The use of biomonitoring data in exposure and human health risk assessment: benzene case study.

Abstract A framework of "Common Criteria" (i.e. a series of questions) has been developed to inform the use and evaluation of biomonitoring data in the context of human exposure and risk assessment. The data-rich chemical benzene was selected for use in a case study to assess whether refinement of the Common Criteria framework was necessary, and to gain additional perspective on approaches for integrating biomonitoring data into a risk-based context. The available data for benzene satisfied most of the Common Criteria and allowed for a risk-based evaluation of the benzene biomonitoring data. In general, biomarker (blood benzene, urinary benzene and urinary S-phenylmercapturic acid) central tendency (i.e. mean, median and geometric mean) concentrations for non-smokers are at or below the predicted blood or urine concentrations that would correspond to exposure at the US Environmental Protection Agency reference concentration (30 µg/m(3)), but greater than blood or urine concentrations relating to the air concentration at the 1 × 10(-5) excess cancer risk (2.9 µg/m(3)). Smokers clearly have higher levels of benzene exposure, and biomarker levels of benzene for non-smokers are generally consistent with ambient air monitoring results. While some biomarkers of benzene are specific indicators of exposure, the interpretation of benzene biomonitoring levels in a health-risk context are complicated by issues associated with short half-lives and gaps in knowledge regarding the relationship between the biomarkers and subsequent toxic effects.

Refining aggregate exposure: example using parabens.

The need to understand and estimate quantitatively the aggregate exposure to ingredients used broadly in a variety of product types continues to grow. Currently aggregate exposure is most commonly estimated by using a very simplistic approach of adding or summing the exposures from all the individual product types in which the chemical is used. However, the more broadly the ingredient is used in related consumer products, the more likely this summation will result in an unrealistic estimate of exposure because individuals in the population vary in their patterns of product use including co-use and non-use. Furthermore the ingredient may not be used in all products of a given type. An approach is described for refining this aggregate exposure using data on (1) co-use and non-use patterns of product use, (2) extent of products in which the ingredient is used and (3) dermal penetration and metabolism. This approach and the relative refinement in the aggregate exposure from incorporating these data is illustrated using methyl, n-propyl, n-butyl and ethyl parabens, the most widely used preservative system in personal care and cosmetic products. When these refining factors were used, the aggregate exposure compared to the simple addition approach was reduced by 51%, 58%, 90% and 92% for methyl, n-propyl, n-butyl and ethyl parabens, respectively. Since biomonitoring integrates all sources and routes of exposure, the estimates using this approach were compared to available paraben biomonitoring data. Comparison to the 95th percentile of these data showed that these refined estimates were still conservative by factors of 2-92. All of our refined estimates of aggregate exposure are less than the ADI of 10mg/kg/day for parabens.

An evaluation of the genotoxicity of the antitussive drug Dextromethorphan.

Dextromethorphan (DMP) is an effective and widely used antitussive drug. While DMP has over a 50 year safe-marketing history, the only available genotoxicity data was an unpublished, negative Ames assay (Roche). Lack of a complete genotoxicity profile on DMP, specifically covering the chromosomal damage endpoint, prompted a regulatory request for an in vitro chromosome aberration assay. In accordance with EC and CPMP Guidance, we evaluated data for a number of chemicals with a structural relationship to DMP. DMP contains no structural alerts for genotoxicity or carcinogenicity using the Deductive Estimation of Risk from Existing Knowledge (DEREK) software tool, confirming the negative results obtained in the existing Ames assay. This is also consistent with the mostly negative genotoxicity and carcinogenicity data available on structurally related chemicals including morphine, codeine, nalbuphine, buprenorphine, naloxone, hydromorphone, levorphanol, and oxycodone. A state-of-the-science, in vitro chromosome aberration assay was also conducted, which demonstrated a lack of genotoxicity for DMP. The overall weight of evidence for DMP and its structural analogues, supports the conclusion that this class of phenanthrene-based chemicals, and DMP, in particular, are not genotoxic in vitro or in vivo, and do not represent a carcinogenic risk to patients.

Making sense of human biomonitoring data: findings and recommendations of a workshop.

The ability to measure chemicals in humans (often termed biomonitoring) is far outpacing the ability to interpret reliably these data for public health purposes, creating a major knowledge gap. Until this gap is filled, the great promise of routinely using biomonitoring data to support decisions to protect public health cannot be realized. Research is needed to link biomonitoring data quantitatively to the potential for adverse health risks, either through association with health outcomes or using information on the concentration and duration of exposure, which can then be linked to health guidelines. Developing such linkages in the risk assessment paradigm is one of the primary goals of the International Council of Chemical Associations' (ICCA) Long-Range Research Initiative (LRI) program in the area of biomonitoring. Therefore, ICCA sponsored a workshop to facilitate development of a coordinated agenda for research to enable an improved interpretation of human biomonitoring data. Discussions addressed three main topics: (1) exploration of the link between exposure, dose, and human biomonitoring data, (2) the use of computational tools to interpret biomonitoring data, and (3) the relevance of human biomonitoring data to the design of toxicological studies. Several overarching themes emerged from the workshop: (a) Interpretation and use of biomonitoring data should involve collaboration across all sectors (i.e., industry, government, and academia) and countries. (b) Biomonitoring is not a stand-alone tool, and it should be linked to exposure and toxicological dose information. (c) Effective communication is critical, because when uncertainty about the actual risks is high, the perceived risks grow in the absence of communication. (d) The scope of future biomonitoring activities encompasses a variety of research approaches - from advancing the science to fill data gaps to advancing the accessibility of the current knowledge to enable better information sharing.

Use of biomonitoring data to evaluate methyl eugenol exposure.

Methyl eugenol is a naturally occurring material found in a variety of food sources, including spices, oils, and nutritionally important foods such as bananas and oranges. Given its natural occurrence, a broad cross-section of the population is likely exposed. The availability of biomonitoring and toxicology data offers an opportunity to examine how biomonitoring data can be integrated into risk assessment. Methyl eugenol has been used as a biomarker of exposure. An analytical method to detect methyl eugenol in human blood samples is well characterized but not readily available. Human studies indicate that methyl eugenol is short-lived in the body, and despite the high potential for exposure through the diet and environment, human blood levels are relatively low. The toxicology studies in animals demonstrate that relatively high-bolus doses administered orally result in hepatic neoplasms. However, an understanding is lacking regarding how this effect relates to the exposures that result when food containing methyl eugenol is consumed. Overall, the level of methyl eugenol detected in biomonitoring studies indicates that human exposure is several orders of magnitude lower than the lowest dose used in the bioassay. Furthermore, there are no known health effects in humans that result from typical dietary exposure to methyl eugenol.

Strategic biomonitoring initiatives: moving the science forward.

Biomonitoring programs in the United States and Europe demonstrate the vast array of data that are publicly available for the evaluation of exposure trends, identification of susceptible populations, detection of emerging chemical risks, the conduct of epidemiology studies, and evaluation of risk reduction strategies. To cultivate international discussion on these issues, the ILSI Health and Environmental Sciences Institute convened a scientific session at its annual meeting in January 2006 on "Integration of Biomonitoring Exposure Data into the Risk Assessment Process." This Forum paper presents perspectives from session speakers on the biomonitoring activities of the Centers for Disease Control and Prevention, the U.S. Environmental Protection Agency, the National Research Council Committee on Human Biomonitoring for Environmental Toxicants, the German Commission on Human Biomonitoring, and the Health and Environmental Sciences Institute Biomonitoring Technical Committee. Speakers noted that better estimates of biological concentrations of substances in the tissues of human populations can be combined with other exposure indices, as well as epidemiological and toxicologic data, to improve risk estimates. With this type of combined data, the potential also exists to define exposure levels at which hazard and risk are of minimal concern. Limitations in interpreting biomonitoring data were discussed, including the need for different criteria for applying biomonitoring data for exposure assessment, risk assessment, risk management, or disease prevention purposes. As efforts and resources are expended to improve the ability to apply biomonitoring exposure data in the risk assessment process, it is equally important to communicate the significance of such data to the public.