Association of a PAI-1 Gene Polymorphism and Early Life Infections with Asthma Risk, Exacerbations, and Reduced Lung Function.

BACKGROUND: Plasminogen activator inhibitor-1 (PAI-1) is induced in airways by virus and may mediate asthmatic airway remodeling. We sought to evaluate if genetic variants and early life lower respiratory infections jointly affect asthma risk.
METHODS: We included Latino children, adolescents, and young adults aged 8-21 years (1736 subjects with physician-diagnosed asthma and 1747 healthy controls) from five U.S. centers and Puerto Rico after excluding subjects with incomplete clinical or genetic data. We evaluated the independent and joint effects of a PAI-1 gain of function polymorphism and bronchiolitis / Respiratory Syncytial Virus (RSV) or other lower respiratory infections (LRI) within the first 2 years of life on asthma risk, asthma exacerbations and lung function.
RESULTS: RSV infection (OR 9.9, 95%CI 4.9-20.2) and other LRI (OR 9.1, 95%CI 7.2-11.5) were independently associated with asthma, but PAI-1 genotype was not. There were joint effects on asthma risk for both genotype-RSV (OR 17.7, 95% CI 6.3-50.2) and genotype-LRI (OR 11.7, 95% CI 8.8-16.4). A joint effect of genotype-RSV resulted in a 3.1-fold increased risk for recurrent asthma hospitalizations. In genotype-respiratory infection joint effect analysis, FEV1% predicted and FEV1/FVC % predicted were further reduced in the genotype-LRI group (β -2.1, 95% CI -4.0 to -0.2; β -2.0, 95% CI -3.1 to -0.8 respectively). Similarly, lower FEV1% predicted was noted in genotype-RSV group (β -3.1, 95% CI -6.1 to -0.2) with a trend for lower FEV1/FVC % predicted.
CONCLUSIONS: A genetic variant of PAI-1 together with early life LRI such as RSV bronchiolitis is associated with an increased risk of asthma, morbidity, and reduced lung function in this Latino population.

Introduction

Asthma affects more than 25 million people in the United States including 9.3% of all US children, with $56 billion in annual healthcare and indirect costs.[1] Studies have suggested a range of 47 to 95% heritability for asthma,[2-4] with multiple associated genetic variants.[5] However, the individual effects of these variants are small,[6,7] leading to questions about whether these genetic influences are more relevant in the broader context of specific environmental exposures.[8] Among the early environmental exposures associated with asthma, viral respiratory infections are among the most important.[9,10] While interaction between viral illness and genetic variants on asthma risk has been reported,[11] mechanisms remain unclear.

A gene-infection interaction promoting airway remodeling and lung function decline may be important both in asthma and generating severe asthma phenotypes. The plasmin and fibrinolytic pathway may be particularly relevant in airway remodeling and upper respiratory infection is associated with increased fibrinogenic activities in subjects with recurrent wheezing or asthma.[12,13] Specifically, plasminogen activator inhibitor-1 (PAI-1) promotes fibrosis,[14,15] and blocking of this enzyme prevents extracellular matrix (ECM) deposition.[16,17] URI increases airway PAI-1 levels, with virus inducing PAI-1 production in human airway epithelial cells.[12] PAI-1 promoter site genetic variants are strongly associated not only with plasma PAI-1 levels,[18] but also with increased risk of asthma, decreased forced expiratory volume in 1 second (FEV1), and airway hyperreactivity.[19] [20]

We utilized the Genes-environments and Admixture in Latino Americans (GALA II) study to test our hypothesis that a PAI-1 polymorphism in combination with infection in early life may be associated with asthma, asthma severity, and worse lung function.

Materials and Methods

Recruitment

Latino children, adolescents, and young adults aged 8–21 years from five centers (Chicago, Illinois; Bronx, New York; Houston, Texas; San Francisco Bay Area, California; and Puerto Rico) were enrolled in the GALA II cohort study from 2006 to 2011 (n = 4157 children of whom 2022 had asthma and 2135 were healthy controls). We excluded subjects who had incomplete genetic or clinical data for relevant covariates (n = 286 asthmatics and 388 controls), yielding an analyzing sample size of 3483 subjects (1736 with asthma and 1747 without asthma). Further details are available on the online supporting information file.

PAI-1 genotyping for rs2227631

Genome-wide genotyping was performed with the Axiom LAT1 array (World Array 4; Affymetrix, Santa Clara, Calif) as previously described.[21] The A allele of the promoter site SNP, rs2227631, for the PAI-1 gene is a gain of function mutation associated with higher plasma levels of PAI-1,[18] and is included in this chip. In initial exploratory analyses, we evaluated the individual effects of AG and AA genotypes in combination with infection on asthma risk. While there was a dose effect, numbers were not sufficiently large to separately analyze the AA-infection group (for example AA-RSV is only 0.9% (31/3446). The AG and AA groups were combined for the primary analysis. For completeness, a secondary analysis for the primary outcome of asthma is presented in the E-tables with genotype expressed as GG, AG, and AA.

Bronchiolitis / RSV

Symptomatic bronchiolitis / RSV episodes requiring medical attention within the first 2 years of life was ascertained by the following question: “Was <CHILD> diagnosed with bronchiolitis or RSV before age 2 yrs.”

Other lower respiratory illness

Symptomatic lower respiratory tract illnesses (LRI) requiring medical attention within the first 2 years of life was ascertained by the following question: “Was <CHILD> seen by a doctor for chest illness before age 2 yrs.”

Subject exposure classification

Subjects were divided into subgroups to identify the independent and joint effects of LRI requiring medical attention and rs2227631 genotype as follows: GG without LRI (GG-No LRI), AG/AA without any history of LRI (AG/AA No LRI), GG with history of LRI (GG+LRI), and AG/AA with history of LRI (AG/AA+LRI). A similar grouping was carried out for genotype and symptomatic bronchiolitis / RSV, with “no RSV” indicating that there was no severe symptomatic RSV bronchiolitis requiring medical attention (i.e. no severe RSV).

Outcome measures

The primary outcome was report of physician diagnosed asthma. Secondary outcomes included asthma exacerbations and lung function. Spirometry was performed using a KoKo spirometer (nSpire Health, Longmont, CO) according to the guidelines of the American Thoracic Society/European Respiratory Society. Measures analyzed included percent predicted FEV1, FVC, and FEV1/FVC ratio (National Health and Nutrition Examination Survey III reference standards). Subjects with asthma were categorized for exacerbation status based on each the following criteria assessed over the previous 12 months: oral steroid use for 2 or more weeks, ≥ 2 emergency room (ER) visits, and ≥ 2 hospital admissions.

Replication cohort

The Study of African Americans, Asthma, Genes & Environments II (SAGE II) was used to replicate the associations found in the GALA II study and is described elsewhere.[22] Briefly, the SAGE II study is an ongoing clinic-based multicenter asthma case-control study, including African American subjects with asthma (n = 666) recruited from the San Francisco bay area, conducted in parallel to GALA II using identical protocols and questionnaires.

Statistical analysis

For descriptive statistics, the study population was divided into asthma and control subjects, and χ2 tests and t tests performed to describe differences in terms of demographic and clinical characteristics. Analyses on the outcome of asthma diagnosis included all subjects. However, asthma exacerbations and lung function analyses were limited to subjects with asthma. Separate logistic regression analyses were performed to estimate the associations of asthma with the PAI-1 genotype at the rs2227631 locus, early-infection (RSV or LRI) history, and the joint effect of genotype and infection. Similar logistic regression analyses were carried out for the outcome of asthma exacerbations limited to subjects with asthma. Both analyses controlled for age, sex, ethnicity, ancestry, socioeconomic factors, environmental factors (history of farm animal exposure, received antibiotics during first year), family history of asthma, African and European genetic ancestry, and recruitment site. For the analysis of lung function (percent predicted values) within asthmatics we used a multivariate linear regression model, adjusting for age, sex, ethnicity, socioeconomic factors, environmental factors (history of smoke exposure), medication for asthma control, and recruitment site. Lung function analyses which included the SNP or SNP-infection analyses also controlled for ancestry. For the asthma analyses, separate models were also generated to test for the significance of interaction terms for infection and risk genotype, including terms for the main effects of genotype risk allele and infection history.

Replication of these analyses was carried out in the SAGE study using the same approach. All statistical analyses were performed using SPSS software (Version 22.0, Statistical Package for Social Science, Chicago, IL, USA). P values < 0.05 were considered statistically significant.

This study was approved by the institutional review boards at each study center (IRB for USCF, IRB for Northwestern University, IRB for The Ann and Robert H. Lurie Children’s Hospital of Chicago, IRB for IRB for Texas Children’s Hospital Baylor College of Medicine, IRB for Veteran’s Caribbean Health Care System, IRB for Centro Neumologica Pediatrica, IRB for Jacobi Medical Center, IRB for CUNY). Written informed consent was obtained from the parents or legal guardians of all children and adult participants, and written informed assent was obtained from all children aged 12–18 years.

Data used in the performance of this analysis is included with the paper in S1 File.

Results

Baseline characteristics

Table 1 presents the distribution of selected characteristics for the overall study sample divided by asthma status. The mean age of the study population was 13 years and majority of participants were Mexicans (36.5%) or Puerto Rican (42.6%). Compared to those without asthma, subjects with asthma were more likely to have had a symptomatic episode of RSV bronchiolitis or other symptomatic lower respiratory illness before age 2 years old (9.3% vs 0.9%; or 55.4% vs 10.1%, respectively), but there was no significant difference in PAI-1 genotype. Other differences by asthma status were minor in magnitude and are described in the online supplement.

Table 1

Demographic and clinical characteristics of subjects.

Variable	Total (n = 3483)	Asthma (n = 1736)	Non-asthma (n = 1747)	P value
Age, mean (SD), years	13.18 (3.49)	12.60 (3.32)	13.75 (3.56)	0.000 a
Male, No (%)	1735 (49.8)	961 (55.4)	774 (44.3)	0.000 b
BMI, mean (SD)	23.51 (6.66)	23.25 (6.56)	24.60 (6.93)	0.000 a
Ethnicity, No (%)
Mexican	1271 (36.5)	602 (34.7)	669 (38.3)	0.027 b
Puerto Rican	1485 (42.6)	735 (42.3)	750 (42.9)	0.724
Other Latino	620 (17.8)	338 (19.5)	282 (16.1)	0.010 b
Mixed Latino	106 (3.0)	61 (3.5)	45 (2.6)	0.107
Ancestry proportion, mean (SD)
African	0.14 (0.13)	0.15 (0.13)	0.13 (0.12)	0.000 a
European	0.59 (3.81)	0.54 (0.19)	0.65 (5.37)	0.216
Country born: USA, No (%)	1703 (49.6)	732 (43.0)	971 (56.2)	0.000 b
Recruited center, No (%)
IL	639 (18.4)	310 (17.9)	329 (18.8)	0.492
TX	365 (10.5)	197 (11.4)	168 (9.6)	0.087
NY	545 (15.7)	290 (16.8)	255 (14.6)	0.078
SF	636 (18.3)	317 (18.3)	319 (18.3)	0.955
PR	1289 (37.1)	614 (35.5)	675 (38.7)	0.056
Frequency of allergic sensitization	1809 (52)	1076 (62)	733 (42)
Family history of Asthma, No (%)
Mother	771 (22.8)	561 (33.1)	210 (12.4)	0.000 b
Father	463 (14.4)	334 (20.8)	129 (8.0)	0.000 b
Siblings	1343 (41.6)	866 (53.4)	477 (29.8)	0.000 b
Infection history before age 2 yrs, No (%)
RSV bronchiolitis	177 (5.1)	161 (9.3)	16 (0.9)	0.000 b
LRI	1126 (32.7)	952 (55.4)	174 (10.1)	0.000 b
Environments
Pet exposure during 1st yr of life, No (%)
Cat	371 (10.8)	179 (10.4)	192 (11.1)	0.501
Dog	1165 (33.8)	542 (31.4)	623 (36.1)	0.003 b
Farm animals	358 (10.4)	148 (8.6)	210 (12.1)	0.001 b
Smoke, No (%)
Mother smoke during pregnancy	168 (4.9)	97 (5.6)	71 (4.1)	0.039 b
Adults smoke before age 2yrs	784 (25.3)	437 (27.7)	347 (22.8)	0.002 b
Children ever tried smoking	150 (4.3)	58 (3.3)	92 (5.3)	0.005 b
Children current smoking	1 (0.1)	0 (0.0)	1 (0.2)	0.450
Received antibiotics during 1st yr of life, No (%)	1288 (41.7)	774 (49.7)	514 (33.6)	0.000 b
Daycare, No (%)	812 (23.8)	443 (25.9)	369 (21.7)	0.004 b
Socioeconomic characteristics
Mother education, No (%)
< High school	1356 (38.9)	656 (37.8)	700 (40.1)	0.168
High school	913 (26.2)	471 (27.1)	442 (25.3)	0.219
Some college	1214 (34.9)	609 (35.1)	605 (34.6)	0.781
Income, No (%)
< $25,000	1227 (35.2)	623 (35.9)	604 (34.6)	0.417
$25–75,000	1195 (34.3)	634 (36.5)	561 (32.1)	0.006 b
> $75,000	1061 (30.5)	479 (27.6)	582 (33.3)	0.000 b
Insurance, No (%)	2195 (93.1)	1631 (95.2)	1564 (91.0)	0.000 b
rs2227631, No (%)
GG	1405 (40.3)	676 (38.9)	729 (41.7)	0.093
AG	1583 (45.4)	801 (46.2)	782 (44.8)	0.414
AA	495 (14.3)	259 (14.9)	236 (13.5)	0.233
AG+AA	2078 (59.7)	1060 (61.1)	1018 (58.3)	0.093
Lung function, mean (SD)
FEV1% predicted (pre-BD)	92.45 (15.65)	91.03 (16.03)	98.65 (12.04)	0.000 a
FVC % predicted (pre-BD)	96.03 (15.62)	95.55 (16.17)	98.14 (12.78)	0.000 a
FEV1/FVC ratio % predicted (pre-BD)	96.53 (8.86)	95.54 (9.00)	100.86 (6.70)	0.000 a

BMI, body mass index; IL, Illinois; TX, Texas; NY, New York; SF, San Francisco; PR, Puerto Rico; RSV, respiratory syncytial virus; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; BD, bronchodilator

a P < 0.05 from the t test for Asthma vs Non–Asthma.

b P < 0.05 from the χ2 test for Asthma vs Non–Asthma.

Risk of asthma

Table 2 presents 2 separate models evaluating the effect of genotype, and infection (tested separately). Firstly, the PAI-1 SNP rs2227631 itself does not increase the odds of developing asthma. Second, there was a significant increase in the likelihood of asthma in subjects with a history of early life infection such as RSV bronchiolitis and other LRI (OR 9.9, 95% CI 4.9–20.2; OR 9.1, 95% CI 7.2–11.5, respectively). If the presence of either RSV or LRI was tested in a similar model, the findings were unchanged (OR 10.1, 95% CI 8.2–12.4). In Figs 1 and 2, we display the joint association of the PAI-1 risk genotype and early life infection with the diagnosis of asthma. While there was an increase of asthma risk in GG-RSV group, there was an even more dramatic increase in the AG/AA+RSV group (Fig 1—OR 4.1, 95% CI 1.5–11.2; OR 17.7, 95% CI 6.3–50.2, respectively). Similar findings of lesser magnitude were noted in the GG+LRI group and AG/AA+LRI group when compared to GG no LRI group (Fig 2—OR 7.7, 95% CI 5.5–11.0; OR 11.7, 95% CI 8.8–16.4, respectively). In models testing the interaction terms for LRI-genotype and RSV-genotype (accounting for main effects), the LRI-genotype interaction term was significant at a level of P = 0.014 and the RSV-genotype approached significance at a level of p = 0.08. Furthermore, in a subgroup analysis limited to subjects who had RSV or LRI, there was a clear genotype effect for the risk allele (AG/AA+RSV OR 4.3, 95% CI 1.04–17.95; AG/AA+LRI OR 1.58, 95% CI 1.06–2.34) compared to those who had RSV or LRI with the wild type GG allele. Finally, we also carried out a sensitivity analysis (since RSV was by report) whereby we combined those with either RSV or LRI by these definitions and found that the magnitude of effect was similar for the AA/AG+ either LRI or RSV (OR 12.9, 95% CI 9.6–17.3). The interaction term for any lower respiratory infection and genotype (accounting for main effects) was significant at the P = 0.002 level.

Table 2

Adjusted effects of rs2227631, and infection on asthma.

Analyses	N	OR* (95% CI)	P value†
Genotype alone—rs2227631
GG	1405	Reference
AG/AA	2078	1.051 (0.878–1.259)	0.588
Infection history before age 2 yrs alone
RSV bronchiolitis	177	9.920 (4.881–20.159)	0.000
LRI	1126	9.110 (7.233–11.474)	0.000

OR, odds ratio; CI, confidence interval; RSV, respiratory syncytial virus

*Adjusted for age, sex, ethnicity, ancestry, socioeconomic factors, environmental factors (history of farm animal exposure and received antibiotics during first year), family history of asthma and recruitment site.

†P values from multivariate regression analysis. Statistically significant P values are indicated in bold.

Fig 1

Joint association of bronchiolitis/ RSV and PAI-1 risk genotype (rs2227631) with Asthma.

RSV indicates subjects who were diagnosed with bronchiolitis or RSV before age 2 years old. Adjusted for age, sex, ethnicity, ancestry, socioeconomic factors, environmental factors (history of farm animal exposure and received antibiotics during first year), family history of asthma and recruitment site.

Fig 2

Joint association of early life lower respiratory tract infection and PAI-1 risk genotype (rs2227631) with Asthma.

LRI indicates subjects who were diagnosed with a lower respiratory tract infection requiring medical attention before age 2 years old. Adjusted for age, sex, ethnicity, ancestry, socioeconomic factors, environmental factors (history of farm animal exposure and received antibiotics during first year), family history of asthma and recruitment site.

Asthma Exacerbations

Table 3 presents 3 separate models (limited to subjects with asthma) evaluating the effect of genotype, infection, and then the joint effect of genotype and infection on asthma severity using three different parameters: steroid use ≥ 2 weeks, ER visit ≥ 2 times, and hospitalization ≥ 2 times all in the previous12 months. Considered the effect of genotype alone, the AG/AA genotype showed more than 2 times higher risk of hospitalization (P = 0.046, OR 2.2 95% CI 1.0–4.6). Similarly, subjects with a history of RSV bronchiolitis had significantly higher risk of having an ER visit ≥ 2 times in the previous 12 months (P = 0.001, OR 2.0 CI 95% 1.3–3.1). While findings were similar in direction for LRI, they failed to reach significance (P = 0.18, OR 1.2 95% CI 0.92–1.6, respectively). Finally, the PAI-1 SNP and RSV jointly increased the risk of ED visits and the risk of hospitalization by 1.8 and 3.1-fold respectively. However, there was no joint effect between the PAI-1 SNP and LRI on these asthma severity parameters.

Table 3

Adjusted effect of rs2227631, infection and rs2227631 gene-infection interaction on asthma exacerbations.

Analyses	Steroid use ≥ 2 weeks in past 12months		ER visit ≥ 2 times in past 12months		Hospitalizations ≥ 2 timesin past 12months
	OR* (95%CI)	P†	OR* (95%CI)	P†	OR* (95%CI)	P†
Genotype alone—rs2227631
GG	Reference		Reference		Reference
AG/AA	1.078 (0.774–1.501)	0.66	0.931 (0.713–1.216)	0.60	2.152 (1.013–4.572)	0.046
Infection history before age 2 yrs alone
RSV bronchiolitis	1.243 (0.800–1.931)	0.33	2.004 (1.314–3.057)	0.001	1.589 (0.740–3.412)	0.23
LRI	1.262 (0.910–1.752)	0.16	1.197 (0.917–1.562)	0.18	1.285 (0.670–2.464)	0.48
Gene-Infection analyses
rs2227631-RSV
GG No RSV	Reference		Reference		Reference
AG/AA No RSV	1.089 (0.765–1.550)	0.63	0.911 (0.689–1.204)	0.51	1.728 (0.794–3.761)	0.17
GG+RSV	1.255 (0.529–2.977)	0.61	2.408 (1.053–5.506)	0.04	‡	0.99
AG/AA+RSV	1.274 (0.734–2.211)	0.39	1.854 (1.111–3.092)	0.02	3.107 (1.143–8.450)	0.03
rs2227631- LRI
GG No LRI	Reference		Reference		Reference
AG/AA No LRI	0.954 (0.547–1.664)	0.87	0.709 (0.469–1.069)	0.10	2.075 (0.566–7.602)	0.27
GG+LRI	1.115 (0.634–1.961)	0.71	0.859 (0.561–1.315)	0.49	1.195 (0.278–4.970)	0.80
AG/AA+ LRI	1.278 (0.758–2.155)	0.36	0.991 (0.668–1.472)	0.96	2.645 (0.750–9.334)	0.13

OR, odds ratio; CI, confidence interval; RSV, respiratory syncytial virus

*Adjusted for age, sex, ethnicity, socioeconomic factors, environmental factors (history of smoke exposure), medication for asthma control and recruitment site. Analyses of SNP and SNP-infection also controlled for ancestry.

†P values from multivariate regression analysis. Statistically significant P values are indicated in bold.

‡ unable to estimate stable odds ratio due to small cell size.

Lung function

Table 4 presents 3 separate models (limited to subjects with asthma) evaluating the effect of genotype, infection, and then the joint effect of genotype and infection on lung function including three parameters; FEV1% predicted, FVC % predicted, and FEV1/FVC % predicted. Only the FEV1/FVC ratio was reduced in AG/AA genotype compared to GG genotype. Early life history of LRI was associated with decreases in FEV1/FVC ratio; but this was not significant for RSV bronchiolitis. When we looked at the joint effect of PAI-1 genotype-and early life infections, FEV1% predicted, and FEV1/FVC % predicted were further reduced in AG/AA+LRI group compared to GG no LRI group (P = 0.03, coefficient β -2.06 95% CI -3.97–-0.16; and P = 0.001, coefficient β -1.97 95% CI -3.10–-0.84, respectively). Similar findings were noted in the analyses of RSV with lower FEV1% predicted in AG/AA-RSV group. The findings for FEV1/FVC % predicted neared significance but showed a similar magnitude and direction of findings.

Table 4

Adjusted effect of rs2227631, infection and rs2227631gene-infection interaction on lung function in asthmatic subjects.

Analyses	FEV1% predicted		FVC % predicted		FEV1/FVC ratio % predicted
	Coefficient β* (95% CI)	P†	Coefficient β* (95% CI)	P†	Coefficient β* (95% CI)	P†
Genotype alone—rs2227631
GG	Reference		Reference		Reference
AG/AA	-1.212 (-2.530–0.105)	0.07	-0.517 (-1.812–0.778)	0.43	-0.787 (-1.570 –-0.003)	0.049
Infection history before age 2 yrs alone
RSV bronchiolitis	-1.854 (-4.315–0.606)	0.14	-1.032 (-3.458–1.393)	0.40	-0.988 (-2.430–0.453)	0.18
LRI	-1.195 (-2.528–0.138)	0.08	-0.060 (-1.256–1.370)	0.93	-1.311 (-2.090 –-0532)	0.001
Gene-Infection analyses
rs2227631-RSV
GG No RSV	Reference		Reference		Reference
AG/AA No RSV	-1.051 (-2.414–0.312)	0.13	-0.299 (-1.639–1.041)	0.66	-0.844 (-1.655 –-0.338)	0.04
GG+RSV	0.303 (-3.794–4.400)	0.88	1.005 (-3.024–5.033)	0.62	-0.848 (-3.285–1.589)	0.49
AG/AA+RSV	-3.113 (-6.050 –-0.177)	0.04	-1.741 (-4.628–1.146)	0.23	-1.601 (-3.347–0.146)	0.07
rs2227631-LRI
GG No LRI	Reference		Reference		Reference
AG/AA No LRI	-0.757 (-2.546–1.032)	0.41	-1.000 (-2.759–0.758)	0.26	0.243 (-0.816–1.301)	0.65
GG+LRI	-0.326 (-2.382–1.731)	0.75	-0.348 (-2.369–1.673)	0.74	-0.095 (-1.122–1.311)	0.88
AG/AA+ LRI	-2.063 (-3.971 –-0.155)	0.03	-0.234 (-2.109–1.641)	0.81	-1.971 (-3.101 –-0.843)	0.001

FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; BD, bronchodilator; CI, confidence interval; RSV, respiratory syncytial virus

*Adjusted for BMI, socioeconomic factors, medication for asthma control and recruitment site. Lung function parameters (% predicted values) were already adjusted with age, sex, and race. Additionally genotype and genotype-infection analyses were corrected for ancestry.

†P values from multivariate regression analysis. Statistically significant P values are indicated in bold.

Replication

We evaluated the asthma associations in the SAGE cohort with similar results. The SNP itself was not associated with asthma (OR 1.27, 95% CI 0.85–1.88), while both RSV (OR 14.3, 95% CI 1.71–119.53) and LRI (OR 22.1, 95% CI 11.8–41.4) were associated. We also replicated the joint effects for SNP-LRI association. While there was an increase of asthma risk in GG-LRI group, there was an even more dramatic increase in the AG/AA+LRI group (OR 20.4, 95% CI 8.9–46.9; OR 26.7, 95% CI 11.2–63.9, respectively). Despite a similar direction and magnitude of association, we were not able to replicate the SNP-RSV associations in the smaller SAGE cohort due to small numbers (n = 9) in this sub-group (OR 5.81, 95%CI 0.54–62.3 for AA/AG+RSV group). We also were not able to replicate the exacerbation and lung function associations in SAGE, possibly due to the smaller sample size.

Discussion

This study examines the effect of a common polymorphism in the PAI-1 gene and early life lower respiratory infections including RSV/bronchiolitis in patients with asthma. While the genotype itself was not associated with asthma risk, there was a significant interaction between early life infection and genotype on the outcome of asthma diagnosis. Asthma risk increased 17-fold when this genotype was present in individuals with symptomatic RSV / bronchiolitis infection and almost12-fold in those with other LRI in early life requiring medical attention. This finding was replicated in the SAGE II cohort for LRI, but not RSV potentially due to the small numbers of SAGE II subjects in the AG/AA+RSV group. Both LRI and RSV infection severe enough to require medical attention (10% and 1% of our control subjects respectively) and the genotype in question are common.[23,24] The frequencies of AG and AA genotypes were 45.4% and 14.3%; with an overall A allele frequency of 37%.

The joint effect of early life lower respiratory tract infection and the gain of function PAI-1 SNP is in keeping with other studies which suggest that the PAI-1 pathway is important in airway response to virus, and that an exaggerated response may be detrimental. PAI-1 plasma levels are increased in young children who had history of URI-induced repeated wheeze.[13] Human rhinovirus infection increases the production of PAI-1 in primary airway epithelial cells from subjects with asthma, and during an URI in subjects with asthma, nasal lavage and sputum PAI-1 levels increase.[12] These findings serve as in vitro and in vivo evidence of impact of respiratory viral infections on PAI-1 production in asthma. In murine models, PAI-1 deficiency protected against airway fibrosis, whereas PAI-1 overexpression enhanced fibrotic changes.[14,15] Blocking PAI-1 using either siRNA for PAI-1 or a PAI-1 inhibitor reduced airway inflammation, tissue remodeling and airway hyperreactivity.[16,17]

The rs2227631 SNP itself had significant influence on the FEV1/FVC ratio within our asthmatic subjects, which is contrast to the findings that this SNP alone was not associated with asthma risk. We did not have sufficient lung function data for non-asthmatic subjects to determine whether there is an effect in normal subjects who would presumably have less airway inflammation and less remodeling potential. Furthermore, early childhood lower respiratory tract infection and the SNP had a joint effect on FEV1 and the FEV1/FVC ratio. These findings raise the question of whether the rs2227631 SNP, in the context of viral insult, may cause increased production of airway PAI-1 enough to affect lung development in infants and cause structural airway changes that lead to lower lung function in subjects with asthma.

This study has a number of limitations. While there was a dose effect for A alleles in our preliminary analyses, our numbers were not sufficiently large to analyze the AA-infection group separately for RSV bronchiolitis. AG and AA groups were combined for the primary analysis to provide more precise and stable estimates. Secondly, both the PAI-1 SNP rs2227631 [18,25] and the 4G/5G polymorphism are promoter site polymorphisms [19,20,26] in strong linkage disequilibrium (D’ = 0.97),[18] making it difficult to determine which is functional even if the 4G/5G variant had been sequenced. However, others have used the rs2227631 genotype as a proxy for the 4G/5G locus, and found it to be the variant which was most highly associated with PAI-1 levels on GWAS analysis, suggesting that this may be the more important locus.[27] Third, the exposures of RSV/ bronchiolitis and LRI were based on a self-report questionnaire designed to elucidate infections resulting in lower respiratory symptoms in a child under the age of 2 years. This is based on the fact that most childhood respiratory illness is indeed due to viral pathogens as has been shown by the Hartert group.[24] While, it is also possible that a recall bias would have resulted in only more severe illnesses were reported, this is in keeping with our focus. Severe enough illness to require a visit to the physician increase the relevance of inflammation and PAI-1. Even if some subjects with less severe illness were systematically included in the “no severe infection group”, this would bias our analysis towards the null hypothesis, making our findings even more robust. Finally, it is also possible that asthmatic subjects may have greater recall of early wheezing illnesses which may increase the magnitude of the wheezing illness–asthma association. However, this effect should not bias the effect of genotype on asthma when studied within these symptomatic subjects as was evaluated in the subgroup analysis. This effect was clearly present, in contrast to the main analysis, which showed no genotype effect. Furthermore, other viruses may have caused symptomatic bronchiolitis and termed “RSV” by health care providers.[24] Over 70% of bronchiolitis is associated with RSV,[24] with most severe bronchiolitis associated with RSV or RSV/rhinovirus co-infection.[28] Thus, RSV is likely to be further enriched in this group beyond 70%. Regardless, our analyses were also consistent for LRI, a proof of the general principle. The importance of any early viral illness in the development of asthma in a susceptible host is underscored by a recent report that all viruses resulting in symptomatic illnesses in the first year of life (not just RV or RSV), increased the risk of asthma by age 7.[29]

Conclusion

In conclusion, a genetic variant of PAI-1 which increases PAI-1 production, together with either early life lower respiratory infection, was associated with asthma diagnosis, asthma exacerbations, and asthma severity based on reduced FEV1/FVC ratio in our Latino population. The asthma associations for genotype-LRI were replicated in a smaller African American population. Further prospective studies are needed to replicate our RSV-genotype findings in other non-latino populations, and determine if PAI-1 variants may serve as a biomarker of risk, which may provide impetus for clinical trials of primary prevention of asthma. In the interim, PAI-1 genotype in combination with significant LRI, identifies individuals at increased risk of developing asthma. Studies are needed to determine whether interventions affecting airway responses at time of early life LRI in these at risk individuals will decrease the chances of developing asthma.

GALAII supporting data.

This file includes data used to perform the primary analyses for this paper.

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