1
|
Menssen M, Dammann M, Fneish F, Ellenberger D, Schaarschmidt F. Prediction Intervals for Overdispersed Poisson Data and Their Application in Medical and Pre-Clinical Quality Control. Pharm Stat 2025; 24:e2447. [PMID: 39475336 PMCID: PMC11889705 DOI: 10.1002/pst.2447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 07/26/2024] [Accepted: 10/10/2024] [Indexed: 03/09/2025]
Abstract
In pre-clinical and medical quality control, it is of interest to assess the stability of the process under monitoring or to validate a current observation using historical control data. Classically, this is done by the application of historical control limits (HCL) graphically displayed in control charts. In many applications, HCL are applied to count data, for example, the number of revertant colonies (Ames assay) or the number of relapses per multiple sclerosis patient. Count data may be overdispersed, can be heavily right-skewed and clusters may differ in cluster size or other baseline quantities (e.g., number of petri dishes per control group or different length of monitoring times per patient). Based on the quasi-Poisson assumption or the negative-binomial distribution, we propose prediction intervals for overdispersed count data to be used as HCL. Variable baseline quantities are accounted for by offsets. Furthermore, we provide a bootstrap calibration algorithm that accounts for the skewed distribution and achieves equal tail probabilities. Comprehensive Monte-Carlo simulations assessing the coverage probabilities of eight different methods for HCL calculation reveal, that the bootstrap calibrated prediction intervals control the type-1-error best. Heuristics traditionally used in control charts (e.g., the limits in Shewhart c- or u-charts or the mean ± 2 SD) fail to control a pre-specified coverage probability. The application of HCL is demonstrated based on data from the Ames assay and for numbers of relapses of multiple sclerosis patients. The proposed prediction intervals and the algorithm for bootstrap calibration are publicly available via the R package predint.
Collapse
Affiliation(s)
- Max Menssen
- Department of BiostatisticsLeibniz University HannoverHanoverGermany
| | - Martina Dammann
- Experimental Toxicology and EcologyBASF SELudwigshafenGermany
| | - Firas Fneish
- German MS‐Register, MS Forschungs‐ und Projektentwicklungs‐gGmbH [MSFP]HanoverGermany
| | - David Ellenberger
- German MS‐Register, MS Forschungs‐ und Projektentwicklungs‐gGmbH [MSFP]HanoverGermany
| | | |
Collapse
|
2
|
Zarn JA, König SLB, Shaw HV, Geiser HC. An analysis of the use of historical control data in the assessment of regulatory pesticide toxicity studies. Regul Toxicol Pharmacol 2024; 154:105724. [PMID: 39426613 DOI: 10.1016/j.yrtph.2024.105724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 10/13/2024] [Accepted: 10/16/2024] [Indexed: 10/21/2024]
Abstract
The concurrent control group is the most important reference for the interpretation of toxicity studies. However, pooled information on control animals from independent studies, i.e., historical control data (HCD), is also used for the interpretation of results. Currently, an overview on actual HCD use in regulatory toxicology is lacking. Therefore, we evaluated the HCD use of the Joint FAO/WHO Meeting on Pesticide Residues from 2004 to 2021 and compared it with recommendations in regulatory guidelines and in the literature. We found that HCD was used routinely and exclusively to avoid potential false positive decisions regarding the treatment-relatedness of effects, mostly using the HCD range, i.e., the most extreme values, as a benchmark. HCD were not used to avoid potential false negative decisions or for quality control of the index study. The central assumption of the HCD use, namely that the HCD and control group of the index study follow the same underlying distribution because they are samples of the same data generation process, was not investigated, although numerous factors potentially contribute to effect variation between the different control groups pooled in the HCD. We recommend that the existing guidelines be revised to improve the robustness and transparency of toxicological assessments.
Collapse
Affiliation(s)
- Jürg A Zarn
- Federal Food Safety and Veterinary Office (FSVO), Toxicology of Plant Protection Products Sector, Schwarzenburgstrasse 155, 3003, Bern, Switzerland.
| | - Sebastian L B König
- Federal Food Safety and Veterinary Office (FSVO), Toxicology of Plant Protection Products Sector, Schwarzenburgstrasse 155, 3003, Bern, Switzerland
| | - Holly V Shaw
- Federal Food Safety and Veterinary Office (FSVO), Toxicology of Plant Protection Products Sector, Schwarzenburgstrasse 155, 3003, Bern, Switzerland
| | - H Christoph Geiser
- Federal Food Safety and Veterinary Office (FSVO), Toxicology of Plant Protection Products Sector, Schwarzenburgstrasse 155, 3003, Bern, Switzerland
| |
Collapse
|
3
|
Menssen M. The calculation of historical control limits in toxicology: Do's, don'ts and open issues from a statistical perspective. MUTATION RESEARCH. GENETIC TOXICOLOGY AND ENVIRONMENTAL MUTAGENESIS 2023; 892:503695. [PMID: 37973293 DOI: 10.1016/j.mrgentox.2023.503695] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 09/14/2023] [Accepted: 09/16/2023] [Indexed: 11/19/2023]
Abstract
For reporting toxicology studies, the presentation of historical control data and the validation of the concurrent control group with respect to historical control limits have become requirements. However, many regulatory guidelines fail to define how such limits should be calculated and what kind of target value(s) they should cover. Hence, this manuscript is aimed to give a brief review on the methods for the calculation of historical control limits that are in use as well as on their theoretical background. Furthermore, this manuscript is aimed to identify open issues for the use of historical control limits that need to be discussed by the community. It seems that, even after 40 years of discussion, more issues remain open than solved, both, with regard to the available methodology as well as its implementation in user-friendly software. Since several of these topics equally apply to several research fields, this manuscript is addressed to all relevant stakeholders who deal with historical control data obtained from toxicological studies, regardless of their background or field of research.
Collapse
Affiliation(s)
- Max Menssen
- Leibniz University Hannover, Institute of Cell Biology and Biophysics, Department of Biostatistics, Herrenäuser Straße 2, 30419 Hannover, Germany.
| |
Collapse
|
4
|
Wright PSR, Smith GF, Briggs KA, Thomas R, Maglennon G, Mikulskis P, Chapman M, Greene N, Phillips BU, Bender A. Retrospective analysis of the potential use of virtual control groups in preclinical toxicity assessment using the eTOX database. Regul Toxicol Pharmacol 2023; 138:105309. [PMID: 36481280 DOI: 10.1016/j.yrtph.2022.105309] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/17/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022]
Abstract
Virtual Control Groups (VCGs) based on Historical Control Data (HCD) in preclinical toxicity testing have the potential to reduce animal usage. As a case study we retrospectively analyzed the impact of replacing Concurrent Control Groups (CCGs) with VCGs on the treatment-relatedness of 28 selected histopathological findings reported in either rat or dog in the eTOX database. We developed a novel methodology whereby statistical predictions of treatment-relatedness using either CCGs or VCGs of varying covariate similarity to CCGs were compared to designations from original toxicologist reports; and changes in agreement were used to quantify changes in study outcomes. Generally, the best agreement was achieved when CCGs were replaced with VCGs with the highest level of similarity; the same species, strain, sex, administration route, and vehicle. For example, balanced accuracies for rat findings were 0.704 (predictions based on CCGs) vs. 0.702 (predictions based on VCGs). Moreover, we identified covariates which resulted in poorer identification of treatment-relatedness. This was related to an increasing incidence rate divergence in HCD relative to CCGs. Future databases which collect data at the individual animal level including study details such as animal age and testing facility are required to build adequate VCGs to accurately identify treatment-related effects.
Collapse
Affiliation(s)
| | - Graham F Smith
- AstraZeneca, Data Science and AI, Clinical Pharmacology and Safety Sciences, R&D, Cambridge, United Kingdom
| | | | | | - Gareth Maglennon
- AstraZeneca, Oncology Pathology, Clinical Pharmacology and Safety Sciences, R&D, Melbourn, United Kingdom
| | - Paulius Mikulskis
- AstraZeneca, Imaging and Data Analytics, Clinical Pharmacology & Safety Sciences, R&D, Gothenburg, Sweden
| | - Melissa Chapman
- AstraZeneca, Toxicology, Clinical Pharmacology and Safety Sciences, R&D, Melbourn, United Kingdom
| | - Nigel Greene
- AstraZeneca, Imaging and Data Analytics, Clinical Pharmacology & Safety Sciences, R&D, Waltham, MA, USA
| | - Benjamin U Phillips
- AstraZeneca, Data Sciences and Quantitative Biology, Discovery Sciences, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Andreas Bender
- University of Cambridge, Chemistry, Cambridge, United Kingdom.
| |
Collapse
|
5
|
Wright PSR, Briggs KA, Thomas R, Smith GF, Maglennon G, Mikulskis P, Chapman M, Greene N, Phillips BU, Bender A. Statistical analysis of preclinical inter-species concordance of histopathological findings in the eTOX database. Regul Toxicol Pharmacol 2023; 138:105308. [PMID: 36481279 DOI: 10.1016/j.yrtph.2022.105308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 11/17/2022] [Accepted: 11/25/2022] [Indexed: 12/12/2022]
Abstract
Preclinical inter-species concordance can increase the predictivity of observations to the clinic, potentially reducing drug attrition caused by unforeseen adverse events. We quantified inter-species concordance of histopathological findings and target organ toxicities across four preclinical species in the eTOX database using likelihood ratios (LRs). This was done whilst only comparing findings between studies with similar compound exposure (Δ|Cmax| ≤ 1 log-unit), repeat-dosing duration, and animals of the same sex. We discovered 24 previously unreported significant inter-species associations between histopathological findings encoded by the HPATH ontology. More associations with strong positive concordance (33% LR+ > 10) relative to strong negative concordance (12.5% LR- < 0.1) were identified. Of the top 10 most positively concordant associations, 60% were computed between different histopathological findings indicating potential differences in inter-species pathogenesis. We also observed low inter-species target organ toxicity concordance. For example, liver toxicity concordance in short-term studies between female rats and dogs observed an average LR+ of 1.84, and an average LR- of 0.73. This was corroborated by similarly low concordance between rodents and non-rodents for 75 candidate drugs in AstraZeneca. This work provides new statistically significant associations between preclinical species, but finds that concordance is rare, particularly between the absence of findings.
Collapse
Affiliation(s)
- Peter S R Wright
- University of Cambridge, Centre for Molecular Science Informatics, Department of Chemistry, Cambridge, United Kingdom.
| | | | | | - Graham F Smith
- AstraZeneca, Data Science and AI, Clinical Pharmacology and Safety Sciences, R&D, Cambridge, United Kingdom
| | - Gareth Maglennon
- AstraZeneca, Oncology Pathology, Clinical Pharmacology and Safety Sciences, R&D, Melbourn, United Kingdom
| | - Paulius Mikulskis
- AstraZeneca, Imaging and Data Analytics, Clinical Pharmacology & Safety Sciences, R&D, Gothenburg, Sweden
| | - Melissa Chapman
- AstraZeneca, Toxicology, Clinical Pharmacology and Safety Sciences, R&D, Melbourn, United Kingdom
| | - Nigel Greene
- AstraZeneca, Data Science and Artificial Intelligence, Clinical Pharmacology and Safety Sciences, R&D, Boston, MA, USA
| | - Benjamin U Phillips
- AstraZeneca, Data Sciences and Quantitative Biology, Discovery Sciences, Cambridge Biomedical Campus, Cambridge, United Kingdom
| | - Andreas Bender
- University of Cambridge, Centre for Molecular Science Informatics, Department of Chemistry, Cambridge, United Kingdom.
| |
Collapse
|
6
|
Gurjanov A, Kreuchwig A, Steger-Hartmann T, Vaas LAI. Hurdles and signposts on the road to virtual control groups-A case study illustrating the influence of anesthesia protocols on electrolyte levels in rats. Front Pharmacol 2023; 14:1142534. [PMID: 37153793 PMCID: PMC10159271 DOI: 10.3389/fphar.2023.1142534] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 03/31/2023] [Indexed: 05/10/2023] Open
Abstract
Introduction: Virtual Control Groups (VCGs) represent the concept of using historical control data from legacy animal studies to replace concurrent control group (CCG) animals. Based on the data curation and sharing activities of the Innovative Medicine Initiatives project eTRANSAFE (enhancing TRANSlational SAFEty Assessment through Integrative Knowledge Management) the ViCoG working group was established with the objectives of i) collecting suitable historical control data sets from preclinical toxicity studies, ii) evaluating statistical methodologies for building adequate and regulatory acceptable VCGs from historical control data, and iii) sharing those control-group data across multiple pharmaceutical companies. During the qualification process of VCGs a particular focus was put on the identification of hidden confounders in the data sets, which might impair the adequate matching of VCGs with the CCG. Methods: During our analyses we identified such a hidden confounder, namely, the choice of the anesthetic procedure used in animal experiments before blood withdrawal. Anesthesia using CO2 may elevate the levels of some electrolytes such as calcium in blood, while the use of isoflurane is known to lower these values. Identification of such hidden confounders is particularly important if the underlying experimental information (e.g., on the anesthetic procedure) is not routinely recorded in the standard raw data files, such as SEND (Standard for Exchange of Non-clinical Data). We therefore analyzed how the replacement of CCGs with VCGs would affect the reproducibility of treatment-related findings regarding electrolyte values (potassium, calcium, sodium, and phosphate). The analyses were performed using a legacy rat systemic toxicity study consisting of a control and three treatment groups conducted according to pertinent OECD guidelines. In the report of this study treatment-related hypercalcemia was reported. The rats in this study were anesthetized with isoflurane. Results: Replacing the CCGs with VCGs derived from studies comprising both anesthetics resulted in a shift of control electrolyte parameters. Instead of the originally reported hypercalcemia the use of VCG led to fallacious conclusions of no observed effect or hypocalcemia. Discussion: Our study highlights the importance of a rigorous statistical analysis including the detection and elimination of hidden confounders prior to the implementation of the VCG concept.
Collapse
Affiliation(s)
- A. Gurjanov
- Bayer AG, Pharmaceuticals, Investigational Toxicology, Berlin, Germany
- *Correspondence: A. Gurjanov,
| | - A. Kreuchwig
- Bayer AG, Pharmaceuticals, Investigational Toxicology, Berlin, Germany
| | | | - L. A. I. Vaas
- Bayer AG, Pharmaceuticals, Research and Pre-Clinical Statistics Group, Berlin, Germany
| |
Collapse
|
7
|
Elmore SA, Rehg JE, Schoeb TR, Everitt JI, Bolon B. Pathologists' perspective on the study design, analysis, and interpretation of proliferative lesions in lifetime and prenatal rodent carcinogenicity bioassays of aspartame. Food Chem Toxicol 2022; 171:113504. [PMID: 36414169 DOI: 10.1016/j.fct.2022.113504] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/21/2022] [Accepted: 10/27/2022] [Indexed: 11/21/2022]
Abstract
Aspartame, an artificial sweetener commonly used as a sugar substitute, is currently authorized for use in more than 100 countries. Hundreds of studies, conducted in various countries dating back to the 1970s, have shown that aspartame is safe at real-world exposure levels. Furthermore, multiple human epidemiology studies have provided no indication that consumption of aspartame induces cancer. Given the continued controversy surrounding the Ramazzini Institute's (RI) studies suggesting that aspartame is a carcinogenic hazard in rodents and evaluation by the International Agency for Research on Cancer, this report aims to provide the perspective of experienced pathologists on publicly available pathology data regarding purported proliferative lesions in liver, lung, lymphoid organs, and mammary gland as well as their implications for human risk assessment as reported for three lifetime rodent carcinogenicity bioassays of aspartame conducted at the RI. In the authors' view, flaws in the design, methodology and reporting of the RI aspartame studies limit the utility of the data sets as evidence that this agent represents a carcinogenic hazard. Therefore, all three RI studies, and particularly the accuracy of their pathology diagnoses and interpretations, should be rigorously reviewed by qualified and experienced veterinary toxicologic pathologists in assessing aspartame's carcinogenic risk.
Collapse
Affiliation(s)
| | - Jerold E Rehg
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Trenton R Schoeb
- Department of Genetics and Animal Resources Program, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jeffrey I Everitt
- Department of Pathology, Duke University School of Medicine, Durham, NC, USA
| | | |
Collapse
|
8
|
Stoev SD. New Evidences about the Carcinogenic Effects of Ochratoxin A and Possible Prevention by Target Feed Additives. Toxins (Basel) 2022; 14:380. [PMID: 35737041 PMCID: PMC9230445 DOI: 10.3390/toxins14060380] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/16/2022] [Accepted: 05/26/2022] [Indexed: 11/17/2022] Open
Abstract
A review of the carcinogenic effects of ochratoxin A (OTA) on various tissues and internal organs in laboratory and farm animals is made. Suggestions are made regarding how to recognize and differentiate the common spontaneous neoplastic changes characteristic for advanced age and the characteristic neoplasia in different tissues and organs in laboratory animals/poultry exposed to OTA. The synergistic effects of OTA together with its natural combination of penicillic acid are also investigated regarding possible carcinogenic effects. The malignancy and the target location of OTA-induced neoplasia is studied. The sex-differences of such neoplasia are investigated in the available literature. The time of appearance of the first neoplasia is investigated in long-term carcinogenic studies with OTA-treated animals. The possibility of target feed additives or herbs to counteract the toxic and carcinogenic effects of OTA is studied in the available literature. Some effective manners of prophylaxis and/or prevention against OTA contamination of feedstuffs/foods or animal production are suggested. The suitability of various laboratory animals to serve as experimental model for humans with regard to OTA-induced tumorigenesis is investigated.
Collapse
Affiliation(s)
- Stoycho D Stoev
- Department of General and Clinical Pathology, Faculty of Veterinary Medicine, Trakia University, Students Campus, 6000 Stara Zagora, Bulgaria
| |
Collapse
|
9
|
Mevissen M, Ward JM, Kopp-Schneider A, McNamee JP, Wood AW, Rivero TM, Thayer K, Straif K. Effects of radiofrequency electromagnetic fields (RF EMF) on cancer in laboratory animal studies. ENVIRONMENT INTERNATIONAL 2022; 161:107106. [PMID: 35091376 DOI: 10.1016/j.envint.2022.107106] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 12/03/2021] [Accepted: 01/18/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND The carcinogenicity of radiofrequency electromagnetic fields (RF EMF) has been evaluated by the International Agency for Research on Cancer (IARC) in 2011. Based on limited evidence of carcinogenicity in humans and in animals, RF EMF were classified as possibly carcinogenic to humans (Group 2B). In 2018, based on a survey amongst RF experts, WHO prioritized six major topics of potential RF EMF related human health effects for systematic reviews. In the current manuscript, we present the protocol for the systematic review of experimental laboratory animal studies (cancer bioassays) on exposure to RF fields on the outcome of cancer in laboratory animals. OBJECTIVE In the framework of WHO's Radiation Program, the aim of this work is to systematically evaluate effects of RF EMF exposure on cancer in laboratory animals. STUDY ELIGIBILITY AND CRITERIA WHO's Handbook (2014) for guideline development will be followed with appropriate adaptation. The selection of eligible studies will be based on Population, Exposures, Comparators, and Outcomes (PECO) criteria. We will include peer-reviewed articles and publicly available reports from government agencies reporting original data about animal cancer bioassays on exposure to RF EMF. The studies are identified by searching the following databases: MEDLINE (PubMed), Science Citation Index Expanded and Emerging Sources Citation Indes (Web of Science), Scopus, and the EMF Portal. No language or year-of-publication restrictions are applied. The methods and results of eligible studies will be presented in accordance with the PRISMA 2020 guidelines. STUDY APPRAISAL METHOD Study evaluation of individual studies will be assessed using a risk of bias (RoB) tool developed by the Office of Health Assessment and Translation (OHAT) with appropriate considerations including sensitivity for evaluating RF EMF exposure in animal cancer bioassays. The final evaluation on the certainty of the evidence on a carcinogenic risk of RF EMF exposure in experimental animals will be performed using the OHAT Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach with appropriate considerations. The protocol has been registered in an open-source repository (PROSPERO). FUNDING The study is partly financially supported by the World Health Organization. No additional funding was provided outside author salaries through their places of employment.
Collapse
Affiliation(s)
- Meike Mevissen
- Veterinary Pharmacology & Toxicology, Department of Clinical Research and Veterinary Public Health (DCR-VPH), University of Bern, Bern, Switzerland.
| | | | | | - James P McNamee
- Non-Ionizing Radiation Health Sciences Division, Consumer and Clinical Radiation Protection Bureau, Health Canada, Ottawa, Canada
| | - Andrew W Wood
- Department of Health Sciences and Statistics, Swinburne University of Technology, Hawthorn, Australia
| | - Tania M Rivero
- Medical Library, University Library, University of Bern, Bern, Switzerland
| | - Kristina Thayer
- Center for Public Health and Environmental Assessment, Chemical & Pollutant Assessment Division, US EPA, NC, USA
| | - Kurt Straif
- ISGlobal, Barcelona, Spain; Boston College, MA, USA
| |
Collapse
|
10
|
Menssen M, Schaarschmidt F. Prediction intervals for all of M future observations based on linear random effects models. STAT NEERL 2022. [DOI: 10.1111/stan.12260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Max Menssen
- Department for Biostatistics Leibniz Universität Hannover Lower Saxony Germany
| | - Frank Schaarschmidt
- Department for Biostatistics Leibniz Universität Hannover Lower Saxony Germany
| |
Collapse
|
11
|
Follow up long term preliminary studies on carcinogenic and toxic effects of ochratoxin A in rats and the putative protection of phenylalanine. Toxicon 2020; 190:41-49. [PMID: 33316297 DOI: 10.1016/j.toxicon.2020.11.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Revised: 11/10/2020] [Accepted: 11/19/2020] [Indexed: 11/22/2022]
Abstract
Carcinogenic effects of ochratoxin A (OTA) on liver, kidneys, intestine, lung and eyes of Wistar rats exposed to 10 ppm or 5 ppm OTA in the diet and additionally supplemented or not with phenylalanine (PHE) were examined during 24-months experimental period. OTA was seen to provoke strong degenerative changes and slight pericapillary oedema in most internal organs, e.g. kidneys, liver, intestine, spleen and brain. Six of total nine neoplasms were identified as malignant and three as benign. Five of total six malignant neoplasms and two of total three benign neoplasms were seen in male rats. The pathological finding in rats after two weeks feeding with OTA-contaminated feed was dominated by degenerative changes in various internal organs, which were weaker in the group additionally supplemented with PHE. The protective effect of PHE was evident with respect to OTA-induced decrease of serum glucose and serum protein, but this protection was not singnificant with respect to serum enzymes activity. The number of neoplasms in PHE-supplemented group exposed to 10 ppm OTA was similar to that in the group exposed to twice lower feed levels of OTA alone, suggesting about a possible protective effect of PHE. The rats would not be able to serve as experimental model for humans with regard to OTA-induced tumorigenesis, because the target organ of OTA-toxicity in humans and pigs is mainly the kidney as opposed to the significant damages and carcinogenic effects seen in various organs in rats exposed to OTA.
Collapse
|
12
|
Mahmoodzadeh Hosseini H, Hamzeh Pour S, Amani J, Jabbarzadeh S, Hosseinabadi M, Mirhosseini SA. The effect of Propolis on inhibition of Aspergillus parasiticus growth, aflatoxin production and expression of aflatoxin biosynthesis pathway genes. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2020; 18:297-302. [PMID: 32399241 PMCID: PMC7203247 DOI: 10.1007/s40201-020-00467-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 03/04/2020] [Accepted: 03/11/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND AND PURPOSE Aflatoxins are one of the most important mycotoxins, which have been classified as Group I carcinogenic compounds by the International Agency for Research on Cancer. This investigation aimed to examine the effect of Propolis on inhibition of the Aspergillus parasiticus growth, aflatoxin production and expression of aflatoxin biosynthesis pathway genes. MATERIALS AND METHODS A standard strain of Aspergillus parasiticus (ATCC 15517) was used to perform antifungal susceptibility test, using a microdilution method in accordance with the CLSI M38-A2 guidelines. The aflatoxin concentrations in the control and treated media were determined by HPLC. Also, the quantitative changes in the level of nor-1, ver-1 and omtA genes expression in aflatoxin biosynthetic pathway were analyzed using Real-Time PCR method. RESULTS The results showed that the minimum inhibitory concentrations (MIC) of propolis was 100 µg/ml. The results showed that total levels of aflatoxin decreased from 386.1 ppm to 3.01 ppm at 50 µg/ml of propolis. In addition, quantitative real-time PCR analysis showed that the level of nor-1, ver-1 and omtA genes expression was significantly decreased after treatment with propolis extract. CONCLUSIONS The findings reveal that propolis extract, have a significant inhibitory effect on important genes for aflatoxin biosynthesis pathway in aflatoxin production.
Collapse
Affiliation(s)
- Hamideh Mahmoodzadeh Hosseini
- Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Siavash Hamzeh Pour
- Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Jafar Amani
- Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Sima Jabbarzadeh
- Department of plant biology, Higher Education Institute of Rabe-Rashid, Tabriz, Iran
| | - Mostafa Hosseinabadi
- Department of Food Science and Technology, Neyshabur Branch, Islamic Azad University, Neyshabur, Iran
| | - Seyed Ali Mirhosseini
- Applied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| |
Collapse
|
13
|
Menssen M, Schaarschmidt F. Prediction intervals for overdispersed binomial data with application to historical controls. Stat Med 2019; 38:2652-2663. [PMID: 30835886 DOI: 10.1002/sim.8124] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 01/24/2019] [Accepted: 01/25/2019] [Indexed: 11/05/2022]
Abstract
Bioassays are highly standardized trials for assessing the impact of a chemical compound on a model organism. In that context, it is standard to compare several treatment groups with an untreated control. If the same type of bioassay is carried out several times, the amount of information about the historical controls rises with every new study. This information can be applied to predict the outcome of one future control using a prediction interval. Since the observations are counts of success out of a given sample size, like mortality or histopathological findings, the data can be assumed to be binomial but may exhibit overdispersion caused by the variability between historical studies. We describe two approaches that account for overdispersion: asymptotic prediction intervals using the quasi-binomial assumption and prediction intervals based on the quantiles of the beta-binomial distribution. Both interval types were α-calibrated using bootstrap methods. For an assessment of the intervals coverage probabilities, a simulation study based on various numbers of historical studies and sample sizes as well as different binomial proportions and varying levels of overdispersion was run. It could be shown that α-calibration can improve the coverage probabilities of both interval types. The coverage probability of the calibrated intervals, calculated based on at least 10 historical studies, was satisfactory close to the nominal 95%. In a last step, the intervals were computed based on a real data set from the NTP homepage, using historical controls from bioassays with the mice strain B6C3F1.
Collapse
Affiliation(s)
- Max Menssen
- Abteilung Biostatistik, Institut für Zellbiologie und Biophysik, Leibniz Universität Hannover, Hannover, Germany
| | - Frank Schaarschmidt
- Abteilung Biostatistik, Institut für Zellbiologie und Biophysik, Leibniz Universität Hannover, Hannover, Germany
| |
Collapse
|
14
|
Portier CJ, Clausing P. Re: Tarazona et al. (2017): Glyphosate toxicity and carcinogenicity: a review of the scientific basis of the European Union assessment and its differences with IARC. doi: 10.1007/s00204-017-1962-5. Arch Toxicol 2017; 91:3195-3197. [PMID: 28620672 DOI: 10.1007/s00204-017-2009-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 06/01/2017] [Indexed: 11/24/2022]
|
15
|
Tarazona JV, Court-Marques D, Tiramani M, Reich H, Pfeil R, Istace F, Crivellente F. Glyphosate toxicity and carcinogenicity: a review of the scientific basis of the European Union assessment and its differences with IARC. Arch Toxicol 2017; 91:2723-2743. [PMID: 28374158 PMCID: PMC5515989 DOI: 10.1007/s00204-017-1962-5] [Citation(s) in RCA: 205] [Impact Index Per Article: 25.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2017] [Accepted: 03/21/2017] [Indexed: 11/29/2022]
Abstract
Glyphosate is the most widely used herbicide worldwide. It is a broad spectrum herbicide and its agricultural uses increased considerably after the development of glyphosate-resistant genetically modified (GM) varieties. Since glyphosate was introduced in 1974, all regulatory assessments have established that glyphosate has low hazard potential to mammals, however, the International Agency for Research on Cancer (IARC) concluded in March 2015 that it is probably carcinogenic. The IARC conclusion was not confirmed by the EU assessment or the recent joint WHO/FAO evaluation, both using additional evidence. Glyphosate is not the first topic of disagreement between IARC and regulatory evaluations, but has received greater attention. This review presents the scientific basis of the glyphosate health assessment conducted within the European Union (EU) renewal process, and explains the differences in the carcinogenicity assessment with IARC. Use of different data sets, particularly on long-term toxicity/carcinogenicity in rodents, could partially explain the divergent views; but methodological differences in the evaluation of the available evidence have been identified. The EU assessment did not identify a carcinogenicity hazard, revised the toxicological profile proposing new toxicological reference values, and conducted a risk assessment for some representatives uses. Two complementary exposure assessments, human-biomonitoring and food-residues-monitoring, suggests that actual exposure levels are below these reference values and do not represent a public concern.
Collapse
Affiliation(s)
- Jose V Tarazona
- Pesticides Unit, European Food Safety Authority, Via Carlo Magno 1/A, 43126, Parma, Italy.
| | - Daniele Court-Marques
- Pesticides Unit, European Food Safety Authority, Via Carlo Magno 1/A, 43126, Parma, Italy
| | - Manuela Tiramani
- Pesticides Unit, European Food Safety Authority, Via Carlo Magno 1/A, 43126, Parma, Italy
| | - Hermine Reich
- Pesticides Unit, European Food Safety Authority, Via Carlo Magno 1/A, 43126, Parma, Italy
| | - Rudolf Pfeil
- Federal Institute for Risk Assessment (BfR), Berlin, Germany
| | - Frederique Istace
- Pesticides Unit, European Food Safety Authority, Via Carlo Magno 1/A, 43126, Parma, Italy
| | - Federica Crivellente
- Pesticides Unit, European Food Safety Authority, Via Carlo Magno 1/A, 43126, Parma, Italy
| |
Collapse
|
16
|
Portier CJ, Armstrong BK, Baguley BC, Baur X, Belyaev I, Bellé R, Belpoggi F, Biggeri A, Bosland MC, Bruzzi P, Budnik LT, Bugge MD, Burns K, Calaf GM, Carpenter DO, Carpenter HM, López-Carrillo L, Clapp R, Cocco P, Consonni D, Comba P, Craft E, Dalvie MA, Davis D, Demers PA, De Roos AJ, DeWitt J, Forastiere F, Freedman JH, Fritschi L, Gaus C, Gohlke JM, Goldberg M, Greiser E, Hansen J, Hardell L, Hauptmann M, Huang W, Huff J, James MO, Jameson CW, Kortenkamp A, Kopp-Schneider A, Kromhout H, Larramendy ML, Landrigan PJ, Lash LH, Leszczynski D, Lynch CF, Magnani C, Mandrioli D, Martin FL, Merler E, Michelozzi P, Miligi L, Miller AB, Mirabelli D, Mirer FE, Naidoo S, Perry MJ, Petronio MG, Pirastu R, Portier RJ, Ramos KS, Robertson LW, Rodriguez T, Röösli M, Ross MK, Roy D, Rusyn I, Saldiva P, Sass J, Savolainen K, Scheepers PTJ, Sergi C, Silbergeld EK, Smith MT, Stewart BW, Sutton P, Tateo F, Terracini B, Thielmann HW, Thomas DB, Vainio H, Vena JE, Vineis P, Weiderpass E, Weisenburger DD, Woodruff TJ, Yorifuji T, Yu IJ, Zambon P, Zeeb H, Zhou SF. Differences in the carcinogenic evaluation of glyphosate between the International Agency for Research on Cancer (IARC) and the European Food Safety Authority (EFSA). J Epidemiol Community Health 2016; 70:741-745. [PMID: 26941213 PMCID: PMC4975799 DOI: 10.1136/jech-2015-207005] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
| | | | | | - Xaver Baur
- Charité University Medicine Berlin, Berlin, Germany
| | - Igor Belyaev
- Cancer Research Institute, Bratislava, Slovak Republic
| | - Robert Bellé
- Sorbonne Universités, UPMC Univ Paris 06, UMR8227, Roscoff, France
| | | | - Annibale Biggeri
- Institute for Cancer Prevention and Research, University of Florence, Italy
| | | | - Paolo Bruzzi
- National Cancer Research Institute, San Martino—IST Hospital, Genoa, Italy
| | | | - Merete D Bugge
- STAMI, National Institute of Occupational Health, Oslo, Norway
| | | | - Gloria M Calaf
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile
| | - David O Carpenter
- Institute for Health and the Environment, University at Albany, Rensselaer, New York, USA
| | | | | | - Richard Clapp
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - Dario Consonni
- Department of Preventive Medicine, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Pietro Comba
- Department of Environment and Primary Prevention, IstitutoSuperiore di Sanità, Rome, Italy
| | - Elena Craft
- Environmental Defense Fund, Austin, Texas, USA
| | - Mohamed Aqiel Dalvie
- Center for Environmental and Occupational Health, University of Cape Town, Cape Town, South Africa
| | - Devra Davis
- Environmental Health Trust, Jackson Hole, Wyoming, USA and The Hebrew University Hadassah School of Medicine, Jerusalem, Israel.
| | - Paul A Demers
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Jamie DeWitt
- Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA
| | | | | | - Lin Fritschi
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Caroline Gaus
- Department of Environmental Toxicology, The University of Queensland, Brisbane, Australia
| | - Julia M Gohlke
- Department of Population Health Sciences, Virginia Tech, Blacksburg, Virginia, USA
| | | | | | - Johnni Hansen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Michael Hauptmann
- Biostatistics Branch, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Wei Huang
- Faculty of Department of Occupational and Environmental Health, Peking Univ School of Public Health, Beijing, China
| | - James Huff
- National Institute for Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | | | - C W Jameson
- CWJ Consulting, LLC, Cape Coral, Florida, USA
| | - Andreas Kortenkamp
- Institute of Environment, Health and Societies, Brunel University London, London, UK
| | | | - Hans Kromhout
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Marcelo L Larramendy
- National Council of Scientific and Technological Research, National University of La Plata, Argentina
| | - Philip J Landrigan
- Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai,New York, USA
| | - Lawrence H Lash
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | | | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Corrado Magnani
- Cancer Epidemiology Unit, University of Eastern Piedmont, Novara, Italy
| | | | | | - Enzo Merler
- Department of Prevention, Occupational Health Unit, National Health Service, Padua, Italy
| | | | - Lucia Miligi
- Occupational and Environmental Epidemiology Unit, ISPO-Cancer Prevention and Research Institute, Florence, Italy
| | - Anthony B Miller
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Dario Mirabelli
- Unit of Cancer Epidemiology, University of Turin and CPO-Piemonte, Torino, Italy
| | - Franklin E Mirer
- Department of Environmental and Occupational Health Sciences, City University of New York School of Public Health, USA
| | - Saloshni Naidoo
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Melissa J Perry
- Department of Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington DC, USA
| | - Maria Grazia Petronio
- Health and Environment-Department of Prevention, Local Health Authority-Empoli, Florence, Italy
| | - Roberta Pirastu
- Department of Biology and Biotechnology “Charles Darwin”, Sapienza Rome University, Italy
| | - Ralph J Portier
- Department of Environmental Sciences, School of the Coast & Environment, Louisiana State University, Baton Rouge, Los Angeles, USA
| | - Kenneth S Ramos
- Center for Applied Genetics and Genomic Medicine, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Larry W Robertson
- Iowa Superfund Research Program and the Interdisciplinary Graduate Program in Human Toxicology, University of Iowa, Iowa City, Iowa, USA
| | - Theresa Rodriguez
- Center for Research in Health, Work and Environment (CISTA), National Autonomous University of Nicaragua (UNAN-León), León, Nicaragua
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Associated Institute of the University of Basel, Basel, Switzerland
| | - Matt K Ross
- College of Veterinary Medicine, Mississippi State University, Mississippi State, USA
| | - Deodutta Roy
- Department of Environmental and Occupational Health, Florida International University, Miami, Florida, USA
| | - Ivan Rusyn
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Paulo Saldiva
- Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Jennifer Sass
- Natural Resources Defense Council and George Washington University, Washington DC, USA
| | - Kai Savolainen
- Nanosafety Research Centre, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Paul T J Scheepers
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Consolato Sergi
- Department of Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Ellen K Silbergeld
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Martyn T Smith
- School of Public Health, University of California, Berkeley, California, USA
| | - Bernard W Stewart
- Faculty of Medicine, University of New South Wales, Randwick, New South WalesAustralia
| | - Patrice Sutton
- Program on Reproductive Health and the Environment, University of California, San Francisco, California, USA
| | - Fabio Tateo
- Istituto di Geosceinze e Georisorse (CNR), Padova, Italy
| | | | - Heinz W Thielmann
- German Cancer Research Center, Heidelberg and Faculty of Pharmacy, Heidelberg University, Germany
| | - David B Thomas
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington, USA
| | - Harri Vainio
- Faculty of Public Health, Kuwait University, Kuwait City, Kuwait
| | - John E Vena
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Paolo Vineis
- Department of Environmental Epidemiology, Imperial College London, London, UK
| | - Elisabete Weiderpass
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; and Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland.
| | | | - Tracey J Woodruff
- Program on Reproductive Health and the Environment, University of California, San Francisco, USA
| | | | - Il Je Yu
- Institute of Nanoproduct Safety Research, Hoseo University, Asan, The Republic of Korea
| | | | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz-Institute for Prevention Research and Epidemiology, Bremen, Germany
| | - Shu-Feng Zhou
- College of Pharmacy, University of South Florida, Tampa, Florida, USA
| |
Collapse
|
17
|
Baldrick P. Carcinogenicity Evaluation: Comparison of Tumor Data from Dual Control Groups in the Sprague–Dawley Rat. Toxicol Pathol 2016; 33:283-91. [PMID: 15902972 DOI: 10.1080/019262390908371] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Following recent clarification in Europe that a single control group is now acceptable for rodent carcinogenicity studies, the use of dual controls may be reduced or disappear. To date, virtually nothing has been published on whether this latter situation has improved the identification of tumorigenic risk potential in these studies. In this paper, the results of 13 rat carcinogenicity studies, performed between 1991 and 2002, with 2 control groups, are presented. Although no major differences in tumor incidences between these dual control groups were found, some interstudy variation occurred. In cases where a notable difference was seen, the use of 2 control groups, as well as robust, contemporary background data, allowed an easier interpretation of findings in drug-treated groups. Thus, the continued use of dual control groups has a vital role in the assessment of tumoriogenic risk. The paper also presents an update on survival, on the range and extent of background spontaneous neoplasms, and comments on genetic drift in this commonly used rat strain.
Collapse
Affiliation(s)
- Paul Baldrick
- Scientific and Regulatory Consulting, Covance Laboratories Ltd., Otley Road, Harrogate, HG3 1PY North Yorkshire, United Kingdom.
| |
Collapse
|
18
|
Baldrick P, Reeve L. Carcinogenicity Evaluation: Comparison of Tumor Data from Dual Control Groups in the CD–1 Mouse. Toxicol Pathol 2016; 35:562-9. [PMID: 17562489 DOI: 10.1080/01926230701347330] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Current regulatory thinking allows for the use of single control groups for rodent carcinogenicity testing although there has been a trend until recently to use dual control groups. To date, virtually nothing has been published on whether a shift from dual to single control groups will affect the identification of tumorigenic risk potential in these studies. A recent evaluation of dual control carcinogenicity data in the rat (Baldrick, Toxicol Pathol 2005, 33: 283–291) showed that although no major differences in tumor incidences between the control groups were found, some interstudy variation occurred and in cases were a notable difference was seen, the use of 2 control groups, as well as robust, contemporary background data, allowed an easier interpretation of findings in drug-treated groups. In this paper, the results of 10 mouse carcinogenicity studies, performed between 1991 and 2004, with 2 control groups, are presented. As in the rat, interstudy variation was seen and in some cases, the use of dual control groups assisted in the tumor risk assessment. Thus, the continued use of 2 control groups can have a vital role in mouse carcinogenicity studies. The paper also presents an update on survival, on the range and extent of background spontaneous neoplasms and comments on genetic drift in this commonly used mouse strain.
Collapse
Affiliation(s)
- Paul Baldrick
- Scientific and Regulatory Consulting, Covance Laboratories Ltd., England, HG3 1PY, United Kingdom.
| | | |
Collapse
|
19
|
Portier CJ, Armstrong BK, Baguley BC, Baur X, Belyaev I, Bellé R, Belpoggi F, Biggeri A, Bosland MC, Bruzzi P, Budnik LT, Bugge MD, Burns K, Calaf GM, Carpenter DO, Carpenter HM, López-Carrillo L, Clapp R, Cocco P, Consonni D, Comba P, Craft E, Dalvie MA, Davis D, Demers PA, De Roos AJ, DeWitt J, Forastiere F, Freedman JH, Fritschi L, Gaus C, Gohlke JM, Goldberg M, Greiser E, Hansen J, Hardell L, Hauptmann M, Huang W, Huff J, James MO, Jameson CW, Kortenkamp A, Kopp-Schneider A, Kromhout H, Larramendy ML, Landrigan PJ, Lash LH, Leszczynski D, Lynch CF, Magnani C, Mandrioli D, Martin FL, Merler E, Michelozzi P, Miligi L, Miller AB, Mirabelli D, Mirer FE, Naidoo S, Perry MJ, Petronio MG, Pirastu R, Portier RJ, Ramos KS, Robertson LW, Rodriguez T, Röösli M, Ross MK, Roy D, Rusyn I, Saldiva P, Sass J, Savolainen K, Scheepers PTJ, Sergi C, Silbergeld EK, Smith MT, Stewart BW, Sutton P, Tateo F, Terracini B, Thielmann HW, Thomas DB, Vainio H, Vena JE, Vineis P, Weiderpass E, Weisenburger DD, Woodruff TJ, Yorifuji T, Yu IJ, Zambon P, Zeeb H, Zhou SF. Differences in the carcinogenic evaluation of glyphosate between the International Agency for Research on Cancer (IARC) and the European Food Safety Authority (EFSA). J Epidemiol Community Health 2016. [PMID: 26941213 DOI: 10.1136/jech-2015-207005.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
| | | | | | - Xaver Baur
- Charité University Medicine Berlin, Berlin, Germany
| | - Igor Belyaev
- Cancer Research Institute, Bratislava, Slovak Republic
| | - Robert Bellé
- Sorbonne Universités, UPMC Univ Paris 06, UMR8227, Roscoff, France
| | | | - Annibale Biggeri
- Institute for Cancer Prevention and Research, University of Florence, Italy
| | | | - Paolo Bruzzi
- National Cancer Research Institute, San Martino-IST Hospital, Genoa, Italy
| | | | - Merete D Bugge
- STAMI, National Institute of Occupational Health, Oslo, Norway
| | | | - Gloria M Calaf
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile
| | - David O Carpenter
- Institute for Health and the Environment, University at Albany, Rensselaer, New York, USA
| | | | | | - Richard Clapp
- Boston University School of Public Health, Boston, Massachusetts, USA
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Cagliari, Italy
| | - Dario Consonni
- Department of Preventive Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Pietro Comba
- Department of Environment and Primary Prevention, IstitutoSuperiore di Sanità, Rome, Italy
| | - Elena Craft
- Environmental Defense Fund, Austin, Texas, USA
| | - Mohamed Aqiel Dalvie
- Center for Environmental and Occupational Health, University of Cape Town, Cape Town, South Africa
| | - Devra Davis
- Environmental Health Trust, Jackson Hole, Wyoming, USA and The Hebrew University Hadassah School of Medicine, Jerusalem, Israel
| | - Paul A Demers
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Jamie DeWitt
- Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA
| | | | | | - Lin Fritschi
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Caroline Gaus
- Department of Environmental Toxicology, The University of Queensland, Brisbane, Australia
| | - Julia M Gohlke
- Department of Population Health Sciences, Virginia Tech, Blacksburg, Virginia, USA
| | | | | | - Johnni Hansen
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Michael Hauptmann
- Biostatistics Branch, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Wei Huang
- Faculty of Department of Occupational and Environmental Health, Peking Univ School of Public Health, Beijing, China
| | - James Huff
- National Institute for Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | | | - C W Jameson
- CWJ Consulting, LLC, Cape Coral, Florida, USA
| | - Andreas Kortenkamp
- Institute of Environment, Health and Societies, Brunel University London, London, UK
| | | | - Hans Kromhout
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Marcelo L Larramendy
- National Council of Scientific and Technological Research, National University of La Plata, Argentina
| | - Philip J Landrigan
- Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Lawrence H Lash
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, USA
| | | | - Charles F Lynch
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Corrado Magnani
- Cancer Epidemiology Unit, University of Eastern Piedmont, Novara, Italy
| | | | | | - Enzo Merler
- Department of Prevention, Occupational Health Unit, National Health Service, Padua, Italy
| | | | - Lucia Miligi
- Occupational and Environmental Epidemiology Unit, ISPO-Cancer Prevention and Research Institute, Florence, Italy
| | - Anthony B Miller
- Dalla Lana School of Public Health, University of Toronto, Canada
| | - Dario Mirabelli
- Unit of Cancer Epidemiology, University of Turin and CPO-Piemonte, Torino, Italy
| | - Franklin E Mirer
- Department of Environmental and Occupational Health Sciences, City University of New York School of Public Health, USA
| | - Saloshni Naidoo
- School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Melissa J Perry
- Department of Environmental and Occupational Health, Milken Institute School of Public Health, The George Washington University, Washington DC, USA
| | - Maria Grazia Petronio
- Health and Environment-Department of Prevention, Local Health Authority-Empoli, Florence, Italy
| | - Roberta Pirastu
- Department of Biology and Biotechnology "Charles Darwin", Sapienza Rome University, Italy
| | - Ralph J Portier
- Department of Environmental Sciences, School of the Coast & Environment, Louisiana State University, Baton Rouge, Los Angeles, USA
| | - Kenneth S Ramos
- Center for Applied Genetics and Genomic Medicine, University of Arizona Health Sciences, Tucson, Arizona, USA
| | - Larry W Robertson
- Iowa Superfund Research Program and the Interdisciplinary Graduate Program in Human Toxicology, University of Iowa, Iowa City, Iowa, USA
| | - Theresa Rodriguez
- Center for Research in Health, Work and Environment (CISTA), National Autonomous University of Nicaragua (UNAN-León), León, Nicaragua
| | - Martin Röösli
- Swiss Tropical and Public Health Institute, Associated Institute of the University of Basel, Basel, Switzerland
| | - Matt K Ross
- College of Veterinary Medicine, Mississippi State University, Mississippi State, USA
| | - Deodutta Roy
- Department of Environmental and Occupational Health, Florida International University, Miami, Florida, USA
| | - Ivan Rusyn
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA
| | - Paulo Saldiva
- Faculty of Medicine, University of São Paulo, São Paulo, Brazil
| | - Jennifer Sass
- Natural Resources Defense Council and George Washington University, Washington DC, USA
| | - Kai Savolainen
- Nanosafety Research Centre, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Paul T J Scheepers
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Consolato Sergi
- Department of Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Ellen K Silbergeld
- Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Martyn T Smith
- School of Public Health, University of California, Berkeley, California, USA
| | - Bernard W Stewart
- Faculty of Medicine, University of New South Wales, Randwick, New South Wales Australia
| | - Patrice Sutton
- Program on Reproductive Health and the Environment, University of California, San Francisco, California, USA
| | - Fabio Tateo
- Istituto di Geosceinze e Georisorse (CNR), Padova, Italy
| | | | - Heinz W Thielmann
- German Cancer Research Center, Heidelberg and Faculty of Pharmacy, Heidelberg University, Germany
| | - David B Thomas
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington, USA
| | - Harri Vainio
- Faculty of Public Health, Kuwait University, Kuwait City, Kuwait
| | - John E Vena
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Paolo Vineis
- Department of Environmental Epidemiology, Imperial College London, London, UK
| | - Elisabete Weiderpass
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway; Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; and Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | | | - Tracey J Woodruff
- Program on Reproductive Health and the Environment, University of California, San Francisco, USA
| | | | - Il Je Yu
- Institute of Nanoproduct Safety Research, Hoseo University, Asan, The Republic of Korea
| | | | - Hajo Zeeb
- Department of Prevention and Evaluation, Leibniz-Institute for Prevention Research and Epidemiology, Bremen, Germany
| | - Shu-Feng Zhou
- College of Pharmacy, University of South Florida, Tampa, Florida, USA
| |
Collapse
|
20
|
Kramer M, Font E. Reducing sample size in experiments with animals: historical controls and related strategies. Biol Rev Camb Philos Soc 2015; 92:431-445. [DOI: 10.1111/brv.12237] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 10/09/2015] [Accepted: 10/12/2015] [Indexed: 12/26/2022]
Affiliation(s)
- Matthew Kramer
- Statistics Group, Agricultural Research Service; United States Department of Agriculture; 10300 Baltimore Ave., Building 005 Beltsville MD 20705 U.S.A
| | - Enrique Font
- Laboratorio de Etología; Instituto Cavanilles de Biodiversidad y Biología Evolutiva, Universidad de Valencia; c/Catedrático José Beltrán 2 46980 Paterna Valencia Spain
| |
Collapse
|
21
|
Bate S, Karp NA. A common control group - optimising the experiment design to maximise sensitivity. PLoS One 2014; 9:e114872. [PMID: 25504147 PMCID: PMC4263717 DOI: 10.1371/journal.pone.0114872] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2014] [Accepted: 11/14/2014] [Indexed: 11/19/2022] Open
Abstract
Methods for choosing an appropriate sample size in animal experiments have received much attention in the statistical and biological literature. Due to ethical constraints the number of animals used is always reduced where possible. However, as the number of animals decreases so the risk of obtaining inconclusive results increases. By using a more efficient experimental design we can, for a given number of animals, reduce this risk. In this paper two popular cases are considered, where planned comparisons are made to compare treatments back to control and when researchers plan to make all pairwise comparisons. By using theoretical and empirical techniques we show that for studies where all pairwise comparisons are made the traditional balanced design, as suggested in the literature, maximises sensitivity. For studies that involve planned comparisons of the treatment groups back to the control group, which are inherently more sensitive due to the reduced multiple testing burden, the sensitivity is maximised by increasing the number of animals in the control group while decreasing the number in the treated groups.
Collapse
Affiliation(s)
- Simon Bate
- Statistical Science Europe, GlaxoSmithKline Pharmaceuticals, Stevenage, United Kingdom
- * E-mail:
| | - Natasha A. Karp
- Mouse Informatics Group, Wellcome Trust Sanger Institute, Cambridge, United Kingdom
| |
Collapse
|
22
|
Brayton CF, Treuting PM, Ward JM. Pathobiology of aging mice and GEM: background strains and experimental design. Vet Pathol 2014; 49:85-105. [PMID: 22215684 DOI: 10.1177/0300985811430696] [Citation(s) in RCA: 120] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The use of induced and spontaneous mutant mice and genetically engineered mice (and combinations thereof) to study cancers and other aging phenotypes to advance improved functional human life spans will involve studies of aging mice. Genetic background contributes to pathology phenotypes and to causes of death as well as to longevity. Increased recognition of expected phenotypes, experimental variables that influence phenotypes and research outcomes, and experimental design options and rationales can maximize the utility of genetically engineered mice (GEM) models to translational research on aging. This review aims to provide resources to enhance the design and practice of chronic and longevity studies involving GEM. C57BL6, 129, and FVB/N strains are emphasized because of their widespread use in the generation of knockout, transgenic, and conditional mutant GEM. Resources are included also for pathology of other inbred strain families, including A, AKR, BALB/c, C3H, C57L, C58, CBA, DBA, GR, NOD.scid, SAMP, and SJL/J, and non-inbred mice, including 4WC, AB6F1, Ames dwarf, B6, 129, B6C3F1, BALB/c,129, Het3, nude, SENCAR, and several Swiss stocks. Experimental strategies for long-term cross-sectional and longitudinal studies to assess causes of or contributors to death, disease burden, spectrum of pathology phenotypes, longevity, and functional healthy life spans (health spans) are compared and discussed.
Collapse
Affiliation(s)
- C F Brayton
- Johns Hopkins University, 733 North Broadway, BRB Ste 851, Baltimore, MD 21205, USA.
| | | | | |
Collapse
|
23
|
Nagatani M, Kudo K, Yamakawa S, Ohira T, Yamaguchi Y, Ikezaki S, Suzuki I, Saito T, Hoshiya T, Tamura K, Uchida K. Occurrence of Spontaneous Tumors in the Central Nervous System (CNS) of F344 and SD Rats. J Toxicol Pathol 2013; 26:263-73. [PMID: 24155559 PMCID: PMC3787604 DOI: 10.1293/tox.26.263] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2012] [Accepted: 03/06/2013] [Indexed: 11/22/2022] Open
Abstract
In order to accurately assess the carcinogenicity of chemicals with regard to rare
tumors such as rat CNS tumors, sufficient information about spontaneous tumors are very
important. This paper presents the data on the type, incidence and detected age of CNS
tumors in F344/DuCrlCrlj (a total of 1363 males and 1363 females) and Crl:CD(SD) rats (a
total of 1650 males and 1705 females) collected from in-house background data-collection
studies and control groups of carcinogenicity studies at our laboratory, together with
those previously reported in F344 and SD rats. The present data on F344/DuCrlCrlj rats
(F344 rats) and Crl:CD(SD) rats (SD rats) clarified the following. (1) The incidences of
all CNS tumors observed in F344 rats were less than 1%. (2) The incidences of malignant
astrocytoma and granular cell tumor were higher in male SD rats than in female SD rats.
(3) The incidences of astrocytoma and granular cell tumor were higher in SD rats than in
F344 rats. (4) Among astrocytoma, oligodendroglioma and granular cell tumor,
oligodendroglioma was detected at the youngest age, followed by astrocytoma, and
ultimately, granular cell tumor developed in both strains. The incidences observed in our
study were almost consistent with those previously reported in F344 and SD rats.
Collapse
Affiliation(s)
- Mariko Nagatani
- Hamamatsu Branch of Pathology Division, BOZO Research Center Inc., 164-2 Wada-cho, Higashi-ku, Hamamatsu, Shizuoka 435-0016, Japan
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
24
|
A review of mammalian carcinogenicity study design and potential effects of alternate test procedures on the safety evaluation of food ingredients. Regul Toxicol Pharmacol 2011; 60:S1-34. [DOI: 10.1016/j.yrtph.2010.10.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2010] [Accepted: 10/04/2010] [Indexed: 11/22/2022]
|
25
|
Dinse GE, Peddada SD, Harris SF, Elmore SA. Comparison of NTP historical control tumor incidence rates in female Harlan Sprague Dawley and Fischer 344/N Rats. Toxicol Pathol 2010; 38:765-75. [PMID: 20622195 DOI: 10.1177/0192623310373777] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The National Toxicology Program (NTP) has historically used Fischer 344/N (F344/N) rats for the majority of its bioassays. Recently the NTP began using the Harlan Sprague Dawley (SD) as the primary rat model for NTP studies. The NTP had previously used female SD rats in nine bioassays. This article compares historical control (HC) tumor incidence rates from these nine SD rat studies with HC tumor rates from matched NTP F344/N rat bioassays to identify similarities and differences. Matching on sex, laboratory, diet, and route led to nine comparable F344/N rat studies. Our analyses revealed statistically significant strain differences, with female SD rats having lower incidence rates for clitoral gland adenoma (0.2% vs. 5.8%) and mononuclear cell leukemia (0.9% vs. 16.7%) and higher incidence rates for mammary gland fibroadenoma (67.4% vs. 48.4%), mammary gland carcinoma (10.2% vs. 2.4%), and thyroid gland C cell adenoma (25.4% vs. 13.6%) relative to female F344/N rats. These represent five of the seven most common tumor types among female SD and F344/N rats in the NTP HC database. When vehicle was included as an additional matching criterion, the number of comparable F344/N rat studies dropped to four, but similar results were obtained.
Collapse
Affiliation(s)
- Gregg E Dinse
- Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | | | | | | |
Collapse
|
26
|
McGregor D, Boobis A, Binaglia M, Botham P, Hoffstadt L, Hubbard S, Petry T, Riley A, Schwartz D, Hennes C. Guidance for the classification of carcinogens under the Globally Harmonised System of Classification and Labelling of Chemicals (GHS). Crit Rev Toxicol 2010; 40:245-85. [PMID: 20014893 DOI: 10.3109/10408440903384717] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The United Nations Conference on Environment and Development (UNCED) has developed criteria for a globally harmonised system of classification and labelling of chemicals (GHS). With regard to carcinogenicity, GHS distinguishes between Category 1 ('known or presumed human carcinogens') and Category 2 ('suspected human carcinogens'). Category 1 carcinogens are divided into Category 1A ('known to have carcinogenic potential for humans'), based largely on human evidence, and 1B ('presumed to have carcinogenic potential for humans'), based largely on experimental animal data. Concerns have been raised that the criteria for applying these carcinogenicity classifications are not sufficiently well defined and potentially allow different conclusions to be drawn. The current document describes an attempt to reduce the potential for diverse conclusions resulting from the GHS classification system through the application of a series of questions during the evaluation of data from experiments with rodents; epidemiological data, which could lead to Category 1A, have not been considered. Answers to each question can lead either to a classification decision or to the next question, but this process should only be implemented in an environment of informed scientific opinion. The scheme is illustrated with five case studies. These questions are: (1) Has a relevant form of the substance been tested? (2) Is the study design relevant to human exposure? (3) Is there a substance-related response? (4) Is the target tissue exposure relevant to humans? (5) Can a mode of action be established? (6) Is the mode of action relevant to humans? (7) What is the potency?
Collapse
Affiliation(s)
- Douglas McGregor
- Toxicity Evaluation Consultants, Aberdour, Scotland, United Kingdom
| | | | | | | | | | | | | | | | | | | |
Collapse
|
27
|
Keenan C, Elmore S, Francke-Carroll S, Kemp R, Kerlin R, Peddada S, Pletcher J, Rinke M, Schmidt SP, Taylor I, Wolf DC. Best practices for use of historical control data of proliferative rodent lesions. Toxicol Pathol 2009; 37:679-93. [PMID: 19454599 DOI: 10.1177/0192623309336154] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
|
28
|
Study of the long-term carcinogenicity potential of D-003, a mixture of high molecular weight sugarcane wax acids, in mice. Food Chem Toxicol 2009; 47:687-92. [DOI: 10.1016/j.fct.2008.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2008] [Revised: 11/04/2008] [Accepted: 11/11/2008] [Indexed: 11/20/2022]
|
29
|
Tyl RW, Crofton K, Moretto A, Moser V, Sheets LP, Sobotka TJ. Identification and interpretation of developmental neurotoxicity effects. Neurotoxicol Teratol 2008; 30:349-81. [PMID: 17826946 DOI: 10.1016/j.ntt.2007.07.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2007] [Revised: 07/25/2007] [Accepted: 07/29/2007] [Indexed: 11/28/2022]
Abstract
The reliable detection, measurement, and interpretation of treatment-related developmental neurotoxicity (DNT) effects depend on appropriate study design and execution, using scientifically established methodologies, with appropriate controls to minimize confounding factors. Appropriate statistical approaches should be optimized for the specific endpoints in advance, analyzing effects across time and functional domains as far as possible. If available, biomarkers of exposure are useful to assess the bioavailability of toxicants to the dam and offspring in utero and after birth. Finally, "weight of evidence" principles are used to aid assessment of the biological significance of differences from concurrent controls. These effects should be interpreted in light of available information from historical controls, positive controls, maternal and offspring systemic toxicity, and other relevant toxicological data. This review provides a framework for the integration of all these types of information in the interpretation of DNT studies.
Collapse
|
30
|
Gámez R, Noa M, Mas R, Mendoza N, Pardo B, Menéndez R, Pérez Y, González R, Gutiérrez A, Marrero G, Goicochea E, García H, Curveco D. Long-term carcinogenicity of D-003, a mixture of high molecular weight acids from sugarcane wax, in Sprague Dawley rats: A 24 months study. Food Chem Toxicol 2007; 45:2352-8. [DOI: 10.1016/j.fct.2007.05.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2006] [Revised: 05/19/2007] [Accepted: 05/22/2007] [Indexed: 10/23/2022]
|
31
|
Crofton KM, Foss JA, Hass U, Jensen KF, Levin ED, Parker SP. Undertaking positive control studies as part of developmental neurotoxicity testing: a report from the ILSI Research Foundation/Risk Science Institute expert working group on neurodevelopmental endpoints. Neurotoxicol Teratol 2007; 30:266-87. [PMID: 17681747 DOI: 10.1016/j.ntt.2007.06.002] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2007] [Revised: 04/26/2007] [Accepted: 06/07/2007] [Indexed: 10/23/2022]
Abstract
Developmental neurotoxicity testing involves functional and neurohistological assessments in offspring during and following maternal and/or neonatal exposure. Data from positive control studies are an integral component in developmental neurotoxicity risk assessments. Positive control data are crucial for evaluating a laboratory's capability to detect chemical-induced changes in measured endpoints. Positive control data are also valuable in a weight-of-evidence approach to help determine the biological significance of results and provide confidence in negative results from developmental neurotoxicity (DNT) studies. This review is a practical guide for the selection and use of positive control agents in developmental neurotoxicology. The advantages and disadvantages of various positive control agents are discussed for the endpoints in developmental neurotoxicity studies. Design issues specific to positive control studies in developmental neurotoxicity are considered and recommendations on how to interpret and report positive control data are made. Positive control studies should be conducted as an integral component of the incorporation and use of developmental neurotoxicity testing methods in laboratories that generate data used in risk decisions.
Collapse
Affiliation(s)
- Kevin M Crofton
- Neurotoxicology Division, NHEERL, ORD, US EPA, Research Triangle Park, NC, USA.
| | | | | | | | | | | |
Collapse
|
32
|
Peddada SD, Dinse GE, Kissling GE. Incorporating Historical Control Data When Comparing Tumor Incidence Rates. J Am Stat Assoc 2007; 102:1212-1220. [PMID: 20396669 PMCID: PMC2853781 DOI: 10.1198/016214506000001356] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Animal carcinogenicity studies, such as those conducted by the U.S. National Toxicology Program (NTP), focus on detecting trends in tumor rates across dose groups. Over time, the NTP has compiled vast amounts of data on tumors in control animals. Currently, this information is used informally, without the benefit of statistical tests for carcinogenicity that directly incorporate historical data on control animals. This article proposes a survival-adjusted test for detecting dose-related trends in tumor incidence rates, which incorporates data on historical control rates and formally accounts for variation in these rates among studies. An extensive simulation, based on a wide range of realistic situations, demonstrates that the proposed test performs well in comparison to the current NTP test, which does not incorporate historical control data. In particular, our test can aid in interpreting the occurrence of a few tumors in treated animals that are rarely seen in controls. One such example, which motivates our work, concerns the analysis of histiocytic sarcoma in the NTP's 2-year cancer bioassay of benzophenone. Whereas the occurrence of three histiocytic sarcomas in female rats was not significant according to the current NTP testing procedure (P = 0.074), it was highly significant (P = 0.004) when control data from six recent historical studies were included and our test was applied to the combined data.
Collapse
|
33
|
Brix AE, Nyska A, Haseman JK, Sells DM, Jokinen MP, Walker NJ. Incidences of selected lesions in control female Harlan Sprague-Dawley rats from two-year studies performed by the National Toxicology Program. Toxicol Pathol 2005; 33:477-83. [PMID: 16036865 DOI: 10.1080/01926230590961836] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The NTP has a long history of using Fischer rats and has compiled a large database of incidences of lesions seen in control animals. Such a database is lacking for Harlan Sprague-Dawley (SD) rats. The intention of this paper is to report spontaneous lesions observed in female vehicle control Harlan SD rats, and to compare the incidence in 2 strains of rats (Fischer and Harlan SD) used in NTP studies. Female Harlan SD rats served as the test animals for a special series of 2-year studies. Male rats were not used in these studies. Complete histopathology was performed on all animals, and the pathology results underwent comprehensive NTP pathology peer review. The most commonly observed neoplasms in these female control Harlan SD rats were mammary gland fibroadenoma (71%), tumors of the pars distalis of the pituitary (41%) and thyroid gland C-cell tumors (30%). Female Fischer rats had incidences of 44% for mammary gland fibroadenomas, 34% for tumors of the pars distalis, and 16% for thyroid gland C-cell tumors. Fischer rats had a 15% incidence of clitoral gland tumors, while the Harlan SD rats had an incidence of < 1%. In contrast to Fischer F344 rats, the Harlan SD rats had a high incidence of squamous metaplasia of the uterus (44.2%). Squamous metaplasia is not a lesion commonly observed in NTP control Fischer rats. The Harlan SD rats had a very low incidence of mononuclear cell leukemia (0.5%), compared with an incidence of 24% in female Fischer rats.
Collapse
Affiliation(s)
- Amy E Brix
- Experimental Pathology Laboratories, PO Box 12766, Research Triangle Park, NC 27709, USA.
| | | | | | | | | | | |
Collapse
|