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The association of Toll-like receptor 4 gene polymorphisms with the development of emphysema in Japanese subjects: a case control study

BMC Research Notes volume 5, Article number: 36 (2012) Cite this article

Abstract

Background

The principal role of Toll-like receptor 4 (TLR4) is the induction of immune responses to lipopolysaccharides. Previously, mice deficient in the TLR4 gene exhibited up-regulation of the NADPH oxidase system in the lungs. This resulted in increased oxidant generation and elastolytic activity, which led to pulmonary emphysema. It was suggested that TLR4 might maintain constitutive lung integrity by modulating oxidant generation. We investigated whether single nucleotide polymorphisms (SNPs) in the TLR4 gene were associated with the emphysema phenotype in Japanese subjects with chronic obstructive pulmonary disease (COPD).

Results

Seven SNPs in the TLR4 gene (rs10759930, rs1927914, rs12377632, rs2149356, rs11536889, rs7037117, and rs7045953) were genotyped with allelic discrimination assays. The frequencies of SNPs were compared between 106 patients with the emphysema phenotype of COPD and 137 healthy smokers. We found that the positivity of the individuals with the major G allele of rs11536889 was significantly less in the emphysema group than the control group (p = 0.019). The frequencies of the minor C allele and the distribution of the CC genotype as well as the frequency of the major haplotype that carried the minor C allele of rs11536889 were all significantly higher in the emphysema group than the control group (p = 0.0083, 0.019, and 0.004, respectively). Furthermore, the strength of the association of the CC genotype with the emphysema phenotype was in an odds ratio of 2.60 with 95% confidence intervals from 1.17 to 5.78. However, these significances were not apparent after adjust for age and smoking history by logistic regression. No associations were observed between the rs11536889 and the low attenuation area score, the forced expiratory volume, and the carbon monoxide diffusion capacity in the emphysema group.

Conclusions

The minor C allele of the rs11536889 SNP in the TLR4 gene is likely associated with the risk of developing emphysema in the Japanese population.

Background

Chronic obstructive pulmonary disease (COPD) is a major global health problem that causes 64 million patients with COPD worldwide in 2004 and more than 3 million deaths in 2005 [1]. COPD is predicted to become the third most common cause of death and the fifth most common cause of disability in the world by 2020 [2]. The inflammation, extracellular matrix synthesis, oxidative stress and apoptosis are the major pathophysiological pathways in the mechanisms of COPD [3]. Recently, an animal model of autoimmune emphysema showed that CD4+ cell-dependent mechanisms were sufficient to trigger the development of emphysema, suggesting that alveolar septal cell destruction might result from immune mechanism [4]. The development of COPD is known to be influenced by multiple genetic factors [5]. A coding variant in surfactant protein B (SFTPB Thr131Ile) and the (GT)31 allele of the heme oxygenase (HMOX1) promoter short tandem repeat were evidenced to be associated with COPD in both the family-based study and case-control study [6]. In addition, TNF-α-308-1 and TNF-α-308-2 alleles, IL-13 promoter polymorphisms, metalloproteinase (TIMP)-2 polymorphisms, and β2-adrenoceptor Gly16 polymorphism were proved to be significantly associated with the presence of smoking-related COPD [7]. We also demonstrated that the transforming growth factor beta 1 gene polymorphisms were associated with emphysema phenotype of COPD in Japanese [8]. Recently, genome-wide association study identified bicaudal D homolog 1 (BICD1) as a susceptibility gene for emphysema [9]. However, few evidences have shown that genes involved with innate immune system are associated with emphysema or COPD.

The principal role of Toll-like receptors (TLRs) is the induction of immune responses. TLRs activate both innate and adaptive immune responses; they regulate the immediate response to pathogens and antigen presentation to the adaptive system [10, 11]. Among the TLR family members, TLR4 is activated by bacterial lipopolysaccharides (LPS) [12]. LPS is a glycolipid component of Gram-negative bacteria cell walls; it is present in airborne particles, like tobacco smoke [13]. Recent evidence has demonstrated that mice deficient in the TLR4 gene developed pulmonary emphysema [14]. In that study, TLR4 knock out mice exhibited upregulation of a novel NADPH oxidase system in lungs and endothelial cells; this resulted in increased oxidant generation and elastolytic activity. However, various mediators of inflammation, including IL-1β, TNF-α, IL-6, IL-13, IFN-γ, and VEGF, were not differentially expressed. It is thought that TLR4 might maintain constitutive lung integrity by modulating oxidant generation. In another study, when TLR4 transgenic mice were exposed to hyperoxia, reduced apoptosis was observed in alveolar type I and II epithelial cells and alveolar macrophages. In addition, antiapoptotic molecules, like heme oxigenase-1, were up-regulated [15]. Those results suggested that TLR4 may function to protect against the development of emphysema through defending the oxidative stress and apoptosis.

The TLR4 gene is located on chromosome 9q32-33; it spans approximately 13 kb and contains three exons that encode a 222-amino acid protein. Single nucleotide polymorphisms (SNPs) in the TLR4 gene have been reported to be associated with endotoxin hyporesponsiveness and gram-negative infections [16–18]. TLR4 SNPs have been shown to affect the risks of various inflammatory diseases, including atherosclerosis [19], Crohn's disease [20], rheumatoid arthritis [21], and prostate cancer [22, 23]. Studies on the association of TLR4 SNPs with COPD showed that the Asp299Gly (rs4986790) and Thr399Ile (rs4986791) polymorphisms of TLR4 gene were strongly associated with Caucasian patients [24–26]. However, these two functional SNPs were absent in the Japanese population according to the HapMap Project. At present, no TLR4 SNPs have yet been reported with the emphysema phenotype of COPD in Japanese subjects. In this case-control study, we investigated the association between TLR4 SNPs and COPD in Japanese subjects, with a focus on the emphysema phenotype.

Results

Characteristics of study subjects

Table 1 shows the characteristics and spirometric data of the study subjects. We selected 106 patients (102 males and 4 females) with the emphysema phenotype from 268 patients with COPD and 137 controls (133 males and 4 females) from healthy smokers for health screening in our afflicted hospitals. The gender ratio was matched between the case and control groups (p = 0.711), however, the age and smoking history were significantly higher in patients with emphysema compared to controls (p < 0.001). The FEV1/FVC and %FEV1 were significantly lower in patients with emphysema compared to control smokers (p < 0.001). Table 2 shows the information about the severity of the airflow limitation determined by GOLD classification and the total LAA score determined by Goddard's method in the emphysema group.

Table 1 Study subject characteristics and baseline spirometry data*
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Table 2 The severity of airflow limitation and total LAA scores in patients with emphysema phenotype
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Genetic information of the study subjects

The genotypic distributions of all seven SNPs in control smokers were in HWE (p > 0.2). The allelic positivities of the examined SNPs in the TLR4 gene are shown in Table 3. Compared to the control smokers, patients with emphysema had significantly lower positivity for the major G allele of rs11536889 (p = 0.019, odds ratio (OR) = 0.38, 95% confidence interval (CI) = 0.17-0.86). The other six SNPs did not show significant differences in allelic positivity rates between the two groups (Table 3). Further analysis regarding the rs11536889 revealed that the frequency of the minor C allele was significantly higher in the patients with emphysema phenotype than the health smokers (p = 0.0083), and the strength of the association of the C allele with emphysema phenotype was expressed by an OR of 1.69 with 95% CI from 1.14 to 2.50 (Table 4). Furthermore, the distribution of the CC genotype was significantly frequent in the emphysema group compared to that in the control group (p = 0.019), and the strength of the association of the CC genotype with emphysema phenotype was in an OR of 2.60 with 95% CI from 17 to 5.78 (Table 4). Figure 1 shows the pair-wise LD of the seven SNPs in patients with emphysema and control smokers. All SNP pairs showed high LD values, ranging from 0.79 to 1.00 in the cases and from 0.72 to 1.00 in control smokers. All SNP pairs showed so strong LD values that the Bonferroni method was not applied to adjust from multiple comparisons of the seven SNPs in order to avoid false negative results. The seven SNPs constituted a haplotype block in the TLR4 gene in both groups. Table 5 shows the nucleotide structures of the four most common haplotypes that contained the seven TLR4 SNPs and the observed frequencies in the two groups. The major haplotype, TACGC AA (with the minor C allele of rs11536889), occurred significantly more frequent in the case group (0.336) than the control group (0.219, p = 0.004), with an OR of 1.8 (95% CI: 1.21-2.70). The fourth most common haplotype, CGTTG AA (with the major G allele of rs11536889), was observed more frequently in the control smokers (0.165) than the patients with emphysema (0.100, p = 0.039), with an OR of 0.56 (95% CI: 0.33-0.97).

Table 3 Allelic positivities of single nucleotide polymorphisms (SNPs) in the TLR4 gene in Japanese subjects.
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Table 4 Allelic frequency and genotypic distribution of the rs11536889 in the TLR4 gene in emphysema and control groups
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Figure 1
figure1

Linkage disequilibrium (LD) plot of seven SNPs of the TLR4 gene. LD plots were prepared for subjects with emphysema (left) and control smokers (right); D' _values that correspond to SNP pairs are expressed as percentages and shown within the respective squares. Higher D' values are indicated with a brighter red color. These seven SNPs constitute a haplotype block that spans 24 kb of the TLR4 gene.

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Table 5 The four most common haplotypes were comprised of the seven SNPs in the TLR4 gene.
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In addition, the %FEV1, %DLco, and LAA scores did not show any associations with the major or minor alleles of the seven SNPs in patients with the emphysema phenotype (data not shown).

Discussion

The present study showed the minor C allele and the CC genotype of the rs11536889 SNP in the TLR4 gene were likely associated with the emphysema phenotype of COPD in Japanese subjects. The strength of the association of the CC genotype with emphysema phenotype was in an OR of 2.60. Moreover, the frequency of the major haplotype (Haplotype 1), which carried the minor C allele of rs11536889, was significantly higher in the emphysema group than in the controls. Another haplotype (Haplotype 4), which carried the major G allele of the rs11536889, was significantly higher in the in the controls than the emphysema group. However, we found that the clinical features of emphysema, such as %FEV1, %DLco and LAA scores were not significantly associated with the presence of rs11536889 in patients with emphysema.

TLRs are expressed in many cells, including airway epithelial cells, alveolar type II epithelial cells, alveolar macrophages, endothelium, fibroblasts, vascular smooth muscle cells, and T-cells [27]. TLR4s can recognize both LPS and a respiratory syncytial virus fusion protein [28]. The latter is a major respiratory pathogen in humans, infects the lower respiratory tract, and can exacerbate COPD. TLR4 can also be activated by proteins released from dead and dying cells, and tissue matrix breakdown products in the absence of infection, including high-mobility group protein 1 [29], surfactant protein A [30], fibronectin [31], fibrinogen [32], and hyaluronic acid oligosaccharides [33]. In smokers, stimulation with TLR4 agonists caused alveolar macrophages to reduce gene expression and secrete proinflammatory cytokines and chemokines [34]. Smokers and severe COPD patients displayed reduced TLR4 gene expression in the nasal epithelium. Consistent with that finding, a human epithelial cell line exposed to cigarette smoke extracts showed dose-dependent reductions in TLR4 mRNA and protein expression [35]. Those findings suggested that TLR4 might play a crucial role in the pathogenesis of COPD inflammation.

In the present study, the distribution of the rs11536889 CC genotype in control smokers was consistent with that reported for Japanese subjects in the HapMap project. In contrast, the CC genotype in the emphysema group was significantly higher than in the controls. The C allelic was also associated with emphysema phenotype. The rs11536889 C allele was previously demonstrated to be associated with moderate and severe periodontitis [36] and a high risk of gastric atrophy in Helicobacter pylori seropositive Japanese subjects [37]. However, the rs11536889 was not associated with autoimmune pancreatitis [38] or sarcoidosis-related uveitis [39] in Japanese subjects.

The rs11536889 SNP is located in the 3'-UTR of the TLR4 gene on chromosome 9q32-q33; it substitutes the ancestral guanine (G) with a mutated cytosine (C) at nucleotide position 3725. This SNP does not have any direct influence on the conformation of the TLR4 protein molecule, according to updated biogenetic data. However, it remains possible that this G/C mutation may have an effect on mRNA stability and transcription and/or translation efficiency; this might cause a dysfunction of the TLR4 molecule and interfere with the host immune system.

Two mutations in the TLR4 gene, Asp299Gly (rs4986790) and Thr399Ile (rs4986791), were reported to be highly associated with COPD in Caucasians [24–26], but these two functional SNPs were absent in the Japanese population according to the HapMap Project. At present, no other additional SNPs of the TLR4 gene have been reported to be associated with emphysema or COPD in Japanese or other populations worldwide.

The major limitation of the present case-control study was the relatively small sample sizes for both the case and control groups. The cases were strictly defined as the emphysema phenotype among the COPD patients by HRCT evaluation that was only applied to a part of the COPD patients due to several reasons of the patients. And the control group was recruited from the health centers where the apparent healthy people, mostly before retirement, voluntarily visit and take medical check-up once a year. As a result, the age and smoking history were significantly higher in the case group than the control group. When we analyzed the association of the rs11536889 SNPs with the emphysema phenotype, logistic regression was performed to adjust for age and smoking history as potential confounders. However, the significances in comparisons of the allelic frequency, genotype distribution and allele positivity of the rs11536889 between the emphysema and control smokers were not apparent. Logistic regression model allows adjustment for confounders with a representative random sample from the targeted study population assuming without bias [40], but that tends to systematically overestimate odds ratios when the sample size is less than about 500 [40]. Since our case group of emphysema phenotype was selected from the COPD population and the sample size was relatively small, we don't think logistic regression is suitable for the current adjustments. The odds ratio of 1.69 with 95% CI from 1.14 to 2.50 regarding the minor C allele and the odds ratio of 2.60 with 95% CI from 1.17 to 5.78 regarding the CC genotype of the rs11536889 provided a positive hint that the rs11536889 is important in the association with emphysema phenotype. With increasing sample size, the significances are supposed to approach the true population values [40]. We would expect replication studies for the association of the rs11536889 with emphysema in other Japanese groups. Further studies using appropriate animal models may verify the roles of TLR4 rs11536889 polymorphism in the pathogenesis of emphysema.

Conclusions

This study demonstrated that the rs11536889 (+3725 G/C) SNP and the haplotype that carried the minor C allele of this SNP in the TLR4 gene were likely associated with the risk of developing the emphysema phenotype in the Japanese population.

Methods

Selection of cases

This study was approved by the Ethics Committee of Shinshu University. We obtained written informed consent from each case and control subject. Patients with COPD were recruited from the Department of Respiratory Medicine in Shinshu University Hospital (Matsumoto, Japan), and all participants were Japanese. COPD was diagnosed by smoking history, chronic respiratory symptoms (cough, sputum, breathlessness), and spirometric measurements that indicated an irreversible airflow limitation according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) [41]. Spirometry and carbon monoxide diffusion capacity (DLco) were measured with a pulmonary function testing system (Chestac-55 V, Chest Co. Ltd., Tokyo, Japan). Spirometry values were expressed as a percentage of the predicted value for forced expiratory volume in 1 second (%FEV1), which was based on equations formulated for Japanese. An airflow limitation was defined as a ratio of FEV1 to forced vital capacity (FVC) less than 70% (FEV1/FVC < 70%). The severity of the airflow limitation was determined according to spirometric classifications of GOLD [41], as follows: all stages showed FEV1/FVC < 70%; in addition, Stage I: %FEV1 ≥ 80%; Stage II: 50% ≤ %FEV1 < 80%; Stage III: 30% ≤ %FEV1 < 50%; and Stage IV: %FEV1 < 30%.

Subjects with the following disorders were excluded from the study: late sequelae of pulmonary tuberculosis, diffuse panbronchiolitis, sinobronchitis, bronchiectasis, bronchiolitis obliterans due to autoimmune disease, and bronchial asthma.

The significant pathophysiological characteristic of COPD is airflow limitation that is caused by mixture phenotypes of small airway disease (obstructive bronchiolitis) and parenchymal destruction (emphysema), the relative contributions of which vary from person to person [42]. As a result, most patients with COPD have a combination of both phenotypes. The cases in the current case-control association study was strictly defined the patients with emphysema phenotype which was identified by high-resolution computed tomography (HRCT). A helical CT scanner (Hi Speed Advantage, Light Speed Ultra 16, or Light Speed VCT, GE Medical Systems, Milwaukee, WI) was used for HRCT scanning at full inspiration (total lung capacity level). We evaluated six slices, each 1.00-1.25 mm thick at three bilateral anatomic levels at full inspiration: the upper lung field (near the superior margin of the aortic arch), the middle lung field (at the level of the carina), and the lower lung field (at the level of the orifice of the inferior pulmonary veins). HRCT images were acquired with a window setting appropriate for the lungs (window level: -550 to -900 HU; width: 800 to 1500 HU). Low attenuation areas (LAA) were visually evaluated in each bilateral lung field according to the method of Goddard et al. [43] as follows: 0 = LAA < 5%; 1 = 5% ≤ LAA < 25%; 2 = 25% ≤ LAA < 50%; 3 = 50% ≤ LAA < 75%; 4 = 75% ≥ LAA. The total score was the sum of the scores for six slices (maximum score = 24). We defined the emphysema phenotype as a total score ≥ 7.

Selection of controls

Control smokers were recruited from a population that underwent health screening at our affiliated hospitals (Misayama Hospital and Shinmachi Hospital, Japan). Control smokers were selected based on normal spirometric measurements. The selection criteria for controls were Japanese ethnicity, 50 years old or more, and former or current smoker. These criteria avoided ethnicity difference in this case-control association study, minimized the gaps of age and smoking history between the case and control groups, as well as gained large enough sample size to ensure statistical power for overcoming type I error.

Genotyping

DNA was extracted from whole blood with the QuickGene-800 kit (FUJIFILM, Tokyo, Japan). Genomic DNA was prepared at concentrations of 5-15 ng/μl for the TaqMan SNP genotyping assay. Seven SNPs within the TLR4 gene were genotyped, including rs10759930 and rs1927914 in the 5' untranslated region (UTR); rs12377632, and rs2149356 in intron 2; rs11536889, rs7037117, and rs7045953 in the 3' UTR (Table 3). These SNPs included 5 kb of the predicted 5' UTR and 6 kb of the predicted 3' UTR, with minor allele frequencies > 5% according to the National Center for Biotechnology Information [44] SNP database. Genotyping the SNPs was performed with the SNP Genotyping Kit (Applied Biosystems, Tokyo, Japan). The polymerase chain reaction (PCR) was performed with a TaqMan Assay for Real-Time PCR (7500 Real Time PCR System; Applied Biosystems) according to the manufacturer's instructions.

Statistical analysis

Continuous data are expressed as the mea n ± standard deviation (SD). For continuous variables, the differences between cases and controls were analyzed with the Mann-Whitney U test. We also tested the Hardy-Weinberg equilibrium (HWE) of each SNP among the controls. Allelic positivity was expressed in percentage. The positivity was defined as the frequency of individuals having one or two of the identical alleles in a given group. Differences in allele positivity between cases and controls were assessed with the Chi-square test (2 × 2 contingency table). The Haploview 3.32 program was used to compute pairwise linkage disequilibrium (LD) statistics [45]. The D' and r2 values were plotted. LD blocks were defined according to the criteria of Gabriel et al [46]. Comparisons of haplotype frequencies between the cases and controls were performed with the Chi-square test. Phenotype-genotype associations were analyzed within the emphysema group by comparing the severity of emphysema (total LAA score), severity of airflow limitation (%FEV1), and deterioration of gas exchange (%DLco = a percentage of the predicted value for DLco) between patients with and those without either the major or minor allele of a SNP. The odds ratio (OR) and the approximate 95% confidence interval (CI) were calculated. Statistical significance was taken to be a p-value less than 0.05.

References

  1. 1.

    World Health Organization: Chronic obstructive pulmonary disease (COPD). [http://www.who.int/respiratory/copd/en/index.html]

  2. 2.

    Murray CJL, Lopez AD: Evidence-based health policy: lessons from the global burden of disease study. Science. 1996, 274: 740-743. 10.1126/science.274.5288.740.

    PubMed  CAS  Article  Google Scholar 

  3. 3.

    Snider GL: Chronic obstructive pulmonary disease: risk factors, pathophysiology and pathogenesis. Annu Rev Med. 1989, 40: 411-429. 10.1146/annurev.me.40.020189.002211.

    PubMed  CAS  Article  Google Scholar 

  4. 4.

    Taraseviciene-Stewart L, Scerbavicius R, Choe KH, Moore M, Sullivan A, Nicolls MR, Fontenot AP, Tuder RM, Voelkel NF: An animal model of autoimmune emphysema. Am J Respir Crit Care Med. 2005, 171: 734-742. 10.1164/rccm.200409-1275OC.

    PubMed  Article  Google Scholar 

  5. 5.

    Chen Y: Genetics and pulmonary medicine. 10: Genetic epidemiology of pulmonary function. Thorax. 1999, 54: 818-824. 10.1136/thx.54.9.818.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  6. 6.

    Hersh CP, Demeo DL, Lange C, Litonjua AA, Reilly JJ, Kwiatkowski D, Laird N, Sylvia JS, Sparrow D, Speizer FE, Weiss ST, Silverman EK: Attempted replication of reported chronic obstructive pulmonary disease candidate gene associations. Am J Respir Cell Mol Biol. 2005, 33: 71-78. 10.1165/rcmb.2005-0073OC.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  7. 7.

    Molfino NA: Genetics of COPD. Chest. 2004, 125: 1929-1940. 10.1378/chest.125.5.1929.

    PubMed  Article  Google Scholar 

  8. 8.

    Ito M, Hanaoka M, Droma Y, Hatayama H, Sato E, Katsuyama Y, Fujimoto K, Ota M: The association of transforming growth factor beta 1 gene polymorphisms with the emphysema phenotype of COPD in Japanese. Intern Med. 2008, 47: 1387-194. 10.2169/internalmedicine.47.1116.

    PubMed  Article  Google Scholar 

  9. 9.

    Kong X, Cho MH, Anderson W, Coxson HO, Muller N, Washko G, Hoffman EA, Bakke P, Gulsvik A, Lomas DA, Silverman EK, Pillai SG: ECLIPSE Study NETT Investigators. genome-wide association study identifies BICD1 as a susceptibility gene for emphysema. Am J Respir Crit Care Med. 2011, 183: 43-49. 10.1164/rccm.201004-0541OC.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  10. 10.

    Arancibia SA, Beltrán CJ, Aguirre IM, Silva P, Peralta AL, Malinarich F, Hermoso MA: Toll-like receptors are key participants in innate immune responses. Biol Res. 2007, 40 (2): 97-112.

    PubMed  CAS  Article  Google Scholar 

  11. 11.

    Akira S, Takeda K, Kaisho T: Toll-like receptors: critical proteins linking innate and acquired immunity. Nat Immunol. 2001, 2: 675-680. 10.1038/90609.

    PubMed  CAS  Article  Google Scholar 

  12. 12.

    Hajjar AM, Ernst RK, Tsai JH, Wilson CB, Miller SI: Human Toll-like receptor 4 recognizes host-specific LPS modifications. Nat Immunol. 2002, 3: 354-359. 10.1038/ni777.

    PubMed  CAS  Article  Google Scholar 

  13. 13.

    Hasday JD, Bascom R, Costa JJ, Fitzgerald T, Dubin W: Bacterial endotoxin is an active component of cigarette smoke. Chest. 1999, 115: 829-835. 10.1378/chest.115.3.829.

    PubMed  CAS  Article  Google Scholar 

  14. 14.

    Zhang X, Shan P, Jiang G, Cohn L, Lee PJ: Toll-like receptor 4 deficiency causes pulmonary emphysema. J Clin Invest. 2006, 116: 3050-3059. 10.1172/JCI28139.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  15. 15.

    Qureshi ST, Zhang X, Aberg E, Bousette N, Giaid A, Shan P, Medzhitov RM, Lee PJ: Inducible activation of TLR4 confers resistance to hyperoxia-induced pulmonary apoptosis. J Immunol. 2006, 176: 4950-4958.

    PubMed  CAS  Article  Google Scholar 

  16. 16.

    Arbour NC, Lorenz E, Schutte BC, Zabner J, Kline JN, Jones M, Frees K, Watt JL, Schwartz DA: TLR4 mutations are associated with endotoxin hyporesponsiveness in humans. Nat Genet. 2000, 25: 187-191. 10.1038/76048.

    PubMed  CAS  Article  Google Scholar 

  17. 17.

    Schmitt C, Humeny A, Becker CM, Brune K, Pahl A: Polymorphisms of TLR4: rapid genotyping and reduced response to lipopolysaccharide of TLR4 mutant alleles. Clin Chem. 2002, 48: 1661-1667.

    PubMed  CAS  Google Scholar 

  18. 18.

    Agnese DM, Calvano JE, Hahm SJ, Coyle SM, Corbett SA, Calvano SE, Lowry SF: Human toll-like receptor 4 mutations but not CD14 polymorphisms are associated with an increased risk of gram-negative infections. J Infect Dis. 2002, 186: 1522-1525. 10.1086/344893.

    PubMed  CAS  Article  Google Scholar 

  19. 19.

    Kiechl S, Lorenz E, Reindl M, Wiedermann CJ, Oberhollenzer F, Bonora E, Willeit J, Schwartz DA: Toll-like receptor 4 polymorphisms and atherogenesis. N Engl J Med. 2002, 347: 185-192. 10.1056/NEJMoa012673.

    PubMed  CAS  Article  Google Scholar 

  20. 20.

    Franchimont D, Vermeire S, El Housni H, Pierik M, Van Steen K, Gustot T, Quertinmont E, Abramowicz M, Van Gossum A, Devière J, Rutgeerts P: Deficient host-bacteria interactions in inflammatory bowel disease? The toll-like receptor (TLR)-4 Asp299gly polymorphism is associated with Crohn's disease and ulcerative colitis. Gut. 2004, 53: 987-992. 10.1136/gut.2003.030205.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  21. 21.

    Radstake TR, Franke B, Hanssen S, Netea MG, Welsing P, Barrera P, Joosten LA, van Riel PL, van den Berg WB: The Toll-like receptor 4 Asp299Gly functional variant is associated with decreased rheumatoid arthritis disease susceptibility but does not influence disease severity and/or outcome. Arthritis Rheum. 2004, 50: 999-1001. 10.1002/art.20114.

    PubMed  CAS  Article  Google Scholar 

  22. 22.

    Zheng SL, Augustsson-Bälter K, Chang B, Hedelin M, Li L, Adami HO, Bensen J, Li G, Johnasson JE, Turner AR, Adams TS, Meyers DA, Isaacs WB, Xu J, Grönberg H: Sequence variants of toll-like receptor 4 are associated with prostate cancer risk: results from the cancer prostate in Sweden study. Cancer Res. 2004, 64: 2918-2922. 10.1158/0008-5472.CAN-03-3280.

    PubMed  CAS  Article  Google Scholar 

  23. 23.

    Chen YC, Giovannucci E, Lazarus R, Kraft P, Ketkar S, Hunter DJ: Sequence variants of Toll-like receptor 4 and susceptibility to prostate cancer. Cancer Res. 2005, 65: 11771-11778. 10.1158/0008-5472.CAN-05-2078.

    PubMed  CAS  Article  Google Scholar 

  24. 24.

    Speletas M, Merentiti V, Kostikas K, Liadaki K, Minas M, Gourgoulianis K, Germenis AE: Association of TLR4-T399I polymorphism with chronic obstructive pulmonary disease in smokers. Clin Dev Immunol. 2009, 2009: 6-doi:10.1155/2009/260286

    Article  Google Scholar 

  25. 25.

    Rohde G, Klein W, Arinir U, Hagedorn M, Duerig N, T Bauer T, Gillissen A, Schultze-Werninghaus G, T Epplen J: Association of the ASP299GLY TLR4 polymorphism with COPD. Respir Med. 2006, 100 (5): 892-896. 10.1016/j.rmed.2005.08.018.

    PubMed  Article  Google Scholar 

  26. 26.

    Sabroe I, Whyte MK, Wilson AG, Dower SK, Hubbard R, Hall I: Toll-like receptor (TLR) 4 polymorphisms and COPD. Thorax. 2004, 59: 81-

    PubMed  CAS  PubMed Central  Google Scholar 

  27. 27.

    Chaudhuri N, Dower SK, Whyte MK, Sabroe I: Toll-like receptors and chronic lung disease. Clin Sci Lond. 2005, 109: 125-133. 10.1042/CS20050044.

    PubMed  CAS  Article  Google Scholar 

  28. 28.

    Kurt-Jones EA, Popova L, Kwinn L, Haynes LM, Jones LP, Tripp RA, Walsh EE, Freeman MW, Golenbock DT, Anderson LJ, Finberg RW: Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus. Nat Immunol. 2000, 1: 398-401. 10.1038/80833.

    PubMed  CAS  Article  Google Scholar 

  29. 29.

    Park JS, Svetkauskaite D, He Q, Kim JY, Strassheim D, Ishizaka A, Abraham E: Involvement of TLR 2 and TLR 4 in cellular activation by high mobility group box 1 protein (HMGB1). J Biol Chem. 2004, 279: 7370-7377.

    PubMed  CAS  Article  Google Scholar 

  30. 30.

    Guillot L, Balloy V, McCormack FX, Golenbock DT, Chignard M, Si-Tahar M: Cutting edge: the immunostimulatory activity of the lung surfactant protein-A involves Toll-like receptor 4. J Immunol. 2002, 168: 5989-5992.

    PubMed  CAS  Article  Google Scholar 

  31. 31.

    Okamura Y, Watari M, Jerud ES, Young DW, Ishizaka ST, Rose J, Chow JC, Strauss JF: The extra domain A of fibronectin activates Toll-like receptor 4. J Biol Chem. 2001, 276: 10229-10233. 10.1074/jbc.M100099200.

    PubMed  CAS  Article  Google Scholar 

  32. 32.

    Smiley ST, King JA, Hancock WW: Fibrinogen stimulates macrophage chemokine secretion through Toll-like receptor 4. J Immunol. 2001, 167: 2887-2894.

    PubMed  CAS  Article  Google Scholar 

  33. 33.

    Termeer C, Benedix F, Sleeman J, Fieber C, Voith U, Ahrens T, Miyake K, Freudenberg M, Galanos C, Simon JC: Oligosaccharides of hyaluronan activate dendritic cells via toll-like receptor 4. J Exp Med. 2002, 195: 99-111. 10.1084/jem.20001858.

    PubMed  CAS  PubMed Central  Article  Google Scholar 

  34. 34.

    Chen H, Cowan MJ, Hasday JD, Vogel SN, Medvedev AE: Tobacco smoking inhibits expression of proinflammatory cytokines and activation of IL-1R-associated kinase, p38, and NF-kappaB in alveolar macrophages stimulated with TLR2 and TLR4 agonists. J Immunol. 2007, 179: 6097-6106.

    PubMed  CAS  Article  Google Scholar 

  35. 35.

    Sarir H, Henricks PA, van Houwelingen AH, Nijkamp FP, Folkerts G: Cells, mediators and Toll-like receptors in COPD. Eur J Pharmacol. 2008, 585: 346-353. 10.1016/j.ejphar.2008.03.009.

    PubMed  CAS  Article  Google Scholar 

  36. 36.

    Fukusaki T, Ohara N, Hara Y, Yoshimura A, Yoshiura K: Evidence for association between a Toll-like receptor 4 gene polymorphism and moderate/severe periodontitis in the Japanese population. J Periodont Res. 2007, 42: 541-545. 10.1111/j.1600-0765.2007.00979.x.

    PubMed  CAS  Article  Google Scholar 

  37. 37.

    Hishida A, Matsuo K, Goto Y, Mitsuda Y, Hiraki A, Naito M, Wakai K, Tajima K, Hamajima N: Toll-like receptor 4 +3725 G/C polymorphism, Helicobacter pylori seropositivity, and the risk of gastric atrophy and gastric cancer in Japanese. Helicobacter. 2009, 14: 47-53. 10.1111/j.1523-5378.2009.00659.x.

    PubMed  CAS  Article  Google Scholar 

  38. 38.

    Umemura T, Katsuyama Y, Hamano H, Kitahara K, Takayama M, Arakura N, Kawa S, Tanaka E, Ota M: Association analysis of Toll-like receptor 4 polymorphisms with autoimmune pancreatitis. Hum Immunol. 2009, 70: 742-746. 10.1016/j.humimm.2009.05.009.

    PubMed  CAS  Article  Google Scholar 

  39. 39.

    Asukata Y, Ota M, Meguro A, Katsuyama Y, Ishihara M, Namba K, Kitaichi N, Morimoto S, Kaburaki T, Ando Y, Takenaka S, Inoko H, Ohno S, Mizuki N: Lack of association between toll-like receptor 4 gene polymorphisms and sarcoidosis-related uveitis in Japan. Mol Vis. 2009, 15: 2673-2682.

    PubMed  CAS  PubMed Central  Google Scholar 

  40. 40.

    Nemes S, Jonasson JM, Genell A, Steineck G: Bias in odds ratios by logistic regression modelling and sample size. BMC Med Res Methodol. 2009, 9: 56-10.1186/1471-2288-9-56.

    PubMed  PubMed Central  Article  Google Scholar 

  41. 41.

    Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2010: Global Strategy for the Diagnosis, Management and Prevention of COPD. [http://www.goldcopd.org/]

  42. 42.

    Rabe KF, Hurd S, Anzueto A, Barnes PJ, Buist SA, Calverley P, Fukuchi Y, Jenkins C, Rodriguez-Roisin R, Weel CV, Zielinski J: Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2007, 176: 532-555. 10.1164/rccm.200703-456SO.

    PubMed  Article  Google Scholar 

  43. 43.

    Goddard PR, Nicholson EM, Laszlo G, Watt I: Computed tomography in pulmonary emphysema. Clin Radiol. 1982, 33: 379-387. 10.1016/S0009-9260(82)80301-2.

    PubMed  CAS  Article  Google Scholar 

  44. 44.

    The National Center for Biotechnology Information database. [http://www.ncbi.nlm.nih.gov/snp/]

  45. 45.

    Barrett JC, Fry B, Maller J, Daly MJ: Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005, 21: 263-265. 10.1093/bioinformatics/bth457.

    PubMed  CAS  Article  Google Scholar 

  46. 46.

    Gabriel SB, Schaffner SF, Nguyen H, Moore JM, Roy J, Blumenstiel B, Higgins J, DeFelice M, Lochner A, Faggart M, Liu-Cordero SN, Rotimi C, Adeyemo A, Cooper R, Ward R, Lander ES, Daly MJ, Altshuler D: The structure of haplotypeblocks in the human genome. Science. 2002, 296: 2225-2229. 10.1126/science.1069424.

    PubMed  CAS  Article  Google Scholar 

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Acknowledgements

This study was partly supported by a grant to the Respiratory Failure Research Group from the Ministry of Health, Labour and Welfare, Japan.

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Affiliations

  1. First Department of Medicine, Shinshu University School of Medicine, 3-1-1, Asahi, Matsumoto, Japan

    Michiko Ito, Masayuki Hanaoka, Yunden Droma, Nobumitsu Kobayashi, Masanori Yasuo, Yoshiaki Kitaguchi, Toshimichi Horiuchi, Kayoko Ikegawa & Keishi Kubo

  2. Department of Pharmacy, Shinshu University Hospital, 3-1-1, Asahi, Matsumoto, Japan

    Yoshihiko Katsuyama

  3. Department of Legal Medicine, Shinshu University School of Medicine, 3-1-1, Asahi, Matsumoto, Japan

    Masao Ota

Authors
  1. Michiko Ito
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  2. Masayuki Hanaoka
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  3. Yunden Droma
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Corresponding author

Correspondence to Masayuki Hanaoka.

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Competing interests

The authors declare that they have no competing interests.

Authors' contributions

MI drafted the manuscript. MI, MH, KK, and MO conceived and designed the study. MI, YK, and MO performed the statistical analysis and analyzed the data. MI, YD, and NK performed the genetic studies. MY, TH, and KI interpreted the data on lung function. All authors read and approved the final manuscript.

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Ito, M., Hanaoka, M., Droma, Y. et al. The association of Toll-like receptor 4 gene polymorphisms with the development of emphysema in Japanese subjects: a case control study. BMC Res Notes 5, 36 (2012). https://doi.org/10.1186/1756-0500-5-36

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Keywords

  • Chronic Obstructive Pulmonary Disease
  • Chronic Obstructive Pulmonary Disease Patient
  • Airflow Limitation
  • Cigarette Smoke Extract
  • Japanese Subject

BMC Research Notes

ISSN: 1756-0500

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