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1.
Basic Clin Pharmacol Toxicol ; 123 Suppl 5: 20-28, 2018 Sep.
Article in English | MEDLINE | ID: mdl-29316278

ABSTRACT

The Organisation for Economic Co-operation and Development (OECD) works with member countries and other stakeholders to improve and harmonize chemical assessment methods. In 2012, the OECD Adverse Outcome Pathways (AOPs) Development Programme started. The Programme has published six AOPs thus far and more than 60 AOPs are under various stages of development under the Programme. This article reviews recent OECD activities on the use of AOPs in developing Integrated Approaches to Testing and Assessments (IATAs). The guidance document for the use of AOPs in developing IATA, published in 2016, provides a framework for developing and using IATA and describes how IATA can be based on an AOP. The guidance document on the reporting of defined approaches to be used within IATA, also published in 2016, provides a set of principles for reporting defined approaches to testing and assessment to facilitate their evaluation. In the guidance documents, the AOP concept plays an important role for building IATA approaches in a science-based and transparent way. In 2015, the IATA Case Studies Project was launched to increase experience with the use of IATA and novel hazard methodologies by developing case studies, which constitute examples of predictions that are fit-for-regulatory use. This activity highlights the importance of international collaboration for harmonizing and improving chemical safety assessment methods.


Subject(s)
Adverse Outcome Pathways , Drug-Related Side Effects and Adverse Reactions/prevention & control , International Cooperation , Organisation for Economic Co-Operation and Development/organization & administration , Guidelines as Topic , Humans , Organisation for Economic Co-Operation and Development/standards
2.
Altern Lab Anim ; 44(5): 417-429, 2016 Oct.
Article in English | MEDLINE | ID: mdl-27805824

ABSTRACT

The Adverse Outcome Pathway (AOP) concept is expected to guide risk assessors in their work to use all existing information on the effects of chemicals on humans and wildlife, and to target the generation of additional information to the regulatory objective. AOPs will therefore be used in the Organisation for Economic Co-operation and Development (OECD) chemical safety programme, as underlying scientific rationales for the development of alternative methods for hazard assessment, such as read-across, in vitro test methods or the development of integrated testing strategies that have the potential to replace animal tests. As a proof-of-concept, the OECD has developed an AOP for skin sensitisation, and as a follow-up has: a) implemented the AOP into the OECD QSAR Toolbox, so that information related to the Key Events (KEs) in the AOP can be used to group chemicals that are expected to act by the same mechanism and hence have the same skin sensitisation potential; b) developed alternative test methods for the KEs, so that ultimately chemicals can be tested for skin sensitisation without the use of animal tests. The development of integrated testing strategies based on the AOP is ongoing. Building on this proof-of-concept, the OECD has launched an AOP development programme with a first batch of AOPs published in 2016. A number of IT tools, which together form an AOP Knowledge Base, are at various stages of development, and support the construction of AOPs and their use in the development of integrated approaches for testing and assessment. Following the publication of the first batch of AOPs, OECD member countries will decide on priorities for their use in supporting the development of tools for regulatory use.


Subject(s)
Adverse Drug Reaction Reporting Systems/organization & administration , Decision Making , Hazardous Substances/adverse effects , Adverse Drug Reaction Reporting Systems/standards , Animals , Drug-Related Side Effects and Adverse Reactions , Environmental Pollutants , Humans
4.
Regul Toxicol Pharmacol ; 70(3): 711-9, 2014 Dec.
Article in English | MEDLINE | ID: mdl-25444998

ABSTRACT

We propose a category approach to assessing the testicular toxicity of chemicals with a similar structure to ethylene glycol methyl ether (EGME). Based on toxicity information for EGME and related chemicals and accompanied by adverse outcome pathway information on the testicular toxicity of EGME, this category was defined as chemicals that are metabolized to methoxy- or ethoxyacetic acid, a substance responsible for testicular toxicity. A Japanese chemical inventory was screened using the Hazard Evaluation Support System, which we have developed to support a category approach for predicting the repeated-dose toxicity of chemical substances. Quantitative metabolic information on the related chemicals was then considered, and seventeen chemicals were finally obtained from the inventory as a shortlist for the category. Available data in the literature shows that chemicals for which information is available on the metabolic formation of EGME, ethylene glycol ethyl ether, methoxy- or ethoxyacetic acid do in fact possess testicular toxicity, suggesting that testicular toxicity is a concern, due to metabolic activation, for the remaining chemicals. Our results clearly demonstrate practical utility of AOP-based category approach for predicting repeated-dose toxicity of chemicals.


Subject(s)
Ethylene Glycols/toxicity , Testis/drug effects , Acetates/metabolism , Animals , Databases, Factual , Ethylene Glycols/pharmacokinetics , Male , Mice , Rats , Risk Assessment/methods
5.
J Toxicol Sci ; 38(2): 291-9, 2013.
Article in English | MEDLINE | ID: mdl-23535408

ABSTRACT

Hypothyroidism induced by xenobiotic treatment was analyzed for possible underlying mechanism(s) on the basis of different responses of the thyroid gland and the liver, using a newly-created database of repeated-dose toxicity of 500 chemicals. Two mechanisms are proposed: direct inhibition of thyroid hormone biosynthesis in the thyroid gland, and stimulated degradation of thyroid hormone by induction of hepatic drug-metabolizing enzymes. In the database there were 10 chemicals inducing hypertrophy/hyperplasia of follicular cells in the thyroid gland and having data on thyroid glands. On the basis of the chemical structure and information available in the literature, we judged three chemicals to be typical thioamide derivatives that act directly on the thyroid gland, and the others as non-thioamide derivatives that were unlikely to have any direct action on the thyroid gland. All these chemicals were classified into two groups using the ratios of relative weight increase rate of thyroid gland versus that of the liver. These values were at least 1.7, but 3.2 or more in the most of the cases for thioamide derivatives, and 1.2 or less for non-thioamide derivatives. This background analysis suggests the feasibility of parameter-supported speculation on the possible underlying mechanism when new repeated-dose toxicity data on hypothyroidism becomes available.


Subject(s)
Hypothyroidism/chemically induced , Thioamides/toxicity , Animals , Dose-Response Relationship, Drug , Humans , Hyperplasia , Liver/drug effects , Liver/pathology , Organ Size/drug effects , Thioamides/administration & dosage , Thyroid Gland/drug effects , Thyroid Gland/pathology
6.
Regul Toxicol Pharmacol ; 65(2): 189-95, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23246603

ABSTRACT

We tested a category approach to predict the hepatotoxic effects of repeated doses of allyl esters using a new database for repeated-dose toxicity. Based on information on hepatotoxic mechanism of allyl acetate, the category was defined as allyl esters that are hydrolyzed to allyl alcohol. Allyl alcohol is readily oxidized to acrolein in the liver, causing hepatotoxicity. Seventeen marketed allyl esters were obtained and grouped into category by identifying or predicting allyl alcohol formation. Allyl esters with a saturated straight alkyl carboxylic acid moiety (allyl acetate, hexanoate and heptanoate as tested species, and allyl butyrate, pentanoate, octanoate, nonanoate and decanoate as untested species) are likely similar in rate of ester hydrolysis, thereby defining subcategory 1. NOAEL and LOAEL for the hepatotoxic effects were estimated at 0.12 and 0.25 mmol/kg/d for the untested species, based on those of allyl acetate. The remaining nine allyl esters with other alkyl or aromatic carboxylic acid moieties were placed in subcategory 2: their hepatotoxicity levels were not predictable due to an unclear match between their degree of structural complexity and rate of hydrolysis. Our results demonstrate the usefulness of the category approach for predicting the hepatotoxicity of untested allyl esters with saturated straight alkyl chains.


Subject(s)
Allyl Compounds/toxicity , Chemical and Drug Induced Liver Injury/etiology , Databases, Factual , Liver/drug effects , Allyl Compounds/chemistry , Animals , Chemical and Drug Induced Liver Injury/pathology , Dose-Response Relationship, Drug , Esters , Forecasting , Hepatocytes/drug effects , Hepatocytes/pathology , Humans , Liver/pathology , No-Observed-Adverse-Effect Level , Structure-Activity Relationship
7.
J Toxicol Sci ; 37(3): 503-15, 2012.
Article in English | MEDLINE | ID: mdl-22687990

ABSTRACT

Categorizing chemicals is an approach with the potential to reduce animal testing for hazard assessment of chemicals. In this study we investigated the category approach for testing the hemolytic effects of ethylene glycol alkyl ethers (EGAEs) for repeated-dose toxicity (RDT). Using mechanistic information on the hemolytic effects of ethylene glycol butyl ether, a toxicologically meaningful category was built on the basis of similarity of metabolism, mode of action and the hemolytic effects of several EGAEs and related chemicals. The developed category was then evaluated for analogs from a different data source. Given all structural information on category chemicals, the category can be finally defined as EGAEs (alkyl chain carbon number: 1-4) and their acetates. Current RDT test data suggest that EGAEs with 3 and 4 alkyl carbons primarily cause hemolytic effects, while EGAEs with 1 and 2 alkyl carbon(s) show toxicity to the testis before demonstrating any hemolytic effects. Hence, the category approach appears to be applicable to hemolytic effects of EGAEs with 3 and 4 alkyl carbons and their acetates to estimate the no observable adverse effect level (NOAEL) for RDT. It consists of three steps: structure-based primary screening of untested chemicals, categorization of compounds that form hemolytic alkoxyacetic acids by predicting how they are metabolized, and finally estimation of hemolytic levels by employing read-across. Our results clearly demonstrate the usefulness of the category approach for predicting the hemolytic effects of untested EGAEs and their acetates in RDT.


Subject(s)
Anemia, Hemolytic/pathology , Ethers/toxicity , Ethylene Glycol/toxicity , Anemia, Hemolytic/chemically induced , Animals , Dose-Response Relationship, Drug , Female , Male , No-Observed-Adverse-Effect Level , Rats , Testis/drug effects , Toxicity Tests
8.
J Toxicol Sci ; 36(1): 63-71, 2011 Jan.
Article in English | MEDLINE | ID: mdl-21297342

ABSTRACT

In order to understand the influence of coefficient of variation (CV) in determining significant difference of quantitative values of 28-day repeated-dose toxicity studies, we examined 59 parameters of 153 studies conducted in accordance with Chemical Substance Control Law in 12 test facilities. Sex difference was observed in 12 parameters and 10 parameters showed large CV in females. The minimum CV was 0.74% for sodium. CV of electrolytes was comparatively small, whereas enzymes had large CV. Large differences in CV were observed for major parameters among 7-8 test facilities. The changes in CV were grossly classified into 11. Our study revealed that a statistical significant difference is usually detected if there is a difference of 7% in mean values between the groups and the groups have a CV of about 7%. A parameter with a CV as high as 30% may be significantly different, if the difference of the mean between the groups is 30%. It would be ideal to use median value to assess the treatment-related effect, rather than mean, when the CV is very high. We recommend using CV of the body weight as a standard to judge the adverse effect level.


Subject(s)
Toxicity Tests/methods , Animals , Blood Chemical Analysis , Body Weight , Cluster Analysis , Female , Male , Organ Size , Rats , Rats, Sprague-Dawley , Sex Characteristics , Time Factors , Urinalysis
9.
J Toxicol Sci ; 35(3): 295-8, 2010 Jun.
Article in English | MEDLINE | ID: mdl-20519837

ABSTRACT

Because histopathological findings are often conclusive indicators of the toxicities of chemicals, standardization of nomenclature and construction of a thesaurus for histopathological findings are important for the comparative evaluation of histopathological data from repeated-dose toxicity studies (RTS). However, terms for histopathological findings have not been standardized and different technical terms are used to indicate almost the same thing in RTS. The present study was conducted to construct an easy-to-use thesaurus for histopathological findings in order to facilitate hazard assessments of untested chemicals by the category approach using knowledge of the toxicity of analogue chemicals. We used reports of 28-day RTS, conducted on rats by gavage, which were posted on the websites of the National Institute of Health Sciences (NIHS) and the National Institute of Technology and Evaluation (NITE). The histopathological data were from 156 reports on RTS conducted by 13 institutions in Japan. As a result of this study, major parts of the thesaurus were devoted to the findings in the liver, kidney, stomach, adrenal, thyroid and testis; the first three organs are known to be the main targets of chemicals. We also decided that findings such as swelling and enlargement of hepatocytes should be categorized as synonyms for terms meaning hypertrophy. Our thesaurus will be helpful in assessing or screening new untested chemicals by the category approach using knowledge of the toxicities of analogues of the new chemical. The RTS database with this thesaurus will be made publically available in 2012.


Subject(s)
Toxicity Tests/methods , Vocabulary, Controlled , Administration, Oral , Animals , Dose-Response Relationship, Drug , Drug-Related Side Effects and Adverse Reactions , Endocrine System/drug effects , Endocrine System/pathology , Kidney/drug effects , Kidney/pathology , Liver/drug effects , Liver/pathology , Rats , Stomach/drug effects , Stomach/pathology , Time Factors
10.
J Toxicol Sci ; 35(4): E1-8, 2010 Aug.
Article in English | MEDLINE | ID: mdl-20571254

ABSTRACT

Because histopathological findings are often conclusive indicators of the toxicities of chemicals, standardization of nomenclature and construction of a thesaurus for histopathological findings are important for the comparative evaluation of histopathological data from repeated-dose toxicity studies (RTS). however, terms for histopathological findings have not been standardized and different technical terms are used to indicate almost the same things in RTS. The present study was conducted to construct and easy-to-use thesaurus for histopathological findings in order to facilitate hazard assessments of untested chemicals by the category approach using knowledge of the toxicity of analogue chemicals. We used reports of 28-day RTS, conducted on rats by gavage, which were posted on the websites of the National Institute of health Sciences (NIHS) and the National Institute of Technology and Evaluation (NITE). The histopathological data were from 156 reports on RTS conducted by 13 institutions in Japan. As a result of this study, major parts of the thesaurus were devoted to the findings in the liver, kidney, stomach, adrenal, thyroid and testis; the first three organs are known to be the main targets of chemicals. We also decided that findings such as swelling and enlargement of hepatocytes should be categorized as synonyms for terms meaning hypertrophy. Our thesaurus will be helpful in assessing or screening new untested chemical by the category approach using knowledge of the toxicities of analogues of the new chemical. The RTS database with this thesaurus will be made publically available in 2010.


Subject(s)
Toxicity Tests/methods , Vocabulary, Controlled , Administration, Oral , Animals , Dose-Response Relationship, Drug , Drug-Related Side Effects and Adverse Reactions , Endocrine System/drug effects , Endocrine System/pathology , Kidney/drug effects , Kidney/pathology , Liver/drug effects , Liver/pathology , Rats , Stomach/drug effects , Stomach/pathology , Time Factors
11.
J Toxicol Sci ; 35(1): 79-85, 2010 Feb.
Article in English | MEDLINE | ID: mdl-20118627

ABSTRACT

The purpose of a toxicity test is to determine the no-observed-effect level (NOEL) of test substance through biological and pharmacological techniques. If the low dose not does show statistically significant and biologically relevant changes in the data evaluated in a study, the usual practice is to consider this dose as the NOEL. To overcome this, 6 types of techniques that seemed to be appropriate are presented in this paper by investigating the results of several domestic and foreign theses on toxicology. The most appropriate techniques appear to be the trend test, comparison between treatment group and historical control by t-test, and confirmation that all individual values lie within the 95% confidence interval (2 SD) of the historical control value, if a significant difference is admitted in the low dose.


Subject(s)
Carcinogenicity Tests/statistics & numerical data , Data Interpretation, Statistical , Animals , Carcinogenicity Tests/methods , Dose-Response Relationship, Drug , No-Observed-Adverse-Effect Level , Rats
12.
J Environ Biol ; 29(1): 47-52, 2008 Jan.
Article in English | MEDLINE | ID: mdl-18831330

ABSTRACT

Most of the statistical techniques used to evaluate the data obtained from toxicity studies are based on the assumption that the data show a normal distribution and homogeneity of variance. Literature review on toxicity studies on laboratory animals reveals that in most of the cases homogeneity of variance alone is examined for the data obtained from these studies. But the data that show homogeneity of variance need not always show a normal distribution. In fact, most of the data derived from toxicity studies, including hematological and biochemical parameters show a non-normal distribution. On examining normality of data obtained from various toxicity studies using different normality tests, we observed that Shapiro-Wilk test is more appropriate than Kolmogorov-Smimov test, Lilliefors test, the normal probability paper analysis and Chi square test. But there are situations, especially in the long-term toxicity studies, where normality is not shown by one or more than one of the dosage groups. In this situation, we propose that the data maybe analyzed using Dunnett multiple comparison test after excluding the data of the groups that do not show normality However, the biological relevance of the excluded data has to be carefully scrutinized. We also observed that the tendency of the data to show a normal distribution seems to be related to the age of the animals. Present paper describes various tests commonly used to test normality and their power, and also emphasizes the need of subjecting the data obtained from toxicity studies to both normality and homogeneity tests. A flow chart suggesting the statistical techniques that maybe used for both the types of data showing a normal or non-normal distribution is also proposed.


Subject(s)
Toxicity Tests/methods , Data Interpretation, Statistical , Multivariate Analysis , Normal Distribution , Risk Assessment , Sample Size
13.
J Environ Biol ; 29(1): 89-92, 2008 Jan.
Article in English | MEDLINE | ID: mdl-18831338

ABSTRACT

The relationships between the bioconcentration factor (BCF) of chemicals in fish and their size, as characterized by molecular weight (MW), effective cross sectional diameter (Deff), and maximum diameter (Dmax) have been investigated using an experimental data set of 737 new and 441 existing chemicals monitored by the Japanese Chemical Substances Control Law (CSCL). Substances with BCF > or = 5000 (very high bioconcentration potential) typically have MW < 550, Deff < 1.1 nm and Dmax < 2.0 nm, respectively and the substances with BCF > or = 1000 (high bioconcentration potential) have MW < 550, Deff < 1.4 nm and Dmax < 2.9 nm, respectively Therefore, the previously suggested threshold values for Deff (0.95 nm) and Dmax (1.5 nm) used for discriminating between bioconcentrative and non-bioconcentrative substances were found to be somewhat small. We found that many substances with BCF > or = 1000 and Dmax > or = 1.5 nm have Deff < 0.95 nm.


Subject(s)
Environmental Monitoring , Fishes/metabolism , Water Pollutants, Chemical/chemistry , Water Pollutants, Chemical/pharmacokinetics , Algorithms , Animals , Molecular Weight , Structure-Activity Relationship , Water Pollutants, Chemical/toxicity
14.
J Toxicol Sci ; 33(1): 97-104, 2008 Feb.
Article in English | MEDLINE | ID: mdl-18303188

ABSTRACT

In order to know the different statistical tools used to analyze the data obtained from twenty-eight-day repeated dose oral toxicity studies with rodents and the impact of these statistical tools on interpretation of data obtained from the studies, study reports of 122 numbers of twenty-eight-day repeated dose oral toxicity studies conducted in rats were examined. It was found that both complex and easy routes of decision trees were followed for the analysis of the quantitative data. These tools include Scheffe's test, non-parametric type Dunnett's and Scheffe's tests with very low power. Few studies used the non-parametric Dunnett type test and Mann-Whitney's U test. Though Chi-square and Fisher's tests are widely used for analysis of qualitative data, their sensitivity to detect a treatment-related effect is questionable. Mann-Whitney's U test has better sensitivity to analyze qualitative data than the chi-square and Fisher's tests. We propose Dunnett's test for analysis of quantitative data obtained from twenty-eight-day repeated dose oral toxicity tests and for qualitative data, Mann-Whitney's U test. For both tests, one-sided test with p=0.05 may be applied.


Subject(s)
Data Interpretation, Statistical , Toxicity Tests/statistics & numerical data , Administration, Oral , Analysis of Variance , Animals , Chi-Square Distribution , Rats , Statistics, Nonparametric
15.
Environ Health Perspect ; 115(2): 255-61, 2007 Feb.
Article in English | MEDLINE | ID: mdl-17384774

ABSTRACT

Chemical management programs strive to protect human health and the environment by accurately identifying persistent, bioaccumulative, toxic substances and restricting their use in commerce. The advance of these programs is challenged by the reality that few empirical data are available for the tens of thousands of commercial substances that require evaluation. Therefore, most preliminary assessments rely on model predictions and data extrapolation. In November 2005, a workshop was held for experts from governments, industry, and academia to examine the availability and quality of in vivo fish bioconcentration and bioaccumulation data, and to propose steps to improve its prediction. The workshop focused on fish data because regulatory assessments predominantly focus on the bioconcentration of substances from water into fish, as measured using in vivo tests or predicted using computer models. In this article we review of the quantity, features, and public availability of bioconcentration, bioaccumulation, and biota-sediment accumulation data. The workshop revealed that there is significant overlap in the data contained within the various fish bioaccumulation data sources reviewed, and further, that no database contained all of the available fish bioaccumulation data. We believe that a majority of the available bioaccumulation data have been used in the development and testing of quantitative structure-activity relationships and computer models currently in use. Workshop recommendations included the publication of guidance on bioconcentration study quality, the combination of data from various sources to permit better access for modelers and assessors, and the review of chemical domains of existing models to identify areas for expansion.


Subject(s)
Databases, Factual , Fishes/metabolism , Water Pollutants, Chemical/analysis , Animals , Environmental Monitoring , Models, Biological , Models, Chemical , Risk Assessment , Water Pollutants, Chemical/metabolism , Water Pollutants, Chemical/toxicity
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