PubMed Health⌕ Search

PubMed · 17000577

Exposure to multiple environmental agents and their effect.

Abstract

INTRODUCTION: All children are exposed to multiple physical, chemical and biological challenges that can result in adverse health effects before and after birth. In this context, the danger of multiple exposures cannot be assessed from a single-chemical approach as used in classical toxicology. AIM: To open up a 'negotiation space' for the problem of multiple exposure to environmental stressors, defined as any physical, chemical or biological entity that can induce an adverse response. In this context, two further questions obtain: to what extent can synergistic risks be assessed, and how far could potential adverse effects be prevented by enhanced regulation? METHODS: A discussion of two general approaches is taken: 1) the investigation of mixtures such as smoking or air pollution without specifying the individual agents, and 2) the investigation of individual substances with a focus on possible interactions in the context of dose to receptor. RESULTS: Although mixtures of compounds can have effects, it may not be possible to ascribe causation to a single compound. Furthermore, cumulative low-dose insult can, in some circumstances, be more toxic than a single high-dose exposure, e.g. endocrine disruptive effects of a combination of PCBs and dioxins which disrupt the thyroid hormone status; this tends to contradict elements of classical toxicology, . These cumulative insults may further combine with heavy metals and can disrupt the heme synthesis. It is possible that groups of pollutants could be used to test their cumulative capacity to multiple stress-susceptible receptor targets as is done in smoking and air pollution. This methodology could be used for further groups of potential pollutants, for example those associated with cleaning products, or cosmetics. Testing individual substances with a focus on interactions means that not only chemicals but also concurrent diseases should be taken into account. We suggest that the enhanced regulation of potential multiple stressors falls into two discrete categories. The first comprises a more precautionary approach (as demonstrated by the banning of chemicals such as some brominated flame retardants in Europe). The second comprises a more 'permissive' liberal approach involving the initial study of an individual compound, and subsequent interrogation of that compound in combination with another (as demonstrated by lowering the carcinogenicity of aflatoxin by vaccination against hepatitis B). CONCLUSIONS: It is necessary to define and study groups of multiple stressors as in US EPA's Framework for Cumulative Risk Assessment (U.S. EPA 2003). Recent increased knowledge of the greater sensitivity of the unborn baby, the infant and the child, has led to general recognition that a higher degree of precaution is now needed in regulating for multiple stressors on the young. The more liberal permissive approach proceeding from established effects of the individual exposures is becoming less acceptable now that we know that there is much we do not understand about chronic effects of stressors during the early development phases. Conflicts over which approach to take may have to be resolved through engagement and negotiation with a wide community of stakeholders. This "community of interest" may include fundamental research scientists, practicing clinical paediatricians, patient groups, and others concerned with the health and wellbeing of infants and children.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Janna G Koppe, Alena Bartonova, Gabriele Bolte, Marie Louise Bistrup, Chris Busby, Maureen Butter, Paul Dorfman, Aleksandra Fucic, David Gee, Peter van den Hazel, Vyvyan Howard, Martina Kohlhuber, Marike Leijs, Christofer Lundqvist, Hanns Moshammer, Rima Naginiene, Polyxeni Nicolopoulou-Stamati, Roberto Ronchetti, Georges Salines, Greet Schoeters, Gavin ten Tusscher, Max K Wallis, Moniek Zuurbier. 2006. Exposure to multiple environmental agents and their effect.. https://doi.org/10.1080/08035320600886646

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

An integrated multiscale air quality modelling framework for industrial park pollution: Linking local emissions to regional transport.

Capturing the spatiotemporal distribution of pollutants in industrial parks remains challenging for regional air quality models because of their coarse resolution (3 km), resulting in uncertainties in local emission quantification. To address this, we developed the Integrated Multiscale Air Quality Modelling System for Industry (IAQMS-Industry), coupling the regional Nested Air Quality Prediction Modelling System (NAQPMS) with a city-scale chemical transport model. This framework integrates point-source locations and Gaussian plume dispersion to simulate particulate matter with a diameter smaller than 2.5 micrometres (PM2.5) at 100 m resolution. Applied to the Beijing Yi Zhuang and Tangshan industrial parks and evaluated against observations. The coupled model achieved a normalized mean bias (NMB) ranging from 3.1 % to 6.2 %, improving upon NAQPMS (-16.9 % to -7.7 %). Spatial analysis revealed that coarse regional grids underestimated the PM2.5​ concentrations at industrial sites by smoothing gradients, whereas IAQMS-Industry successfully resolved spatial patterns. Industrial point emissions accounted for 22.9 %-26.4 % of PM2.5 in the coupled model, which was significantly greater than the regional model estimates of 1.6 %-13.7 %. These findings indicate that regional models overestimate pollutant dispersion processes in industrial parks while underestimating local industrial impacts. By explicitly resolving point-source dynamics and linking them to regional transport, IAQMS-Industry provides a robust tool for designing targeted emission controls in industrial cities and balancing local air quality improvements with minimized regional pollution outflow. This study underscores the necessity of multiscale modelling for accurate source apportionment and informed environmental governance in industrial zones.

Air Pollution↗

The interpretation of exposure effect estimates in chronic air pollution studies.

In this article we consider the interpretation of regression parameters used to represent 'chronic' or 'long-term' air pollution exposure effects. Although scientific interest typically lies in understanding such effects at the level of the individual, studies have generally employed a semi-ecological design; outcomes and confounder information are collected on individuals while exposure is only available at the aggregate-or group-level. A precise interpretation of results from a semi-ecological design must take into account the aggregated nature, both spatial and temporal, of the exposure measure. The most common analysis approach for assessing chronic exposure effects has been within the Cox proportional hazards model framework; specific analyses are tailored to accommodate the shortcomings of the available exposure information. We revisit the underlying assumptions of the Cox model and discuss the implications of two common aspects of chronic effects studies: time-dependent exposures and time-varying effects. Focusing on the consequences of temporal aggregation of exposure, we show that an estimate obtained from a time-aggregated semi-ecological design can correspond to very different underlying time-varying exposure and risk scenarios. Further, distinguishing which of these is correct is not possible from the semi-ecological data alone. Our goal is to highlight some statistical issues faced by existing studies of chronic air pollution effects, and aid in the development and planning of future studies.

Air Pollution↗

High-temperature biotrickling filtration of hydrogen sulphide.

Biofiltration of malodorous reduced sulphur compounds such as hydrogen sulphide has been confined to emissions that are at temperatures below 40 degrees C despite the fact that there are many industrial emissions (e.g. in the pulp and paper industry) at temperatures well above 40 degrees C. This paper describes our study on the successful treatment of hydrogen sulphide gas at temperatures of 40, 50, 60 and 70 degrees C using a microbial community obtained from a hot spring. Three biotrickling filter (BTF) systems were set up in parallel for a continuous run of 9 months to operate at three different temperatures, one of which was always at 40 degrees C as a mesophilic control and the other two were for exploring high-temperature operation up to 70 degrees C. The continuous experiment and a series of batch experiments in glass bottles (250 ml) showed that addition of glucose and monosodium glutamate enhanced thermophilic biofiltration of hydrogen sulphide gas and a removal rate of 40 g m(-3) h(-1) was achieved at 70 degrees C. We suggest that the glucose is acting as a carbon source for the existing microbial community in the BTFs, whereas glutamate is acting as a compatible solute. The use of such organic compounds to enhance biodegradation of hydrogen sulphide, particularly at high temperatures, has not been demonstrated to our knowledge and, hence, has opened up a range of possibilities for applying biofiltration to hot gas effluent.

Air Pollution↗