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Updated: Jul 24, 2026

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Analysis of the Ambient Particulate Matter-induced Chromosomal Aberrations Using an In Vitro System
Published on: December 21, 2016
Human interindividual variability in susceptibility to airborne particles.
1Marsh Institute, Clark University, Worcester, MA 01610-1477, USA. dhattis@aol.com
Summary
Individual susceptibility to airborne particles varies greatly. Some people are 150-450 times more sensitive to particle effects, potentially explaining health risks from air pollution.
Area of Science:
- Environmental Health
- Toxicology
- Pulmonary Medicine
Background:
- Epidemiological studies show links between air particle exposure and mortality/morbidity.
- Individual susceptibility to particle effects is a proposed explanation for these findings.
Purpose of the Study:
- To quantify interindividual variability in pharmacokinetic and pharmacodynamic responses to inhaled agents.
- To assess the potential impact of this variability on health outcomes from airborne particle exposure.
Main Methods:
- Assembled a database of quantitative observations on human variability.
- Analyzed pharmacokinetic parameters (breathing rate, deposition, clearance).
- Examined pharmacodynamic responses (lung function changes) to methacholine, flour dust, ozone, and metabisulfite.
Main Results:
- Pharmacodynamic variability was generally greater than pharmacokinetic variability.
- Interindividual variability in breathing rate, deposition, and clearance showed geometric standard deviations (GSDs) of 1.26-1.58.
- Deep lung deposition variability had a GSD of approximately 2.
- Responses to methacholine and particulate allergens showed the highest variability (GSD > 1.0).
- Highly susceptible individuals may respond to doses 150-450 times lower than median individuals.
Conclusions:
- Significant interindividual variability exists in human responses to inhaled agents.
- This variability, particularly in pharmacodynamic responses, may explain enhanced mortality/morbidity in sensitive populations exposed to air pollution.
- Lognormal distribution of responses suggests a mechanistic basis for observed epidemiological associations.
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