27.07.2013 Views

The Toxicologist - Society of Toxicology

The Toxicologist - Society of Toxicology

The Toxicologist - Society of Toxicology

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

time intervals. <strong>The</strong> percentage increase ranged from ~5% to ~15% with the largest<br />

increases seen at 500 ppm TCE with 500 ppm CHCl3. <strong>The</strong>se model simulations<br />

indicate that increased blood concentrations <strong>of</strong> TCE (and increased neurotoxicity)<br />

may result from co-exposure to CHCl3. Similar simulations conducted with our<br />

human model (currently under development) will allow us to evaluate the degree <strong>of</strong><br />

increased risk at low concentrations typically seen in the environment and at high<br />

concentrations that might result from accidental or intentional chemical releases.<br />

(This abstract does not reflect EPA policy.)<br />

1582 A COMPUTATIONAL FRAMEWORK FOR<br />

CUMULATIVE RISK ASSESSMENT.<br />

D. A. Sarigiannis 1, 2 , A. Gotti 3 and S. Karakitsios 1 . 1 Institute for Health and<br />

Consumer Protection, European Commission - Joint Research Centre, Ispra, Varese,<br />

Italy, 2 Chemical Engineering Department Aristotle University <strong>of</strong> <strong>The</strong>ssaloniki,<br />

<strong>The</strong>ssaloniki, Greece and 3 CPERI, CERTH, <strong>The</strong>rmi, Greece. Sponsor: T. Hartung.<br />

<strong>The</strong> complexity in quantitatively estimating human exposure to environmental<br />

chemicals originates from the need to assess their aggregate and cumulative exposure;<br />

the assessment becomes even more complex when mixture effects need to be<br />

taken into account. In this study a framework for quantitative cumulative assessment<br />

<strong>of</strong> the biologically effective dose <strong>of</strong> several interacting environmental chemicals<br />

is developed in order to better take into account biomarkers <strong>of</strong> exposure towards<br />

compiling the exposome. <strong>The</strong> integrated modelling environment was<br />

implemented in a single computational platform (asclXtreme) including emissions,<br />

dispersion, exposure modelling, internal dose and health risk. A central novel component<br />

<strong>of</strong> the platform is a generic Physiology Based ToxicoKinetic/Dynamic<br />

(PBTK/D) model, coupled to a Biology Based Dose Response (BBDR) model.<br />

Uncertainty and variability <strong>of</strong> the affecting parameters were estimated through<br />

Marcov Chain Monte Carlo. Risk from co-exposure to benzene, toluene, ethylbenzene<br />

and xylenes (BTEX) were selected as case study under different environmental<br />

exposure scenarios. <strong>The</strong> methodology permits the estimation <strong>of</strong> health risks capturing<br />

the continuously changing environmental and biological dynamics. <strong>The</strong> integrated<br />

modeling platform was tested in several BTEX exposure scenarios (occupational<br />

and environmental). <strong>The</strong> estimation <strong>of</strong> both cancer and neurotoxicity risk<br />

due to benzene and toluene was much refined when the internal dose <strong>of</strong> the parent<br />

substance and its metabolites rather than only personal exposure linked to epidemiological<br />

relations was taken into account. This is due to two reasons: (a)<br />

Aggregation <strong>of</strong> exposure through different microenvironments with continuously<br />

changing concentrations results in differences in the daily variation time pr<strong>of</strong>ile <strong>of</strong><br />

external exposure and internal dose; (b) <strong>The</strong> presence <strong>of</strong> co-exposure to the other<br />

VOCs in the mixture affects the levels <strong>of</strong> benzene metabolites through inhibition <strong>of</strong><br />

benzene metabolism.<br />

1583 USE OF A CUSTOM RT-PCR ARRAY TO ANALYZE<br />

TOXICITY PATHWAYS AT DIFFERENT LIFE STAGES IN<br />

BROWN NORWAY RAT BRAIN FOLLOWING ACUTE<br />

TOLUENE EXPOSURE.<br />

J. E. Royland 1 , P. R. Kodavanti 2 , G. W. Knapp 1 and R. C. MacPhail 2 . 1 Integrated<br />

Systems <strong>Toxicology</strong> Division U.S. EPA, Research Triangle Park, NC and 2 Toxicity<br />

Assessment Division, U.S. EPA, Research Triangle Park, NC.<br />

To investigate the contribution <strong>of</strong> different life stages on response to toxicants, we<br />

utilized a custom designed RT-PCR array to examine the effects <strong>of</strong> acute oral exposure<br />

<strong>of</strong> the volatile organic solvent toluene (0, 0.65 or 1.0 g/kg) in the brains <strong>of</strong><br />

male Brown Norway rats at 4, 12 and 24 months <strong>of</strong> age. Toluene is a known neurotoxicant<br />

with effects on cognition, motor activity and neurotransmitters in the<br />

central nervous system. <strong>The</strong> objective was to explore the toxicity pathways that contribute<br />

to the adverse effects <strong>of</strong> toluene exposure, and to determine if the response<br />

is age-dependent. In this study, we examined gene expression in cerebellum, striatum,<br />

hippocampus and frontal cortex 4 hours post-dosing using a custom RT-PCR<br />

array containing 30 genes representing key toxicity pathways involving energy metabolism,<br />

oxidative stress, neuronal plasticity, immune and stress responses. Results<br />

showed that the effect <strong>of</strong> age exceeded that <strong>of</strong> toluene on the number <strong>of</strong> genes affected<br />

(approx 2 to 5x depending on brain area). With the exception <strong>of</strong> the toluene<br />

effect in striatum, percent <strong>of</strong> up regulation (averaged ~80% with age and near<br />

100% with toluene) exceeded that <strong>of</strong> down regulation in this subset <strong>of</strong> genes selected<br />

as possible markers <strong>of</strong> susceptibility. Based on number <strong>of</strong> genes affected, cerebellum<br />

displayed the greatest sensitivity. However, based on direction <strong>of</strong> expression<br />

changes, striatum was most vulnerable. <strong>The</strong>se data indicate that response to toxicant<br />

exposure is impacted by life stage, which, in itself, affects gene expression levels.<br />

Data also indicate variability in response across brain areas, with degree and direction<br />

<strong>of</strong> change depending upon condition tested. <strong>The</strong>se ongoing studies<br />

contribute to defining a genomic model <strong>of</strong> toxicity pathways in the nervous system<br />

and their modification with aging. (This abstract does not necessarily reflect U.S.<br />

EPA policy).<br />

340 SOT 2011 ANNUAL MEETING<br />

1584 COMPARATIVE ANALYSIS OF TCDD-ELICITED GENE<br />

EXPRESSION PROFILES IN HUMAN, MOUSE, AND<br />

RAT PRIMARY HEPATOCYTES.<br />

E. Dere, A. L. Forgacs and T. R. Zacharewski. Michigan State University, East<br />

Lansing, MI.<br />

TCDD is a ubiquitous environmental contaminant that induces species-specific effects.<br />

A comparative approach was utilized to examine TCDD-elicited time- and<br />

dose-dependent differential hepatic gene expression in human, mouse, and rat primary<br />

hepatocytes isolated from immature Sprague-Dawley rats, CD-1 mice and 3<br />

post-menopausal, non-obese, non-smoking Caucasian donors, respectively. Cells<br />

were treated with 10 nM TCDD or DMSO vehicle control for 1, 2, 4, 8, 12, 24<br />

and 48 h, or with 0.001, 0.01, 0.1, 1, 10 or 100 nM TCDD for 12 and 24 h.<br />

Whole-genome microarrays identified 2423, 763 and 541 differentially expressed<br />

genes across time in human, mouse, and rat hepatocytes, respectively (P1(t)>0.9<br />

and |fold change|>1.5). Only 17 orthologs were responsive to TCDD in all three<br />

species, including Cyp1a1, Cyp1a2 and Tiparp. Cyp1a1 exhibited dose-dependent<br />

induction in all species with EC50 values <strong>of</strong> 0.04 nM for human, 0.05 nM for<br />

mouse, and 0.02 nM for rat hepatocytes at 12 h. However, commonly regulated<br />

genes across all species exhibited divergent expression pr<strong>of</strong>iles. For example, Bcl2like<br />

11, apoptosis facilitator (Bcl2l11) was induced by TCDD in the mouse and rat<br />

~2-4-fold but repressed ~4-fold in the human hepatocytes. Meanwhile, 2097, 533<br />

and 400 genes were unique to the mouse, rat and human, respectively, demonstrating<br />

that the majority <strong>of</strong> TCDD-elicited changes were species-specific. Functional<br />

annotation <strong>of</strong> differentially regulated genes identified processes related to lipid metabolism,<br />

molecular transport and cellular growth, and proliferation in all three<br />

species, suggesting conserved modes <strong>of</strong> action but different mechanisms <strong>of</strong> action.<br />

Thus, although the AhR and its signaling mechanism is highly conserved, speciesspecific<br />

gene expression pr<strong>of</strong>iles likely determine the species-specific effects <strong>of</strong><br />

TCDD. Funded by SBRP P42ES04911.<br />

1585 DESCRIPTIVE ’OMICS OF ACETAMINOPHEN IN<br />

HUMANS.<br />

M. Jetten 1 , S. Gaj 1 , A. Ruiz-Aracama 2 , T. de Kok 1 , J. van Delft 1 , S. Claessen 1 ,<br />

A. Lommen 2 , A. Peijnenburg 2 , L. Pellis 3 , E. van Someren 3 , R. Stierum 3 and J.<br />

Kleinjans 1 . 1 Health Risk Analysis & <strong>Toxicology</strong>, Maastricht University, Maastricht,<br />

Netherlands, 2 Institute <strong>of</strong> Food Safety, RIKILT, Wageningen, Netherlands and<br />

3 Quality <strong>of</strong> Life, TNO, Zeist, Netherlands. Sponsor: H. van Loveren.<br />

Genomics and metabolomics, so called ‘omics technologies, have undergone major<br />

improvements over the last decade. As a result, their applicability to human observational<br />

studies has become feasible over the recent past. <strong>The</strong> present study aims at<br />

investigating the capability <strong>of</strong> transcriptomic and metabolomic techniques to measure<br />

low dose effects <strong>of</strong> the well-investigated hepatotoxic compound acetaminophen<br />

(paracetamol or APAP) in blood/urine from healthy individuals. Both metabolomic<br />

(NMR/UPLC-TOF-MS) and genomic (mRNA/miRNA arrays) technologies were<br />

applied to a study on blood and urine from 6 healthy volunteers exposed to 0.5, 2<br />

and 4 gram APAP/24 hours. Blood was collected after 0, 1, 7 and 24 hours <strong>of</strong> APAP<br />

exposure and urine was collected both before and during the APAP exposure window.<br />

<strong>The</strong> results showed the hepatotoxic phase I metabolites <strong>of</strong> APAP (NAPQIbound<br />

metabolites) to increase with APAP dose. Also, several novel APAP metabolites<br />

were identified. Transcriptomics analysis at the mRNA level indicated immune<br />

and toxicity related pathways to be affected after 2 and/or 4 gram APAP/24 hour<br />

exposure. miRNAs also indicated that similar pathways were affected. At the lowest<br />

dose <strong>of</strong> 0.5 gram APAP/24 hours, the limit <strong>of</strong> detection <strong>of</strong> ‘omics analysis in<br />

blood/urine from humans appears to be reached. Classic clinical test were not able<br />

to detect responses indicative for liver toxicity in blood at any <strong>of</strong> the exposure doses.<br />

From this we conclude that in ‘omic techniques are able to detect exposure to low<br />

APAP doses and have the power <strong>of</strong> revealing a wealth <strong>of</strong> biological information.<br />

Even though only therapeutic doses were used and there were no signs <strong>of</strong> overt liver<br />

toxicity, effects related to both efficacy and toxicity were measured, supporting the<br />

applicability <strong>of</strong> ‘omics as an observational tool for human studies.<br />

1586 CISPLATIN-INDUCED GENOTOXIC STRESS IN<br />

PRIMARY MOUSE HEPATOCYTES, MOUSE<br />

EMBRYONIC STEM CELLS, AND HEPG2 CELLS.<br />

L. Rieswijk 1, 2 , D. Lizárraga 1, 2 , K. Brauers 1 , B. van de Water 2, 3 , H. Vrieling 2, 3 ,<br />

J. van Delft 1, 2 and J. Kleinjans 1, 2 . 1 Health Risk Analysis and <strong>Toxicology</strong>, Maastricht<br />

University, Maastricht, Netherlands, 2 Netherlands Toxicogenomics Centre,<br />

Maastricht, Netherlands and 3 Toxicogenetics, LUMC, Leiden, Netherlands. Sponsor:<br />

H. van Loveren.<br />

By focusing on relatively new fields <strong>of</strong> toxicogenomics, such as epigenetics and<br />

microRNA (miRNA), this current NTC project tries to reveal novel mechanisms<br />

by which genotoxic and non-genotoxic compounds could act. MiRNAs regulate

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!