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1.
Chemosphere ; 363: 142883, 2024 Sep.
Article in English | MEDLINE | ID: mdl-39025310

ABSTRACT

BACKGROUND: Regular monitoring of the air pollutant nitrogen dioxide (NO2), an indicator for traffic-related emissions, is a priority in urban environments. The health impacts associated with NO2 exposure are the result of a combination of factors, including concentration, duration of exposure, and interactions with other pollutants. WHO has established air quality guidelines based on epidemiological studies. OBJECTIVE: This study develops a new concept "Health Impact Pathways (HIPs)" using adversity as a probabilistic indicator of health effects. For this purpose, it integrates available toxicological and epidemiological information, using Adverse Outcome Pathways (AOPs), in order to understand chemical-biological interactions and their consequences on health. METHODS: Literature review and meta-analysis of toxicological data supported by expert judgment were performed to establish: a) adversity pathways, b) quantitative criteria for scoring the observed toxicological effects (adversity indicators), c) NO2 exposure - adversity relationship for both long-term (1-36 months) and shortterm (1-7 days). The NO2 daily concentrations from January 2001 to December 2022, were obtained from Madrid city Air Quality network monitoring database. Adversity levels were compared with relative risk levels for all-cause and respiratory mortality estimated using linear equations from WHO 2021 guidelines. RESULTS: Non-linear relations were obtained for all long- and short-term NO2 related adversity indicators; for long-term effects, the best fitting was obtained with a modified Haber's law model with an exponential coefficient for the exposure time of 0.25. Estimations are presented for a set of case studies for Madrid city, covering temporal and spatial variability. A clear improvement trend along the two decades was observed, as well as high inter- and intra-station variability; the adversity indicators provided integrated information on the temporal and spatial evolution of population level risk. DISCUSSION: The proposed HIP conceptual approach offers promising advances for integrating experimental and epidemiological data. The next step is linking the concentration-adversity relationship with population health impacts through probability estimations, the preliminary estimations confirm the need for assessing independently different population groups.


Subject(s)
Air Pollutants , Air Pollution , Environmental Monitoring , Nitrogen Dioxide , Nitrogen Dioxide/analysis , Nitrogen Dioxide/toxicity , Air Pollutants/toxicity , Air Pollutants/analysis , Humans , Environmental Monitoring/methods , Air Pollution/statistics & numerical data , Environmental Exposure/statistics & numerical data , Adverse Outcome Pathways , Risk Assessment
2.
Cell Signal ; 25(4): 729-35, 2013 Apr.
Article in English | MEDLINE | ID: mdl-23277202

ABSTRACT

CC and CXC chemokine receptor signalling networks are regulated in different ways. Here we show that intracellular calcium release and cell migration occur independent of Gßγ activation in response to CCL3, whereas CXCL11 induced migration of activated T-lymphocytes depends on Gßγ activation. Treatment of a range of cell types with gallein, a pharmacological inhibitor of Gßγ signalling, did not result in a reduction in CCL3 induced cellular migration, but resulted in enhanced calcium mobilisation following chemokine stimulation. Inhibition of PI3 kinase (PI3K) and AKT, which are activated downstream of Gßγ, equally had no effect on calcium release and a minor effect on cell migration. Similarly, inhibition of ERK1/2 did not prevent CCL3 induced migration. Interestingly, Gßγ as well as PI3K activation is necessary for CXCL11 induced migration of activated T-cells. These data not only confirm a role for Gßγ signalling in CXCL11 induced migration, but also demonstrate that targeting Gßγ as a therapeutic target to prevent migration in inflammatory disease may not be beneficial, at least not for CCL3 induced migration. This highlights the distinct differences in the mechanisms on how CC- and CXC-receptors activate cellular migration.


Subject(s)
GTP-Binding Protein beta Subunits/metabolism , GTP-Binding Protein gamma Subunits/metabolism , Receptors, Chemokine/metabolism , Animals , CHO Cells , Calcium/metabolism , Cell Line , Cell Movement/drug effects , Chemokine CCL3/pharmacology , Chemokine CXCL11/pharmacology , Chemotaxis/drug effects , Cricetinae , Cricetulus , HEK293 Cells , HeLa Cells , Humans , Mitogen-Activated Protein Kinase 1/metabolism , Mitogen-Activated Protein Kinase 3/metabolism , Phosphatidylinositol 3-Kinases/metabolism , Proto-Oncogene Proteins c-akt/metabolism , Receptors, CCR5/metabolism , Signal Transduction/drug effects , T-Lymphocytes/immunology , T-Lymphocytes/metabolism , Xanthenes/pharmacology
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