Abstract
The role of polymorphisms within the antiviral tripartite motif (TRIM) genes in measles vaccine adaptive immune responses was examined. A limited association was found between TRIM5 (rs7122620) and TRIM25 (rs205499) gene polymorphisms and measles-specific antibody levels. However, many associations were found between TRIM gene SNPs and variations in cellular responses (IFN-γ Elispot and secreted cytokines IL-2, IL-6, IL-10, IFN-γ, and TNF-α). TRIM22 rs2291841 was significantly associated with an increased IFN-γ Elispot response (35 vs. 102 SFC per 2×105 PBMC, p=0.009, q=0.71) in Caucasians. A non-synonymous TRIM25 rs205498 (in LD with other SNPs, r2≥0.56), as well as the TRIM25 AAAGGAAAGGAGT haplotype, was associated with a decreased IFN-γ Elispot response (t-statistic −2.32, p=0.02) in African-Americans. We also identified polymorphisms in the TRIM5, TRIM22, and TRIM25 genes that were associated with significant differences in cytokine responses.
Additional studies are necessary to replicate our findings and to examine the functional consequences of these associations.
Keywords: Single-nucleotide polymorphisms, measles virus, measles vaccine immunity, TRIM genes, antiviral, innate, antibody, cytokines, Elispot, Caucasians, African-Americans
1. Introduction
We previously demonstrated that the heritability of measles vaccine-induced humoral immunity was very high (~90%) [1]. Measles virus (MV)-induced immunity is influenced by a multitude of host-genetic variants (SNPs) that, in part, explain inter-individual differences in humoral and cell-mediated immune (CMI) responses to live measles vaccine [2,3]. Several candidate-gene association studies have demonstrated that multiple genes/SNPs/haplotypes (HLA, cytokine, viral and innate receptors, and others) have significant effects on measles vaccine-induced immune responses [4-9]. Genetic variation and its effect on viral immune response may also be restricted by antiviral innate factors, such as members of the conserved tripartite motif (TRIM) protein family [10].
TRIM proteins (TRIM5, TRIM22, TRIM25, and others) have recently emerged as important cellular factors for innate immunity and antiviral defense, and are induced by type I interferons (IFNs) [10-12]. For example, TRIM5 is documented to play a role in host defense by inhibiting the replication of some retroviruses (e.g., HIV-1) through its contact with the HIV-1 capsid protein [13]. Human TRIM22 is induced by type I IFNs, can bind to HIV-Gag protein, and can inhibit HIV-1 replication [14]. A non-synonymous SNP (His43Tyr) in the TRIM5 gene was recently found to be correlated with rubella vaccine antibody response [15] after having been earlier described to have functional effects [16,17]. Experiments with Sendai and Newcastle disease viruses demonstrated that the ubiquitin ligase TRIM25 is involved in the retinoic-acid-inducible gene-I (RIG-I) signaling pathway, which is important for antiviral immunity [18]. In turn, a recent measles vaccine study found that neutralizing antibody, IFN-γ Elispot, and cytokine (IFN-γ and IL-2) immune responses were associated with RIG-I gene polymorphisms [8]. Finally, the important role of TRIM25 in antiviral host defense (by inhibiting RING-mediated E3 ligase) and IFN-β production in response to the nonstructural protein 1 (NS1) of influenza A virus was recently described [11].
However, no information is available regarding the role of TRIM gene polymorphisms in MV vaccine-induced adaptive immune response. Therefore, the goal of our study was to examine associations between individual SNPs/haplotypes in the TRIM5, TRIM22, and TRIM25 genes and variations in humoral (neutralizing antibody) and CMI (IFN-γ Elispot and secreted cytokines) immunity in healthy children following measles vaccination.
2. Materials and Methods
2.1. Study subjects
Subject enrollment for this study has been previously described in detail [7,9,19,20]. Briefly, we enrolled 764 children (11 to 22 years of age) in Rochester, MN, who received two age-appropriate doses of measles vaccine (Merck). Of these, genotype-phenotype data were available for a total of 745 study subjects. Our study population was predominantly Caucasian (n=598), with 89 African-Americans. The Mayo Clinic Institutional Review Board approved the study and written informed consent and/or assent were obtained from each subject and/or guardian.
2.2. Antibody measurement
Specifics of the antibody assay for the study subjects have been previously published [7,9,19,20]. MV-specific neutralizing antibody levels were measured by using a fluorescence-based plaque reduction microneutralization test (PRMN, mIU/ml), as previously described [19,21]. The coefficient of variation (CV) for this assay in our laboratory was 5.7% [19].
2.3. Elispot assay
Details of measurement of the IFN-γ Elispot responses (Elispot kits from R&D Systems, Minneapolis, MN) have been previously published [7,20,22]. The intraclass correlation coefficients (ICCs) comparing the multiple observations per individual were 0.94 for the MV-stimulated values, and 0.85 for the unstimulated values [23].
2.4. Cytokine measurements
Details of the measurement of the IL-2, IL-6, IL-10, IFN-γ, and TNF-α by enzyme-linked immunosorbent assays (Elisa) in supernatants of cultured peripheral blood mononuclear cells (PBMC) stimulated with MV are nearly identical to those we previously published [7-9,20]. Briefly, the Edmonston B vaccine strain of MV was grown in Vero cells supplemented with 5 % heat-inactivated fetal calf serum (FCS, Hyclone, Logan, UT). The MV was titrated, aliquoted, and stored at −80°C in stocks of 6 × 10 7 pfu/ml. The multiplicity of infection (MOI) and incubation time for each cytokine were as follows: IL-2, MOI=0.5, 48 hours; IL-6, MOI=1.0, 72 hours; IL-10, MOI=0.5, 48 hours; IFN-γ, MOI=1.0, 72 hours; and TNF-α, MOI=1.0, 24 hours. Cytokine-specific ICCs ranged from 0.65 (IL-2, unstimulated values) to 0.94 (IL-6, MV-stimulated values) [23].
2.5. SNP selection and genotyping
The description of the tagging SNP selection approaches and genotyping methods for this study has been previously described and is nearly identical to those we previously published [7-9,20]. SNPs from three candidate genes encoding TRIM5 (n=19 SNPs), TRIM22 (n=4 SNPs), and TRIM25 (n=13 SNPs) molecules were selected. SNPs within candidate genes, 5 kb upstream and downstream for each gene, were chosen based on the linkage disequilibrium (LD) tagSNP selection algorithm [24] from the Hapmap Phase II (http://www.hapmap.org), Seattle SNPs (http://pga.mbt.washington.edu/), and NIEHS SNPs (http://egp.gs.washington.edu/), with SNP minor allele frequencies (MAF) ≥0.05, LD threshold of r2 ≥0.90, for the Caucasian sample and African-American sample separately, as previously described [7-9,20]. Thirty-six SNPs from the three candidate genes were included in the two custom Illumina GoldenGate SNP panels (Illumina Inc., San Diego, CA) for 1,536 and 768 SNPs as part of a larger measles vaccine immunogenetic study. All SNPs had an Illumina design score >0.4, and all DNA samples were genotyped following the manufacturer’s procedure.
2.6. Statistical methods
The statistical methods for this study are nearly identical to those used and published by our group for previous candidate SNP studies [8,9,20]. Assessments of cytokine secretion and IFN-γ Elispot responses resulted in multiple recorded values per outcome both prior to and after stimulation with MV. For descriptive purposes, a single response measurement per individual was obtained by subtracting the median of the unstimulated values from the median of the stimulated values. Assessments of antibody levels resulted in only one recorded value per individual.
Estimates of pair-wise linkage disequilibrium (LD) amongst SNP genotypes based on the r-squared statistic were obtained using Haploview software, version 3.32 [25]. SNP associations with immune response outcomes were evaluated using regression models. Simple linear regression was used for measles antibody levels. Repeated measures approaches were implemented for the cytokine secretion and Elispot variables, simultaneously modeling the multiple observed measurements and using an unstructured within-person variance-covariance matrix to account for within-subject correlations. This was achieved by including the genotype variable in the regression model, together with a variable representing stimulation status. The resulting genotype-by-stimulation status interaction was then tested for statistical significance. Tests of association assumed an ordinal (log-additive) SNP effect using simple tests for trend.
To further explore genomic regions containing statistically significant single-SNP effects, we performed post-hoc haplotype analyses. Posterior probabilities of all possible haplotypes for an individual, conditional on the observed genotypes, were estimated using an expectation-maximization (EM) algorithm [26]. This information was used to define haplotype design variables that estimated the number of each of the haplotypes carried by an individual. Analyses were performed on all resulting common haplotypes (those with an estimated frequency of greater than 1%) using a simple least squares linear regression approach for antibody levels and repeated measures approaches for the cytokine secretion and Elispot variables. Differences in immune response among common haplotypes were first assessed globally and simultaneously tested for statistical significance using a multiple degree-of-freedom test. Following these global tests, we examined individual haplotype effects. Each haplotype was included in a separate regression analysis, effectively comparing immune response levels for the haplotype of interest against all others combined. Due to phase ambiguity, haplotype-specific medians and inter-quartile ranges could not be calculated. Thus, descriptive summaries were represented using the corresponding t-statistics.
All of the association analyses adjusted for age at enrollment, race (only in combined analyses), gender, age at first and second measles vaccination, and cohort status. We used an inverse normal transformation for all cytokine secretion and Elispot outcome variables, and a log transformation for the antibody response measure in all formal tests to account for the skewed nature of the data. Due to the relatively large number of statistical tests, we supplemented all p-values with corresponding q-values based on the false discovery rate (FDR) literature [27,28]. Q-values are specific to each outcome variable, and were calculated based on results from the entire set of candidate SNPs plated on the two Illumina panels and passing QC. All statistical tests were two-sided and, unless otherwise indicated, all analyses were carried out using the SAS software system (SAS Institute, Inc., Cary, NC).
3. Results
The median (inter-quartile range/IQR) MV-specific antibody titers and IFN-γ Elispot counts for all subjects was 846 mIU/ml (41; 1772) and 36 spot-forming cells (SFC)/200,000 cells (12; 69), respectively. The median (IQR) MV-specific IL-2, IL-6, IL-10, IFN-γ, and TNF-α secretion levels was 38 pg/ml (21; 64), 366 pg/ml (249; 461), 18 pg/ml (11; 29), 67 pg/ml (35; 121), and 14 pg/ml (9; 19), respectively [6-9].
Genotype data were examined independently for the whole cohort (n=745), Caucasians (n=598), and African-Americans (n=89). With regard to antibody response, TRIM5 promoter SNP (rs7122620, p<0.02, q=0.84) demonstrated an association with MV-specific antibodies in the combined cohort and among Caucasians (Table 1). In addition, TRIM25 intronic SNP (rs205499, p<0.04, q=0.96) demonstrated an association with measles antibodies in the combined cohort and among African-Americans.
Table 1.
Associations between SNPs in the TRIM genes and measles-specific humoral and IFN-γ Elispot immune responses.
Gene | SNP ID | Location/ Function |
Genoty pea |
Na | Median (IQR)b |
p valuec | q value d |
---|---|---|---|---|---|---|---|
Antibody titer (mIU/ml) | |||||||
Combined cohort of subjects | |||||||
TRIM 5 |
rs712262 0 |
flanking_3U TR |
AA AG GG |
200 382 162 |
866 (391, 1685) 759 (402, 1762) 1086 (498, 1957) |
0.0169 | 0.84 |
TRIM 25 |
rs205499 | intron | GG GA AA |
465 236 36 |
931 (432, 1957) 787 (386, 1634) 599 (383, 1308) |
0.0233 | 0.84 |
Caucasian subgroup | |||||||
TRIM 5 |
rs712262 0 |
flanking_3U TR |
AA AG GG |
168 313 117 |
874 (396, 1608) 776 (423, 1750) 1163 (515, 2383) |
0.0126 | 0.75 |
African-American subgroup | |||||||
TRIM 25 |
rs205499 | intron | GG GA AA |
54 27 8 |
1227 (329, 2536) 477 (232, 928) 512 (363, 1333) |
0.0366 | 0.96 |
IFN-γ Elispot (SFC per 2 ×105 PBMC) | |||||||
Combined cohort of subjects | |||||||
TRIM 22 |
rs229184 1 |
flanking_5U TR |
AA AC CC |
598 100 9 |
34 (11, 66) 39 (21, 74) 35 (0, 105) |
0.0260 | 0.67 |
Caucasian subgroup | |||||||
TRIM 25 |
rs205498 | coding/non- synonymous |
AA AG GG |
320 199 34 |
32 (12,68) 43 (20,79) 34 (13,66) |
0.0259 | 0.71 |
TRIM 22 |
rs229184 1 |
flanking_5U TR |
AA AC CC |
477 82 4 |
35 (13, 69) 41 (22, 78) 102 (49,113) |
0.0092 | 0.71 |
African-American subgroup | |||||||
TRIM 5 |
rs122713 33 |
intron | AA AC CC |
61 24 2 |
26 (5, 47) 18 (4, 53) 21 (3, 39) |
0.0214 | 0.49 |
TRIM 25 |
rs205498 | coding/non- synonymous |
AA AG GG |
50 30 5 |
37 (6, 52) 11 (3, 30) 15 (1, 27) |
0.0254 | 0.51 |
TRIM 25 |
rs252599 6 |
intron | GG GC CC |
65 20 2 |
32 (7, 52) 7 (2, 23) 15 (0, 29) |
0.0019 | 0.37 |
TRIM 25 |
rs252599 2 |
intron | AA AG GG |
63 20 4 |
29 (5, 52) 10 (3, 37) 19 (5, 28) |
0.0034 | 0.37 |
TRIM 25 |
rs252599 3 |
intron | AA AG GG |
64 21 2 |
31 (7, 52) 9 (2, 26) 15 (0, 29) |
0.0036 | 0.37 |
TRIM 25 |
rs252599 4 |
intron | AA AC CC |
57 28 2 |
33 (7, 52) 11 (3, 28) 15 (0, 29) |
0.0096 | 0.45 |
A-Adenine, C-Cytosine, G-Guanine, FDR-false discovery rate, IFN-interferon, IQR-interquartile range, MMR-measles-mumps-rubella, SNP-single nucleotide polymorphism, LD-linkage disequilibrium, PBMC-peripheral blood mononuclear cells, SFC-spot-forming cells.
A total of 36 SNPs were examined; only those found to be statistically significant (P≤ 0.05) were included in the table.
Rs2525993, rs2525994 and rs2525996 are in LD (r2=0.95).
Values are presented as homozygous major allele/heterozygous/homozygous minor allele.
IQR values are median levels in mIU/ml, as measured by plaque reduction microneutralization assay, and at median levels in SFC per 2 × 105 PBMC as measured by IFN-γ Elispot.
Test for trend P-value from the repeated measures linear regression analysis (for IFN-γ Elispot) and ordinary least squares regression analysis (for antibody levels). The P-values are adjusted for age, gender, age at 1st and 2nd MMR and cohort status using linear regression analysis.
Corresponding q-values, adjusted for FDR.
With regard to cellular immune response, an increased carriage of a minor allele C for a promoter SNP rs2291841 in the TRIM22 gene in Caucasians was associated (and already identified in the combined cohort) with an allele dose-dependent increase in measles-specific IFN-γ Elispot counts (935 vs. 102 SFC per 2 × 105 PBMC, p=0.009, q=0.71) (Table 1). Pairwise LD analysis found a coding non-synonymous rs205498 (p=0.02, q=0.51) to be linked to rs2525993, rs2525994, rs2525996 and rs25259921 (r2≥0.56), located in the TRIM25 gene, which was correlated with differences in IFN-γ Elispot response in African-Americans.
With regard to MV-induced cytokine response, TRIM5 promoter SNP rs7122620 demonstrated an association with IL-2 secretion in the combined cohort (p=0.01, q=0.55) and among Caucasians (p=0.05, q=0.77) (Table 2). We identified three TRIM5 gene SNP associations (rs3824949, p=0.004, q=0.29; rs10769175; and rs7124435, p=0.03, q=0.41) with variations in IL-6 secretion in African-Americans. Further, in the combined cohort, five significant associations were discovered between SNPs in the TRIM25 gene (coding rs205498, p=0.02, q=0.91; intronic rs2525996, p=0.006, q=0.79; rs2525992, p=0.009, q=0.79; rs2525993, p=0.009, q=0.79; and rs2525994, p=0.01, q=0.81; r2≥0.97), and production of IL-10 in response to MV stimulation. In the African-American subgroup, six significant associations (p<0.05) were found between SNPs in the TRIM25 gene and IL-10 secretion. The presence of homozygous genotype AA for a promoter SNP (rs885002) of the TRIM22 gene on chromosome 11 was associated with a 17-fold increase in median IL-10 secretion levels (12 vs. 200 pg/ml, p=0.02, q=0.50), as compared to the heterozygous variants.
Table 2.
Associations between SNPs in the TRIM genes and measles-specific secreted cytokine immune responses.
Secreted cytokine |
Gene | SNP ID | Locatio n/ Functio n |
Gen otyp ea |
Na | Median, pg/ml (IQR)b |
p value c |
q valu ed |
---|---|---|---|---|---|---|---|---|
IL-2 | Combined cohort of subjects | |||||||
TRIM 5 |
rs712262 0 |
flanking _3UTR |
AA AG GG |
198 378 163 |
38.3 (19.5, 64.4) 37.2 (19.8, 65.1) 37.8 (23.5, 60.8) |
0.015 2 |
0.55 | |
Caucasian subgroup | ||||||||
TRIM 5 |
rs712262 0 |
flanking _3UTR |
AA AG GG |
166 311 117 |
41.5 (21.1, 66.0) 41.9 (21, 67.0) 42.3 (26.6, 64.9) |
0.046 9 |
0.77 | |
African-American subgroup | ||||||||
None | ||||||||
IL-6 | Combined cohort of subjects | |||||||
TRIM 5 |
rs118205 02 |
flanking _3UTR |
CC CG GG |
308 333 96 |
376.3 (254.3, 478.3) 351.3 (245.8, 454.6) 305.1 (237.4, 417.9) |
0.028 9 |
0.53 | |
Caucasian subgroup | ||||||||
TRIM 5 |
rs794339 7 |
flanking _3UTR |
CC CG GG |
212 277 102 |
340.7 (222.8, 458.2) 361.3 (269.6, 461.4) 363.4 (240.2, 458.3) |
0.032 3 |
0.99 | |
African-American subgroup | ||||||||
TRIM 5 |
rs382494 9 |
UTR | GG GC CC |
8 31 49 |
379.8 (340.9, 542.7) 308.2 (233.4, 503.6) 318.4 (261.8, 403.1) |
0.003 7 |
0.29 | |
TRIM 5 |
rs107691 75 |
intron | GG GA AA |
22 46 20 |
347.7 (295.5, 422.2) 340.9 (238.7, 461.5) 282.0 (12.9, 387.7) |
0.031 3 |
0.41 | |
TRIM 5 |
rs712443 5 |
intron | AA AG GG |
71 15 2 |
340.2 (262.5, 440.6) 277.9 (124.0, 441.3) 191.7 (18.4, 364.9) |
0.035 1 |
0.44 | |
IL-10 | Combined cohort of subjects | |||||||
TRIM 25 |
rs252599 6 |
intron | GG GC CC |
427 273 40 |
17.0 (10.3, 28.4) 19.4 (12.1, 28.2) 20.0 (14.3, 35.4) |
0.005 7 |
0.79 | |
TRIM 25 |
rs252599 2 |
intron | AA AG GG |
426 272 41 |
17.0 (10.3, 28.5) 19.6 (12.3, 28.2) 19.0 (14.2, 29.7) |
0.009 5 |
0.79 | |
TRIM 25 |
rs252599 3 |
intron | AA AG GG |
428 273 39 |
17.0 (10.3, 28.2) 19.5 (12.3, 28.3) 19.0 (14.2, 32.3) |
0.009 7 |
0.79 | |
TRIM 25 |
rs252599 4 |
intron | AA AC CC |
419 281 39 |
17.0 (10.4, 28.4) 19.4 (12.1, 28.3) 19.0 (14.2, 32.3) |
0.010 8 |
0.81 | |
TRIM 25 |
rs205498 | coding | AA AG GG |
413 273 40 |
17.4 (10.5, 28.5) 19.4 (12.1, 28.3) 18.5 (13.9, 31.0) |
0.023 5 |
0.91 | |
Caucasian subgroup | ||||||||
TRIM 25 |
rs252599 6 |
intron | GG GC CC |
335 222 37 |
17.5 (11.7, 29.0) 19.6 (12.3, 28.2) 21.6 (14.5, 38.5) |
0.032 8 |
0.74 | |
TRIM 25 |
rs205498 | coding | AA AG GG |
338 211 34 |
17.6 (11.5, 28.9) 19.9 (12.3, 28.4) 21.8 (14.9, 38.5) |
0.043 3 |
0.78 | |
African-American subgroup | ||||||||
TRIM 22 |
rs885002 | flanking _5UTR |
GG GA AA |
70 17 1 |
11.7 (7.4, 21.2) 18.3 (8.5, 30.6) 200.4 (200.4, 200.4) |
0.020 2 |
0.51 | |
TRIM 25 |
rs990975 0 |
intron | GG GA AA |
61 23 4 |
11.0 (7.4, 19.2) 18.3 (9.5, 35.8) 23.9 (12.7, 29.9) |
0.030 0 |
0.51 | |
TRIM 25 |
rs252599 2 |
intron | AA AG GG |
64 20 4 |
12.8 (7.6, 25.9) 13.3 (7.3, 24.9) 15.7 (11.4, 21.0) |
0.035 6 |
0.52 | |
TRIM 25 |
rs722520 5 |
intron | GG GA AA |
53 28 7 |
11.0 (7.0, 19.2) 15.2 (8.6, 33.5) 21.2 (12.3, 33.1) |
0.035 7 |
0.52 | |
RIM 25 |
rs252599 6 |
intron | GG GC CC |
66 20 2 |
12.8 (7.8, 23.9) 13.2 (7.3, 31.8) 15.7 (13.3, 18.1) |
0.041 7 |
0.53 | |
TRIM 25 |
rs252599 7 |
intron | AA AC CC |
65 22 1 |
13.6 (8.2, 25.6) 8.8 (5.1, 20.6) 144.9 (144.9, 144.9) |
0.042 8 |
0.53 | |
TRIM 25 |
rs252599 3 |
intron | AA AG GG |
65 21 2 |
12.8 (7.8, 23.9) 12.1 (7.4, 28.6) 15.7 (13.3, 18.1) |
0.047 8 |
0.54 | |
IFN-γ | Combined cohort of subjects | |||||||
TRIM 25 |
rs169530 | intron | GG GA AA |
499 219 19 |
71.8 (35.3, 125.1) 60.7 (35., 108.1) 30.2 (14.8, 108.8) |
0.049 5 |
0.57 | |
Caucasian subgroup | ||||||||
TRIM 25 |
rs169530 | intron | GG GA AA |
383 191 18 |
75.0 (38.0, 130.6) 60.7 (35.1, 108.1) 36.9 (14.8, 108.8) |
0.008 5 |
0.26 | |
TRIM 25 |
rs205499 | intron | GG GA AA |
363 198 26 |
74.2 (37.3, 126.6) 64.9 (35.7, 115.2) 42.5 (18.9, 108.8) |
0.034 5 |
0.46 | |
African-American subgroup | ||||||||
TRIM 25 |
rs252599 7 |
intron | AA AC CC |
65 22 1 |
60.6 (30.2, 115.4) 56.9 (19.6, 65.1) 205.4 (205.4, 205.4) |
0.006 0 |
0.36 | |
TRIM 25 |
rs252599 8 |
flanking _3UTR |
GG GA AA |
30 44 14 |
52.1 (30.2, 116.5) 60.7 (26.8, 104.3) 60.4 (19.6, 84.6) |
0.034 1 |
0.56 | |
TRIM 5 |
rs374099 4 |
intron | AA AC CC |
69 19 0 |
57.3 (26.0, 103.4) 60.6 (42.5, 105.2) --- |
0.017 5 |
0.55 | |
TRIM 5 |
rs374099 5 |
coding | GG GA AA |
51 34 3 |
60.1 (30.1, 103.4) 59.8 (19.0, 105.2) 6.2 (−211.9, 457.5) |
0.020 5 |
0.55 | |
TRIM 5 |
rs116015 07 |
coding | CC CA AA |
86 2 0 |
59.5 (26.1, 103.4) 118.4 (17.9, 219) --- |
0.043 7 |
0.56 | |
TNF-α | Combined cohort of subjects | |||||||
TRIM 22 |
rs885002 | flanking _5UTR |
GG GA AA |
668 61 3 |
13.5 (9.2, 18.8) 13.9 (9.1, 18.8) 47.0 (7.8, 71.2) |
0.028 7 |
0.92 | |
Caucasian subgroup | ||||||||
TRIM 5 |
rs712443 5 |
intron | AA AG GG |
561 24 2 |
13.7 (9.5, 18.8) 15.2 (11.8, 20.0) 27.4 (7.8, 47.0 ) |
0.032 7 |
1 | |
TRIM 22 |
rs885002 | flanking _5UTR |
GG GA AA |
550 35 2 |
13.7 (9.5, 18.8) 15.3 (9.8, 20.0) 27.4 (7.8, 47.0) |
0.040 5 |
1 | |
African-American subgroup | ||||||||
None |
no subject for that genotype, A-Adenine, C-Cytosine, G-Guanine, FDR-false discovery rate, IQR-interquartile range, MMR-measles-mumps-rubella, SNP-single nucleotide polymorphism, LD-linkage disequilibrium.
A total of 36 SNPs were examined; only those found to be statistically significant (P≤ 0.05) were included in the table.
Rs2525993, rs2525994 and rs2525996 are in LD (r2=0.95).
Values are presented as homozygous major allele/heterozygous/homozygous minor allele.
IQR, interquartile range, values are median levels in pg/ml as measured by Elisa.
Test for trend P-value from the analysis of covariance adjusting for age, gender, race and age of immunization. The P-values are adjusted for age, gender, race (when necessary), age at 1st and 2nd MMR and cohort status using repeated measures linear regression analysis.
Corresponding q-values, adjusted for FDR.
The minor allele variant of a specific SNP (rs169530) in the TRIM25 gene was associated with a two-fold decrease in IFN-γ responses in the combined cohort (p=0.05, q=0.05) and among Caucasians (p=0.008, q=0.26). A coding TRIM5 variant (rs11601507, V112F, p=0.04, q=0.56) exhibited an association with IFN-γ secretion among African-Americans. Pair-wise LD analysis found another coding rs3740995 to be linked to rs3740994 located in the TRIM5 gene (r2=0.4) that was associated with an allele dose-dependent decrease in IFN-γ production (6 vs. 60 pg/ml, p=0.02, q=0.55) among African-Americans. The observed MAF, for both the Caucasian and African-American subgroups, for all SNPs of interest are shown in a Supplementary Table 1.
Lastly, a haplotype analysis identified a significant association between IFN-γ Elispot responses and a TRIM25 haplotype among African-Americans (global p-value=0.03) (Table 3). Specifically, the TRIM25 haplotype AAAGGAAAGGAGT (rs11540270/ rs2525998/rs2525997/rs205499/rs2525996/rs2525994/rs2525993/rs205498/r s7225205/rs9909750/rs2525992/rs169530/rs11869863) was associated with lower IFN-γ Elispot counts (t-statistic −2.32, p=0.02) (Table 3).
Table 3.
TRIM25 gene haplotype associations with IFN-γ Elispot response to measles vaccine in African-Americans.
Locus TRIM25 haplotype |
Allelea AAAGGAAAGGA GT |
Frequenc y 0.148 |
Test statistic (haplotyp e t statistic) −2.32 |
Allele p valueb 0.023 |
Global p value 0.028 |
---|---|---|---|---|---|
| |||||
AACGGAAAGGA GT |
0.100 | 1.52 | 0.133 | ||
AGAGGAAAAAA GT |
0.106 | 1.66 | 0.102 |
TRIM25 genetic variants from left to right: rs11540270, rs2525998, rs2525997, rs205499, rs2525996, rs2525994, rs2525993, rs205498, rs7225205, rs9909750, rs2525992, rs169530, rs11869863.
Statistically significant p values (P≤0.05) are highlighted in bold.
Haplotype effects are estimated using the haplotype t-statistic, which reflects the direction and relative magnitude of the estimated haplotypic effect on the cytokine measure. Allele P-values compare individual haplotypes to all other haplotypes combined.
One degree-of-freedom ordinal p value from the repeated measures regression analysis adjusting for age, gender, race, age at 1st and 2nd MMR vaccine and cohort status.
4. Discussion
This study reports significant associations between polymorphisms in the innate ubiquitin ligase TRIM genes and adaptive immune responses (humoral and CMI) to measles vaccine. Human TRIM5, TRIM22, and TRIM25 molecules belong to the TRIM protein family and contain three signature domains: RING, B-box, and coiled-coil domains [10]. A number of TRIM proteins are inducible by IFNs and have a role in innate immunity to control viral replication [10]. It has been proposed that TRIM molecules interact with viral proteins, enabling viruses to escape recognition by host immunity and evade the host IFN system [11]. However, no detailed information regarding measles-induced immune response has been available for any of these (TRIM5, 22, and 25) genetic loci.
In this study, we observed significant associations between TRIM gene SNPs and variations in MV-induced CMI responses, such as IFN-γ Elispot and secreted cytokines. We identified only two polymorphisms (TRIM5 rs7122620 and TRIM25 rs205499) that were associated with differences in measles-specific antibody levels among both Caucasians and African-Americans, respectively. The same promoter TRIM5 rs7122620 was also associated with IL-2 secretion in Caucasians, though the exact mechanism by which these SNPs affect immune response is currently unclear. Of importance, TRIM5 genetic coding functional variants (rs3740996 and rs10838525) [16,17] were previously found to be associated with production of rubella-specific cytokines (TNF-α, IL-2, and GM-CSF) [29]. The involvement of genetic variants within the innate RIG-I gene (through TRIM25-mediated ubiquitination) in measles vaccine-induced immunity has recently been reported [8,18].
Five SNPs, including likely functional coding non-synonymous rs205498 (Pro358Leu) belonging to the TRIM25 gene, were associated with IFN-γ Elispot responses in the African-American subgroup. As previously indicated, TRIM25 is a RING-finger E3 ubiquitin protein and is crucial for RIG-I-induced antiviral function [18]. It is plausible that a non-synonymous coding SNP rs205498, Pro358Leu, that is in close LD with other genetic variants, may affect the biological function of the TRIM25 protein. The effects of these SNPs were also observed at the multigenic (haplotype) level, where haplotype analysis showed a significant association between the TRIM25 AAAGGAAAGGAGT haplotype and lower measles-specific IFN-γ Elispot response. This suggests a potential role of TRIM25 gene locus/variants in the development of MV-induced adaptive cellular immunity and the importance of taking ethnicity into account in genetic studies such as this. Clearly, further studies designed to clarify the functional properties of these SNPs are needed.
We also identified several polymorphisms in the TRIM5, TRIM22 and TRIM25 genes that were associated with measles-specific cytokine responses (IL-2, IL-6, IL-10, IFN-γ, and TNF-α). Specifically, our data offer evidence for TRIM25 SNP and haplotype associations with IFN-γ Elispot counts, and IFN-γ and IL-10 secretion levels across Caucasian and African-American subgroups. Additionally, we identified a coding TRIM25 SNP rs205498 that appears to influence secretion of IL-10 in the combined cohort and among Caucasians. Human IL-10 is known to stimulate antibody-producing plasma cells and increase production of specific antibodies [30]. Particularly interesting are two significant associations in African-Americans that were discovered between coding polymorphisms in the TRIM5 (rs3740995 and rs11601507) gene and production of IFN-γ in response to MV stimulation; however, there were no subjects homozygous for the rs11601507 (V112F) AA genotype to observe a difference in IFN-γ secretion between the genotypes. One could speculate that these coding polymorphisms may affect TRIM5 protein structure and therefore antiviral function (IFN-γ production) in natural killer (NK) cells, CD4+ and CD8+ cytotoxic T-cells, and B-cells.
The limitations of our study include the relatively small sample of African-Americans and the potential for false-positive associations. We examined associations between 36 SNPs, seven measures of immune response, and across three racial groups, for 756 statistical tests. Hence, multiple testing issues are a legitimate concern, and the resulting modest false discovery rate q-values reflect some amount of uncertainty in the associations. Nevertheless, we observed a higher number of significant associations than we would anticipate by chance alone (45 vs. 38 significant associations assuming independent tests for association and a type I error rate of 0.05), suggesting that some of these associations are real. Due to the number of statistical tests run, corresponding q-values were modest; thus, additional independent studies are necessary to replicate our findings and to examine the functional consequences of these associations.
In conclusion, for the first time, we have shown that specific polymorphisms/haplotypes in the antiviral TRIM5, TRIM22 and TRIM25 genes are associated with variations in humoral and CMI responses to measles vaccine. Our findings point to polymorphisms in the innate antiviral TRIM genes as critical elements controlling the downstream adaptive immune responses to measles vaccine. Our data may also suggest racial genetic variations in immune responses to measles vaccine, which will require further studies.
Supplementary Material
Acknowledgments
We thank the Mayo Clinic Vaccine Research Group staff and subjects who participated in our studies. We thank Caroline L. Vitse for her help with this manuscript. This work was supported by NIH grants AI33144, AI48793 (which recently received a MERIT Award), and was made possible by the Rochester Epidemiology Project (Grant Number R01 AG034676 from the National Institute on Aging).
Abbreviations
- MMR
measles/mumps/rubella
- MV
measles virus
- CMI
cell-mediated immunity
- LD
linkage disequilibrium
- SNP
single-nucleotide polymorphism
- TRIM
tripartite motif
- IQR
interquartile range
- FDR
false discovery rate
- EM
expectation-maximization
- MAF
minor allele frequency
- IFN
interferon
- PBMC
peripheral blood mononuclear cells
- SFC
spot-forming cells
Footnotes
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Conflict of interest Dr. Poland is the chair of a safety evaluation committee for novel non-measles vaccines undergoing clinical studies by Merck Research Laboratories. Dr. Poland offers consultative advice on new vaccine development to Merck & Co. Inc., Avianax, TheraClone Sciences, Liquida Technologies Inc., Dynavax, Sanofi Pasteur, Novartis Vaccines and Therapeutics and PAXVAX Inc. This research has been reviewed by the Mayo Clinic Conflict of Interest Review Board and was conducted in compliance with Mayo Clinic Conflict of Interest policies.
References
- [1].Tan PL, Jacobson RM, Poland GA, Jacobsen SJ, Pankratz SV. Twin studies of immunogenicity - determining the genetic contribution to vaccine failure. Vaccine. 2001;19:2434–2439. doi: 10.1016/s0264-410x(00)00468-0. [DOI] [PubMed] [Google Scholar]
- [2].Poland GA, Ovsyannikova IG, Jacobson RM. Vaccine immunogenetics: bedside to bench to population. Vaccine. 2008;26:6183–6188. doi: 10.1016/j.vaccine.2008.06.057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Poland GA, Ovsyannikova IG, Jacobson RM, Smith DI. Heterogeneity in vaccine immune response: the role of immunogenetics and the emerging field of vaccinomics. Clin Pharmacol Ther. 2007;82:653–664. doi: 10.1038/sj.clpt.6100415. [DOI] [PubMed] [Google Scholar]
- [4].Ovsyannikova IG, Ryan JE, Vierkant RA, Pankratz VS, Jacobson RM, Poland GA. Immunologic significance of HLA class I genes in measles virus-specific IFN-gamma and IL-4 cytokine immune responses. Immunogenetics. 2005;57:828–836. doi: 10.1007/s00251-005-0061-6. [DOI] [PubMed] [Google Scholar]
- [5].Ovsyannikova IG, Jacobson RM, Ryan JE, Vierkant RA, Pankratz VS, Jacobsen SJ, Poland GA. HLA class II alleles and measles virus-specific cytokine immune response following two doses of measles vaccine. Immunogenetics. 2005;56:798–807. doi: 10.1007/s00251-004-0756-0. [DOI] [PubMed] [Google Scholar]
- [6].Ovsyannikova IG, Pankratz VS, Vierkant RA, Jacobson RM, Poland GA. Consistency of HLA associations between two independent measles vaccine cohorts: a replication study. Vaccine. 2012;30:2146–2152. doi: 10.1016/j.vaccine.2012.01.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Ovsyannikova IG, Haralambieva IH, Vierkant RA, O’Byrne MM, Jacobson RM, Poland GA. The association of CD46, SLAM, and CD209 cellular receptor gene SNPs with variations in measles vaccine-induced immune responses-A replication study and examination of novel polymorphisms. Hum Hered. 2011;72:206–223. doi: 10.1159/000331585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [8].Haralambieva IH, Ovsyannikova IG, Umlauf BJ, Vierkant RA, Pankratz SV, Jacobson RM, Poland GA. Genetic polymorphisms in host antiviral genes: associations with humoral and cellular immunity to measles vaccine. Vaccine. 2011;29:8988–8997. doi: 10.1016/j.vaccine.2011.09.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Haralambieva IH, Ovsyannikova IG, Kennedy RB, Vierkant RA, Pankratz SV, Jacobson RM, Poland GA. Associations between single nucleotide polymorphisms and haplotypes in cytokine and cytokine receptor genes and immunity to measles vaccination. Vaccine. 2011;29:7883–7895. doi: 10.1016/j.vaccine.2011.08.083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Nisole S, Stoye JP, Saib A. TRIM family proteins: retroviral restriction and antiviral defence. Nat Rev Microbiol. 2005;3:799–808. doi: 10.1038/nrmicro1248. [DOI] [PubMed] [Google Scholar]
- [11].Gack MU, Albrecht RA, Urano T, Inn KS, Huang IC, Carnero E, Farzan M, Inoue S, Jung JU, Garcia-Sastre A. Influenza A virus NS1 targets the ubiquitin ligase TRIM25 to evade recognition by the host viral RNA sensor RIG-I. Cell Host Microbe. 2009;5:439–449. doi: 10.1016/j.chom.2009.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [12].Johnson WE, Sawyer SL. Molecular evolution of the antiretroviral TRIM5 gene. Immunogenetics. 2009;61:163–176. doi: 10.1007/s00251-009-0358-y. [DOI] [PubMed] [Google Scholar]
- [13].Grutter MG, Luban J. TRIM5 structure, HIV-1 capsid recognition, and innate immune signaling. Curr Opin Virol. 2012;2:142–150. doi: 10.1016/j.coviro.2012.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Barr SD, Smiley JR, Bushman FD. The interferon response inhibits HIV particle production by induction of TRIM22. PLoS Pathog. 2008;4:e1000007. doi: 10.1371/journal.ppat.1000007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Ovsyannikova IG, Haralambieva IH, Dhiman N, O’Byrne MM, Pankratz VS, Jacobson RM, Poland GA. Polymorphisms in the vitamin A receptor and innate immunity genes influence the antibody response to rubella vaccination. J Infect Dis. 2010;201:207–213. doi: 10.1086/649588. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [16].Sawyer SL, Wu LI, Akey JM, Emerman M, Malik HS. High-frequency persistence of an impaired allele of the retroviral defense gene TRIM5alpha in humans. Curr Biol. 2006;16:95–100. doi: 10.1016/j.cub.2005.11.045. [DOI] [PubMed] [Google Scholar]
- [17].van Manen D, Rits MA, Beugeling C, van Dort K, Schuitemaker H, Kootstra NA. The effect of Trim5 polymorphisms on the clinical course of HIV-1 infection. PLoS Pathog. 2008;4:e18. doi: 10.1371/journal.ppat.0040018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Gack MU, Shin YC, Joo CH, Urano T, Liang C, Sun L, Takeuchi O, Akira S, Chen Z, Inoue S, Jung JU. TRIM25 RING-finger E3 ubiquitin ligase is essential for RIG-I-mediated antiviral activity. Nature. 2007;446:916–920. doi: 10.1038/nature05732. [DOI] [PubMed] [Google Scholar]
- [19].Haralambieva IH, Ovsyannikova IG, O’Byrne M, Pankratz VS, Jacobson RM, Poland GA. A large observational study to concurrently assess persistence of measles specific B-cell and T-cell immunity in individuals following two doses of MMR vaccine. Vaccine. 2011;29:4485–4491. doi: 10.1016/j.vaccine.2011.04.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Ovsyannikova IG, Haralambieva IH, Vierkant RA, Pankratz VS, Poland GA. The role of polymorphisms in Toll-like receptors and their associated intracellular signaling genes in measles vaccine immunity. Hum Genet. 2011;130:547–561. doi: 10.1007/s00439-011-0977-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Haralambieva IH, Ovsyannikova IG, Vierkant RA, Poland GA. Development of a novel efficient fluorescence-based plaque reduction microneutralization assay for measles immunity. Clin Vaccine Immunol. 2008;15:1054–1059. doi: 10.1128/CVI.00008-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [22].Ryan JE, Ovsyannikova IG, Poland GA. Detection of measles virus-specific interferon-gamma-secreting T-cells by ELISPOT. Methods Mol Biol. 2005;302:207–218. doi: 10.1385/1-59259-903-6:207. [DOI] [PubMed] [Google Scholar]
- [23].Ovsyannikova IG, Haralambieva IH, Vierkant RA, O’Byrne MM, Jacobson RM, Poland GA. Effects of vitamin A and D receptor gene polymophisms/haplotypes on immune responses to measles vaccine. Pharmacogenetics and Genomics. 2012;22:20–31. doi: 10.1097/FPC.0b013e32834df186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [24].Carlson CS, Eberle MA, Rieder MJ, Yi Q, Kruglyak L, Nickerson DA. Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium. Am J Hum Genet. 2004;74:106–120. doi: 10.1086/381000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005;21:263–265. doi: 10.1093/bioinformatics/bth457. [DOI] [PubMed] [Google Scholar]
- [26].Schaid DJ, Rowland CM, Tines DE, Jacobson RM, Poland GA. Score tests for association between traits and haplotypes when linkage phase is ambiguous. Am J Hum Genet. 2002;70:425–434. doi: 10.1086/338688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Storey JD. A direct approach to false discovery rates. J R Statist Soc B. 2002;64:479–498. [Google Scholar]
- [28].Storey JD, Tibshirani R. Statistical significance for genomewide studies. Proc Natl Acad Sci U S A. 2003;100:9440–9445. doi: 10.1073/pnas.1530509100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Ovsyannikova IG, Dhiman N, Haralambieva IH, Vierkant RA, O’Byrne MM, Jacobson RM, Poland GA. Rubella vaccine-induced cellular immunity: evidence of associations with polymorphisms in the Toll-like, vitamin A and D receptors, and innate immune response genes. Hum Genet. 2010;127:207–221. doi: 10.1007/s00439-009-0763-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Fiorentino DF, Zlotnik A, Vieira P, Mosmann TR, Howard M, Moore KW, O’Garra A. IL-10 acts on the antigen-presenting cell to inhibit cytokine production by Th1 cells. J Immunol. 1991;146:3444–3451. [PubMed] [Google Scholar]
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