Association of chemical constituents and pollution sources of ambient fine particulate air pollution and biomarkers of oxidative stress associated with atherosclerosis: A panel study among young adults in Beijing, China

Wu, Shaowei; Yang, Di; Wei, Haidong; Wang, Bin; Huang, Jing; Li, Hongyu; Shima, Masayuki; Deng, Furong; Guo, Xinbiao

doi:10.1016/j.chemosphere.2015.04.096

Cited by 57 publications

(28 citation statements)

References 41 publications

(55 reference statements)

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“…This suggests that differences in plasma sCD36 concentrations may be expected in different study groups from different populations. Additionally, absolute sCD36 concentrations reported in the present study were considerably lower than those reported in the majority of other studies (17,(22)(23)(24). Notable exceptions have been reported by Himoto et al (25) and García-Monzón et al (26) who identified even lower sCD36 concentrations compared to those from the current study (Table IV).…”

Section: Discussioncontrasting

confidence: 56%

Soluble cluster of differentiation 36 concentrations are not associated with cardiovascular risk factors in middle-aged subjects

et al. 2016

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Abstract. Cluster of differentiation 36 (CD36) is involved in the development of atherosclerosis by enhancing macrophage endocytosis of oxidized low-density lipoproteins and foam cell formation. Soluble CD36 (sCD36) was found to be elevated in type 2 diabetic patients and possibly acted as a marker of insulin resistance and atherosclerosis. In young subjects, sCD36 was associated with cardiovascular risk factors including obesity and hypertriglyceridemia. The present study was conducted to further investigate the association between plasma sCD36 and cardiovascular risk factors among middle-aged patients with metabolic syndrome (MetS) and healthy controls. sCD36 concentrations were determined by enzyme-linked immunosorbent assays (ELISA) for 41 patients with MetS and 36 healthy controls. Data for other variables were obtained from patient medical records. sCD36 concentrations were relatively low compared to the majority of other studies and were not significantly different between the MetS group and controls (P=0.17). sCD36 was also not correlated with age, body mass index, glucose, lipid profile, serum electrolytes and blood counts. sCD36 was not significantly different between subjects with obesity, hyperglycemia, dyslipidemia, hypertension or cardiovascular disease, and those without these abnormalities (P>0.05). The inconsistency between results reported in the present study and other studies may be unique to the study population or be a result of the lack of a reliable standardized method for determining absolute sCD36 concentrations. However, further investigations are required to assess CD36 tissue expression in the study population and to assess the accuracy of various commercially available sCD36 ELISA kits. Thus, the availability of a standardized simple sCD36 ELISA that could be performed in any basic laboratory would be more favorable to the specialized flow cytometry methods that detect CD36 + microparticles if it was to be used as a biomarker. IntroductionCardiovascular disease (CVD) is the principal cause of fatalities among older adults worldwide (1). Advanced age, male gender and family history of CVD are considered as non-modifiable cardiovascular risk factors (2). Alternatively, modifiable risk factors for CVD include obesity, hypertension, hypercholesterolemia, hypertriglyceridemia, reduced high-density lipoprotein (HDL) cholesterol, diabetes mellitus (DM), smoking and a sedentary lifestyle (3). To best identify the subjects at an increased risk of CVD, the term 'Metabolic Syndrome' (MetS) emerged to describe a cluster of the modifiable risk factors that they can predict the occurrence of CVD when they exist together (4). However, subjects are diagnosed with MetS when they fulfill certain criteria that were defined by several health organizations (5-8).Certain subjects may develop CVD without having numerous cardiovascular risk factors (9). Khot et al (10) have shown that at least one of the four traditional risk factors (smoking, DM, hyperlipidemia and hypertension) was found in ~80% of thei...

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Section: Discussioncontrasting

confidence: 56%

Soluble cluster of differentiation 36 concentrations are not associated with cardiovascular risk factors in middle-aged subjects

et al. 2016

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“…In all, our data suggests that of the considered species, sulfate and ammonium have the most important relationships with DNAm-age. Furthermore, existing studies that do consider a range of PM 2.5 components demonstrate that other non-carbonaceous components are important to age-related outcomes (Dai et al, 2016b; Wu et al, 2013; Wu et al, 2015). These data, together with our findings, also suggests the important need to consider a range of PM 2.5 components, rather than one or two species, in air pollution and health studies.…”

Section: Discussionmentioning

confidence: 99%

Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderly: The VA normative aging study

Nwanaji‐Enwerem

Dai

Colicino

et al. 2017

Environment International

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Background Long-term PM2.5 exposure and aging have been implicated in multiple shared diseases; studying their relationship is a promising strategy to further understand the adverse impact of PM2.5 on human health. Objective We assessed the relationship of major PM2.5 component species (ammonium, elemental carbon, organic carbon, nitrate, and sulfate) with Horvath and Hannum DNA methylation (DNAm) age, two DNA methylation-based predictors of chronological age. Methods This analysis included 552 participants from the Normative Aging Study with multiple visits between 2000 and 2011 (n = 940 visits). We estimated 1-year PM2.5 species levels at participants’ addresses using the GEOS-chem transport model. Blood DNAm-age was calculated using CpG sites on the Illumina HumanMethylation450 BeadChip. We fit linear mixed-effects models, controlling for PM2.5 mass and lifestyle/environmental factors as fixed effects, with the adaptive LASSO penalty to identify PM2.5 species associated with DNAm-age. Results Sulfate and ammonium were selected by the LASSO in the Horvath DNAm-age models. In a fully-adjusted multiple-species model, interquartile range increases in both 1-year sulfate (95%CI: 0.28, 0.74, P < 0.0001) and ammonium (95%CI: 0.02, 0.70, P = 0.04) levels were associated with at least a 0.36-year increase in Horvath DNAm-age. No PM2.5 species were selected by the LASSO in the Hannum DNAm-age models. Our findings persisted in sensitivity analyses including only visits with 1-year PM2.5 levels within US EPA national ambient air quality standards. Conclusion Our results demonstrate that sulfate and ammonium were most associated with Horvath DNAm-age and suggest that DNAm-age measures differ in their sensitivity to ambient particle exposures and potentially disease.

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“…Several research groups including ours have been investigating the associations between biomarkers of effect and size-fractionated and/or chemically-characterized particulate air pollutants (Delfino et al 2008; Delfino et al 2009; Delfino et al 2010a; Chen et al 2015; Wu et al 2015). However, there is still a need to systematically explore oxidative stress and inflammatory biomarkers in both pulmonary and circulatory systems in relation to chemically-characterized PM.…”

Section: Introductionmentioning

confidence: 99%

Associations of oxidative stress and inflammatory biomarkers with chemically-characterized air pollutant exposures in an elderly cohort

Zhang

Staimer

Gillen

et al. 2016

Environmental Research

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Background Exposure to air pollution has been associated with cardiorespiratory morbidity and mortality. However, the chemical constituents and pollution sources underlying these associations remain unclear. Method We conducted a cohort panel study involving 97 elderly subjects living in the Los Angeles metropolitan area. Airway and circulating biomarkers of oxidative stress and inflammation were measured weekly over 12 weeks and included, exhaled breath condensate malondialdehyde (EBC MDA), fractional exhaled nitric oxide (FeNO), plasma oxidized low-density lipoprotein (oxLDL), and plasma interleukin-6 (IL-6). Exposures included 7-day personal nitrogen oxides (NOX), daily criteria-pollutant data, five-day average particulate matter (PM) measured in three size-fractions and characterized by chemical components including transition metals, and in vitro PM oxidative potential (dithiothreitol and macrophage reactive oxygen species). Associations between biomarkers and pollutants were assessed using linear mixed effects regression models. Results We found significant positive associations of airway oxidative stress and inflammation with traffic-related air pollutants, ultrafine particles and transition metals. Positive but nonsignificant associations were observed with PM oxidative potential. The strongest associations were observed among PM variables in the ultrafine range (PM <0.18 μm). It was estimated that an interquartile increase in 5-day average ultrafine polycyclic aromatic hydrocarbons was associated with a 6.3% (95% CI: 1.1%, 11.6%) increase in EBC MDA and 6.7% (95% CI: 3.4%, 10.2%) increase in FeNO. In addition, positive but nonsignificant associations were observed between oxLDL and traffic-related pollutants, ultrafine particles and transition metals while plasma IL-6 was positively associated with 1-day average traffic-related pollutants. Conclusion Our results suggest that exposure to pollutants with high oxidative potential (traffic-related pollutants, ultrafine particles, and transition metals) may lead to increased airway oxidative stress and inflammation in elderly adults. This observation was less clear with circulating biomarkers.

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Association of chemical constituents and pollution sources of ambient fine particulate air pollution and biomarkers of oxidative stress associated with atherosclerosis: A panel study among young adults in Beijing, China

Cited by 57 publications

References 41 publications

Soluble cluster of differentiation 36 concentrations are not associated with cardiovascular risk factors in middle-aged subjects

Soluble cluster of differentiation 36 concentrations are not associated with cardiovascular risk factors in middle-aged subjects

Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderly: The VA normative aging study

Associations of oxidative stress and inflammatory biomarkers with chemically-characterized air pollutant exposures in an elderly cohort

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