Urinary polycyclic aromatic hydrocarbon metabolites and hyperlipidemia: NHANES 2007-2016.


Journal

Lipids in health and disease
ISSN: 1476-511X
Titre abrégé: Lipids Health Dis
Pays: England
ID NLM: 101147696

Informations de publication

Date de publication:
27 May 2024
Historique:
received: 28 03 2024
accepted: 17 05 2024
medline: 28 5 2024
pubmed: 28 5 2024
entrez: 27 5 2024
Statut: epublish

Résumé

The relationships between urinary polycyclic aromatic hydrocarbon (PAH) metabolites and hyperlipidemia have not been thoroughly studied. The primary goal of this research focused on investigating the linkage between PAH metabolite concentrations in urine and hyperlipidemia prevalence within US adults. A cross-sectional analysis was conducted using data from the 2007-2016 National Health and Nutrition Examination Survey (NHANES). Logistic regression models were used to assess correlations between urinary PAH metabolite levels and the risk of hyperlipidemia, while restricted cubic spline models were used to examine dose‒response relationships. Subgroup and interaction analyses were performed to further elucidate these associations. Weighted quantile sum (WQS) regression analyzed the cumulative impact of various urinary PAH metabolites on hyperlipidemia risk. This study included 7,030 participants. Notably, individuals in the highest quintile of urinary PAH metabolite concentrations exhibited a significantly elevated prevalence of hyperlipidemia, even after comprehensive adjustments (odds ratio [OR]: 1.33, 95% confidence interval [CI]: 1.01-1.75). Moreover, elevated levels of 1-hydroxyphenanthrene and 2-hydroxynaphthalene in the fourth quintile and 2-hydroxyfluorene in the third, fourth, and fifth quintiles demonstrated positive correlations with the prevalence of hyperlipidemia. These associations persisted across subgroup analyses. Additionally, a positive correlation between the urinary PAH metabolite mixture and hyperlipidemia (positive model: OR = 1.04, 95% CI: 1.00-1.09) was observed in the WQS model, and 2-hydroxynaphthalene showed the most substantial contribution. The cross-sectional analysis identified a significant correlation between urinary PAH metabolite and hyperlipidemia prevalence within the US demographic, with 2-hydroxynaphthalene being the predominant influencer. These findings underscore the need to mitigate PAH exposure as a preventive measure for hyperlipidemia.

Sections du résumé

BACKGROUND BACKGROUND
The relationships between urinary polycyclic aromatic hydrocarbon (PAH) metabolites and hyperlipidemia have not been thoroughly studied. The primary goal of this research focused on investigating the linkage between PAH metabolite concentrations in urine and hyperlipidemia prevalence within US adults.
METHODS METHODS
A cross-sectional analysis was conducted using data from the 2007-2016 National Health and Nutrition Examination Survey (NHANES). Logistic regression models were used to assess correlations between urinary PAH metabolite levels and the risk of hyperlipidemia, while restricted cubic spline models were used to examine dose‒response relationships. Subgroup and interaction analyses were performed to further elucidate these associations. Weighted quantile sum (WQS) regression analyzed the cumulative impact of various urinary PAH metabolites on hyperlipidemia risk.
RESULTS RESULTS
This study included 7,030 participants. Notably, individuals in the highest quintile of urinary PAH metabolite concentrations exhibited a significantly elevated prevalence of hyperlipidemia, even after comprehensive adjustments (odds ratio [OR]: 1.33, 95% confidence interval [CI]: 1.01-1.75). Moreover, elevated levels of 1-hydroxyphenanthrene and 2-hydroxynaphthalene in the fourth quintile and 2-hydroxyfluorene in the third, fourth, and fifth quintiles demonstrated positive correlations with the prevalence of hyperlipidemia. These associations persisted across subgroup analyses. Additionally, a positive correlation between the urinary PAH metabolite mixture and hyperlipidemia (positive model: OR = 1.04, 95% CI: 1.00-1.09) was observed in the WQS model, and 2-hydroxynaphthalene showed the most substantial contribution.
CONCLUSION CONCLUSIONS
The cross-sectional analysis identified a significant correlation between urinary PAH metabolite and hyperlipidemia prevalence within the US demographic, with 2-hydroxynaphthalene being the predominant influencer. These findings underscore the need to mitigate PAH exposure as a preventive measure for hyperlipidemia.

Identifiants

pubmed: 38802874
doi: 10.1186/s12944-024-02153-6
pii: 10.1186/s12944-024-02153-6
doi:

Substances chimiques

Polycyclic Aromatic Hydrocarbons 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

160

Subventions

Organisme : The Student Innovation Ability Enhancement Project under the First-class Professional Construction Project at Guangzhou Medical University
ID : 02-408-240603131128
Organisme : The Medical Scientific Research Foundation of Guangdong Province
ID : Nos. A2022125

Informations de copyright

© 2024. The Author(s).

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Auteurs

Chenle Ye (C)

Division of Gastroenterology, Institute of Digestive Disease of Guangzhou Medical University, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.

Yuanrun Liu (Y)

Division of Gastroenterology, Institute of Digestive Disease of Guangzhou Medical University, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.

Zhuoqi He (Z)

Division of Gastroenterology, Institute of Digestive Disease of Guangzhou Medical University, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.

Weikai Huang (W)

Division of Gastroenterology, Institute of Digestive Disease of Guangzhou Medical University, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.

Guangzhan Chen (G)

Division of Gastroenterology, Institute of Digestive Disease of Guangzhou Medical University, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.

Tieli Peng (T)

Division of Gastroenterology, Institute of Digestive Disease of Guangzhou Medical University, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China. pengtl@163.com.

Kaishu Li (K)

Department of Neurosurgery, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China. kaishu_li@126.com.
Institute of Digestive Disease of Guangzhou Medical University, Affiliated Qingyuan Hospital, Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China. kaishu_li@126.com.

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