To the Editor:
Epidemiological links between exposure to air pollution (both indoor and outdoor) and adverse respiratory outcomes are strong (1, 2), but the mechanism(s) involved remains obscure. Although oxidative stress (OS) is presumed to be involved, a direct culprit is lacking. We propose that a recently recognized by-product of thermal and combustion processes that is capable of inducing OS is the missing link between exposure and respiratory disease. These products are called environmentally persistent free radicals (EPFRs).
The term “environmentally persistent free radical” sounds like an oxymoron. Free radicals are generally short lived, rapidly reacting with other molecules or each other (nanoseconds to seconds). However, EPFRs persist in both the environment and biological systems for prolonged periods. We have measured EPFRs in particulate matter ≤2.5 μm in aerodynamic diameter in Baton Rouge with a half-life of 21 days (3). An increasing number of studies are demonstrating the presence of EPFRs in a variety of environmental settings, including traffic-related air pollution (TRAP), coal dust, and other combustion residues. EPFRs are generated in the cool zone of combustion systems when an organic pollutant forms stable bonds with a metal in a reduced state (4), resulting in the formation of a stable EPFR (Figure 1). The reaction rate increases with temperature (low rate at room temperature, fast rate at 180–300°C as found in combustion exhausts). EPFRs form readily in the cool-zone regions of combustion systems and other thermal processes. EPFRs can include semiquinones, phenoxyls, and cyclopentadienyls formed by the thermal decomposition of molecular precursors such as catechols, hydroquinones, and phenols. EFPRs are measured by electron paramagnetic resonance (i.e., electron spin resonance), with a variable known as the g-factor, which describes the distribution of the electron spin, indicating the oxidative potential of the EPFR and ΔH (peak to peak), which describes the width of the resonance peak that reflects the distribution of core atoms (oxygen or carbon). EPFRs participate in the redox cycle in biological systems through the Fenton reaction and produce reactive oxygen species, with long-lasting effects in biological systems (5). We have shown that EPFRs induce OS in animal models (6) and in human cells (7)—effects that can be mitigated with antioxidants such as resveratrol.
We measured EPFRs in house dust collected from the homes of children from a community-based, longitudinal birth cohort that was established to investigate the patterns of acquisition of common respiratory viruses and bacteria in the upper airway (8). As part of a 4-year assessment, dust samples were collected from the home vacuum cleaners, brought to the clinic, frozen at −20°C, and subsequently shipped to Louisiana State University for EPFR analysis. Parents kept a daily symptom diary and collected weekly nasal swabs for the first 2 years of the child’s life. Children were seen in the clinic close to their third and fourth birthdays for clinical and respiratory assessments. Wheeze history was extracted to 4 years of age.
Ninety house dust samples, obtained from the houses of 74 children, were analyzed and EPFRs were detected in all but one of them. The EPFR levels varied, with 36 classed as low (<4 × 1017 spins/g), 35 classed as moderate (4–6 × 1017 spins/g), and 19 classed as high (≥6 × 1017 spins/g). The group mean of the g-factor was 2.0036 (SD = 0.00023) and the group mean ΔH was 6.27 (SD = 0.62). Among the children with dust samples, 42 (56.7%) reported wheeze ever, 10 (13.5%) reported transient wheeze, 43 (58.3%) reported persistent wheeze, and 39 (52.7%) reported current wheeze at the time of the dust sampling. We used machine learning algorithms (CORElearn), stratified random sampling methods, and the random forest algorithm to predict persistent wheeze outcome from the EPFR data (9). When a household provided more than one dust sample, only the first one analyzed was used in these analyses. We put the random forest model through a 10-fold cross-validation using 500 trees each before calculating the prediction error rate in the model. The continuous EPFR variables weight, g-factor, ΔH peak to peak, and concentration were used together with categorical outcome variables of family history of atopy, environmental tobacco smoke exposure, eczema, wheeze ever, persistent wheeze, and transient wheeze. The random forest model was able to predict 55% (sensitivity 15.4%, specificity 92.8%) of the outcome of persistent wheeze correctly using a combination of the g-factor, ΔH peak to peak, and concentration of EPFRs.
These preliminary data raise some intriguing possibilities. EPFRs result from inefficient combustion processes, with TRAP believed to be a major source in ambient air. Penetration of TRAP into homes is variable, but it may be substantial depending on factors such as air conditioning, open windows, and not removing shoes on entering (10). Alternatively, combustion sources inside the home, such as gas cooking or heating and cigarettes or e-cigarettes, can produce EPFRs and may be more important in the indoor environment. The presence of EPFRs in settled dust inside the home demonstrates their longevity in the environment but likely represents an underestimate of the child’s exposure. The association between EPFR characteristics and wheeze status argues in favor of the involvement of OS. If further investigation confirms this to be the case, boosting antioxidant defenses may help protect children from the adverse effects of air pollution. There are several limitations in our data. We do not have estimates of TRAP or indoor particulate exposure for our cohort, and it is possible that the association between wheeze status and EPFRs is due to some other component of air pollution. Finally, our cohort is small, and thus our study did not have the power to examine the effects of EPFRs on lung growth. However, we contend that our data are intriguing and warrant further studies to address the deficiencies in our preliminary data.
Supplementary Material
Footnotes
Originally Published in Press as DOI: 10.1164/rccm.201903-0675LE on June 25, 2019
Author disclosures are available with the text of this letter at www.atsjournals.org.
References
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