ARTICLE |
a Department of Pediatrics, Erasmus MC-Sophia Children's Hospital, University Medical Center, Rotterdam, Netherlands
b Department of Pediatrics, Spaarne Hospital Hoofddorp, Hoofddorp, Netherlands
c Department of Pediatric Immunology, University Medical Center Utrecht, Utrecht, Netherlands
d Department of Medical Statistics, Leiden University Medical Center, Leiden, Netherlands
e Department of Pediatrics, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
| ABSTRACT |
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PATIENTS AND METHODS. DNA samples from 348 children with
2 acute otitis media episodes, who were participating in a randomized, controlled vaccination trial, and 463 healthy adult controls were included. Polymorphisms in TNFA, IL1B, IL4, IL6, IL10, IL8, NOS2A, C1INH, PARP, TLR2, and TLR4 were genotyped. Genotype distributions in children with recurrent acute otitis media were compared with those in controls. Within the patient group, the number of acute otitis media episodes before vaccination and the clinical and immunologic response to pneumococcal conjugate vaccinations were analyzed.
RESULTS. The IL6-174 G/G genotype was overrepresented in children with acute otitis media when compared with controls. In the patient group, TNFA promoter genotypes –238 G/G and –376 G/G and the TLR4 299 A/A genotype were associated with an otitis-prone condition. Furthermore, lower specific anticapsular antibody production after complete vaccination was observed in patients with the TNFA-238 G/G genotype or TNFA-863 A allele carriage. Finally, the IL10-1082 A/A genotype contributed to protection from the recurrence of acute otitis media after pneumococcal vaccination.
CONCLUSIONS. Variation in innate immunoresponse genes such as TNFA-863A, TNFA-376G, TNFA-238G, IL10-1082 A, and IL6-174G alleles in the promoter sequences may result in altered cytokine production that leads to altered inflammatory responses and, hence, contributes to an otitis-prone condition.
Key Words: genotype-phenotype correlation human cytokines inflammation otitis media
Abbreviations: AOM—acute otitis media TNFA—tumor necrosis factor A IL—interleukin NOS2A—inducible nitric oxide synthase C1INH—complement component inhibitor-1 PARP—poly(ADP-ribose) polymerase TLR—Toll-like receptor SNP—single-nucleotide polymorphism OR—odds ratio rs—reference SNP IgG—immunoglobulin G
Acute otitis media (AOM) is the most common bacterial infection in children. Overall, 10% to 15% of all children suffer from
4 AOM episodes per year, which causes a great disease burden.1 Genetic polymorphisms in immunoresponse genes are known to influence susceptibility to and severity of infectious diseases. For example, allelic variations in TNFA (tumor necrosis factor A), IL1B (interleukin 1B), and IL6 have been associated with meningococcal infection.2 Although cytokines and other inflammatory mediators are also involved in the pathogenesis of otitis media, the role of polymorphisms in immunoresponse genes in recurrent AOM has been relatively unexplored thus far. Increased expression of TNF-
, IL-1β, IL-6, and IL-10 was observed during experimental otitis media in animals.3,4 Therefore, in a common disease such as otitis media, genetic variations may lead to altered inflammatory responses and an otitis-prone condition. For instance, bacterial endotoxin is recognized by several Toll-like receptors (TLRs), which in turn stimulate TNF-
production, thus affecting numerous other pathways such as cytokine production, immunoglobulin responses, and mucin production.5–8 Remarkably, IL-1β, IL-6, and TNF-
levels in nasopharyngeal secretions were found to be lower in children with recurrent otitis media than in healthy children.9
The influence of genetically determined variations on otitis media can be illustrated by twin studies, which have shown a heritability of 57% for acute ear infections and 72% for chronic ear infections.10–14 Correlation for recurrent otitis media is higher in monozygotic twins (65%–71%) compared with dizygotic twins (25%–34%).15 Streptococcus pneumoniae is an important pathogen in otitis media and is involved in at least 20% to 40% of all cases.16–18 Hence, genetic polymorphisms that influence recurrence of otitis media may also be related to response to pneumococcal antigens.
The effect of polymorphisms may result, for instance, from altered expression levels or altered function caused by amino acid substitutions. Variations in immunoresponse genes such as IL10, IL6, and IL4 have been associated with altered cytokine expression levels.19–21 An altered function caused by amino acid substitutions has been reported for polymorphisms in TLR4 and poly(ADP-ribose) polymerase (PARP).22,23 The PARP 762A variant was found recently to be associated with reduced activity after H2O2 exposure, which is known to be present in inflammation.23 Other polymorphisms were selected in this study because of previous associations with infectious or inflammatory diseases such as the IL8 C781T polymorphism, which was reported recently to be associated with bronchiolitis caused by the respiratory syncytial virus.24
In this study, we investigated whether polymorphisms in selected immunoresponse genes may contribute to the recurrence of otitis media and to clinical and immunologic response to pneumococcal vaccination.
| MATERIALS AND METHODS |
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2 AOM episodes in the preceding year. The number of AOM episodes before vaccination was based on both parental report (AOM was defined as having
1 of these symptoms: acute earache, new-onset otorrhea, irritability, and fever) and clinical information of the diagnosis by a physician. Children who did not have AOM episodes were not included, because they were not likely to benefit from vaccination. In the present study cohort, 122 children suffered from 2 to 3 otitis media episodes, whereas 226 children suffered from
4 episodes (defined as an otitis-prone condition) (Table 1).26 Children received either pneumococcal vaccinations (n = 168) or control vaccines (ie, hepatitis A [2 years or older] or hepatitis B [younger than 2 years; n = 180 vaccines]). In the pneumococcal vaccine group, 1 dosage of 7-valent conjugate vaccine (Prevnar; Wyeth, Rochester, NY) was administered to children 2 to 7 years of age, whereas 2 dosages were given with a 1-month interval to children of 1 to 2 years of age. In both groups, this procedure was followed after 6 months by 1 dose of 23-valent polysaccharide vaccine (Pneumune, Wyeth). Childrens' progress was followed until 18 months after completion of the vaccine scheme to check for the recurrence of physician-diagnosed AOM.25
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3.2 AOM episodes is expected in childhood.26 Children aged 0 to 13 years had an estimated number of 120 episodes of physician-diagnosed AOM per 1000 person-years in the Netherlands in the period 1995–2003.27 This infers that controls will have experienced, on average, fewer AOM episodes per year than the patients.
Experimental Procedures
Genotyping
Single base extension analysis was used to genotype inducible nitric oxide synthase (NOS2A) S608L (reference single-nucleotide polymorphism [rs] 2297518), PARP V762A (rs1136410), complement component inhibitor-1 (C1INH), V480M (rs4926), IL4 C-524T (rs2243250), IL10 G-1082A (rs1800896), IL10 C-819T (rs3021097), IL1B C-31T (rs1143627), TNFA A-863C (rs1800630), TNFA T-857C (rs1799724), TNFA G-376A (rs3093659), TNFA G-308A (rs1800629), TNFA G-238A (rs361525), IL6 G-174C (rs1800795), IL8 C781T (rs2227306), TLR4 D299G (rs4986790), and TLR4 T399I (rs4986791) (www.ncbi.nlm.nih.gov/SNP). In short, the genomic region of interest was amplified by using polymerase chain reaction. After purification, a single base extension was performed by using a primer ending 1 nucleotide before the single-nucleotide polymorphism (SNP) location. Up to 7 SNPs were analyzed in 1 multiplex assay. A poly-T tail attached to the primer combined with the use of a Liz size marker served to distinguish SNPs in the multiplex analysis (Tables 2 and 3). The TLR2 R753Q polymorphism (rs5743708) was determined by using Taqman analysis with primers TLR2-753F CCATTCCCCAGCGCTTCT and TLR2-753R CCAGGTAGGTCTTGGTGTTCATT and probes TLR2-753V1 VIC-AAGCTGCAGAAGAT and TLR2-753M1 FAM-AAGCTGCGGAAGAT. A subset of polymerase chain reaction samples was sequenced to confirm genotypes. All genotypes were annotated independently by 2 investigators who were blinded to the clinical data.
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2 AOM episodes, a blood sample was taken for immunologic assessment before and 1 month after complete vaccination. Prevaccination and postvaccination immunoglobulin G (IgG) levels to the 7 pneumococcal serotypes included in the conjugate vaccine were measured in serum by enzyme-linked immunosorbent assay as described previously.28,29
Statistical Analysis
Statistical analysis was performed by using SPSS 11.0 (SPSS Inc, Chicago, IL) and Stata 8 (Stata Corp, College Station, TX). Verification of Hardy-Weinberg equilibrium of genotypes was performed by using the
2 test (1 degree of freedom). Binomial variables were analyzed by using Pearson's
2 test (2 degrees of freedom) or Fisher's exact test when appropriate. Continuous variables were compared for the different genotypes by using the Mann-Whitney U test. When necessary, variables were log-transformed to obtain an approximately normal distribution.
A comparison of genotype frequencies was made between patients and the reference control group. In addition, genotype frequencies in children who suffered from 2 to 3 episodes per year were compared with those of patients who had
4 episodes after correction for gender, number of siblings, age, log-transformed age at the time of the first AOM episode, and the interaction term between the latter 2 by using binary logistic regression. Log-transformed age at the first AOM episode was included in the analysis, because an early first infection predisposes to a second AOM episode. A child who has had a first AOM episode at a younger age has had a longer period of time to develop multiple AOM episodes than a child of the same age who suffered from the first infection at a later age. Because the interaction between the age at the first AOM episode and the age of inclusion was significant, it was accounted for in the analyses. Log-transformed antibody levels were compared between individuals with different genotypes. Age, number of AOM episodes (2–3 vs
4), and the number of conjugate vaccinations (1 or 2) were included in the analyses that assessed the effect of the different genotypes. Only when genotypes were consistently associated with different serotype-specific antibodies was this association considered relevant.
To determine the involvement of SNPs on the occurrence of AOM after complete vaccination, negative binomial regression was used, because it allows for extra variation (overdispersion). The time of follow-up was measured from 1 month after complete vaccination to the end of the study. Effects were corrected for treatment (antipneumococcal vaccinations or hepatitis vaccinations) and the number of AOM episodes in the year preceding vaccinations (2–3 vs
4). P values of
.05 were considered to be statistically significant. No correction was made for multiple testing.
| RESULTS |
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2 episodes of AOM, the number of AOM episodes before vaccination, specific antipneumococcal IgG levels after vaccination, and AOM after complete vaccination, respectively. Only significant associations will be discussed. SNPs not mentioned here showed no significant associations. Genotype distribution for all SNPs except for the IL10 G-819A polymorphism reached Hardy-Weinberg equilibrium in controls. To rule out technical problems, 14 individuals were typed by using the reverse and forward primer in the single base extension reaction. Results for both strands were identical. Sequencing of 13 random controls also showed identical genotypes, excluding technical errors (data not shown). Genotype distributions in controls are listed in Table 4.
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TNFA Promoter Genotypes –238 G/G and –376 G/G and TLR4 299 D/D Genotype Are Associated With an Otitis-Prone Condition
Similar to other otitis studies, in our study, population risk factors for AOM such as a high number of siblings and low age at first AOM are related to an otitis-prone condition (Table 1).13,30,31 Girls were overrepresented in the group of children who suffered from
4 AOM episodes when compared with the children who had 2 to 3 AOM episodes. Children under the age of 4 were more likely to have had
4 AOM episodes in the previous year than older children. The interaction of age and age at the first AOM episode was significantly associated with the AOM recurrence rate (P < .01). Therefore, the effect of the polymorphisms on the recurrence rate of AOM was corrected for these factors (Table 5).
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The TNFA-376 G/G genotype was associated with the otitis-prone condition in children (crude OR: 3.10; P = .05; adjusted OR: 3.06; P = .07). No significant association was found when older and younger children were analyzed separately.
In addition, carriage of the TLR4 299 G allele was associated with a lower number of AOM episodes (OR: 0.5; P = .04). This finding, however, remained significant only after correction for confounding factors when the data for the children under the age of 4 years were analyzed separately (crude OR: 2.50; P = .02; adjusted OR: 2.49; P = .03).
TNFA-863 C/C Genotype and Carriage of the TNFA-238 A Allele Are Associated With Higher Specific Antipneumococcal IgG Levels After Complete Vaccination
IgG antipneumococcal antibody levels were evaluated in 80 children who were in the pneumococcal vaccine group: 34 were aged 12 to 24 months and 46 were aged 25 to 84 months. Four or more AOM episodes in the year preceding inclusion were observed in 36 children, whereas 44 had 2 to 3 episodes of AOM. Before vaccination, all IgG antipneumococcal antibody levels were low for patients with 2 to 3 and
4 AOM episodes (Table 6). Serum IgG antipneumococcal antibody levels against all serotypes were lower in the children with an AOM recurrence rate
4 compared with those with only 2 to 3 AOM episodes after complete vaccination. This was significant for all except the anti–serotype 6B and 23F antibody levels. Age, independent from the number of AOM episodes (2–3 or
4), had a significant effect on specific IgG levels against serotype 14 at baseline, and on anti–serotype 4 antibody levels after vaccination. By using a logistic regression model adjusting for age, number of AOM episodes, and number of conjugate vaccinations, a significantly lower antipneumococcal serotype 23F antibody level was observed for the carriers of the TNFA-863 A allele compared with children homozygous for the C allele (P < .001). Furthermore, a trend for lower specific IgG levels was observed against 5 of 7 vaccine serotypes (P = .05–.10) in the carriers of the 863A allele. The TNFA-238 A allele carriers had higher geometric mean specific IgG levels against all serotypes (Table 7). This finding, however, was only significant for antibodies against pneumococcal serotypes 18C and 19F without correction for confounding factors (P = .04 and .04, respectively).
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IL10-1082 A/A Genotype Is Associated With Protection From AOM Recurrence After Vaccination
Previously, we have reported that the number of AOM episodes in the per-protocol analysis was higher in the pneumococcal vaccine group than in the control vaccine group, particularly among children who suffered
4 AOM episodes in the year preceding inclusion.25 We corrected for this feature to assess whether the polymorphisms were correlated to the number of AOM episodes after complete vaccination. Patient characteristics did not differ between the pneumococcal and control vaccine group.25 We observed that the IL10-1082 A/A genotype protects patients from AOM recurrence during follow-up after vaccination (incidence rate ratio: 0.63; P = .01).
No significant differences were observed for polymorphisms in TNFA or IL6 (data not shown).
| DISCUSSION |
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TNF-
levels in nasopharyngeal secretions are decreased in children with recurrent otitis media compared with healthy children.9 TNF-
stimulates Ig and mucin production, and low TNF-
concentrations may compromise these defense mechanisms.7 The association between various TNFA polymorphisms and otitis media parameters found in our study may indicate that, indeed, there is a role for these polymorphisms in TNF-
production in vivo. In the recent past, numerous studies have been performed to investigate the association of TNFA promoter polymorphisms and TNF-
levels in different inflammatory and infectious diseases, and contradictory results have been reported34. TNF-
expression is probably not determined by one polymorphism but, rather, by a combination of polymorphisms in TNFA and TNFA-associated genes. Different pathogens may induce a variety of cytokine responses and, because numerous pathogens, both bacterial and viral, are known to cause otitis media, unraveling the role of polymorphisms on TNF-
production in the human setting is very difficult. Because TNF-
levels are expected to change during the course of infection, the timing of sampling is likely to be a very important determinant of the results.
In addition, the IL6-174 G/G promoter genotype was found more frequently in patients with AOM than in healthy adult controls in our study. Our findings support the findings of others (eg, the study by Nieters et al35) who found homozygosity of the IL6-174C allele to be associated with a lower frequency of reported common colds. Common colds are known to predispose for recurrent otitis media. In addition, Patel et al33 reported IL6-174 G allele carriage to be increased in otitis-media-susceptible children. The IL6 G/G genotype was shown previously to be associated with high IL-6 levels compared with the C/C genotype21. This association, however, is not consistent, and a more complex regulation of IL-6 production that depends on multiple polymorphisms in the IL6 promoter region seems to play a role.36,37 Furthermore, IL-6 expression is influenced by TNF-
, and the interaction of polymorphisms in these and other genes may codetermine the phenotype.
Carriage of the TLR4 299 G allele was associated with a lower number of AOM episodes but was significant only in children younger than 4 years after corrections for confounding factors. Possibly, a low G allele frequency in our population (10% in the group with 2–3 AOM episodes versus 5% in the otitis-prone group) hampered identification of an association. TLRs recognize microbial patterns in a specific way. It is thought that, depending on the microorganism involved, a combination of TLRs is triggered, which determines the direction of the immune response.38 Detailed information on the causative pathogens in each disease episode is needed to elucidate the precise role of TLRs and their genetic variation in AOM and other diseases. Unfortunately, these data are not available in our study.
The IL10-1082 A/A genotype was associated with protection from AOM after vaccination. The IL10 promoter haplotype, which includes the IL10-1082 A/A genotype, is associated with low IL-10 production.19,39,40 For the IL10-819 C/C genotype, which is in the same haplotype, a similar trend was observed (data not shown). In IL-10-deficient mice immunized with nonvirulent unencapsulated Streptococcus pneumoniae (strain R36A), elevated induction of proinflammatory cytokines was observed, which supports the hypothesis that low IL-10 producers confer better response after vaccination. Antibody titers against pneumococcal proteins were increased compared with those in wild-type mice.41 Although no association was observed between the IL10 polymorphism and specific antibody levels in our population, one might expect a similar effect. Possibly, the concentration of IL-10 in low producers is sufficient to preclude finding differences in antibody titers.
Because otitis media is a multifactorial disease, the effect of each polymorphism on its own is expected to be limited. In addition, we are aware that most of these associations are expected to lose significance after correction for multiple testing. However, because no consensus has been reached on what method to use to correct for multiple testing in genetic-association studies, we felt it most appropriate to provide P values as they are.
The associations in our study were attributable mainly to children younger than 4 years. Several factors may explain this finding. First, a selection for children suffering from
2 episodes of otitis media for the vaccination trial may have resulted in a biased group in the older children, including those children with the highest recurrence rates or ongoing infection. Second, the immune system and anatomy, like the Eustachian tube, of young children are both still developing and differ from older children and adults, which likely results in a more prominent role for innate immunity at younger age. In contrast to previous studies, our study only included patients with recurrent AOM and no age-matched controls without otitis were included.30,42
| CONCLUSIONS |
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| ACKNOWLEDGMENTS |
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We thank Jon Laman (Department of Immunology, Erasmus MC, Rotterdam) for critically reading the manuscript.
| FOOTNOTES |
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Address correspondence to Marieke Emonts, MD, Department of Pediatrics, Erasmus MC-Sophia Children's Hospital, University Medical Center, Dr Molewaterplein 50, Room Ee15-02, 3015 GE, Rotterdam, Netherlands. E-mail: m.emonts{at}erasmusmc.nl
The authors have indicated that they have no financial relationships relevant to this article to disclose.
| REFERENCES |
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