The Toxicologist - Society of Toxicology
The Toxicologist - Society of Toxicology
The Toxicologist - Society of Toxicology
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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