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Percival E, Collison AM, da Silva Sena CR, De Queiroz Andrade E, De Gouveia Belinelo P, Gomes GMC, Oldmeadow C, Murphy VE, Gibson PG, Karmaus W, Mattes J. The association of exhaled nitric oxide with air pollutants in young infants of asthmatic mothers. Environ Health 2023; 22:84. [PMID: 38049853 PMCID: PMC10696885 DOI: 10.1186/s12940-023-01030-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 11/08/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Exhaled nitric oxide is a marker of airway inflammation. Air pollution induces airway inflammation and oxidative stress. Little is known about the impact of air pollution on exhaled nitric oxide in young infants. METHODS The Breathing for Life Trial recruited pregnant women with asthma into a randomised controlled trial comparing usual clinical care versus inflammometry-guided asthma management in pregnancy. Four hundred fifty-seven infants from the Breathing for Life Trial birth cohort were assessed at six weeks of age. Exhaled nitric oxide was measured in unsedated, sleeping infants. Its association with local mean 24-h and mean seven-day concentrations of ozone, nitric oxide, nitrogen dioxide, carbon monoxide, sulfur dioxide, ammonia, particulate matter less than 10 μm (PM10) and less than 2.5 μm (PM2.5) in diameter was investigated. The air pollutant data were sourced from local monitoring sites of the New South Wales Air Quality Monitoring Network. The association was assessed using a 'least absolute shrinkage and selection operator' (LASSO) approach, multivariable regression and Spearman's rank correlation. RESULTS A seasonal variation was evident with higher median exhaled nitric oxide levels (13.6 ppb) in warmer months and lower median exhaled nitric oxide levels (11.0 ppb) in cooler months, P = 0.008. LASSO identified positive associations for exhaled nitric oxide with 24-h mean ammonia, seven-day mean ammonia, seven-day mean PM10, seven-day mean PM2.5, and seven-day mean ozone; and negative associations for eNO with seven-day mean carbon monoxide, 24-h mean nitric oxide and 24-h mean sulfur dioxide, with an R-square of 0.25 for the penalized coefficients. These coefficients selected by LASSO (and confounders) were entered in multivariable regression. The achieved R-square was 0.27. CONCLUSION In this cohort of young infants of asthmatic mothers, exhaled nitric oxide showed seasonal variation and an association with local air pollution concentrations.
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Affiliation(s)
- Elizabeth Percival
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Adam M Collison
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Carla Rebeca da Silva Sena
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Ediane De Queiroz Andrade
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Patricia De Gouveia Belinelo
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Gabriela Martins Costa Gomes
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | | | - Vanessa E Murphy
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
| | - Peter G Gibson
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia
- Department of Respiratory and Sleep Medicine, John Hunter Hospital, Newcastle, NSW, Australia
| | - Wilfried Karmaus
- Division of Epidemiology, School of Public Health, and Environmental Health Science, University of Memphis, BiostatisticsMemphis, TN, 38152, USA
| | - Joerg Mattes
- Asthma & Breathing Research Centre, Hunter Medical Research Institute, University of Newcastle, Newcastle, NSW, Australia.
- Department of Paediatric Respiratory & Sleep Medicine, John Hunter Children's Hospital, Newcastle, NSW, Australia.
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Ruan Y, Yuan PP, Li PY, Chen Y, Fu Y, Gao LY, Wei YX, Zheng YJ, Li SF, Feng WS, Zheng XK. Tingli Dazao Xiefei Decoction ameliorates asthma in vivo and in vitro from lung to intestine by modifying NO-CO metabolic disorder mediated inflammation, immune imbalance, cellular barrier damage, oxidative stress and intestinal bacterial disorders. JOURNAL OF ETHNOPHARMACOLOGY 2023; 313:116503. [PMID: 37116727 DOI: 10.1016/j.jep.2023.116503] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/01/2023] [Accepted: 04/15/2023] [Indexed: 05/12/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Asthma is a chronic airway inflammatory disease. Current treatment of mainstream medications has significant side effects. There is growing evidence that the refractoriness of asthma is closely related to common changes in the lung and intestine. The lungs and intestines, as sites of frequent gas exchange in the body, are widely populated with gas signaling molecules NO and CO, which constitute NO-CO metabolism and may be relevant to the pathogenesis of asthma in the lung and intestine. The Chinese herbal formula Tingli Dazao Xiefei Decoction (TD) is commonly used in clinical practice to treat asthma with good efficacy, but there are few systematic evaluations of the efficacy of asthma on NO-CO metabolism, and the mode of action of its improving effect on the lung and intestine is unclear. AIM OF THE STUDY To investigate the effect of TD on the lung and intestine of asthmatic rats based on NO-CO metabolism. MATERIALS AND METHODS In vivo, we established a rat asthma model by intraperitoneal injection of sensitizing solution with OVA atomization, followed by intervention by gavage administration of TD. We simultaneously examined alterations in basal function, pathology, NO-CO metabolism, inflammation and immune cell homeostasis in the lungs and intestines of asthmatic rats, and detected changes in intestinal flora by macrogenome sequencing technology, with a view to multi-angle evaluation of the treatment effects of TD on asthmatic rats. In vitro, lung cells BEAS-2B and intestinal cells NCM-460 were used to establish a model of lung injury causing intestinal injury using LPS and co-culture chambers, and lung cells or intestinal cells TD-containing serum was administered to intervene. Changes in inflammatory, NO-CO metabolism-related, cell barrier-related and oxidative stress indicators were measured in lung cells and intestinal cells to evaluate TD on intestinal injury by way of amelioration and in-depth mechanism. RESULTS In vivo, our results showed significant basal functional impairment in the lung and intestine of asthmatic rats, and an inflammatory response, immune cell imbalance and intestinal flora disturbance elicited by NO-CO metabolic disorders were observed (P < 0.05 or 0.01). The administration of TD was shown to deliver a multidimensional amelioration of the impairment induced by NO-CO metabolic disorders (P < 0.05 or 0.01). In vitro, the results showed that LPS-induced lung cells BEAS-2B injury could cause NO-CO metabolic disorder-induced inflammatory response, cell permeability damage and oxidative stress damage in intestinal cells NCM-460 (P < 0.01). The ameliorative effect on intestinal cells NCM-460 could only be exerted when TD-containing serum interfered with lung cells BEAS-2B (P < 0.01), suggesting that the intestinal ameliorative effect of TD may be exerted indirectly through the lung. CONCLUSION TD can ameliorate NO-CO metabolism in the lung and thus achieve the indirectly amelioration of NO-CO metabolism in the intestine, ultimately achieving co-regulation of lung and intestinal inflammation, immune imbalance, cellular barrier damage, oxidative stress and intestinal bacterial disorders in asthma in vivo and in vitro. Targeting lung and intestinal NO-CO metabolic disorders in asthma may be a new therapeutic idea and strategy for asthma.
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Affiliation(s)
- Yuan Ruan
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China.
| | - Pei-Pei Yuan
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China; The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou, 450046, PR China.
| | - Pan-Ying Li
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China.
| | - Yi Chen
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China.
| | - Yang Fu
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China.
| | - Li-Yuan Gao
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China.
| | - Ya-Xin Wei
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China.
| | - Ya-Juan Zheng
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China.
| | - Sai-Fei Li
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China.
| | - Wei-Sheng Feng
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China; The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou, 450046, PR China; Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan Province & Education Ministry of P. R., Zhengzhou, 450008, China.
| | - Xiao-Ke Zheng
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450008, China; The Engineering and Technology Center for Chinese Medicine Development of Henan Province, Zhengzhou, 450046, PR China; Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan Province & Education Ministry of P. R., Zhengzhou, 450008, China.
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Song J, Qiu W, Huang X, Guo Y, Chen W, Wang D, Zhang X. Association of ambient carbon monoxide exposure with hospitalization risk for respiratory diseases: A time series study in Ganzhou, China. Front Public Health 2023; 11:1106336. [PMID: 36866098 PMCID: PMC9972102 DOI: 10.3389/fpubh.2023.1106336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 01/23/2023] [Indexed: 02/16/2023] Open
Abstract
Background Ambient carbon monoxide (CO) exposure is associated with increased mortality and hospitalization risk for total respiratory diseases. However, evidence on the risk of hospitalization for specific respiratory diseases from ambient CO exposure is limited. Methods Data on daily hospitalizations for respiratory diseases, air pollutants, and meteorological factors from January 2016 to December 2020 were collected in Ganzhou, China. A generalized additive model with the quasi-Poisson link and lag structures was used to estimate the associations between ambient CO concentration and hospitalizations of total respiratory diseases, asthma, chronic obstructive pulmonary disease (COPD), upper respiratory tract infection (URTI), lower respiratory tract infection (LRTI), and influenza-pneumonia. Possible confounding co-pollutants and effect modification by gender, age, and season were considered. Results A total of 72,430 hospitalized cases of respiratory diseases were recorded. Significant positive exposure-response relationships were observed between ambient CO exposure and hospitalization risk from respiratory diseases. For each 1 mg/m3 increase in CO concentration (lag0-2), hospitalizations for total respiratory diseases, asthma, COPD, LRTI, and influenza-pneumonia increased by 13.56 (95% CI: 6.76%, 20.79%), 17.74 (95% CI: 1.34%, 36.8%), 12.45 (95% CI: 2.91%, 22.87%), 41.25 (95% CI: 18.19%, 68.81%), and 13.5% (95% CI: 3.41%, 24.56%), respectively. In addition, the associations of ambient CO with hospitalizations for total respiratory diseases and influenza-pneumonia were stronger during the warm season, while women were more susceptible to ambient CO exposure-associated hospitalizations for asthma and LRTI (all P < 0.05). Conclusion In brief, significant positive exposure-response relationships were found between ambient CO exposure and hospitalization risk for total respiratory diseases, asthma, COPD, LRTI, and influenza-pneumonia. Effect modification by season and gender was found in ambient CO exposure-associated respiratory hospitalizations.
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Affiliation(s)
- Jiahao Song
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Weihong Qiu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuezan Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - You Guo
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China,Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China,School of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China,*Correspondence: Dongming Wang ✉
| | - Xiaokang Zhang
- First Affiliated Hospital, Gannan Medical University, Ganzhou, China,Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, China,School of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China,Xiaokang Zhang ✉
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Gonzalez A, Boies A, Swanson J, Kittelson D. Measuring the Air Quality Using Low-Cost Air Sensors in a Parking Garage at University of Minnesota, USA. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15223. [PMID: 36429940 PMCID: PMC9690026 DOI: 10.3390/ijerph192215223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
The concentration of air pollutants in underground parking garages has been found to be higher compared to ambient air. Vehicle emissions from cold starts are the main sources of air pollution in underground parking garages. Eight days of measurements, using low-cost air sensors, were conducted at one underground parking garage at the University of Minnesota, Minneapolis. The CO, NO, NO2, and PM2.5 daily average concentrations in the parking garage were measured to be higher, by up to more than an order of magnitude, compared to the ambient concentration. There is positive correlation between exit traffic flow and the air concentrations in the parking garage for lung deposited surface area (LDSA), CO2, NO, and CO. Fuel specific emission factors were calculated for CO, NO, and NOx. Ranging from 25 to 28 g/kgfuel for CO, from 1.3 to 1.7 g/kgfuel for NO, and from 2.1 to 2.7 g/kgfuel for NOx. Regulated emissions were also calculated for CO and NOx with values of 2.4 to 2.9 and 0.19 to 0.25 g/mile, respectively. These emissions are about 50% higher than the 2017 U.S. emission standards for CO and nearly an order magnitude higher for NOx.
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Affiliation(s)
- Andres Gonzalez
- Department of Civil, Environmental, and Geo-Engineering, University of Minnesota, Minneapolis, MN 55455, USA
| | - Adam Boies
- Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
| | - Jacob Swanson
- Department of Integrated Engineering, Minnesota State University, Mankato, MN 56001, USA
| | - David Kittelson
- Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
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Chen P, Yuan Z, Miao L, Yang L, Wang H, Xu D, Lin Z. Acute cardiorespiratory response to air quality index in healthy young adults. ENVIRONMENTAL RESEARCH 2022; 214:113983. [PMID: 35948148 DOI: 10.1016/j.envres.2022.113983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 06/27/2022] [Accepted: 07/22/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Little is known about the acute health impacts of air quality index (AQI) on cardiorespiratory risk factors. OBJECTIVES To assess the short-term links of AQI with cardiorespiratory risk factors in young healthy adults. METHODS We performed a longitudinal panel study with 4 repeated visits in 40 healthy young adults in Hefei, Anhui Province, China from August to October 2021. Cardiorespiratory factors included systolic blood pressure (BP), diastolic BP (DBP), mean arterial pressure (MAP) and fractional exhaled nitric oxide (FeNO). We collected hourly AQI data from a nearby air quality monitoring site. Linear mixed-effects model was applied to assess the effects of AQI on BP and FeNO. RESULTS The study participants (75.0% females) provided 160 pairs of valid health measurements with average age of 24 years. The mean AQI level was 44.43 during the study period. There were significant positive associations of AQI with three BP parameters and FeNO at different lag periods. For example, an interquartile range increase in AQI (26.54 unit) over lag 0-24 h was associated with increments of 6.69 mmHg (95%CI: 2.95-10.44), 5.71 mmHg (95%CI: 3.30-8.13), 6.04 mmHg (95%CI: 3.46-8.62) and 5.67% (95%CI: 1.05%-16.05%) in SBP, DBP, MAP and FeNO, respectively. The results were robust after controlling for PM1. We did not find effect modifications by gender, BMI, physical activity, or AQI category level on the associations. CONCLUSIONS The current findings on associations of AQI with cardiorespiratory factors might add evidence of the acute adverse cardiorespiratory consequences following air pollution.
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Affiliation(s)
- Ping Chen
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Zhi Yuan
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Lin Miao
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Liyan Yang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Hua Wang
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230032, China
| | - Dexiang Xu
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230032, China.
| | - Zhijing Lin
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, 230032, China; Key Laboratory of Environmental Toxicology of Anhui Higher Education Institutes, Anhui Medical University, Hefei, 230032, China.
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Zhang Z, Zhang H, Yang L, Chen X, Norbäck D, Zhang X. Associations between outdoor air pollution, ambient temperature and fraction of exhaled nitric oxide (FeNO) in university students in northern China - A panel study. ENVIRONMENTAL RESEARCH 2022; 212:113379. [PMID: 35513063 DOI: 10.1016/j.envres.2022.113379] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 03/31/2022] [Accepted: 04/25/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Northern China has severe air pollution, especially in winter. Fractional exhaled nitric oxide (FeNO) is an established biomarker of airway inflammation. AIM To study associations between ambient temperature, air pollution and FeNO in university students in northern China. METHODS We performed a panel study in 67 university students without asthma diagnosis in the city of Taiyuan. FeNO was measured 6 times, over one heating season. Outdoor PM10, PM2.5, SO2, NO2 and O3 were measured at a fixed location in the campus. SO2, NO2 and O3 were measured 7 days (24 h/day) before the FeNO test. PM2.5 and PM10 were measured at different lag times (lag 1 day to lag 7 days). Temperature and carbon monoxide (CO) data were collected from a nearby monitoring station (lag 7). Linear mixed models were applied to study associations between exposure and FeNO, adjusting for gender, age, current smoking, height and furry pet or pollen allergy. RESULTS The overall geometric mean (GM) of FeNO was 17.2 ppb. GM of FeNO was lowest (12.9 ppb) in January and highest (20.0 ppb) in April. The range of lag 7 pollution was 105.0-339.0 μg/m3 for PM10, 72.0-180.0 μg/m3 for PM2.5, 36.0-347.0 μg/m3 for SO2, 26.0-69.0 μg/m3 for NO2, 31.0-163.0 μg/m3 for O3 and 0.93-3.14 mg/m3 for CO. The lag 7 temperature ranged from -4.5 to 20.1 °C. FeNO was consistently higher at higher outdoor temperature (p < 0.001). In multi-pollutant models with temperature adjustment, PM10, PM2.5 and SO2 were associated with FeNO (all p-values <0.001). In contrast, CO was negatively associated (protective) with FeNO (p < 0.001). Associations between exposure and FeNO were similar in men and women. CONCLUSION PM10, PM2.5 and SO2 and outdoor temperature can be associated with airway inflammation, measured as FeNO, in young adults in northern China while CO could be negatively associated with FeNO.
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Affiliation(s)
- Zefei Zhang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, China; Institute of Environmental Science, Shanxi Laboratory for Yellow River, Shanxi University, Taiyuan, China
| | - Huilin Zhang
- Institute of Environmental Science, Shanxi Laboratory for Yellow River, Shanxi University, Taiyuan, China
| | - Liu Yang
- Institute of Environmental Science, Shanxi Laboratory for Yellow River, Shanxi University, Taiyuan, China
| | - Xingyi Chen
- Institute of Environmental Science, Shanxi Laboratory for Yellow River, Shanxi University, Taiyuan, China
| | - Dan Norbäck
- Institute of Environmental Science, Shanxi Laboratory for Yellow River, Shanxi University, Taiyuan, China; Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
| | - Xin Zhang
- Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control, School of Environmental Science and Engineering, Institute of Environmental Health and Pollution Control, Guangdong University of Technology, Guangzhou, China; Institute of Environmental Science, Shanxi Laboratory for Yellow River, Shanxi University, Taiyuan, China.
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Zhang L, Li X, Chen H, Wu Z, Hu M, Yao M. Haze Air Pollution Health Impacts of Breath-Borne VOCs. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:8541-8551. [PMID: 35559607 DOI: 10.1021/acs.est.2c01778] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Here, we investigated the use of breath-borne volatile organic compounds (VOCs) for rapid monitoring of air pollution health effects on humans. Forty-seven healthy college students were recruited, and their exhaled breath samples (n = 235) were collected and analyzed for VOCs before, on, and after two separate haze pollution episodes using gas chromatography-ion mobility spectrometry (GC-IMS). Using a paired t-test and machine learning model (Gradient Boosting Machine, GBM), six exhaled VOC species including propanol and isoprene were revealed to differ significantly among pre-, on-, and post-exposure in both haze episodes, while none was found between clean control days. The GBM model was shown capable of differentiating between pre- and on-exposure to haze pollution with a precision of 90-100% for both haze episodes. However, poor performance was detected for the same model between two different clean days. In addition to gender and particular haze occurrence influences, correlation analysis revealed that NH4+, NO3-, acetic acid, mesylate, CO, NO2, PM2.5, and O3 played important roles in the changes in breath-borne VOC fingerprints following haze air pollution exposure. This work has demonstrated direct evidence of human health impacts of haze pollution while identifying potential breath-borne VOC biomarkers such as propanol and isoprene for haze air pollution exposure.
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Affiliation(s)
- Lu Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Xinyue Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Haoxuan Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Zhijun Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Min Hu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Maosheng Yao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
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Fatima S, Ahlawat A, Mishra SK, Soni VK, Guleria R. Respiratory Deposition Dose of PM2.5 and PM10 Before, During and After COVID-19 Lockdown Phases in Megacity-Delhi, India. MAPAN 2022. [PMCID: PMC9081966 DOI: 10.1007/s12647-022-00548-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Considerable changes in particulate matter (PM) during COVID-19 lockdown in major cities around the World demand changes in exposure assessment studies of PM. The present study shows variations in respiratory deposition dose (RDD) of both fine (PM2.5) and coarse (PM10) particles before, during and after Covid-19 lockdown phases at three sites (with different pollution signatures) in Delhi—Alipur, Okhla and Pusa Road. Exposure assessment study showed mean PM2.5 RDD (± S.D.) (µg/min) for walk and sit mode during before lockdown (BL) as 2.41(± 1.20) and 0.84(± 0.42) for Alipur, 2.71(± 1.60) and 0.94(± 0.56) for Okhla, and 2.54(± 1.28) and 0.88(± 0.44) for Pusa road, which decreased drastically during Lockdown 1(L1) as 0.85(± 0.35) and 0.30(± 0.12) for Alipur, 0.83(± 0.33) and 0.29(± 0.11) for Okhla, and 0.68(± 0.28) and 0.23(± 0.10) for Pusa road, respectively. Mean PM10 RDD (± S.D.) (µg/min) for walk and sit mode during before lockdown (BL) as 3.90 (± 1.73) and 1.36 (± 0.60) for Alipur, 4.74 (± 2.04) and 1.65 (± 0.71) for Okhla, and 4.25 (± 1.69) and 1.48 (± 0.59) for Pusa Road, respectively which decreased drastically during Lockdown 1(L1) as 2.19 (± 0.95) and 0.76 (± 0.33) for Alipur, 1.73 (± 0.67) and 0.60 (± 0.23) for Okhla and, 1.45 (± 0.50) and 0.50 (± 0.17) for Pusa Road, respectively. Significant decrease in RDD concentrations (Both PM2.5 and PM10) than that of BL phase have been found during Lockdown 1(L1) phase and other successive lockdown and unlock phases—Lockdown 2(L2), Lockdown 3(L3), Lockdown 4(L4) and Unlock1 (UL1) phases. Changes in RDD values during lockdown phases were affected by lesser traffic emission, minimized industrial activities, biomass burning activities, precipitation activities, etc. Seasonal variations of RDD showed Delhites are found exposed to more fine and coarse particles’ RDD (walk and sit modes) before and after lockdown, i.e. during normal days than during lockdown phases showing potential health effects. People in sit condition found less exposed to fine and coarse RDD comparison to those in walk condition both during normal and lockdown days.
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Affiliation(s)
- Sadaf Fatima
- CSIR-National Physical Laboratory, New Delhi, 110012 India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002 India
| | - Ajit Ahlawat
- Leibniz Institute for Tropospheric Research (TROPOS), 04318 Permoserstraße, Leipzig, Germany
| | - Sumit Kumar Mishra
- CSIR-National Physical Laboratory, New Delhi, 110012 India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002 India
| | - Vijay Kumar Soni
- India Meteorological Department, Ministry of Earth Sciences, New Delhi, 110003 India
| | - Randeep Guleria
- All India Institute of Medical Sciences, New Delhi, 110029 India
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9
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Czubaj-Kowal M, Kurzawa R, Mazurek H, Sokołowski M, Friediger T, Polak M, Nowicki GJ. Relationship Between Air Pollution and the Concentration of Nitric Oxide in the Exhaled Air (FeNO) in 8-9-Year-Old School Children in Krakow. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18136690. [PMID: 34206247 PMCID: PMC8296872 DOI: 10.3390/ijerph18136690] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 06/13/2021] [Accepted: 06/20/2021] [Indexed: 11/16/2022]
Abstract
The consequences of air pollution pose one of the most serious threats to human health, and especially impact children from large agglomerations. The measurement of nitric oxide concentration in exhaled air (FeNO) is a valuable biomarker in detecting and monitoring airway inflammation. However, only a few studies have assessed the relationship between FeNO and the level of air pollution. The study aims to estimate the concentration of FeNO in the population of children aged 8–9 attending the third grade of public primary schools in Krakow, as well as to determine the relationship between FeNO concentration and dust and gaseous air pollutants. The research included 4580 children aged 8–9 years who had two FeNO measurements in the winter–autumn and spring–summer periods. The degree of air pollution was obtained from the Regional Inspectorate of Environmental Protection in Krakow. The concentration of pollutants was obtained from three measurement stations located in different parts of the city. The FeNO results were related to air pollution parameters. The study showed weak but significant relationships between FeNO and air pollution parameters. The most significant positive correlations were found for CO8h (r = 0.1491, p < 0.001), C6H6 (r = 0.1420, p < 0.001), PM10 (r = 0.1054, p < 0.001) and PM2.5 (r = 0.1112, p < 0.001). We suggest that particulate and gaseous air pollutants impact FeNO concentration in children aged 8–9 years. More research is needed to assess the impact of air pollution on FeNO concentration in children. The results of such studies could help to explain the increase in the number of allergic and respiratory diseases seen in children in recent decades.
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Affiliation(s)
- Marta Czubaj-Kowal
- Department of Paediatrics, Stefan Żeromski Specialist Hospital in Krakow, Na Skarpie 66 Str., PL-31-913 Krakow, Poland;
- Correspondence: ; Tel.: +48-604-433-428
| | - Ryszard Kurzawa
- Department of Alergology and Pneumonology, Institute of Tuberculosis and Lung Disorders, Prof. Jana Rudnika 3B Str., PL-34-700 Rabka-Zdrój, Poland;
| | - Henryk Mazurek
- Department of Pneumonology and Cystic Fibrosis, Institute of Tuberculosis and Lung Disorders, Prof. Jana Rudnika 3B Str., PL-34-700 Rabka-Zdrój, Poland;
| | - Michał Sokołowski
- Department of Paediatrics, Stefan Żeromski Specialist Hospital in Krakow, Na Skarpie 66 Str., PL-31-913 Krakow, Poland;
| | - Teresa Friediger
- Faculty of Health, Catholic University in Ruzomberok, Námestie A. Hlinku 48 Str., SK-034 01 Ruzomberok, Slovakia;
| | - Maciej Polak
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Grzegórzecka 20 Str., PL-31-531 Krakow, Poland;
| | - Grzegorz Józef Nowicki
- Department of Family Medicine and Community Nursing, Medical University of Lublin, Staszica 6 Str., PL-20-081 Lublin, Poland;
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10
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Yao Y, Chen X, Chen W, Wang Q, Fan Y, Han Y, Wang T, Wang J, Qiu X, Zheng M, Que C, Zhu T. Susceptibility of individuals with chronic obstructive pulmonary disease to respiratory inflammation associated with short-term exposure to ambient air pollution: A panel study in Beijing. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 766:142639. [PMID: 33069482 DOI: 10.1016/j.scitotenv.2020.142639] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 09/24/2020] [Accepted: 09/26/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide. There is no clear evidence of whether COPD patients are more susceptible to respiratory inflammation associated with short-term exposure to air pollutants than those without COPD. OBJECTIVES This study directly compared air pollutant-associated respiratory inflammation between COPD patients and healthy controls. METHODS This study is based on the COPDB panel study (COPD in Beijing). Fractional exhaled nitric oxide (FeNO) was repeatedly measured in 53 COPD patients and 82 healthy controls at up to four clinical visits. Concentrations of carbon monoxide (CO), nitrogen monoxide, nitrogen dioxide (NO2), sulfur dioxide (SO2), fine particulate matter (PM2.5), black carbon (BC), ultrafine particles (UFPs), and accumulated-mode particles (Acc) were monitored continuously at a fixed-site monitoring station. Linear mixed-effects models were used to compare the associations between ln-transformed FeNO and average 1-23 h concentrations of air pollutants before the clinical visits. RESULTS FeNO was positively associated with interquartile range (IQR) increases in average concentrations of CO, NO2, SO2, BC, UFPs, and Acc in all participants, with the strongest associations in different time-windows (range from 6.6% for average 1 h NO2 exposure to 32.1% for average 7 h SO2 exposure). Associations between FeNO and average 13-23 h PM2.5 exposure differed significantly according to COPD status. Increases in FeNO associated with average 1-2 h NO exposure were significant in COPD patients (range 8.9-10.2%), while the associations were nonsignificant in healthy controls. Associations between FeNO and average 1-23 h CO and SO2 exposure tended to be higher in COPD patients than in healthy controls, although the differences were not significant. UFPs-associated respiratory inflammation was robust in both subgroups. CONCLUSIONS COPD patients are more susceptible to respiratory inflammation following PM2.5, NO, CO, and SO2 exposure than individuals without COPD.
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Affiliation(s)
- Yuan Yao
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Xi Chen
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; GRiC, Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China.
| | - Wu Chen
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Qi Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yunfei Fan
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Yiqun Han
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London, UK.
| | - Teng Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Junxia Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Xinghua Qiu
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Mei Zheng
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
| | - Chengli Que
- Peking University First Hospital, Peking University, Beijing, China.
| | - Tong Zhu
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
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11
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Chen X, Liu F, Niu Z, Mao S, Tang H, Li N, Chen G, Liu S, Lu Y, Xiang H. The association between short-term exposure to ambient air pollution and fractional exhaled nitric oxide level: A systematic review and meta-analysis of panel studies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 265:114833. [PMID: 32544661 DOI: 10.1016/j.envpol.2020.114833] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 05/15/2020] [Accepted: 05/16/2020] [Indexed: 05/27/2023]
Abstract
Several epidemiological studies have evaluated the fractional exhaled nitric oxide (FeNO) of ambient air pollution but the results were controversial. We therefore conducted a systematic review and meta-analysis to investigate the associations between short-term exposure to air pollutants and FeNO level. We searched PubMed and Web of Science and included a total of 27 articles which focused on associations between ambient air pollutants (PM10, PM2.5, black carbon (BC), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3)) exposure and the change of FeNO. Random effect model was used to calculate the percent change of FeNO in association with a 10 or 1 μg/m3 increase in air pollutants exposure concentrations. A 10 μg/m3 increase in short-term PM10, PM2.5, NO2, and SO2 exposure was associated with a 3.20% (95% confidence interval (95%CI): 1.11%, 5.29%), 2.25% (95%CI: 1.51%, 2.99%),4.90% (95%CI: 1.98%, 7.81%), and 8.28% (95%CI: 3.61%, 12.59%) change in FeNO, respectively. A 1 μg/m3 increase in short-term exposure to BC was associated with 3.42% (95%CI: 1.34%, 5.50%) change in FeNO. The association between short-term exposure to O3 and FeNO level was insignificant (P>0.05). Future studies are warranted to investigate the effect of multiple pollutants, different sources and composition of air pollutants on airway inflammation.
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Affiliation(s)
- Xiaolu Chen
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Feifei Liu
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Zhiping Niu
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Shuyuan Mao
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Hong Tang
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Na Li
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Gongbo Chen
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Suyang Liu
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China
| | - Yuanan Lu
- Environmental Health Laboratory, Department of Public Health Sciences, University Hawaii at Manoa, 1960, East West Rd, Biomed Bldg, D105, Honolulu, USA
| | - Hao Xiang
- Department of Global Health, School of Health Sciences, Wuhan University, 115# Donghu Road, Wuhan, China; Global Health Institute, Wuhan University, 115# Donghu Road, Wuhan, China.
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12
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Hargrove MM, Kim YH, King C, Wood CE, Gilmour MI, Dye JA, Gavett SH. Smoldering and flaming biomass wood smoke inhibit respiratory responses in mice. Inhal Toxicol 2019; 31:236-247. [PMID: 31431109 DOI: 10.1080/08958378.2019.1654046] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background: Acute and chronic exposures to biomass wildfire smoke pose significant health risks to firefighters and impacted communities. Susceptible populations such as asthmatics may be particularly sensitive to wildfire effects. We examined pulmonary responses to biomass smoke generated from combustion of peat, oak, or eucalyptus in control and house dust mite (HDM)-allergic mice. Methods: Mice were exposed 1 h/d for 2 consecutive days to emissions from each fuel type under smoldering or flaming conditions (∼40 or ∼3.3 mg PM/m3, respectively) while maintaining comparable CO levels (∼60-120 ppm). Results: Control and allergic mice reduced breathing frequency during exposure to all biomass emissions compared with pre-exposure to clean air. Smoldering eucalyptus and oak, but not peat, further reduced frequency compared to flaming conditions in control and allergic groups, while also reducing minute volume and peak inspiratory flow in control mice. Several biochemical and cellular markers of lung injury and inflammation were suppressed by all biomass emission types in both HDM-allergic and control mice. Control mice exposed to flaming eucalyptus at different PM concentrations (C) and times (T) with the same C × T product had a greater decrease in breathing frequency with high concentration acute exposure compared with lower concentration episodic exposure. This decrease was ameliorated by PM HEPA filtration, indicating that the respiratory changes were partially mediated by biomass smoke particles. Conclusion: These data show that exposure to smoldering eucalyptus or oak smoke inhibits respiratory responses to a greater degree than peat smoke. Anti-inflammatory effects of CO may possibly contribute to smoke-induced suppression of allergic inflammatory responses.
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Affiliation(s)
- Marie McGee Hargrove
- Oak Ridge Institute for Science and Education , Research Triangle Park , NC , USA
| | - Yong Ho Kim
- National Research Council , Washington , DC , USA
| | - Charly King
- National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency , Research Triangle Park , NC , USA
| | - Charles E Wood
- National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency , Research Triangle Park , NC , USA
| | - M Ian Gilmour
- National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency , Research Triangle Park , NC , USA
| | - Janice A Dye
- National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency , Research Triangle Park , NC , USA
| | - Stephen H Gavett
- National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency , Research Triangle Park , NC , USA
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13
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Kim J, Oh J, Averilla JN, Kim HJ, Kim JS, Kim JS. Grape Peel Extract and Resveratrol Inhibit Wrinkle Formation in Mice Model Through Activation of Nrf2/HO-1 Signaling Pathway. J Food Sci 2019; 84:1600-1608. [PMID: 31132143 DOI: 10.1111/1750-3841.14643] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Revised: 03/28/2019] [Accepted: 04/11/2019] [Indexed: 01/12/2023]
Abstract
Considering the anti-photoaging effect of antioxidant compounds, we investigated the protective capacity of grape peel extract (GPE) and resveratrol on ultraviolet (UV)-induced skin wrinkle formation. Total phenolic, total anthocyanin, and total flavonoid content in GPE prepared from peel of Campbell Early variety were 23.96 ± 0.09, 3.27 ± 0.40, and 1.24 ± 0.09 mg/g dry weight, respectively. Additionally, trans-resveratrol and piceid content of the resulting GPE were 117.14 ± 19.97 and 85.23 ± 8.89 µg/g dry weight, respectively. Oral administration of either 2 g GPE or 2 mg resveratrol per kg body weight in mice attenuated UVB-induced epidermal thickening (the thickness was reduced by about 63% and 55% with GPE and resveratrol consumption prior to exposure to UVB, respectively, compared to only UVB-treated condition) and had marginally protective effect on wrinkle formation of skin exposed to UVB. As introduction of either GPE or resveratrol induced Nrf2-dependent antioxidant enzymes including heme oxygenase-1 (HO-1) in liver and skin as well as inhibited metalloproteinases, it is highly probable that the extract or resveratrol mitigated UVB-induced photoaging through activation of Nrf2/HO-1 signaling pathway. PRACTICAL APPLICATION: This study proved that resveratrol and the extract of grape peel, a common by-product of grape juice processing, provide effective protection from UV-induced skin wrinkle formation. Therefore, grape peel extract, which contains an appreciable amount of bioactive compound resveratrol, can be utilized as functional food ingredient for the manufacture of inner beauty products.
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Affiliation(s)
- Jungeun Kim
- School of Food Science and Biotechnology (BK21 Plus), Kyungpook National Univ., Daegu, 41566, Republic of Korea
| | - Jisun Oh
- School of Food Science and Biotechnology (BK21 Plus), Kyungpook National Univ., Daegu, 41566, Republic of Korea
| | - Janice N Averilla
- School of Food Science and Biotechnology (BK21 Plus), Kyungpook National Univ., Daegu, 41566, Republic of Korea
| | - Hyo Jung Kim
- National Development Inst. of Korean Medicine, Gyeongsan, 38540, Republic of Korea
| | - Jae-Sik Kim
- Dr.Kim's Health Food Corp., Yeongcheon, 38912, Republic of Korea
| | - Jong-Sang Kim
- School of Food Science and Biotechnology (BK21 Plus), Kyungpook National Univ., Daegu, 41566, Republic of Korea
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14
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Gregorczyk-Maga I, Maga M, Wachsmann A, Janik MK, Chrzastek-Janik O, Bajkowski M, Partyka L, Koziej M. Air pollution may affect the assessment of smoking habits by exhaled carbon monoxide measurements. ENVIRONMENTAL RESEARCH 2019; 172:258-265. [PMID: 30822558 DOI: 10.1016/j.envres.2019.01.063] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 11/28/2018] [Accepted: 01/17/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND While European air quality policies reduce ambient carbon monoxide (CO) concentrations in general, there are still areas affected by high environmental CO exposure from transportation, industry and burning low-quality fossil fuels. We investigated, how these CO amounts might influence exhaled CO measurements used to monitor the smoking status of healthy subjects. METHODS A cross-sectional study of healthy adults living in areas of high air pollution (N = 742) and low air pollution (N = 197) in Poland. They completed a survey regarding their smoking habits and underwent necessary body measurements including exhaled CO concentration levels. RESULTS Ambient CO levels were much higher in highly pollutes cities. Also exhaled CO levels in subjects from high pollution areas were significantly higher, independent of subject smoking status (8.25 ppm vs. 3.26 ppm). Smokers exhaled more CO than non-smokers. Although the duration of smoking did not affect the CO levels, they were proportional to the number of cigarettes smoked during the day, especially for higher amounts of cigarettes and in unpolluted areas. It was possible to differentiate active from passive smokers in all areas, but the difference for passive smokers vs. non-smokers was significant only in low pollution city inhabitants. CONCLUSIONS Exhaled CO levels were confirmed to be a good indicator of smoking status and smoking pattern in healthy subjects. However, high environmental CO levels both increase baseline exhaled CO concentrations in non-smokers affecting their discrimination from passive smokers, and obscure categorizing cigarette consumption in heavy smokers. These findings add important evidence on both understanding of exhaled CO monitoring results and a significance of environmental CO exposure in areas with high pollution.
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Affiliation(s)
- Iwona Gregorczyk-Maga
- Department of Pediatric Dentistry, Institute of Dentistry, Jagiellonian University Medical College, Krakow, Poland.
| | - Mikolaj Maga
- Department of Angiology, Jagiellonian University Medical College, Krakow, Poland
| | - Agnieszka Wachsmann
- Department of Angiology, Jagiellonian University Medical College, Krakow, Poland
| | - Maciej K Janik
- Liver and Internal Medicine Unit, Department of General, Transplant and Liver Surgery, Medical University of Warsaw, Warszawa, Poland
| | - Olga Chrzastek-Janik
- Department of Radiotherapy, The Maria Sklodowska-Curie Memorial Cancer Centre, Warszawa, Poland
| | | | - Lukasz Partyka
- Department of Angiology, Jagiellonian University Medical College, Krakow, Poland
| | - Mateusz Koziej
- Department of Anatomy, Jagiellonian University Medical College, Krakow, Poland
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15
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Norbäck D, Lu C, Zhang Y, Li B, Zhao Z, Huang C, Zhang X, Qian H, Sun Y, Sundell J, Juan W, Liu W, Deng Q. Onset and remission of childhood wheeze and rhinitis across China - Associations with early life indoor and outdoor air pollution. ENVIRONMENT INTERNATIONAL 2019; 123:61-69. [PMID: 30496983 DOI: 10.1016/j.envint.2018.11.033] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 11/13/2018] [Accepted: 11/14/2018] [Indexed: 06/09/2023]
Abstract
OBJECTIVE Few longitudinal studies exist on childhood exposure to indoor and outdoor air pollution and respiratory illness in China. We studied associations between indoor and outdoor environment and prevalence, onset and remission of wheeze and rhinitis among children across China. METHODS Children (3-6 y) were recruited from randomized day care centres in six cities. The main data analysis was restricted to children not moving since birth (N = 17,679). Data on wheeze, rhinitis and the home environment were assessed by a parental questionnaire. Prevalence in the first two years of life (baseline) and the last year (follow-up) was used to calculate onset and remission. Outdoor PM2.5, PM10, and NO2 at the day care centre were modelled from monitoring station data. Associations were calculated by multilevel logistic regression. RESULTS Prenatal NO2 was associated with decreased remission of wheeze and increased prevalence and increased onset of rhinitis. Prenatal PM2.5 was associated with increased prevalence of wheeze. Postnatal NO2 and postnatal PM10 were associated with increased prevalence and lower remission of wheeze and rhinitis. Mould, window pane condensation, renovation and cockroaches at home were associated with increased prevalence and increased onset of wheeze and rhinitis. Gas cooking was associated with increased onset of rhinitis. Children of mothers with industrial work had more wheeze. CONCLUSIONS Outdoor PM2.5, PM10 and NO2 can increase childhood wheeze and rhinitis. Dampness and mould can increase onset and decrease remission. Crowdedness, cockroaches at home and emissions from new building materials and gas cooking can be risk factors for wheeze and rhinitis.
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Affiliation(s)
- Dan Norbäck
- XiangYa School of Public Health, Central South University, Changsha, Hunan, China; School of Energy Science and Engineering, Central South University, Changsha, Hunan, China; Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
| | - Chan Lu
- XiangYa School of Public Health, Central South University, Changsha, Hunan, China; School of Energy Science and Engineering, Central South University, Changsha, Hunan, China
| | - Yinping Zhang
- School of Architecture, Tsinghua University, Beijing, China
| | - Baizhan Li
- Key Laboratory of Three Gorges Reservoir Region's Eco-Environment, Chongqing University, Chongqing, China
| | - Zhuohui Zhao
- Department of Environmental Health, Fudan University, Shanghai, China
| | - Chen Huang
- School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai, China
| | - Xin Zhang
- Institute of Environmental Science, Shanxi University, Taiyuan, China
| | - Hua Qian
- School of Energy & Environment, Southeast University, Nanjing, China
| | - Yuexia Sun
- School of Environmental Science and Engineering, Tianjin University, Tianjin, China
| | - Jan Sundell
- XiangYa School of Public Health, Central South University, Changsha, Hunan, China; School of Environmental Science and Engineering, Tianjin University, Tianjin, China
| | - Wang Juan
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden; Key Laboratory of Three Gorges Reservoir Region's Eco-Environment, Chongqing University, Chongqing, China
| | - Wei Liu
- School of Architecture, Tsinghua University, Beijing, China
| | - Qihong Deng
- XiangYa School of Public Health, Central South University, Changsha, Hunan, China; School of Energy Science and Engineering, Central South University, Changsha, Hunan, China.
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16
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Yang D, Yang X, Deng F, Guo X. Ambient Air Pollution and Biomarkers of Health Effect. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1017:59-102. [PMID: 29177959 DOI: 10.1007/978-981-10-5657-4_4] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Recently, the air pollution situation of our country is very serious along with the development of urbanization and industrialization. Studies indicate that the exposure of air pollution can cause a rise of incidence and mortality of many diseases, such as chronic obstructive pulmonary disease (COPD), asthma, myocardial infarction, and so on. However, there is now growing evidence showing that significant air pollution exposures are associated with early biomarkers in various systems of the body. In order to better prevent and control the damage effect of air pollution, this article summarizes comprehensively epidemiological studies about the bad effects on the biomarkers of respiratory system, cardiovascular system, and genetic and epigenetic system exposure to ambient air pollution.
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Affiliation(s)
- Di Yang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, China
| | - Xuan Yang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, China
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17
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Shang J, Khuzestani RB, Huang W, An J, Schauer JJ, Fang D, Cai T, Tian J, Yang S, Guo B, Zhang Y. Acute changes in a respiratory inflammation marker in guards following Beijing air pollution controls. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 624:1539-1549. [PMID: 29929263 DOI: 10.1016/j.scitotenv.2017.12.109] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 12/06/2017] [Accepted: 12/11/2017] [Indexed: 05/21/2023]
Abstract
The adverse respiratory health effects of PM2.5 have been studied. However, the epidemiological evidence for the association of specific PM2.5 sources with health outcomes is still limited. This study investigated the association between PM2.5 components and sources with a biomarker of acute respiratory inflammation (FeNO) in guards. Personal exposure was estimated by microenvironment samplers and FeNO measurements were carried out before, during and after the Victory Day Military Parade in Beijing. Four sources were determined by factor analysis, including urban pollution, dust, alloy steel abrasion and toxic metals. A mixed-effect model was used to estimate the associations of FeNO with PM2.5 sources and chemical constituents, controlling for age, BMI, smoke activity, physical activity, waist circumference, temperature and relative humidity. In summary, large concentration decreases in PM2.5 concentration and PM2.5 chemical constituents were observed in both roadside and indoor environments during the air control periods, immediately followed by statistically significant decreases in FeNO of roadside guards and patrol guards. Besides, statistically significant increases in FeNO were found to be associated with interquartile range (IQR) increases in some pollutants, with an increase of 1.45ppb (95% CI: 0.69, 2.20), 0.65ppb (95% CI: 0.13, 1.17), 1.48ppb (95% CI: 0.60, 2.35), 0.82ppb (95% CI: 0.44, 1.20), 0.77ppb (95% CI: 0.42, 1.11) in FeNO for mass, sulfate, BC, Ca2+ and Sm, respectively. In addition, compared to alloy steel abrasion and toxic metals, urban pollution and dust factors were more associated with acute airway inflammation for highly-exposed populations.
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Affiliation(s)
- Jing Shang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Reza Bashiri Khuzestani
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Huang
- Institute for Environmental Reference Materials of Ministry of Environmental Protection, Beijing, China
| | - Jianxiong An
- Department of Anesthesiology, Pain Medicine and Critical Care Medicine, Aviation General Hospital of China Medical University, Beijing 100012, China
| | - James J Schauer
- Environmental Chemistry and Technology Program, University of Wisconsin-Madison, Madison, WI, USA
| | - Dongqing Fang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tianqi Cai
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingyu Tian
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shujian Yang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bo Guo
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Shandong 250100, China
| | - Yuanxun Zhang
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen, 361021, China; Huairou Eco-Environmental Observatory, Chinese Academy of Sciences, Beijing, 101408, China.
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18
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Wang C, Chen R, Shi M, Cai J, Shi J, Yang C, Li H, Lin Z, Meng X, Liu C, Niu Y, Xia Y, Zhao Z, Kan H, Weinberg CR. Possible Mediation by Methylation in Acute Inflammation Following Personal Exposure to Fine Particulate Air Pollution. Am J Epidemiol 2018; 187:484-493. [PMID: 29020142 DOI: 10.1093/aje/kwx277] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Accepted: 07/11/2017] [Indexed: 12/23/2022] Open
Abstract
Air pollution may increase cardiovascular and respiratory risk through inflammatory pathways, but evidence for acute effects has been weak and indirect. Between December 2014 and July 2015, we enrolled 36 healthy, nonsmoking college students for a panel study in Shanghai, China, a city with highly variable levels of air pollution. We measured personal exposure to particulate matter with an aerodynamic diameter less than or equal to 2.5 μm (PM2.5) continuously for 72 hours preceding each of 4 clinical visits that included phlebotomy. We measured 4 inflammation proteins and DNA methylation at nearby regulatory cytosine-phosphate-guanine (CpG) loci. We applied linear mixed-effect models to examine associations over various lag times. When results suggested mediation, we evaluated methylation as mediator. Increased PM2.5 concentration was positively associated with all 4 inflammation proteins and negatively associated with DNA methylation at regulatory loci for tumor necrosis factor alpha (TNF-α) and soluble intercellular adhesion molecule-1. A 10-μg/m3 increase in average PM2.5 during the 24 hours preceding blood draw corresponded to a 4.4% increase in TNF-α and a statistically significant decrease in methylation at one of the two studied candidate CpG loci for TNF-α. Epigenetics may play an important role in mediating effects of PM2.5 on inflammatory pathways.
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Affiliation(s)
- Cuicui Wang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Fudan University, Shanghai, China
| | - Min Shi
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Jingjin Shi
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Changyuan Yang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Huichu Li
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Zhijing Lin
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Yue Niu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Yongjie Xia
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Zhuohui Zhao
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Fudan University, Shanghai, China
| | - Clarice R Weinberg
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
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19
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Air Pollution Exposure and Physical Activity in China: Current Knowledge, Public Health Implications, and Future Research Needs. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2015; 12:14887-97. [PMID: 26610539 PMCID: PMC4661686 DOI: 10.3390/ijerph121114887] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2015] [Revised: 11/03/2015] [Accepted: 11/16/2015] [Indexed: 01/03/2023]
Abstract
Deteriorating air quality in China has created global public health concerns in regard to health and health-related behaviors. Although emerging environmental regulations address ambient air pollution in China, the level of enforcement and long-term impact of these measures remain unknown. Exposure to air pollution has been shown to lead to multiple adverse health outcomes, including increased rates of heart disease and mortality. However, a lesser-known but increasingly significant concern is the relationship between air pollution and its effects on outdoor exercise. This is especially important in China, which has a culturally rooted lifestyle that encourages participation in outdoor physical activity. This article evaluates the intersection of air pollution and outdoor exercise and provides a discussion of issues related to its public health impact in China, where efforts to promote a healthy lifestyle may be adversely affected by the ambient air pollution that has accompanied rapid economic development and urbanization.
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