Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Perfluoroalkyl substances (PFASs) possess immunosuppressive properties. However, their association with rheumatoid arthritis (RA) risk remains inconclusive across epidemiological studies. This study integrates population-based and mechanistic evidence to clarify the relationship between PFAS exposure and RA. We analyzed 8743 U.S. adults from the NHANES (2005-2018), assessing individual and mixed exposures to PFOA, PFOS, PFNA, and PFHxS using multivariable logistic regression, Bayesian kernel machine regression, quantile g-computation, and weighted quantile sum models. Network toxicology and molecular docking were utilized to identify core targets mediating immune disruption. The results showed that elevated PFOA (OR = 1.63, 95% CI: 1.41-1.89), PFOS (OR = 1.41, 1.25-1.58), and PFNA (OR = 1.40, 1.20-1.63) levels significantly increased RA risk. Mixture analyses indicated a positive joint effect (WQS OR = 1.06, 1.02-1.10; qgcomp OR = 1.26, 1.16-1.38), with PFOA as the primary contributor. Stratified analyses revealed stronger effects in females (PFOA Q4 OR = 3.75, 2.36-5.97) and older adults (≥60 years). Core targets included EGFR, SRC, TP53, and CTNNB1. PFAS mixtures increase RA risk, dominated by PFOA and modulated by sex/age. These findings help reconcile prior contradictions by identifying key molecular targets and vulnerable subpopulations, supporting regulatory attention to PFAS mixture exposure.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12347686PMC
http://dx.doi.org/10.3390/ijms26157518DOI Listing

Publication Analysis

Top Keywords

pfas mixtures
8
rheumatoid arthritis
8
arthritis risk
8
mechanistic evidence
8
core targets
8
pfoa
5
perfluoroalkyl substance
4
pfas
4
substance pfas
4
mixtures drive
4

Similar Publications

Occurrence, distribution characteristics, and potential ecological risks of perfluorinated compounds in major estuaries and adjacent offshore areas in Hainan Island.

Mar Environ Res

September 2025

Center for Eco-Environment Restoration of Hainan Province, Hainan University, Haikou, 570228, China; Hainan International Joint Research Center for Reef Ecology, School of Ecology, Hainan University, Haikou, 570228, China. Electronic address:

Per- and polyfluoroalkyl substances (PFASs) have gained attention due to their chemical stability, bioaccumulation potential, and toxicity. The ocean serves as the ultimate sink for these compounds in the global environment. With the rapid development of the Hainan Free Trade Port, environmental pollution on Hainan Island has consequently become more pronounced.

View Article and Find Full Text PDF

Prenatal exposure to per- and polyfluoroalkyl substances: Association with child behavior in the environmental influences on child health outcomes (ECHO) Cohort.

Environ Int

August 2025

Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC, USA; Institute for Environmental Health Solutions, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, NC, USA. Electr

Background: Prenatal exposure to per- and polyfluoroalkyl substances (PFAS) may adversely impact child neurodevelopment; however, epidemiologic findings remain inconclusive because of small sample sizes, limited exposure variability, and differing neurodevelopmental measures. We aimed to investigate the relationship between prenatal PFAS exposure and child behavior.

Methods: We pooled data from nine study sites in the nationwide Environmental influences on Child Health Outcomes (ECHO) Cohort.

View Article and Find Full Text PDF

Prenatal exposure to a mixture of per- and polyfluoroalkyl substances (PFAS) and lung function and immune-related outcomes among males in childhood and young adulthood.

Environ Res

September 2025

Department of Occupational and Environmental Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Denmark; Department of Public Health, Section of Environmental Health, University of Copenhagen, Denmark.

Background: Prenatal exposure to per- and polyfluoroalkyl substances (PFAS) may influence lung and immune system development, but previous epidemiological studies are inconclusive and have not extended into young adulthood.

Objective: To examine associations between prenatal exposure to a mixture of PFAS and respiratory and immune-related outcomes in a cohort of males.

Methods: We studied 866 males with maternal pregnancy plasma measured for 15 PFAS, triclosan, and nine phthalate metabolites used as a proxy for prenatal exposure.

View Article and Find Full Text PDF

Exposure to per- and polyfluoroalkyl substances during fetal development and risk of testicular germ cell cancer in adulthood.

Environ Int

August 2025

Department of Growth and Reproduction, Copenhagen University Hospital - Rigshospitalet, University of Copenhagen, Denmark; International Centre for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health (EDMaRC), Copenhagen University Hospital - Rigshospitalet,

Background: Testicular germ cell cancer (TGCC) originates during fetal life. Fetal exposure to environmental chemicals may contribute to its development, but epidemiological data are lacking. We investigated per- and polyfluoroalkyl substances (PFAS), which can act as endocrine disruptors during fetal development, and TGCC risk in adulthood.

View Article and Find Full Text PDF

Chronic kidney disease (CKD) is a noteworthy global health issue affecting 10% of the world's populace. It is increasingly linked to environmental exposures; however, the interplay of toxic metals, per- and polyfluoroalkyl substances (PFAS), and essential elements has not been fully elucidated. This cross-sectional study analyzed 5800 out of the 9245 participants from the 2017-2018 NHANES dataset to evaluate the combined effect of PFAS, essential elements, and toxic metals on CKD using logistic regression and advanced environmental mixture models, namely, Bayesian Kernel Machine Regression (BKMR), quantile g-computation (qgcomp), and Weighted Quantile Sum (WQS) regression.

View Article and Find Full Text PDF