Tuesday, April 2, 2013

Deadly effects of certain kinds of household air pollution lead to call for biomarker studies

Apr. 1, 2013 ? Almost four million people die each year from household air pollution (HAP) caused by exposure to the combustion of biomass fuels (wood, charcoal, crop residues, and dung), kerosene, or coal. These individuals are among the tens of millions who rely on such products to cook their meals, heat their rooms, and light their homes. Those in lower and middle income countries are among the hardest hit by the effects of HAP exposure, which also causes childhood respiratory infection, chronic lung disease, and cardiovascular disease. Exposure to biomass fuel is associated with low birth weight, asthma, and tuberculosis.

Given these effects, the large populations at risk, and a growing global interest in lower-cost energy sources, researchers from three continents have published a comprehensive overview of the current approaches to HAP assessments, the aims of biomarker development, and the state of development of tests which have the potential for rapid transition from the lab bench to field use. Their findings are addressed in the article, "Household air pollution: a call for studies into biomarkers of exposure and predictors of respiratory disease," which is published online by the American Journal of Physiology-Lung Cellular and Molecular Physiology.

The effort is being led by William J. Martin II, MD, Associate Director for Disease Prevention and Health Promotion, Eunice Kennedy Shriver National Institute of Child Health and Human Development, the National Institutes of Health (NIH). The team also includes Jamie Rylance, BM BS BMedSci MRCPTM&H, and Stephen Gordon, MA MD FRCP DTM&H, Professor and Chair in Respiratory Medicine, both from the Liverpool School of Tropical Medicine, Liverpool, United Kingdom; Luke P. Naeher, PhD and Olorunfemi Adetona, PhD, both from the University of Georgia, College of Public Health, Department of Environmental Health Sciences, Athens, Ga.; Archana Patel, IMD, DNB, MSCEs, Professor and Head of the Department of Pediatrics, Indira Gandhi Government Medical College, Nagpur, India; John R. Balmes, MD, Professor of Medicine, Division of Occupational and Environmental Medicine, University of California, San Francisco School of Medicine, San Francisco, Ca.; and Derek K. Rogalsky, Georgetown University School of Medicine, Washington, D.C.

Current approaches to HAP assessment, challenges

The researchers found that current HAP assessment tools include direct quantitative measurement of products of incomplete combustion, as well as qualitative methods (including use of questionnaires or the categorization of HAP exposure by type). However, direct exposure assessments via personal monitoring are problematic due to the size, portability and recording capacity of equipment, and acceptability to the user.

Despite the new devices currently being field tested and scaled up for commercial use to address these concerns, specific particulate measurement alone cannot differentiate between the multiple sources of pollution such as mixtures of HAP, tobacco smoke, and outdoor pollution. "The grand challenge to the research community is to produce simple and validated tests that better identify populations that are at risk from HAP, and individual responses to exposure reduction strategies," according to Dr. Martin.

The researchers also found that current HAP exposure measurement methods are expensive, technically challenging, difficult to use with large population studies, and have substantial limitations, making an urgent case for the development of biomarkers of both exposure and health effects. These findings have led to their call for studies into biomarkers of exposure and predictors of respiratory disease.

Martin and his colleagues note that further development of biomarkers of susceptibility and effect could facilitate large scale studies examining the impact of HAP on health and disease in human populations. In the end, new biomarkers would: (a) improve epidemiological accuracy in association studies with health effect; (b) reduce the cost and complexity of monitoring intervention studies; (c) provide data for educating the public and policymakers about risk; and (d) inform clinicians and the public health community about human environmental exposures that are not well characterized.

Conclusion

China uses more coal than any other nation to meet the energy needs of its one billion citizens. In India, 55 percent of electrical power was generated by coal last year, and as austerity measures in Europe grow stronger, coal is becoming an attractive alternative to natural gas. But the more affordable option could also prove to be the more harmful, and potentially add to the illness and death tolls already linked to HAP exposure.

Martin and his colleagues have put together a comprehensive overview of the dangers posed by biomass fuels and the research gaps in assessing HAP threats. The article is a "must read" for anyone interested in public health.

Funding sources

The article was supported in part by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health (NIH).

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Story Source:

The above story is reprinted from materials provided by American Physiological Society (APS).

Note: Materials may be edited for content and length. For further information, please contact the source cited above.


Journal Reference:

  1. J. Rylance, S. B. Gordon, L. P. Naeher, A. Patel, J. R. Balmes, O. Adetona, D. K. Rogalsky, W. J. Martin. Household air pollution: a call for studies into biomarkers of exposure and predictors of respiratory disease. AJP: Lung Cellular and Molecular Physiology, 2013; DOI: 10.1152/ajplung.00416.2012

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Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

Source: http://feeds.sciencedaily.com/~r/sciencedaily/top_news/top_health/~3/FDpp4Rx-VMM/130401181321.htm

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