The Association of Combined Per- and Polyfluoroalkyl Substances and Metals with Allostatic Load Using Bayesian Kernel
Tahir Bashir1,2, Emmanuel Obeng-Gyasi1,2
1Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA.
Combined exposure to per- and polyfluoroalkyl substances (PFAS) and heavy metals significantly increases the risk of chronic stress, measured as allostatic load (AL). This finding highlights the health impacts of environmental contaminants.
Area of Science:
- Environmental Health Sciences
- Toxicology
- Biomarkers of Stress
Background:
- Per- and polyfluoroalkyl substances (PFAS) are widely used industrial chemicals.
- Metals are common environmental contaminants.
- Both PFAS and metals have been individually linked to adverse health outcomes.
Purpose of the Study:
- To investigate the combined effects of PFAS and metal exposure on allostatic load (AL).
- To explore AL as a potential mediator of disease.
- To identify specific PFAS and metal combinations associated with chronic stress.
Main Methods:
- Utilized National Health and Nutrition Examination Survey (NHANES) data (2007-2014) for adults aged 20+.
- Calculated allostatic load (AL) using a 10-biomarker index (cardiovascular, inflammatory, metabolic).
- Employed Bayesian kernel machine regression (BKMR) to analyze mixture effects and dose-response relationships.
Main Results:
- Combined exposure to specific PFAS (PFHS, PFNA) and metals (cesium, molybdenum, mercury) showed a significant positive association with AL.
- High posterior inclusion probabilities (PIP) indicated strong contributions of these mixtures to AL.
- A cumulative index of 3 or higher indicated a state of chronic stress (AL).
Conclusions:
- Co-exposure to certain metals and PFAS significantly elevates the risk of experiencing allostatic load.
- This research underscores the importance of evaluating combined environmental exposures for comprehensive health risk assessment.
- Findings suggest that mixtures of environmental contaminants may act synergistically to induce chronic stress.
More Related Videos
07:06Investigating Long-Distance Transport of Perfluoroalkyl Acids in Wheat via a Split-Root Exposure Technique
Published on: September 28, 2022
05:47In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Related Concept Videos
Mechanistic Models: Compartment Models in Individual and Population Analysis
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Stresses under Combined Loadings
The process begins by slicing the tube at critical points and analyzing the internal forces and stress components at these sections, focusing on the centroid. Normal stresses, generated by axial forces and bending moments, are either compressive or tensile and vary across the section from...
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
