Positive Association between Aspirin-Intolerant Asthma and Genetic Polymorphisms of FSIP1: a Case-Case Study
- Jason Yongha Kim†1,
- Jeong Hyun Kim†1,
- Tae Joon Park1,
- Joon Seol Bae1,
- Jin Sol Lee1,
- Charisse Flerida Pasaje1,
- Byung Lae Park2,
- Hyun Sub Cheong2,
- Jong-Sook Park3,
- Sung-Woo Park3,
- Soo-Taek Uh4,
- Mi-Kyeong Kim5,
- Inseon S Choi6,
- Sang Heon Cho7,
- Byoung Whui Choi8,
- Choon-Sik Park3Email author and
- Hyoung Doo Shin1, 2Email author
© Kim et al; licensee BioMed Central Ltd. 2010
Received: 4 March 2010
Accepted: 1 June 2010
Published: 1 June 2010
Aspirin-intolerant asthma (AIA), which is caused by non-steroidal anti-inflammatory drugs (NSAIDs) such as aspirin, causes lung inflammation and reversal bronchi reduction, leading to difficulty in breathing. Aspirin is known to affect various parts inside human body, ranging from lung to spermatogenesis. FSIP1, also known as HDS10, is a recently discovered gene that encodes fibrous sheath interacting protein 1, and is regulated by amyloid beta precursor protein (APP). Recently, it has been reported that a peptide derived from APP is cleaved by α disintegrin and metalloproteinase 33 (ADAM33), which is an asthma susceptibility gene. It has also been known that the FSIP1 gene is expressed in airway epithelium.
Aim of this study is to find out whether FSIP1 polymorphisms affect the onset of AIA in Korean population, since it is known that AIA is genetically affected by various genes.
We conducted association study between 66 single nucleotide polymorphisms (SNPs) of the FSIP1 gene and AIA in total of 592 Korean subjects including 163 AIA and 429 aspirin-tolerant asthma (ATA) patients. Associations between polymorphisms of FSIP1 and AIA were analyzed with sex, smoking status, atopy, and body mass index (BMI) as covariates.
Initially, 18 SNPs and 4 haplotypes showed associations with AIA. However, after correcting the data for multiple testing, only one SNP showed an association with AIA (corrected P-value = 0.03, OR = 1.63, 95% CI = 1.23-2.16), showing increased susceptibility to AIA compared with that of ATA cases. Our findings suggest that FSIP1 gene might be a susceptibility gene for aspirin intolerance in asthmatics.
Although our findings did not suggest that SNPs of FSIP1 had an effect on the reversibility of lung function abnormalities in AIA patients, they did show significant evidence of association between the variants in FSIP1 and AIA occurrence among asthmatics in a Korean population.
Asthma is a disease that affects a large number of people globally, which is estimated to be about 300 million worldwide  and about 3 million asthma patients in South Korea. The disease is defined by the lung inflammation and difficulty of breathing when the suspect is under the influence of various factors that trigger the asthma reaction. Among these factors, non-steroidal anti-inflammatory drugs such as aspirin are known to cause aspirin-intolerant asthma. The AIA was first described in 1922 [2, 3], and its most noticeable symptoms include aspirin sensitivity, bronchial asthma, and chronic rhinosinusitis with nasal polyposis [4–6]. When non-steroidal anti-inflammatory drugs such as aspirin are ingested, the drugs cause bronchoconstriction in the patients. Aspirin, also known as acetylsalicylic acid, is primarily used as pain and fever reliever, and as an anti-inflammatory medication. One function of aspirin is decrease of prostaglandin production, with the most significant effect of decrease in the prostaglandin on the alleviation of inflammation and pain.
Recently, there have been several reports that found the relation between AIA and genetic polymorphisms, such as Adenosine A1 receptor (ADORA1) polymorphisms 1405C > T and A102A ; several polymorphisms in prostaglandin receptors and thromboxane receptor ; Interleukin 10 (IL10) polymorphism -1082 A > G ; cysteinyl leukotriene receptor 1 (CYSLTR1) promoter polymorphism -634C > T ; angiotensin I converting enzyme (ACE) polymorphisms -262 A > T and -115 T > C ; and Fc Fragment of IgE (FCER1G) polymorphism -237A > G . These results suggest that other genes or complex signal pathways might be related to the development of aspirin hypersensitivity in asthmatics.
Fibrous sheath interacting protein 1 gene (FSIP1), also known as HSD10, is a recently discovered gene that was first described in 2003 . With its primary function on protein binding, the FSIP1 gene is expressed in airway epithelium (GSE4498 and GDS2486, GEO database) . It has been reported that FSIP1 is regulated by amyloid beta (Aβ) precursor protein (APP) . APP is an integral membrane protein expressed in many tissues, and particularly, in the synapses of neurons. There has been a report that APP is cleaved by α disintegrin and metalloproteinase 33 (ADAM33), which is an asthma susceptibility gene [14, 15]. Based on these findings, we hypothesized FSIP1 gene could have an effect on the mechanism of aspirin on the various levels, including onset of AIA, and conducted association analyses of FSIP1 gene polymorphisms between AIA and ATA patients. We also conducted association analyses between SNPs of FSIP1 and fall rate of FEV1 by aspirin provocation.
Clinical profiles of AIA patients and ATA cases.
Asthmatics (all subject)
Age of first medical examination (mean (range))
160.78 ± 8.63
161.72 ± 8.69
160.42 ± 8.39
62.81 ± 10.84
61.25 ± 10.38
63.40 ± 10.97
Fall rate (%)
9.27 ± 13.24
24.63 ± 16.11
3.54 ± 4.85
Blood eosinophil (%)
6.01 ± 5.73
5.96 ± 5.21
6.03 ± 5.92
FVC %, predicted
88.54 ± 14.08
90.35 ± 14.04
87.85 ± 14.05
FEV1 %, predicted
90.54 ± 16.97
87.58 ± 16.94
91.66 ± 16.87
PC20, methacholine (mg/ml)
6.43 ± 8.67
5.02 ± 7.83
6.91 ± 8.90
Total IgE (IU/ml)*
156 (62, 394)
164 (78, 357)
154 (53, 416)
Current Smoker (%)
Positive rate of skin test (%)
All patients had a history of dyspnea and wheezing during the previous 12 months, plus one of the following: 1) >15% increase in FEV1 or >12% increase plus 200 mL following inhalation of a short-acting bronchodilator, 2) <10 mg/mL PC20 methacholine, and 3) >20% increase in FEV1 following 2 weeks of treatment with inhaled steroids and long-acting bronchodilators. Twenty-four common inhalant allergens were used for a skin prick test . Total IgE was measured by the CAP system (Pharmacia Diagnostics, Uppsala, Sweden). Atopy was defined as having a wheal reaction equal to or greater than histamine or 3 mm in diameter. The asthmatic patients had experienced no exacerbation of asthma and respiratory tract infection in the 6 weeks preceding oral aspirin challenge (OAC). OAC was performed with increasing doses of aspirin using methods slightly modified from those described previously [9, 18]. Changes in FEV1 were followed for 5 hours after the last aspirin challenge dose. Aspirin-induced bronchospasms, as reflected by rate (%) of FEV1 decline, were calculated as the pre-challenge FEV1 minus the post-challenge FEV1 divided by the pre-challenge FEV1. OAC reactions were categorized into 2 groups as follows: 15% or greater decreases in FEV1 with naso-ocular or cutaneous reactions (aspirin intolerant asthma: AIA), and less than 15% decreases in FEV1 without naso-ocular or cutaneous reactions (aspirin tolerant asthma: ATA).
SNP selection and genotyping
We selected candidate SNPs showing polymorphic in the National Center for Biotechnology Information (build 36), and then genotyped in 163 AIA and 429 ATA subjects. Genotyping was performed at a multiplex level of using the Illumina Golden Gate genotyping system  and data quality was assessed by duplicate DNAs (n = 10). The genotype quality score for retaining data was set to 0.25. SNPs that could not satisfy the following criteria were excluded: (i) a minimum call rate of 90%; (ii) no duplicate error; (iii) Hardy-Weinberg equilibrium greater than P > 0.001. A total of 66 SNPs from FSIP1 were successfully genotyped.
We examined Lewontin's D' (|D'|) and the linkage disequilibrium (LD) coefficient r 2 between all pairs of biallelic loci. Linkage disequilibrium was inferred using the algorithm developed by the Broad Institute (using the program Haploview) . Haplotypes were first estimated by using PHASE software , and then computed by logistic analyses using the Statistical Analysis System (SAS). Subjects harboring missing genotypes were omitted in the analysis of individual single-nucleotide polymorphisms and haplotypes. The genotyping success rate was >99%, so it is unlikely that omitting a small number of individuals introduced any bias in the analysis. The genotype and haplotype association with AIA were analyzed using logistic models with age (continuous value), gender (male = 0, female = 1), smoking status (non-smoker = 0, ex-smoker = 1, smoker = 2), atopy (absence = 0, presence = 1), and BMI as covariates. Significant associations are shown in bold face (P < 0.05). The common alleles were used as the referent genotype to the heterozygote and homozygote of the minor allele in referent analysis. The association analyses of differences in the fall rates in FEV1 following aspirin challenge with the genotypes and haplotypes were examined by regression analysis using SAS. The data were managed and analyzed using SAS. The effective numbers of independent marker loci in each genes were calculated to correct for multiple testing using the software SNPSpD , which is based on the spectral decomposition (SpD) of matrices of pair-wise LD between SNPs .
A total of 592 asthma patients were recruited for this study, and there were 163 AIA patients and 429 ATA cases (Table 1). First of all, the fall rate by aspirin provocation in AIA patients showed significantly higher fall rate (24.63%) than ATA cases (3.54%) (P < 0.0001, Table 1). Among the total subjects, 27.70% were current smokers, with more smokers within ATA patients (30.07%) than AIA patients (21.47%). Also, the positive skin test rate of AIA was smaller than that of ATA patients (52.76 and 57.81, respectively).
Logistic and statistical analyses of FSIP1 SNPs in haplotype block 1.
Association analysis between SNPs of FSIP1 gene and the fall of FEV1 by aspirin provocation.
9.74 ± 13.12
8.25 ± 13.03
9.88 ± 15.55
8.29 ± 12.05
9.49 ± 14.15
13.54 ± 14.55
8.84 ± 12.89
9.58 ± 13.87
10.88 ± 12.14
8.30 ± 12.03
9.56 ± 14.13
13.38 ± 14.86
8.36 ± 12.33
9.81 ± 14.15
12.76 ± 14.11
11.33 ± 15.8
8.34 ± 11.80
8.76 ± 12.69
9.15 ± 13.02
0.71 ± 17.32
8.38 ± 12.32
9.80 ± 14.18
12.68 ± 14.14
9.57 ± 13.93
9.30 ± 12.54
6.09 ± 9.94
11.40 ± 15.8
8.25 ± 11.78
8.87 ± 12.64
11.46 ± 15.8
8.23 ± 11.77
8.87 ± 12.64
9.08 ± 13.21
8.22 ± 11.59
11.41 ± 15.8
9.08 ± 13.21
8.22 ± 11.59
11.41 ± 15.8
11.52 ± 15.9
8.20 ± 11.76
8.91 ± 12.62
9.25 ± 12.60
9.21 ± 13.94
9.24 ± 14.74
Logistic and statistical analyses of FSIP1 haplotypes.
Most of the SNPs were located in intronic region, but two SNPs, rs10152640 and rs16969386, were located in exon region. They also caused amino acid change, as rs10152640 caused cysteine to arginine amino acid change at position 402 and rs16969386 caused glycine to alanine amino acid change at position 528. Nonsynonymous amino acid changes have significant effect on the expression and function of the protein [23, 24]. In particular, the hydrophobicity change from cysteine to arginine (2.5 and -4.5 of hydrophobicity, respectively) on the rs10152640 could induce a critical conformational or functional change of the protein. However, when the association between two nonsynonymous SNPs of FSIP1 and the fall rate of FEV1 by aspirin provocation was analyzed, no significant association was found (data not shown), indicating that these nonsynonymous variants could not have a direct effect on the activities of FSIP1 protein.
From the association analyses of FSIP1 gene with AIA, we initially found 18 polymorphisms that showed association. In addition, significant associations of several SNPs in FSIP1_BL1 and FSIP1_BL2 with the fall rate of FEV1 by aspirin provocation were found (data for FSIP1_BL2 not shown). However, after multiple testing correction, only rs7179742 (P = 0.0007, P cor. = 0.03, OR = 1.63, 95% CI = 1.23-2.16) showed increased susceptibility of AIA. The possible susceptibility of rs7179742 to AIA was reinforced by the significant association of this variant with the increased fall rate of FEV1 by aspirin provocation (P = 0.01 in co-dominant model, Table 3). Although this SNP is located in the intronic region of the gene, intronic region can still affect overall transcription in different ways. It was reported that introns can affect transcription efficiency , and another study demonstrated that variations in intronic region can lead to splicing abnormalities, which in turn may lead to human diseases . It was also reported recently that a SNP located in intronic region showed an association with asthma . On the other hand, in additional analysis of LD near FSIP1 in Asian populations (Chinese and Japanese) from the International HapMap Project http://hapmap.ncbi.nlm.nih.gov/, the FSIP1 gene is in LD with the thrombospondin-1 (THBS1 or TSP-1) gene (Additional File 2). The THBS1 gene has been implicated in the network underlying the pulmonary response to oxidative stress in asthma . More interestingly, aspirin, as an inhibitor of THBS1, has recently shown to lead to reduction in THBS1 levels . This suggests that FSIP1 might have an effect on aspirin hypersensitivity in asthma, with relation to the nearby potential gene of THBS1.
The FSIP1 gene has been discovered very recently. FSIP1 is regulated by APP, an integral member protein that is found in many tissues. APP, in turn, is cleaved by an asthma susceptible gene called ADAM33 . ADAM33 polymorphisms have been associated with asthma risk in various populations, including Korea , Thai, Han Chinese and Japanese [32–34], who are closely related with Korean population, especially Han Chinese and Japanese. The ADAM33 polymorphisms have also been related with asthma risk of smoking population [35, 36]. These results suggest that the FSIP1 gene could have a correlation with APP and/or ADAM33 in development of asthma. In addition, the fact that aspirin affects wide range of human body, from lung to blood clotting to spermatogenesis, has to be considered. Naturally, the mechanism and pathways of aspirin is intricate and complicated.
One of limitation of our study is the small number of AIA patient, which might result in decreasing the statistical power of this study. However, considering the rareness of AIA condition, our results could provide supporting information, with further needs of replication in large number of subjects. Taken together, even though current knowledge of FSIP1 gene implicates that it only affects a small part out of aspirin pathways, our findings suggest a new relation between FSIP1 and aspirin hypersensitivity that explains the association found in this study.
In summary, we found 18 SNPs and 4 haplotypes of FSIP1 showing associations with AIA initially, and after multiple testing correction, one SNP, rs7179742 showed significant association with AIA. Although the relation between the FSIP1 gene and AIA is not yet clearly understood, our findings suggest that FSIP1-related regulations of APP and ADAM33 may play a role for the development of aspirin hypersensitivity in asthmatics, along with the fact that FSIP1 is expressed in airway epithelium. Future researches should concentrate on this part to discover more about the role of FSIP1 gene and also the relation between the gene and various diseases including AIA.
- FSIP1 :
Fibrous sheath-interacting protein 1
Amyloid beta (Aβ) precursor protein
- ADAM33 :
α disintegrin and metalloproteinase 33
Single nucleotide polymorphism
Body mass index
- FEV1 :
Forced expiratory volume in 1 second
Oral aspirin challenge
Platelet activating factor
Forced Vital Capacity
- P P :
value, and P cor. Corrected P :value
This work was supported by a grant from the Korea Health 21 R&D Project (A010249); a grant number M1-0302-00-0073 from Korea Science and Engineering Foundation (KOSEF) funded by the Korea government (MEST) (No. 2009-0080157); an Intramural Research Grant of the Korea National Institute of Health (grant number 4800-4845-300-260-00); an Intramural Research Grant from Sogang University (grant number 200810021.01); and a Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2009-0093822). The DNA samples were generously provided by the Soonchunhyang University, Bucheon Hospital Biobank, a member of the National Biobank of Korea, supported by the Ministry of Health, Welfare and Family Affairs, Republic of Korea.
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