scholarly journals Effects of air pollution exposure on social behavior: a synthesis and call for research

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Chelsea A. Weitekamp ◽  
Hans A. Hofmann

Abstract Background There is a growing literature from both epidemiologic and experimental animal studies suggesting that exposure to air pollution can lead to neurodevelopmental and neuropsychiatric disorders. Here, we suggest that effects of air pollutant exposure on the brain may be even broader, with the potential to affect social decision-making in general. Methods We discuss how the neurobiological substrates of social behavior are vulnerable to air pollution, then briefly present studies that examine the effects of air pollutant exposure on social behavior-related outcomes. Results Few experimental studies have investigated the effects of air pollution on social behavior and those that have focus on standard laboratory tests in rodent model systems. Nonetheless, there is sufficient evidence to support a critical need for more research. Conclusion For future research, we suggest a comparative approach that utilizes diverse model systems to probe the effects of air pollution on a wider range of social behaviors, brain regions, and neurochemical pathways.

Author(s):  
Maria-Viola Martikainen ◽  
Päivi Aakko-Saksa ◽  
Lenie van den Broek ◽  
Flemming R. Cassee ◽  
Roxana O. Carare ◽  
...  

The adverse effects of air pollutants on the respiratory and cardiovascular systems are unquestionable. However, in recent years, indications of effects beyond these organ systems have become more evident. Traffic-related air pollution has been linked with neurological diseases, exacerbated cognitive dysfunction, and Alzheimer’s disease. However, the exact air pollutant compositions and exposure scenarios leading to these adverse health effects are not known. Although several components of air pollution may be at play, recent experimental studies point to a key role of ultrafine particles (UFPs). While the importance of UFPs has been recognized, almost nothing is known about the smallest fraction of UFPs, and only >23 nm emissions are regulated in the EU. Moreover, the role of the semivolatile fraction of the emissions has been neglected. The Transport-Derived Ultrafines and the Brain Effects (TUBE) project will increase knowledge on harmful ultrafine air pollutants, as well as semivolatile compounds related to adverse health effects. By including all the major current combustion and emission control technologies, the TUBE project aims to provide new information on the adverse health effects of current traffic, as well as information for decision makers to develop more effective emission legislation. Most importantly, the TUBE project will include adverse health effects beyond the respiratory system; TUBE will assess how air pollution affects the brain and how air pollution particles might be removed from the brain. The purpose of this report is to describe the TUBE project, its background, and its goals.


Toxics ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 132
Author(s):  
Myles X. Hodge ◽  
Andres R. Henriquez ◽  
Urmila P. Kodavanti

Adrenergic receptors (ARs) and glucocorticoid receptors (GRs) are activated by circulating catecholamines and glucocorticoids, respectively. These receptors regulate the homeostasis of physiological processes with specificity via multiple receptor subtypes, wide tissue-specific distribution, and interactions with other receptors and signaling processes. Based on their physiological roles, ARs and GRs are widely manipulated therapeutically for chronic diseases. Although these receptors play key roles in inflammatory and cellular homeostatic processes, little research has addressed their involvement in the health effects of air pollution. We have recently demonstrated that ozone, a prototypic air pollutant, mediates pulmonary and systemic effects through the activation of these receptors. A single exposure to ozone induces the sympathetic–adrenal–medullary and hypothalamic–pituitary–adrenal axes, resulting in the release of epinephrine and corticosterone into the circulation. These hormones act as ligands for ARs and GRs. The roles of beta AR (βARs) and GRs in ozone-induced pulmonary injury and inflammation were confirmed in a number of studies using interventional approaches. Accordingly, the activation status of ARs and GRs is critical in mediating the health effects of inhaled irritants. In this paper, we review the cellular distribution and functions of ARs and GRs, their lung-specific localization, and their involvement in ozone-induced health effects, in order to capture attention for future research.


2018 ◽  
Author(s):  
Daniel Quintana ◽  
Knut T. Smerud ◽  
Ole A. Andreassen ◽  
Per G. Djupesland

The neuropeptide oxytocin plays an evolutionarily conserved role in mammalian social behavior. To experimentally manipulate central levels of oxytocin, animal studies have adopted direct intracerebroventricular (ICV) delivery to the brain, given that only small amounts of peripherally circulating oxytocin are thought to transfer from the periphery to the central compartment. Despite striking effects on social behavior in animals, ICV drug delivery is largely impractical for human therapies. Intranasal oxytocin delivery provides a non-invasive alternative to increase central oxytocin activity, and has shown promise as a treatment for psychiatric illnesses characterized by social dysfunction. Intranasal oxytocin delivery is purported to increase central oxytocin concentrations via channels surrounding trigeminal and olfactory nerve fibres, which may facilitate increased activity at central oxytocin receptors. This review outlines the evidence for intranasal oxytocin delivery increasing central concentrations or activity, identifies current knowledge gaps, and highlights future research opportunities. Recent efforts to enhance intranasal oxytocin delivery via improved intranasal delivery technology and dose-ranging studies are also discussed.


2021 ◽  
Author(s):  
Jane Morphett ◽  
◽  
Alexandra Whittaker ◽  
Amy Reichelt ◽  
Mark Hutchinson

Is the perineuronal net structure within emotional processing brain regions associated with changes in affective state? The objective of this scoping review is to bring together the literature on human and animal studies which have measured perineuronal net structure in brain regions associated with emotional processing (such as but not limited to amygdala, hippocampus and prefrontal cortex). Perineuronal nets are a specialised form of condensed extracellular matrix that enwrap and protect neurons (Suttkus et al., 2016), regulate synaptic plasticity (Celio and Blumcke, 1994) and ion homeostasis (Morawski et al., 2015). Perineuronal nets are dynamic structures that are influenced by external and internal environmental shifts – for example, increasing in intensity and number in response to stressors (Blanco and Conant, 2021) and pharmacological agents (Riga et al., 2017). This review’s objective is to generate a compilation of existing knowledge regarding the structural changes of perineuronal nets in experimental studies that manipulate affective state, including those that alter environmental stressors. The outcomes will inform future research directions by elucidating non-cellular central nervous system mechanisms that underpin positive and negative emotional states. These methods may also be targets for manipulation to manage conditions of depression or promote wellbeing. Population: human and animal Condition: affective state as determined through validated behavioural assessment methods or established biomarkers. This includes both positive and negative affective states. Context: PNN structure, measuringPNNs.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
P Mudu ◽  
R Pérez Velasco ◽  
I Zastenskaya ◽  
D Jarosinska

Abstract Along the years, the International Agency for Research on Cancer (IARC) has classified many air pollutants components as carcinogens, including solvents, diesel engine exhaust, metals, such as chromium, nickel, arsenic, and cadmium. The IARC list of Group 1 carcinogens includes benzene, diesel exhaust, benzo[a]pyrene (B[a]P, a polycyclic aromatic hydrocarbon [PAH]), indoor emissions from coal combustion, and 1,3-buta-diene. Sources, mainly combustion-related, that emit airborne carcinogens can be both in indoor and outdoor. In 2013, the IARC has classified outdoor air pollution and one of its major components, particulate matter (PM), as carcinogenic. In its evaluation, the IARC suggested sufficient evidence showing that exposure to outdoor air pollution and PM causes lung cancer and it noted that a positive association between such pollution and an increased risk of bladder cancer. The association between exposure to air pollutant and cancer risk has been investigated in cohort studies and the results are generally consistent, indicating that long-term exposure to air pollution can cause lung cancer and increase risks of cancer in other locations. The use of the information on carcinogenicity is fundamental to produce estimates to quantify risks and impacts on exposed population. WHO in several recent activities has addressed this issue. For example, it is also under consideration by various experts in the framework of the Task Force for Health (TFH) of the UNECE Convention on Long-range Transboundary Air Pollution. The discussion of this session will focus on the implications and the challenges to integrate toxicological and epidemiological evidence of identified air carcinogens in health in risk and impact assessment.


2021 ◽  
Vol 79 (4) ◽  
pp. 1409-1427
Author(s):  
Lei Huang ◽  
Yang Zhang ◽  
Yongwei Wang ◽  
Yajia Lan

Degenerative dementia, of which Alzheimer’s disease is the most common form, is characterized by the gradual deterioration of cognitive function. The events that trigger and promote degenerative dementia are not clear, and treatment options are limited. Experimental and epidemiological studies have revealed chronic noise exposure (CNE) as a potential risk factor for cognitive impairment and degenerative dementia. Experimental studies have indicated that long-term exposure to noise might accelerate cognitive dysfunction, amyloid-β deposition, and tau hyperphosphorylation in different brain regions such as the hippocampus and cortex. Epidemiological studies are increasingly examining the possible association between external noise exposure and dementia. In this review, we sought to construct a comprehensive summary of the relationship between CNE, cognitive dysfunction, and degenerative dementia. We also present the limitations of existing evidence as a guide regarding important prospects for future research.


2019 ◽  
Author(s):  
Birgit Szabo ◽  
Daniel W.A. Noble ◽  
Martin Whiting

Recently, there has been a surge in cognition research using non-avian reptile systems. As a diverse group of animals, non-avian reptiles (turtles, the tuatara, crocodilians, and squamates - lizards, snakes and amphisbaenids) are good model systems for answering questions related to cognitive ecology; from the role of the environment in impacting brain, behaviour and learning, to how social and life-history factors correlate with learning ability. Furthermore, given their variable social structure and degree of sociality, studies on reptiles have demonstrated that group living is not a pre-condition for social learning. Past research has undoubtedly demonstrated that non-avian reptiles are capable of more than just instinctive reactions and basic cognition. Despite their ability to provide answers to fundamental questions in cognitive ecology, and a growing literature base, there have been no systematic syntheses of research in this group. Here, we systematically, and comprehensively review studies on reptile learning. We identify 92 new studies investigating learning in reptiles not included in previous reviews on the same topic – affording a unique opportunity to provide a more in-depth synthesis of existing work, its taxonomic distribution, the types of cognitive domains tested and methodology that has been used. Our review therefore provides a major update on our current state of knowledge and ties the collective evidence together under nine umbrella research areas: (1) habituation, (2) conditioning, (3) aversion learning, (4) spatial learning, (5) learning during foraging, (6) numerical competency, (7) learning flexibility, (8) problem solving, and (9) social learning. Importantly, we identify knowledge gaps and propose themes which offer important future research opportunities including how cognitive ability might influence fitness and survival, testing cognition in ecologically relevant situations, comparing cognition in invasive and non-invasive populations of species, and social learning. To move the field forward, it will be immensely important to build upon the descriptive approach of testing if a species can learn a task with experimental studies elucidating causal reasons for cognitive variation within and between species. With the appropriate methodology, this young but rapidly growing field of research should advance greatly in the coming years providing significant opportunities for addressing general questions in cognitive ecology and beyond.


2019 ◽  
Vol 10 ◽  
pp. 204201881989704 ◽  
Author(s):  
Yongze Li ◽  
Lu Xu ◽  
Zhongyan Shan ◽  
Weiping Teng ◽  
Cheng Han

Air pollution and type 2 diabetes mellitus (T2DM) are critical public health issues worldwide. A large number of epidemiological studies have highlighted the adverse effects of air pollution on diabetes, and include risk profiles for different exposure durations, study design types, subgroup populations, and effects of air pollution components. We researched PubMed, Google Scholar, and Web of Science to identify studies on the association between air pollution and T2DM from January 2009 to January 2019. The aim of this review is to provide a brief overview of epidemiological and experimental studies on air pollution associated with T2DM from the latest research, which may provide practical information about this relationship and possible mechanisms. Current cumulative evidence appears to suggest that T2DM-related biomarkers increase with increasing exposure duration and concentration of air pollutants. The chemical constituents of the air pollutant mixture may affect T2DM to varying degrees. The suggested mechanisms whereby air pollutants induce T2DM include increased inflammation, oxidative stress, and endoplasmic reticulum stress.


Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 686
Author(s):  
Kuo Liao ◽  
Xiaohui Huang ◽  
Haofei Dang ◽  
Yin Ren ◽  
Shudi Zuo ◽  
...  

Air pollutant forecasting can be used to quantitatively estimate pollutant reduction trends. Combining bibliometrics with the evolutionary tree and Markov chain methods can achieve a superior quantitative analysis of research hotspots and trends. In this work, we adopted a bibliometric method to review the research status of statistical prediction methods for air pollution, used evolutionary trees to analyze the development trend of such research, and applied the Markov chain to predict future research trends for major air pollutants. The results indicate that papers mainly focused on the effects of air pollution on human diseases, urban pollution exposure models, and land use regression (LUR) methods. Particulate matter (PM), nitrogen oxides (NOx), and ozone (O3) were the most investigated pollutants. Artificial neural network (ANN) methods were preferred in studies of PM and O3, while LUR were more widely used in studies of NOx. Additionally, multi-method hybrid techniques gradually became the most widely used approach between 2010 and 2018. In the future, the statistical prediction of air pollution is expected to be based on a mixed method to simultaneously predict multiple pollutants, and the interaction between pollutants will be the most challenging aspect of research on air pollution prediction. The research results summarized in this paper provide technical support for the accurate prediction of atmospheric pollution and the emergency management of regional air quality.


2021 ◽  
Author(s):  
Disha Sharma ◽  
Denise Mauzerall

<p>Launched among growing concerns about air pollution in India, the National Clean Air Program (NCAP) 2019 aims to reduce PM2.5 concentrations by 20-30% by 2024, relative to 2017. This analysis is an overview of air pollution levels in India in the five years prior to implementation of the NCAP program and provides a baseline to evaluate its future success. We analyze ground observations from 2015 – 2019, of five criteria pollutants – PM10, PM2.5, SO2, NO2 and O3. We use data retrieved from the continuous and manual monitors across India to calculate annual average concentrations, seasonal cycles and monthly variability of these five pollutants in northern and southern India (divided at 23.5 oN). We find that northern India has (7%-129%) higher average concentrations of all pollutants compared with southern India, except for SO2 where the concentrations are similar.  Particulate pollution dominates the pollution mix with virtually all sites in the northern region failing to meet the annual average PM10 and PM2.5 national ambient air quality standards (NAAQS) (of 60 g/m3 and 40 g/m3, respectively) while some sites in southern India meet the standard. Although inter-annual variability exists, no significant trend of these pollutant concentrations was observed over the five-year period.  We also conduct case studies in five cities included in the US State Department Air-Now PM2.5 network - Delhi, Kolkata, Mumbai, Hyderabad and Chennai and include continuous monitoring data. We find the annual average PM10 and PM2.5 NAAQS concentrations to be frequently exceeded in these cities with highest concentrations found in Delhi, followed by Kolkata. SO2 concentrations, however, generally meet the NAAQS standard in all the five cities.  NO2 NAAQS are exceeded in Delhi, Kolkata and Hyderabad in winter whereas O3 only occasionally exceeds NAAQS in Delhi.   Our work creates a framework that can be used in future research to evaluate the success of the NCAP air pollution mitigation program.</p>


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