Source apportionment and heavy metal health risk (HMHR) quantification from sources in a southern city in China, using an ME2-HMHR model

Peng, Xing; Shi, Guoliang; Liu, Guirong; Xu, Jiao; Tian, Yingze; Zhang, Yufen; Feng, Yinchang; Russell, Armistead G.

doi:10.1016/j.envpol.2016.11.083

Cited by 111 publications

(35 citation statements)

References 42 publications

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“…Since the exposures were performed for 6 h/day, 5 days/week, the normalized daily CAPs concentration was 20.83 μg/m 3 , which was significantly higher than the annual national ambient air quality standard of 12 μg/m 3 set by the U.S. Environmental Protection Agency (U.S. EPA 2012). Although this concentration of ambient PM 2.5 is not frequently observed in USA, it is indeed common in some regions with heavy air pollution such as India and China [ 49 ]. Furthermore, given that the respiration rate relative to body weight of humans is approximately only one fourth of the mouse’s [ 50 ], the concentration of PM 2.5 in the present study translated to human exposures will be 5.2 μg/m 3 .…”

Section: Discussionmentioning

confidence: 99%

Programming of mouse obesity by maternal exposure to concentrated ambient fine particles

Chen

Wang

et al. 2017

Part Fibre Toxicol

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BackgroundMany diseases including obesity may originate through alterations in the early-life environment that interrupts fetal development. Increasing evidence has shown that exposure to ambient fine particles (PM2.5) is associated with abnormal fetal development. However, its long-term metabolic effects on offspring have not been systematically investigated.ResultsTo determine if maternal exposure to PM2.5 programs offspring obesity, female C57Bl/6j mice were exposed to filtered air (FA) or concentrated ambient PM2.5 (CAP) during pre-conception, pregnancy, and lactation, and the developmental and metabolic responses of offspring were assessed. The growth trajectory of offspring revealed that maternal exposure to CAP significantly decreased offspring birth weight but increased body weight of adult male but not female offspring, and the latter was expressed as increased adiposity. These adult male offspring had increased food intake, but were sensitive to exogenous leptin. Their hypothalamic expression of Socs3 and Pomc, two target genes of leptin, was not changed, and the hypothalamic expression of NPY, an orexigenic peptide that is inhibited by leptin, was significantly increased. These decreases in central anorexigenic signaling were accompanied by reduced plasma leptin and its expression in adipose tissues, the primary source of circulating leptin. In contrast, maternal exposure did not significantly change any of these indexes in adult female offspring. Pyrosequencing demonstrated that the leptin promoter methylation of adipocytes was significantly increased in CAP-exposed male but not female offspring.ConclusionsOur data indicate that maternal exposure to ambient PM2.5 programs obesity in male offspring probably through alterations in the methylation of the promoter region of the leptin gene.Electronic supplementary materialThe online version of this article (doi:10.1186/s12989-017-0201-9) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Programming of mouse obesity by maternal exposure to concentrated ambient fine particles

Chen

Wang

et al. 2017

Part Fibre Toxicol

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“…The main human activities and industries causing atmospheric pollution include metal smelting, the chemical and pharmaceutical industries, the production and use of chemicals, and the accumulation and disposal of industrial waste [6][7][8][9][10]. Sources of pollution, such as industrial enterprises and the air around them, are mainly reflected in the emission of air pollutants, sedimentation of particles on the ground, and unreasonable accumulation of industrial solid waste [1,[11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution, Pollution Source, and Health Risk Assessment of Heavy Metals in Atmospheric Depositions: A Case Study from the Sustainable City of Shijiazhuang, China

Cai

2019

Atmosphere

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Samples of atmospheric depositions from five types of functional areas in Shijiazhuang, Hebei Province, China, were collected, and the concentrations of six toxic heavy metals (Cd, Cr, Cu, Pb, Ni, and Zn) were measured. Geographic information system, Pb isotope assessment, multivariate statistical analysis (principal component analysis, PCA), the geoaccumulation index (Igeo), potential ecological risk index (PERI), and a health risk assessment model were used to study the degree of pollution, identify sources of pollution, and assess the health risks to children and adults via three pathways (hand–mouth intake, skin contact, and respiration). The results show that the high traffic volume and exhaust gas emissions have led to high concentrations of heavy metals. The Igeo and PERI values of Cd (0.38–2.0 and 108–4531, respectively), indicating the present high pollution level and potential risk, respectively, varied the most. Pb isotope and PCA showed that Pb, Zn, and Cd from atmospheric deposition come from power plants and traffic—Cu is related to traffic, and Ni and Cr come mainly from soil particles (natural source). The health risk assessment showed that heavy metals in atmospheric depositions are at a safe level in the study area.

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“…Because of the differences in the body size between Chinese and foreigners, the values representing exposed skin area adopted here were 2011.25 cm 2 for adults and 1077.5 cm 2 for children, according to Reference [22]. The dermal absorption factor (ABS) for As, Cd, and others were 0.03, 0.001 [19,20,23,24], and 0.01 [19], respectively. The hazard quotient (HQ) is used for assessing the level of concern for each non-carcinogenic contaminant, and the hazard index (HI) is the sum of the HQs for several chemicals.…”

Section: Health Risk Assessmentmentioning

confidence: 99%

“…Lifetime cancer risk (CR) was used to assess carcinogenic risk, and the acceptable or tolerable risk is 1 × 10 −6 to 1 × 10 −4 [21]. Equations are as below [19,20,24]:…”

Section: Health Risk Assessmentmentioning

confidence: 99%

Sources and Health Risks of Heavy Metals in PM2.5 in a Campus in a Typical Suburb Area of Taiyuan, North China

2018

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Abstract:To evaluate air pollution and the public health burden of heavy metals in PM 2.5 in a campus with a population of approximately 40,000 in a typical suburb area of Taiyuan, North China, PM 2.5 measurements were conducted during the spring and winter of 2016. The average concentrations of PM 2.5 in spring and winter were 97.3 ± 35.2 µg m −3 and 205.9 ± 91.3 µg m −3 , respectively. The order of concentration of heavy metals in PM 2.5 was as follows: Zn > Pb > Mn > Cu > Cr > Ni > Cd > As, in both spring and winter. The concentrations of Cd and Pb in winter and the concentrations of Cr in both spring and winter in this study were significantly higher than the corresponding air quality standard values. Road/soil dust, industrial emissions/coal combustion, and vehicle emissions/oil combustion and coal combustion/industrial emissions, road/soil dust, and vehicle emissions/oil combustion were identified by principal component analysis to be the major sources of heavy metals for spring and winter, respectively. The carcinogenic risks posed by Cr via the three exposure pathways (except for inhalation exposure to children) and by Pb via ingestion exposure exceeded the acceptable level for both children and adults. The non-carcinogenic risks posed by Mn via inhalation for both children and adults, and by Cr and Pb for children via ingestion exceeded the acceptable level.

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Source apportionment and heavy metal health risk (HMHR) quantification from sources in a southern city in China, using an ME2-HMHR model

Cited by 111 publications

References 42 publications

Programming of mouse obesity by maternal exposure to concentrated ambient fine particles

Programming of mouse obesity by maternal exposure to concentrated ambient fine particles

Spatial Distribution, Pollution Source, and Health Risk Assessment of Heavy Metals in Atmospheric Depositions: A Case Study from the Sustainable City of Shijiazhuang, China

Sources and Health Risks of Heavy Metals in PM2.5 in a Campus in a Typical Suburb Area of Taiyuan, North China

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