Derivation of point of departure (PoD) estimates in genetic toxicology studies and their potential applications in risk assessment. (6th May 2014)
- Record Type:
- Journal Article
- Title:
- Derivation of point of departure (PoD) estimates in genetic toxicology studies and their potential applications in risk assessment. (6th May 2014)
- Main Title:
- Derivation of point of departure (PoD) estimates in genetic toxicology studies and their potential applications in risk assessment
- Authors:
- Johnson, G.E.
Soeteman‐Hernández, L.G.
Gollapudi, B.B.
Bodger, O.G.
Dearfield, K.L.
Heflich, R.H.
Hixon, J.G.
Lovell, D.P.
MacGregor, J.T.
Pottenger, L.H.
Thompson, C.M.
Abraham, L.
Thybaud, V.
Tanir, J.Y.
Zeiger, E.
van Benthem, J.
White, P.A. - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Genetic toxicology data have traditionally been employed for qualitative, rather than quantitative evaluations of hazard. As a continuation of our earlier report that analyzed ethyl methanesulfonate (EMS) and methyl methanesulfonate (MMS) dose–response data (Gollapudi et al., 2013), here we present analyses of 1‐ethyl‐1‐nitrosourea (ENU) and 1‐methyl‐1‐nitrosourea (MNU) dose–response data and additional approaches for the determination of genetic toxicity point‐of‐departure (PoD) metrics. We previously described methods to determine the no‐observed‐genotoxic‐effect‐level (NOGEL), the breakpoint‐dose (BPD; previously named Td), and the benchmark dose (BMD<sub>10</sub>) for genetic toxicity endpoints. In this study we employed those methods, along with a new approach, to determine the non‐linear slope‐transition‐dose (STD), and alternative methods to determine the BPD and BMD, for the analyses of nine ENU and 22 MNU datasets across a range of <italic>in vitro</italic> and <italic>in vivo</italic> endpoints. The NOGEL, BMDL<sub>10</sub> and BMDL<sub>1SD</sub> PoD metrics could be readily calculated for most gene mutation and chromosomal damage studies; however, BPDs and STDs could not always be derived due to data limitations and constraints of the underlying statistical methods. The BMDL<sub>10</sub> values were often lower than the other PoDs, and the distribution of BMDL<sub>10</sub><abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Genetic toxicology data have traditionally been employed for qualitative, rather than quantitative evaluations of hazard. As a continuation of our earlier report that analyzed ethyl methanesulfonate (EMS) and methyl methanesulfonate (MMS) dose–response data (Gollapudi et al., 2013), here we present analyses of 1‐ethyl‐1‐nitrosourea (ENU) and 1‐methyl‐1‐nitrosourea (MNU) dose–response data and additional approaches for the determination of genetic toxicity point‐of‐departure (PoD) metrics. We previously described methods to determine the no‐observed‐genotoxic‐effect‐level (NOGEL), the breakpoint‐dose (BPD; previously named Td), and the benchmark dose (BMD<sub>10</sub>) for genetic toxicity endpoints. In this study we employed those methods, along with a new approach, to determine the non‐linear slope‐transition‐dose (STD), and alternative methods to determine the BPD and BMD, for the analyses of nine ENU and 22 MNU datasets across a range of <italic>in vitro</italic> and <italic>in vivo</italic> endpoints. The NOGEL, BMDL<sub>10</sub> and BMDL<sub>1SD</sub> PoD metrics could be readily calculated for most gene mutation and chromosomal damage studies; however, BPDs and STDs could not always be derived due to data limitations and constraints of the underlying statistical methods. The BMDL<sub>10</sub> values were often lower than the other PoDs, and the distribution of BMDL<sub>10</sub> values produced the lowest median PoD. Our observations indicate that, among the methods investigated in this study, the BMD approach is the preferred PoD for quantitatively describing genetic toxicology data. Once genetic toxicology PoDs are calculated via this approach, they can be used to derive reference doses and margin of exposure values that may be useful for evaluating human risk and regulatory decision making. Environ. Mol. Mutagen. 55:609–623, 2014. © 2014 Wiley Periodicals, Inc.</p> </abstract> … (more)
- Is Part Of:
- Environmental and molecular mutagenesis. Volume 55:Number 8(2014:Oct.)
- Journal:
- Environmental and molecular mutagenesis
- Issue:
- Volume 55:Number 8(2014:Oct.)
- Issue Display:
- Volume 55, Issue 8 (2014)
- Year:
- 2014
- Volume:
- 55
- Issue:
- 8
- Issue Sort Value:
- 2014-0055-0008-0000
- Page Start:
- 609
- Page End:
- 623
- Publication Date:
- 2014-05-06
- Subjects:
- Mutagenesis -- Periodicals
Molecular genetics -- Periodicals
Mutagenèse -- Périodiques
Mutagenèse chimique -- Périodiques
Mutation -- Périodiques
Maladies de l'environnement -- Périodiques
Génétique moléculaire -- Périodiques
576.542 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/em.21870 ↗
- Languages:
- English
- ISSNs:
- 0893-6692
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.383100
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3878.xml