Abstract
Killer immunoglobulin-like receptors (KIR) on natural killer (NK) cells interact with other immune cells to monitor the immune system and combat infectious diseases, such as tuberculosis (TB). The balance of activating and inhibiting KIR interactions helps determine the NK cell response. In order to examine the enrichment or depletion of KIRs as well as to explore the association between TB status and inhibitory/stimulatory KIR haplotypes, we performed KIR genotyping on samples from 93 Canadian First Nations (Dene, Cree, and Ojibwa) individuals from Manitoba with active, latent, or no TB infection, and 75 uninfected Caucasian controls. There were significant differences in KIR genes between Caucasians and First Nations samples and also between the First Nations ethnocultural groups (Dene, Cree, and Ojibwa). When analyzing ethnicity and tuberculosis status in the study population, it appears that the KIR profile and centromeric haplotype are more predictive than the presence or absence of individual genes. Specifically, the decreased presence of haplotype B centromeric genes and increased presence of centromeric-AA haplotypes in First Nations may contribute to an inhibitory immune profile, explaining the high rates of TB in this population.
Introduction
Natural killer (NK) cells bridge the innate and adaptive immune response to infection by the production of cytokines [1]. The activity of NK cells is controlled by a balance of inhibitory and stimulatory signals generated when a ligand binds to a killer immunoglobulin-like receptor (KIR) on the NK cell surface. The interaction of KIR and self-human leukocyte antigen (HLA) class I allows NK cells to identify and inhibit immune responses to normally functioning cells. Inhibitory KIRs contain an immunoreceptor tyrosine-based inhibition motif (ITIM) which interacts with a phosphatase, preventing phosphorylation of the activation cascade (NK cell cytotoxicity and cytokine release). Activating KIRs lack ITIMs but interact with a signalling adaptor that contains an immunoreceptor tyrosine-based activation motif (ITAM) that interacts with a kinase, allowing progression of the activation cascade [2]. When the stimulatory interactions overcome the inhibitory interactions, the outcome is NK cell cytotoxicity resulting in cytokine release [1], which plays a significant role in the immune response to infectious diseases such as tuberculosis (TB) [3].
KIR genes are highly variable in nature due to both polygenic and multi-allelic polymorphisms [1]. KIR genes have a high level of sequence similarity leading to a predisposition for homologous recombination, explaining the expansion and contraction of the KIR locus [4]. Genetic susceptibility or resistance to infectious disease has been highly correlated with ethnicity, which in conjunction with host risk factors, can determine disease progression [5]–[8]. The KIR diversity, as well as activating/inhibiting balance of KIR genes, contributes to distinct disease outcomes between ethnic populations. For example, KIR2DL3 has been found to be significantly more prevalent in Lebanese and Mexican TB patients compared to control populations without TB [9], [10]. Distinct outcomes of immune-regulated diseases are primarily due to differential expression of cytokines between different populations such as Caucasians, First Nations, and other ethnicities.
Tuberculosis is caused by infection with the bacterium Mycobacterium tuberculosis, spread by airborne particles generated by an infectious person [11]. It is the inability of the infected macrophage to contain the M. tuberculosis that is fundamental to the pathogenesis of TB. Approximately 90% of infected non-immunosuppressed individuals never develop active disease, while up to 10% may develop disease at some point during their lifetime [11], [12]. Latent TB infection (LTBI) refers to the condition in which M. tuberculosis remains viable in the macrophage but retains only a small amount of metabolic activity [13]. LTBI has historically been captured as exposed or unexposed, as compared to a gradient or degree of exposure [14]. Current evidence suggests LTBI may be better explained as a spectrum of disease correlating to degree, duration, and proximity of exposure [14].
The World Health Organization estimated the global prevalence of LTBI at 33%, with 9.2 million new cases of TB in 2010 (128/100,000 population) [15]. In the same year, 1.1 million people died of TB. Canada reported 1577 new active cases of TB (4.6/100,000) in 2010 [16]. The incidence of TB in Manitoba in 2010 was 10.7/100,000, with a disproportionate incidence in Canadian born Aboriginal (First Nations, Metis, and Inuit) peoples (39.8/100,000) compared with Canadian born non-Aboriginal peoples (1.6/100,000) [16]. The overall incidence of TB on First Nations reserve communities (including those of the Dene, Cree, and Ojibwa ethnocultural groups) in the Canadian province of Manitoba reached 58.3/100,000 in 2010 [16]. Rates of TB in certain Manitoba First Nations communities exceeds 400/100,000 [17]–[19]. The determinants of TB in Canadian First Nations peoples include those associated with host virulence [17], [20], host susceptibility [21], [22] and social/environmental factors [23].
The discovery of an unexpected level of diversity within the KIR genes has led to a search for their role in human disease [4]. The presence or absence of KIR genes may be associated with tuberculosis status (active disease, latent disease, uninfected) as well as ethnicity of an individual [9], [10], [24]. It is hypothesized that the differences in genetic KIR profiles between Manitoba First Nations and Caucasian individuals elicits differential cytokine expression and eventually contributes to the outcome to TB infection. Identification of ethnic specific genes that confer susceptibility to TB infection will help to better understand the interaction of host genetics and the immune system. In this study we examined the enrichment or depletion of KIR genes in Manitoba First Nations and Caucasian populations with special focus on First Nations with active, latent, or uninfected TB status. In addition, we sought to explore the association between TB status and inhibitory/stimulatory KIR profiles and haplotypes.
Materials and Methods
Study Populations
The 168 samples consisted of whole blood and/or buccal swabs from adult Dene (n = 63), Cree (n = 19), and Ojibwa (n = 11) individuals from three Northern Manitoba First Nations communities, as well as uninfected Caucasian controls (n = 75) from Winnipeg, Manitoba. Within each First Nations groups, there were internal uninfected controls. The samples were obtained with informed written consent, in addition to approval by the University of Manitoba Ethics Board and the First Nations communities involved. Interviews and questionnaires were conducted probing for evidence of investigation and treatment of active or latent tuberculosis, including history of tuberculin skin test (TST) and treatment regimens. The study comprised of 59 First Nations individuals with no TB, 14 individuals with latent TB, and 20 individuals with active TB. Sample demographics can be seen in Table 1. Although most First Nations individuals involved received bacilli Calmette-Guérin (BCG) vaccination at birth, the interval of greater than 18 years between BCG and TST prevents any significant number of false-positives due to cross-reactivity [25], [26]. Therefore history of a positive TST result was assumed to be from a delayed-type hypersensitivity reaction to the tuberculin, and not a cross reaction from potential previous BCG vaccination.
Table 1. Study population demographics.
Parameter | Value | Number of Isolates (%) | |||
Caucasian | Dene | Cree | Ojibwa | ||
n = 75 | n = 63 | n = 19 | n = 11 | ||
Gender | Male | 25 (33.3) | 34 (54.0) | 8 (42.1) | 6 (54.5) |
Female | 50 (67.7) | 29 (46.0) | 11 (57.9) | 5 (45.5) | |
Age | ≤19 | 0 (0.0) | 3 (4.8) | 0 (0.0) | 0 (0.0) |
20–39 | 0 (0.0) | 19 (30.1) | 1 (5.3) | 2 (18.2) | |
40–59 | 44 (58.7) | 24 (38.1) | 14 (73.7) | 6 (54.5) | |
≥60 | 31 (41.3) | 17 (27.0) | 5 (26.3) | 3 (27.3) | |
Disease Status | No TB | 75 (100.0) | 38 (60.3) | 11 (57.9) | 10 (90.9) |
Latent | - | 10 (15.9) | 4 (21.1) | 0 (0.0) | |
Active | - | 15 (23.8) | 4 (21.1) | 1 (9.1) |
DNA Extraction and Replication
Genomic DNA was extracted using Qiagen DNA Mini Kit as per manufacturer's instructions (Qiagen, Louisville, KY). Genomic DNA was eluted from the silica-membrane-based nucleic acid purification column with 200 μL of elution buffer containing 10 mM Tris-Cl and 0.5 mM EDTA, pH 9.0, and stored at −20°C until analysis. The samples were subjected to whole genome replication using the Qiagen Repli-G mini kit as per manufacturer's instructions to increase DNA concentration of the testing sample.
KIR Genotyping
The concentration of DNA was normalized to 100 μg/mL at 260 nm using the SmartSpec Plus spectrophotometer (Bio-Rad, Mississauga, ON). KIR genotyping was performed by sequence-specific primer polymerase chain reaction (SSP-PCR) using the Miltenyi Biotec KIR typing kit (Auburn, CA) with the following adjustments: the PCR denaturation step was extended from one minute to two minutes in order to ensure proper amplification of the internal beta-actin control in each reaction well. Additionally, TAE buffer was replaced by TBE buffer for gel electrophoresis. The kit tested for the presence or absence of the following genes: KIR2DL1, KIR2DL2, KIR2DL3, KIR2DL4, KIR2DL5all (A and/or B), KIR2DL5A, KIR2DL5B, KIR2DS1, KIR2DS2, KIR2DS3, KIR2DS4del (KIR1D), KIR2DS4ins (full length), KIR2DS5, KIR3DL1, KIR3DL2, KIR3DL3, KIR3DS1, KIR2DP1, and KIR3DP1. The amplicons were visualized with UV light (Bio-Rad Gel Doc EZ Imager, Mississauga, ON) following gel electrophoresis at 13V/cm on a 2% agarose gel containing ethidium bromide. Proficiency testing was performed using samples with known KIR genotype from the Fred Hutchinson Cancer Research Center, International Histocompatibility Working Group Cell and Gene Bank (Seattle, WA).
Statistical Analysis
The presence (1) or absence (0) of a gene was assigned a binary code and this data was entered into BioNumerics software version 5.0 (Applied Maths, Belgium). Data for each individual's KIR genes were combined into a KIR profile and clustered to identify prevalent profiles among specified groups using the categorical co-efficient and UPGMA [27]. KIR gene frequencies were tabulated by direct counts from the clustered profiles to determine frequency within a defined group. Differences between Caucasians, First Nations, First Nations subsets and TB status groups were estimated using the two-tailed Fisher's exact test (GraphPad Software, La Jolla, CA). Haplotype designation was determined as previously described [28], [29].
Results and Discussion
All samples consistently contained the framework genes KIR2DL4, KIR3DL2, KIR3DL3, and the pseudogenes KIR2DP1 and KIR3DP1, as expected [28]. There were many significant differences (P-value ≤0.05) in the frequency of KIR genes between Caucasians and First Nations. Differences were seen in KIR2DL2, KIR2DL5A, KIR2DS1, KIR2DS2, KIR2DS3, KIR1D, KIR2DS4, KIR2DS5, KIR3DL1, and KIR3DS1 ( Table S1). More specifically, compared to Caucasians, significant differences were seen in gene frequencies in Dene First Nations (KIR2DL2, KIR2DS2, KIR2DS3, KIR1D, KIR2DS4, KIR2DS5, KIR3DL1), Cree First Nations (KIR2DL2, KIR2DL5all, KIR2DL5A, KIR2DL5B, KIR2DS1, KIR2DS2, KIR1D, KIR2DS5, KIR3DL1, KIR3DS1), and Ojibwa First Nations (KIR2DL1, KIR2DS5). We found that haplotype B centromeric genes (KIR2DL2, KIR2DS2, KIR2DS3) were reduced while haplotype B telomeric genes (KIR3DS1, KIR2DL5A, KIR2DS1, KIR2DS5) were more prominent in Manitoba First Nations when compared with Caucasians. These findings agreed with recent work by Rempel, et al [30]. Additionally, haplotype A telomeric genes KIR2DS4 and KIR3DL1 were significantly increased, and decreased, respectively in First Nations compared to Caucasians. Haplotypes A/B as well as centromeric/telomeric distinction is illustrated in Figure 1. These additional findings, along with the haplotype analysis (see below) support the view that First Nations individuals have a stronger inhibitory phenotype compared to Caucasians. This conclusion is the opposite proposed by the literature, and the difference may be attributed to different ethnocultural sample populations: Rempel, et al study contained 70% Oji-Cree First Nations compared to 68% Dene First Nations in our study.
The presence of KIR1D was significantly lower in First Nations (both Dene and Cree) individuals. KIR1D is an allele of KIR2DS4, with a 22 base pair deletion resulting in a truncated protein. The loss of a transmembrane domain as well as a cytoplasmic domain in KIR1D leads to a protein that is not anchored to the membrane [28], [31]. When comparing KIR gene frequencies in First Nations individuals with TB status (active and latent) to those with negative TB status, the only gene approaching statistical significance was KIR1D, found in 45.76% of First Nations with no disease but only 26.47% in First Nations with TB status (p-value 0.0795; Table S2). Few disease association studies [32]–[34] have been performed to date on KIR1D, none focusing on tuberculosis. Since KIR1D cannot anchor to the membrane, it becomes a secreted KIR molecule. It has been hypothesized that there may be a role for a soluble KIR to act as a ligand for an unidentified receptor, or to “mop up” soluble HLA, which could interfere with NK cell function [31], [34].
For those with KIR2DS4 as their only activating gene, the full length KIR2DS4 was more common than KIR1D, as anticipated [31]. Of the forty different profiles identified in our 168 samples, only seven individuals (4.2%; genotype #8) had KIR1D as their only activating KIR compared to 20 individuals (11.9%; genotype #11) with KIR2DS4 as their only activating KIR (Figure 2). Those individuals with KIR1D as their only “activating” KIR (KIR1D+/+), do not have any intact activating membrane-anchored KIR due to the loss of the transmembrane domain. These individuals all belonged to the no disease group.
First Nations were significantly more likely to have AA-AB and AA-BB haplotypes, and less likely to have AB-AA and AB-AB haplotypes than Caucasians (Table 2). In addition, significantly more First Nations individuals with TB status (30/34, 88.2%) were found to have a centromeric-AA haplotype (P-value <0.0001). Half of the active cases of tuberculosis were of the haplotype AA-AA, which contains the fewest number of activating genes of all haplotypes. It may be speculated that the lack of activating KIR genes leads to a worsened immune response against tuberculosis infection.
Table 2. Frequency of centromeric and telomeric haplotypes in Caucasians and First Nations.
Haplotype | Ethnicity | Tuberculosis Status in First Nations | |||||
Centromeric | Telomeric | Caucasian | First Nations | Latent | Active | Uninfected | |
(n = 75) | (n = 93) | P-value | (n = 14) | (n = 20) | (n = 59) | ||
AA | AA | 25 (33.3) | 38 (40.9) | 0.3399 | 5 (35.7) | 10 (50.0) | 23 (39.0) |
AA | AB | 5 (6.7) | 25 (26.9) | 0.0006 | 4 (28.6) | 6 (30.0) | 15 (25.4) |
AB | AA | 21 (28.0) | 2 (2.2) | <0.0001 | 2 (3.4) | ||
AB | AB | 15 (20.0) | 8 (8.6) | 0.0421 | 2 (14.3) | 1 (5.0) | 5 (8.5) |
AA | BB | 0 (0.0) | 13 (14.0) | 0.0006 | 3 (21.4) | 2 (10.0) | 8 (13.6) |
AB | BB | 1 (1.3) | 3 (3.2) | 0.6296 | 1 (5.0) | 2 (3.4) | |
BB | AA | 1 (1.3) | 3 (3.2) | 0.6296 | 3 (5.1) | ||
BB | AB | 5 (6.7) | 1 (1.1) | 0.0900 | 1 (1.7) | ||
BB | BB | 1 (1.3) | 0 (0.0) | 0.4464 | |||
BB | −/− | 1 (1.3) | 0 (0.0) | 0.4464 |
Significant P-values (≤0.05) are bolded.
In summary, there are significant differences in KIR genes between Caucasians and First Nations participants in this study, and between the participants of different First Nation ethnocultural groups (Dene, Cree, and Ojibwa). When looking at tuberculosis status, it appears that the KIR profile and centromeric haplotype are more predictive than the presence or absence of individual genes. The increased presence of all centromeric-AA haplotypes in First Nations (81.8%) compared to Caucasian (40.0%) participants, along with the overwhelming amount of TB (88.2%) in these same haplotypes, indicates a predictive relationship between KIR, ethnicity, and disease.
When assessing study validity, results from these First Nations communities are not necessarily generalizable to all First Nations communities in the province of Manitoba. The small number of samples also affects the internal validly, however the degree of participation is not surprising in the context of research performed in Canadian Aboriginal populations in remote communities [35]. It is because of this that the statistical power of the comparisons was limited.
The sampling of additional individuals is needed to confirm the generalizability of these findings to the larger provincial Aboriginal populations. In addition, further work, such as sequence analysis of select genetic regions, needs to be done to further clarify the relationship between infectious diseases and KIR in individuals with tuberculosis.
Supporting Information
Acknowledgments
We would like to thank the staff of the NRCM/NML and Ms. Kate Decter for their technical assistance.
Funding Statement
No specific funding was sought for this project. Kali Braun is Dr. Sharma's graduate student and was funded by a graduate student stipend from the University of Manitoba. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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