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H F Stack

Publications and source records attributed to H F Stack.

36 records · Page 2Linked to original sources

Characteristics of the U.S. EPA's Office of Pesticide Programs' toxicity information databases.

The United States Environmental Protection Agency's Office of Pesticide Programs (OPP) requires that data from toxicity testing be submitted to the OPP to support the registration of pesticide chemicals. Once the toxicity data are submitted, they are entered into various toxicity databases. The studies are listed in an archival database to catalog and allow retrieval of the study for review. Reviews of toxicity studies are then placed into a separate database that can be retrieved to support a regulatory position. Toxicity information for health effects other than cancer and gene mutations from chronic exposure is reviewed through a reference dose (RfD) approach, and these decisions and supporting data are entered into an RfD database. Carcinogenicity data are reviewed by a peer review process, and these decisions are entered into a newly developed database to show the regulatory decision with supporting data. The mutagenicity data are reviewed and acceptable data are entered into the Genetic Activity Profile system to catalog and display the submitted information. These databases contain the information used for hazard evaluations as part of the OPP review of pesticide chemicals.

Animals↗

Genetic activity profiles in the testing and evaluation of chemical mixtures.

Some knowledge of the potential genetic activity of a complex environmental mixture may be gained from an assessment of the genetic activity of its component chemicals. The expanded Genetic Activity Profile (GAP) data base provides a computer-generated graphic representation of genetic bioassay data as a function of dose of the substance tested. In addition, the Atmospheric Chemical Compound (ACC) data-base contains information on chemical structures, properties, detection methods, and sources of chemicals found in ambient air. Using the combined data bases, the quantity of an individual chemical present within a mixture or fraction of a mixture may be related to the quantity (lowest effective dose, LED) of the chemical, by itself, required to demonstrate a positive response in one or more genetic bioassays.

Animals↗

Antimutagenicity profiles for some model compounds.

The concept of activity profile listings and plots, already applied successfully to the display of mutagenicity data, has been modified for application to antimutagenicity data. The activity profiles are bar graphs that have been organized in two general ways: for antimutagens that have been tested in combination with a given mutagen and for mutagens that have been tested in combination with a given antimutagen. Doses from both the mutagen and the antimutagen are displayed and plotted together with results on enhancement or inhibition of mutagenic activity. The short-term tests that have been used extensively to identify mutagens and potential carcinogens are increasingly being used to identify antimutagens and potential anticarcinogens. Three model mutagens, N-methyl-N'-nitro-N-nitrosoguanidine, aflatoxin B1 and benzo[a]pyrene, and 4 model antimutagens, butylated hydroxyanisole, butylated hydroxytoluene, glutathione and disulfiram, were selected from the data surveyed in the published literature. It is not clear at the present time whether the inhibition of carcinogen-induced mutation is a good indicator of anticarcinogenic properties, and further research is needed. Nevertheless, the activity profiles are useful for the assessment of the available antimutagenesis data by providing rapid visualization of considerable dose information and experimental results.

Biotransformation↗

Genetic activity profiles--application in assessing potential carcinogenicity of complex environmental mixtures.

Some knowledge of the potential genetic activity of a complex environmental mixture may be gained from an assessment of the genetic activity of its component chemicals. The expanded genetic activity profile (GAP) data-base provides a computer-generated graphic representation of genetic bioassay data as a function of dose of the substance tested. In addition, the atmospheric chemical compound (ACC) data-base contains information on chemical structures, properties, detection methods and sources of chemicals found in ambient air. Using the combined data-bases, information on the quantity of an individual chemical present within a mixture or fraction of a mixture may be related to the quantity (lowest effective dose; LED) of the chemical required to demonstrate a positive response in one or more genetic bioassays. Alternatively, quantitative information on the carcinogenic potency of each individual compound (TD50 value) may be related to the quantity present in the mixture or mixture fraction and used to calculate the percent human exposure dose/rodent potency dose (HERP) for the chemical. Using an additivity assumption, a conservative estimate of potential carcinogenic hazard for the mixture may be calculated based on the HERP indices for its chemical components. This conceptual approach is limited by the relatively small number of chemicals identified in complex mixtures for which genetic toxicology and animal cancer data exist.

Animals↗

Evaluation of the genetic activity profiles of 65 pesticides.

We have previously reported the qualitative results of a major study on 65 pesticides (Waters et al., 1982). Dose information from this investigation (either lowest effective or highest ineffective dose tested) has now been incorporated into a computerized data management system. This report focuses on the qualitative profiles of genetic activity produced by these pesticides and our efforts to classify them according to their genotoxic effects and chemical structures. Three main categories may be distinguished based on the qualitative results: Category 1 pesticides were active in most of the in vitro and in vivo assays employed. These 9 compounds include the structurally similar organophosphate insecticides, acephate, demeton, monocrotophos and trichlorfon; the phthalimide fungicide analogues, captan and folpet; and the thiocarbamate herbicide analogues, diallate, sulfallate and triallate. The 26 Category 2 compounds demonstrated fewer positive results and may be subdivided into two parts, one of which contains 12 halogenated aromatic or heterocyclic ring compounds, including the phenoxy herbicides, 2,4-D, 2,4-DB and 2,4,5-T. The remaining part of Category 2 (14 compounds) consists of structurally similar organophosphate insecticides, azinphos-methyl, crotoxyphos, disulfoton, methyl parathion; three similar ethylenebisdithiocarbamate fungicides, maneb, mancozeb, and zineb; three similar pyrethroid insecticides, allethrin, chrysanthemic acid, and ethyl chrysanthemate; and four structurally diverse compounds, cacodylic acid, dinoseb, sec.-butylamine and benomyl. The third category of 30 pesticides gave negative results in all tests and represents structurally diverse compounds. Using the computerized profile matching methodology, from 2080 possible pairwise chemical combinations of the 65 pesticides, 20 statistically significant pairs were selected, 6 groups of pesticides were identified which were substantially similar to groups of pesticides we had formed previously (Waters et al., 1982) based on genetic activity and chemical structure. The matches showed excellent qualitative and, in most cases, excellent quantitative agreement. Hence it appears that specific patterns of test results present in the genetic activity profiles are related directly to chemical structure. Conversely, the data suggests that certain groups of compounds may be recognized by a well defined series of concordant tests results. As additional data is added, comparison of test results for new chemicals with existing data for known genotoxicants should aid in the evaluation of potential genetic health hazards.

Animals↗

Using the desk top computer in cellular toxicity and mutagenesis.

A series of programs applicable to in vitro test symptoms in environmental toxicology are described for the Tektronix 4050 series graphic system computer. The file structure, experimental design and identification, the program library, data entry program, and programs to compile data from separate experiments are presented. Experimental design information and test data are stored on magnetic tape. The programs are designed to compute cell number and viability, adenosine triphosphate level, and protein and DNA synthetic activity from raw data obtained from cellular toxicity experiments; and cloning efficiency, mutation yield, mutation frequency, and other parameters for mutagenicity. A set of subprograms can be used for statistical analysis of the data and for construction of frequency distributions. The applicability of the programs is illustrated by data obtained from exposure of Chinese hamster ovary cells to cadmium chloride or N-methyl-N'-nitro-N-nitroso-guanidine.

Animals↗

Cellular toxicity in Chinese hamster ovary cell cultures. II. A statistical appraisal of sensitivity with the rabbit alveolar macrophage, Syrian hamster embryo, BALB 3T3 mouse, and human neonatal fibroblast cell systems.

Chinese hamster ovary, rabbit alveolar macrophage, Syrian hamster embryo, BALB 3T3 mouse, and human neonatal fibroblast cells were employed in a statistical evaluation of the relative sensitivity of the cells to toxic substances. The cells were exposed to 1,2,4-trichlorobenzene, 2,4-dimethylphenol, Aroclor 1248, cadmium chloride, lead sulfate, nickel nitrate, lead oxide-coated fly ash, and a fine particulate from coal combustion. A filter-disk technique was used to measure the inhibition of protein and DNA synthesis. A quantitative ranking of cell-system sensitivity was determined from comparisons of statistically significant differences (P less than or equal to 0.01) in protein and DNA synthesis expressed as a percentage of control. An overall ranking of sensitivity showed that rabbit alveolar macrophages, Syrian hamster embryo cells, and Chinese hamster ovary cells were more sensitive than another of the five cell systems in 75, 68, and 62% of the experiments, respectively. The corresponding values for BALB 3T3 mouse and human neonatal fibroblast cells were 38 and 28%, respectively, under our experimental conditions. Detailed data on the control cell cultures are also presented.

Animals↗

An analysis of the spectra of genetic activity produced by known or suspected human carcinogens.

For 24 agents classified by the International Agency for Research on Cancer as known or suspected human carcinogens, we previously catalogued the qualitative genetic bioassay data available in the literature. In the present analysis, dose information, where available, was added to this data base: either the lowest effective dose (LED) or the highest ineffective dose (HID) was recorded for each agent and bioassay system. Bioassay systems were organized according to classes of genetic activity and subdivided by the phylogenetic level of the test organism. For each compound, the quantitative results in the test systems were represented by computer-generated bar graphs ('genetic activity spectra'). The x-axis unit values corresponded to the 100 different test systems, and the y-axis values were the logarithmically transformed LED or HID values. Statistical methods and pattern-recognition techniques were used to evaluate the genetic activity spectra. Spectra were compared among agents grouped according to target-organ specificity. In addition, the spectra of all possible pairs of compounds were compared to identify compounds displaying qualitatively or quantitatively similar genetic activity. Chemically similar compounds frequently produced similar spectra of genetic activity, and it was possible to identify the most appropriate test systems for some classes of compounds. As the data base for human carcinogens is enlarged, analysis of genetic activity spectra may contribute to our understanding of the structure-activity relationships and mechanisms of action of these agents.

Animals↗

Genetic activity profiles and pattern recognition in test battery selection.

Computer-generated genetic activity profiles and pairwise matching procedures may aid in the selection of the most appropriate short-term bioassays to be used in test batteries for the evaluation of the genotoxicity of a given chemical or group of chemicals. Selection of test batteries would be based on a quantitative comparative assessment of the past performance of similar tests applied to other chemicals of the same structural group. The information potentially available for test-battery selection through the use of this pattern-recognition technique is considerably greater than the qualitative results obtained from individual short-term tests. Application of the method should further our understanding of the relationships between chemical properties and genotoxic responses obtained in short-term bioassays and also may contribute to our knowledge of the mechanisms of complex processes such as carcinogenesis. This approach to battery selection should be augmented by careful consideration of established principles of genetic toxicity testing; that is, a chemical should be evaluated in a battery of tests representing the full range of relevant genetic endpoints.

Animals↗

Use of computerized data listings and activity profiles of genetic and related effects in the review of 195 compounds.

Computer-generated listings of data from short-term tests for genetic and related effects (activity profile listings) were prepared for 195 compounds that included for each compound, the test system (identified by a three-letter code word), qualitative results and the lowest effective dose (LED) or highest ineffective dose (HID) tested. A corresponding bar or line graph (activity profile) was also generated, in which test systems are displayed along the x-axis and the LED or HID values along the y-axis. The listings were reviewed and the data summarized by an IARC Working Group. The methodology used to generate these listings and plots is described, and results are given for one compound, benzene. The entire data base contains approximately 7000 entries from 4000 references.

Animals↗