Unrecognized or potential risk factors for childhood cancer

Epidemiologic methods only seldom identify causes of childhood cancer associated with relative risks below a factor of 1 1/2-2. Children are at risk of exposure to over 15,000 high-production-volume chemicals and are certainly exposed to many carcinogens. The individual impacts of most of these agents are too small to be detected, but collectively these unrecognized factors are potentially important. Infants and children are exposed to higher levels of some environmental toxicants and may also be more sensitive. During intrauterine development and childhood, cells divide frequently, and the mutant frequency rises rapidly. Endocrine-related cancers or susceptibility to cancer may result from developmental exposures rather than from exposures existing at or near the time of diagnosis. That environmental exposures may be important causes of childhood cancers is indicated by associations of enzyme polymorphisms with risk

The human circulating miRNome reflects multiple organ disease risks in association with short-term exposure to traffic-related air pollution.

Traffic-related air pollution is a complex mixture of particulate matter (PM) and gaseous pollutants, such as nitrogen dioxide (NO2). PM exposure contributes to the pathogenesis of many diseases including several types of cancer, as well as pulmonary, cardiovascular and neurodegenerative diseases. Also exposure to NO2 has been related to increased cardiovascular mortality. In search of an early diagnostic biomarker for improved air pollution-associated health risk assessment, recent human studies have shown that certain circulating miRNAs are altered upon exposure to traffic-related air pollutants. Here, we present for the first time a global analysis of the circulating miRNA genome in an experimental cross-over study of a human population exposed to traffic-related air pollution. By utilizing next-generation sequencing technology and detailed real-time exposure measurements we identified 54 circulating miRNAs to be dose- and pollutant species-dependently associated with PM10, PM2.5, black carbon, ultrafine particles and NO2 already after 2 h of exposure. Bioinformatics analysis suggests that these circulating miRNAs actually reflect the adverse consequences of traffic pollution-induced toxicity in target tissues including the lung, heart, kidney and brain. This study shows the strong potential of circulating miRNAs as novel biomarkers for environmental health risk assessment