Associations of Particulate Matter Sizes and Chemical Constituents with Blood Lipids: A Panel Study in Guangzhou, China

He, Zuyong; Guo, Pengqian; Xu, Shaoyuan; Zhou, Yang; Jalaludin, Bin; Leskinen, Ari; Knibbs, Luke D.; Heinrich, Joachim; Morawska, Lidia; Yim, Steve Hung Lam; Bui, Dinh; Komppula, Mika; Roponen, Marjut; Hu, Liwen; Chen, Gongbo; Zeng, Xiao‐Wen; Yu, Yunjiang; Yang, Bo‐Yi; Dong, Guang‐Hui

doi:10.1021/acs.est.0c06974

Cited by 31 publications

(17 citation statements)

References 60 publications

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“…Ni exposure was also associated with decreased diastolic blood pressure [ 25 ]. In a study of 88 healthy students, higher concentrations of Ni in PM2.5 components were associated with higher HDL-C [ 51 ], which was consistent with our first sensitivity analysis (model 3). However, that study had a small sample size and did not focus on other blood lipid profiles.…”

Section: Discussionsupporting

confidence: 88%

Mediation Effect of Body Mass Index on the Association of Urinary Nickel Exposure with Serum Lipid Profiles

Wang

Shan²,

Jiang³

et al. 2022

Biol Trace Elem Res

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The objective of this study was to determine the relationship of urinary nickel (U-Ni) exposure to serum lipid profiles and the mediation effect of body mass index (BMI) in a US general population. We analyzed the cross-sectional data from 3517 participants in the National Health and Nutrition Examination Survey (NHANES) (2017-March 2020). Multivariable linear regression and restricted cubic spline (RCS) regression were conducted to explore the association of U-Ni with four serum lipids and four lipids-derived indicators. Mediation analysis was performed to examine the effect of BMI on the relationship between U-Ni levels and serum lipid profiles. Compared with the lowest quartile, the β with 95% confidence intervals (CIs) in the highest quartile were − 12.83 (− 19.42, − 6.25) for total cholesterol (TC) ( P for trend < 0.001), − 12.76 (− 19.78, − 5.74) for non-high-density lipoprotein cholesterol (non-HDL-C) ( P for trend = 0.001) and − 0.29 (− 0.51, − 0.07) for TC/HDL-C ( P for trend = 0.007) in the fully adjusted model. RCS plots showed the linear association of log 2 -transformed U-Ni levels with TC, non-HDL-C and TC/HDL-C ( P for nonlinearity = 0.294, 0.152, and 0.087, respectively). Besides, BMI decreased monotonically in correlation with increasing U-Ni levels ( P for trend < 0.001). Mediation analysis revealed that BMI significantly mediated the relationship of U-Ni to TC, non-HDL-C and TC/HDL-C with mediated proportions of 11.17%, 22.20% and 36.44%, respectively. In summary, our findings suggest that BMI mediates the negative association of U-Ni with TC, non-HDL-C, and TC/HDL-C in the US general population. Supplementary Information The online version contains supplementary material available at 10.1007/s12011-022-03375-4.

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Section: Discussionsupporting

confidence: 88%

Mediation Effect of Body Mass Index on the Association of Urinary Nickel Exposure with Serum Lipid Profiles

Wang

Shan²,

Jiang³

et al. 2022

Biol Trace Elem Res

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“…Recent evidence from time-series or panel studies conducted in megacities in China indicated that short-term exposure to UFPs was associated with a series of cardiopulmonary diseases or their biomarkers. 129 , 130 , 131 , 132 , 133 Some studies in China further indicated that the detrimental effects of UFPs were independent of other air pollutants 132 and stronger than larger particles. 132 , 133 The WHO provided a qualitative statement of UFPs in 2021 for the first time, but did not conclude a particular AQG for UFPs due to insufficient epidemiological evidence.…”

Section: Epidemiological Evidence On Health Impacts Of Particulates I...mentioning

confidence: 99%

Overview of particulate air pollution and human health in China: Evidence, challenges, and opportunities

et al. 2022

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“…Panel-based study designs are considered an effective method to investigate the associations between

and health outcomes ( Feng et al. 2020 ; He et al. 2021 ; Sarnat et al.…”

Section: Discussionmentioning

confidence: 99%

PM2.5 and Serum Metabolome and Insulin Resistance, Potential Mediation by the Gut Microbiome: A Population-Based Panel Study of Older Adults in China

Zhao

Fang

Tang

et al. 2022

Environ Health Perspect

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Background: Insulin resistance (IR) affects the development of type 2 diabetes mellitus (T2DM), which is also influenced by accumulated fine particle air pollution [particulate matter (PM) with aerodynamic diameter of ( )] exposure. Previous experimental and epidemiological studies have proposed several potential mechanisms by which contributes to IR/T2DM, including inflammation imbalance, oxidative stress, and endothelial dysfunction. Recent evidence suggests that the imbalance of the gut microbiota affects the metabolic process and may precede IR. However, the underlying mechanisms of , gut microbiota, and metabolic diseases are unclear. Objectives: We investigated the associations between personal exposure to and fasting blood glucose and insulin levels, the IR index, and other related biomarkers. We also explored the potential underlying mechanisms (systemic inflammation and sphingolipid metabolism) between and insulin resistance and the mediating effects between and sphingolipid metabolism. Methods: We recruited 76 healthy seniors to participate in a repeated-measures panel study and conducted clinical examinations every month from September 2018 to January 2019. Linear mixed-effects (LME) models were used to analyze the associations between and health data (e.g., functional factors, the IR index, inflammation and other IR-related biomarkers, metabolites, and gut microbiota). We also performed mediation analyses to evaluate the effects of mediators (gut microbiota) on the associations between exposures ( ) and featured metabolism outcomes. Results: Our prospective panel study illustrated that exposure to was associated with an increased risk of higher IR index and functional biomarkers, and our study provided mechanistic evidence suggesting that exposure may contribute to systemic inflammation and altered sphingolipid metabolism. Discussion: Our findings demonstrated that was associated with the genera of the gut microbiota, which partially mediated the association between and sphingolipid metabolism. These findings may extend our current understanding of the pathways of and IR. https://doi.org/10.1289/EHP9688

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Associations of Particulate Matter Sizes and Chemical Constituents with Blood Lipids: A Panel Study in Guangzhou, China

Cited by 31 publications

References 60 publications

Mediation Effect of Body Mass Index on the Association of Urinary Nickel Exposure with Serum Lipid Profiles

Mediation Effect of Body Mass Index on the Association of Urinary Nickel Exposure with Serum Lipid Profiles

Overview of particulate air pollution and human health in China: Evidence, challenges, and opportunities

PM2.5 and Serum Metabolome and Insulin Resistance, Potential Mediation by the Gut Microbiome: A Population-Based Panel Study of Older Adults in China

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