Exposure to parabens and dysglycemia: Insights from a Chinese population.


Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 25 04 2023
revised: 05 08 2023
accepted: 17 08 2023
medline: 11 9 2023
pubmed: 20 8 2023
entrez: 19 8 2023
Statut: ppublish

Résumé

Parabens, a widely exposed environmental endocrine disruptor, were reported to disturb glucose metabolism through various pathways in animal models, but epidemiologic studies are limited. Therefore, this study aimed to investigate the plasma parabens level in rural populations and their effects of single and mixed paraben exposure on T2DM based on the Henan Rural Cohort. A total of 1713 participants (880 T2DM and 833 controls) from the Henan Rural Cohort Study were included in this case-control study. Generalized linear regression models were performed to assess the single and joint effects of parabens on T2DM and glucose metabolism indicators. In addition, the dose-response relationship of plasma parabens with T2DM and glucose metabolism indicators were explored by the restricted cubic splines. Bayesian kernel machine regression (BKMR) and quantile g-computation models were utilized to assess overall associations of paraben mixtures with T2DM and glucose metabolism indicators. Σparabens and methylparaben (MeP) exposure significantly increased the risk of T2DM (P < 0.01). However, ethylparaben (EtP) and butylparaben (BuP) were negatively related to T2DM (P < 0.01). Notably, non-linear relationships of EtP and BuP with T2DM were observed. When the level of EtP or BuP was above the inflection point observed in dose-response curve, the ORs and 95% CIs were 1.453 (1.252, 1.686) and 1.982 (1.444, 2.721), respectively. Moreover, the result of quantile g-computation also showed that exposure to high concentration of parabens mixture was positively related to the risk of T2DM. BKMR model indicated that parabens mixture was associated with glycometabolism following a U-shape and parabens mixture increased the risk of dysglycemia when all parabens concentrations were at or above their 55th percentile compared with the median. MeP or paraben mixture exposure levels showed a linear positive association with risk of T2DM. EtP and BuP were nonlinearly associated with glucose metabolism and moderate-high exposure contributed to T2DM.

Sections du résumé

BACKGROUND BACKGROUND
Parabens, a widely exposed environmental endocrine disruptor, were reported to disturb glucose metabolism through various pathways in animal models, but epidemiologic studies are limited. Therefore, this study aimed to investigate the plasma parabens level in rural populations and their effects of single and mixed paraben exposure on T2DM based on the Henan Rural Cohort.
METHODS METHODS
A total of 1713 participants (880 T2DM and 833 controls) from the Henan Rural Cohort Study were included in this case-control study. Generalized linear regression models were performed to assess the single and joint effects of parabens on T2DM and glucose metabolism indicators. In addition, the dose-response relationship of plasma parabens with T2DM and glucose metabolism indicators were explored by the restricted cubic splines. Bayesian kernel machine regression (BKMR) and quantile g-computation models were utilized to assess overall associations of paraben mixtures with T2DM and glucose metabolism indicators.
RESULTS RESULTS
Σparabens and methylparaben (MeP) exposure significantly increased the risk of T2DM (P < 0.01). However, ethylparaben (EtP) and butylparaben (BuP) were negatively related to T2DM (P < 0.01). Notably, non-linear relationships of EtP and BuP with T2DM were observed. When the level of EtP or BuP was above the inflection point observed in dose-response curve, the ORs and 95% CIs were 1.453 (1.252, 1.686) and 1.982 (1.444, 2.721), respectively. Moreover, the result of quantile g-computation also showed that exposure to high concentration of parabens mixture was positively related to the risk of T2DM. BKMR model indicated that parabens mixture was associated with glycometabolism following a U-shape and parabens mixture increased the risk of dysglycemia when all parabens concentrations were at or above their 55th percentile compared with the median.
CONCLUSION CONCLUSIONS
MeP or paraben mixture exposure levels showed a linear positive association with risk of T2DM. EtP and BuP were nonlinearly associated with glucose metabolism and moderate-high exposure contributed to T2DM.

Identifiants

pubmed: 37597620
pii: S0045-6535(23)02137-9
doi: 10.1016/j.chemosphere.2023.139868
pii:
doi:

Substances chimiques

butylparaben 3QPI1U3FV8
ethyl-p-hydroxybenzoate 14255EXE39
Glucose IY9XDZ35W2
methylparaben A2I8C7HI9T
Parabens 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

139868

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Yu Song (Y)

Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Mian Wang (M)

Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Luting Nie (L)

Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Wei Liao (W)

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Dandan Wei (D)

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Lulu Wang (L)

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Juan Wang (J)

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Qingqing Xu (Q)

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Changsheng Huan (C)

Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Zexin Jia (Z)

Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Zhenxing Mao (Z)

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Chongjian Wang (C)

Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.

Wenqian Huo (W)

Department of Occupational and Environmental Health, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China. Electronic address: huowenqian@zzu.edu.cn.

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Classifications MeSH