27.07.2013 Views

The Toxicologist - Society of Toxicology

The Toxicologist - Society of Toxicology

The Toxicologist - Society of Toxicology

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Reduction <strong>of</strong> Animals in Research established a group <strong>of</strong> toxicologists from the<br />

UK’s major pharmaceutical companies and contract research organisations in order<br />

to share practice and identify areas for application <strong>of</strong> the 3Rs whilst ensuring that<br />

the scientific objectives and regulatory requirements <strong>of</strong> such studies are still met. A<br />

cross company review <strong>of</strong> numbers <strong>of</strong> animals used in general toxicology and carcinogenicity<br />

studies was carried out. <strong>The</strong> results showed there is some variation in<br />

the numbers <strong>of</strong> animals used. <strong>The</strong> reasons for this have been explored and the information<br />

used to develop a series <strong>of</strong> approaches where small changes in practice<br />

may reduce animal use. We recommend these approaches are used where possible<br />

but they will not be appropriate for all studies or programmes. Practical considerations<br />

are given on: reducing the number <strong>of</strong> animals to obtain toxicokinetic (TK)<br />

data; incorporating male fertility assessment into the six-month rodent toxicology<br />

study; including fewer recovery animals; and, using transgenic mice, single control<br />

groups and appropriate strains in carcinogenicity studies. <strong>The</strong> data collected<br />

demonstrate that the largest influence on animal numbers in rodent toxicity studies<br />

is for TK pr<strong>of</strong>iling. <strong>The</strong>refore, the most significant contribution to reducing the<br />

number <strong>of</strong> animals is likely to be the development <strong>of</strong> analytical techniques which<br />

would allow analysis using smaller sample volumes.<br />

1564 THE LIMITED VALUE OF ACUTE TOXICITY TESTS IN<br />

SAFETY ASSESSMENT.<br />

S. Robinson 1 , S. Creton 2 and K. Chapman 2 . 1 AstraZeneca, Macclesfield, Cheshire,<br />

United Kingdom and 2 NC3Rs, London, United Kingdom.<br />

A collaboration, led by the National Centre for the Replacement, Refinement and<br />

Reduction <strong>of</strong> Animals in Research (NC3Rs) and AstraZeneca, analysed data from<br />

70 compounds across therapeutic areas and demonstrated that acute toxicity studies<br />

had no value in risk assessment before the first clinical trials in humans1. In addition,<br />

consensus between clinicians, toxicologists, regulators and Poison Centres has<br />

been reached that acute toxicity studies are not used for managing overdose <strong>of</strong> pharmaceuticals<br />

and are <strong>of</strong> little value in treating human poisoning from chemicals2.<br />

<strong>The</strong>refore, the last remaining driver for acute toxicity studies for pharmaceuticals<br />

has been removed. <strong>The</strong> impact <strong>of</strong> the pharmaceutical sector initiative has stimulated<br />

efforts to review the value <strong>of</strong> acute toxicity testing in other sectors. A working<br />

group, led by the NC3Rs, has highlighted circumstances where acute toxicity testing<br />

<strong>of</strong> non-pharmaceutical chemicals is redundant and may be avoided3. In addition,<br />

the European Partnership for Alternative Approaches to Animal Testing<br />

(EPAA), has established a multi-stakeholder team (including AstraZeneca, NC3Rs,<br />

ECVAM, the Humane <strong>Society</strong> and representatives <strong>of</strong> industry sectors) which has<br />

demonstrated that the primary regulatory driver for conducting acute toxicity studies<br />

across non-pharmaceutical sectors is classification and labelling 4. Further work<br />

into the value <strong>of</strong> acute toxicity studies for classification purposes is ongoing. <strong>The</strong>se<br />

collaborations demonstrate the opportunities provided by creating a forum for a<br />

wide range <strong>of</strong> stakeholders to review whether animal toxicity studies are providing<br />

the data needed to make assessments <strong>of</strong> risk to human safety. <strong>The</strong> results will enable<br />

consensus to be reached on how to reduce the number <strong>of</strong> animals used and make<br />

the drug and chemical development process more efficient. 1 Robinson, S et al<br />

(2008). Regulatory <strong>Toxicology</strong> and Pharmacology, 50(3), 345-352<br />

2 Chapman, K et al (2010). Regulatory <strong>Toxicology</strong> and Pharmacology, in press. 3<br />

Creton, S et al (2010). Critical Reviews in <strong>Toxicology</strong>, 40: 50-83. 4 Seidle T, et al<br />

(2010) Toxicological Sciences, 116, 382-396<br />

1565 RISK ASSESSMENT OF ACETALDEHYDE (A TOBACCO<br />

SMOKE TOXICANT): INTEGRATION OF MARGIN OF<br />

EXPOSURE (MOE) AND MODE-OF-ACTION (MOA)<br />

EVALUATIONS.<br />

F. H. Cunningham, S. Fiebelkorn and C. Meredith. Group R&D, British<br />

American Tobacco, Southampton, United Kingdom.<br />

Identification <strong>of</strong> tobacco smoke toxicants for the purpose <strong>of</strong> product regulation has<br />

seen significant growth during recent years. Trends have been toward providing a<br />

quantitative risk estimate <strong>of</strong> the contribution <strong>of</strong> individual toxicants to disease with<br />

the aim <strong>of</strong> establishing priorities for risk reduction research. We previously proposed<br />

adoption <strong>of</strong> the Margins <strong>of</strong> Exposure (MOE) model, as part <strong>of</strong> a quantitative<br />

risk assessment paradigm. This model permits evaluation <strong>of</strong> both genotoxic and<br />

carcinogenic compounds and we propose its application to toxicants found in tobacco<br />

smoke. Our approach is to calculate MOE values from a range <strong>of</strong> published<br />

studies to determine consistency within available data sets. Computed MOEs enable<br />

segregation <strong>of</strong> toxicants into high and low priority groupings for risk reduction<br />

research depending on their relationship to the critical MOE value <strong>of</strong> 10,000. We<br />

suggest the integrated approach <strong>of</strong> using the MOE modeling technique in conjunction<br />

with the preparation <strong>of</strong> a mode <strong>of</strong> action (MOA) review. <strong>The</strong> example given<br />

here is for acetaldehyde where a proposed MOA consists <strong>of</strong> four key events eventually<br />

progressing to the development <strong>of</strong> tumours, coinciding with increasing expo-<br />

336 SOT 2011 ANNUAL MEETING<br />

sure duration or dose. In line with the MOA, MOEs can be calculated for each <strong>of</strong><br />

the identified key events: Cytotoxicity (Degeneration with hyper/metaplasia) =<br />

1733 – 2007.; Genotoxicity = 1.9 – 896.; Hyper/Metaplasia = 771 – 1810.;<br />

Tumours = 165 – 1382. This integrated approach is the first step in combining risk<br />

assessment methodologies to produce a more physiologically relevant outcome.<br />

However, we also suggest that other tools, such as physiologically-based pharmacokinetic<br />

(PBPK) modelling, be used to ascertain a toxicants importance to smokingrelated<br />

diseases. Further work should also investigate the options surrounding cumulative<br />

risk assessment, which may be <strong>of</strong> particular relevance to toxicants which<br />

share structural and biological activity patterns. This may begin to account for<br />

complex mixture exposure, as is the case for cigarette smoke.<br />

1566 CONTINUOUS INTRAVENOUS INFUSION STUDIES<br />

WITH IMPLANTED PORT CATHETER SYSTEMS IN<br />

FREE RANGING CYNOMOLGUS MONKEYS—A 20<br />

YEAR EXPERIENCE REPORT.<br />

S. H. Korte, P. Nowak, S. Friderichs-Gromoll, J. Kaspareit and E. Buse. Covance<br />

Laboratories GmbH, Muenster, Germany. Sponsor: G. Weinbauer.<br />

Numerous pharmaceuticals and recently an increasing list <strong>of</strong> monoclonal antibodies<br />

undergoing regulatory pre-clinical trials in non human primates (NHP) are administered<br />

intravenously, <strong>of</strong>ten by continuous infusion. This overview summarizes<br />

experience from 447 Cynomolgus monkeys between 1989 and 2009, which underwent<br />

port-catheter system (PCS: PORT-A-CATH® and Covance patented port)<br />

implantation and dosing for up to 90 days. In case <strong>of</strong> multiple 24 hour daily infusions<br />

the maximum volume was 40 ml/kg, for once weekly infusions 60 ml/kg/24<br />

h. <strong>The</strong> PCS was implanted with the catheter tip being inserted in the Vena cava<br />

caudalis. Dosing (CADD-Micro® or Pegasus® Vario pump) commenced following<br />

an adsorption test, jacket training, pump precision test and pre-study diagnostics.<br />

Haematology screening just prior to the start <strong>of</strong> dosing (following the PCS implantation<br />

plus a 2 week recovery period) confirmed the absence <strong>of</strong> haematological<br />

changes. A 10 IU/mL Heparin lock and a once weekly system flush ensured the<br />

free-flow <strong>of</strong> the PCS (dead space <strong>of</strong> 0.7 mL). Early problems such as (a) extraction<br />

<strong>of</strong> the catheter out <strong>of</strong> the vein, (b) port area necrosis and (c) needle loss, were overcome<br />

by (a) specialized training <strong>of</strong> animal handling, (b) better close body fixation<br />

<strong>of</strong> jacket and (c) advanced taping <strong>of</strong> the needle. No adverse clinical signs or body<br />

weight loss was noted. Microscopic findings post chronic catheterization were focally<br />

confirmed and included: perivascular haemorrhage, acute-chronic<br />

vasculitis/perivasculitis, hypertrophy/hyperplasia <strong>of</strong> the intima, perivascular edema,<br />

thrombi and organized thrombi at the injection site (tip <strong>of</strong> catheter). <strong>The</strong> same<br />

findings plus granulomatous inflammation (histiocytes and foreign body giant cells<br />

around suture material) occurred at the entrance <strong>of</strong> catheter into the vein. In summary,<br />

the presented work showed the long term feasibility <strong>of</strong> the implanted PCS<br />

system and the cumulative experience increases the likelihood <strong>of</strong> a successful infusion<br />

study in these primate species.<br />

1567 ENVIRONMENTAL PREDICTORS OF U.S. COUNTY<br />

MORTALITY PATTERNS ON A NATIONAL BASIS.<br />

M. P. Chan 1 , R. S. Weinhold 2 , R. Thomas 3 , J. M. Gohlke 4 and C. J. Portier 5 .<br />

1 NTP/NIEHS, Research Triangle Park, NC, 2 Independent Researcher & Journalist,<br />

Colorado City, Co., 3 School <strong>of</strong> Public Health, University <strong>of</strong> California, Berkeley, CA,<br />

4 School <strong>of</strong> Public Health, University <strong>of</strong> Alabama at Birmingham, Birmingham, AL<br />

and 5 NCEH & ATSDR, CDC, Atlanta, GA.<br />

A growing body <strong>of</strong> evidence has found that mortality rates are positively correlated<br />

with social inequalities, air pollution, elevated ambient temperature, age, availability<br />

<strong>of</strong> medical care and other factors. This study develops a model that uses indicators<br />

for multiple factors to predict the mortality rates for selected diseases and life<br />

expectancy by county across the United States (US). <strong>The</strong> model is then applied to<br />

predict changes in mortality caused by changing environmental factors. A total <strong>of</strong><br />

3,110 counties in the US, excluding Alaska and Hawaii were studied. A subset <strong>of</strong><br />

519 counties from the 3,110 counties was chosen by using systematic random sampling<br />

and these samples were used to validate the model. Step-wise and linear regression<br />

analyses were used to estimate the linkage between environmental pollutants,<br />

socio-economic factors, risk factors, social capital, weather, crime, social and<br />

other factors to explain variations in county-specific mortality rates for cardiovascular<br />

diseases, cancers, chronic obstructive pulmonary disease, all causes combined<br />

and lifespan across five population density groups. Generally the estimated models<br />

fit adequately for all mortality outcomes for all population density groups. <strong>The</strong><br />

model also adequately predicted risks for the 519 validation counties. Predictions <strong>of</strong><br />

changing mortality with changing environmental pollutant factors are used to illustrate<br />

the predictive value <strong>of</strong> the model. This study confirms the complex inter-relationships<br />

<strong>of</strong> multiple factors that influence mortality and lifespan, and suggests the

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

Saved successfully!

Ooh no, something went wrong!