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Conolly RB, Campbell JL, Clewell HJ, Schroeter J, Kimbell JS, Gentry PR. Relative contributions of endogenous and exogenous formaldehyde to formation of deoxyguanosine monoadducts and DNA-protein crosslink adducts of DNA in rat nasal mucosa. Toxicol Sci 2022; 191:15-24. [PMID: 36409013 PMCID: PMC9887723 DOI: 10.1093/toxsci/kfac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Understanding the dose-response for formaldehyde-induced nasal cancer in rats is complicated by (1) the uneven distribution of inhaled formaldehyde across the interior surface of the nasal cavity and, (2) the presence of endogenous formaldehyde (endoF) in the nasal mucosa. In this work, we used computational fluid dynamics (CFD) modeling to predict flux of inhaled (exogenous) formaldehyde (exogF) from air into tissue at the specific locations where DNA adducts were measured. Experimental work has identified DNA-protein crosslink (DPX) adducts due to exogF and deoxyguanosine (DG) adducts due to both exogF and endoF. These adducts can be considered biomarkers of exposure for effects of endoF and exogF on DNA that may be part of the mechanism of tumor formation. We describe a computational model linking CFD-predicted flux of formaldehyde from air into tissue, and the intracellular production of endoF, with the formation of DPX and DG adducts. We assumed that, like exogF, endoF can produce DPX. The model accurately reproduces exogDPX, exogDG, and endoDG data after inhalation from 0.7 to 15 ppm. The dose-dependent concentrations of exogDPX and exogDG are predicted to exceed the concentrations of their endogenous counterparts at about 2 and 6 ppm exogF, respectively. At all concentrations examined, the concentrations of endoDPX and exogDPX were predicted to be at least 10-fold higher than that of their DG counterparts. The modeled dose-dependent concentrations of these adducts are suitable to be used together with data on the dose-dependence of cell proliferation to conduct quantitative modeling of formaldehyde-induced rat nasal carcinogenicity.
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Affiliation(s)
- Rory B Conolly
- To whom correspondence should be addressed at Ramboll US Consulting, Inc., 3107 Armand Street, Monroe, LA 71201, USA. E-mail:
| | | | | | - Jeffry Schroeter
- Applied Research Associates, Inc., Raleigh, North Carolina 27615, USA
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2
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Campbell JL, Gentry PR, Clewell Iii HJ, Andersen ME. A Kinetic Analysis of DNA-Deoxy Guanine Adducts in the Nasal Epithelium Produced by Inhaled Formaldehyde in Rats-Assessing Contributions to Adduct Production From Both Endogenous and Exogenous Sources of Formaldehyde. Toxicol Sci 2021; 177:325-333. [PMID: 32735340 PMCID: PMC7548285 DOI: 10.1093/toxsci/kfaa122] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
Although formaldehyde is a normal constituent of tissues, lifetime inhalation exposures at 6 h/day, 5 days/week at concentrations ≥6 ppm caused a nonlinear increase in nasal tumors in rats with incidence reaching close to 50% at 15 ppm. Studies with heavy isotope labeled [13CD2]-formaldehyde permit quantification of both the mass-labeled exogenous and endogenous DNA-formaldehyde reaction products. An existing pharmacokinetic model developed initially to describe 14C-DNA-protein crosslinks (DPX) provided a template for describing the time course of mass-labeled adducts. Published datasets included both DPX and N2-HO13CD2-dG adducts measured after a single 6-h exposure to 0.7, 2, 6, 9, 10, or 15 ppm formaldehyde, after multi-day exposures to 2 ppm for 6 h/day, 7 days/week with interim sacrifices up to 28 days, and after 28-day exposures for 6 h/day, 7 days/week to 0.3, 0.03, or 0.001 ppm. The existing kinetic model overpredicted endogenous adducts in the nasal epithelium after 1-day [13CD2]-formaldehyde exposure, requiring adjustment of parameters for rates of tissue metabolism and background formaldehyde. After refining tissue formaldehyde parameters, we fit the model to both forms of adducts by varying key parameters and optimizing against all 3 studies. Fitting to all these studies required 2 nonlinear pathways—one for high-exposure saturation of clearance in the nasal epithelial tissues and another for extracellular clearance that restricts uptake into the epithelial tissue for inhaled concentrations below 0.7 ppm. This refined pharmacokinetic model for endogenous and exogenous formaldehyde acetal adducts can assist in updating biologically based dose-response models for formaldehyde carcinogenicity.
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Affiliation(s)
- Jerry L Campbell
- Department of Health and Safety, Ramboll US Corporation, Raleigh, North Carolina 27612
| | - P Robinan Gentry
- Department of Health and Safety, Ramboll US Corporation, Monroe, Louisiana 71201
| | - Harvey J Clewell Iii
- Department of Health and Safety, Ramboll US Corporation, Raleigh, North Carolina 27612
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3
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Kwon SC, Kim I, Song J, Park J. Does formaldehyde have a causal association with nasopharyngeal cancer and leukaemia? Ann Occup Environ Med 2018; 30:5. [PMID: 29423228 PMCID: PMC5791191 DOI: 10.1186/s40557-018-0218-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 01/17/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The South Korean criteria for occupational diseases were amended in July 2013. These criteria included formaldehyde as a newly defined occupational carcinogen, based on cases of "leukemia or nasopharyngeal cancer caused by formaldehyde exposure". This inclusion was based on the Internal Agency for Research on Cancer classification, which classified formaldehyde as definite human carcinogen for nasopharyngeal cancer in 2004 and leukemia in 2012. METHODS We reviewed reports regarding the causal relationship between occupational exposure to formaldehyde in Korea and the development of these cancers, in order to determine whether these cases were work-related. RESULTS Previous reports regarding excess mortality from nasopharyngeal cancer caused by formaldehyde exposure seemed to be influenced by excess mortality from a single plant. The recent meta-risk for nasopharyngeal cancer was significantly increased in case-control studies, but was null for cohort studies (excluding unexplained clusters of nasopharyngeal cancers). A recent analysis of the largest industrial cohort revealed elevated risks of both leukemia and Hodgkin lymphoma at the peak formaldehyde exposure, and both cancers exhibited significant dose-response relationships. A nested case-control study of embalmers revealed that mortality from myeloid leukemia increased significantly with increasing numbers of embalms and with increasing formaldehyde exposure. The recent meta-risks for all leukemia and myeloid leukemia increased significantly. In South Korea, a few cases were considered occupational cancers as a result of mixed exposures to various chemicals (e.g., benzene), although no cases were compensated for formaldehyde exposure. The peak formaldehyde exposure levels in Korea were 2.70-14.8 ppm in a small number of specialized studies, which considered anatomy students, endoscopy employees who handled biopsy specimens, and manufacturing workers who were exposed to high temperatures. CONCLUSION Additional evidence is needed to confirm the relationship between formaldehyde exposure and nasopharyngeal cancer. All lymphohematopoietic malignancies, including leukemia, should be considered in cases with occupational formaldehyde exposure.
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Affiliation(s)
- Soon-Chan Kwon
- Department of Occupational and Environmental Medicine, College of Medicine Soonchunhyang University, Cheonan, Republic of Korea
| | - Inah Kim
- Department of Occupational and Environmental Medicine, College of Medicine, Hanyang University, 222 wangshimni-ro, Seoul, 04763 Republic of Korea
| | - Jaechul Song
- Department of Occupational and Environmental Medicine, College of Medicine, Hanyang University, 222 wangshimni-ro, Seoul, 04763 Republic of Korea
| | - Jungsun Park
- Department of Occupational Health, Catholic University of Daegu, Daegu, Republic of Korea
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4
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Corley RA, Kabilan S, Kuprat AP, Carson JP, Jacob RE, Minard KR, Teeguarden JG, Timchalk C, Pipavath S, Glenny R, Einstein DR. Comparative Risks of Aldehyde Constituents in Cigarette Smoke Using Transient Computational Fluid Dynamics/Physiologically Based Pharmacokinetic Models of the Rat and Human Respiratory Tracts. Toxicol Sci 2015; 146:65-88. [PMID: 25858911 PMCID: PMC4476461 DOI: 10.1093/toxsci/kfv071] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Computational fluid dynamics (CFD) modeling is well suited for addressing species-specific anatomy and physiology in calculating respiratory tissue exposures to inhaled materials. In this study, we overcame prior CFD model limitations to demonstrate the importance of realistic, transient breathing patterns for predicting site-specific tissue dose. Specifically, extended airway CFD models of the rat and human were coupled with airway region-specific physiologically based pharmacokinetic (PBPK) tissue models to describe the kinetics of 3 reactive constituents of cigarette smoke: acrolein, acetaldehyde and formaldehyde. Simulations of aldehyde no-observed-adverse-effect levels for nasal toxicity in the rat were conducted until breath-by-breath tissue concentration profiles reached steady state. Human oral breathing simulations were conducted using representative aldehyde yields from cigarette smoke, measured puff ventilation profiles and numbers of cigarettes smoked per day. As with prior steady-state CFD/PBPK simulations, the anterior respiratory nasal epithelial tissues received the greatest initial uptake rates for each aldehyde in the rat. However, integrated time- and tissue depth-dependent area under the curve (AUC) concentrations were typically greater in the anterior dorsal olfactory epithelium using the more realistic transient breathing profiles. For human simulations, oral and laryngeal tissues received the highest local tissue dose with greater penetration to pulmonary tissues than predicted in the rat. Based upon lifetime average daily dose comparisons of tissue hot-spot AUCs (top 2.5% of surface area-normalized AUCs in each region) and numbers of cigarettes smoked/day, the order of concern for human exposures was acrolein > formaldehyde > acetaldehyde even though acetaldehyde yields were 10-fold greater than formaldehyde and acrolein.
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Affiliation(s)
- Richard A Corley
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Senthil Kabilan
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Andrew P Kuprat
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - James P Carson
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Richard E Jacob
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Kevin R Minard
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Justin G Teeguarden
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Charles Timchalk
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Sudhakar Pipavath
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Robb Glenny
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
| | - Daniel R Einstein
- *Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352; Texas Advanced Computing Center, University of Texas, Austin, Texas 78758; Radiology, University of Washington, Seattle, Washington 98195; and Division of Pulmonary and Critical Care Medicine, University of Washington, Seattle, Washington 98195
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5
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Sensory Irritation Response in Rats II: Recovery and Dose-Dependence. Bull Math Biol 2012; 74:1673-90. [DOI: 10.1007/s11538-012-9730-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2011] [Accepted: 04/13/2012] [Indexed: 11/25/2022]
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6
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Klein MD, Sinha BK, Subramaniam RP. Statistical inferences from formaldehyde DNA-protein cross-link data: improving methods for characterization of uncertainty. J Biopharm Stat 2011; 21:42-55. [PMID: 21191853 DOI: 10.1080/10543400903531601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Physiologically based pharmacokinetic (PBPK) modeling has reached considerable sophistication in its application to pharmacological and environmental health problems. Yet, mature methodologies for making statistical inferences have not been routinely incorporated in these applications except in a few data-rich cases. This paper demonstrates how improved statistical inference on estimated model parameters from both frequentist and Bayesian points of view can be routinely carried out. We work with a previously developed PBPK model for the formation and disposition of DNA-protein cross-links formed by inhaled formaldehyde in the nasal lining of rats and rhesus monkeys. We purposefully choose this model because it is based on sparse time-course data.
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Affiliation(s)
- Martin D Klein
- Center for Statistical Research and Methodology, US Census Bureau, Washington, DC 20233, USA.
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7
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Subramaniam RP, Chen C, Crump KS, Devoney D, Fox JF, Portier CJ, Schlosser PM, Thompson CM, White P. Uncertainties in biologically-based modeling of formaldehyde-induced respiratory cancer risk: identification of key issues. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2008; 28:907-23. [PMID: 18564991 PMCID: PMC2719764 DOI: 10.1111/j.1539-6924.2008.01083.x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
In a series of articles and a health-risk assessment report, scientists at the CIIT Hamner Institutes developed a model (CIIT model) for estimating respiratory cancer risk due to inhaled formaldehyde within a conceptual framework incorporating extensive mechanistic information and advanced computational methods at the toxicokinetic and toxicodynamic levels. Several regulatory bodies have utilized predictions from this model; on the other hand, upon detailed evaluation the California EPA has decided against doing so. In this article, we study the CIIT model to identify key biological and statistical uncertainties that need careful evaluation if such two-stage clonal expansion models are to be used for extrapolation of cancer risk from animal bioassays to human exposure. Broadly, these issues pertain to the use and interpretation of experimental labeling index and tumor data, the evaluation and biological interpretation of estimated parameters, and uncertainties in model specification, in particular that of initiated cells. We also identify key uncertainties in the scale-up of the CIIT model to humans, focusing on assumptions underlying model parameters for cell replication rates and formaldehyde-induced mutation. We discuss uncertainties in identifying parameter values in the model used to estimate and extrapolate DNA protein cross-link levels. The authors of the CIIT modeling endeavor characterized their human risk estimates as "conservative in the face of modeling uncertainties." The uncertainties discussed in this article indicate that such a claim is premature.
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Affiliation(s)
- Ravi P Subramaniam
- NCEA, ORD, U.S. Environmental Protection Agency, Pennsylvania Ave. NW, Washington, DC 20460, USA.
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8
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Firestone M, Sonawane B, Barone S, Salmon AG, Brown JP, Hattis D, Woodruff T. Potential new approaches for children's inhalation risk assessment. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2008; 71:208-217. [PMID: 18097946 DOI: 10.1080/15287390701597905] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The U.S. Environmental Protection Agency (EPA) practice of risk assessment is moving toward more thoroughly considering children's unique susceptibilities and exposure potential. Childhood is assessed as a sequence of life stages that reflects the fact that as humans develop, windows of susceptibility may appear that lead to enhanced sensitivity to exposure of environmental agents, while changes in behavior and physiology may increase exposure and dose. The U.S. EPA developed guidance in the past few years that addresses some aspects of increased susceptibility and exposure and dose. However, when it comes to considering inhalation exposure, dose, and risk, current U.S. EPA practice does not explicitly address children. The purpose here is to begin studying the adequacy of practice for children's health and to explore possible next steps in developing new methods to more accurately assess life-stage-specific differences. The existing guidelines and policies used to address potentially unique susceptibilities of children for inhaled environmental chemicals were considered, as well as what may be learned from examples of approaches that have been applied by state agencies (such as the California Environmental Protection Agency) or in the literature, to incorporate potentially unique susceptibilities and exposures to children. Finally, there is a discussion of possible approaches for considering inhalation exposure and susceptibility in U.S. EPA risk assessments.
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Affiliation(s)
- Michael Firestone
- Office of Children's Health Protection and Environmental Education, U.S. Environmental Protection Agency, Washington, DC 20460, USA.
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9
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Yokley KA, Tran H, Schlosser PM. Sensory irritation response in rats: modeling, analysis and validation. Bull Math Biol 2007; 70:555-88. [PMID: 17914657 DOI: 10.1007/s11538-007-9268-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2006] [Accepted: 08/03/2007] [Indexed: 11/24/2022]
Abstract
Inhaled gases can cause respiratory depression by irritating (stimulating) nerves in the nasal cavity. Respiratory depression, in turn, decreases the rate of delivery of those gases to the stimulated nerves, potentially leading to a complex feedback response. In order to better understand how the nervous system responds to such chemicals, a mathematical model is created to describe how the presence of irritants affects respiration in the rat. The ordinary differential equation model describes the dosimetry of these reactive gases in the respiratory tract, with particular focus on the physiology of the upper respiratory tract, and on the neurological control of respiration rate due to signaling from the irritant-responsive nerves in the nasal cavity. The ventilation equation is altered to account for an apparent change in dynamics between the initial ventilation decrease and the recovery to steady state as seen in formaldehyde exposure data. Further, the model is evaluated and improved through optimization of particular parameters to describe formaldehyde-induced respiratory response data and through sensitivity analysis. The model predicts the formaldehyde data well, and hence the model is thought to be a reasonable description of the physiological system of sensory irritation. The model is also expected to translate well to other irritants.
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Affiliation(s)
- Karen A Yokley
- Center for Research in Scientific Computation and Department of Mathematics, North Carolina State University, Raleigh, NC, USA.
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10
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Golden R, Pyatt D, Shields PG. Formaldehyde as a potential human leukemogen: an assessment of biological plausibility. Crit Rev Toxicol 2006; 36:135-53. [PMID: 16736940 DOI: 10.1080/10408440500533208] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The International Agency for Research on Cancer (IARC, 2004) recently reevaluated the epidemiological data on formaldehyde and concluded that there was "strong but not sufficient evidence for a causal association between leukaemia and occupational exposure to formaldehyde." This conclusion was tempered since a mechanism for leukemia induction could not be identified. Chemically induced leukemia is a well-studied phenomenon with benzene and a number of cancer chemotherapeutic drugs recognized as capable of causing this effect. Abundant in vitro and in vivo data in animals and humans demonstrate that exposure to sufficient doses of these recognized leukemogens can initiate a cascade of events leading to hematopoietic toxicity and the subsequent development of leukemia. This review addresses the biological plausibility that formaldehyde might be capable of causing any type of leukemia by providing a broad overview of the scientific data that must be considered in order to support or refute a conclusion that a particular substance might be leukemogenic. Data on benzene and selected chemotherapeutic cancer drugs are used as examples and are briefly summarized to demonstrate the similar biological events thought to result in leukemogenesis. These data are compared and contrasted with the available data on formaldehyde in order to judge whether they fulfill the criteria of biological plausibility that formaldehyde would be capable of inducing leukemia as suggested by the epidemiological data. Based on the epidemiological data, it is reasonable to expect that if formaldehyde was capable of inducing leukemia, in vivo and in vitro data would offer supporting evidence for biological plausibility. In particular, there is (1) no evidence to suggest that formaldehyde reaches any target organ beyond the site of administration including the bone marrow, (2) no indication that formaldehyde is toxic to the bone marrow/hematopoietic system in in vivo or in vitro studies, and (3) no credible evidence that formaldehyde induces leukemia in experimental animals. As discussed in this review, based on the key biological events that occur in the process of chemically induced leukemia, there is inadequate biological evidence currently available to corroborate existing weak epidemiological associations. This provides an insufficient database to conclude that there is a causal relationship for formaldehyde and leukemia risk.
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11
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Franks SJ. A mathematical model for the absorption and metabolism of formaldehyde vapour by humans. Toxicol Appl Pharmacol 2005; 206:309-20. [PMID: 16039942 DOI: 10.1016/j.taap.2004.11.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2004] [Revised: 11/05/2004] [Accepted: 11/11/2004] [Indexed: 10/25/2022]
Abstract
Epidemiological studies of occupational exposure to formaldehyde gas (HCHO) have suggested possible links between concentration and duration of exposure, and elevated risks of leukaemia and other cancers at sites distant from the site of contact. Formaldehyde is a highly water soluble gas which, when inhaled, reacts rapidly at the site of contact and is quickly metabolised by enzymes in the respiratory tissue. Inhaled formaldehyde is almost entirely absorbed in the respiratory tract and, for formaldehyde induced toxicity to occur at distant sites, HCHO must enter the blood and be transported to systemic tissues via the circulatory system. A mathematical model describing the absorption and removal of inhaled formaldehyde in the nasal tissue is therefore formulated to predict the proportion of formaldehyde entering into the blood. Accounting for the spatial distribution of the formaldehyde concentration and the metabolic activity within the mucosa, the concentration of formaldehyde in the mucus, the epithelium and the blood has been determined and was found to attain a steady-state profile within a few seconds of exposure. The increase of the formaldehyde concentration in the blood was predicted to be insignificant compared with the existing pre-exposure levels in the body, indicating that formaldehyde is rapidly removed in the nasal tissue. The results of the model thus suggest that it is highly unlikely that following inhalation by the nose, formaldehyde itself will cause toxicity at sites other than the initial site of contact in the respiratory tract.
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Affiliation(s)
- S J Franks
- Health and Safety Laboratory, Harpur Hill, Buxton SK17 9JN, UK.
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12
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Yamaoka K, Takakura Y. Analysis Methods and Recent Advances in Nonlinear Pharmacokinetics from In Vitro through In Loci to In Vivo. Drug Metab Pharmacokinet 2004; 19:397-406. [PMID: 15681893 DOI: 10.2133/dmpk.19.397] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
An attempt has been made to review the nonlinearities in the disposition in vitro, in situ, in loci and in vivo mainly from a theoretical point of view. Parallel Michaelis-Menten and linear (first-order) eliminations are often observed in the cellular uptake, metabolism and efflux of drugs. The well-stirred and parallel-tube models are mainly adopted under steady-state conditions in perfusion experiments, whereas distribution, tank-in-series and dispersion models are often used under nonsteady-state conditions with a pulse input. The analysis of the nonlinear local disposition in loci is reviewed from two points of view, namely an indirect method involving physiologically based pharmacokinetics (PBPK) and a direct (two or three samplings) method using live animals. The nonlinear global pharmacokinetics in vivo is reviewed with regard to absorption, elimination (metabolism and excretion) and distribution.
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Affiliation(s)
- Kiyoshi Yamaoka
- Department of Biopharmaceutics and Drug Metabolism, School of Graduate Pharmaceutical Science, Kyoto University, Japan.
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