Validation of the MIMOSA-AURORA-IFDM model chain for policy support: Modeling concentrations of elemental carbon in Flanders

Lefebvre, Wouter; Vercauteren, Jordy; Schrooten, Liesbeth; Janssen, Stijn; Degraeuwe, Bart; Maenhaut, Willy; Vlieger, Ina De; Vankerkom, Jean; Cosemans, G.; Mensink, Clemens; Veldeman, Nele; Deutsch, Felix; Looy, Stijn Van; Peelaerts, Wim; Lefebre, Filip

doi:10.1016/j.atmosenv.2011.08.033

Cited by 105 publications

(63 citation statements)

References 24 publications

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“…This method uses pollution data collected in the official fixed-site monitoring networks ( n = 34) and land cover data obtained from satellite images (CORINE land cover data set; http://www.eea.europa.eu/publications/COR0-landcover) in combination with a dispersion model as described by Lefebvre et al (2011, 2013). This model chain provides daily PM 2.5 values using data both from the Belgian telemetric air quality network, point sources, and line sources which then are interpolated to a high-resolution receptor grid (25 × 25 m).…”

Section: Methodsmentioning

confidence: 99%

Neonatal Cord Blood Oxylipins and Exposure to Particulate Matter in the Early-Life Environment: An ENVIR ON AGE Birth Cohort Study

Martens

Gouveia

Madhloum

et al. 2017

Environ Health Perspect

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Background:As part of the lipidome, oxylipins are bioactive lipid compounds originating from oxidation of different fatty acids. Oxylipins could provide a new target in the developmental origins model or the ability of early life exposure to change biology.Objectives:We studied the association between in utero PM2.5 (particulate matter with aerodynamic diameter < 2.5 μm) exposure and oxylipin profiles in newborns.Methods:Thirty-seven oxylipins reflecting the cyclooxygenase (COX), lipoxygenase (5-LOX and 12/15-LOX), and cytochrome P450 (CYP) pathways were assayed in 197 cord blood plasma samples from the ENVIRONAGE birth cohort. Principal component (PC) analysis and multiple regression models were used to estimate associations of in utero PM2.5 exposure with oxylipin pathways and individual metabolites.Results:A principal component representing the 5-LOX pathway (6 metabolites) was significantly positively associated with PM2.5 exposure during the entire (multiple testing–adjusted q-value = 0.05) and second trimester of pregnancy (q = 0.05). A principal component representing the 12/15-LOX pathway (11 metabolites) was positively associated with PM2.5 exposure during the second trimester of pregnancy (q = 0.05). PM2.5 was not significantly associated with the COX pathway during any time period. There was a positive but nonsignificant association between second-trimester PM2.5 and the CYP pathway (q = 0.16).Conclusion: In utero exposure to particulate matter, particularly during the second trimester, was associated with differences in the cord blood levels of metabolites derived from the lipoxygenase pathways. These differences may indicate an effect of air pollution during in utero life on the inflammatory state of the newborn at birth. Oxylipins may be important mediators between early life exposures and health outcomes later in life.Citation:Martens DS, Gouveia S, Madhloum N, Janssen BG, Plusquin M, Vanpoucke C, Lefebvre W, Forsberg B, Nording M, Nawrot TS. 2017. Neonatal cord blood oxylipins and exposure to particulate matter in the early-life environment: an ENVIRONAGE birth cohort study. Environ Health Perspect 125:691–698; http://dx.doi.org/10.1289/EHP291

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Section: Methodsmentioning

confidence: 99%

Neonatal Cord Blood Oxylipins and Exposure to Particulate Matter in the Early-Life Environment: An ENVIR ON AGE Birth Cohort Study

Martens

Gouveia

Madhloum

et al. 2017

Environ Health Perspect

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“…The model has been applied and tested in several regional-scale air quality modelling studies (De Ridder et al, 2008;Lefebvre et al, 2011). In the model, the vertical diffusion is calculated with the Crank-Nicholson method (De Ridder and Mensink, 2002), while the horizontal advection uses a Walcek (2000) scheme.…”

Section: The Aurora Modelmentioning

confidence: 99%

The effect of climate change and emission scenarios on ozone concentrations over Belgium: a high-resolution model study for policy support

et al. 2014

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Abstract. Belgium is one of the areas within Europe experiencing the highest levels of air pollution. A high-resolution (3 km) modelling experiment is employed to provide guidance to policymakers about expected air quality changes in the near future (2026)(2027)(2028)(2029)(2030)(2031)(2032)(2033)(2034)(2035). The regional air quality model AURORA (Air quality modelling in Urban Regions using an Optimal Resolution Approach), driven by output from a regional climate model, is used to simulate several 10-year time slices to investigate the impact of climatic changes and different emission scenarios on near-surface O 3 concentrations, one of the key indices for air quality. Evaluation of the model against measurements from 34 observation stations shows that the AURORA model is capable of reproducing 10-year mean concentrations, daily cycles and spatial patterns. The results for the Representative Concentration Pathways (RCP)4.5 emission scenario indicate that the mean surface O 3 concentrations are expected to increase significantly in the near future due to less O 3 titration by reduced NO x emissions. Applying an alternative emission scenario for Europe is found to have only a minor impact on the overall concentrations, which are dominated by the background changes. Climate change alone has a much smaller effect on the near-surface O 3 concentrations over Belgium than the projected emission changes. The very high horizontal resolution that is used in this study results in much improved spatial correlations and simulated peak concentrations compared to a standard 25 km simulation. An analysis of the number of peak episodes during summer revealed that the emission reductions in RCP4.5 result in a 25 % decrease of these peak episodes.

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“…For each mother's residential address, we interpolated the regional background levels of PM 2.5 (micrograms per cubic meter) using a spatial temporal interpolation method (Kriging) 41 that uses pollution data collected in the official fixed site monitoring network (n D 34) and land cover data obtained from satellite images (Corine land cover data set) in combination with a dispersion model (dispersion modeling described by Lefebvre et al 42,43 ). This model chain provides daily PM 2.5 values using data from the Belgian telemetric air quality network, point sources and line sources which are then interpolated to a high-resolution receptor grid.…”

Section: Exposure Measurementmentioning

confidence: 99%

Placental mitochondrial methylation and exposure to airborne particulate matter in the early life environment: An ENVIRONAGE birth cohort study

Janssen¹,

Byun²,

Gyselaers³

et al. 2015

Epigenetics

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163

139

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Abbreviations: 12S rRNA, Mitochondrial ribosomal 12S rRNA; D-loop, Displacement loop; IQR, Interquartile range; mtDNA, Mitochondrial DNA; mtDNMT1, Mitochondrial isoform of nuclear-encoded DNA methyltransferase enzyme 1;MT-RNR1, Mitochondrial region RNR1; PM, Particulate matter.Most research to date has focused on epigenetic modifications in the nuclear genome, with little attention devoted to mitochondrial DNA (mtDNA). Placental mtDNA content has been shown to respond to environmental exposures that induce oxidative stress, including airborne particulate matter (PM). Damaged or non-functioning mitochondria are specifically degraded through mitophagy, exemplified by lower mtDNA content, and could be primed by epigenetic modifications in the mtDNA. We studied placental mtDNA methylation in the context of the early life exposome. We investigated placental tissue from 381 mother-newborn pairs that were enrolled in the ENVIRONAGE birth cohort. We determined mtDNA methylation by bisulfite-pyrosequencing in 2 regions, i.e., the D-loop control region and 12S rRNA (MT-RNR1), and measured mtDNA content by qPCR. PM 2.5 exposure was calculated for each participant's home address using a dispersion model. An interquartile range (IQR) increment in PM 2.5 exposure over the entire pregnancy was positively associated with mtDNA methylation (MT-RNR1: C0.91%, P D 0.01 and D-loop: C0.21%, P D 0.05) and inversely associated with mtDNA content (relative change of ¡15.60%, P D 0.001) in placental tissue. mtDNA methylation was estimated to mediate 54% [P D 0.01 (MT-RNR1)] and 27% [P D 0.06 (D-loop)] of the inverse association between PM 2.5 exposure and mtDNA content. This study provides new insight into the mechanisms of altered mitochondrial function in the early life environment. Epigenetic modifications in the mitochondrial genome, especially in the MT-RNR1 region, substantially mediate the association between PM 2.5 exposure during gestation and placental mtDNA content, which could reflect signs of mitophagy and mitochondrial death.

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Validation of the MIMOSA-AURORA-IFDM model chain for policy support: Modeling concentrations of elemental carbon in Flanders

Cited by 105 publications

References 24 publications

Neonatal Cord Blood Oxylipins and Exposure to Particulate Matter in the Early-Life Environment: An ENVIR ON AGE Birth Cohort Study

Neonatal Cord Blood Oxylipins and Exposure to Particulate Matter in the Early-Life Environment: An ENVIR ON AGE Birth Cohort Study

The effect of climate change and emission scenarios on ozone concentrations over Belgium: a high-resolution model study for policy support

Placental mitochondrial methylation and exposure to airborne particulate matter in the early life environment: An ENVIRONAGE birth cohort study

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