scholarly journals Linking Oxidative Events to Inflammatory and Adaptive Gene Expression Induced by Exposure to an Organic Particulate Matter Component

2012 ◽  
Vol 120 (2) ◽  
pp. 267-274 ◽  
Author(s):  
Wan-Yun Cheng ◽  
Jenna Currier ◽  
Philip A. Bromberg ◽  
Robert Silbajoris ◽  
Steven O. Simmons ◽  
...  
Keyword(s):  
Gene Expression ◽  
Particulate Matter ◽  
Organic Particulate Matter ◽  
Matter Component

Effect of particulate matter 2.5 on gene expression profile and cell signaling in JEG-3 human placenta cells

2018 ◽  
Vol 33 (11) ◽  
pp. 1123-1134 ◽  
Author(s):  
Woong Kim ◽  
Yoon Cho ◽  
Mi-Kyung Song ◽  
Jung-hee Lim ◽  
Jin young Kim ◽  
...  
Keyword(s):  
Gene Expression ◽  
Particulate Matter ◽  
Cell Signaling ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Human Placenta ◽  
Particulate Matter 2.5

scholarly journals Relative humidity-dependent viscosity of secondary organic material from toluene photo-oxidation and possible implications for organic particulate matter over megacities

2016 ◽  
Author(s):  
M. Song ◽  
P. F. Liu ◽  
S. J. Hanna ◽  
R. A. Zaveri ◽  
K. Potter ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Relative Humidity ◽  
Diffusion Coefficients ◽  
Organic Material ◽  
Organic Molecules ◽  
Mixing Times ◽  
Organic Particulate Matter ◽  
Photo Oxidation ◽  
Diffusion Rates ◽  
And Diffusion

Abstract. To improve predictions of air quality, visibility, and climate change, knowledge of the viscosities and diffusion rates within organic particulate matter consisting of secondary organic material (SOM) is required.Most qualitative and quantitative measurements of viscosity and diffusion rates within organic particulate matter have focused on SOM particles generated from biogenic VOCs such as α-pinene and isoprene. In this study, we quantify the relative humidity (RH)-dependent viscosities at 295 ± 1 K of SOM produced by photo-oxidation of toluene, an anthropogenic VOC. The viscosities of toluene-derived SOM were 2 × 10−1 to ∼6 × 106 Pa·s from 30 to 90 % RH, and greater than ~2 × 108 Pa·s (similar to or greater than the viscosity of tar pitch) for RH ≤ 17 %. These viscosities correspond to Stokes-Einstein-equivalent diffusion coefficients for large organic molecules of ~2 × 10−15 cm2·s−1 for 30 % RH, and lower than ~3 × 10−17 cm2·s−1 for RH ≤ 17 %. Based on these estimated diffusion coefficients, the mixing time of large organic molecules within 200 nm toluene-derived SOM particles is 0.1–5 hr for 30 % RH, and higher than ~100 hr for RH ≤ 17 %. These results were used, as a first-order approximation, to estimate if organic particulate matter will be in well-mixed over the world's top 15 most populous megacities. If the organic particulate matter in the megacities is similar to the toluene-derived SOM in this study, in Kolkata, Istanbul, Dhaka, Tokyo, Shanghai, and Mumbai, mixing times in organic particulate matter during extended periods of the year will be very short, and well-mixed particles can be assumed. On the other hand, the mixing times of large organic molecules in organic particulate matter in Delhi, Beijing, Mexico City, Cairo, and Karachi may be long and the particles may not be well-mixed in the afternoon (3:00–5:00 local time) during certain times of the year.

scholarly journals Total particulate matter concentration skews cigarette smoke's gene expression profile

2016 ◽  
Vol 2 (4) ◽  
pp. 00029-2016 ◽  
Author(s):  
Anna Dvorkin-Gheva ◽  
Gilles Vanderstocken ◽  
Ali Önder Yildirim ◽  
Corry-Anke Brandsma ◽  
Ma'en Obeidat ◽  
...  
Keyword(s):  
Gene Expression ◽  
Particulate Matter ◽  
Cigarette Smoke ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Smoke Exposure ◽  
Cigarette Smoke Exposure ◽  
Chronic Obstructive ◽  
Total Particulate Matter ◽  
Xenobiotic Detoxification

Exposure of small animals to cigarette smoke is widely used as a model to study the pathogenesis of chronic obstructive pulmonary disease. However, protocols and exposure systems utilised vary substantially and it is unclear how these different systems compare.We analysed the gene expression profile of six publically available murine datasets from different cigarette smoke-exposure systems and related the gene signatures to three clinical cohorts.234 genes significantly regulated by cigarette smoke in at least one model were used to construct a 55-gene network containing 17 clusters. Increasing numbers of differentially regulated clusters were associated with higher total particulate matter concentrations in the different datasets. Low total particulate matter-induced genes mainly related to xenobiotic/detoxification responses, while higher total particulate matter activated immune/inflammatory processes in addition to xenobiotic/detoxification responses. To translate these observations to the clinic, we analysed the regulation of the revealed network in three human cohorts. Similar to mice, we observed marked differences in the number of regulated clusters between the cohorts. These differences were not determined by pack-year.Although none of the experimental models exhibited a complete alignment with any of the human cohorts, some exposure systems showed higher resemblance. Thus, depending on the cohort, clinically observed changes in gene expression may be mirrored more closely by specific cigarette smoke exposure systems. This study emphasises the need for careful validation of animal models.

scholarly journals Highly Viscous States Affect the Browning of Atmospheric Organic Particulate Matter

2018 ◽  
Vol 4 (2) ◽  
pp. 207-215 ◽  
Author(s):  
Pengfei Liu ◽  
Yong Jie Li ◽  
Yan Wang ◽  
Adam P. Bateman ◽  
Yue Zhang ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Organic Particulate Matter

scholarly journals Marine Alga Ecklonia cava Extract and Dieckol Attenuate Prostaglandin E2 Production in HaCaT Keratinocytes Exposed to Airborne Particulate Matter

Antioxidants ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 190 ◽  
Author(s):  
Jae Won Ha ◽  
Hyerim Song ◽  
Seong Su Hong ◽  
Yong Chool Boo
Keyword(s):  
Oxidative Stress ◽  
Gene Expression ◽  
Particulate Matter ◽  
Prostaglandin E2 ◽  
Pge2 Production ◽  
Ecklonia Cava ◽  
Epidermal Keratinocytes ◽  
Hacat Keratinocytes ◽  
Cox 2 ◽  
Cox 1

Atmospheric particulate matter (PM) is an important cause of skin damage, and an increasing number of studies have been conducted to discover safe, natural materials that can alleviate the oxidative stress and inflammation caused by PM. It has been previously shown that the extract of Ecklonia cava Kjellman, a perennial brown macroalga, can alleviate oxidative stress in epidermal keratinocytes exposed to PM less than 10 microns in diameter (PM10). The present study was undertaken to further examine the anti-inflammatory effects of E. cava extract and its major polyphenolic constituent, dieckol. HaCaT keratinocytes were exposed to PM10 in the presence or absence of E. cava extract or dieckol and analyzed for their viability, prostaglandin E2 (PGE2) release, and gene expression of cyclooxygenase (COX)-1, COX-2, microsomal prostaglandin E2 synthase (mPGES)-1, mPGES-2, and cytosolic prostaglandin E2 synthase (cPGES). PM10 treatment decreased cell viability and increased the production of PGE2, and these changes were partially abrogated by E. cava extract. E. cava extract also attenuated the expression of COX-1, COX-2, and mPGES-2 stimulated by PM10. Dieckol attenuated PGE2 production and the gene expression of COX-1, COX-2, and mPGES-1 stimulated by PM10. This study demonstrates that E. cava extract and dieckol alleviate airborne PM10-induced PGE2 production in keratinocytes through the inhibition of gene expression of COX-1, COX-2, mPGES-1, and/or mPGES-2. Thus, E. cava extract and dieckol are potentially useful natural cosmetic ingredients for counteracting the pro-inflammatory effects of airborne PM.

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