John Cocker

Biological monitoring of exposure to organophosphate pesticides

Organophosphates (OPs) are readily absorbed through the skin and biological monitoring is an essential component of any comprehensive assessment of exposure. This paper presents a summary of our experience in a wide range of occupational studies. Additionally, we have conducted studies of non-occupational exposure and human volunteer studies looking at the kinetics of chlorpyrifos, propetamphos, diazinon and malathion. In non-occupationally exposed people, 95% of urinary alkyl phosphates do not exceed 72 micromol/mol creatinine. In occupationally exposed people, the corresponding 95th percentile of total urinary alkyl phosphates is 122 micromol/mol creatinine. In volunteer studies with 1 mg oral doses of chlorpyifos, diazinon and propetamphos the mean peak values were 160, 750 and 404 micromol/mol creatinine, respectively, and were not associated with any reduction in blood cholinesterase activity. The levels of OP metabolites seen in urine from workers potentially exposed to OPs are generally low and unlikely to cause significant reduction in blood cholinesterase activity.

Exposure to the organophosphate diazinon: data from a human volunteer study with oral and dermal doses

Biological monitoring of occupational exposure to diazinon is possible by the determination of blood cholinesterase activity and by the measurement of metabolites in urine. However, there is little data to aid in the interpretation of results. This study gave oral (11 microg kg(-1) (36 nmol kg(-1)) body weight) and occluded dermal (100 mg (329 micromol)) doses of diazinon to five volunteers and analysed blood and urine samples for plasma and erythrocyte cholinesterase and urinary dialkyl phosphate (DAP) metabolites of diazinon: diethyl phosphate (DEP) and diethyl thiophosphate (DETP). Following oral and dermal exposure, peak urinary DAP levels occurred at 2 and 12 h, respectively. The apparent urinary elimination half-lives of DAP metabolites following oral and dermal exposure were approximately 2 and 9 h, respectively. Approximately 60% of the oral dose and 1% of the dermal dose was excreted as urinary DAP metabolites, with 90% of the dermal dose being recovered from the skin surface. On a group basis, there was no statistically significant mean depression in plasma or erythrocyte cholinesterase when compared with pre-exposure levels for either dosing experiment. The observed elimination kinetics of diazinon metabolites suggest a biological monitoring strategy for occupational exposure to diazinon based on urine samples collected at the end of shift.

Sources of Variability in Biomarker Concentrations

Human biomonitoring has become a primary tool for chemical exposure characterization in a wide variety of contexts: population monitoring and characterization at a national level, assessment and description of cohort exposures, and individual exposure assessments in the context of epidemiological research into potential adverse health effects of chemical exposures. The accurate use of biomonitoring as an exposure characterization tool requires understanding of factors, apart from external exposure level, that influence variation in biomarker concentrations. This review provides an overview of factors that might influence inter- and intraindividual variation in biomarker concentrations apart from external exposure magnitude. These factors include characteristics of the specific chemical of interest, characteristics of the likely route(s) and frequency of exposure, and physiological characteristics of the biomonitoring matrix (typically, blood or urine). Intraindividual variation in biomarker concentrations may be markedly affected by the relationship between the elimination half-life and the intervals between exposure events, as well as by variation in characteristics of the biomonitored media such as blood lipid content or urinary flow rate. Variation across individuals may occur due to differences in time of sampling relative to exposure events, physiological differences influencing urinary flow or creatinine excretion rates or blood characteristics, and interindividual differences in metabolic rate or other factors influencing the absorption or excretion rate of a compound. Awareness of these factors can assist researchers in improving the design and interpretation of biomonitoring studies.

Dermal exposure to aqueous solutions of N-methyl pyrrolidone

N-methyl pyrrolidone (NMP) is a substance widely used for its strong and selective solvent capacity. The strong potential NMP has for skin absorption makes biological monitoring ideal for exposure assessment. This study looked at brief exposures to NMP in aqueous solutions over a range of concentrations. Two volunteers placed one hand in NMP solutions ranging from 5 to 25% for as long as 15 min followed by urine collection for 48 h. The analyte of interest (analysed by GC-MS) was the NMP metabolite 5-hydroxy-N-methyl pyrrolidone (5-HNMP). Excretion of 5-HNMP was plotted against time and this showed that urine concentrations were at a maximum after about 10 h and 5-HNMP excretion continued for 48 h after exposure. The half-life of excretion was found to be approximately 11 h. The mean correlation between exposure (as a measure of exposure duration and solution concentration) and total 5-HNMP excreted was 0.9297.

Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation

There are numerous biomonitoring programs, both recent and ongoing, to evaluate environmental exposure of humans to chemicals. Due to the lack of exposure and kinetic data, the correlation of biomarker levels with exposure concentrations leads to difficulty in utilizing biomonitoring data for biological guidance values. Exposure reconstruction or reverse dosimetry is the retrospective interpretation of external exposure consistent with biomonitoring data. We investigated the integration of physiologically based pharmacokinetic modelling, global sensitivity analysis, Bayesian inference, and Markov chain Monte Carlo simulation to obtain a population estimate of inhalation exposure to m-xylene. We used exhaled breath and venous blood m-xylene and urinary 3-methylhippuric acid measurements from a controlled human volunteer study in order to evaluate the ability of our computational framework to predict known inhalation exposures. We also investigated the importance of model structure and dimensionality with respect to its ability to reconstruct exposure.

Oral and dermal exposure to propetamphos: a human volunteer study.

Propetamphos ((E)-O-2-isopropylcarbonyl-1-methylvinyl-O-methylethyl phosphoramidothioate) is an organophosphate pesticide (OP) and has been used as an active ingredient in sheep dip where there is the potential for significant dermal exposure during dipping. Biological monitoring of exposure to propetamphos has until recently relied on the measurement of cholinesterase activity in plasma. Following the development of a novel method for the determination of propetamphos metabolites in urine, it is now possible to biologically monitor exposure using urine samples. This paper describes a human volunteer study involving oral and dermal exposure to propetamphos.

Inter- and intra-individual variation in urinary biomarker concentrations over a 6-day sampling period. Part 1: Metals

The aim of the current HBM-study is to further the understanding of the impact of inter- and intra-individual variability in HBM surveys as it may have implications for the design and interpretation of the study outcomes. As spot samples only provide a snapshot in time of the concentrations of chemicals in an individual, it remains unclear to what extent intra-individual variability plays a role in the overall variability of population-wide HBM surveys. The current paper describes the results of an intensive biomonitoring study, in which all individual urine samples of 8 individuals were collected over a 6-day sampling period (a total of 352 unique samples). By analyzing different metals (As, Cd, Mn, Ni) in each individual sample, inter- and intra-individual variability for these four metals could be determined, and the relationships between exposure, internal dose, and sampling protocol assessed. Although the range of biomarker values for different metals was well within the normal range reported in large-scale population surveys, large intra-individual differences over a 6-day period could also be observed. Typically, measured biomarker values span at least an order of magnitude within an individual, and more if specific exposure episodes could be identified. Fish consumption for example caused a twenty- to thirty-fold increase in urinary As-levels over a period of 2-6h. Intra-class correlation coefficients (ICC) were typically low for uncorrected biomarker values (between 0.104 and 0.460 for the 4 metals), but improved when corrected for creatinine or specific gravity (SG). The results show that even though urine is a preferred matrix for HBM studies, there are certain methodological issues that need to be taken into account in the interpretation of urinary biomarker data, related to the intrinsic variability of the urination process itself, the relationship between exposure events and biomarker quantification, and the timing of sampling. When setting up HBM-projects, this expected relationship between individual exposure episode and urinary biomarker concentration needs to be taken into account.

Biological monitoring of pesticide exposures in residents living near agricultural land

BackgroundThere is currently a lack of reliable information on the exposures of residents and bystanders to pesticides in the UK. Previous research has shown that the methods currently used for assessing pesticide exposure for regulatory purposes are appropriate for farm workers [1]. However, there were indications that the exposures of bystanders may sometimes be underestimated. The previous study did not collect data for residents. Therefore, this study aims to collect measurements to determine if the current methods and tools are appropriate for assessing pesticide exposure for residents living near agricultural fields.Methods/designThe study will recruit owners of farms and orchards (hereafter both will be referred to as farms) that spray their agricultural crops with certain specified pesticides, and which have residential areas in close proximity to these fields. Recruited farms will be asked to provide details of their pesticide usage throughout the spray season. Informed consenting residents (adults (18 years and over) and children(aged 4-12 years)) will be asked to provide urine samples and accompanying activity diaries during the spraying season and in additionfor a limited number of weeks before/after the spray season to allow background pesticide metabolite levels to be determined. Selected urine samples will be analysed for the pesticide metabolites of interest. Statistical analysis and mathematical modelling will use the laboratory results, along with the additional data collected from the farmers and residents, to determine systemic exposure levels amongst residents. Surveys will be carried out in selected areas of the United Kingdom over two years (2011 and 2012), covering two spraying seasons and the time between the spraying seasons.DiscussionThe described study protocol was implemented for the sample and data collection procedures carried out in 2011. Based on experience to date, no major changes to the protocol are anticipated for the 2012 spray season although the pesticides and regional areas for inclusion in 2012 are still to be confirmed.

Variance components of short-term biomarkers of manganese exposure in an inception cohort of welding trainees

Various biomarkers of exposure have been explored as a way to quantitatively estimate an internal dose of manganese (Mn) exposure, but given the tight regulation of Mn in the body, inter-individual variability in baseline Mn levels, and variability in timing between exposure and uptake into various biological tissues, identification of a valuable and useful biomarker for Mn exposure has been elusive. Thus, a mixed model estimating variance components using restricted maximum likelihood was used to assess the within- and between-subject variance components in whole blood, plasma, and urine (MnB, MnP, and MnU, respectively) in a group of nine newly-exposed apprentice welders, on whom baseline and subsequent longitudinal samples were taken over a three month period. In MnB, the majority of variance was found to be between subjects (94%), while in MnP and MnU the majority of variance was found to be within subjects (79% and 99%, respectively), even when controlling for timing of sample. While blood seemed to exhibit a homeostatic control of Mn, plasma and urine, with the majority of the variance within subjects, did not. Results presented here demonstrate the importance of repeat measure or longitudinal study designs when assessing biomarkers of Mn, and the spurious associations that could result from cross-sectional analyses.

Framework for the development and application of environmental biological monitoring guidance values

Human biomonitoring (HBM) is widely recognised as a useful tool to aid assessment of exposure to chemical substances, but our ability to detect hazardous substances (or their metabolites and health effects) often exceeds our understanding of their biological relevance. There are only a few established frameworks for developing and using occupational and environmental biological guidance values (BGVs), mostly for data-rich substances that have been in use for some time. BGVs for new substances and those with unknown dose-response relationships are difficult to derive. An accepted framework based on current scientific knowledge and best practice is therefore urgently needed to help scientists, regulators, and stakeholders to design appropriate HBM studies, interpret HBM data (both for groups and individuals) understand the limitations and to take appropriate action when required. The development and application of such a tool is described here. We derived a conceptual framework that was refined by consultation with an advisory group and workshop. The resulting framework comprised four levels defined by increasing data, with increasing confidence for human health risk assessment. Available data were used for 12 chemicals with expert judgement to illustrate the utility of the framework.