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Volume 154, Issue 3, Pages 401-408.e1 (March 2009)


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Associations between Multiple Environmental Exposures and Glutathione S-transferase P1 on Persistent Wheezing in a Birth Cohort

Kathy T. Schroer, BSab, Jocelyn M. Biagini Myers, PhDac, Patrick H. Ryan, PhDc, Grace K. LeMasters, PhDc, David I. Bernstein, MDd, Manuel Villareal, MDd, James E. Lockey, MD, MSc, Tiina Reponen, PhDc, Sergey Grinshpun, PhDc, Gurjit K. Khurana Hershey, MD, PhDaeCorresponding Author Informationemail address

Received 5 December 2007; received in revised form 26 June 2008; accepted 18 August 2008. published online 28 October 2008.

Objective

To determine the impact of environmental exposures (diesel exhaust particle [DEP], environmental tobacco smoke [ETS], and mold) that may contribute to oxidative stress on persistent wheezing in the Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS) birth cohort and to determine how the impact of these exposures is modified by the GST-P1 Ile105Val polymorphism.

Study design

A land-use regression model was used to derive an estimate of each child's DEP exposure. ETS exposure was determined by questionnaire data. Each child's home was evaluated for visible mold by a trained professional. Children in the CCAAPS cohort were genotyped for the GST-P1 polymorphism (n = 570). Persistent wheezing was defined as wheezing at both 12 and 24 months.

Results

High DEP exposure conferred increased risk for wheezing phenotypes but only among the Val105 allele carriers. Infants with multiple exposures were significantly more likely to persistently wheeze despite their genotype.

Conclusion

There is evidence for an environmental effect of DEP among carriers of the GST-P1 Val105 allele in the development of persistent wheezing in children. The protective effect of the GST-P1 Ile105 genotype may be overwhelmed by multiple environmental exposures that converge on oxidative stress pathways.

Article Outline

Abstract

Methods

Study Participants

DNA Collection and GST-P1 Gene Polymorphism Genotyping

Outcome Definitions

Environmental Exposure Definitions

Statistical Analysis

Results

Subjects, Exposures, and Health Outcomes

Effect of Exposure on Wheezing Phenotypes

GST-P1 Alleles in Study Subjects

GST-P1 and Environmental Exposures

Multiple Exposures Associated with Wheezing

Environmental Exposure Load Overwhelms Genotype Effect

Discussion

References

Copyright

The increasingly common occurrence of childhood wheeze and asthma, particularly in affluent westernized society, is well documented.1 Environmental factors associated with wheezing in early life include traffic exhaust exposure through diesel exhaust particles (DEP),2, 3 environmental tobacco smoke exposure (ETS),4, 5 and mold exposure.3, 6, 7 The relationship between the glutathione S-transferase P1 (GST-P1) Ile105Val polymorphism and asthma has been reported in several populations, but these studies have not examined the interplay of the combined genetic and environmental factors on longitudinal wheezing status during early childhood.8, 9

In human beings, the glutathione S-transferase (GST) class of multifunctional enzymes are divided into 8 families: Alpha, Kappa, Mu, Omega, Pi, Sigma, Theta, and Zeta.10, 11 A single gene in the Pi subfamily, GST-P1, is the predominant cytosolic GST expressed in lung epithelium.12 GST-P1 is a 2.8-kb gene located on chromosome 11q13, a known “hot spot” for asthma-related genes.13, 14 A single nucleotide polymorphism at position 313 in GST-P1 converts an adenine to a guanine (A→G).15 The resulting isoleucine to valine substitution in codon 105 of exon 5 (Ile105 →Val105) significantly lowers GST enzyme activity.16

Delineating the factors that are contributory or protective to persistent wheezing in early childhood is critical to advance our understanding of asthma. There is limited information about how genetic and environmental factors interact to influence longitudinal asthmatic/wheezing status over time. DEP, ETS, and mold exposures are common, and each has been shown to aggravate respiratory symptoms. The gene-environment effect related to these individual or combined exposures has not been evaluated with regard to longitudinal wheezing status. The purpose of this study was to investigate whether exposure to DEP, ETS, or mold uniquely modifies wheezing and persistent wheezing in young children, especially among those with the GST-P1 I105V polymorphism. Our study evaluates the modified effect of this polymorphism upon exposure to not only ETS and mold but distinctively DEP exposure associated with traffic and their combined exposures with the well-characterized Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS) birth cohort.

Methods 

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Study Participants 

The CCAAPS study is a longitudinal birth cohort of high-risk children having at least 1 atopic parent. A complete description of the study's recruitment, methods, and objectives has been published.17 Briefly, infants with at least 1 atopic parent (on the basis of allergy skin prick testing) were enrolled between 2001 and 2003 in a 7-county area of Cincinnati, Ohio. Families were recruited on the basis of the proximity of their home residence to truck and bus traffic by geocoding residential addresses located on birth records (Figure 1; available at www.jpeds.com). All infants recruited for the CCAAPS study were carried to term (>35 weeks), and no premature infants were eligible. Parental asthma diagnosis history and shortness of breath symptoms were collected at the time of the parent SPT. Infant subjects were evaluated by skin prick testing with a panel of 15 aeroallergens and 2 foods (egg white and milk) at both 12 and 24 months of age. Annual questionnaires administered to parents with regards to infant respiratory symptoms were adapted from the International Study of Asthma and Allergies in Children (ISAAC).18 At the time of recruitment, administered questionnaires also collected information on household smoking habits and demographics. This study was approved by the Institutional Review Board.


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Figure 1. Geographic location of CCAAPS infants' homes. Infants lived within a 7-county area of Cincinnati, Ohio. Families were recruited on the basis of the proximity of their home residence to truck and bus traffic by geocoding residential addresses located on infant birth records.


DNA Collection and GST-P1 Gene Polymorphism Genotyping 

Buccal cells were collected with a nylon bristle cytology brush. Genomic DNA was isolated with the Zymo Research Genomic DNA II Kit (Orange, California). Genotyping was accomplished with the LightTyper platform (Roche Diagnostics, GmbH, Mannheim, Germany). The polymerase chain reaction primers (GST-P1 Forward: 5′-TGGACATGGTGAATGACGGCG-3′ and GST-P1 Reverse: 5′-GGTCAGCCCAAGCCACCT-3′) and hybridization probes (5′-LCR640-AGGGAGACGTATTTGCAGCGGAGG-3′ and 5′-ACCCTGGTGCAGATGCTCACATAGTTGGTGTAGA-FL-3′) were designed with the LightCycler Probe Design Software 2.0 (Roche Diagnostics, GmbH, Mannheim, Germany). Genotypes were confirmed by randomly re-genotyping 10% of the population. Genotypes were dichotomized to carriers and noncarriers of the Val105 allele.

Outcome Definitions 

Parents were asked the following ISAAC adapted question: “In the past 12 months, have you ever noticed your child wheezing?” Infant wheezing at ages 12 and 24 months was defined as parental report of the child wheezing at the respective study visit 1 or more times in the past 12 months. Persistent wheezing was defined as parental report of the child wheezing at both the 12- and 24-month visits.

Environmental Exposure Definitions 

The environmental exposures evaluated were DEP, ETS, and visible mold. Average daily levels of DEP at each infant's home were calculated with a land-use regression (LUR) model of exposure as previously described.2 Briefly, ambient levels of fine particulate matter with aerodynamic diameter <2.5 μm (PM2.5) were measured at 24 sampling sites located throughout the greater Cincinnati, Ohio, metropolitan area. The PM2.5 chemical composition has been previously described.19 Elemental carbon was measured at these different monitoring sites, and estimated source signatures in the airshed were determined to determine how much elemental carbon was attributable to traffic alone. This estimate was used to estimate truck and bus DEP exposure as previously reported.20 Geographic, traffic, and land-use data within 400 m of each sampling site was collected in a geographic information system. From these data a LUR model with a coefficient of determination (R2) of 0.75 was developed that included elevation, number of trucks within 400 m of the sampling site, and the length of bus routes within 100 m of the sampling site. The estimated model parameters were subsequently applied to the same geographic variables determined for each infant's home residence at the time of study enrollment when they were approximately seven months of age. This estimate was used to obtain unique estimates of their early life exposure to DEP. The median exposure to DEP was estimated to be 0.34 μg/m3 (range = 0.23-0.88). The level of 0.5 μg/m3 was chosen to determine high versus low exposure on the basis of the distribution of estimated DEP and prior results indicating an approximate 2-fold increased risk for wheezing at 12 months at this exposure level, and this level represented the top quintile.2 The LUR model was further evaluated deriving a LUR model with 6 sampling sites removed. The estimated DEP was subsequently compared with the sampled DEP and was generally found to slightly underpredict the sampled values (manuscript currently in review).

Infants were defined as exposed to household ETS if the parent reported at least 1 smoker (person that smoked 1 or more cigarettes per day) living in the infant's home. Infants were defined as exposed to mold if an in-home trained professional observed any visible mold, water damage, or moldy odor at the time of the home evaluation, generally before the infant's first birthday.21 Infants in homes that did not meet any of these criteria were considered unexposed to visible mold. Multivariate models were adjusted for race (Caucasian vs non-Caucasian) and sex. In analyses evaluating wheezing at 12 and 24 months, daycare attendance was also defined at 12 and 24 months.

Statistical Analysis 

Racial differences for demographics, environmental exposures, health outcomes, and genotype and allele frequencies were compared by use of the χ2 statistic. Unadjusted odds ratios (OR) and 95% confidence intervals (95% CI) were calculated by use of logistic regression to evaluate the univariate associations between outcomes, environmental exposures, and genotype. Three-way contingency tables were used to assess associations of environmental exposures, genotype, and health outcomes stratified by both genotype and exposure. Because of the significant difference in allele frequency between racial groups, a race-stratified analysis was also performed for Caucasians and non-Caucasians. The associations of DEP, ETS, and visible mold exposures and genotype with each outcome were evaluated with conditional logistic regression adjusting for daycare attendance, race, and sex. Because parent education, income, and health insurance were all highly correlated with race, we chose to adjust only for race. Race, however, was not found to be a significant covariate in adjusted models evaluating the independent associations of DEP (P = .46), ETS (P = .46), and mold (P = .44) with wheezing at 12 months of age. Figure 2 therefore presents associations for racial groups combined between environmental exposures and GST-P1 genotype. All possible gene-environment interactions to evaluate the effect modification of DEP, ETS, and mold exposure by genotype were evaluated in each model. An interaction was removed from the model if the P value was greater than .20. All analysis was performed with SAS software (version 8.2 for Windows; SAS Institute, Cary, North Carolina).


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Figure 2. Individual environmental exposures, GST-P1 genotype, and infant wheezing. A, High DEP estimate exposure levels were significantly associated with wheezing at 12 months, 24 months, and with persistent wheezing only in infants carrying the Val105 allele. B, ETS exposure was significantly associated with wheezing at 12 and 24 months only in infants carrying the Val105 allele. C, Mold exposure was significantly associated with wheezing at 24 months in infants carrying the Val105 allele. D, Environmental load, GST-P1 genotype, and infant wheezing. At 12 months, only infants carrying the Val105 allele and who were exposed to 2 or more exposures were significantly likely to wheeze. At 24 months and with persistent wheezing, all infants despite their genotype were significantly likely to wheeze when exposed to 2 or more exposures. *P value < .05.


Results 

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Subjects, Exposures, and Health Outcomes 

Of the 570 study participants, 464 (81.4%) infants were Caucasian, and 106 (18.6%) were non-Caucasian (Table I). Of the non-Caucasian infants, 86.8% were African Americans defined as both parents being African American. Non-Caucasian infants were significantly more likely than Caucasians to have a household income less than $40 000 (69.5% vs 26.7%; P < .001), have higher exposure to DEP ≥0.50 μg/m3 (P < .001), and have visible mold in their homes (P = .01). ETS exposure did not significantly differ between the racial groups. Wheezing at 24 months of age (34.6% vs 17.2%) and persistent wheezing (24.6% vs 10.9%) were significantly increased in non-Caucasian versus Caucasian infants.

Table I.

Demographics, exposures, and health outcomes of infants

TotalCaucasianNon-CaucasianP value
Sex .76
Male298(52.3)244(52.6)54(50.1)
Female272(47.7)220(47.4)52(49.1)
Family income <.001
<$40000196(34.7)123(26.7)73(69.5)
≥$40000369(65.3)337(73.3)32(30.5)
Daycare attendance at 12 months .96
Yes43(7.6)35(7.6)8(7.7)
No524(92.4)428(92.4)96(92.3)
Daycare attendance at 24 months .30
Yes70(12.4)54(11.7)16(15.4)
No497(87.6)409(88.3)88(84.6)
DEP estimate(binary) <.001
<0.50 μg/m3469(82.3)396(85.3)73(68.9)
≥0.50 μg/m3101(17.7)68(14.7)33(31.1)
ETS exposure .11
Yes158(28.5)121(27.0)37(34.9)
No396(71.5)327(73)69(65.1)
Mold exposure .01
Yes297(56.5)258(59.2)39(43.3)
No229(43.5)178(40.8)51(56.7)
Environmental load .09
None178(32.2)144(31.0)34(32.1)
One246(43.2)209(45.1)37(34.9)
Two or more146(25.6)111(23.9)35(33.0)
Wheezing at 12 months .34
Yes145(27.5)116(26.6)29(31.5)
No383(72.5)320(73.4)63(68.5)
Wheezing at 24 months <.001
Yes99(19.9)72(17.2)27(34.6)
No399(80.2)348(82.8)51(65.4)
Persistent wheezing <.001
Yes60(12.9)43(10.9)17(24.6)
No404(87.1)352(89.1)52(75.4)
Total570464106

DEP estimate ≥ 0.50 μg/m3, ETS exposure, and mold exposure.

The total n is different from the n for each individual demographic because not all data were available for each subject.

Effect of Exposure on Wheezing Phenotypes 

Exposure to DEP ≥0.50 μg/m3 increased the risk of wheezing at 24 months (OR = 2.15, 95% CI = 1.24-3.55) and persistent wheezing (OR = 2.41, 95% CI = 2.29-4.51) (data not shown). Similarly, ETS exposure was associated with wheezing at 12 months (OR = 1.73, 95% CI = 1.15-2.62), 24 months (OR = 2.15, 95% CI = 1.34-3.44), and persistent wheezing (OR = 1.80, 95% CI = 1.02-3.20). Mold exposure was significantly associated with infant wheezing at 24 months (OR = 1.76, 95%CI = 1.09-2.85) and persistent wheezing (OR = 2.00, 95% CI = 1.07-3.71). A comparison of the wheezing percentage among all infants versus those stratified by race revealed similar trends.

GST-P1 Alleles in Study Subjects 

The GST-P1 allele frequencies were significantly different (P = .002) among Caucasians (Ile = 67.2%, Val = 32.8%) and non-Caucasians (Ile = 56.1%, Val = 43.9%). Similar allelic differences were noted in other studies.16 Overall, 81.4% of the children were homozygous for the GST-P1 Ile105 allele, and 18.6% were carriers of the Val105 allele. When children carrying at least 1 Val105 allele (Ile/Val or Val/Val) were combined and compared with those homozygous for the Ile105 allele, the non-Caucasian children were significantly more likely than Caucasians to be carriers of the Val105 allele (21.9% vs 14.7%; P = .02). GST-P1 genotype data were in Hardy-Weinberg equilibrium when stratified by race and sex.

GST-P1 and Environmental Exposures 

After stratifying by genotype, high DEP exposure (≥0.50 μg/m3) was associated with an increased risk for wheezing among carriers of the Val105 allele (Figure 2, A). Again, racial groups were combined because race was not found to be a significant covariate in evaluating the independent associations of each environmental exposure with wheezing at 12 months of age. The Ile/Ile genotype conferred a protective effect against wheezing when infants were exposed to high amounts of DEP. This finding was consistent at 12 months (P = .01), 24 months (P = .002), and with persistent wheezing (P = .003) (Figure 2, A). Similarly, carriers of the Val105 allele were significantly more likely to wheeze at 12 and 24 months if they were exposed to ETS (P = .05 and P = .01, respectively) compared with those infants with the protective Ile/Ile genotype (Figure 2, B). Carriers of the Val105 allele exposed to visible mold were also significantly more likely to wheeze at 24 months of age (P =.04) (Figure 2, C).

The effect of each exposure (DEP, ETS, and visible mold) was independently evaluated with respect to wheezing at 12 months, 24 months, and persistent wheezing after adjusting for genotype, daycare attendance, race, and sex (Table II). High DEP exposure (≥0.50 μg/m3) conferred a significant risk for persistent wheezing (OR = 2.13, 95% CI 1.11-4.07). There was a trend noted between high DEP exposure (≥0.50 μg/m3) and GST-P1 genotype on wheezing (DEP-GST-P1 interaction, P = 0.08; Table II). Similar interactions between ETS and visible mold exposures with the GST-P1 Ile/Val or Val/Val genotypes were not observed and were subsequently removed from the models (Table II). ETS exposure was significantly associated with wheezing at both 12 (OR = 1.78, 95% CI = 1.17-2.71) and 24 months of age (OR = 2.06, 95% CI = 1.27-3.35), and an elevated risk was observed for persistent wheezing (Table II). Visible mold exposure significantly increased the risk of wheeze at 24 months (OR = 2.18, 95% CI = 1.30-3.63) and persistent wheezing (OR = 2.57, 95% CI = 1.33-4.96) (Table II). Thus, all 3 exposures were significant in a univariate model.

Table II.

Adjusted ORs for infant wheezing, environmental exposures, and GST-P1 genotype

Wheezing at 12 monthsWheezing at 24 monthsPersistent wheezing
OR95% CIP valueOR95% CIP valueOR95% CIP value
DEP estimate exposure
DEP estimate ≥0.50 μg/m30.890.41-1.96.781.160.47-2.82.752.131.11-4.07.02
Ile/Val or Val/Val genotype0.940.61-1.44.781.030.61-1.72.930.920.52-1.61.76
Daycare attendance1.480.76-2.88.251.861.03-3.38.041.130.52-2.48.76
Non-Caucasian race1.210.73-2.00.462.291.31-3.99<.012.571.33-4.98.01
Male sex1.410.96-2.09.081.611.02-2.55.041.901.07-3.38.03
DEP Ile/Val or Val/Val genotype2.520.91-7.01.082.230.72-6.92.16NS
ETS exposure
ETS exposure1.781.17-2.71.012.061.27-3.35<.011.70.94-3.07.08
Ile/Val or Val/Val genotype1.090.73-1.61.681.210.75-1.93.430.910.52-1.59.73
Daycare attendance1.500.77-2.93.231.720.95-3.12.081.060.48-2.31.89
Non-Caucasian race1.210.73-1.99.462.361.36-4.10<.012.601.35-5.02<.01
Male sex1.501.01-2.23.051.731.08-2.77.021.981.11-3.52.02
ETS Ile/Val or Val/Val genotypeNS NS NS
Mold exposure
Mold exposure1.310.87-1.97.202.181.30-3.63<.012.571.33-4.96.01
Ile/Val or Val/Val genotype1.090.73-1.64.671.250.77-2.03.380.950.52-1.73.87
Daycare attendance1.680.82-3.46.161.750.93-3.32.081.270.55-2.93.57
Non-Caucasian race1.370.81-2.34.243.061.68-5.60<.013.641.75-7.59<.01
Male sex1.340.89-2.01.161.741.07-2.82.022.001.08-3.69.03
Mold Ile/Val or Val/Val genotypeNS NS NS
Environmental load
Environmental load
NoneRef Ref Ref
One1.210.75-1.95.431.821.00-3.32.052.050.96-4.41.06
Two or more2.071.24-3.46.013.571.92-6.64<.013.861.78-8.37<.01
Ile/Val or Val/Val genotype1.150.78-1.69.501.300.81-2.08.280.960.55-1.70.89
Daycare attendance1.520.78-2.97.221.780.98-3.24.061.130.51-2.50.75
Non-Caucasian race1.220.74-2.00.442.461.40-4.30<.012.831.45-5.52<.01
Male sex1.430.96-2.12.081.731.08-2.76.022.051.14-3.68.02
Total load Ile/Val or Val/Val genotypeNS NS NS

NS, Not significant at the 0.20 level and therefore removed from model (interaction only); Ref, Referent category.

Daycare attendance at 12 months for 12-month wheezing, attendance at 24 months for 24-month wheezing, and persistent wheezing.

ETS exposure, DEP estimate ≥0.50 μg/m3, and/or mold exposure.

Multiple Exposures Associated with Wheezing 

We next adjusted for all 3 exposures simultaneously, as well as genotype, daycare attendance, race, and sex (Table III). In this model, high DEP exposure (≥0.50 μg/m3) was associated with wheezing at 24 months (OR = 1.93, 95% CI = 1.06-3.53) and with persistent wheezing (OR = 2.13, 95% CI = 1.03-4.41). Exposure to ETS was significantly associated with wheezing at 12 (OR = 1.73, 95% CI = 1.11-2.70) and 24 months (OR = 1.90, 95% CI = 1.13-3.18). Similarly, visible mold exposure was associated with wheezing at 24 months (OR = 2.12, 95% CI = 1.25-3.60) and persistent wheezing (OR = 2.47, 95% CI = 1.27-4.80) (Table III).

Table III.

Adjusted associations as estimated ORs of infant wheezing with demographic and environmental factors

Wheezing at 12 monthsWheezing at 24 monthsPersistent wheezing
OR95% CIP valueOR95% CIP valueOR95% CIP value
Male sex1.470.97-2.23.071.921.16-3.17.012.131.15-3.97.02
Non-Caucasian race1.200.69-2.07.522.541.36-4.75.002.911.36-6.21.01
Daycare attendance1.880.91-3.91.091.810.95-3.47.071.360.66-2.79.41
DEP estimate exposure ≥0.50 μg/m30.920.40-2.14.851.931.06-3.53.032.131.03-4.41.04
ETS exposure1.731.11-2.70.021.901.13-3.18.021.490.76-2.81.22
Mold exposure1.220.79-1.86.372.121.25-3.60.012.471.27-4.80.01
Ile/Val or Val/Val GST-P1 genotype0.940.59-1.47.771.250.76-2.07.380.940.52-1.73.85
Ile/Val or Val/Val GST-P1 DEP estimate ≥0.50 μg/m32.090.69-6.30.19NS NS

NS, Not significant at the 0.20 level and therefore removed from model (interaction only); Ref, Referent category.

Defined as daycare attendance for the first year of life for wheezing at 12 months, attendance during the second year of life for wheezing at 24 months of age, and lifetime attendance for persistent wheezing.

Environmental Exposure Load Overwhelms Genotype Effect 

To evaluate the relationship of total environmental “load” with wheezing, the additive or synergistic effect of having none, 1, or 2 or more environmental exposures (DEP, ETS, or mold) was investigated. One third (32.2%) of CCAAPS infants were not exposed to any of the 3 environmental exposures whereas 43.2% were exposed to 1 pollutant, and 25.6% were exposed to 2 or more. Carriers of the Val105 allele were found to be at risk for wheezing if they were exposed to 2 or more pollutants compared with unexposed infants at 12 months (P = .02), 24 months (P < .01), and with persistent wheezing (P < .01). In addition, infants homozygous for the Ile105 allele exposed to 2 or more air pollutants were at significantly increased risk for wheezing compared with those who were not exposed at 24 months (P = .03) and with persistent wheezing (P = .01) (Figure 2, D). The protective effect of the Ile/Ile genotype against wheezing previously observed with each of the individual exposures alone disappears when infants have multiple exposures. This trend is most evident with DEP exposure alone, but this same trend can be seen when infants are exposed to any one exposure (Figure 2). Environmental load was not significantly different between races (Table I). Clearly, long-term exposure to more pollutants places the infant at greater risk (almost 4-fold) of persistent wheezing irrespective GST-P1 genotype (Table II).

Discussion 

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To our knowledge, this study is the first to investigate the impact of complex environmental exposures (DEP, ETS, and mold) along with genetics, specifically GST-P1 on persistent wheezing in children. Our data support that DEP, ETS, or mold exposure are risk factors for wheezing by 24 months of age. Furthermore, the presence of the Val105 allele, which has been shown to significantly lower GST enzyme activity,16 confers susceptibility to these environmental exposures compared with the Ile105 allele. The Ile/Ile GST-P1 genotype conferred protection against wheezing among the DEP exposed group, however, infants exposed to multiple environmental exposures were significantly more likely to persistently wheeze irrespective of genotype. Thus, the Ile105 GST-P1 genotype may confer protection from persistent wheezing, but strong environmental exposure converging on a similar pathway may overwhelm the genetic effect.

Other investigations have reported associations between asthma and the GST-P1 polymorphism.8, 22, 23 The Val105 allele was shown to have a protective effect in children age 8 to 11 years against respiratory illness23 and in adults age 20 to 34 years exposed to DEP and secondhand smoke against increased nasal allergic responses.22 Contrary to these studies, our study examined infancy and early childhood, a period of time in which the lung undergoes critical development and asthma symptoms are just beginning to develop. Early childhood wheezing and early persistent wheezing may be a precursor to asthma in these young children. One limitation of this study is that it is difficult to definitively determine the cause of wheezing in this young age group. The use of the well-studied ISAAC-adapted questions was used to characterize wheezing as a precursor to asthma.

One mechanism by which environmental exposures may lead to lung injury is by inducing inflammatory cells to generate reactive oxygen species (ROS) leading to oxidative injury.6, 24, 25 DEP, ETS, and mold are 3 common environmental exposures that lead to increased generation of ROS and have been shown to cause respiratory symptoms.2, 4, 21 DEP are respirable, with more than 90% in the fine (0.1-2.5 μm) or ultrafine (<0.1 μm) size range. The DEP are composed of elemental carbon cores with large surface areas capable of binding organic polycyclic aromatic hydrocarbons and transition metals, which have the potential to induce ROS.6 Cigarette smoke has also been shown to contain a high concentration of ROS.5 Studies have demonstrated an association between ETS exposure during early childhood with the subsequent development of asthma.26 Mold exposure has also been associated with increased intracellular levels of ROS27 and respiratory illness in children.28 Although the mechanism by which DEP, ETS, and mold may contribute to the development of asthma and asthma symptoms is unknown, there is mounting evidence implicating oxidative stress as a contributor to the airway inflammatory response.29, 30 GSTs can neutralize the electrophilic sites of reactive oxygen species (ROS) by conjugation to the tripeptide thiol, glutathione (GSH), which has an electron-donating capacity. The resulting product is more water-soluble promoting ROS detoxification and thereby protecting the lung from oxidative damage.31 This may be one mechanism for the observed genetic effect of GST-P1 in this study. We cannot rule out that the observed association between GST-P1 and wheezing is due to a linked polymorphism in the same gene or another gene. Another limitation of the study is the relatively small sample size of non-Caucasian children in the cohort (n = 106). Race was not found to be a significant covariate in multivariate models evaluating independent associations of the 3 environmental exposures with wheezing at 12 months resulting in the combining of the racial groups. Although ideally it would be beneficial to stratify by race, the power of the study would have been severely compromised, particularly for African-Americans.

An important strength of this study is the longitudinal birth cohort design. In particular, DEP estimate exposure using multiple monitoring sites and a LUR model is unique to the CCAAPS cohort. Given the importance of early-life exposures, DEP, ETS, and mold exposure were determined through age 2. Although we did collect data regarding treatment in the wheezing infants, we did not have complete data on all the children. In utero smoke exposure was an independent risk factor for wheezing at 12 and 24 months but not persistent wheezing in only the Caucasian infants. There was no association among the non-Caucasian infants. We recognize that one limitation of the exposure assessment is that infants are not only exposed in the home. In order to address this, we adjusted for daycare attendance (also used as a proxy for exposure to respiratory infections). Future analyses will consider cumulative exposures and effect on asthma development as children age.

Overall, the relationship between DEP and wheezing was found to be stronger at 24 months of age than 12 months suggesting that longer exposure results in an elevated risk of wheezing. Interestingly, ETS exposure at 12 months of age was associated with wheezing at both 12 and 24 months of age suggesting that a shorter exposure time is needed to see an effect in infants. Since infants' lungs are still developing, household ETS exposure is generally much closer to the child's personal living space than is exposure to traffic exhaust and therefore highly likely to have a stronger impact during this sensitive stage of development. This reflects the findings of a recent study that reported exposure to parental smoking during the first year of life is associated with persistent wheezing.32

In conclusion, these data suggest that the GST-P1 genotype should be considered when evaluating asthma/wheezing in young children exposed to high DEP levels, ETS, or visible mold. These data provide evidence that carriers of the Val105 allele may be more susceptible to high DEP exposure with regard to the development of persistent wheezing. High environmental load converging on an oxidative stress pathway may overwhelm the genetic effect.

References 

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a Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH

b Molecular and Developmental Biology, University of Cincinnati and Cincinnati Children's Hospital Medical Center, Cincinnati, OH

c Environmental Health, University of Cincinnati, Cincinnati, OH

d Internal Medicine, University of Cincinnati, Cincinnati, OH

e Department of Pediatrics, University of Cincinnati, Cincinnati, OH

Corresponding Author InformationReprint requests: Gurjit K. Khurana Hershey, MD, PhD, Division of Asthma Research, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., MLC 7037, Cincinnati, OH 45229-3039

 Supported by NIEHS R01 ES11170 and ES10957. The authors declare no conflicts of interest.

PII: S0022-3476(08)00706-3

doi:10.1016/j.jpeds.2008.08.040


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