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Chronister BNC, Justo D, Wood RJ, Lopez-Paredes D, Gonzalez E, Suarez-Torres J, Gahagan S, Martinez D, Jacobs DR, Checkoway H, Jankowska MM, Suarez-Lopez JR. Sex and adrenal hormones in association with insecticide biomarkers among adolescents living in ecuadorian agricultural communities. Int J Hyg Environ Health 2024; 259:114386. [PMID: 38703462 DOI: 10.1016/j.ijheh.2024.114386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 04/09/2024] [Accepted: 04/22/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Organophosphate, pyrethroid, and neonicotinoid insecticides have resulted in adrenal and gonadal hormone disruption in animal and in vitro studies; limited epidemiologic evidence exists in humans. We assessed relationships of urinary insecticide metabolite concentrations with adrenal and gonadal hormones in adolescents living in Ecuadorean agricultural communities. METHODS In 2016, we examined 522 Ecuadorian adolescents (11-17y, 50.7% female, 22% Indigenous; ESPINA study). We measured urinary insecticide metabolites, blood acetylcholinesterase activity (AChE), and salivary testosterone, dehydroepiandrosterone (DHEA), 17β-estradiol, and cortisol. We used general linear models to assess linear (β = % hormone difference per 50% increase of metabolite concentration) and curvilinear relationships (β2 = hormone difference per unit increase in squared ln-metabolite) between ln-metabolite or AChE and ln-hormone concentrations, stratified by sex, adjusting for anthropometric, demographic, and awakening response variables. Bayesian Kernel Machine Regression was used to assess non-linear associations and interactions. RESULTS The organophosphate metabolite malathion dicarboxylic acid (MDA) had positive associations with testosterone (βboys = 5.88% [1.21%, 10.78%], βgirls = 4.10% [-0.02%, 8.39%]), and cortisol (βboys = 6.06 [-0.23%, 12.75%]. Para-nitrophenol (organophosphate) had negatively-trending curvilinear associations, with testosterone (β2boys = -0.17 (-0.33, -0.003), p = 0.04) and DHEA (β2boys = -0.49 (-0.80, -0.19), p = 0.001) in boys. The neonicotinoid summary score (βboys = 5.60% [0.14%, 11.36%]) and the neonicotinoid acetamiprid-N-desmethyl (βboys = 3.90% [1.28%, 6.58%]) were positively associated with 17β-estradiol, measured in boys only. No associations between the pyrethroid 3-phenoxybenzoic acid and hormones were observed. In girls, bivariate response associations identified interactions of MDA, Para-nitrophenol, and 3,5,6-trichloro-2-pyridinol (organophosphates) with testosterone and DHEA concentrations. In boys, we observed an interaction of MDA and Para-nitrophenol with DHEA. No associations were identified for AChE. CONCLUSIONS We observed evidence of endocrine disruption for specific organophosphate and neonicotinoid metabolite exposures in adolescents. Urinary organophosphate metabolites were associated with testosterone and DHEA concentrations, with stronger associations in boys than girls. Urinary neonicotinoids were positively associated with 17β-estradiol. Longitudinal repeat-measures analyses would be beneficial for causal inference.
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Affiliation(s)
- Briana N C Chronister
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA; School of Public Health, San Diego State University, San Diego, CA, 92182, USA
| | - Denise Justo
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Robert J Wood
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - Eduardo Gonzalez
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - Sheila Gahagan
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, 92093, USA
| | | | - David R Jacobs
- School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Harvey Checkoway
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA; Department of Neurosciences, University of California San Diego, La Jolla, CA, 92093, USA
| | - Marta M Jankowska
- Department of Population Sciences, Beckman Research Institute of City of Hope, Los Angeles, CA, 91010, USA
| | - Jose R Suarez-Lopez
- The Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, 92093, USA.
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Wu X, Wang S, Lin X, Liang H, Wu Y, Tan Y, Zeng H, Chen Q, Wang J, Huang F, Guo Z, Xing P, Nie J, Yao H, Fu Y, Yang Z, Zeng Z, Xu H, Zhong X, Jing C. Association between polycyclic aromatic hydrocarbons and infertility in U.S. women: National Health and Nutrition Examination Survey 2013-2016. Reprod Toxicol 2024; 125:108577. [PMID: 38499229 DOI: 10.1016/j.reprotox.2024.108577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 03/05/2024] [Accepted: 03/15/2024] [Indexed: 03/20/2024]
Abstract
Although there is a body of research indicating the potential impact of polycyclic aromatic hydrocarbons (PAHs) exposure on male infertility, the understanding of how PAH might affect female infertility is still limited. This study aimed to evaluate associations of PAHs, both individually and as a mixture, with female infertility using multiple logistic regression, Bayesian kernel machine regression (BKMR), and quantile g-computation (QGC) models based on data from the National Health and Nutrition Examination Survey (NHANES) 2013-2016. The study included 729 female participants. Multiple logistic regression results indicated that there was a significant association between the third tertile of 2-hydroxy fluorene (2-OHFLU) and female infertility, and the OR was 2.84 (95% CI: 1.24-6.53, P value = 0.015) compared with the first tertile after adjusting for the potential covariates. The BKMR model revealed a positive overall trend between mixed PAH exposure and female infertility, particularly when the mixture was at or above the 55th percentile, where 2-hydroxynaphthalene (2-OHNAP) and 1-hydroxypyrene (1-OHPYR) were the primary influences of the mixture. The univariate exposure-response function indicated positive associations between individual PAH exposure, specifically 2-OHNAP, 2-OHFLU, and 1-OHPYR, and female infertility. The QGC model also indicated a positive trend between exposure to a mixture of PAHs and female infertility, although it did not reach statistical significance (OR = 1.33, 95%CI: 0.86-2.07), with 1-OHPYR having the greatest positive effect on the outcome. This study suggested that exposure to PAHs may be associated with female infertility and further research is needed to consolidate and confirm these findings.
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Affiliation(s)
- Xiaomei Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Suixiang Wang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Xiaoxiao Lin
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Huanzhu Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Yingying Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Yuxuan Tan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Huixian Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Qian Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Jie Wang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Feng Huang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Ziang Guo
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Puyi Xing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Jiyu Nie
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Huojie Yao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Yingyin Fu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Zhiyu Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Zurui Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China
| | - Hongbiao Xu
- Department of Thyroid and Breast Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong 510080, China.
| | - Xingming Zhong
- Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou 510600, China.
| | - Chunxia Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No.601 Huangpu Ave West, Guangzhou, Guangdong 510632, China; Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, Guangdong 510632, China.
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Liu J, Yang T, Li Y, Li S, Li Y, Xu S, Xia W. Associations of maternal exposure to 2,4-dichlorophenoxyacetic acid during early pregnancy with steroid hormones among one-month-old infants. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169414. [PMID: 38114038 DOI: 10.1016/j.scitotenv.2023.169414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Exposure to 2,4-dichlorophenoxyacetic acid (2,4-D), a widely used hormonal herbicide, may disrupt steroid hormone homeostasis. However, evidence from population-based studies is limited, especially for one-month-old infants whose steroid hormones are in a state of adjustment to extrauterine life and can be important indicators of endocrine development. This study aimed to explore the associations between maternal 2,4-D exposure during early pregnancy and infant steroid hormone levels. METHODS The 885 mother-infant pairs were from a birth cohort in Wuhan, China. Maternal exposure to 2,4-D was determined in urine samples from early pregnancy, and nine steroid hormones were determined in infant urine. The associations of maternal 2,4-D exposure with infant steroid hormones and their product-to-precursor ratios were estimated based on generalized linear models, and bioinformatic analysis was conducted with public databases to explore the potential mechanisms involved. RESULTS The detection frequency of 2,4-D was 99.32 %, and the detection frequency of steroid hormones ranged from 98.42 % to 100.00 %. After adjusting for covariates, an interquartile range increase in 2,4-D concentrations was associated with a 7.84 % decrease in 11-deoxycortisol (95 % confidence interval, CI: -14.12 %, -1.10 %), an 8.09 % decrease in corticosterone (95 % CI: -14.56 %, -1.14 %), an 8.67 % decrease in cortisol (95 % CI: -14.43 %, -2.52 %), a 13.00 % decrease in cortisone (95 % CI: -20.64 %, -4.62 %), and an 11.17 % decrease in aldosterone (95 % CI: -19.62 %, -1.83 %). Maternal 2,4-D was also associated with lower infant cortisol/17α-OH-progesterone, cortisol/pregnenolone, and aldosterone/pregnenolone ratios. In bioinformatic analysis, pathways/biological processes related to steroid hormone synthesis and secretion were enriched from target genes of 2,4-D exposure. CONCLUSIONS Maternal urinary 2,4-D during early pregnancy was associated with lower infant urinary 11-deoxycortisol, corticosterone, cortisol, cortisone, and aldosterone, reflecting that 2,4-D exposure may interfere with infant steroid hormone homeostasis. Further efforts are still needed to study the relevant health effects of exposure to 2,4-D, particularly for vulnerable populations.
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Affiliation(s)
- Jiangtao Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tingting Yang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ying Li
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen 518055, Guangdong Province, China
| | - Shulan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Li X, Zheng N, Yu Y, Zhang W, Sun S, An Q, Li Z, Ji Y, Wang S, Shi Y, Li W. Individual and combined effects of phthalate metabolites on eczema in the United States population. ENVIRONMENTAL RESEARCH 2024; 240:117459. [PMID: 37914015 DOI: 10.1016/j.envres.2023.117459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/22/2023] [Accepted: 10/19/2023] [Indexed: 11/03/2023]
Abstract
Phthalates might trigger immune dysregulation. The relationship between a phthalate mixture exposure and eczema remains unclear. To address this research gap, four statistical models were used to investigate the individual, combined, and interaction relationships between monoesters of phthalates (MPAEs) and eczema, including the logistic regression, weighted quantile sum regression (WQS), quantile g computation (qg-computation), and bayesian kernel machine regression (BKMR). Moreover, subgroup analyses were performed by sex and age. After adjusting for all covariates, the logistic regression model suggested a positive correlation between mono-(3-carboxypropyl) phthalate (MCPP) and eczema. Subgroup analysis suggested that the effect of the MPAEs on eczema was predominantly present in men and children. In the WQS model, the joint effect of 11 MPAEs on eczema was marginally significant [odds ratio = 1.36, 95% confidence interval: 0.97-1.90]. Moreover, a positive association was observed between the combined exposure to 11 MPAEs and eczema in the BKMR model. MCPP and mono-(carboxynonyl) phthalate were the most substantial risk factors based on the results of WQS and qg-computation models. The exposure to a mixture of MPAEs may lead to an elevated prevalence of eczema in the United States population, with men and children being particularly vulnerable to their effects.
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Affiliation(s)
- Xiaoqian Li
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, Changchun, 130012, Jilin, China
| | - Na Zheng
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, Changchun, 130012, Jilin, China.
| | - Yan Yu
- Department of Dermatology, First Hospital of Jilin University, Changchun, 130021, Jilin, China
| | - Wenhui Zhang
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, Changchun, 130012, Jilin, China
| | - Siyu Sun
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, Changchun, 130012, Jilin, China
| | - Qirui An
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, Changchun, 130012, Jilin, China
| | - Zimeng Li
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, Changchun, 130012, Jilin, China
| | - Yining Ji
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, Changchun, 130012, Jilin, China
| | - Sujing Wang
- Key Laboratory of Groundwater Resources and Environment of the Ministry of Education, College of New Energy and Environment, Jilin University, Changchun, 130012, Jilin, China
| | - Ying Shi
- Department of Dermatology, First Hospital of Jilin University, Changchun, 130021, Jilin, China
| | - Wanlei Li
- Department of Dermatology, First Hospital of Jilin University, Changchun, 130021, Jilin, China
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Faÿs F, Palazzi P, Zeman F, Hardy EM, Schaeffer C, Rousselle C, Beausoleil C, Appenzeller BMR. Incorporation of Fast-Elimination Chemicals in Hair Is Governed by Pharmacokinetics-Implications for Exposure Assessment. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:7336-7345. [PMID: 37146304 DOI: 10.1021/acs.est.2c06777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Mechanisms governing chemicals' incorporation in hair are incompletely understood, and gaps remain to link the concentration of chemicals in hair to level of exposure and internal dose present in the body. This study assesses the relevance of hair analysis for the biomonitoring of exposure to fast-elimination compounds and investigates the role of pharmacokinetics (PK) in their incorporation in hair. Rats were administered with pesticides, bisphenols, phthalates, and DINCH over 2 months. Hairs were analyzed for 28 chemicals/metabolites to investigate correlations between their concentration in hair and the dose administered to the animals. Urine collected over 24 h after gavage was used to determine chemicals' PK and to investigate their influence on incorporation into hair by means of linear mixed models (LMMs). Eighteen chemicals presented a significant correlation between concentration in hair and level of exposure. In models combining all chemicals, agreement between concentration in hair predicted by LMM and experimental values was moderate (R2 = 0.19) but significantly increased when PK were included in the models (R2 = 0.37), and even more when chemical families were considered separately (e.g., R2 = 0.98 for pesticides). This study shows that pharmacokinetics mediate incorporation of chemicals in hair and suggests the relevance of hair for assessing exposure to fast-elimination chemicals.
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Affiliation(s)
- François Faÿs
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
- University of Luxembourg, 2, avenue de l'Université, L-4365 Esch-sur-Alzette, Luxembourg
| | - Paul Palazzi
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Florence Zeman
- Institut national de l'environnement industriel et des risques (INERIS), Direction des Risques Chroniques, Pôle Dangers et Impact sur le Vivant, Unité Modèle pour l'Ecotoxicologie et la Toxicologie (METO), Parc Technologique Alata, 60550 Verneuil-en-Halatte, France
| | - Emilie M Hardy
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Charline Schaeffer
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
| | - Christophe Rousselle
- ANSES, Risk Assessment Department, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France
| | - Claire Beausoleil
- ANSES, Risk Assessment Department, 14 rue Pierre et Marie Curie, 94701 Maisons-Alfort, France
| | - Brice M R Appenzeller
- Human Biomonitoring Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B rue Thomas Edison, 1445 Strassen, Luxembourg
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Wen L, Ben X, Yang Z, Wu Y, Tan Y, Chen Q, Liang H, Li Y, Wu X, Liu S, Weng X, Tian D, Jing C. Association between co-exposure of polycyclic aromatic hydrocarbons and chronic obstructive pulmonary disease among the US adults: results from the 2013-2016 National Health and Nutrition Examination Survey. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:62981-62992. [PMID: 36952158 DOI: 10.1007/s11356-023-26413-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 03/08/2023] [Indexed: 05/10/2023]
Abstract
Although existing epidemiological studies have reported the relationship between single polycyclic aromatic hydrocarbon (PAH) exposure and chronic obstructive pulmonary disease (COPD), little is known about the impact of PAH mixture exposure on COPD. Therefore, we aimed to evaluate the associations of single and mixed exposures to PAHs with COPD in US adults using data from NHANES 2013-2016 by fitting three statistical methods, including multiple logistic regression, Bayesian kernel machine regression (BKMR), and quantile-based g-computation (qgcomp) models. This study included 1836 participants aged 40 and older. Multiple logistic regression showed that 2-FLU, 1-PHE, 1-PYR, and 2&3-PHE increased the risk of COPD after adjusting for all covariates. The BKMR model identified positive trends between PAH mixture and the risk of COPD in all adults and males when all PAHs were at or above their 55th percentile compared to all PAHs at their 50th percentile. The qgcomp model suggested that PAH co-exposure increased the risk of COPD (OR:1.44, 95%CI:1.09, 1.90) when each quartile increased in PAH mixture concentration, with 2-FLU having the highest weight. The combined impact also be observed in men. In conclusion, PAHs co-exposure was associated with a higher risk of COPD, especially in males, with the positive impact of 2-FLU being the most important.
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Affiliation(s)
- Lin Wen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Xiaosong Ben
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Zhiyu Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Yingying Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Yuxuan Tan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Qian Chen
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Huanzhu Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Yexin Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Xiaomei Wu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Shan Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Xueqiong Weng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China
| | - Dan Tian
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Chunxia Jing
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, No. 601 Huangpu Ave West, Guangzhou, 510632, Guangdong, China.
- Guangdong Key Laboratory of Environmental Exposure and Health, Jinan University, Guangzhou, 510632, Guangdong, China.
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