# NRAMP1 and VDR Gene Polymorphisms in Susceptibility to Tuberculosis in Venezuelan Population

Authors: Mercedes Fernández-Mestre; Ángel Villasmil; Howard Takiff; Zhenia Fuentes Alcalá
Journal: Disease Markers
 (2015)

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## Abstract

Natural resistance-associated macrophage protein (Nramp1) and the vitamin D receptor (VDR) are central components of the innate and adaptive immunity againstMycobacterium tuberculosis, and associations between susceptibility to tuberculosis and polymorphisms in the genes NRAMP and VDR have been sought in geographically diverse populations. We investigated associations of NRAMP1 and VDR gene polymorphisms with susceptibility to TB in the Venezuelan population. The results suggest the absence of any association between VDR variants FokI, ApaI, and TaqI and susceptibility to tuberculosis. In contrast, the NRAMP1 3′UTR variants were associated with susceptibility to M. tuberculosis infection, as seen in the comparisons between TST+ and TST− controls, and also with progression to TB disease, as shown in the comparisons between TB patients and TST+ controls. This study confirms the previously described association of the NRAMP1 3′UTR polymorphism with M. tuberculosis infection and disease progression.


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## Body

## 1. Introduction

Tuberculosis (TB) is the second cause of death worldwide among infectious diseases. In the World Health Organization (WHO) Global Tuberculosis Report for 2014 there were 9.0 million new TB cases in 2013 and 1.5 million TB deaths (1.1 million among HIV negative and 0.4 million among HIV positive), of which 218,875 new cases and relapses occurred in the Americas. In Venezuela, according to the WHO, the incidence of new and relapse TB cases is between 20 and 49 per 100,000 inhabitants [1]. The number of subjects infected withMycobacterium tuberculosis (Mtb) is much higher, but the great majority of those infected are able to keep the pathogen under control and never develop the disease. Multiple evidence suggests that there is a genetic component involved in determining resistance or susceptibility to TB patients, who are infected but do not develop the disease and who developed the disease, but it is difficult to conduct genetic studies on susceptibility to infectious diseases because of the multifactorial influences of the host, the pathogen, and environmental variables that differ for each disease and even each individual studied. The association of host genetic factors with susceptibility or resistance to TB has been studied extensively using various methods including case-control studies, candidate gene approaches, and family-based and genome-wide linkage analyses that have revealed several candidate genes involved in susceptibility (reviewed in [2]). These studies have been performed in different ethnic groups, with large discrepancies between groups regarding the effect of the different candidate genes. Two of the genes that have shown the most robust associations areNRAMP1 andVDR.In this study we investigated associations ofNRAMP1 andVDR gene polymorphisms with susceptibility to TB in the Venezuelan population.


## 2. Material and Methods

### 2.1. Subjects

The study included one hundred and ninety-five (195) unrelated and ethnically mixed Venezuelan individuals from the northern region of country, divided into two cohorts, patients and controls.Patients. The ninety-three individuals all had a clinical diagnosis of pulmonary tuberculosis and were seen by the Pneumology Service of the Hospital José Ignacio Baldó,Algodonal, Caracas. There were 52 men (56%) and 41 women (44%), with an age range of 17–70 years. Patients were selected based on the diagnostic criteria of the National Standard Integrated Venezuela Tuberculosis Control Program: two sputum smears positive for acid fast bacilli by microscopy, clinical symptoms characteristic of TB, and a chest X ray consistent with active TB disease.Controls. There were one hundred and two apparently healthy individuals who were known to be exposed to patients with active TB. This group was composed of staff members who had worked at Hospital Dr. José Ignacio Baldó, Algodonal, Caracas, for more than 3 years, and included 25 men (24.5%) and 77 women (75.5%) whose age range was 20–67 years. The controls were classified according to the tuberculin skin test “TST” as follows: positive TST (51/102), negative TST (19/102), or without information (32/102). All controls were without clinical manifestations of TB at the time of blood sampling.Individuals, who were HIV positive or known to have any autoimmune, chronic inflammatory, or other disease, were excluded from the study. Participants in the study signed an informed consent form previously approved by the IVIC Bioethics Committee.


### 2.2.NRAMP1 andVDR Genotype Analysis

Genomic DNA was extracted from blood samples according to the procedure described by Bunce [3]. The polymorphic variants of theNRAMP1 gene were studied by PCR-RFLP technique, using primers and restriction enzymes reported by Taype et al., 2006 [4]:INT4 (469 + 14G/C),D543 (codon 543, Arg→Asp), and3′UTR (deletion of TGTG in the 3′UTR, 55 nt 3′ to the last codon in exon 15). The polymorphic variants of theVDR gene were studied by PCR-RFLP, using primers and restriction enzymes reported by Curran et al., 1999 [5]: FokI, ApaI, and TaqI.


### 2.3. Statistical Analysis

Allele and genotype frequencies were determined by direct counting. The Hardy-Weinberg equilibrium was calculated with the exact test. The statistical significance of allele frequency differences between patients and controls was estimated by Fisher’s exact test using2×2 contingency tables. The Bonferroni corrected p values (pc) were obtained by multiplying the p values by the total number of variables analyzed and were considered significant when p<0.05 [6]. Relative risk with corresponding 95% confidence intervals (95% CI) was calculated as odds ratios (OR) according to Woolf’s formula [7].


## 2.1. Subjects

The study included one hundred and ninety-five (195) unrelated and ethnically mixed Venezuelan individuals from the northern region of country, divided into two cohorts, patients and controls.Patients. The ninety-three individuals all had a clinical diagnosis of pulmonary tuberculosis and were seen by the Pneumology Service of the Hospital José Ignacio Baldó,Algodonal, Caracas. There were 52 men (56%) and 41 women (44%), with an age range of 17–70 years. Patients were selected based on the diagnostic criteria of the National Standard Integrated Venezuela Tuberculosis Control Program: two sputum smears positive for acid fast bacilli by microscopy, clinical symptoms characteristic of TB, and a chest X ray consistent with active TB disease.Controls. There were one hundred and two apparently healthy individuals who were known to be exposed to patients with active TB. This group was composed of staff members who had worked at Hospital Dr. José Ignacio Baldó, Algodonal, Caracas, for more than 3 years, and included 25 men (24.5%) and 77 women (75.5%) whose age range was 20–67 years. The controls were classified according to the tuberculin skin test “TST” as follows: positive TST (51/102), negative TST (19/102), or without information (32/102). All controls were without clinical manifestations of TB at the time of blood sampling.Individuals, who were HIV positive or known to have any autoimmune, chronic inflammatory, or other disease, were excluded from the study. Participants in the study signed an informed consent form previously approved by the IVIC Bioethics Committee.


## 2.2.NRAMP1 andVDR Genotype Analysis

Genomic DNA was extracted from blood samples according to the procedure described by Bunce [3]. The polymorphic variants of theNRAMP1 gene were studied by PCR-RFLP technique, using primers and restriction enzymes reported by Taype et al., 2006 [4]:INT4 (469 + 14G/C),D543 (codon 543, Arg→Asp), and3′UTR (deletion of TGTG in the 3′UTR, 55 nt 3′ to the last codon in exon 15). The polymorphic variants of theVDR gene were studied by PCR-RFLP, using primers and restriction enzymes reported by Curran et al., 1999 [5]: FokI, ApaI, and TaqI.


## 2.3. Statistical Analysis

Allele and genotype frequencies were determined by direct counting. The Hardy-Weinberg equilibrium was calculated with the exact test. The statistical significance of allele frequency differences between patients and controls was estimated by Fisher’s exact test using2×2 contingency tables. The Bonferroni corrected p values (pc) were obtained by multiplying the p values by the total number of variables analyzed and were considered significant when p<0.05 [6]. Relative risk with corresponding 95% confidence intervals (95% CI) was calculated as odds ratios (OR) according to Woolf’s formula [7].


## 3. Results

### 3.1. Frequency ofNRAMP1 Polymorphisms in Patients with Tuberculosis and Controls

Table1 shows the frequencies ofNRAMPgenotypes and alleles in controls and TB patients. The allelic and genotypic frequencies of theNRAMP1 polymorphisms showed Hardy-Weinberg equilibrium forINT4 (p=0.832),D543 (p=0.296), and3′UTR (p=0.594) polymorphisms in the control cohort. There was a significantly increased frequency of homozygous3′UTR TGTG+/+ genotype in the healthy controls compared to the TB patients (79% versus 64%, resp., OR = 0.4, 95% CI: 0.2478–0.9045, p=0.01, pc = 0.03). However, the frequency of the heterozygous3′UTR SNP TGTG+/del (32.6% versus 21%, resp., OR = 1.8, 95% CI: 0.9452–3.4976, p=0.03) and homozygous3′UTR SNP del/del genotypes (3.4% versus 0%, resp., OR = 8.13, 95% CI: 0.4143–159.6275, p=0.02) was higher in the patient group than in the control group, although the corrected p values (pc) were not significant. In addition, there was a significant difference in the distribution of the allele frequencies (TGTG+ and TGTG del) between the controls and the TB patients (pc = 0.018). There was no significant association betweenINT4 andD543 genotypes with tuberculosis.Table 1
Genotype and allele frequency distribution ofNRAMP1 gene in the controls and TB patients.
INT4
CC
GC
GG
Total
Genotypes
Controls  (number of individuals)
14
45
39
98
% of total
7.49
24.06
20.86
52.41
% within condition
14.29
45.92
39.80
% withinINT4
60.87
56.25
46.43
TB patients (number of individuals)
9
35
45
89
% of total
4.81
18.72
24.06
47.59
% within condition
10.11
39.33
50.56
% withinINT4
39.13
43.75
53.75
Total
23
80
84
187
% of total
12.30
42.78
44.92
100
χ
2
(df: 2) = 2.34   p=0.3107   Cramer’s V=0.1118
D543
AA
AG
GG
Total
Genotypes
Controls (number of individuals)
1
10
89
100
% of total
0.52
5.21
46.35
52.08
% within condition
1
10
89
% withinD543
25
55.56
52.35
TB patients (number of individuals)
3
8
81
92
% of total
1.56
4.17
42.19
47.92
% within condition
3.3
8.7
88
% withinD543
75
44.44
47.65
Total
4
18
170
192
% of total
2.08
9.38
88.54
100
χ
2 (df: 2) = 1.27   p=0.529   Cramer’s V=0.0813
3'UTR
TGTGdel/del
TGTG+/del
TGTG+/+
Total
Genotypes
Controls (number of individuals)
0
21
79
100
% of total
0.00
11.11
41.80
52.91
% within condition
0.00
21.00
79.00
% within3'UTR
0.00
42.00
58.09
TB patients (number of individuals)
3
29
57
89
% of total
1.59
15.34
30.16
47.09
% within condition
3.37
32.58
64.04
% within3'UTR
100.00
58.00
41.91
Total
3
50
136
189
% of total
71.96
26.46
1.59
100
χ
2 (df: 2) = 7.22   p=0.0270   Cramer’s V=0.1955
Note. p: probability  values;  + = presence of TGTG; del = absence of these four bases;  df: degree freedom;  Cramer’s V:  measure of association between two variables.


### 3.2. Frequency of theVDR Polymorphism in Patients with Tuberculosis and Controls

Table2 shows the frequencies ofVDR genotypes and alleles in controls and TB patients. There was Hardy-Weinberg equilibrium for the genotype distributions ofFokI (p=0.074),TaqI (p=0.066), andApaI (p=0.545) polymorphisms in apparently healthy individuals. The data showed that the frequency of the FF SNP genotype ofFokI was higher in the patients than in the control group (36.6% versus 25.5%, resp., OR = 1.7, 95% CI: 0.9120–3.1109, p=0.04) although the corrected p value was not significant. No significant difference in the allele frequencies was observed between the TB patients and the controls.Table 2
Genotype and allele frequency distribution ofVDR gene in the controls and TB patients.
Fok1
ff
Ff
FF
Total
Genotypes
Controls (number of individuals)
16
60
26
102
% of total
8.2
30.8
13.3
52.3
% within condition
15.7
58.8
25.5
% withinFok1
57.1
56.1
43.3
TB patients (number of individuals)
12
47
34
93
% of total
6.2
24.1
17.4
47.7
% within condition
12.9
50.5
36.6
% withinFok1
42.9
43.9
56.7
Total
28
107
60
195
% of total
14.4
54.9
30.7
100
χ
2 (df: 2) = 2.81   p=0.2454   Cramer’s V=0.12
Taq1
tt
Tt
TT
Total
Genotypes
Controls (number of individuals)
1
38
58
97
% of total
0.5
20.8
31.7
53
% within condition
1
39.2
59.8
% withinTaq1
33.3
53.5
53.2
TB patients (number of individuals)
2
33
51
86
% of total
1.1
18
27.9
47
% within condition
2.3
38.4
59.3
% withinTaq1
66.7
46.5
46.8
Total
3
71
109
183
% of total
1.6
38.8
59.6
100
χ
2 (df: 2) = 0.48   p=0.7866   Cramer’s V=0.0512
Apa1
aa
Aa
AA
Total
Genotypes
Controls (number of individuals)
18
54
29
101
% of total
9.5
28.4
15.3
53.2
% within condition
17.8
53.5
28.7
% withinApa1
47.4
56.3
51.8
TB patients (number of individuals)
20
42
27
89
% of total
10.5
22.1
14.2
46.8
% within condition
22.5
47.2
30.3
% withinApa1
66.7
46.5
46.8
Total
38
96
56
190
% of total
20
50.5
29.5
100
χ
2 (df: 2) = 0.92   p=0.6313   Cramer’s V=0.0696
Note. p: probability  values;  df: degree freedom;  Cramer’s V:  measure of association between two variables.


### 3.3. Genotype and Allele Distribution ofNRAMP-3′UTR Variants in Patients with Tuberculosis and Healthy Controls Classified by the Tuberculin Skin Test (TST)

In order to investigate the possible influence ofNRAMP1-3′UTR variants in the development of tuberculosis, we compared the genotype and allele frequencies between the different groups: TB patients versus TST positive controls, TB patients versus TST negative controls, and TST positive controls versus TST negative controls (Table 3). There were statistically significant differences between TB patients and TST negative controls for TGTG+/+ (64 versus 94.7%, OR: 0.1, 95% CI: 0.0126–0.7760, p=0.004, pc=0.012) and TGTG+/del genotypes (32.6 versus 5.3%, OR: 8.7, 95% CI: 1.1069–68.3801, p=0.008, pc=0.016). These same differences were conserved when the comparison was made between TST positive controls versus TST negative controls, although the significance was lost with the correction of p values. Additionally, there was a significant increase in the frequency of the TGTGdel allele among TB patients (OR: 9.0, 95% CI: 1.2010–68.2837, p=0.005, pc=0.010) and TST positive controls (OR: 5.0, 95% CI: 0.6330–40.2130, p=0.046, pc = not significant) compared to TST negative controls.Table 3
Genotype and allele frequency distribution ofNRAMP-3′UTRin TB patients and healthy controls grouped according to the TST.
3′UTR
TGTGdel/del
TGTG+/del
TGTG+/+
Total
Genotypes
Controls TST+ (number of individuals)
0
12
38
50
% of total
0.00
8.6
27.3
36
% within condition
0.00
24.00
76.00
% within3'UTR
0.00
29.3
40
TB patients (number of individuals)
3
29
57
89
% of total
2.2
20.9
41
64
% within condition
3.4
32.6
64
% within3'UTR
100.00
70.7
60
Total
3
41
95
139
% of total
2.2
29.5
68.3
100
χ
2 (df: 2) = 3.15   p=0.207   Cramer’s V=0.1505
3′UTR
TGTGdel/del
TGTG+/del
TGTG+/+
Total
Genotypes
Controls TST− (number of individuals)
0
1
18
19
% of total
0.00
0.9
16.7
17.6
% within condition
0.00
5.3
94.7
% within3'UTR
0.00
3.3
24
TB patients (number of individuals)
3
29
57
89
% of total
2.8
26.9
52.8
82.4
% within condition
3.4
32.6
64
% within3'UTR
100.00
96.7
76
Total
3
30
75
108
% of total
2.8
27.8
69.4
100
χ
2 (df: 2) = 6.97   p=0.0307   Cramer’s V=0.254
3′UTR
TGTGdel/del
TGTG+/del
TGTG+/+
Total
Genotypes
Controls TST− (number of individuals)
0
1
18
19
% of total
0.00
1.4
26.1
27.5
% within condition
0.00
5.3
94.7
% within3'UTR
0.00
7.7
32.1
Controls TST+ (number of individuals)
0
12
38
50
% of total
0.00
17.4
55.1
72.5
% within condition
0.00
24.00
76.00
% within3'UTR
0.00
92.3
67.9
Total
0
13
56
69
% of total
0
18.8
81.2
100
χ
2 (df: 2) = 3.16   p=0.206   Cramer’s V=0.214
Note. p: probability  values;  df: degree freedom;  Cramer’s V:  measure of association between two variables.


## 3.1. Frequency ofNRAMP1 Polymorphisms in Patients with Tuberculosis and Controls

Table1 shows the frequencies ofNRAMPgenotypes and alleles in controls and TB patients. The allelic and genotypic frequencies of theNRAMP1 polymorphisms showed Hardy-Weinberg equilibrium forINT4 (p=0.832),D543 (p=0.296), and3′UTR (p=0.594) polymorphisms in the control cohort. There was a significantly increased frequency of homozygous3′UTR TGTG+/+ genotype in the healthy controls compared to the TB patients (79% versus 64%, resp., OR = 0.4, 95% CI: 0.2478–0.9045, p=0.01, pc = 0.03). However, the frequency of the heterozygous3′UTR SNP TGTG+/del (32.6% versus 21%, resp., OR = 1.8, 95% CI: 0.9452–3.4976, p=0.03) and homozygous3′UTR SNP del/del genotypes (3.4% versus 0%, resp., OR = 8.13, 95% CI: 0.4143–159.6275, p=0.02) was higher in the patient group than in the control group, although the corrected p values (pc) were not significant. In addition, there was a significant difference in the distribution of the allele frequencies (TGTG+ and TGTG del) between the controls and the TB patients (pc = 0.018). There was no significant association betweenINT4 andD543 genotypes with tuberculosis.Table 1
Genotype and allele frequency distribution ofNRAMP1 gene in the controls and TB patients.
INT4
CC
GC
GG
Total
Genotypes
Controls  (number of individuals)
14
45
39
98
% of total
7.49
24.06
20.86
52.41
% within condition
14.29
45.92
39.80
% withinINT4
60.87
56.25
46.43
TB patients (number of individuals)
9
35
45
89
% of total
4.81
18.72
24.06
47.59
% within condition
10.11
39.33
50.56
% withinINT4
39.13
43.75
53.75
Total
23
80
84
187
% of total
12.30
42.78
44.92
100
χ
2
(df: 2) = 2.34   p=0.3107   Cramer’s V=0.1118
D543
AA
AG
GG
Total
Genotypes
Controls (number of individuals)
1
10
89
100
% of total
0.52
5.21
46.35
52.08
% within condition
1
10
89
% withinD543
25
55.56
52.35
TB patients (number of individuals)
3
8
81
92
% of total
1.56
4.17
42.19
47.92
% within condition
3.3
8.7
88
% withinD543
75
44.44
47.65
Total
4
18
170
192
% of total
2.08
9.38
88.54
100
χ
2 (df: 2) = 1.27   p=0.529   Cramer’s V=0.0813
3'UTR
TGTGdel/del
TGTG+/del
TGTG+/+
Total
Genotypes
Controls (number of individuals)
0
21
79
100
% of total
0.00
11.11
41.80
52.91
% within condition
0.00
21.00
79.00
% within3'UTR
0.00
42.00
58.09
TB patients (number of individuals)
3
29
57
89
% of total
1.59
15.34
30.16
47.09
% within condition
3.37
32.58
64.04
% within3'UTR
100.00
58.00
41.91
Total
3
50
136
189
% of total
71.96
26.46
1.59
100
χ
2 (df: 2) = 7.22   p=0.0270   Cramer’s V=0.1955
Note. p: probability  values;  + = presence of TGTG; del = absence of these four bases;  df: degree freedom;  Cramer’s V:  measure of association between two variables.


## 3.2. Frequency of theVDR Polymorphism in Patients with Tuberculosis and Controls

Table2 shows the frequencies ofVDR genotypes and alleles in controls and TB patients. There was Hardy-Weinberg equilibrium for the genotype distributions ofFokI (p=0.074),TaqI (p=0.066), andApaI (p=0.545) polymorphisms in apparently healthy individuals. The data showed that the frequency of the FF SNP genotype ofFokI was higher in the patients than in the control group (36.6% versus 25.5%, resp., OR = 1.7, 95% CI: 0.9120–3.1109, p=0.04) although the corrected p value was not significant. No significant difference in the allele frequencies was observed between the TB patients and the controls.Table 2
Genotype and allele frequency distribution ofVDR gene in the controls and TB patients.
Fok1
ff
Ff
FF
Total
Genotypes
Controls (number of individuals)
16
60
26
102
% of total
8.2
30.8
13.3
52.3
% within condition
15.7
58.8
25.5
% withinFok1
57.1
56.1
43.3
TB patients (number of individuals)
12
47
34
93
% of total
6.2
24.1
17.4
47.7
% within condition
12.9
50.5
36.6
% withinFok1
42.9
43.9
56.7
Total
28
107
60
195
% of total
14.4
54.9
30.7
100
χ
2 (df: 2) = 2.81   p=0.2454   Cramer’s V=0.12
Taq1
tt
Tt
TT
Total
Genotypes
Controls (number of individuals)
1
38
58
97
% of total
0.5
20.8
31.7
53
% within condition
1
39.2
59.8
% withinTaq1
33.3
53.5
53.2
TB patients (number of individuals)
2
33
51
86
% of total
1.1
18
27.9
47
% within condition
2.3
38.4
59.3
% withinTaq1
66.7
46.5
46.8
Total
3
71
109
183
% of total
1.6
38.8
59.6
100
χ
2 (df: 2) = 0.48   p=0.7866   Cramer’s V=0.0512
Apa1
aa
Aa
AA
Total
Genotypes
Controls (number of individuals)
18
54
29
101
% of total
9.5
28.4
15.3
53.2
% within condition
17.8
53.5
28.7
% withinApa1
47.4
56.3
51.8
TB patients (number of individuals)
20
42
27
89
% of total
10.5
22.1
14.2
46.8
% within condition
22.5
47.2
30.3
% withinApa1
66.7
46.5
46.8
Total
38
96
56
190
% of total
20
50.5
29.5
100
χ
2 (df: 2) = 0.92   p=0.6313   Cramer’s V=0.0696
Note. p: probability  values;  df: degree freedom;  Cramer’s V:  measure of association between two variables.


## 3.3. Genotype and Allele Distribution ofNRAMP-3′UTR Variants in Patients with Tuberculosis and Healthy Controls Classified by the Tuberculin Skin Test (TST)

In order to investigate the possible influence ofNRAMP1-3′UTR variants in the development of tuberculosis, we compared the genotype and allele frequencies between the different groups: TB patients versus TST positive controls, TB patients versus TST negative controls, and TST positive controls versus TST negative controls (Table 3). There were statistically significant differences between TB patients and TST negative controls for TGTG+/+ (64 versus 94.7%, OR: 0.1, 95% CI: 0.0126–0.7760, p=0.004, pc=0.012) and TGTG+/del genotypes (32.6 versus 5.3%, OR: 8.7, 95% CI: 1.1069–68.3801, p=0.008, pc=0.016). These same differences were conserved when the comparison was made between TST positive controls versus TST negative controls, although the significance was lost with the correction of p values. Additionally, there was a significant increase in the frequency of the TGTGdel allele among TB patients (OR: 9.0, 95% CI: 1.2010–68.2837, p=0.005, pc=0.010) and TST positive controls (OR: 5.0, 95% CI: 0.6330–40.2130, p=0.046, pc = not significant) compared to TST negative controls.Table 3
Genotype and allele frequency distribution ofNRAMP-3′UTRin TB patients and healthy controls grouped according to the TST.
3′UTR
TGTGdel/del
TGTG+/del
TGTG+/+
Total
Genotypes
Controls TST+ (number of individuals)
0
12
38
50
% of total
0.00
8.6
27.3
36
% within condition
0.00
24.00
76.00
% within3'UTR
0.00
29.3
40
TB patients (number of individuals)
3
29
57
89
% of total
2.2
20.9
41
64
% within condition
3.4
32.6
64
% within3'UTR
100.00
70.7
60
Total
3
41
95
139
% of total
2.2
29.5
68.3
100
χ
2 (df: 2) = 3.15   p=0.207   Cramer’s V=0.1505
3′UTR
TGTGdel/del
TGTG+/del
TGTG+/+
Total
Genotypes
Controls TST− (number of individuals)
0
1
18
19
% of total
0.00
0.9
16.7
17.6
% within condition
0.00
5.3
94.7
% within3'UTR
0.00
3.3
24
TB patients (number of individuals)
3
29
57
89
% of total
2.8
26.9
52.8
82.4
% within condition
3.4
32.6
64
% within3'UTR
100.00
96.7
76
Total
3
30
75
108
% of total
2.8
27.8
69.4
100
χ
2 (df: 2) = 6.97   p=0.0307   Cramer’s V=0.254
3′UTR
TGTGdel/del
TGTG+/del
TGTG+/+
Total
Genotypes
Controls TST− (number of individuals)
0
1
18
19
% of total
0.00
1.4
26.1
27.5
% within condition
0.00
5.3
94.7
% within3'UTR
0.00
7.7
32.1
Controls TST+ (number of individuals)
0
12
38
50
% of total
0.00
17.4
55.1
72.5
% within condition
0.00
24.00
76.00
% within3'UTR
0.00
92.3
67.9
Total
0
13
56
69
% of total
0
18.8
81.2
100
χ
2 (df: 2) = 3.16   p=0.206   Cramer’s V=0.214
Note. p: probability  values;  df: degree freedom;  Cramer’s V:  measure of association between two variables.


## 4. Discussion

The aim of the present study was to look for associations between polymorphisms inVDR andNRAMP1 genes and susceptibility to infection and disease withMycobacterium tuberculosis, as indicated by a positive TST, and the development of TB in the Venezuelan population. Vitamin D is an immune-modulator molecule that, via its receptor VDR, can modulate cytokine responses by T cells [8]. Although several publications have reported an association between theVDR polymorphisms and tuberculosis in different populations [8–26], our study, similar to others [27–31], did not observe a significant association between theApaI,TaqI, orFokI variants and susceptibility to either infection or development of tuberculosis.Nramp1 (natural resistance-associated macrophage protein) is an integral membrane protein expressed exclusively in the lysosomal compartment of monocytes and macrophages. After phagocytosis, Nramp1 is targeted to the membrane of the microbe-containing phagosome, where it may modify the intraphagosomal milieu to affect microbial replication [32]. Some polymorphisms in theNRAMP1 gene appear to favor bacterial replication within macrophages and have been associated not only with increased susceptibility to infection byMycobacterium tuberculosis but also with an increased tendency to develop severe disease [33–35].However, different studies have found conflicting results. There was a positive association between theNRAMP1 gene3′UTR polymorphism and susceptibility to tuberculosis in West Africans [36], Koreans [37], Chinese Han [23], and Chinese Kazak populations [38], but there was no association found in Taiwanese [39], Thai [40], Moroccan [41], Danish [42], Brazilian [43], and Indonesian [44] populations, and it was associated with resistance to TB in Cambodians [31]. The results presented here found that, in the Venezuelan population, the 3′UTR variants were associated with susceptibility toM. tuberculosis infection, as seen in the comparisons between TST+ and TST− controls, and also with progression to TB disease, as shown in the comparisons between TB patients and TST+ controls.The3′UTR polymorphism consists of a 4 bp TGTG deletion located 55 nucleotides downstream the last codon in exon 15 of theNRAMP1 gene, in a region where sequence variation can affect mRNA stability and/or efficiency of protein translation. Therefore, to explain the increased susceptibility promoted by the TGTG+/del genotype and TGTGdel allele, two essential aspects should be considered: (1) the protein encoded by theNRAMP1 gene plays an important role in the phagolysosomal function of pulmonary macrophages and in antigen presentation. The Nramp1 protein becomes activated and fused with lysosomes to digest the engulfed mycobacteria (reviewed in [45]); (2) Nramp1 pumps iron out of macrophages, thereby reducing iron levels within both the cytoplasm and the phagolysosome, rendering the metal less available for the iron-requiring intracellular bacilli [46]. As a consequence, a mutation or polymorphism in theNRAMP1 gene that results in a nonfunctional Nramp1 protein or decreases production of the protein could cause a reduction in Nramp1 function or even a complete absence of the protein. Decreased Nramp1 action could lead to increased bacterial availability of iron, thereby promoting mycobacterial replication within macrophages. Because the iron is also required by the cell to generate reactive oxygen and nitrogen intermediates, the loss of Fe2+ ion transporter function of Nramp1 protein could increase availability of iron for intramacrophage bacteria and simultaneously weaken antimicrobial activity, thus favoring infection withM. tuberculosis and progression to tuberculosis disease. Furthermore, although elevated iron may increase susceptibility to TB, it may also predispose an individual to greater morbidity after TB has developed due to its role in generating ROS caused oxidative stress, which is greater in active TB compared with historical TB or healthy controls (reviewed in [46]). In conclusion theNRAMP1 gene3′UTR polymorphism might play an important role in the host defense to the development of tuberculosis.



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*Source: 860628-2015-10-22.xml*