Chronic Social Stress and Susceptibility to Concentrated Ambient Fine Particles in Rats

Clougherty, Jane E.; Rossi, Christina; Lawrence, Joy; Long, Mark S.; Diaz, Edgar A.; Lim, Robert H.; McEwen, Bruce S.; Koutrakis, Petros; Godleski, John J.

doi:10.1289/ehp.0901631

Cited by 81 publications

(61 citation statements)

References 64 publications

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“…However, O3 is usually associated with emissions from automobiles and photochemical air pollution in real life. As the latter can be strongly linked with downmood factors such as stress and depression [8], relation analysis between mood and ozone without considering air pollution effect will lead to erroneous conclusions. For another example, snow leads to down mood, as we find in the above analysis.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

What a Nasty Day

Wang

Hovy³

2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

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While it has long been believed in psychology that weather somehow influences human's mood, the debates have been going on for decades about how they are correlated. In this paper, we try to study this long-lasting topic by harnessing a new source of data compared from traditional psychological researches: Twitter. We analyze 2 years' twitter data collected by twitter API which amounts to 10% of all postings and try to reveal the correlations between multiple dimensional structure of human mood with meteorological effects. Some of our findings confirm existing hypotheses, while others contradict them. We are hopeful that our approach, along with the new data source, can shed on the long-going debates on weather-mood correlation.

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Section: Conclusion and Discussionmentioning

confidence: 99%

What a Nasty Day

Wang

Hovy³

2014

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

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“…These common biologic pathways may explain the recent epidemiologic studies demonstrating that the risk of TRP-associated asthma was larger in children in high-stress homes or with a history of exposure to violence (20,25). Although the epidemiologic studies have largely examined modifying effects of stress on the relationship between TRP and asthma, one toxicologic study found that stress modified the effect of pollution on lung function (21). In a rat model, low respiratory flows and volumes resulting from exposure to ambient fine particles occurred only in stressed animals.…”

Section: Discussionmentioning

confidence: 99%

“…Diminished production of antiinflammatory IL-5 and IFN-g from peripheral blood mononuclear cells, and an increase in eosinophils (18), has been reported from children with asthma who perceived low parental support (a proxy for psychosocial stress). Because psychosocial stress can provide a milieu that can augment the effect of inflammatory and oxidative stressors present in TRP (19)(20)(21), we hypothesized that children exposed to high level of chronic stress would be more susceptible to the detrimental effect of TRP on lung function deficits in children.…”

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confidence: 99%

Parental Stress Increases the Detrimental Effect of Traffic Exposure on Children's Lung Function

Islam¹,

Urman²,

Gauderman³

et al. 2011

Am J Respir Crit Care Med

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Rationale: Emerging evidence indicates that psychosocial stress enhances the effect of traffic exposure on the development of asthma. Objectives: We hypothesized that psychosocial stress would also modify the effect of traffic exposure on lung function deficits. Methods: We studied 1,399 participants in the Southern California Children's Health Study undergoing lung function testing (mean age, 11.2 yr). We used hierarchical mixed models to assess the joint effect of traffic-related air pollution and stress on lung function. Measurements and Main Results: Psychosocial stress in each child's household was assessed based on parental response to the perceived stress scale (range, 0-16) at study entry. Exposures to nitric oxide, nitrogen dioxide, and total oxides of nitrogen (NO x ), surrogates of the traffic-related pollution mixture, were estimated at schools and residences based on a land-use regression model. Among children from high-stress households (parental perceived stress scale .4) deficits in FEV 1 of 4.5 (95% confidence interval, 26.5 to 22.4) and of 2.8% (25.7 to 0.3) were associated with each 21.8 ppb increase in NO x at homes and schools, respectively. These pollutant effects were significantly larger in the high-stress compared with lower-stress households (interaction P value 0.007 and 0.05 for residential and school NOx, respectively). No significant NOx effects were observed in children from low-stress households. A similar pattern of association was observed for FVC. The observed associations for FEV 1 and FVC remained after adjusting for sociodemographic factors and after restricting the analysis to children who do not have asthma. Conclusions: A high-stress home environment is associated with increased susceptibility to lung function effects of air pollution both at home and at school.

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“…This is a sensitive indicator of effects in the lung, and can be used to assess changes throughout the entire exposure period. Parameters of interest included peak expiratory flow (PEF), tidal volume (TV), respiratory frequency (f), and minute 3-7 ventilation (MV) (Clarke et al, 1999;Nikolov et al, 2008;Clougherty et al,. 2010).…”

Section: Toxicological Assessmentsmentioning

confidence: 99%

Toxicological Evaluation of Realistic Emissions of Source Aerosols (Teresa): Application to Power Plant-Derived PM2.5

Rohr¹,

Koutrakis²,

Godleski³

2011

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Determining the health impacts of different sources and components of fine particulate matter (PM 2.5 ) is an important scientific goal, because PM is a complex mixture of both inorganic and organic constituents that likely differ in their potential to cause adverse health outcomes. The TERESA (Toxicological Evaluation of Realistic Emissions of Source Aerosols) study focused on two PM sources -coal-fired power plants and mobile sources -and sought to investigate the toxicological effects of exposure to realistic emissions from these sources. The DOE-EPRI Cooperative Agreement covered the performance and analysis of field experiments at three power plants. The mobile source component consisted of experiments conducted at a traffic tunnel in Boston; these activities were funded through the Harvard-EPA Particulate Matter Research Center and will be reported separately in the peer-reviewed literature.TERESA attempted to delineate health effects of primary particles, secondary (aged) particles, and mixtures of these with common atmospheric constituents. The study involved withdrawal of emissions directly from power plant stacks, followed by aging and atmospheric transformation of emissions in a mobile laboratory in a manner that simulated downwind power plant plume processing. Secondary organic aerosol (SOA) derived from the biogenic volatile organic compound -pinene was added in some experiments, and in others ammonia was added to neutralize strong acidity. Specifically, four scenarios were studied at each plant: primary particles (P); secondary (oxidized) particles (PO); oxidized particles + secondary organic aerosol (SOA) (POS); and oxidized and neutralized particles + SOA (PONS). Extensive exposure characterization was carried out, including gas-phase and particulate species. Male Sprague Dawley rats were exposed for 6 hours to filtered air or different atmospheric mixtures. Toxicological endpoints included (1) breathing pattern; (2) bronchoalveolar lavage (BAL) fluid cytology and biochemistry; (3) blood cytology; (4) in vivo oxidative stress in heart and lung tissue; and (5) heart and lung histopathology. In addition, at one plant, cardiac arrhythmias and heart rate variability (HRV) were evaluated in a rat model of myocardial infarction. Statistical analyses included analyses of variance (ANOVA) to determine differences between exposed and control animals in response to different scenario/plant combinations; univariate analyses to link individual scenario components to responses; and multivariate analyses (Random Forest analyses) to evaluate component effects in a multipollutant setting.Results from the power plant studies indicated some biological responses to some plant/scenario combinations. A number of significant breathing pattern changes were observed; however, significant clinical changes such as specific irritant effects were not readily apparent, and effects tended to be isolated changes in certain respiratory parameters. Some individual exposure scenario components appeared to be more strong...

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Chronic Social Stress and Susceptibility to Concentrated Ambient Fine Particles in Rats

Cited by 81 publications

References 64 publications

What a Nasty Day

What a Nasty Day

Parental Stress Increases the Detrimental Effect of Traffic Exposure on Children's Lung Function

Toxicological Evaluation of Realistic Emissions of Source Aerosols (Teresa): Application to Power Plant-Derived PM2.5

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