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Genetics and Molecular Biology

Print version ISSN 1415-4757

Genet. Mol. Biol. vol.33 no.1 São Paulo  2010  Epub Dec 18, 2009

https://doi.org/10.1590/S1415-47572009005000107 

Alpha-1 antitrypsin gene polymorphism in Chronic Obstructive Pulmonary Disease (COPD)

 

 

Sabri DendenI, *; Amel Haj KhelilI, *; Jalel KnaniII; Ramzi LakhdarI; Pascale PerrinIII; Gérard LefrancIV; Jemni Ben ChibaniI

IBiochemistry and Molecular Biology Laboratory, Faculty of Pharmacy, Monastir, Tunisia
IIPulmonology Department, CHU Tahar Sfar, Mahdia, Tunisia
IIIInstitute of Evolution Sciences, University of Montpellier-II, France
IVInstitute of Human Genetics, University of Montpellier-II, France

Send correspondence to

 

 


ABSTRACT

Alpha-1-antitrypsin (AAT) plays an important role in the pathogenesis of emphysema, the pathological lesion underlying the majority of the manifestations of Chronic Obstructive Pulmonary Disease (COPD). In this study we tested the hypothesis that common AAT polymorphisms influence the risk of developing COPDs. We investigated PiM1 (Ala213Val), PiM2 (Arg101His), PiM3 (Glu376Asp), PiS (Glu264Val) and PiZ (Glu342Lys) SERPINA1 alleles in 100 COPD patients and 200 healthy controls. No significant differences were observed in allele frequencies between COPD patients and controls, neither did haplotype analysis show significant differences between the two groups. A cross-sectional study revealed no significant relationship between common SERPINA1 polymorphisms (PiM1, PiM2, PiM3) and the emphysematous type of COPD. In addition, FEV1 annual decline, determined during a two-year follow up period, revealed no difference among carriers of the tested polymorphisms.

Key words: alpha-1 antitrypsin, SERPINA1 polymorphisms, COPD, emphysema, lung function.


 

 

Chronic obstructive pulmonary disease (COPD), a heterogeneous disorder, is a major cause of respiratory disability and the fourth major cause of death world-wide (World Health Organization, 2000). Exposure to cigarette smoke is recognized as the main environmental risk factor involved (Teramoto, 2007). Severe Alpha-1-antitrypsin deficiency (AATD) is a proven genetic risk factor, with about 80% of the subjects develop the disease between 30 to 40 years or earlier, in spite of only 1%-3% of COPD cases being due to severe AAT deficiency (Lomas and Silverman, 2001).

Alpha-1 antitrypsin (AAT) is a 52 kDa protein synthesized primarily by hepatocytes. Its main function is to inhibit the activity of neutrophile elastase in the lung. This is a protease capable of destroying the major structural proteins of the alveolar wall. Plasma AAT deficiency results in accelerated elastin degradation, leading to a loss of ventilator function and the subsequent development of emphysema (Mahadeva and Lomas, 1998). The AAT coding gene SERPINA1 is highly polymorphic, with more than 125 SNPs reported in public databases, its most common alleles being the normal M alleles and its subtypes (PiM1Ala, PiM1Val, PiM2, PiM3), besides the deficient alleles PiS and PiZ (Crystal, 1990). About 95% of the individuals with severe AATD are homozygous for PiZt (ATS/ERS, 2003), whereas PiSZ heterozygotes have approximately one-third of the normal AAT serum level, besides being highly prone to the development of diseases (Dahl et al., 2005). COPD risk among PiMZ heterozygotes has been previously analyzed with controversial results. Meta-analysis indicates a slight increase in risk of COPD in PiMZ individuals, with no significant lung-function impairment, compared to PiMM (Hersh et al., 2004).

A few studies on SERPINA1 common variants in COPD have been reported, also with controversial results. Matsuse et al. (1995), Shim (2001) and Kim et al. (2005) did not find a significant association between PiM1, PiM2 or PiM3 alleles and COPD, whereas Kwok et al. (2004) came across a significant increase in PiM1M3, PiM2M3 phenotypes and Gupta et al. (2005) reported a significant increase for the PiM3 allele in COPD patients.

For a better understanding of the association between SERPINA1 polymorphisms and COPD risk, we designed a case-control study to detect differences in the frequencies of common SNP alleles, haplotypes and genotypes, between patients and controls in relation to common polymorphisms.

We also investigated the relationship between common SERPINA1 polymorphisms and main COPD clinical manifestations. The major AAT neutrophile elastase inhibitory role is observed in alveolar parenchyma, the subsequent deficiency in plasma AAT concentration mainly resulting in emphysema (Needham and Stockley, 2004). We therefore compared the distribution of SERPINA1 polymorphisms between the bronchial and emphysematous types of COPD. In addition, COPD patients underwent a two-year follow up, in order to evaluate the annual FEV1 (Forced Expiratory Volume in 1 s) decline rate in relation to common SERPINA1 alleles. FEV1 is the hallmark of COPD since it is affected by inflammation and remodeling of the small airways as well as by emphysematous destruction of the terminal airspaces (Weiss et al., 2003).

The study population consisted of 100 COPD subjects who attended the Pneumology Department of Tahar Sfar Hospital in Mahdia. Inclusion criteria for patients with COPD were as follows: FEV1 < 80% of predicted value adjusted for age, weight and height, and an improvement in FEV1 following bronchodilator inhalation < 12% of baseline FEV1. Asthmatic patients showing a persistent airflow obstruction were excluded. COPD phenotype identification was based on chest radiographic and high-resolution computerized tomography (HRCT) density findings. Clinical characteristics of COPD patients are summarized in Table S1. Follow-up examinations were conducted with patients over a two-year period after baseline, with annually repeated spirometry tests. AATD individuals were excluded from analysis. Two hundred healthy controls were enrolled for the case-control study. They were recruited from a blood donor's cohort of Fattouma Bourguiba Hospital in Monastir. Subjects with respiratory diseases, or any family history of lung disease, were excluded. The distribution of both patients and controls, according to demographic characteristics, is shown in Table S2. Prior written informed consent was obtained from all the subjects according to the research protocol approved by the local ethics committee.

Total genomic DNA was extracted from peripheral blood leucocytes by a phenol-chloroform method. PCR-RFLP was employed for genotyping of PiM1 (Ala213 GCG Val GTG), PiS (Glu264 GAA Val GTA) and PiZ (Glu342 GAG Lys AAG) polymorphisms, as previously described (Ferrarotti et al., 2004). Briefly, we performed PCR amplification using exon III primers to detect the S and 213Ala/Val variants and exon V for the Z variant. The reactions were carried out in an I-cycler Thermal Cycler (Bio-Rad Laboratories). 4 U of SexAI and Hpy99I restriction enzymes (New England Biolabs) were used to digest 4 µL each of exon III and exon V amplified DNA, respectively. Genotyping of PiM2 (Arg101 CGT His CAT) and PiM3 (Glu376 GAA Asp GAC) was performed using hybridization probe analysis on Light Cycler 480 Roche apparatus (Roche Diagnostics), using a commercial real-time assay (LightMix®, Roche Diagnostics). For each SNP, the primers flanking the SNP and the oligonucleotide probes were designed and synthesized by the manufacturer. The reaction mixture was prepared in a 96-well PCR plate and processed according to manufacturer's instructions. Real-time PCR cycling conditions were as follows: 95 °C for 5 min, followed by 35 cycles of 95 °C for 10 s, 62 °C for 15 s and 72 °C for 15 s. After amplification, PCR products were analyzed in a melting step of 40-95 °C. Melting data were analyzed using the Genescanning module of the LightCycler 480 software.

Annual FEV1 decline (ml/year) was calculated as the difference between follow-up and baseline observed FEV1 values, divided by the number of months between the two surveys, and multiplied by 12. SPSS v.10.0 software was used for statistical analysis. Categorical variables were presented as percentages, and intergroup differences were compared using χ2 test or Fisher's exact tests. Continuous variables, described as mean ± standard deviation, were compared between the groups using Student's t test. Hardy Weinberg equilibrium tests and the estimation of allele and haplotype frequencies were performed using HPlus v. 2.5 software.

The frequency of PiM1, PiM2, PiM3, PiS and PiZ alleles and genotypes between COPD patients and healthy controls, was determined and compared (Table 1). Genotypes for all the polymorphisms were within Hardy-Weinberg proportions. There was no significant difference in the genotypic and allelic distribution of normal PiM1, PiM2 and PiM3 variants between subjects and controls. Deficient PiS and PiZ alleles were only reported in patients, with no apparent significant difference in relation to controls. Ten haplotypes were selected for studying by the expectation maximization procedure (Table 2), with no significant differences being detected between patients and controls by statistical comparison.

 

 

 

 

COPD patients were classified according to their predominant phenotype as follows: 53 subjects showed the bronchial type of the disease (chronic bronchitis group; mean age: 72.1 ± 7.6 years); 47 presented a predominant parenchymal destructive change (centrolobular and panlobular emphysema groups; mean age: 69.5 ± 12.2 years). Univariate analysis was employed to verify whether there were differences in COPD phenotypes among SERPINA1 genotypes (M1Ala containing vs. non M1Ala containing; M2 containing vs. non M2 containing and M3 containing vs. non M3 containing). The relationship between FEV1 annual decline, smocking and BMI and COPD phenotypes was also examined. No significant differences were detected (Table 3).

 

 

Lung function impairment in patients was assessed by the annual FEV1 decline rate. After exclusion of AAT deficient individuals, 96 patients underwent a two-year follow up Annual FEV1 decline means were compared according to age, smoking habits and SERPINA1 polymorphisms. No significant relationship between annual FEV1 decline and the tested variables was detected (Table 4).

 

 

In summary, our findings are consistent with observations that there is no significant difference in the frequency of common SERPINA1 variants in COPD patients, when compared to healthy controls. We also verified that there is no correlation between these alleles and the manifestation of emphysema, since there was no difference in their distribution in patients with bronchial and emphysematous types of COPD. Furthermore, no significant relationship between SERPINA1 polymorphisms and annual FEV1 decline evaluated over a two-year period in COPD patients was found. To our knowledge, this is the first report on clinical manifestations of COPD in relation to common AAT variants.

 

Acknowledgments

This work was supported by a grant from the Ministry of Education and Scientific Research in Tunisia.

 

References

ATS/ERS Statement (2003) Standards for the diagnosis and management of individuals with alpha-1 Antitrypsin deficiency. Lung disease section. Am J Respir Crit Care Med 168:823-849.         [ Links ]

Crystal RG (1990) a1-antitrypsin deficiency, emphysema, and liver disease genetic basis and strategies for therapy. J Clin Invest 85:1343-1352.         [ Links ]

Dahl M, Hersh CP, Ly NP, Berkey CS, Silverman EK and Nordestgaard BG (2005) The protease inhibitor PI*S allele and COPD: A meta-analysis. Eur Respir J 26:67-76.         [ Links ]

Ferrarotti I, Zorzetto M, Scabini R, Mazzola P, Campo I and Luisetti M (2004) A novel method for rapid genotypic identification of alpha1-antitrypsin variants. Diagn Mol Pathol 12:160-163.         [ Links ]

Gupta J, Bhadoria DP, Lal MK, Kukreti R, Chattopadhaya D, Gupta VK, Dabur R, Yadav V, Chhillar AK and Sharma GL (2005) Association of the PIM3 allele of the alpha-1-antitrypsin gene with chronic obstructive pulmonary disease. Clin Biochem 38:489-491.         [ Links ]

Hersh CP, Dahl M, Ly NP, Berkey CS, Nordestgaard BG and Silverman EK (2004) Chronic obstructive pulmonary disease in alpha 1-antitrypsin PI MZ heterozygotes: A meta-analysis. Thorax 59:843-849.         [ Links ]

Kim CH, Yim JJ, You CG, Lee CT, Kim YW, Han SK and Shim YS (2005) Alpha-antitrypsin genotypes in Korean patients with chronic obstructive pulmonary disease. Respirology 10:223-228.         [ Links ]

Kwok JSY, Lawton JWM, Yew WW, Chau CH, Lee J and Wong PC (2004). Protease inhibitor phenotypes and serum alpha-1-antitrypsin levels in patients with COPD: A study from Hong Kong. Respirology 9:265-270.         [ Links ]

Lomas DA and Silverman EK (2001) The genetics of chronic obstructive pulmonary disease. Respir Res 2:20-26.         [ Links ]

Mahadeva R and Lomas DA (1998) Genetics and respiratory disease* 2: Alpha 1 antitrypsin deficiency, cirrhosis and emphysema. Thorax 53:501-505.         [ Links ]

Matsuse T, Fukuchi Y, Matsui H, Sudo E, Nagase T and Orimo H (1995) Effect of cigarette smoking on pulmonary function in each phenotype M of a-1-Protease inhibitor*. Chest 107:395-400.         [ Links ]

Needham M and Stockley RA (2004) a1-antitrypsin deficiency * 3: Clinical manifestations and natural history. Thorax 59:441-445.         [ Links ]

Shim YS (2001) Epidemiological survey of chronic obstructive pulmonary disease and alpha-1 antitrypsin deficiency in Korea. Respirology 6:S9-S11.         [ Links ]

Teramoto S (2007) 1. COPD pathogenesis from the viewpoint of risk factors. Intern Med 46:77-79.         [ Links ]

Weiss ST, DeMeo DL and Postma DS (2003) COPD: Problems in diagnosis and measurement. Eur Respir J 21:4s-12s.         [ Links ]

 

Internet Resources

HPlus software v 2.5, http://qge.fhcrc.org/hplus (June 18, 2007).         [ Links ]

World Health Organization (2000) the World Health Report 2000, http://www.who.int/whr/2000/en/ (December 3, 2008).         [ Links ]

 

Supplementary Material

The following online material is available for this article:

- Table S1 - Clinical characteristics of COPD patients at baseline.

- Table S2 - Demographic characteristics of COPD patients and healthy controls

This material is made available as part of the on-line article from http://www.scielo.br.gmb.

 

 

Send correspondence to
Denden Sabri
Biochemistry and Molecular Biology Laboratory, Faculty of Pharmacy
1, AV. Avicenne 5019, Monastir, Tunisia
E-mail: denden_sabri@yahoo.fr

Received: January 16, 2009; Accepted: September 9, 2009.

 

 

Associate Editor: Francisco Mauro Salzano
* These authors contributed equally to this work.

 

 

 

 

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