Inflammation mediates the adverse effects of urinary phthalate exposure on metabolic disease risk: Results from NHANES 2005–2016 DOI Creative Commons
Chenyang Gu,

Teng Yao,

Chenxian Dong

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117577 - 117577

Published: Dec. 26, 2024

Language: Английский

Associations between Trichlorophenols and Cancer Risk and Prognosis: A National Population-Based Study DOI

Jiayin Ou,

Jianhe Zhao,

Jiayu Li

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Health Impacts of Per- and Polyfluoroalkyl Substances (PFASs): A Comprehensive Review DOI Creative Commons
Csilla Mišľanová, Martina Valachovičová

Life, Journal Year: 2025, Volume and Issue: 15(4), P. 573 - 573

Published: April 1, 2025

Per- and polyfluoroalkyl substances (PFASs) are among the persistent organic pollutants characterized by their persistence in environment, high mobility, adverse impact not only on ecosystem but also human health. The biggest challenges biomonitoring low concentrations of PFASs biological matrices presence matrix interferents samples. combination liquid chromatography with tandem mass spectrometry (LC-MS/MS) solid-phase extraction (SPE) as a sample preparation technique appears to be most suitable solution for achieving desired selectivity sensitivity PFAS determination. aim this review is describe possible sources PFASs, various matrices, analytical methods determining different using pretreatment techniques complex samples, well health risks associated exposure. studied include PFOA PFOS, which frequently detected such plasma, serum, breast milk. average range from 1.0 2.6 ng.mL−1 1.9 2.4 0.4 3.1 For were 2.0–4.0 ng.mL−1, 3.7–4.6 3.6–4.8 milk, respectively. significant effects exposure long-chain (such PFOS) lipid disorders, hypertension, diabetes mellitus, thyroid infertility, cancer, obesity, autism, neurodevelopmental issues, cardiovascular diseases, kidney liver disorders. It utmost importance monitor exposure, predict toxicity, develop effective strategies mitigate potential

Language: Английский

Citations

0

Association between perfluoroalkyl and polyfluoroalkyl substances and adolescents' sleep disorders: NHANES 2005–2018 DOI Creative Commons
Bo Gao, Yanju Gong, Yan Lu

et al.

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: May 9, 2025

Background Previous research indicates that per- and polyfluoroalkyl substances (PFAS) can disrupt metabolism neurological function via endocrine pathway interference neuroinflammation. These effects may impair melatonin secretion circadian rhythm regulation, suggesting potential links to sleep health. However, the impact of PFAS exposure on adolescent remains unclear. This study examines associations between health indicators in U.S. adolescents. Methods Data from 838 adolescents who participated 2005–2018 National Health Nutrition Examination Survey (NHANES) were analyzed investigate association physician-diagnosed disorders. Eight compounds identified. Multivariate logistic regression models, restricted cubic spline (RCS) curves, Bayesian kernel machine (BKMR), weighted quantile sum (WQS) used assess single, linear, combined Results Negative observed disorders three compounds, specifically perfluorooctanoic acid (PFOA), perfluorooctanesulfonic (PFOS), perfluorononanoic (PFNA). RCS analysis revealed a significant linear relationship ( P for non-linear > 0.05). The BKMR WQS models demonstrated effect disorders, with PFOS demonstrating most substantial contribution (effect size: 0.91). stratified had greater females [odds ratio (OR): 0.54, 95% confidence interval (CI): 0.33–0.87] than males (OR: 0.50, CI: 0.24–1.01), sex-specific differences vulnerability. Conclusions Our findings indicate negative correlation specific adolescents, being dominant component mixture stronger females. due cross-sectional nature study, causal cannot be established. results highlight public need further underlying mechanisms pathways future longitudinal or experimental studies.

Language: Английский

Citations

0

A machine learning approach to predicting postoperative recurrence in pediatric chronic rhinosinusitis: identification of key metabolic biomarkers DOI Creative Commons
Shenghao Cheng, Sijie Jiang, Shaobing Xie

et al.

American Journal of Otolaryngology, Journal Year: 2025, Volume and Issue: 46(5), P. 104676 - 104676

Published: May 14, 2025

Language: Английский

Citations

0

Associations of systemic inflammation and systemic immune inflammation with serum uric acid concentration and hyperuricemia risk: the mediating effect of body mass index DOI Creative Commons

Yueyue Zhang,

Shichao Han, Zhizhou Duan

et al.

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 9, 2024

With the development of lifestyle, elevated uric acid and hyperuricemia have become important factors affecting human health, but biological mechanism risk are still unclear.

Language: Английский

Citations

1

Inflammation mediates the adverse effects of urinary phthalate exposure on metabolic disease risk: Results from NHANES 2005–2016 DOI Creative Commons
Chenyang Gu,

Teng Yao,

Chenxian Dong

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 290, P. 117577 - 117577

Published: Dec. 26, 2024

Language: Английский

Citations

0