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Urinary volatile organic compound metabolites and COPD among US adults: mixture, interaction and mediation analysis
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...
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Published in: | Environmental health 2024-05, Vol.23 (1), p.45-45, Article 45 |
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description | 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. |
doi_str_mv | 10.1186/s12940-024-01086-y |
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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.</description><identifier>ISSN: 1476-069X</identifier><identifier>EISSN: 1476-069X</identifier><identifier>DOI: 10.1186/s12940-024-01086-y</identifier><identifier>PMID: 38702703</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>1,3-Butadiene ; Adult ; Adults ; Aged ; Air Pollutants - analysis ; Air pollution ; Analysis ; Asthma ; Bayesian analysis ; Bayesian kernel machine regression ; Bayesian theory ; Bayesian weighted quantile sum regression ; Bilirubin ; Blood cell count ; Blood cells ; Body mass index ; Bronchitis ; Butadiene ; Chronic obstructive pulmonary disease ; Computation ; Confidence intervals ; Cysteine ; Dimethylformamide ; Emphysema ; Environmental mixtures ; Female ; Health risks ; Health surveys ; Humans ; Inflammation ; Leukocytes ; Logistic Models ; Lung diseases ; Lung diseases, Obstructive ; Male ; Mathematical models ; Mediation ; Mediation Analysis ; Metabolites ; Middle Aged ; Mixtures ; Nutrition ; Nutrition Surveys ; Organic compounds ; Outdoor air quality ; Pandemics ; Probability theory ; Pulmonary Disease, Chronic Obstructive - chemically induced ; Pulmonary Disease, Chronic Obstructive - epidemiology ; Quantile-based g-Computation ; Quantiles ; Questionnaires ; Regression models ; Smoking ; Statistical analysis ; United States - epidemiology ; Urine ; VOCs ; Volatile organic compounds ; Volatile Organic Compounds - urine</subject><ispartof>Environmental health, 2024-05, Vol.23 (1), p.45-45, Article 45</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c420t-b915c7705621965bde9ac5dbd1badde01728083b68c182d9a4412a6e1dd6a5f43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/3054212085?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38702703$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Ying</creatorcontrib><creatorcontrib>Meng, Zhaowei</creatorcontrib><creatorcontrib>Wei, Sen</creatorcontrib><creatorcontrib>Li, Xuebing</creatorcontrib><creatorcontrib>Su, Zheng</creatorcontrib><creatorcontrib>Jiang, Yong</creatorcontrib><creatorcontrib>Wu, Heng</creatorcontrib><creatorcontrib>Pan, Hongli</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Zhou, Qinghua</creatorcontrib><creatorcontrib>Qiao, Youlin</creatorcontrib><creatorcontrib>Fan, Yaguang</creatorcontrib><title>Urinary volatile organic compound metabolites and COPD among US adults: mixture, interaction and mediation analysis</title><title>Environmental health</title><addtitle>Environ Health</addtitle><description>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.</description><subject>1,3-Butadiene</subject><subject>Adult</subject><subject>Adults</subject><subject>Aged</subject><subject>Air Pollutants - analysis</subject><subject>Air pollution</subject><subject>Analysis</subject><subject>Asthma</subject><subject>Bayesian analysis</subject><subject>Bayesian kernel machine regression</subject><subject>Bayesian theory</subject><subject>Bayesian weighted quantile sum regression</subject><subject>Bilirubin</subject><subject>Blood cell count</subject><subject>Blood cells</subject><subject>Body mass index</subject><subject>Bronchitis</subject><subject>Butadiene</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Computation</subject><subject>Confidence intervals</subject><subject>Cysteine</subject><subject>Dimethylformamide</subject><subject>Emphysema</subject><subject>Environmental mixtures</subject><subject>Female</subject><subject>Health risks</subject><subject>Health surveys</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Leukocytes</subject><subject>Logistic Models</subject><subject>Lung diseases</subject><subject>Lung diseases, Obstructive</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Mediation</subject><subject>Mediation Analysis</subject><subject>Metabolites</subject><subject>Middle Aged</subject><subject>Mixtures</subject><subject>Nutrition</subject><subject>Nutrition Surveys</subject><subject>Organic compounds</subject><subject>Outdoor air quality</subject><subject>Pandemics</subject><subject>Probability theory</subject><subject>Pulmonary Disease, Chronic Obstructive - chemically induced</subject><subject>Pulmonary Disease, Chronic Obstructive - epidemiology</subject><subject>Quantile-based g-Computation</subject><subject>Quantiles</subject><subject>Questionnaires</subject><subject>Regression models</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>United States - epidemiology</subject><subject>Urine</subject><subject>VOCs</subject><subject>Volatile organic compounds</subject><subject>Volatile Organic Compounds - urine</subject><issn>1476-069X</issn><issn>1476-069X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkkuLFDEUhQtRnHH0D7iQgBsXlt6kUknK3dC-BgZG0AZ34VaSatJUVdokJfa_N_1wFFd58N1zc25OVT2n8IZSJd4myjoONTBeAwUl6v2D6pJyKWoQ3feH_-wvqicpbQGoVKJ9XF00SgKT0FxWaR39jHFPfoYRsx8dCXGDszfEhGkXltmSyWXsw-izSwTLeXX35T3BKcwbsv5K0C5jTu_I5H_lJbrXxM_ZRTTZh_mIT856PJ9w3CefnlaPBhyTe3Zer6r1xw_fVp_r27tPN6vr29pwBrnuO9oaKaEVjHai7a3r0LS2t7RHa10xwxSophfKUMVsh5xThsJRawW2A2-uqpuTrg241bvop2JUB_T6eFGMaozZm9HpvgNpjXJ8sJJ3hmEZUIuSHlobBwetVyetXQw_FpeynnwybhxxdmFJuoEWOs54AwV9-R-6DUss3o8UZ5SBav9SGyz9_TyEXKZ2ENXXsmsoLYKiUOxEmRhSim64t0FBH0KgTyHQJQT6GAK9L0Uvzg9Y-jL9-5I_v978BnFGrEU</recordid><startdate>20240503</startdate><enddate>20240503</enddate><creator>Wang, Ying</creator><creator>Meng, Zhaowei</creator><creator>Wei, Sen</creator><creator>Li, Xuebing</creator><creator>Su, Zheng</creator><creator>Jiang, Yong</creator><creator>Wu, Heng</creator><creator>Pan, Hongli</creator><creator>Wang, Jing</creator><creator>Zhou, Qinghua</creator><creator>Qiao, Youlin</creator><creator>Fan, Yaguang</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>DOA</scope></search><sort><creationdate>20240503</creationdate><title>Urinary volatile organic compound metabolites and COPD among US adults: mixture, interaction and mediation analysis</title><author>Wang, Ying ; Meng, Zhaowei ; Wei, Sen ; Li, Xuebing ; Su, Zheng ; Jiang, Yong ; Wu, Heng ; Pan, Hongli ; Wang, Jing ; Zhou, Qinghua ; Qiao, Youlin ; Fan, Yaguang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-b915c7705621965bde9ac5dbd1badde01728083b68c182d9a4412a6e1dd6a5f43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>1,3-Butadiene</topic><topic>Adult</topic><topic>Adults</topic><topic>Aged</topic><topic>Air Pollutants - analysis</topic><topic>Air pollution</topic><topic>Analysis</topic><topic>Asthma</topic><topic>Bayesian analysis</topic><topic>Bayesian kernel machine regression</topic><topic>Bayesian theory</topic><topic>Bayesian weighted quantile sum regression</topic><topic>Bilirubin</topic><topic>Blood cell count</topic><topic>Blood cells</topic><topic>Body mass index</topic><topic>Bronchitis</topic><topic>Butadiene</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Computation</topic><topic>Confidence intervals</topic><topic>Cysteine</topic><topic>Dimethylformamide</topic><topic>Emphysema</topic><topic>Environmental mixtures</topic><topic>Female</topic><topic>Health risks</topic><topic>Health surveys</topic><topic>Humans</topic><topic>Inflammation</topic><topic>Leukocytes</topic><topic>Logistic Models</topic><topic>Lung diseases</topic><topic>Lung diseases, Obstructive</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Mediation</topic><topic>Mediation Analysis</topic><topic>Metabolites</topic><topic>Middle Aged</topic><topic>Mixtures</topic><topic>Nutrition</topic><topic>Nutrition Surveys</topic><topic>Organic compounds</topic><topic>Outdoor air quality</topic><topic>Pandemics</topic><topic>Probability theory</topic><topic>Pulmonary Disease, Chronic Obstructive - 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Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Environmental health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Ying</au><au>Meng, Zhaowei</au><au>Wei, Sen</au><au>Li, Xuebing</au><au>Su, Zheng</au><au>Jiang, Yong</au><au>Wu, Heng</au><au>Pan, Hongli</au><au>Wang, Jing</au><au>Zhou, Qinghua</au><au>Qiao, Youlin</au><au>Fan, Yaguang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Urinary volatile organic compound metabolites and COPD among US adults: mixture, interaction and mediation analysis</atitle><jtitle>Environmental health</jtitle><addtitle>Environ Health</addtitle><date>2024-05-03</date><risdate>2024</risdate><volume>23</volume><issue>1</issue><spage>45</spage><epage>45</epage><pages>45-45</pages><artnum>45</artnum><issn>1476-069X</issn><eissn>1476-069X</eissn><abstract>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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38702703</pmid><doi>10.1186/s12940-024-01086-y</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 1,3-Butadiene Adult Adults Aged Air Pollutants - analysis Air pollution Analysis Asthma Bayesian analysis Bayesian kernel machine regression Bayesian theory Bayesian weighted quantile sum regression Bilirubin Blood cell count Blood cells Body mass index Bronchitis Butadiene Chronic obstructive pulmonary disease Computation Confidence intervals Cysteine Dimethylformamide Emphysema Environmental mixtures Female Health risks Health surveys Humans Inflammation Leukocytes Logistic Models Lung diseases Lung diseases, Obstructive Male Mathematical models Mediation Mediation Analysis Metabolites Middle Aged Mixtures Nutrition Nutrition Surveys Organic compounds Outdoor air quality Pandemics Probability theory Pulmonary Disease, Chronic Obstructive - chemically induced Pulmonary Disease, Chronic Obstructive - epidemiology Quantile-based g-Computation Quantiles Questionnaires Regression models Smoking Statistical analysis United States - epidemiology Urine VOCs Volatile organic compounds Volatile Organic Compounds - urine |
title | Urinary volatile organic compound metabolites and COPD among US adults: mixture, interaction and mediation analysis |
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