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Effects of short-term exposure to PM2.5 and its constituents on fasting plasms glucose and blood lipids |
SANG Chen1, HE Ying-qian2, JIA Jia1, CHEN Hao1, WANG Min-zhen1 |
1. Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China; 2. Yuzhong District Center for Disease Control and Prevention, Chongqing 400000, China |
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Abstract The effects of PM2.5 and its constituents (SO42-, NO3-, NH4+, OM, BC) on fasting blood glucose and lipid levels in the short-term were examined in the “Jinchang Cohort”. The daily average concentrations of PM2.5 and its constituents from 2010to 2015 in Jinchang City were sourced from China's Near Real-Time Air Pollutants dataset. Individual exposure was determined by matching the study subjects' residential addresses with pollution data. Generalized estimating equations were used to analyze the short-term effects of PM2.5 and its constituents on glucose and lipid indicators. Generalized additive mixed models were used to create exposure-response curves and perform stratified analyses. The findings showed that PM2.5 and its constituents had delayed effects on blood glucose and lipid levels. Specifically, higher concentrations of PM2.5, SO42-, NO3-, NH4+, and OM correlated with increased levels of FPG, TC, HDL-C, and LDL-C, while TG showed a decrease. PM2.5 and SO42- exhibited more pronounced effects on fasting blood glucose levels in males, whereas PM2.5 and its five components had more significant impacts on lipid levels in females, individuals aged 60 years or older, those who are overweight or obese, individuals in prediabetic stages, and those with hypertension. Therefore, short-term exposure to PM2.5 and its components correlates with abnormal blood glucose and lipid levels in the population. Thus, various high-risk groups should adopt self-protection measures accordingly.
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Received: 30 July 2024
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[1] 冉利群.金昌市人居环境空气质量评价及预测研究 [D]. 兰州:兰州大学, 2013.Rang L Q. The assessment and prediction of living environmental air quality in Jinchang City [D]. Lanzhou: Lanzhou University, 2013. [2] GBD 2019 Risk Factors Collaborators. Global burden of 87 risk factors in 204 countries and territories, 1990~2019: a systematic analysis for the Global Burden of Disease Study 2019 [J]. Lancet, 2020,396(10258):1223-1249. [3] 2021年中国生态环境状况公报(摘录) [J]. 环境保护, 2022,50(12): 61-74.China Ecological Environment Status Bulletin 2021 (Excerpt) [J]. Environmental Protection, 2022,50(12):61-74. [4] Tian Y, Fang J, Wang F, et al. Linking the Fasting Blood Glucose Level to Short-Term-Exposed Particulate Constituents and Pollution Sources: Results from a Multicenter Cross-Sectional Study in China [J]. Environmental Science and Technology, 2022,56(14):10172-10182. [5] Strak M, Janssen N, Beelen R, et al. Long-term exposure to particulate matter, NO2 and the oxidative potential of particulates and diabetes prevalence in a large national health survey [J]. Environment International, 2017,108:228-236. [6] Renzi M, Cerza F, Gariazzo C, et al. Air pollution and occurrence of type 2diabetes in a large cohort study [J]. Environment International, 2018,112:68-76. [7] Wang M, Jin Y, Dai T, et al. Association between ambient particulate matter PM10 and incidence of diabetes in northwest of China: A prospective cohort study [J]. Ecotoxicology and Environmental Safety, 2020,202:110880. [8] Liu C, Yang C, Zhao Y, et al. Associations between long-term exposure to ambient particulate air pollution and type 2diabetes prevalence, blood glucose and glycosylated hemoglobin levels in China [J]. Environment International, 2016,92-93:416-421. [9] Hansen A B, Ravnskjær L, Loft S, et al. Long-term exposure to fine particulate matter and incidence of diabetes in the Danish Nurse Cohort [J]. Environment International, 2016,91:243-50. [10] Moro E, Gallina P, Pais M, et al. Hypertrigly ceridemia is associated with increased insulin resistance in subjects with normal glucose tolerance: evaluation in a large cohort of subjects assessed with the 1999 World Health Organization criteria for the classification of diabetes [J]. Metabolism, 2003,52(5):616-619. [11] Zhou P, Mo S, Peng M, et al. Long-term exposure to PM2.5 constituents in relation to glucose levels and diabetes in middle-aged and older Chinese [J]. Ecotoxicology and Environmental Safety, 2022, 245:114096. [12] Yitshak Sade M, Kloog I, Liberty I F, et al. The association between air pollution exposure and glucose and lipids levels [J]. The Journal of Clinical Endocrinology and Metabolism, 2016,101(6):2460-7. [13] Lei R, Wang Z, Wang X, et al. Effects of long-term exposure to PM2.5 and chemical constituents on blood lipids in an essential hypertensive population: A multi-city study in China [J]. Ecotoxicology and Environmental Safety, 2022,242:113867. [14] Bai Y, Yang A, Pu H, et al. Cohort profile: The China metal-exposed workers cohort study (Jinchang Cohort) [J]. International Journal of Epidemiology, 2017,46(4):1095-1096e. [15] 贺颖倩,王敏珍,郑 山,等.PM10短期暴露对人群空腹血糖和血脂的影响 [J]. 中国环境科学, 2022,42(6):2911-2920.He Y Q, Wang M Z, Zheng S, et al. Effects of short-term exposure to PM10 on fasting plasma glucose and blood lipids [J]. China Environmental Science, 2022,42(6):2911-2920. [16] Geng G, Zhang Q, Tong D, et al. Chemical composition of ambient PM2.5 over China and relationship to precursor emissions during 2005~2012 [J]. Atmospheric Chemistry and Physics, 2017,17(14): 9187-9203. [17] Liu, S., Geng, G., Xiao, Q., et al. Tracking daily concentrations of PM2.5 chemical composition in China since 2000 [J]. 2022, Environmental Science and Technology, 56,16517-16527. [18] 中华医学会糖尿病学分会.中国2型糖尿病防治指南(2020版) [J]. 国际内分泌代谢杂志, 2021,41(5):482-548.Chinese Diabetes Society. Chinese guidelines for the prevention and treatment of type 2diabetes mellitus (2020 edition) [J]. International Journal of Endocrinology and Metabolism, 2021,41(5):482-548. [19] 刘力生.中国高血压防治指南(2018年修订版) [J]. 中国心血管杂志, 2019,24(1):24-55.Liu L S. Chinese guidelines for the prevention and treatment of hypertension (2018revision) [J]. Chinese Journal of Cardiology, 2019, 24(1):24-55. [20] 诸骏仁,高润霖,赵水平,等.中国成人血脂异常防治指南(2016年修订版) [J]. 中国循环杂志, 2016,31(10):937-953.Zhu J R, Gao R L, Zhao P L, et al. Chinese guidelines for the prevention and treatment of dyslipidemia in adults (2016 revision) [J]. Chinese Journal of Circulation, 2016,31(10):937-953. [21] Chen L, Zhou Y, Li S, et al. Air pollution and fasting blood glucose: A longitudinal study in China [J]. Science of the Total Environment, 2016;541:750-755. [22] Guo P, Feng W, Zheng M, et al. Short-term associations of ambient air pollution and cause-specific emergency department visits in Guangzhou, China [J]. Science of the Total Environment, 2018,613-614:306-313. [23] Zhang W, Wang Y, Li W, et al. The Association between the baseline and the change in neutrophil-to-lymphocyte ratio and short-term mortality in patients with acute respiratory distress syndrome [J]. Frontiers in Medicine, 2021,8:636869. [24] Du X, Zhang Y, Liu C, et al. Fine particulate matter constituents and sub-clinical outcomes of cardiovascular diseases: A multi-center study in China [J]. Science of the Total Environment, 2021,759:143555. [25] Curto A, Ranzani O, Milà C, et al. Lack of association between particulate air pollution and blood glucose levels and diabetic status in peri-urban India [J]. Environment International, 2019,131:105033. [26] Liu L, Zhang Y, Yang Z, et al. Long-term exposure to fine particulate constituents and cardiovascular diseases in Chinese adults [J]. Journal of Hazardous Materials, 2021,416:126051. [27] McGuinn L A, Schneider A, McGarrah R W, et al. Association of long-term PM2.5 exposure with traditional and novel lipid measures related to cardiovascular disease risk [J]. Environment International, 2019,122:193-200. [28] He Z Z, Guo P Y, Xu S L, et al. Associations of particulate matter sizes and chemical constituents with blood lipids: A panel study in Guangzhou, China [J]. Environmental Science and Technology, 2021, 55(8):5065-5075. [29] Mao S, Chen G, Liu F, et al. Long-term effects of ambient air pollutants to blood lipids and dyslipidemias in a Chinese rural population [J]. Environmental Pollution, 2020,256:113403. [30] O'Toole TE, Hellmann J, Wheat L, et al. Episodic exposure to fine particulate air pollution decreases circulating levels of endothelial progenitor cells [J]. Circulation Research, 2010,107(2):200-203. [31] Rehman K, Fatima F, Waheed I, et al. Prevalence of exposure of heavy metals and their impact on health consequences [J]. Journal of Cellular Biochemistry, 2018,119(1):157-184. [32] Kang J, Liao J, Xu S, et al. Associations of exposure to fine particulate matter during pregnancy with maternal blood glucose levels and gestational diabetes mellitus: Potential effect modification by ABO blood group [J]. Ecotoxicology and Environmental Safety, 2020,198:110673. [33] Sielski J, Kaziród-Wolski K, Jóźwiak MA, et al. The influence of air pollution by PM2.5, PM10 and associated heavy metals on the parameters of out-of-hospital cardiac arrest [J]. Science of The Total Environment, 2021,788:147541. [34] Su T Y, Jeng H A, Hsu Y T, et al. Impact of heavy metals in ambient air on insulin resistance of shipyard welders in Northern Taiwan [J]. Sustainability, 2021,13. [35] Wang W, Zhou J, Chen M, et al. Exposure to concentrated ambient PM2.5 alters the composition of gut microbiota in a murine model [J]. Particle and Fibre Toxicology, 2018,15(1):17. [36] Kang N, Wu R, Liao W, et al. Association of long-term exposure to PM2.5 constituents with glucose metabolism in Chinese rural population [J]. Science of The Total Environment, 2023,859(Pt 2): 160364. [37] Zhou P, Hu J, Yu, et al. Short-term exposure to fine particulate matter constituents and mortality: case-crossover evidence from 32 counties in China [J]. Science China-life sciences, 2022,65(12):2527-2538. [38] Rajkumar S, Young B N, Clark M L, et al. Household air pollution from biomass-burning cookstoves and metabolic syndrome, blood lipid concentrations, and waist circumference in Honduran women: A cross-sectional study [J]. Environmental Research, 2019,170:46-55. [39] Yang S, Hong F, Li S, et al. The association between chemical constituents of ambient fine particulate matter and obesity in adults: A large population-based cohort study [J]. Environmental Research, 2023,231(Pt 2):116228. [40] Yang B Y, Bloom M S, Markevych I, et al. Exposure to ambient air pollution and blood lipids in adults: The 33 Communities Chinese Health Study [J]. Environment International, 2018,119:485-492. [41] 张芳娣,马玲娣,何继宏,等.糖尿病前期人群血脂异常及危险因素分析 [J]. 现代诊断与治疗, 2019,30(2):266-267.Zhang F D, Ma L D, He J H, et al. Analysis of dyslipidemia and risk factors in prediabetic patients [J]. Modern Diagnosis and Therapy, 2019,30(2):266-267. [42] 陶 然,周金意,苏 健,等.江苏省成年人血脂异常与糖尿病关系 [J]. 中国公共卫生, 2015,31(5):558-562.Tao R, Zhou J Y, Su J, et al. Relationship between dyslipidemia and diabetes mellitus among adult residents in Jiangsu province [J]. China Public Health, 2015,31(5):558-562. [43] 赵 娅,万 沁.糖尿病前期人群血脂特点及其对糖尿病前期转归的影响研究 [J]. 中国全科医学, 2016,19(1):54-58).Zhao Y, Wan Q. Characteristics of blood lipid level of prediabetes patients and its influence on patients' outcome [J]. Chinese General Practice, 2016,19(1):54-58. [44] Liang Z, Zhao L, Qiu J, et al. PM2.5 exposure increases the risk of preterm birth in pre-pregnancy impaired fasting glucose women: A cohort study in a Southern province of China [J]. Environmental Research, 2022,204(Pt D):112403. [45] Lucht S, Hennig F, Moebus S, et al. Heinz nixdorf recall study investigative group. Air pollution and diabetes-related biomarkers in non-diabetic adults: A pathway to impaired glucose metabolism? [J]. Environment International, 2019,124:370-392. [46] Rückerl R, Hampel R, Breitner S, et al. Associations between ambient air pollution and blood markers of inflammation and coagulation/ fibrinolysis in susceptible populations [J]. Environment International, 2014,70:32-49. [47] Li H, Cai J, Chen R, et al. Particulate matter exposure and stress hormone levels: A randomized, double-blind, crossover trial of air purification [J]. Circulation, 2017,136(7):618-627. [48] 龚全友,侯芳丽,刘 华,等.2型糖尿病及前期患者血脂水平变化及其与胰岛素抵抗的关系 [J]. 中国合理用药探索, 2019,16(5):37-40.Gong Q Y, Hou F L, Liu H, et al. Changes of blood lipid levels in patients with Type 2Diabetes Mellitus and pre-diabetes mellitus and their relationship with insulin resistance [J]. Exploration of rational drug use in China, 2019,16(5):37-40. [49] Chen H, Vlahos R, Bozinovski S, et al. Effect of short-term cigarette smoke exposure on body weight, appetite and brain neuropeptide Y in mice [J]. Neuropsychopharmacology, 2005,30(4):713-719. [50] Zicha J, Kunes J, Devynck MA. Abnormalities of membrane function and lipid metabolism in hypertension: a review [J]. American Journal of Hypertension, 1999;12(3):315-331. [51] Xiao S, Liu R, Wei Y, et al. Air pollution and blood lipid markers levels: Estimating short and long-term effects on elderly hypertension inpatients complicated with or without type 2diabetes [J]. Environmental Pollution, 2016,215:135-140. |
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