Received date: May 23, 2013; Accepted date: June 14, 2013; Published date: June 17, 2013
Citation: de Lima Marson FA, Bariani Marcelino AR, Rezende LM, Ribeiro AF, Ribeiro JD, et al. (2013) The IFRD1 (57460C>T Polymorphism) Gene: A Negative Report in Cystic Fibrosis Clinical Severity. J Mol Genet Med 7:058. doi:10.4172/1747-0862.1000058
Copyright: © 2013 de Lima Marson FA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Cystic fibrosis (CF) is an autosomal recessive disease caused by more than 1,900 mutations in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene. In CF, one intriguing aspect is that patients, with same CFTR mutation, can have high clinical variability. Thus, the CFTR genotype does not seem to be the only determining factor in the clinical severity modulation. Therefore, the modifier genes and the environment must be considered. The IFRD1 (Interferon-related developmental regulator 1) gene, acts on the immune system and in the recruitment of immune cells, and consequently could be a modulator. In our data we included 88 CF patients, diagnosed by CFTR mutation screening and positive sweat test. The 57460C>T polymorphism screening in the IFRD1 gene was made by polymerase chain reaction associated to enzymatic digestion. A genotypic comparison was performed with 23 CF clinical variables. The data was analyzed by the SPSS program considering α=0.05. The patients were analyzed considering the CFTR genotype characteristic by mutation class. In our data 64.77% of patients had mutations of classes I, II or III in the CFTR gene. The IFRD1 polymorphism frequency was 28 (12.99%), 35 (75.32%) and 25 (11.69%) to the CC, CT and TT genotypes, respectively. In our study, the 57460C>T polymorphism in the IFRD1 gene was not associated with the CF clinical variables. The analysis was performed with and without consideration of the CFTR genotype, and after correction for multiple testing (Bonferroni test), no positive association was observed in both cases. Taking into account our results, in the CF patients population analyzed, there were no associations of the 57460C>T polymorphism in the IFRD1 gene with the CF clinical variables.
Cystic fibrosis; IFRD1 gene; Genotype; Phenotype; Variability; Lung disease; Polymorphism; CFTR gene
The cystic fibrosis (CF) is a monogenic, autosomal and recessive disease, with wide clinical variability [1-3]. Children with same CFTR (Cystic Fibrosis Transmembrane Regulator) genotype, siblings or twins, show wide clinical variability , however, monozygotic twins have a higher clinical concordance than dizygotic twins. In this case, the modifier genes should be considered [5-7] principally genes involved in the control of infection, immunity and inflammation. The expression of modifier genes, conditioned by their polymorphisms, can act: (i) in ion transport by without CFTR channel, on a molecular level, (ii) by altering chlorine conduction, (iii) in controlling the splicing and expression of the CFTR gene, (iv) by altering the mucociliary clearance, and (v) in the repair of epithelial tissue [2,6-8].
Our group has studied CF severity in association with modifier genes, including: MBL-2, TGF-ß1, CD14 , GSTM1, GSTT1 , ACE , ADRB2 , TCF7L2 , COX-2  and ADRA2A . In our studies, the polymorphisms are associated with clinical variables including clinical markers of the pulmonary and digestive disease.
The IFRD1 (Interferon-Related Developmental Regulator 1) gene, region 7q31.1, has 13 exons, with 52 Kb, transcribed with 1,834 bases pair, and is responsible for encoding a protein with 451 amino acids . The correct function of IFRD1 protein is dependent of the histone deacetylase that is expressed in the late of the neutrophils differentiation, being important in neutrophil function [17,18]. The single sequence polymorphism, rs7817 [exchanging a cytosine to thymine at position 57460], in the 3'UTR region of the IFRD1 gene, had the heterozygous genotype (CT) associated with worse lung function than the homozygous (CC and TT). Although the IFRD1 gene is located on chromosome 7, as is the CFTR gene, both genes have independent segregation .
In CF patients, the neutrophils are recruited continuously in the airways, causing persistent inflammatory response . As the severity of the inflammatory response varies, even among patients with identical CFTR genotype, there is a need to study genes involved in the neutrophil production and maturation in CF . A few studies related the IFRD1 gene as CF modifier gene, considering its ability to modulate the amplitude of the immune response of neutrophils [18-20].
In this study, we selected the IFRD1 (57460C>T) polymorphism with expression related to the immune system. The IFRD1 protein is expressed in mature neutrophils and is able to interact with the histone deacetylase enzyme , acting in cellular differentiation and oxidative stress. Since CF pulmonary disease is characterized by neutrophilic inflammation and oxidative stress, the IFRD1 action can exert a key role in regulating airway inflammation . In this context, the aim of this study was to analyze the polymorphism 57460C>T in the IFRD1 gene in association with 27 clinical variables in CF patients.
Patient and methods
This was a cross-sectional study conducted in a university center for CF care between 2011 and 2012. All CF patients were invited participants of the study. CF patients without data or informed consent were not included. The CF diagnosis was confirmed by two doses of sodium and chloride from the sweat with values greater than 60 mEq/L. In a patient’s cohort, the CFTR mutation was identified. No patient had diagnosis made by neonatal screening test.
Eighty eight patients were selected for the study. Patients' DNA was obtained by phenol-chloroform extraction. The DNA concentration used for analysis was 50 ng/mL, evaluated using GE NanoVue™ Spectrophotometer (GE Healthcare Biosciences, Pittsburgh, USA).
The clinical variables were employed: (i) clinical scores (Shwachman-Kulczycki, Kanga and Bhalla) ; (ii) body mass index (BMI) for the patients older than 19 years of age the BMI= weight/ (height)2 formula was used; for the remaining patients: WHO ANTHRO program (children 0 - under 5 years old) and WHO ANTHRO PLUS program (children 5 - under 19 years old) were used (http://www. who.int/en/); (iii) patient age; (iv) time for the diagnosis (according to sodium and chloride dosage); (v) first clinical symptoms (digestive and pulmonary); (vi) time for the 1st colonization by Pseudomonas aeruginosa; (vii) bacteria in the respiratory airways (P. aeruginosa mucoid and no mucoid, Achromobacter xylosoxidans, Burkolderia cepacia and Staphylococcus aureus); (viii) transcutaneous hemoglobin oxygen saturation; (ix) spirometry; (x) comorbidities.
Spirometry was performed in patients older than 7 years old, using the CPFS/D spirometer (MedGraphics, Saint Paul, Minnesota, USA). Data was recorded by the PF BREEZE software version 3.8B for Windows 95/98/NT  and the following variables were included: forced vital capacity [FVC (%)], forced expiratory volume in the first second [FEV1 (%)], ratio between FEV1 and FVC (%) [FEV1/FVC (%)] and forced expiratory flow between 25 and 75% of the FVC [FEF25-75%].
The comorbidities included in the study were nasal polyps (diagnosed by physical examination and/or rhinoscopy), osteoporosis (diagnosed by bone densitometry), meconium ileus (diagnosed by meconium presence in the birth), diabetes mellitus type 2 (diagnosed by glucose tolerance exam) and pancreatic insufficiency (diagnosed by steatocrit).
This study was approved by the Institutional Ethics Committee from University of Campinas - Faculty of Medical Sciences (#052/2011), and all patients signed a consent form before beginning the study.
The CFTR mutation identification
The CFTR mutation identification was performed by polymerase chain reaction (pcR) (F508del) and fragment length polymorphism method (G542X, R1162X, R553X, G551D and N1303K). Some mutations in CF patients were obtained by sequencing or MLPA (Multiplex Ligation-dependent Probe Amplification) analysis: 1717- G>A and I618T. For sequencing and MLPA, we used MegaBace1000® sequencer (GE Healthcare Biosciences, Pittsburgh, USA).
The CFTR genotype was used as a correction factor for statistical analysis. All mutations identified were included in the class I, II or III of the CFTR gene. Other identified mutations, class IV (P205S) were not included in statistical analysis.
Analysis of 57460C>T polymorphism in the IFRD1 gene
The pcR reaction for amplification of the 547 bp fragment of the IFRD1 gene was performed with bidistilled water, 10x Taq buffer with (NH4)2SO4, MgCl2 (25 mM), dNTP (25 mM each nitrogenous base), primers (0.2 pmol - sense primer: 5'-AGATAAGAGAGCAGATGTT-3' and antisense primer: 5'-GCTGTCTTCATAAATAAAT-3'), Taq polymerase (5U) and genomic DNA (50 ng/mL). The annealing temperature was 62°C.
After pcR, enzymatic digestion was made with the BstNI enzyme (New England BioLabs) at 60°C for 14 hours following the manufacturer's recommendations. The reaction was analyzed on polyacrylamide gel (12%) with a voltage of 180V for 4 hours. The gel was stained in ethidium bromide solution and visualized on the Typhoon™ scanner (GE Healthcare, Pittsburgh, USA). According to fragments observed the genotype was identified, as follows: TT (444 + 113 bp), TC (444 + 326 + 118 + 103 bp) and CC (326 + 118 + 103 bp).
Statistical analysis was performed by Statistical Package for Social Sciences (SPSS) software v.21.0 (IBM Corp. Released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.), OpenEpi  and R version 2.12 (Comprehensive R Archive Network, 2011). The statistical power calculation for the sample was performed by GPower 3.1 software  demonstrating statistical power above 80% for the analysis.
The data were compared using the χ2 and Fisher exact test for categorical variables and the Mann-Whitney and Kruskal-Wallis tests for numerical variables.
We adopted the values of <alpha> 0.05 for all statistical analysis.
The data distribution that showed high standard deviation was analyzed by median value. The variables that were adjusted by median to short (more severe) and longtime were: patient's age (= 154 and > 154 months), time for the diagnosis = 24 and > 24 months), onset of the pulmonary (= 6 and > 6 months) and digestive symptoms (= 3 and > 3 months), and time for the first isolated P. aeruginosa (= 3 and > 3 months).
In order to avoid spurious data due to the multiple tests , the significance level α was adjusted by Bonferroni correction (αcorrected = 0.05/number of tests).
The description of the population examined in the study is shown in the table 1 for all clinical variables included in the study.
BMI = Body Mass Index; SpO2 = transcutaneous hemoglobin oxygen saturation; FVC = Forced Vital Capacity; FEV1 = Forced Expiratory Volume in the first second; FEF25-75 = Forced Expiratory Flow between 25 and 75% of FVC. 1. Based on 3 Consecutive positive respiratory cultures.
# Percentage (Number of patients)
*Continuous variables expressed as mean ± SD (range)
Table 1: Clinical features of Cystic Fibrosis patients included in the study.
The genotypic frequency of CFTR mutations and polymorphisms are described in the table 2. The analyzed polymorphism is in Hardy- Weinberg equilibrium.
IFRD1 = Interferon-Related Developmental Regulator 1; CFTR = Cystic fibrosis transmembrane conductance regulator; C = Cytosine; T = Thymine; ≥ = bigger than; MAF = minor allele frequency; *p = value for Hardy-Weinberg Equilibrium; N = number of patients; (-) CFTR mutation no identified. 1= IFRD1, rs7817 polymorphism is in
Hardy-Weinberg Equilibrium in our sample.
Table 2: Genotypic characteristic of IFRD1 polymorphism and CFTR mutation among Cystic Fibrosis patients.
The table 3 shows the p-values, corrected and uncorrected, reported for all analyzes performed, considering all patients included in the study, and patients with two CFTR mutations identified.
IFRD1 = Interferon-Related Developmental Regulator 1; CFTR = Cystic Fibrosis Transmembrane Conductance Regulator; BMI = Body Mass Index; SpO2 = transcutaneous hemoglobin oxygen saturation; FVC - Forced Vital Capacity; FEV1 - Forced Expiratory Volume in the first second; FEF25-75 - forced expiratory flow between 25 and 75% of
FVC. p = p-value to statistical tests. pc = p-value to statistical tests corrected by Bonferroni test. 'The positive p-value is in bold. 1. Categorical variables - χ2 test was used.
2. Numerical variables - One-way analysis of variance test was used.
Table 3: Clinical association of cystic fibrosis variables with IFRD1 polymorphism (rs7817) and CFTR mutation.
The tables 4-6 shows the categorical variables and in the table 7, the numerical variables, regardless of the CFTR mutations and considering the distribution for the CFTR gene according to the presence of two mutations identified belonging to class I, II and III. Categorical variables are described in absolute frequency and numerical by mean, standard deviation, minimum and maximum value, and confidence interval. In the tables 4-7, p-corrected values are presented.
IFRD1 = Interferon-Related Developmental Regulator 1; CFTR = Cystic Fibrosis Transmembrane Conductance Regulator; pc = p-value to statistical tests corrected by Bonferroni test; ≤ = minor than; > = bigger than; C = Cytosine; T = Thymine; 0 = thinness and accentuated thinness; 1 = overweight/obesity and eutrophy.
Table 4: Association between IFRD1 polymorphism with clinical variables: sex, race, age, first clinical manifestation, time for diagnosis, time for the first digestive and pulmonary clinical manifestation and body mass index.
IFRD1 = Interferon-Related Developmental Regulator 1; CFTR = Cystic Fibrosis Transmembrane Conductance Regulator; pc = p-value to statistical tests corrected by Bonferroni test; C = Cytosine; T = Thymine.
Table 5: Association between IFRD1 polymorphism with comorbidities: nasal polyposis, diabetes mellitus, osteoporosis, pancreatic insufficiency and meconium ileus.
IFRD1 = Interferon-Related Developmental Regulator 1; CFTR = Cystic Fibrosis Transmembrane Conductance Regulator; pc = p-value to statistical tests corrected by
Bonferroni test; C = Cytosine; T = Thymine; ≤ = minor than; > = bigger than; MPA = mucoid P. aeruginosa; NMPA = non-mucoid P. aeruginosa; AX = Achromobacter xylosoxidans; BC = Burkholderia cepacia; SA = Staphylococcus aureus.
Table 6: Association between IFRD1 polymorphism with bacteria on sputum.
IFRD1 = Interferon-Related Developmental Regulator 1; CFTR = Cystic Fibrosis Transmembrane Conductance Regulator; pc = p-value to statistical tests corrected by Bonferroni test; C = Cytosine; T = Thymine; N = number of patients; min = minimum; max = maximum; std = standard; SpO2 = Transcutaneous oxygen saturation; FVC =
forced vital capacity; FEV1 = forced expiratory volume in the first second; FEF25-75 = forced expiratory flow between 25 and 75% of FVC.
Table 7: Association between IFRD1 polymorphism with clinical variables with numerical distribution: lung function and clinical scores.
The evolution of CF as a disease is the result of the interaction between genotype and environment. Few studies have correlated CFTR mutations, modifier genes and clinical variables in CF [2,6,7,26], a fact associated with the difficulty in obtaining: (i) sample size, (ii) patients with homogeneous treatment, and (iii) to characterize the follow-up of pulmonary disease.
The principal environmental factor for the clinical variability of CF is the treatment access. In our referral center, treatment is warranted for the public health system, which allows equal access for all patients included in the study, and no concerns as an additional factor in the statistical analyzes.
The IFRD1 protein expression is not restricted to neutrophils, but may also occur in epithelial cells in organs that compose the airways acting in the inflammatory process, having an important role in the pulmonary disease . However, few studies have compared the expression and regulation of IFRD1 in different cellular types in order to understand the complex development of lung disease, hence, more studies are needed [17,18,27,28].
Two polymorphisms (rs11771128 and rs4727770) in the IFRD1 gene were associated with CF modulation . Heterozygous patients for the polymorphism had higher levels of IFRD1 in neutrophils from the bloodstream, compared to homozygotes. However, it is still unclear how the differential expression influences and governs the defense system is still unclear.
The neutrophil regulation is important in the inflammatory process, which is the basis of the pathophysiology of the CF pulmonary manifestations, thus the role of the IFRD1 protein can have influence on the CF severity . In this sense, the analysis by array for 320 CF patients divided into two groups according to clinical severity showed that IFRD1 polymorphisms could function as modulators of clinical severity .
In our study, we did not find this association, even considering the 23 variables of clinical severity. We expected that CF patients would show lower expression of the IFRD1 protein and that the results would have association with clinical variables, especially those associated with pulmonary disease. Our results differ from those of previous studies possibly because earlier studies (i) considered homogeneous populations, (ii) used fewer clinical markers, (iii) did not consider IFRD1 polymorphisms, but rather only the amount of IFRD1 protein, (iv) evaluated fewer patients.
We found that in our sample of CF patients, there was no association of the polymorphism 57460C in the IFRD1 gene with the disease severity. Studies considering the analysis of other polymorphisms within the same gene or other genes, as modifier gene, must be considered. However, it is still necessary to study polymorphisms achieve a better understanding of the dynamics of the clinical manifestations and clinical variability of the disease, even in individuals with the identical CFTR genotype.
The authors declare that they have no competing interests.
Luciana Cardoso Bonadia, Taís Daiene Russo Hortêncio, Kátia Cristina Alberto Aguiar, Aline Gonçalves, Carlos Emilio Levy, Maria de Fátima Servidoni and Simoni Avansini – assistance in data collection and organization of ideas. Maria Angela Ribeiro and Staff of LAFIP – (Laboratorio de Fisiologia Pulmonar) for spirometry analysis. To Fapesp: provide assistance to search. To www. laboratoriomultiussuario.com.br: to possibility the genetic analysis.
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