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Air pollution is associated with increasing morbidity, mortality and decreasing health and life span. Accumulating epidemiological and experimental evidence has shown that exposure to ambient air pollutants such as particulate matters (PM) and gaseous components [eg, nitrogen dioxide (NO2), ozone (O3)] has detrimental effects on sleep quality. We conducted this comprehensive review to explore the association between ambient air pollution and sleep quality. A systematic search was conducted with the databases of PubMed and Web of Science from inception to November 2019. Overall, 15 studies with 133,695 subjects that evaluated the association between ambient air pollution and sleep quality were conducted in 10 different countries (ie, USA, Brazil, Canada, Chile, China, Egypt, Germany, Iran, Mexico, and Turkey). Most included studies in the current review have shown that one or more air pollutants have negative influences on sleep quality. Air pollutants might be one of the triggers for poor sleep quality via disparate mechanisms including but not limited to the central ventilator control centers, central nervous system, allergic and non-allergic mechanisms. The possible association between air pollution and select chronic diseases (eg, mental illnesses, cardiovascular diseases) and behaviors (eg, impulsivity) may also play important roles in explaining the association between ambient air pollution and sleep quality. The associations and underlying mechanisms between ambient air pollutants and sleep quality need to be clarified with long-term, multi-centered cohort studies. [ABSTRACT FROM AUTHOR]

Atmospheric nanoparticle growth is a critical bridge between aerosol to clouds and climate. However, current mechanisms for nanoparticle growth are not yet fully understood due to unknown size-resolved chemical composition during the growth process. Here, we present comprehensive field measurements of the size-resolved chemical composition of the atmospheric nanoparticle growth in the size range from 10 to 100 nm using a custom-made Nanoparticle Chemical Ionization Mass Spectrometer (NPCIMS). The typical chemical compositions of nanoparticles are quantified in both positive and negative ion modes during growth processes after sensitivity calibration. The quantification results for chemical compositions show that CHO organics account for ∼80% of the newly formed particle in the growth process with diameters from 10 to 25 nm. However, the nitrate component is rarely observed during the nanoparticle growth under size-resolved mode (10–25 nm), indicating the little contribution of the nitrate component to growth at diameters below 25 nm. Different from the contribution of aminium salts to nanoparticle growth according to the previous urban observations in Mexico, the newly formed particle growth in urban Beijing is dominated by ammonium, sulfate, and organic components in the size-resolved modes (10–25 nm) in springtime. [Display omitted] • The newly formed particle growth in urban Beijing is dominated by ammonium, sulfate, and organic components in springtime. • The contribution of nitrate, protonated methylammonium and protonated C 2 amines to nanoparticles growth is little. • CHO organics account up to ～80% in the growth of the newly formed organic particle with diameters from 10 to 25 nm. [ABSTRACT FROM AUTHOR]

Abstract: The pandemic A/H1N1 influenza viruses emerged in both Mexico and the United States in March 2009, and were transmitted efficiently in the human population. They were transmitted occasionally from humans to other mammals including pigs, dogs and cats. In this study, we report the isolation and genetic analysis of novel viruses in pigs in China. These viruses were related phylogenetically to the pandemic 2009 H1N1 influenza viruses isolated from humans and pigs, which indicates that the pandemic virus is currently circulating in swine populations, and this hypothesis was further supported by serological surveillance of pig sera collected within the same period. Furthermore, we isolated another two H1N1 viruses belonging to the lineages of classical swine H1N1 virus and avian-like swine H1N1 virus, respectively. Multiple genetic lineages of H1N1 viruses are co-circulating in the swine population, which highlights the importance of intensive surveillance for swine influenza in China. [Copyright &y& Elsevier]