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Urinary volatile organic compound metabolites and COPD among US adults: mixture, interaction and mediation analysis

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机构: [1]Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China [2]Department of Nuclear Medicine, Tianjin Medical University General Hospital, Tianjin 300052, China [3]Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China [4]Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Department of Lung Cancer Surgery, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China [5]Department of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China [6]National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021 Beijing, China [7]Sichuan Lung Cancer Institute, Sichuan Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, China [8]Center of Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, 100730 Beijing, China
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关键词: Volatile organic compounds Chronic obstructive pulmonary disease Environmental mixtures Bayesian weighted quantile sum regression Quantile-based g-Computation Bayesian kernel machine regression

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Volatile organic compounds (VOCs) encompass hundreds of high production volume chemicals and have been reported to be associated with adverse respiratory outcomes such as chronic obstructive pulmonary disease (COPD). However, research on the combined toxic effects of exposure to various VOCs on COPD is lacking. We aimed to assess the effect of VOC metabolite mixture on COPD risk in a large population sample.We assessed the effect of VOC metabolite mixture on COPD risk in 5997 adults from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2020 (pre-pandemic) using multivariate logistic regression, Bayesian weighted quantile sum regression (BWQS), quantile-based g-Computation method (Qgcomp), and Bayesian kernel machine regression (BKMR). We explored whether these associations were mediated by white blood cell (WBC) count and total bilirubin.In the logistic regression model, we observed a significantly increased risk of COPD associated with 9 VOC metabolites. Conversely, N-acetyl-S-(benzyl)-L-cysteine (BMA) and N-acetyl-S-(n-propyl)-L-cysteine (BPMA) showed insignificant negative correlations with COPD risk. The overall mixture exposure demonstrated a significant positive relationship with COPD in both the BWQS model (adjusted odds ratio (OR) = 1.30, 95% confidence interval (CI): 1.06, 1.58) and BKMR model, and with marginal significance in the Qgcomp model (adjusted OR = 1.22, 95% CI: 0.98, 1.52). All three models indicated a significant effect of the VOC metabolite mixture on COPD in non-current smokers. WBC count mediated 7.1% of the VOC mixture associated-COPD in non-current smokers.Our findings provide novel evidence suggesting that VOCs may have adverse associations with COPD in the general population, with N, N- Dimethylformamide and 1,3-Butadiene contributing most. These findings underscore the significance of understanding the potential health risks associated with VOC mixture and emphasize the need for targeted interventions to mitigate the adverse effects on COPD risk.© 2024. The Author(s).

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出版当年[2023]版:
大类 | 2 区 环境科学与生态学
小类 | 2 区 环境科学 2 区 公共卫生、环境卫生与职业卫生
最新[2023]版:
大类 | 2 区 环境科学与生态学
小类 | 2 区 环境科学 2 区 公共卫生、环境卫生与职业卫生
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出版当年[2023]版:
Q1 ENVIRONMENTAL SCIENCES Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
最新[2023]版:
Q1 ENVIRONMENTAL SCIENCES Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

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第一作者机构: [1]Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
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