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- Beelen, Rob, et al.
(författare)
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Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe : the ESCAPE project
- 2013
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Ingår i: Atmospheric Environment. - : Elsevier. - 1352-2310 .- 1873-2844. ; 72, s. 10-23
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Tidskriftsartikel (refereegranskat)abstract
- Estimating within-city variability in air pollution concentrations is important. Land use regression (LUR) models are able to explain such small-scale within-city variations. Transparency in LUR model development methods is important to facilitate comparison of methods between different studies. We therefore developed LUR models in a standardized way in 36 study areas in Europe for the ESCAPE (European Study of Cohorts for Air Pollution Effects) project.Nitrogen dioxide (NO2) and nitrogen oxides (NOx) were measured with Ogawa passive samplers at 40 or 80 sites in each of the 36 study areas. The spatial variation in each area was explained by LUR modeling. Centrally and locally available Geographic Information System (GIS) variables were used as potential predictors. A leave-one out cross-validation procedure was used to evaluate the model performance.There was substantial contrast in annual average NO2 and NOx concentrations within the study areas. The model explained variances (R2) of the LUR models ranged from 55% to 92% (median 82%) for NO2 and from 49% to 91% (median 78%) for NOx. For most areas the cross-validation R2 was less than 10% lower than the model R2. Small-scale traffic and population/household density were the most common predictors. The magnitude of the explained variance depended on the contrast in measured concentrations as well as availability of GIS predictors, especially traffic intensity data were important. In an additional evaluation, models in which local traffic intensity was not offered had 10% lower R2 compared to models in the same areas in which these variables were offered.Within the ESCAPE project it was possible to develop LUR models that explained a large fraction of the spatial variance in measured annual average NO2 and NOx concentrations. These LUR models are being used to estimate outdoor concentrations at the home addresses of participants in over 30 cohort studies.
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| 2. |
- Perez, Laura, et al.
(författare)
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Chronic burden of near-roadway traffic pollution in 10 European cities (APHEKOM network)
- 2013
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Ingår i: European Respiratory Journal. - Sheffield, England : European Respiratory Society. - 0903-1936 .- 1399-3003. ; 42:3, s. 594-605
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Tidskriftsartikel (refereegranskat)abstract
- Recent epidemiological research suggests that near road traffic-related pollution may cause chronic disease, as well as exacerbate related pathologies, implying that the entire "chronic disease progression" should be attributed to air pollution, no matter what the proximate cause was. We estimated the burden of childhood asthma attributable to air pollution in 10 European cities by calculating the number of cases of 1) asthma caused by near road traffic-related pollution, and 2) acute asthma events related to urban air pollution levels. We then expanded our approach to include coronary heart diseases in adults.Derivation of attributable cases required combining concentration-response function (CRF) between exposures and the respective health outcome of interest (obtained from published literature), an estimate of the distribution of selected exposures in the target population, and information about the frequency of the assessed morbidities.Exposure to roads with high vehicle traffic, a proxy for near road traffic-related pollution, accounted for 14% of all asthma cases. When a causal relationship between near road traffic-related pollution and asthma is assumed, 15% of all episodes of asthma symptoms were attributable to air pollution. Without this assumption, only 2% of asthma symptoms were attributable to air pollution. Similar patterns were found for coronary heart diseases in older adults.Pollutants along busy roads are responsible for a large and preventable share of chronic disease and related acute exacerbation in European urban areas.
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| 3. |
- Qian, Hong, et al.
(författare)
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Molecular Characterization of Prospectively Isolated Multipotent Mesenchymal Progenitors Provides New Insight into the Cellular Identity of Mesenchymal Stem Cells in Mouse Bone Marrow
- 2013
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Ingår i: Molecular and Cellular Biology. - : American Society for Microbiology. - 0270-7306 .- 1098-5549. ; 33:4, s. 661-677
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Tidskriftsartikel (refereegranskat)abstract
- Despite great progress in the identification of mesenchymal stem cells (MSCs) from bone marrow (BM), our knowledge of their in vivo cellular identity remains limited. We report here that cells expressing the transcription factor Ebf2 in adult BM display characteristics of MSCs. The Ebf2(+) cells are highly clonal and physiologically quiescent. In vivo lineage-tracing experiments, single cell clone transplantations, and in vitro differentiation assays revealed their self-renewal and multilineage differentiation capacity. Gene expression analysis of the freshly sorted Ebf2(+) cells demonstrated the expression of genes previously reported to be associated with MSCs and the coexpression of multiple lineage-associated genes at the single-cell level. Thus, Ebf2 expression is not restricted to committed osteoblast progenitor cells but rather marks a multipotent mesenchymal progenitor cell population in adult mouse BM. These cells do not appear to completely overlap the previously reported MSC populations. These findings provide new insights into the in vivo cellular identity and molecular properties of BM mesenchymal stem and progenitor cells.
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| 4. |
- Raaschou-Nielsen, Ole, et al.
(författare)
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Air pollution and lung cancer incidence in 17 European cohorts : prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE)
- 2013
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Ingår i: The Lancet Oncology. - 1470-2045 .- 1474-5488. ; 14:9, s. 813-822
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Ambient air pollution is suspected to cause lung cancer. We aimed to assess the association between long-term exposure to ambient air pollution and lung cancer incidence in European populations.METHODS: This prospective analysis of data obtained by the European Study of Cohorts for Air Pollution Effects used data from 17 cohort studies based in nine European countries. Baseline addresses were geocoded and we assessed air pollution by land-use regression models for particulate matter (PM) with diameter of less than 10 μm (PM10), less than 2·5 μm (PM2·5), and between 2·5 and 10 μm (PMcoarse), soot (PM2·5absorbance), nitrogen oxides, and two traffic indicators. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effects models for meta-analyses.FINDINGS: The 312 944 cohort members contributed 4 013 131 person-years at risk. During follow-up (mean 12·8 years), 2095 incident lung cancer cases were diagnosed. The meta-analyses showed a statistically significant association between risk for lung cancer and PM10 (hazard ratio [HR] 1·22 [95% CI 1·03-1·45] per 10 μg/m(3)). For PM2·5 the HR was 1·18 (0·96-1·46) per 5 μg/m(3). The same increments of PM10 and PM2·5 were associated with HRs for adenocarcinomas of the lung of 1·51 (1·10-2·08) and 1·55 (1·05-2·29), respectively. An increase in road traffic of 4000 vehicle-km per day within 100 m of the residence was associated with an HR for lung cancer of 1·09 (0·99-1·21). The results showed no association between lung cancer and nitrogen oxides concentration (HR 1·01 [0·95-1·07] per 20 μg/m(3)) or traffic intensity on the nearest street (HR 1·00 [0·97-1·04] per 5000 vehicles per day).INTERPRETATION: Particulate matter air pollution contributes to lung cancer incidence in Europe.FUNDING: European Community's Seventh Framework Programme.
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