Association between urinary volatile organic compounds metabolites and rheumatoid arthritis among the adults from NHANES 2011–2018 DOI Creative Commons
Linquan Zhou, Dingwei Wu, Huina Chen

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 28, 2024

Rheumatoid arthritis (RA) is closely associated with environmental factors. Volatile organic compounds (VOCs) are a common environment pollutant which can induce autoimmune diseases. However, studies on the relationship between VOCs and RA still unclear. This study aimed to evaluate potential associations exposure urinary risk among adults. Data was analyzed from National Health Nutrition Examination Survey (NHANES) 2011–2018. We used logistics regression, restricted cubic splines (RCS) model, (Weighted Quantile Sum) WQS, qgcomp (Bayesian Kernel Machine Regression) BKMR models assess single mixed relationships RA. A total of 3390 participants 15 included in this study. The results showed that AMCC, CEMC, DHBC, MB3C, PHGA, PMMC were significantly higher than compare without Logistic regression model reveals AAMC, CYMC, HPMC, MB3C positive correlation age 20 50. Then qgcomp, suggest association RA, WQS highlighting CYMC CEMC as major contributors 20–59 group. In analysis, overall effects co-exposure displayed AMCC has significant 20–59. Furthermore, RCS proved linear According our results, we demonstrated certain (CYMC, AMCC) an increased prevalence adults

Language: Английский

Exposure to Volatile Organic Compounds in Relation to Visceral Adiposity Index and Lipid Accumulation Product Among U.S. Adults: NHANES 2011–2018 DOI Creative Commons

Ziyi Qian,

Chenxu Dai,

Siyan Chen

et al.

Toxics, Journal Year: 2025, Volume and Issue: 13(1), P. 46 - 46

Published: Jan. 9, 2025

Volatile organic compounds (VOCs) are associated with obesity health risks, while the association of mixed VOCs visceral adiposity indicators remains unclear. In this study, a total 2015 adults from National Health and Nutrition Examination Survey (NHANES) were included. Weighted generalized linear models, restricted cubic spline (RCS), weighted quantile sum (WQS), Bayesian kernel machine regression (BKMR) adopted to assess VOC metabolites (mVOCs) index (VAI) lipid accumulation product (LAP). Multiple mVOCs positively VAI LAP in single-exposure model, especially N-acetyl-S-(2-carboxyethyl)-L-cysteine (CEMA) N-acetyl-S-(N-methylcarbamoyl)-L-cysteine (AMCC). The associations more significant <60-year-old non-obese individuals, interactions CEMA age AMCC status. Nonlinear relationships between certain or also observed. WQS co-exposure was correlated [β (95%CI): 0.084 (0.022, 0.147)]; (25.24%) major contributor. result BKMR revealed positive trend VAI. Our findings suggest that exposure is strongly indicators. Further large prospective investigations necessary support our findings.

Language: Английский

Citations

0
Exposure to volatile organic compounds and suicidal ideation: Insights from a U.S. population-based study DOI Creative Commons
Huan He, Zhonghua Sun, Xin Chen

et al.

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: 379, P. 194 - 203

Published: March 11, 2025

Exposure to volatile organic compounds (VOCs) has been increasingly linked mental health disorders, but the relationship between VOCs exposure and suicidal ideation (SI) remains unclear. This study aims investigate link prevalence of SI. We analyzed data from 6966 participants in 2005-2020 National Health Nutrition Examination Survey. SI was assessed using ninth item Patient Questionnaire-9. Key urinary metabolites (mVOCs) associated with were identified elastic net regression models. Multivariate logistic restricted cubic spline used explore associations individual mVOCs To evaluate impact mixtures on SI, we applied Environmental Risk Score Weighted Quantile Sum Mediation analysis conducted determine whether inflammation oxidative stress pathways contribute observed associations. Among participants, 253 reported Across various models, only N-Acetyl-S-(2-cyanoethyl)-L-cysteine (CYMA) consistently showed a significant linear association Mixture analyses indicated positive prevalence. suggested that are unlikely be primary mechanisms linking provides first epidemiological evidence an CYMA as most critical influencing The findings suggest does not primarily involve or pathways.

Language: Английский

Citations

0
Association between exposure to volatile organic compounds and atherogenic index of plasma in NHANES 2011–2018 DOI Creative Commons
Lingzhuang Meng, Yuqing Wang, Xi‐Sheng Wang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 16, 2025

Volatile organic compounds (VOCs) are prevalent in daily life, yet the relationship between VOCs exposure and atherogenic index of plasma (AIP) remains inadequately explored, especially populations with high levels exposure. This study aims to investigate non-linear association AIP U.S. adult population. Data from National Health Nutrition Examination Survey (NHANES) collected 2011 2018 were analyzed. A range statistical techniques, including Spearman's correlation analysis, weighted quantile sum (WQS), multivariate logistic regression, restricted cubic splines (RCS), stratified threshold models, bayesian kernel machine regression (BKMR), systematically employed assess high-dose adults. The included 6,027 participants, an average age 37 (18–59), 50.46% male. Of these, 3,011 had elevated levels. Mann-Whitney U test compared across quartiles (Q1–Q4). Spearman models revealed strong joint effects like IPMA3 HMPMA (ρ = 0.97). WQS showed a positive total cholesterol (TC) (β 5.45, 95% CI 5.42–5.58, P 0.04) high-density lipoprotein (HDL-C) 1.07, 1.03–1.10, 0.02). After adjusting for confounders, that such as 3-4MHA, 34DMA, AAMA, ATCA, CYMA, HEMA, SBMA linked higher AIP. RCS analysis indicated nonlinear Stratified modeling found ATCA was significantly positively associated (OR 1.60, 1.20–2.14, p < 0.01), when exceeded 128.60 ng/mL, there 60% increased risk Higher urinary levels, particularly AIP, offering new insights into potential link cardiovascular disease.

Language: Английский

Citations

0
Independent and combined associations of VOCs exposure and MetS in the NHANES 2017–2020 DOI Creative Commons
Xin Gao,

Shanshan Xu,

Na Lv

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: March 21, 2025

Introduction As a worldwide public health concern, Metabolic syndrome (MetS) seriously endangers human and life safety. It`s reported that there is strong association between chemical pollutants the development of MetS in recent years. Volatile organic compounds (VOCs), primary emission pollutant atmospheric pollutants, were closely associated with chronic diseases. However, VOCs exposure unclear. We aimed to investigate identify behavioral patterns which patients may be exposed VOCs. Methods conducted cross-sectional data analysis from 15,560 VOC-exposed participants NHANES . Multivariable logistic regression model, weighted quantile sum (WQS) Bayesian kernel machine (BKMR) model employed explore exposure`s independent combined effects on MetS, respectively. Results A total 2,531 individuals included our study, whom 51.28% had 48.72% non-MetS. The identified N-acetyl-S-(N- methylcarbamoyl)-L-cysteine (AMCC), N-acetyl-S-(2-carboxyethyl)-L-cysteine (CEMA), N-acetyl-S-(2- cyanoethyl)-L- cysteine (CYMA) MetS. In WQS analysis, index was significantly AMCC, trans,trans-Muconic acid (t,t-MA), N-Acetyl-S-(1-cyano-2- hydroxyethyl)- L-cysteine (CYHA), CEMA, 2-Thioxothiazolidine-4-carboxylic (TTCA), N-acetyl- S-(3- hydroxypropyl-1-methyl)-L-cysteine (HPMM), CYMA, N-acetyl-S-(3,4-dihydroxybutyl)-L-cysteine (NADB), N-Acetyl-S-(4-hydroxy-2-methyl-2-buten-1-yl)-L-cysteine (IPM3 cysteine). Finally, positively CEMA CYMA BKMR model. Discussion summary, we demonstrated their` metabolism Compared results these three models, as factors This study provides research direction for mechanism induce onset

Language: Английский

Citations

0
The association between exposure to volatile organic chemicals and serum α-Klotho in USA middle to old aged population: A cross-sectional study from NHANES 2011–2016 DOI

Mingcun Hu,

Min Yang, Hui Tang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 934, P. 173083 - 173083

Published: May 17, 2024

Language: Английский

Citations

3
Association of volatile organic compound exposure and metabolic syndrome DOI
Hyongjong Koh, Jinwook Chung, Sung Jin Moon

et al.

Environmental Toxicology and Pharmacology, Journal Year: 2024, Volume and Issue: unknown, P. 104581 - 104581

Published: Oct. 1, 2024

Language: Английский

Citations

0
Association of Metabolic Syndrome with Urinary Concentration of Acrolein Biomarker 3-Hydroxypropyl Mercapturic Acid (3-HPMA): Korea National Health and Nutrition Examination Survey 2020~2021 DOI Creative Commons

H. Mo,

Sangshin Park

Korean Journal of Environmental Health Sciences, Journal Year: 2024, Volume and Issue: 50(5), P. 351 - 358

Published: Oct. 30, 2024

Language: Английский

Citations

0
Association between urinary volatile organic compounds metabolites and rheumatoid arthritis among the adults from NHANES 2011–2018 DOI Creative Commons
Linquan Zhou, Dingwei Wu, Huina Chen

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 28, 2024

Rheumatoid arthritis (RA) is closely associated with environmental factors. Volatile organic compounds (VOCs) are a common environment pollutant which can induce autoimmune diseases. However, studies on the relationship between VOCs and RA still unclear. This study aimed to evaluate potential associations exposure urinary risk among adults. Data was analyzed from National Health Nutrition Examination Survey (NHANES) 2011–2018. We used logistics regression, restricted cubic splines (RCS) model, (Weighted Quantile Sum) WQS, qgcomp (Bayesian Kernel Machine Regression) BKMR models assess single mixed relationships RA. A total of 3390 participants 15 included in this study. The results showed that AMCC, CEMC, DHBC, MB3C, PHGA, PMMC were significantly higher than compare without Logistic regression model reveals AAMC, CYMC, HPMC, MB3C positive correlation age 20 50. Then qgcomp, suggest association RA, WQS highlighting CYMC CEMC as major contributors 20–59 group. In analysis, overall effects co-exposure displayed AMCC has significant 20–59. Furthermore, RCS proved linear According our results, we demonstrated certain (CYMC, AMCC) an increased prevalence adults

Language: Английский

Citations

0