Results of the mammalian two-hybrid studies clearly demonstrate that activation of pGAL4-luc in cells transfected with VP-AhR and GAL4-coactivator chimeras is dependent on the structure of the HAH congener, cell context, and coactivator, suggesting that the prototypical HAH congeners used in this study exhibit selective AhR modulator activity.
Toxicological Sciences, 2013
Based on existing data and previous work, a series of studies is proposed as a basis toward a pra... more Based on existing data and previous work, a series of studies is proposed as a basis toward a pragmatic early step in transforming toxicity testing. These studies were assembled into a datadriven framework that invokes successive tiers of testing with margin of exposure (MOE) as the primary metric. The first tier of the framework integrates data from high-throughput in vitro assays, in vitro-to-in vivo extrapolation (IVIVE) pharmacokinetic modeling, and exposure modeling. The in vitro assays are used to separate chemicals based on their relative selectivity in interacting with biological targets and identify the concentration at which these interactions occur. The IVIVE modeling converts in vitro concentrations into external dose for calculation of the point of departure (POD) and comparisons to human exposure estimates to yield a MOE. The second tier involves short-term in vivo studies, expanded pharmacokinetic evaluations, and refined human exposure estimates. The results from the second tier studies provide more accurate estimates of the POD and the MOE. The third tier contains the traditional animal studies currently used to assess chemical safety. In each tier, the POD for selective chemicals is based primarily on endpoints associated with a proposed mode of action, whereas the POD for nonselective chemicals is based on potential biological perturbation. Based on the MOE, a significant percentage of chemicals evaluated in the first 2 tiers could be eliminated from further testing. The framework provides a risk-based and animal-sparing approach to evaluate chemical safety, drawing broadly from previous experience but incorporating technological advances to increase efficiency.
Toxicological Sciences, 2010
The concentration dose response for aryl hydrocarbon receptor (AHR)-mediated CYP1A1 and CYP1A2 me... more The concentration dose response for aryl hydrocarbon receptor (AHR)-mediated CYP1A1 and CYP1A2 messenger RNA (mRNA) induction and enzyme activity was determined in primary cultures of rat and human hepatocytes for 2,3,7,8tetrachlorodibenzo-p-dioxin, 2,3,4,7,8-pentachlorodibenzofuran, and 2,3,7,8-tetrachlorodibenzofuran. Eleven different congener concentrations from 0.00001 to 100nM were used, thus spanning seven orders of magnitude. The Hill model was used to obtain values of EC x and maximal response from the individual data sets. No-observed effect concentration values were derived using several statistical methods including Dunnett's test, the Welch-Aspin test, and step-down bilinear regression. Thresholds were estimated using baseline projection methods and a ''hockey stick'' fitting method. Human hepatocytes were less responsive and less sensitive with respect to CYP1A1 activity and mRNA induction than rats. On the other hand, the human CYP1A2 response was more robust than the response in rats but generally less sensitive. These data allow an evaluation of relative species sensitivities for developing interspecies toxicodynamic adjustment factors, for assessing AHR activation thresholds, and for evaluating relative congener potencies. Overall, these data support the position that humans are less sensitive than rats to these AHR-dependent end points and support the use of a dataderived adjustment factor of 1.0 or less for extrapolating between rats and humans.
Toxicological Sciences, 2008
Wild mink (Mustela vison) living along the Tittabawassee River in central Michigan exhibit elevat... more Wild mink (Mustela vison) living along the Tittabawassee River in central Michigan exhibit elevated hepatic and dietary polychlorinated dibenzofuran (PCDF) concentrations exceeding mink-specific, literature-reported toxicity reference values (TRVs) on a toxicity equivalents basis. However, no apparent effects on individuals or population are evident, suggesting that available TRVs may overpredict risk for the site-specific mix of congeners. To investigate this discrepancy, a 180-day spiked feed study was conducted to assess: (1) the dosages of key congeners necessary to achieve liver concentrations bracketing those observed in wild mink, (2) time to achieve steady-state concentrations, and (3) effect of coadministration of 2,3,7,8-tetrachlorodibenzofuran (TCDF) and 2,3,4,7,8pentachlorodibenzofuran (4-PeCDF) on the toxicokinetics and distribution of each congener. Adipose and hepatic PCDF concentrations were measured at 0, 90, and 180 days. PCDF concentrations in mink scat were determined at several time points and indicated nearly complete absorption of both TCDF and 4-PeCDF from the diet. Elimination half-times of TCDF were < 15 h and were inversely proportional to dose, while those for 4-PeCDF were approximately 7-9 days with no clear dose dependency in the tested dose range. Coadministration of 4-PeCDF and TCDF accelerated clearance of TCDF compared to administration of TCDF alone. Clearance of 4-PeCDF was not affected by TCDF coadministration. Distribution of 4-PeCDF, but not TCDF, demonstrated increased hepatic sequestration with increasing dose. 4-PeCDF toxicokinetics were described using a previously published two-compartment model. Overall, the toxicokinetic information gathered here illustrates the impact of CYP1A1 induction on bioaccumulation and toxicity potential of TCDF and 4-PeCDF. This information may provide insight into why the current TRVs do not appear to correctly characterize the risk for these two congeners when they are the primary components of an environmental mixture.
Toxicological Sciences, 2008
Temporal analyses were performed on hepatic tissue from immature female C57BL/6 mice in order to ... more Temporal analyses were performed on hepatic tissue from immature female C57BL/6 mice in order to compare the gene expression profiles for 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and 2,3,7,8-tetrachlorodibzofuran (TCDF). Time course studies conducted with a single oral dose of 300 mg/kg TCDF or 30 mg/kg TCDD were used to compare differential gene expression on complementary DNA microarrays containing 13,361 features, representing 8194 genes at 2, 4, 8, 12, 24, 72, 120, and 168 h. One hundred and ninety-five genes were identified as differentially regulated by TCDF, of which 116 genes were in common with TCDD, with 109 exhibiting comparable expression profiles (correlation coefficients > 0.3). In general, TCDF was less effective in eliciting hepatic vacuolization, and differential gene expression compared with TCDD when given at an equipotent dose based on a toxic equivalence factor (TEF) of 0.1 for TCDF, especially 72-h postadministration. For example, the induction of Cyp1a1 messenger RNA by TCDF was less when compared TCDD. Moreover, TCDF induced less severe hepatocyte cytoplasmic vacuolization consistent with lower lipid accumulations which significantly subsided by 120 and 168 h when compared with TCDD. TCDFelicited responses correlated with their hepatic tissue levels which gradually decreased between 18 and 168 h. Although both compounds elicited comparable gene expression profiles, especially at early time points, the TCDF responses were generally weaker. Collectively, these results suggest that the weaker TCDF responses could be attributed to differences in pharmacokinetics. However, more comprehensive dose-response studies are required at optimal times for each end point of interest in order to investigate the effect of pharmacokinetic differences on relative potencies that are important in establishing TEFs.
Pharmacogenetics and Genomics, 2010
The effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin and related dioxin-like chemicals are mediated... more The effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin and related dioxin-like chemicals are mediated through binding-dependent activation of the cytosolic aryl hydrocarbon receptor (AHR). The human AHR is a low-affinity receptor relative to most rodents, but some reports suggest that there may be individuals with polymorphic high-affinity receptors, thereby possibly increasing the sensitivity to dioxins in such people. Although no polymorphisms have been reported in the ligand binding region of the AHR in the over 100 reported sequences, we sequenced 108 additional human AHR genes in an effort to further identify single single nucleotide polymorphisms (SNPs) within the open reading frames of the AHR locus. The DNA was sequenced from six ethnic populations that included Japanese, Chinese, European/Caucasian, African-American, South East Asian, and Hispanic. Six exonic SNPs were identified; four had been described as previously reported and two seem to be novel. Four of the SNPs identified lead to amino acid changes in the AHR protein and two of the SNPs lead to synonymous substitutions. An additional four SNPs have been reported elsewhere that were not identified in the current analysis. With these new sequences, more than 200 human AHR gene sequences have been analyzed for SNPs. The results indicate a very limited presence of polymorphisms in the core ligand binding region of the human AHR. Other regions, such as the transactivation domain, seem to be slightly more polymorphic in the human population and the impact on functionality should be further examined.
Molecular and Cellular Endocrinology, 1990
Treatment of immature female Sprague-Dawley rats with 17 beta-estradiol (5 micrograms/animal) res... more Treatment of immature female Sprague-Dawley rats with 17 beta-estradiol (5 micrograms/animal) resulted in an increase in uterine epidermal growth factor (EGF) receptor binding activity. Moreover, in a separate study it was also shown that 17 beta-estradiol increased steady-state levels of rat uterine EGF receptor mRNA as determined by Northern analysis. In contrast, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) caused a dose-response decrease in constitutive rat uterine EGF receptor binding activity and this was paralleled by a decrease in steady-state levels of uterine EGF receptor mRNA. Cotreatment of the animals with both TCDD (16 nmol/kg) and 17 beta-estradiol (5 micrograms/rat) gave results which showed that TCDD significantly inhibited the estrogen-induced increases in rat uterine EGF receptor binding activity and EGF receptor mRNA levels. These results further extend the range of antiestrogenic properties of TCDD and suggest that the inhibition of growth factor expression may play a role in the growth-inhibiting properties of TCDD in estrogen-responsive tissues or cells.
Journal of Occupational & Environmental Medicine, 2009
We sought to determine if workers exposed to dioxins in pentachlorophenol (PCP) manufacturing wer... more We sought to determine if workers exposed to dioxins in pentachlorophenol (PCP) manufacturing were at increased risk of death from specific causes. We examined death rates among 773 workers exposed to chlorinated dioxins during PCP manufacturing from 1937 to 1980 using serum dioxin evaluations to estimate exposures to five dioxins. Deaths from all causes combined, all cancers combined, lung cancer, diabetes, and ischemic heart disease were near expected levels. There were eight deaths from non-Hodgkin lymphoma (standardized mortality ratios = 2.4, 95% CI = 1.0 to 4.8). We observed no trend of increasing risk for any cause of death with increasing dioxin exposure. However, the highest rates of non-Hodgkin lymphoma were found in the highest exposure group (standardized mortality ratios = 4.5, 95% CI = 1.2 to 11.5). Other than possibly an increased risk of non-Hodgkin lymphoma, we find no other cause of death related to the mixture of the dioxin contaminants found in PCP.
Environmental Health Perspectives, 2021
Kamel Mansouri, Agnes L. Karmaus, Jeremy Fitzpatrick, Grace Patlewicz, Prachi Pradeep, Domenico A... more Kamel Mansouri, Agnes L. Karmaus, Jeremy Fitzpatrick, Grace Patlewicz, Prachi Pradeep, Domenico Alberga, Nathalie Alepee, Timothy E.H. Allen, Dave Allen, Vinicius M. Alves, Carolina H. Andrade, Tyler R. Auernhammer, Davide Ballabio, Shannon Bell, Emilio Benfenati, Sudin Bhattacharya, Joyce V. Bastos, Stephen Boyd, J. B. Brown, Stephen J. Capuzzi, Yaroslav Chushak, Heather Ciallella, Alex M. Clark, Viviana Consonni, Pankaj R. Daga, Sean Ekins, Sherif Farag, Maxim Fedorov, Denis Fourches, Domenico Gadaleta, Feng Gao, Jeffery M. Gearhart, Garett Goh, Jonathan M. Goodman, Francesca Grisoni, Christopher M. Grulke, Thomas Hartung, Matthew Hirn, Pavel Karpov, Alexandru Korotcov, Giovanna J. Lavado, Michael Lawless, Xinhao Li, Thomas Luechtefeld, Filippo Lunghini, Giuseppe F. Mangiatordi, Gilles Marcou, Dan Marsh, Todd Martin, Andrea Mauri, Eugene N. Muratov, Glenn J. Myatt, Dac-Trung Nguyen, Orazio Nicolotti, Reine Note, Paritosh Pande, Amanda K. Parks, Tyler Peryea, Ahsan H. Polash, Robert Rallo, Alessandra Roncaglioni, Craig Rowlands, Patricia Ruiz, Daniel P. Russo, Ahmed Sayed, Risa Sayre, Timothy Sheils, Charles Siegel, Arthur C. Silva, Anton Simeonov, Sergey Sosnin, Noel Southall, Judy Strickland, Yun Tang, Brian Teppen, Igor V. Tetko, Dennis Thomas, Valery Tkachenko, Roberto Todeschini, Cosimo Toma, Ignacio Tripodi, Daniela Trisciuzzi, Alexander Tropsha, Alexandre Varnek, Kristijan Vukovic, Zhongyu Wang, Liguo Wang, Katrina M. Waters, Andrew J. Wedlake, Sanjeeva J. Wijeyesakere, Dan Wilson, Zijun Xiao, Hongbin Yang, Gergely Zahoranszky-Kohalmi, Alexey V. Zakharov, Fagen F. Zhang, Zhen Zhang, Tongan Zhao, Hao Zhu, Kimberley M. Zorn, Warren Casey, and Nicole C. Kleinstreuer
Environmental Health Perspectives, 2021
BACKGROUND: Humans are exposed to tens of thousands of chemical substances that need to be assess... more BACKGROUND: Humans are exposed to tens of thousands of chemical substances that need to be assessed for their potential toxicity. Acute systemic toxicity testing serves as the basis for regulatory hazard classification, labeling, and risk management. However, it is cost-and time-prohibitive to evaluate all new and existing chemicals using traditional rodent acute toxicity tests. In silico models built using existing data facilitate rapid acute toxicity predictions without using animals. OBJECTIVES: The U.S. Interagency Coordinating Committee on the Validation of Alternative Methods (ICCVAM) Acute Toxicity Workgroup organized an international collaboration to develop in silico models for predicting acute oral toxicity based on five different end points: Lethal Dose 50 (LD 50 value, U.S. Environmental Protection Agency hazard (four) categories, Globally Harmonized System for Classification and Labeling hazard (five) categories, very toxic chemicals [LD 50 (LD 50 ≤ 50 mg=kg)], and nontoxic chemicals (LD 50 > 2,000 mg=kg). METHODS: An acute oral toxicity data inventory for 11,992 chemicals was compiled, split into training and evaluation sets, and made available to 35 participating international research groups that submitted a total of 139 predictive models. Predictions that fell within the applicability domains of the submitted models were evaluated using external validation sets. These were then combined into consensus models to leverage strengths of individual approaches. RESULTS: The resulting consensus predictions, which leverage the collective strengths of each individual model, form the Collaborative Acute Toxicity Modeling Suite (CATMoS). CATMoS demonstrated high performance in terms of accuracy and robustness when compared with in vivo results. DISCUSSION: CATMoS is being evaluated by regulatory agencies for its utility and applicability as a potential replacement for in vivo rat acute oral toxicity studies. CATMoS predictions for more than 800,000 chemicals have been made available via the National Toxicology Program's Integrated Chemical Environment tools and data sets (ice.ntp.niehs.nih.gov). The models are also implemented in a free, standalone, open-source tool, OPERA, which allows predictions of new and untested chemicals to be made.
Toxicology Research, 2018
The creation of large toxicological databases and advances in machine-learning techniques have em... more The creation of large toxicological databases and advances in machine-learning techniques have empowered computational approaches in toxicology. Work with these large databases based on regulatory data has allowed reproducibility assessment of animal models, which highlight weaknesses in traditional in vivo methods. This should lower the bars for the introduction of new approaches and represents a benchmark that is achievable for any alternative method validated against these methods. Quantitative Structure Activity Relationships (QSAR) models for skin sensitization, eye irritation, and other human health hazards based on these big databases, however, also have made apparent some of the challenges facing computational modeling, including validation challenges, model interpretation issues, and model selection issues. A first implementation of machine learning-based predictions termed REACHacross achieved unprecedented sensitivities of >80% with specificities >70% in predicting ...
Toxicological Sciences, 2018
Earlier we created a chemical hazard database via natural language processing of dossiers submitt... more Earlier we created a chemical hazard database via natural language processing of dossiers submitted to the European Chemical Agency with approximately 10 000 chemicals. We identified repeat OECD guideline tests to establish reproducibility of acute oral and dermal toxicity, eye and skin irritation, mutagenicity and skin sensitization. Based on 350-700þ chemicals each, the probability that an OECD guideline animal test would output the same result in a repeat test was 78%-96% (sensitivity 50%-87%). An expanded database with more than 866 000 chemical properties/hazards was used as training data and to model health hazards and chemical properties. The constructed models automate and extend the read-across method of chemical classification. The novel models called RASARs (read-across structure activity relationship) use binary fingerprints and Jaccard distance to define chemical similarity. A large chemical similarity adjacency matrix is constructed from this similarity metric and is used to derive feature vectors for supervised learning. We show results on 9 health hazards from 2 kinds of RASARs-"Simple" and "Data Fusion". The "Simple" RASAR seeks to duplicate the traditional read-across method, predicting hazard from chemical analogs with known hazard data. The "Data Fusion" RASAR extends this concept by creating large feature vectors from all available property data rather than only the modeled hazard. Simple RASAR models tested in cross-validation achieve 70%-80% balanced accuracies with constraints on tested compounds. Cross validation of data fusion RASARs show balanced accuracies in the 80%-95% range across 9 health hazards with no constraints on tested compounds. Chemical structure determines the biological properties of substances, though the connection is typically too complex to derive rules for larger parts of the chemical universe, whether by computational means or human understanding (Hartung and Hoffmann, 2009; Patlewicz and Fitzpatrick, 2016). Practical use of structure activity relationships has therefore been largely limited to so-called read-across, ie, the pragmatic comparison to 1 or few similar chemicals, with case-by-case reasoning about the validity of the approach (Patlewicz et al., 2014). This subjective expert-driven approach cannot be quickly applied to large numbers of chemicals. Read-across dependence on human opinion makes evaluation of the technique difficult and prevents reliable estimates of method reproducibility. Read-across approaches have become the predominant nonanimal-testing source of data (
Toxicological Sciences, 2002
There are suspected links between an animal&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;a... more There are suspected links between an animal&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;#39;s diet, differentiation status of a target tissue, and sensitivity to chemically induced cancer. We have demonstrated that rats fed AIN93G diets made with soy protein isolate (SPI) or whey protein hydrolysate (WPH) had a lower incidence of 7,12-dimethylbenz(a)anthracene (DMBA)-induced adenocarcinoma than rats fed the same diet made with casein (CAS). The current study was conducted to determine the differentiation status of the mammary glands during development. Offspring of rats (n = 5-10/group) were fed diets made with SPI, WPH, or CAS throughout life (beginning on gestation day 4) and were sacrificed on postnatal day (PND) 21, PND 33, PND 50 or on metaestrous between PND 48 and PND 51. There were no significant differences between the numbers of mammary terminal end buds (TEBs) or lobuloalveoli (LOB) between any of the diets groups at PND 21 or PND 33, but at PND 50 there was an 75% decrease in the mean numbers of TEBs/mm(2) in the SPI- or WPH-fed rats, compared with the CAS-fed rats (p = 0.09 and p = 0.06, respectively). In rats sacrificed in metaestrous, there were no significant differences in the proliferation index (PI) in the TEBs or LOB between any of the diet groups. In metaestrous rats, there were twice as many cells expressing estrogen receptor beta (ERbeta; approximately 60%) compared with estrogen receptor alpha (ERalpha; approximately 30%) in the LOB and 1.5 times more ERbeta (approximately 60%) compared with estrogen receptor alpha (ERalpha, approximately 40%) in the TEBs. There were no diet-dependent differences in expression of ERalpha and ERbeta. Similarly, there were no differences between the diet groups in progesterone receptor (PR) expressing LOB cells. However, in the TEBs there was a diet-dependent difference in PR positive cells with a 34% increase (p &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; 0.05) in the SPI-fed rats and a 38% increase (p &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt; 0.05) in the WPH-fed rats compared with the CAS-fed rats. These results show that the type of dietary protein alters the phenotype of mammary epithelia in the TEBs. The SPI- and WPH-dependent changes in mammary differentiation may contribute to the reduced sensitivity to DMBA-induced mammary cancer in rats fed these proteins.
Molecular pharmacology, 1996
The aryl hydrocarbon (or dioxin) receptor (AhR) is a ligand-activated basic helix-loop-helix (bHL... more The aryl hydrocarbon (or dioxin) receptor (AhR) is a ligand-activated basic helix-loop-helix (bHLH) protein that heterodimerizes with the bHLH protein AhR nuclear translocator (ARNT) to form a complex that binds to xenobiotic regulatory elements in the enhancers of target genes. We used a series of fusion proteins, with a heterologous DNA-binding domain, to study independently the trans-activating function of the human AhR and ARNT proteins in yeast. The results confirm that both the human AhR and ARNT contain carboxyl-terminal trans-activation domains. The AhR has a complex trans-activation domain that is composed of multiple segments that function independently and exhibit varying levels of activation. Furthermore, these regions within the AhR cooperate when linked together, resulting in a synergistic activation of transcription. Fusion proteins of the AhR and ARNT trans-activation domains with the LexA DNA-binding domain, expressed in bacteria and purified to near-homogeneity, st...
Hepatology, 2015
Rodent cancer bioassays indicate that the aryl hydrocarbon receptor (AHR) agonist, 2,3,7,8-tetrac... more Rodent cancer bioassays indicate that the aryl hydrocarbon receptor (AHR) agonist, 2,3,7,8-tetracholorodibenzo-p-dioxin (TCDD), causes increases in both hepatocytic and cholangiocytic tumors. Effects of AHR activation have been evaluated on rodent hepatic stem cells (rHpSCs) versus their descendants, hepatoblasts (rHBs), two lineage stages of multipotent, hepatic precursors with overlapping but also distinct phenotypic traits. This was made possible by defining the first successful culture conditions for ex vivo maintenance of rHpScs consisting of a substratum of hyaluronans and Kubota's medium (KM), a serum-free medium designed for endodermal stem/progenitor cells. Supplementation of KM with leukemia inhibitory factor elicited lineage restriction to rHBs. Cultures were treated with various AHR agonists including TCDD, 6-formylindolo-[3,2-b]carbazole (FICZ), and 3-3'-diindolylmethane (DIM) and then analyzed with a combination of immunocytochemistry, gene expression, and high-content image analysis. The AHR agonists increased proliferation of rHpSCs at concentrations producing a persistent AHR activation as indicated by induction of Cyp1a1. By contrast, treatment with TCDD resulted in a rapid loss of viability of rHBs, even though the culture conditions, in the absence of the agonists, were permissive for survival and expansion of rHBs. The effects were not observed with FICZ and at lower concentrations of DIM. Conclusion: Our findings are consistent with a lineage-dependent mode of action for AHR agonists in rodent liver tumorigenesis through selective expansion of rHpSCs in combination with a toxicityinduced loss of viability of rHBs. These lineage-dependent effects correlate with increased frequency of liver tumors.
Drug Metabolism and Pharmacokinetics, 2011
Species' variation(s) in gene homologues can result in differences among species in their quantit... more Species' variation(s) in gene homologues can result in differences among species in their quantitative and qualitative susceptibility and responsiveness to environmental contaminants. In the case of dioxin-like compounds (DLCs), it has been hypothesized that single nucleotide polymorphisms (SNPs) in genes associated with aryl hydrocarbon receptor (AHR)-regulated pathways may result in greater susceptibility to DLC toxicity. A key step in the activation of AHR involves heterodimerization with the AHR nuclear translocator (ARNT) protein before binding to its DNA response element. The objective of this study w a st oi d e n t i f yS N P si nt h eh u m a nARNT gene that could potentially affect the sensitivity of AHRdependent gene transcription. Results from DNA sequencing of 101 human samples demonstrated the presence of five unique SNPs at the ARNT locus, including three non-synonymous SNPs, of which two were novel: V304M and T462A. The genetic frequencies of the non-synonymous SNPs were very low (¯0.02), and the novel SNPs occurred in the Per-ARNT-Sim (PAS) functional domain. In silico analysis indicated that V304M was the only SNP identified in the current population with the potential to significantly alter ARNT protein function. Our findings indicated a very limited occurrence of SNPs with predicted functional consequence in key domains of human ARNT.
MUMTAZ:MIXTURE TOXICOLOGY O-BK, 2010
Carney, E., Woodburn, K. and Rowlands, C.(2010) Endocrine Active Chemicals, in Principles and Pra... more Carney, E., Woodburn, K. and Rowlands, C.(2010) Endocrine Active Chemicals, in Principles and Practice of Mixtures Toxicology (ed M. Mumtaz), Wiley-VCH Verlag GmbH &amp; Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527630196. ch17
Regulatory Toxicology and Pharmacology, 2014
High throughput (HTS) and high content (HCS) screening methods show great promise in changing how... more High throughput (HTS) and high content (HCS) screening methods show great promise in changing how hazard and risk assessments are undertaken, but scientific confidence in such methods and associated prediction models needs to be established prior to regulatory use. Using a case study of HTS-derived models for predicting in vivo androgen (A), estrogen (E), thyroid (T) and steroidogenesis (S) endpoints in endocrine screening assays, we compare classification (fitting) models to cross validation (prediction) models. The more robust cross validation models (based on a set of endocrine ToxCast™ assays and guideline in vivo endocrine screening studies) have balanced accuracies from 79% to 85% for A and E, but only 23% to 50% for T and S. Thus, for E and A, HTS results appear promising for initial use in setting priorities for endocrine screening. However, continued research is needed to expand the domain of applicability and to develop more robust HTS/HCS-based prediction models prior to their use in other regulatory applications. Based on the lessons learned, we propose a framework for documenting scientific confidence in HTS assays and the prediction models derived therefrom. The documentation, transparency and the scientific rigor involved in addressing the elements in the proposed Scientific Confidence Framework could aid in discussions and decisions about the prediction accuracy needed for different applications.
Boverhof/Toxicogenomics, 2011
... The effect can be partially corrected by using a thermodynamic model to analyze the affinitie... more ... The effect can be partially corrected by using a thermodynamic model to analyze the affinities of individual probe/target pairs on two different microar-rays (Bruun et al., 2007). ... Bruun, GM, Wernersson, R., Juncker, AS, Willenbrock, H., and Nielsen, HB (2007). ...
Critical reviews in toxicology, 2014
The Health and Environmental Sciences Institute (HESI)-coordinated Risk Assessment in the 21st Ce... more The Health and Environmental Sciences Institute (HESI)-coordinated Risk Assessment in the 21st Century (RISK21) project was initiated to develop a scientific, transparent, and efficient approach to the evolving world of human health risk assessment, and involved over 120 participants from 12 countries, 15 government institutions, 20 universities, 2 non-governmental organizations, and 12 corporations. This paper provides a brief overview of the tiered RISK21 framework called the roadmap and risk visualization matrix, and articulates the core principles derived by RISK21 participants that guided its development. Subsequent papers describe the roadmap and matrix in greater detail. RISK21 principles include focusing on problem formulation, utilizing existing information, starting with exposure assessment (rather than toxicity), and using a tiered process for data development. Bringing estimates of exposure and toxicity together on a two-dimensional matrix provides a clear rendition of h...
Toxicology and Applied Pharmacology, 2008
2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a high affinity ligand for the aryl hydrocarbon rec... more 2,3,7,8-Tetrachlorodibenzo-p-dioxin (TCDD) is a high affinity ligand for the aryl hydrocarbon receptor (AhR). In this study, we investigated structure-dependent differences in activation of the AhR by a series of halogenated aromatic hydrocarbons. TCDD, 1,2,3,7,8-pentachlorodibenzo-pdioxin (PeCDD), 2,3,7,8-tetrachlorodibenzofuran (TCDF), 2,3,4,7,8-pentachlorodibenzofuran (PeCDF), and 3,3′,4,4′,5-pentachlorobiphenyl (PCB126) induced CYP1A1-dependent activities in HEK293 human embryonic kidney, Panc1 pancreatic cancer, and Hepa1c1c7 mouse hepatoma cell lines. There was a structure-dependent difference in the efficacy of TCDF and PCB126 in HEK293 and Panc1 cells since induced CYP1A1 mRNA levels were lower than observed for the other congeners. A mammalian two-hybrid assay in cells transfected with GAL4-coactivator and AhR-VP16 chimeras was used to investigate structure-dependent interactions of these chimeras in Panc1, HEK293, and Hepa1c1c7 cells. The reporter construct pGAL4-luc contains five tandem GAL4 response elements linked to the luciferase gene and the GAL4-coactivator chimeras express several coactivators including steroid receptor coactivator 1 (SRC-1), SRC-2 and SRC-3, the mediator coactivator TRAP220, coactivator associated arginine methyl transferase 1 (CARM-1), and peroxisome proliferator-activated receptor γ coactivator 1 (PGC-1). Results of the mammalian two-hybrid studies clearly demonstrate that activation of pGAL4-luc in cells transfected with VP-AhR and GAL4-coactivator chimeras is dependent on the structure of the HAH congener, cell context, and coactivator, suggesting that the prototypical HAH congeners used in this study exhibit selective AhR modulator activity.
Toxicological Sciences, 2013
Based on existing data and previous work, a series of studies is proposed as a basis toward a pra... more Based on existing data and previous work, a series of studies is proposed as a basis toward a pragmatic early step in transforming toxicity testing. These studies were assembled into a datadriven framework that invokes successive tiers of testing with margin of exposure (MOE) as the primary metric. The first tier of the framework integrates data from high-throughput in vitro assays, in vitro-to-in vivo extrapolation (IVIVE) pharmacokinetic modeling, and exposure modeling. The in vitro assays are used to separate chemicals based on their relative selectivity in interacting with biological targets and identify the concentration at which these interactions occur. The IVIVE modeling converts in vitro concentrations into external dose for calculation of the point of departure (POD) and comparisons to human exposure estimates to yield a MOE. The second tier involves short-term in vivo studies, expanded pharmacokinetic evaluations, and refined human exposure estimates. The results from the second tier studies provide more accurate estimates of the POD and the MOE. The third tier contains the traditional animal studies currently used to assess chemical safety. In each tier, the POD for selective chemicals is based primarily on endpoints associated with a proposed mode of action, whereas the POD for nonselective chemicals is based on potential biological perturbation. Based on the MOE, a significant percentage of chemicals evaluated in the first 2 tiers could be eliminated from further testing. The framework provides a risk-based and animal-sparing approach to evaluate chemical safety, drawing broadly from previous experience but incorporating technological advances to increase efficiency.
Toxicological Sciences, 2010
The concentration dose response for aryl hydrocarbon receptor (AHR)-mediated CYP1A1 and CYP1A2 me... more The concentration dose response for aryl hydrocarbon receptor (AHR)-mediated CYP1A1 and CYP1A2 messenger RNA (mRNA) induction and enzyme activity was determined in primary cultures of rat and human hepatocytes for 2,3,7,8tetrachlorodibenzo-p-dioxin, 2,3,4,7,8-pentachlorodibenzofuran, and 2,3,7,8-tetrachlorodibenzofuran. Eleven different congener concentrations from 0.00001 to 100nM were used, thus spanning seven orders of magnitude. The Hill model was used to obtain values of EC x and maximal response from the individual data sets. No-observed effect concentration values were derived using several statistical methods including Dunnett's test, the Welch-Aspin test, and step-down bilinear regression. Thresholds were estimated using baseline projection methods and a ''hockey stick'' fitting method. Human hepatocytes were less responsive and less sensitive with respect to CYP1A1 activity and mRNA induction than rats. On the other hand, the human CYP1A2 response was more robust than the response in rats but generally less sensitive. These data allow an evaluation of relative species sensitivities for developing interspecies toxicodynamic adjustment factors, for assessing AHR activation thresholds, and for evaluating relative congener potencies. Overall, these data support the position that humans are less sensitive than rats to these AHR-dependent end points and support the use of a dataderived adjustment factor of 1.0 or less for extrapolating between rats and humans.
Toxicological Sciences, 2008
Wild mink (Mustela vison) living along the Tittabawassee River in central Michigan exhibit elevat... more Wild mink (Mustela vison) living along the Tittabawassee River in central Michigan exhibit elevated hepatic and dietary polychlorinated dibenzofuran (PCDF) concentrations exceeding mink-specific, literature-reported toxicity reference values (TRVs) on a toxicity equivalents basis. However, no apparent effects on individuals or population are evident, suggesting that available TRVs may overpredict risk for the site-specific mix of congeners. To investigate this discrepancy, a 180-day spiked feed study was conducted to assess: (1) the dosages of key congeners necessary to achieve liver concentrations bracketing those observed in wild mink, (2) time to achieve steady-state concentrations, and (3) effect of coadministration of 2,3,7,8-tetrachlorodibenzofuran (TCDF) and 2,3,4,7,8pentachlorodibenzofuran (4-PeCDF) on the toxicokinetics and distribution of each congener. Adipose and hepatic PCDF concentrations were measured at 0, 90, and 180 days. PCDF concentrations in mink scat were determined at several time points and indicated nearly complete absorption of both TCDF and 4-PeCDF from the diet. Elimination half-times of TCDF were < 15 h and were inversely proportional to dose, while those for 4-PeCDF were approximately 7-9 days with no clear dose dependency in the tested dose range. Coadministration of 4-PeCDF and TCDF accelerated clearance of TCDF compared to administration of TCDF alone. Clearance of 4-PeCDF was not affected by TCDF coadministration. Distribution of 4-PeCDF, but not TCDF, demonstrated increased hepatic sequestration with increasing dose. 4-PeCDF toxicokinetics were described using a previously published two-compartment model. Overall, the toxicokinetic information gathered here illustrates the impact of CYP1A1 induction on bioaccumulation and toxicity potential of TCDF and 4-PeCDF. This information may provide insight into why the current TRVs do not appear to correctly characterize the risk for these two congeners when they are the primary components of an environmental mixture.
Toxicological Sciences, 2008
Temporal analyses were performed on hepatic tissue from immature female C57BL/6 mice in order to ... more Temporal analyses were performed on hepatic tissue from immature female C57BL/6 mice in order to compare the gene expression profiles for 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and 2,3,7,8-tetrachlorodibzofuran (TCDF). Time course studies conducted with a single oral dose of 300 mg/kg TCDF or 30 mg/kg TCDD were used to compare differential gene expression on complementary DNA microarrays containing 13,361 features, representing 8194 genes at 2, 4, 8, 12, 24, 72, 120, and 168 h. One hundred and ninety-five genes were identified as differentially regulated by TCDF, of which 116 genes were in common with TCDD, with 109 exhibiting comparable expression profiles (correlation coefficients > 0.3). In general, TCDF was less effective in eliciting hepatic vacuolization, and differential gene expression compared with TCDD when given at an equipotent dose based on a toxic equivalence factor (TEF) of 0.1 for TCDF, especially 72-h postadministration. For example, the induction of Cyp1a1 messenger RNA by TCDF was less when compared TCDD. Moreover, TCDF induced less severe hepatocyte cytoplasmic vacuolization consistent with lower lipid accumulations which significantly subsided by 120 and 168 h when compared with TCDD. TCDFelicited responses correlated with their hepatic tissue levels which gradually decreased between 18 and 168 h. Although both compounds elicited comparable gene expression profiles, especially at early time points, the TCDF responses were generally weaker. Collectively, these results suggest that the weaker TCDF responses could be attributed to differences in pharmacokinetics. However, more comprehensive dose-response studies are required at optimal times for each end point of interest in order to investigate the effect of pharmacokinetic differences on relative potencies that are important in establishing TEFs.
Pharmacogenetics and Genomics, 2010
The effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin and related dioxin-like chemicals are mediated... more The effects of 2,3,7,8-tetrachlorodibenzo-p-dioxin and related dioxin-like chemicals are mediated through binding-dependent activation of the cytosolic aryl hydrocarbon receptor (AHR). The human AHR is a low-affinity receptor relative to most rodents, but some reports suggest that there may be individuals with polymorphic high-affinity receptors, thereby possibly increasing the sensitivity to dioxins in such people. Although no polymorphisms have been reported in the ligand binding region of the AHR in the over 100 reported sequences, we sequenced 108 additional human AHR genes in an effort to further identify single single nucleotide polymorphisms (SNPs) within the open reading frames of the AHR locus. The DNA was sequenced from six ethnic populations that included Japanese, Chinese, European/Caucasian, African-American, South East Asian, and Hispanic. Six exonic SNPs were identified; four had been described as previously reported and two seem to be novel. Four of the SNPs identified lead to amino acid changes in the AHR protein and two of the SNPs lead to synonymous substitutions. An additional four SNPs have been reported elsewhere that were not identified in the current analysis. With these new sequences, more than 200 human AHR gene sequences have been analyzed for SNPs. The results indicate a very limited presence of polymorphisms in the core ligand binding region of the human AHR. Other regions, such as the transactivation domain, seem to be slightly more polymorphic in the human population and the impact on functionality should be further examined.
Molecular and Cellular Endocrinology, 1990
Treatment of immature female Sprague-Dawley rats with 17 beta-estradiol (5 micrograms/animal) res... more Treatment of immature female Sprague-Dawley rats with 17 beta-estradiol (5 micrograms/animal) resulted in an increase in uterine epidermal growth factor (EGF) receptor binding activity. Moreover, in a separate study it was also shown that 17 beta-estradiol increased steady-state levels of rat uterine EGF receptor mRNA as determined by Northern analysis. In contrast, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) caused a dose-response decrease in constitutive rat uterine EGF receptor binding activity and this was paralleled by a decrease in steady-state levels of uterine EGF receptor mRNA. Cotreatment of the animals with both TCDD (16 nmol/kg) and 17 beta-estradiol (5 micrograms/rat) gave results which showed that TCDD significantly inhibited the estrogen-induced increases in rat uterine EGF receptor binding activity and EGF receptor mRNA levels. These results further extend the range of antiestrogenic properties of TCDD and suggest that the inhibition of growth factor expression may play a role in the growth-inhibiting properties of TCDD in estrogen-responsive tissues or cells.
Journal of Occupational & Environmental Medicine, 2009
We sought to determine if workers exposed to dioxins in pentachlorophenol (PCP) manufacturing wer... more We sought to determine if workers exposed to dioxins in pentachlorophenol (PCP) manufacturing were at increased risk of death from specific causes. We examined death rates among 773 workers exposed to chlorinated dioxins during PCP manufacturing from 1937 to 1980 using serum dioxin evaluations to estimate exposures to five dioxins. Deaths from all causes combined, all cancers combined, lung cancer, diabetes, and ischemic heart disease were near expected levels. There were eight deaths from non-Hodgkin lymphoma (standardized mortality ratios = 2.4, 95% CI = 1.0 to 4.8). We observed no trend of increasing risk for any cause of death with increasing dioxin exposure. However, the highest rates of non-Hodgkin lymphoma were found in the highest exposure group (standardized mortality ratios = 4.5, 95% CI = 1.2 to 11.5). Other than possibly an increased risk of non-Hodgkin lymphoma, we find no other cause of death related to the mixture of the dioxin contaminants found in PCP.