International journal of Pulmonary & Respiratory Sciences

Review Article

Genes and Genetics of Tuberculosis

Bhaswati Pandit*

National Institute of Biomedical Genomics, India

Submission: March 03, 2017; Published: May 05, 2017

*Corresponding author: Bhaswati Pandit, National Institute of Biomedical Genomics, PO: NSS, Kalyani, Nadia 741251, West Bengal, India,Tel:91-033 25612959 ; Fax: 91-033 25612959, Email:bp1@nibmg.ac.in

How to cite this article: Bhaswati P. Genes and Genetics of Tuberculosis. Int J Pul & Res Sci. 2017; 1(4): 555567. DOI:10.19080/IJOPRS.2017.01.555567

Abstract

Tuberculosis affects human life globally for long time. About one third of the world’s population is infected with the causal pathogen Mycobacterium tuberculosis but without presenting any clinical symptoms. The difference in clinical outcome of infection suggests that host genetic makeup is responsible for such variability. Attempts have been made to identify the underlying genes. In case of Mendelian susceptibility to mycobacterial disease (MSMD) a rare disease with immune-deficiency, mutations were identified in genes that impair IFN γ signaling pathway. Linkage studies have identified several loci but exact gene was never pinpointed. Candidate gene association studies carried out in different populations, identified several risk alleles. But findings of all these studies were hardly replicated in another population. Findings are also not justifiable in some cases because of limited sample size. GWAS also identified several susceptible locus, many of which were replicated in another population where as many were not. Gene expression analysis also adds onto identification of gene implicated in infection and thus enhances knowledge on genes playing significant role in mycobacterium infection. However all these studies show that not a single gene but many genes are orchestrated together in determining the fate of infection. More research is necessary to find out such genes, their interaction with other members and complicated network formed.

Keywords: Tuberculosis; Susceptibility; Genes; mutations; DNA variants

Abbreviations: FEV1: Forced Expiratory Volume in the First Second; FVC: Forced Vital Capacity;, PEF: Peak Expiratory Flow; MVV: Maximum Voluntary Ventilation; FEF25-75%: Forced Expiratory Flow Rate Over 25-75% Part of FVC; DSE: Diaphragm Strengthening Exercise; sEMG: Surface Electromyogram; RMS: Root Mean Square

Introduction

Tuberculosis (TB) is a deadly disease afflicting human kind from long time. Pre historic evidence found in excavation [1], mummies [2] etc. suggest that tuberculosis was present in ancient days. The disease is caused by infection with Mycobacterium tuberculosis which is transmitted from an infected person in form of aerosol droplets. WHO estimates 10.4 million new cases in 2015 [3]. There is an estimate of 1.4 million deaths due to TB in the year 2015. The outcome of infection is manifold. Only a minor group of people develop active tuberculosis upon exposure to Mycobacterium tuberculosis. A handful of individuals are able to clear the infection, whereas majority of infected individuals harbor the infection in latent condition.

In latent condition Mycobacterium within macrophages encloses itself in cellular aggregates formed by different kind of immune cells. Such compact cellular aggregates are called granuloma [4]. About one third of the world population belongs to latent infected group. Only 10% of them may express the disease in one’s life time by reactivation of the latent pathogen depending on the immune status of the host. All these observations, lead to the obvious question why such differences exist and what determines such differences? Before discoveryof mycobacterium bacilli by Robert Koch, it was thought that tuberculosis has a prominent hereditary component as many members in the same family were affected. However, after Koch’s discovery the thought was that Mycobacterium tuberculosis is sole responsible for the disease and elimination of the bacteria will prevent the disease. But it was gradually realized that bacilli alone is not sufficient for an individual to express the disease.

At present, it is unequivocally proved that not only the pathogen but host factors have major contribution in successful establishment of infection. Twin studies and animal models suggest that host factor play considerable role in predisposing an individual to such infections. Concordance of tuberculosis is higher among monozygotic twins than dizygotic twins [5,6]. Animals infected with M.tb can result into susceptible and resistant group depending on the genetic background of the animal. All these evidences suggest that host susceptibility is determined by the genetic makeup of an individual which controls immune response. Genetic locus controlling such susceptibility to infection can be identified by screening and comparing infected individuals in a family or community to non-infected individuals [7], by comparing syntenic locus identifiedin animals [8] already demonstrated to have role in infection or genes which has functional implication in immunity [9].

With the aim to identify genes or genetic variants playing role in susceptibility to tuberculosis, initially linkage study and later on case control association studies were undertaken by several groups. Linkage studies are family based, where affected individuals sharing similar phenotypes as well as unaffected members are screened for genetic markers across all chromosomes. Commonality of markers in different regions of chromosomes of the affected members, are compared to unaffected members to locate a genetic loci which is significantly linked and co-segregate with the phenotype. The genomic locus identified may harbor the causal gene that contributes to such altered disease phenotype. The case control approach is another approach where instead of family members, unrelated ‘case’ (active disease) and ‘control’ (without disease) are enrolled for screening genetic markers. It is then tested whether the genetic variants are associated with the disease trait. Selectively few candidate genes can be tested for the purpose or the test may be extended to the whole genome level.

Discussion

Mendelian Susceptibility to Mycobacterium Disease (MSMD)

A rare form of tuberculosis known as Mendelian Susceptibility to Mycobacterium Disease (MSMD) is a class of disease where children are immune compromised, displaying severe symptoms of tuberculosis even when infected with weak strain of mycobacterium like BCG or natural atypical strains [10]. The penetrance of the disease is highly variable. Linkage studies with the affected family members led to identification of the region on chromosome 6 harboring the gene IFNγ receptor. Sequencing of IFNγ receptor 1 gene identified mutations leading to premature termination [11]. Later on mutations were detected in IFN-γR2 gene also [12]. The two subunits combine to form IFN-γ receptor, which binds to its ligand IFNγ and transduce the signal to downstream effector molecule. Eventually many more mutations were identified in several other genes which include autosomal genes like IRF8, IL12B, IL12RB1, STAT1, ISG15 and X-linked NEMO, CYBB [13] (Table 1). The common thread between these genes is that they all are involved in the circuit of IL12 induced IFNγ activation pathway [14]. These mutations lead to recessive or dominant form of disease, with complete or partial loss of function. Mutations in all above mentioned genes explain 50% of the cases with remaining 50% cases still unknown for mutations. All these mutations cause inactivation of IFNγ or impaired signaling leading to inborn error in immunity. This suggest that IFNγ mediated immunity is central to mycobacterial infection.

Linkage studies

Shaw and his colleagues studied several families in Brazil and identified a TB linked locus presenting weak linkage to CXCR2 gene (P= 0.039) which is tightly linked to SLC11A1 (NRAMP1) gene [15]. This region encompasses SLC11A1 and TNF gene cluster even though neither of them presented any evidence of linkage independently. SLC11A1 was well characterized and known for its variants to be associated with tuberculosis. Hypothesizing that this gene may be a good candidate gene for susceptibility to tuberculosis a linkage study was performed in a large Aboriginal Canadian family. Evidence of linkage was found in SLC11A1 region (2q35) (LOD=3.8) but no mutations were reported [16]. Another outcome of this study was that no significant linkage to HLA region was found which is otherwise thought to have important role in infection. Gambian and South African sib pair analysis identified seven loci, two of which (15q11-q13 LOD 2.00, Xq26 LOD 1.77) were replicated in another independent set. However, all of these linkages were weak [17,18]. Further evidence of linkage was obtained at the locus 8q12-13 (LOD>3) in a study performed on 96 Morroccan families [19]. Stein et al reported linkage to 7p22 locus among Ugandan people, which harbors IL6 gene nearby [20]. They also reported additional two loci 2q21-24 and 5p13- 5q22 associated with phenotype of non reactivity to tuberculin skin test. Evidence of age specific variation was obtained in a study led by Mahasirimongkol et al. [21]. They reported linkage in two regions 17p13.3-13.1, 20p13-12.3 in patients from Thailand, when patients were stratified on the basis of age of onset (<25 yr). Several groups later undertook fine mapping of the regions identified by linkage analysis by typing more dense markers in the region i.e. single nucleotide polymorphisms (SNP). Fine mapping of 17q11-17 revealed, presence of many genes like NOS2A, CCL2/MCP-1, CCL3/MIP-1a, CCL4/MIP-1b, CCL5/RANTES, CCR7, STAT3 and STAT5A/5B in the region [22]. Screening of this region showed evidence of linkage with LOD score of 2.48 (p 0.0004). Similarly, fine mapping of region 5q31 which spans Th2 cytokine gene cluster revealed association of haplotypes with tuberculosis [23]. Failure to replicate the identified loci in other populations, has dampened the findings of linkage study. This also suggests that not a single gene but multiple genes determine susceptibility to tuberculosis.

Candidate gene association studies

More than three hundred reports describe association of tuberculosis with DNA variants in more than hundred candidate genes. Candidates are chosen based on their role in immunity. Highly reported and well studied few genes are SLC11A1, VDR, TLRs, HLA class II molecules, IFNg, IL10, TNFa [9]. The most successful and convincing study is with SLC11A1 gene which has been replicated in several countries. Studies on mouse model identified and mapped a locus on chromosome1 controlling infection towards mycobacterium, salmonella, and leishmania. The identified gene was called Bcg and later renamed as Nramp1 (natural resistance associated macrophage protein, also known as Solute Carrier Family 11a member1 SLC11A1). The human homologue of Nramp1 was identified and mapped to chromosome 2q35. NRAMP1 is a metal transporter localized in late endosome of macrophages and recruited to phagosome when phagocytosis occurs. Evidence of significant linkage to NRAMP1 or SLC11A1 was demonstrated in a large indigenous Canadian family [16]. The four variants of SLC11A1 gene INT4, D543, 3’UTR, 5’GT as risk allele for TB have been studied in several populations across the globe [24]. Effect of each of the variant is highly variable among different population [25]. Some variants of SLC11A1 not only represent high degree of susceptibility to tuberculosis, but also severe form of it [25,26,27]. Meta analysis suggests that variants in SLC11A1 are significantly associated with Asian and Africans with PTB but not among people of European origin [28]. The genetic variants of SLC11A1 are strongly associated (OR 1.75(CI 1.10-2.77), p=0.01) with tuberculosis susceptibility among children [29].

Vitamin D level inversely correlates with severity of TB [30]. It is well established that Vitamin D plays role in defense against mycobacterium by inducing antimicrobial peptide cathelicidine, an inducer of autophagy in macropahage and boosting adaptive immunity. Vitamin D also modulates differentiation and growth of different immune cells. All these cells express vitamin D receptor through which Vitamin D acts. High doses of Vitamin D along with normal course of drugs are used for tuberculosis treatment. Four well known DNA variants in Vitamin D receptor (VDR) gene are studied among different population. They are designated as Fok1 (rs10735810), BsmI (rs154410), Apa I (rs7975232), TaqI (rs731236) depending on the ability of the restriction enzymes to cut at the specific locations. The FokI site has a C/T polymorphisms which determine the amount of VDR produced and contributes to risk for tuberculosis (OR = 1.507, 95%CI = 1.192-1.906, P = 0.001). Meta-analysis suggests that the roles of other polymorphisms are not significant with development of pulmonary tuberculosis [31] among East Asians. These polymorphic sites are located in the 3’UTR and may have a role in VDR mRNA stability. The results with VDR polymorphisms are also inconsistent among different population. Few studies including the study by Lombard et al did not reveal any association of tuberculosis with VDR polymorphisms, but the F-b-A-T haplotype was observed as a protective factor for TB in South Africa [32]. Other haplotypes f-T-B and f-T-B as risk for tuberculosis were reported in Iranian population [33].

A study on Indians from northern part reported association of HLA-DR2 to susceptibility to tuberculosis [34]. Although no association or linkage was detected in population from south India [35]. Association of HLA DQ alleles are reported in Cambodia [36]. Among Iranian patients HLA-DRB1*07 and HLA-DQA1*0101(OR 2.7, 95%CI 1.19-6.13, P= 0.025 and OR 2.66, 95%CI 1.15-6.44, P = 0.04, respectively) appeared to be the predisposing alleles and HLA-DQA1*0301 and 0501 the protective alleles (OR 0.254, 95%CI 0.075-0.865, P = 0.033 and OR 0.53, 95%CI 0.3-0.95, P = 0.045, respectively) [37]. Associations of different alleles to susceptibility and protection have been reported in South Africa, Greece, Poland, and China. Analysis of (HLA)-DRB1 and -DQB1 gene polymorphisms among Koreans suggest that DRB1*0803 (OR = 1.97, p = 0.012) and DQB1*0601 (OR = 2.07, p = 0.005, p(c) > 0.05) alleles are associated with progression of tuberculosis to severe form and development of drug resistance [38]. A study led by Salei M attempted to correlate HLA class I polymorphism of the host with the strain of M.tb infected [39]. Further they have shown that presence of HLA-B27 allele protect an individual from another episode (OR=0.21 p=0.006) of disease. More recently a metaanalysis including 31 study suggests that the HLA-DRB1*04, *09, *10, *15, and *16 gene polymorphisms [*04 (OR 1.22, 95% CI 1.00-1.48, P = 0.048), *09 (OR 1.50, 95% CI 1.08-2.08, P = 0.016), *10 (OR 1.23, 95% CI 1.01-1.49, P = 0.035), *15 (OR 1.40, 95% CI 1.14-1.73, P = 0.001), and *16 (OR 1.33, 95% CI 1.08-1.63, P = 0.007)] may be associated with risk of TB, particularly among the East Asian. But the HLA-DRB1*11 gene polymorphism *11 (OR 0.72, 95% CI 0.53-0.99, P = 0.044), may have protective role. No significant association between the HLA-DRB1*01, *03, *07, *08, *12, *13, and *14 gene polymorphisms and TB risk was found [40].

Toll like receptor (TLR) play important role in activation of innate immunity against mycobacterial infection. Pathogen associated molecular patterns (PAMP) are recognized by TLRs. These receptors are present on cell surface or intracellularly in cytoplasm or on endosomal membranes. TLR2 and TLR4 form heterodimer with TLR1 or TLR6 and recognize mycobacterial components. Polymorphisms in TLR genes are extensively studied to test association with tuberculosis susceptibility in different ethnicities, but results are contradictory. rs 4833095 in TLR1 gene is associated with resistance to tuberculosis. Metaanalysis suggest that heterozygous individuals with AG genotypes are protected than GG (AG vs. GG: OR=0.77,95% CI=0.65-0.95, p=0.0031) [41]. On meta-analysis rs5743708 turned out to be non significant, even though individual studies report A allele as a risk allele for Hispanic and Asian population. Analysis of another SNP in TLR2 gene (rs3804100) demonstrated that CC genotype is risk for developing tuberculosis. Variants in TLR4 (rs4986791), TLR6 (rs5743810), TLR9 (rs352139) turn out to be risk or protective when studied individually, but overall do not pose any strong effect on risk for TB development.

This study explored the effect of 12 weeks of strengthening exercise of diaphragm in asthmatic children. It revealed a statistical significant higher values of FEV1, FEV1/FVC, PEF and MVV and also a significant increase in diaphragmatic thickness and excursion in asthmatic patients after diaphragm strengthening exercise. Many authors studied the effect of non respiratory exercise on pulmonary function parameters in asthmatic children [19, 21,26-29,] Their results revealed marked improvement in pulmonary functions after diaphragmatic training. Girodo [29] studied the effect of 16-week program of diaphragmatic strengthening exercise for asthmatic patients. They found a significant reduction in medication use and in the intensity of asthmatic symptoms. A follow up at two months found that many patients have returned to earlier medication levels with marked impairment in their PEF. McCool [30] postulated that weight-bearing maneuvers may be used to strengthen the diaphragm and expiratory muscles. However they found that although strength training leads to myofiber hypertrophy, it does not result in mitochondrial proliferation, so weight lifting increases diaphragm structure and pressures with less effect on contractility and excursion.

The candidate association studies performed on different populations are highly heterogeneous in nature. In many studies it is reflected that age should be given importance and age turned out to be an important factor. The variable results of association may be due to genetic heterogeneity, clinical heterogeneity and different LD pattern in different population and limited sample size in each study.

Genome wide association studies (GWAS)

The aim of Genome wide association study is to identify disease associated DNA variants in a genome wide manner in a large number of samples. Cases with disease and controls without disease are compared in GWAS with appropriate precautionary measurements. The first GWAS for tuberculosis done on African population from Ghana and Gambia, identified an intergenic SNP rs 4331426 (OR 1.19 (1.12-1.26), p=6.8X10-9) on the chromosomal region 18q11.2 [42]. However the biological implication of this SNPS was not known as it is located in the gene desert region. The same tested in Chinese population was significant but with opposite effect (p= 0.011, OR 0.62 (0.44- 0.87) i.e. protective as reported by Wang et.al. [43]. This locus also failed to replicate in South African Colored population [44]. Another study on Ghana and Gambian population identified another non coding SNP rs 2057178 (OR 0.77 (0.71-0.84), p=2.63X 10-9) which was associated with resistance to TB [45]. The nearest genes WT1 and RCN1 were located 45Kb and 500 Kb respectively both of which apparently have no connection with infection. However association of this SNP was validated in Russian (p = 2.0 × 10−2, OR 0.91, (0.82-0.99), Indonesian (p= 9.9 × 10−2, OR 0.84, (0.68-1.03), African Colored population (p= 2.71X 10-6, OR 0.62 (0.5-0.75) [44] also. Since then few more studies across different countries and population have identified some more locus.

A GWAS performed on Russian identified several significant SNPs at the locus 8q24. The most significant variant rs 4733781 (p=2.6X10-11 OR 0.84 (0.8-0.88), is located in an intron of ASAP1 gene. It was demonstrated that this variant can alter ASAP1 expression in dendritic cell affecting its migration [46]. Significant association of rs 4733781 also hold true for African population from Ghana and Gambia, but not in Western Chinese Han and Tibetan population [47]. However the Russian population did not show any association with the SNP at the locus 18q11 previously reported in African population. Another interesting observation was that the significant SNPs identified in African population apparently failed to replicate in Thai and Japanese population. An earlier study on Thai population presented evidence of linkage on 20q12. But only when the patients were stratified based on their age (cut off of 45yr), the young tuberculosis patients presented significant association with SNP rs 6071980 (p=6.69X10-8 OR 1.94 (1.34–2.82)) on 20q12 [21]. The nearest genes HSPEP1-MAFB are potential candidates for TB susceptibility. Recently, deep sequencing of the region 20q13-12.3 identified rs13830 and rs1127354 in ITPA gene showing association with young (age < 45 yr) TB patients [48] in Japan. The region 5q31 harbor a gene cluster of Th2 cytokine and showed evidence of linkage for tuberculosis earlier. Fine mapping of this region among Thai trio families identified DNA variants in three genes SLC22A4, SLC22A5 and KIF3A of nominal significance. However haplotype constructed with three markers from these genes remain significant even after multiple testing corrections [23]. This implies that multiple DNA variants play role in tuberculosis. A separate study on Indonesians identified nine independent locus near genes JAG1, DYNLRB2, EBF1, TMEFF2, CCL17, HAUS6, PENK and TXNDC4. Findings of this study were validated in another Indonesian group as well as among Russian [49] independently or in combination but none of them attained genome wide significance. Previously reported susceptible loci 8q12-13 in a family based discovery study from Morocco was further densely mapped by genotyping SNPS located in the region [19]. Two SNPs rs1568952 and rs2726600 located in introns of TOX gene were significantly associated with tuberculosis (combined p = 1.1 × 10-5 and 9.2 × 10-5). The association was even stronger in patients with age less than 25 yr. TOX is required for the development of the CD4 T lineage. Results were replicated in Madagascar nuclear families with early onset of TB [50].

A comparative study was performed in a cohort consisting of people from Uganda and Tanzania, consisting of HIV coinfected TB patients and only HIV infected individual who do not develop tuberculosis infection in spite of close exposure to TB patients [51]. A SNP rs4021437 at 5q33.3 was significantly associated with TB infected individuals (OR 0.37, p =2.11X10-8) in a HIV positive background. This SNP is located near IL12 gene and embedded in H3K27Ac his tone mark possibly indicating its role in regulation. This again strengthens the fact that IL12 has important role in TB infection. Summary of GWAS done are given in Table 2.

Host response and activation of genes

Host response to infection is reflected in its transcriptional signature. Altered gene expression also provide clue for identifying host genes implicated in infectious disease. In case of tuberculosis host gene expression profile has been studied using whole blood or PBMC or different immune cells [52,53,54]. Many of these studies have concluded similar type of genes altered in tuberculosis infection and can discriminate active disease or latency or even from any other type of infection. Altered genes are majorly immune regulator, cytokines or receptors or involved in inflammation or apoptosis triggered by pathogen infection [55]. A study involving patients from UK and Africa suggested presence of neutrophil driven interferon signature with active TB cases, which is absent in latent and healthy individuals [53]. This signature was validated in samples from different countries and different assay platforms. This study also demonstrated that there was significant change in transcriptomics after two months of treatment. Two other studies in Africa also demonstrated decline in certain transcripts after administration of drugs [56,57]. Complement genes within this list suggest complement mediated decrease in bacterial load [57]. Different mycobacterium strain can evoke differential immune response. Change in gene expression was monitored in lung epithelial cells after infecting with different strains of mycobacterium [58]. Strain specific signature was visible with overlapping signature as well. Strain specific signature and activation of functional pathways were also observed for two strains. Strain specific signatures are of immense importance to identify strain specific biomarkers and immunotherapy.

Conclusion

It is clear that host response to any infection is a multistep process. It is a complex interaction between host and pathogen. In order to understand the biology of infection one needs to dissect the complex interaction between the host genes which are activated to protect the host, whereas the pathogen genes counteract the host defense mechanism. Development of modern genomic tools has enabled us to understand the molecular events. HIV infection has aided the spread of tuberculosis and so is diabetes. Even though we have knowledge on association of numerous variants and their role in tuberculosis but many more are yet to be discovered. Also in many cases it is not clear how the hits of GWAS contribute to susceptibility. More studies are required in future for better understanding.