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The Toxicologist - Society of Toxicology

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38 ROLE OF RIBOTOXIC STRESS AND INNATE IMMUNE<br />

ACTIVATION IN TRICHOTHECENE-INDUCED IGA<br />

NEPHROPATHY.<br />

J. J. Pestka. Microbiology and Molecular Genetics, Michigan State University, East<br />

Lansing, MI.<br />

Prolonged dietary exposure to the 8-ketotrichothecene mycotoxins deoxynivalenol<br />

(DON) and nivalenol (NIV) in the mouse induces aberrant polyclonal IgA upregulation<br />

and subsequent kidney IgA deposition in a manner that mimics the early<br />

stages <strong>of</strong> human IgA nephropathy (IgAN). A critical underlying mechanism for<br />

DON-induced IgA hyperproduction is systemic upregulation <strong>of</strong> IL-6 via transcriptional<br />

and post-transcriptional mechanisms. Induction <strong>of</strong> IL-6 and other proinflammatory<br />

genes is mediated by activation <strong>of</strong> mitogen-activated protein kinases in<br />

macrophages and monocytes - effects that can be recapitulated in intact animals.<br />

One initiating mechanism for the DON-induced ribotoxic stress response involves<br />

the activation <strong>of</strong> constitutive ribosome-associated protein kinases (1)doublestranded<br />

RNA (dsRNA)-activated protein kinase (PKR) and (2)hematopoetic cell<br />

kinase (Hck), a non-receptor associated Src oncogene family kinase. A second<br />

mechanism involves autophagy <strong>of</strong> the chaperone GRP78 with consequent activation<br />

<strong>of</strong> the ER stress response. A coherent model will be presented for the sequence<br />

<strong>of</strong> molecular events at the ribosome level that modulate intracellular signaling,<br />

drive IL-6 induction and ultimately induce aberrant IgA upregulation.<br />

39 RICIN AND SHIGA TOXINS INTERACT DIFFERENTLY<br />

WITH THE RIBOSOMAL STALK.<br />

N. Tumer 1 , J. Chiou 1 , X. Li 1 , M. Remacha 2 and J. P. Ballesta 2 . 1 Rutgers<br />

University, New Brunswick, NJ and 2 Universidad Autonoma de Madrid, Madrid,<br />

Spain. Sponsor: J. Pestka.<br />

<strong>The</strong> A subunits <strong>of</strong> Shiga-like toxins (Stx1 and Stx2) and ricin (RTA) are N-glycosidases<br />

that specifically remove an adenine from the α–sarcin/ricin loop (SRL) <strong>of</strong> the<br />

large rRNA, resulting in inhibition <strong>of</strong> protein synthesis. In our previous work, we<br />

showed that P proteins <strong>of</strong> the ribosomal stalk are critical for RTA to depurinate the<br />

SRL in yeast. <strong>The</strong> interaction between RTA and ribosomes did not follow a simple<br />

1:1 interaction model and was characterized by a two-step binding model. Using<br />

purified, in vivo assembled, ribosomal stalk complexes from yeast, we showed a direct<br />

interaction between RTA and the isolated stalk complex that fit a simple 1:1<br />

interaction model. <strong>The</strong>refore, the interaction between the isolated stalk and RTA<br />

represented one <strong>of</strong> the two binding steps <strong>of</strong> the two-step binding model. We<br />

showed that P proteins <strong>of</strong> the ribosomal stalk are also critical for Stx1 and Stx2 to<br />

depurinate the SRL in yeast. Stx1 depurinated ribosomes less efficiently than RTA<br />

or Stx2 in a yeast strain with a modified stalk (ΔAB), in which P protein binding<br />

sites are deleted, suggesting that cytosolic P1/P2 proteins stimulate the depurination<br />

activity <strong>of</strong> Stx1 when they are able to bind to the stalk. <strong>The</strong> addition <strong>of</strong> purified<br />

P1α/P2β heterodimer stimulated in vitro depurination <strong>of</strong> ribosomes from the<br />

ΔP1 strain, which contains the binding sites for P1/P2 heterodimers, but not ribosomes<br />

from the ΔAB strain. <strong>The</strong> stimulation was greater for Stx1 than for RTA or<br />

Stx2, indicating that cytosolic P1/P2 proteins are more critical for Stx1 to access the<br />

ribosomal stalk. Addition <strong>of</strong> the P1α/P2β heterodimer did not stimulate depurination<br />

<strong>of</strong> ribosomes from the ΔAB strain, indicating that the free P1/P2 proteins do<br />

not directly stimulate the enzymatic activity <strong>of</strong> the toxins. Instead, they appear to<br />

bind to the toxins in the cytosol and recruit them to the ribosomal stalk. <strong>The</strong>se results<br />

provide the first evidence that differences in the interaction <strong>of</strong> RTA, Stx1 and<br />

Stx2 with the ribosomal stalk contribute to their relative depurination activity and<br />

cytotoxicity.<br />

40 DISEASE PREVENTION: THE NEXT 50 YEARS.<br />

H. Zarbl. Environmental and Occupational Health Sciences Institiute, Robert Wood<br />

Johnson Medical School, Piscataway, NJ.<br />

<strong>The</strong> science <strong>of</strong> toxicology has had a tremendous impact on preventing adverse effects<br />

<strong>of</strong> environmental toxicants, consumer products, and drugs on human health.<br />

<strong>The</strong> <strong>Society</strong> <strong>of</strong> <strong>Toxicology</strong> played a pivotal role in developing the practice <strong>of</strong> toxicology<br />

as a pr<strong>of</strong>ession and a research discipline. As the <strong>Society</strong> embarks on its next<br />

fifty years, new opportunities and challenges will no doubt change the role <strong>of</strong> toxicology<br />

in the improving human health. High- throughput genomic technologies<br />

are increasingly providing mechanistic insights into how exposure to toxicants interacts<br />

with other exposures, genetic background, diet, lifestyle, co-morbid disease<br />

and numerous other factors to modulate the disease risk. <strong>The</strong> <strong>Society</strong> thus has an<br />

opportunity to once again play a leading role in improving public health by not<br />

only preventing toxicity, but by developing approaches to predicting and preventing<br />

disease in those already exposed and, by identifying individuals or populations<br />

8 SOT 2011 ANNUAL MEETING<br />

at increased risk from exposures. <strong>The</strong>refore, the future <strong>of</strong> toxicology should include<br />

an increasing presence in disease prevention through biomarker based exposure and<br />

risk assessment, and individualized intervention, chemoprevention, and predictive<br />

toxicology. <strong>The</strong>se emerging approaches will be reviewed to provide a roadmap for<br />

increasing the role <strong>of</strong> mechanistically based, predictive toxicology and ‘omics technologies<br />

in disease prevention.<br />

41 ASSESSING THE IMPACT OF INTER-INDIVIDUAL<br />

GENETIC VARIABILITY ON TOXICITY THROUGH<br />

TOXICOGENOMIC DATA.<br />

I. Rusyn. Environmental Science and Engineering, University <strong>of</strong> North Carolina,<br />

Chapel Hill, NC.<br />

In the field <strong>of</strong> toxicogenomics, little attention is paid to the fact that transcript expression<br />

is a heritable trait and that genetic control <strong>of</strong> mRNA levels may present a<br />

challenge for using genomics in population studies. Gene expression Quantitative<br />

Trait Locus (eQTL) mapping is one <strong>of</strong> the new tools to evaluate the association between<br />

transcript expression and genotype in order to find genomic locations that<br />

are likely to regulate transcript expression. <strong>The</strong> availability <strong>of</strong> both gene expression<br />

and high density genotype data has enabled eQTL mapping in animal and human<br />

populations. <strong>The</strong>se analyses have contributed significantly to our understanding <strong>of</strong><br />

the impact that SNPs have on the physiological processes in multiple tissues, in<br />

both animals and humans. Furthermore, these studies show that genetic regulation<br />

<strong>of</strong> gene expression is a key contributor to population diversity through previously<br />

unknown mechanisms. eQTL mapping is a key new approach in toxicogenomic<br />

analyses for the evaluation <strong>of</strong> the potential role <strong>of</strong> genetic polymorphisms in the role<br />

that environmental exposures may play in the pathogenesis <strong>of</strong> common diseases.<br />

42 COMBINING THE GENOME WITH ITS EXPOSOME<br />

FOR MECHANISTICALLY-BASED DISEASE<br />

PREVENTION.<br />

C. P. Wild. International Agency for Cancer Research, Lyon, France. Sponsor: H. Zarbl.<br />

It has long been appreciated that both genes and environment play a critical role in<br />

the etiopathogenesis <strong>of</strong> disease. While genetic background can now be accurately<br />

and rapidly determined using high-throughput technologies, exposure assessment<br />

still faces the limitations inherent in questionnaire data or extrapolation from ambient<br />

toxicant levels, for example. However the availability <strong>of</strong> –omics technologies<br />

and other advances in laboratory sciences coupled with new insights into underlying<br />

disease mechanisms (e.g. epigenetics) present exciting opportunities to refine<br />

environmental exposure assessment. On this basis the concept <strong>of</strong> the exposome was<br />

proposed, representing the sum <strong>of</strong> all exposures from conception onward, to complement<br />

the genome as a critical quantitative measure on which to investigate disease<br />

risk and prevention. <strong>The</strong> presentation will introduce the concept <strong>of</strong> the exposome,<br />

evaluate its potential applications, limitations and outline the roles <strong>of</strong><br />

epidemiologists and laboratory scientists in elucidating the components <strong>of</strong> the<br />

human exposome.<br />

43 TOP-DOWN EXPOSOMIC STRATEGIES TO<br />

CHARACTERIZE THE HUMAN EXPOSOME.<br />

M. Smyth. University <strong>of</strong> California, Berkeley, CA.<br />

Researchers interested in the causes <strong>of</strong> disease rely upon increasingly sophisticated<br />

gene-wide association studies (GWAS) to evaluate genetic differences across populations,<br />

while using questionnaires to characterize environmental exposures.<br />

Because inaccurate and imprecise estimation <strong>of</strong> ‘environmental’ exposures (including<br />

stress, diet, and both exogenous and endogenous chemical exposures) can severely<br />

bias inferences regarding environmental causes <strong>of</strong> diseases and gene-environment<br />

(G x E) interactions, this imbalance in data quality between genetic and<br />

environmental factors is problematic. What we need are environmental analogs <strong>of</strong><br />

GWAS to characterize the “exposome” and open the door to discovery <strong>of</strong> the environmental<br />

causes <strong>of</strong> disease. Currently researchers use bottom-up exposomics<br />

where they assume a priori that they know what to look for and try to measure it.<br />

In top-down exposomics you take an agnostic discovery-based view and look for<br />

patterns, then attempt to find out what those patterns reflect in terms <strong>of</strong> exposure.<br />

Using a combination <strong>of</strong> omic high-throughput technologies, it should be possible<br />

to characterize the “human exposome”, in which exposures from all environmental<br />

sources (diet, stress, chemicals etc) are assessed. This top-down discovery-based approach<br />

should work because the technologies are available now but currently require<br />

too much material and are too expensive (similar to DNA sequencing 20

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