Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches
Objective: Evidence from prior studies indicates that certain endocrine-disrupting chemicals (EDCs), such as phenols and phthalates, may serve as environmental risk factors for chronic obstructive pulmonary disease (COPD). However, no studies have examined the potential associations between EDCs and...
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Elsevier
2025-09-01
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| Series: | Ecotoxicology and Environmental Safety |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651325010462 |
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| author | Chenyuan Deng Yu Jiang Yuechun Lin Hengrui Liang Wei Wang Ying Huang Jianxing He |
| author_facet | Chenyuan Deng Yu Jiang Yuechun Lin Hengrui Liang Wei Wang Ying Huang Jianxing He |
| author_sort | Chenyuan Deng |
| collection | DOAJ |
| description | Objective: Evidence from prior studies indicates that certain endocrine-disrupting chemicals (EDCs), such as phenols and phthalates, may serve as environmental risk factors for chronic obstructive pulmonary disease (COPD). However, no studies have examined the potential associations between EDCs and preserved ratio impaired spirometry (PRISm), a precursor to COPD. Methods: Data from 1363 participants in the NHANES 2007–2012 dataset were analyzed. Multiple logistic regression was employed to investigate the associations between individual EDCs and PRISm. The mixed effects of multiple EDCs on PRISm were assessed using three mixture analysis models: weighted quantile sum (WQS) regression, quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR). Additionally, the mediating roles of uric acid and SII were examined. Furthermore, an innovative identification model for PRISm was developed using participants’ demographic information and EDC exposure levels. Results: WQS regression and Qgcomp demonstrated that each index rise in the EDC-mixture index increased the odds of PRISm by 63 % (OR=1.63, 95 % CI: 1.25–2.13, P < 0.001) and 41 % (OR=1.41, 95 % CI: 1.15–1.72, P < 0.001), and BKMR model confirmed the same positive direction. The overall mixture effect was primarily attributable to mono-isobutyl phthalate (MIBP), which also yielded the largest single-chemical odds ratio in multivariable logistic regression (OR=2.29, 95 % CI: 1.71–3.07, P < 0.001). Mediation analysis showed that SII and uric acid mediated 15.8 % and 15.6 % of the association between mixed EDCs and PRISm, respectively. The results of SHAP interpretability analysis based CatBoost model further highlighted MIBP as the most informative environmental predictor. Conclusion: These findings suggest that exposure to EDCs may be linked to the prevalence of PRISm. These results provide novel epidemiological evidence for PRISm. |
| format | Article |
| id | doaj-art-4bd91f008cea4a90a069a4f09a20d1ff |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-4bd91f008cea4a90a069a4f09a20d1ff2025-08-20T03:41:53ZengElsevierEcotoxicology and Environmental Safety0147-65132025-09-0130211870110.1016/j.ecoenv.2025.118701Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approachesChenyuan Deng0Yu Jiang1Yuechun Lin2Hengrui Liang3Wei Wang4Ying Huang5Jianxing He6Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, ChinaDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, ChinaDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, ChinaDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, ChinaDepartment of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, ChinaCorresponding authors.; Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, ChinaCorresponding authors.; Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou 510120, ChinaObjective: Evidence from prior studies indicates that certain endocrine-disrupting chemicals (EDCs), such as phenols and phthalates, may serve as environmental risk factors for chronic obstructive pulmonary disease (COPD). However, no studies have examined the potential associations between EDCs and preserved ratio impaired spirometry (PRISm), a precursor to COPD. Methods: Data from 1363 participants in the NHANES 2007–2012 dataset were analyzed. Multiple logistic regression was employed to investigate the associations between individual EDCs and PRISm. The mixed effects of multiple EDCs on PRISm were assessed using three mixture analysis models: weighted quantile sum (WQS) regression, quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR). Additionally, the mediating roles of uric acid and SII were examined. Furthermore, an innovative identification model for PRISm was developed using participants’ demographic information and EDC exposure levels. Results: WQS regression and Qgcomp demonstrated that each index rise in the EDC-mixture index increased the odds of PRISm by 63 % (OR=1.63, 95 % CI: 1.25–2.13, P < 0.001) and 41 % (OR=1.41, 95 % CI: 1.15–1.72, P < 0.001), and BKMR model confirmed the same positive direction. The overall mixture effect was primarily attributable to mono-isobutyl phthalate (MIBP), which also yielded the largest single-chemical odds ratio in multivariable logistic regression (OR=2.29, 95 % CI: 1.71–3.07, P < 0.001). Mediation analysis showed that SII and uric acid mediated 15.8 % and 15.6 % of the association between mixed EDCs and PRISm, respectively. The results of SHAP interpretability analysis based CatBoost model further highlighted MIBP as the most informative environmental predictor. Conclusion: These findings suggest that exposure to EDCs may be linked to the prevalence of PRISm. These results provide novel epidemiological evidence for PRISm.http://www.sciencedirect.com/science/article/pii/S0147651325010462Endocrine-disrupting chemicalPRISmNHANESMixture modelMachine learning |
| spellingShingle | Chenyuan Deng Yu Jiang Yuechun Lin Hengrui Liang Wei Wang Ying Huang Jianxing He Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches Ecotoxicology and Environmental Safety Endocrine-disrupting chemical PRISm NHANES Mixture model Machine learning |
| title | Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches |
| title_full | Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches |
| title_fullStr | Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches |
| title_full_unstemmed | Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches |
| title_short | Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches |
| title_sort | potential effects of endocrine disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches |
| topic | Endocrine-disrupting chemical PRISm NHANES Mixture model Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S0147651325010462 |
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