| Literature DB >> 29988900 |
Jin-Zhun Wu1, Dan-Dan Ge2,3, Lin-Fu Zhou4, Ling-Yun Hou3, Ying Zhou3,5, Qi-Yuan Li2,3,5.
Abstract
The health impact of airborne particulate matter (PM) has long been a concern to clinicians, biologists, and the general public. With many epidemiological studies confirming the association of PM with allergic respiratory diseases, an increasing number of follow-up empirical studies are being conducted to investigate the mechanisms underlying the toxic effects of PM on asthma and allergic rhinitis. In this review, we have briefly introduced the characteristics of PM and discussed its effects on public health. Subsequently, we have focused on recent studies to elucidate the association between PM and the allergic symptoms of human respiratory diseases. Specifically, we have discussed the mechanism of action of PM in allergic respiratory diseases according to different subtypes: coarse PM (PM2.5-10), fine PM (PM2.5), and ultrafine PM.Entities:
Keywords: Allergic respiratory diseases; Coarse PM; Fine PM; Particulate matter; Ultrafine PM
Year: 2018 PMID: 29988900 PMCID: PMC6034084 DOI: 10.1016/j.cdtm.2018.04.001
Source DB: PubMed Journal: Chronic Dis Transl Med ISSN: 2095-882X
Representative epidemiological studies of the association between particulate matter concentrations and hospital visits due to respiratory diseases.
| References | Study | Location | Time | PM | Analysis | Population | Diseases | Findings | |
|---|---|---|---|---|---|---|---|---|---|
| 9 | Impact of PM on human health within the urban environment | Athens, Greece | 2001–2013 | PM10 | AirQ2.2.3 model | All ages | HARD | A strong relationship between the HARD cases and PM10 exposure levels | – |
| 10 | Effects of PM on respiratory disease | Busan, Korea | 2007–2010 | PM2.5 | Multivariate analysis | All ages | HARD | A significant increase in HARD with increasing PM levels | |
| PM10 | |||||||||
| 11 | Associations between air pollutants and pediatric asthma hospital admissions | New York, USA | 1999–2009 | PM2.5 | Generalized additive models | 6–18 years | Asthma HAs | PM2.5was statistically significantly associated with increased asthma HAs | |
| 12 | Correlation between air pollution and children's asthma-related emergency hospital visits | Southeastern France | 2013 | PM10 | Nested case–control study | 3–18 years | Children's asthma ERVs | PM10 near children's homes increased the risk of asthma ERVs | |
| 13 | Correlation between PM10/PM2.5 and outpatient visits for respiratory disease | Jinan, China | 2013–2015 | PM2.5 | Generalized additive model | All ages | Respiratory diseases | Ambient PM10 and PM2.5 pollution was positively associated with daily hospital visits due to respiratory disease | |
| PM10 | |||||||||
| 14 | Effects of fine PM on emergency room visits for asthma | Southern Taiwan, China | 2008–2010 | PM2.5 | Quasi-Poisson generalized additive model | Children | Hospital ERVs for asthma | Children were susceptible to the effects of PM2.5 | |
| 15 | Effects of exposure to indoor PM on symptoms and acute exacerbations in COPD patients | Southwestern Taiwan, China | 2014–2016 | PM10 | Generalized estimating equation analysis | All ages | Admission due to acute exacerbation of COPD | PM was associated with worse respiratory symptoms and increased risk of COPD exacerbation in patients with moderate to very severe COPD | |
| 16 | Correlation between fine particulate air pollution and hospital visits for asthma | Beijing, China | 2010–2012 | PM2.5 | Generalized additive Poisson model | All ages | Asthma HVs | Short-term elevations may increase the risk of asthma exacerbation | |
| Asthma OVs | |||||||||
| Asthma ERVs |
PM: particulate matter; RR: relative risk (the relative risk of increased hospital visits with a 10 μg/m3 increment of PM); OR: odds ratio; IR: increase ratio (the increase ratio of hospital visits with a 10 μg/m3 increment of PM2.5); CI: confidence interval; HARD: hospital admissions for respiratory diseases; HAs: hospital admissions; ERVs: emergency room visits; COPD: chronic obstructive pulmonary disease; HVs: Hospital visits; OVs: Outpatient visits; –: not applicable.
Fig. 1Different pathways of PM toxicity and their mechanisms in allergic respiratory diseases. (A) PM2.5-10 activates neutrophils and eosinophils; (B) PM2.5 induces antigen-presenting cell-mediated inflammatory responses; (C) PM2.5 induces oxidative stress; (D) PM2.5 leads to apoptosis and autophagy; and (E) PM2.5 causes imbalance of T helper cells. PM: particulate matter; NE: neutrophils; EOS: eosinophils; IL: interleukin; H1R: H1 receptor; GM-CSF: granulocyte-macrophage colony stimulating factor; TNF: tumor necrosis factor; COX-2: cyclooxygenase-2; PI3K: phosphatidylinositol-4,5-bisphosphate 3-kinase; PIP2: phosphatidylinositol (4,5)-bisphosphate; PIP3: phosphatidylinositol (3,4,5)-trisphosphate; PTEN: phosphatase and tensin homolog; NrF2: nuclear factor (erythroid-derived 2)-like 2; PDK1: phosphoinositide-dependent kinase-1; Akt: protein kinase B; PKB: protein kinase B; GCLC: glutamate-cysteine ligase catalytic subunit; HO-1: heme oxygenase-1; NQO-1: NADPH quinone oxidoreductase; GSK-3β: glycogen synthase kinase-3 beta; Caspase: cysteine aspartic acid protease; Rac1: ras-related C3 botulinum toxin substrate 1; p70s6k: p70 ribosomal protein S6 kinase; mdm2: Mouse double minute 2 homolog; APC: antigen-presenting cell; CD: cluster of differentiation; CR3: complement receptor 3; LC3A/B: light chain 3A/B; IFN-γ: interferon-gamma; ST2: IL-33 receptor; Th: T-helper; UFP: ultrafine particulate matter.