Association of TAP1 1177A>G and 2090A>G gene polymorphisms with latent tuberculosis infections in sheltered populations, in the metropolitan area of Guadalajara, Mexico: a pilot study

ABSTRACT

Latent tuberculosis infection (LTBI) is a condition that has no clinical signs and symptoms. LTBI patients are characterized by persistent immune responses to Mycobacterium tuberculosis, and approximately 5-10% of these infected individuals will develop active TB at some point in their lives. The antigen transporter associated with antigen processing (TAP1) is a protein involved in the transport of the antigen from the cytoplasm to the endoplasmic reticulum by means of the association with MHC class I molecules. It plays a fundamental role in the immune response, promoting the clearance of intracellular pathogens. Our pilot study aimed to determine the association between TAP1 gene 1177A>G (rs1057141) and 2090A>G (rs1135216) genetic polymorphisms with susceptibility to LTBI. In this case-control study, 153 individuals from shelters were analyzed (46 were LTBI-positive and 92 were controls). Genotyping of the rs11352216 (2090A>G) and rs1057141 (1177A>G) gene IDs was performed using the Applied Biosystems Step One Thermal Cycler Real-Time PCR allelic discrimination technology. The haplotypic analyses were performed with the Arlequin 3.5 program. Social assistance centers and shelters that serve vulnerable populations represent high-risk sites due to overcrowding and the impaired nutritional status of their residents. The G allele (OR=1.99, CI=1.109-3.587, p=0.021) and the GG genotype of rs11352216 (A>G) were associated with susceptibility to LTBI, according to the codominant genetic model (OR=8.32, CI=1.722-61.98, p=0.007). The rs1057141 (A>G) polymorphism was not associated with LTBI risk. The results suggest that carriers of the G allele of rs1135216 (A>G) are susceptible to LTBI.

Latent tuberculosis infection; Genetic susceptibility; Mycobacterium tuberculosis; TAP1

INTRODUCTION

Tuberculosis (TB) is a public health problem and a threat to human health worldwide, given that it is one of the global top ten causes of death. According to 2019 World Health Organization (WHO) estimates, 10 million people fell ill with TB, approximately 1.5 million died, and about three million were undiagnosed¹. In Mexico, there was an increase of 30,000 new cases of tuberculosis². Therefore, tuberculosis in Mexico continues to be a public health challenge, requiring redoubled efforts.

Individuals that are in continuous contact with patients with active TB appear to have a higher risk of latent tuberculosis infection (LTBI). LTBI is due to Mycobacterium tuberculosis (Mtb) and is a medical condition in which patients do not develop clinical signs or symptoms. It can also progress to active TB or persist for years in the host. In addition, these patients do not transmit the disease and are characterized by the presence of persistent immune responses to Mtb antigens³. About one-quarter of the world’s population is estimated to present with LTBI² and 5 to 10% of these individuals will progress to active TB⁴.

Several factors increase the risk of developing active TB, such as the overcrowded living conditions present in shelters and prisons, malnutrition, drug use, prolonged therapy with corticosteroids, and the occupational exposure of health workers, mainly in countries with a high incidence of TB and in developing countries⁵.

Moreover, individuals with diabetes have a 3-fold increase in the risk of developing active TB and individuals with the human immunodeficiency virus (HIV) infection have 16 to 27-fold higher risk¹,⁵.

Genetic association studies have reported that the presence of different polymorphisms in the VDR, IL12, IFNG, TAP1 and TAP2 genes generates susceptibility to mycobacterial infections⁶-⁸. The TAP1 rs1057141 and rs1135216 single nucleotide polymorphisms (SNPs) have been associated with susceptibility to active TB, but no studies have explored the association of these SNPs with LTBI⁷,⁸.

TAP1/TAP2 are proteins that form the transporter associated with the antigen processing (TAP) and they are encoded by the TAP1 and TAP2 genes located on chromosome 6 in the major histocompatibility complex (MHC) region⁹. TAP proteins play a fundamental role in the immune response to promote the clearance of intracellular pathogens, such as Mtb. Mtb has developed different virulence factors that allow it to evade lysosomal degradation within infected macrophages, and thus avoiding the MHC-II antigen presentation pathway¹⁰. That action leads to the release of bacterial antigens into the cytosol, and then the process continue following the ubiquitin-proteasome pathway¹¹. The antigenic peptides generated are transported to the lumen of the endoplasmic-reticulum by TAP1/TAP2 proteins for cross-presentation¹². Therefore, cross-presentation will be the last mechanism of the cellular response to eliminate the bacillus¹³.

The aim of the present pilot study was to investigate the possible association of the rs1057141 and rs1135216 genetic polymorphisms in the TAP1 gene with susceptibility to LTBI.

MATERIALS AND METHODS

Subjects and sample collection

The 153 study participants were recruited from shelters offering social assistance in metropolitan areas of Guadalajara, Mexico, during 2019. Fifteen of the 153 subjects were excluded because they did not fit the study criteria (comorbidities, such as HIV infection, diabetes mellitus, autoimmune diseases, and subjects with indeterminate QuantiFERON-TB Gold Plus - QFT-Plus results). Forty-six subjects were included and all of them were LTBI-positive. The control group was composed of 92 healthy subjects that had no known records of TB exposure, had a negative QFT-Plus test, and no clinical or radiological evidence of TB. Blood samples were drawn from LTBI cases and control subjects, in ethylene-diamine-tetra-acetic acid (EDTA) and lithium-heparin tubes, for DNA extraction and evaluation by the QFT-Plus test.

Ethical issues

The present study was reviewed and approved by the Ethical Investigation and Biosecurity Committee of the University Center of Health Sciences at the University of Guadalajara (approval CI-04218). The research was performed according to the Declaration of Helsinki and the Mexican regulations. Informed consent was signed by all the individuals.

LTBI evaluation

LTBI evaluation was performed through an interferon-gamma release assay (IGRA), using QFT-Plus (QIAGEN, Hilden, Germany) to measure responses to ESAT-6 and CFP-10 peptide antigens. Blood containing lithium-heparin as anticoagulant was transferred to the QFT-Plus tubes (Nil-tube, TB1-tube, TB2-tube, and Mitogen-tube). A test was considered positive when, of the four tubes (Nil, TB1, TB2, Mitogen), either the TB1-tube or the TB2-tube presented with a value higher than the Nil IFN-γ IU/mLone. Subjects were considered LTBI-positive if they had a positive QFT-Plus test with no clinical or radiological evidence of active TB disease¹⁴.

DNA extraction

Genomic DNA was extracted from peripheral blood leukocytes of the cases and controls, using the High-Pure PCR Template Preparation Kit (Roche Molecular Systems, Indianapolis, USA), as described elsewhere.

Polymorphisms

The identification of SNPs was carried out through Real-Time PCR using the allelic discrimination technology. The polymorphisms were identified by primers and Taqman^TM hydrolysis probes for each of the SNPs specific to the wild-type and the polymorphic forms, using TAP1 gene ID rs1135216 (2090A>G), Cat_#531909_20; TAP1 rs1057141 (1177A>G), Cat_#549926_20, (Applied Biosystems^TM, Foster City, USA), FastStart Essential DNA Probes Master (Roche Molecular Systems, Indianapolis, USA, catalog number 06402682001). The amplification reaction was performed in a StepOne^TM Thermal-Cycler (Applied Biosystems^TM, Foster City, USA).

Statistical analysis

The genotypic and allelic frequencies of the polymorphisms were determined by direct counting. The Hardy-Weinberg equilibrium in the controls was determined using the chi-square test (c²). The distributions of the genotypes and allele frequencies in both groups (LTBI cases and controls) were analyzed using the c²test. Non-parametric quantitative determinations, odds-ratio (OR) and 95% confidence interval (95% CI) were used to analyze the risk for LTBI associated with the TAP1 gene polymorphism. To evaluate the effect of both polymorphisms on LTBI, we used genetic inheritance models and haplotypic analyses. The statistical analysis was performed using the Arlequin software, version 3.5 (University of Bern, Germany), the SPSS Statistics for Windows, version 25.0 (IBM, Armonk, New York, USA) and the OpenEpi.com Statcalc (Andrew G. Dean and Kevin M. Sullivan, Atlanta, GA, USA). Statistical significance was set at a p<0.05, and the statistical power was 80%.

RESULTS

Population characteristics

The participants were divided into two groups: 46 LTBI cases, and 92 healthy controls. The groups were paired two-to-one, and the male: female ratio and mean age were similar between the groups. The demographic features of the cases and controls are summarized in Table 1.

Table 1
Demographic characteristics of LTBI cases and controls

Characteristic	Cases (LTBI)	Control Subjects	p
n	46	92
Gender, n (%)
Male	27 (58%)	52 (56%)	0.807
Female	19 (42%)	40 (44%)
Age (years)
Mean	21.4	22.6	0.631
Range	1-62	1 - 69
Age groups
Children 1-11*	13	19	1.0
Teenagers 12-20*	12	25	0.480
Adults 21-44*	16	39	0.272
Elderly > 45*	5	9	0.988

• LTBI = latent tuberculosis infection; *Age in years. p values <0.05 were considered statistically significant.

Association between LTBI and TAP1 gene polymorphisms

The genotypic and allelic frequencies of the TAP1 1177A>G and 2090A>G polymorphisms in the LTBI cases and controls are shown in Table 2. The genotype frequency distribution of both polymorphisms in the controls was in the Hardy-Weinberg equilibrium (p=0.157 and 0.56, respectively). There were no statistical differences in the allele and genotype frequencies for the 1177A>G polymorphism between the LTBI cases and controls. Regarding the 2090A>G polymorphism, we observed a statistically significant difference in the distribution of genotype frequencies (p=0.013) between the study groups; individuals with LTBI presented a higher frequency of the GG polymorphic homozygote genotype than the controls (15.3% vs. 2.2%, respectively). In addition, the G allele of the rs1135216 (2090A>G) SNP was present in 30.4% of the cases, compared with 17.9% in the controls, with a statistically significant difference: OR=1.997, 95% CI=1.109-3.587, p=0.021 (Table 2).

Table 2
Distribution of genotypes (codominant Model) and alleles of TAP1 polymorphisms groups

Polymorphism	Cases n=46		Controls n=92		OR	95% CI	p
	n	%	n	%
1177A>G (rs1057141)
Genotype
AA	23	50	56	60.9		1.0
AG	16	34.8	30	32.6	1.296	0.587-2.833	0.516
GG	7	15.2	6	6.5	2.805	0.824-9.807	0.098
Allele
Aa	62	67.4	142	77.2		1.0
G	30	32.6	42	22.8	1.633	0.93 – 2.85	0.086
Total	92	100	184	100
2090A>G (rs1135216)
Genotype
AA	25	54.4	61	66.3		1.0
AG	14	30.4	29	31.5	1.176	0.524-2.597	0.685
GG	7	15.3	2	2.2	8.328	1.722-61.98	0.007
Allele
Aa	64	69.6	151	82.1		1.0
G	28	30.4	33	17.9	1.997	1.109-3.587	0.021
Total	92	100	184	100

• Significant p values are shown in bold, and p-values < 0.05 were considered statistically significant; ^aReference category; OR = odds ratio; CI = confidence interval. The p-value was calculated by the Chi-squared test (χ2). The Akaike information criteria in the codominant model to rs1135216 genotype GG: 11.088

When comparing the genotype frequencies of both groups (p=0.007, OR=8.328) for carriers of the GG genotype in the codominant model, we found a significant difference in the 2090A>G SNP, as well as significant differences in the recessive and additive models (Tables 2 and 3).

Table 3
Analysis of the inheritance models considering the SNPs (1177A>G, 2090A>G) in the TAP1 gene

SNPs	Genotype	Cases		Controls		OR	95% CI	p	Akaike
		n	%	n	%
1177A>G (rs1057141)
Dominant	AAa	23	50	56	60.9	1.0
	AG+GG	23	50	36	39.1	1.551	0.755-3.193	0.232
Recessive	AA+AGa	39	84.8	86	93.5	1.0
	GG	7	15.2	6	6.5	2.553	0.778-8.591	0.121
Additive						0.647	0.382-1.095	0.105
2090A>G (rs1135216)
Dominant	AAa	25	54.4	61	66.3	1.0
	AG+GG	21	45.7	31	33.7	1.647	0.793-3.421	0.180
Recessive	AA+AGa	39	84.8	90	97.8	1.0
	GG	7	15.2	2	2.2	7.945	1.684-57.97	0.007	11.514
Additive						0.526	0.297-0.930	0.027	18.436

• SNPs = single nucleotide polymorphisms; ^aReference category; OR = odds ratio, 95% CI confidence interval. Significant p values are shown in bold, and p-values <0.05 were considered statistically significant. The p-value was calculated by the Chi-squared test (c2). The Akaike information criteria were calculated for the polymorphisms presenting with more than one inheritance model and that had statistical significance.

In the inheritance model analysis by the Akaike Information Criteria for the 2090A>G SNP, we found a value of 11.08 for the GG codominant model (Table 2).

The haplotypic association analysis was performed in both study groups to analyze the combined effect of the two polymorphisms in the TAP1 gene and no statistically significant differences were observed between the four haplotypes.

DISCUSSION

The subjects studied had a prevalence of LTBI of 30%, consistent with reports from the WHO. The increased risk of LTBI in our study population could be attributed to overcrowding, reported as a risk factor for TB¹⁵.

Other risk factors have been associated with the development of TB, such as host genetic factors. Studies have shown that genetic polymorphisms play a crucial role in the establishment and progression of active TB¹⁶. Polymorphisms in the TAP gene may lead to low translocation of peptides, altering the MHC-I pathway¹⁷.

The allele frequencies obtained in the present study (Table 2) coincide with those reported in the 1000-Genome project, rs1057141(G=18.8%), rs1135216 (G=19.5%).

The rs1135216 polymorphism (2090A>G) was associated with susceptibility to LTBI (OR=1.997, 95% CI=1.109-3.587, p=0.021), coinciding with results from other studies. A study on the Li population in China showed an association between the rs1135216 polymorphism (OR=2.87, 95% CI=1.75-4.71, p=<0.0001) in the TAP1 gene, in patients with active TB versus control subjects⁶, and a study on an Iranian population found an association with the rs1135216 polymorphism for an increased TB risk (OR=2.65, 95% CI=1.78-396, p=<0.0001), but not with rs1057141⁸. In contrast, a Korean population study found no association with TB for those bearing TAP1 gene polymorphisms⁷.

Furthermore, some polymorphisms have been associated with susceptibility to infections by other pathogens. Our group has recently found an association between a TAP1 gene polymorphism with recurrent respiratory papillomatosis¹⁸. Other studies on polymorphisms in the TAP gene have reported an increased susceptibility to hepatitis B virus (HBV), HIV and human papillomavirus (HPV) infections¹⁹,²⁰.

In the codominant inheritance model of the 2090A>G polymorphism (rs1135216), the G allele (OR=8.328, 95% CI=1.722-61.98, p=0.007) was associated with an 8.3-fold increased risk. These results are consistent with the ones reported by Naderi et al.⁸, who found that the polymorphic homozygote genotype GG (OR=19.13, 95% CI=2.47-148.2, p=<0.001) was associated with an increased risk of TB, compared with AA.

When the haplotype frequencies of TAP1 were compared, no statistically significant differences were found, thus these haplotypes were not related to protection, i.e, a reduced susceptibility to LTBI in our study population. According to the haplotype analysis, the results resemble those of the report by Balladares et al.²¹ in a Mexican mestizo and Seri Sonora Indian population.

TAP1 gene association studies have focused on active TB due to its relevance, but we believe that it is also essential to study the population with LTBI. At any rate, the role of both conditions and their associations with TAP1 gene polymorphisms are unknown in the Mexican population.

CONCLUSION

In summary, the results suggested that the rs1125216 A>G polymorphism in TAP1 is associated with the risk of LTBI. The present study is the first to analyze genetic variants in subjects with LTBI, and it is also the first study of this in a Mexican population. Nevertheless, this was a pilot study, and future studies are needed to explain the association of these TAP1 gene polymorphisms with LTBI and their possible implication in the establishment and progression of to TB.

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Publication Dates

• Publication in this collection
  05 July 2021
• Date of issue
  2021

History

• Received
  1 Mar 2021
• Accepted
  26 May 2021