Influence of inflammasome NLRP3, and IL1B and IL2 gene polymorphisms in periodontitis susceptibility
Authors:
Josiane Bazzo de Alencar aff001; Joana Maira Valentini Zacarias aff001; Patrícia Yumeko Tsuneto aff001; Victor Hugo de Souza aff001; Cléverson de Oliveira e Silva aff002; Jeane Eliete Laguila Visentainer aff001; Ana Maria Sell aff001
Authors place of work:
Department of Clinical Analysis and Biomedicine, Post-Graduation Program in Biosciences and Physiophatology, State University of Maringá, Maringá, Paraná, Brazil
aff001; Department of Dentistry, State University of Maringá, Maringá, Paraná, Brazil
aff002; Department of Basic Health Sciences, State University of Maringá, Maringá, Paraná, Brazil
aff003
Published in the journal:
PLoS ONE 15(1)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0227905
Summary
The pathogenesis of periodontitis (PD) involves several molecules of the immune system that interact in a network to eliminate the periodontopathogens, yet, they contribute to periodontal tissue destruction. The different mechanisms that lead to periodontal tissue damage are not clear. Despite this, immune response genes have been related to the development of PD previously, such as those involved in inflammasomes which are multiprotein complexes and cytokines including Interleukin-1. The aim of the study was to evaluate the polymorphisms in NLRP3 inflammasome, cytokine and receptor of cytokines genes in the development of periodontitis. This case-control study was conducted in 186 patients with PD (stage II and III and grade B) and 208 controls (localized gingivitis and periodontally healthy individuals). Genotyping was performed using PCR-RFLP for the SNP rs4612666 in NLRP3 and using PCR-SSP for IL1A, IL1B, IL1R, IL1RN, IL4RA, INFG, TGFB1, TNF, IL2, IL4, IL6, and IL10. Cytokine serum levels were measured using Luminex technology. SNPStats and OpenEpi software were used to perform statistical analysis. The higher frequencies of NLRP3 T/C and IL1B -511 T/T genotypes and IL2 (+166, -330) GT haplotype were observed in patients with PD compared to controls. The SNPs in NLRP3, IL1R +1970, IL6–174, TNF -308, IL2 +166 and -330, TGFB1 +869 and +915, IL4RA +1902, IL4–1098 and -590 were associated to PD in men. In conclusion, polymorphisms in NLRP3, IL1B and IL2 genes were associated to PD susceptibility. Men carrying the NLRP3, IL1R, IL6, TNF, IL2, TGFB1, IL4RA and IL4 polymorphisms had greater susceptibility than women for developing PD.
Keywords:
Haplotypes – Cytokines – Immune response – Smoking habits – Brazil – Variant genotypes – Periodontitis – Inflammasomes
Introduction
Periodontitis (PD) is a common infectious disease in the oral cavity, affecting about 20–50% of the population in the world [1,2]. The disease initiates with a bacterial invasion in the periodontal tissue which induces the activation of immune response [3] and, the persistence of pathogens and the imbalance in the host immune response, lead to progressive periodontium tissue damage [4,5]. In addition, genetic and epigenetic factors contribute to the development of PD such as individual differences in the host immune response, smoking habits, gender, poor oral-hygiene, and systemic diseases as diabetes mellitus and rheumatic diseases [1]. Genetic variants that influence the susceptibility and the severity of periodontitis arise from changes that occur in the genes and in the biological molecules that they encode [6,7] including cytokines [8–13].
Cytokines are soluble mediators produced by resident cells (epithelial and fibroblasts) and phagocytes in the early chronic phases of PD inflammation, and by T and B lymphocytes in established and advanced lesions in the periodontium [14]. However, the unbalanced production of pro and anti-inflammatory cytokines induces severe damage in the periodontal tissue [15]. Interleukin (IL)-1, IL-8 and tumor necrosis factor (TNF)-α, produced by fibroblasts, promote neutrophils chemotaxis in the inflamed periodontal site. IL-1 can also enhance the expression of the receptor-activator of nuclear factor-kappa B (NF-κB) ligand (RANKL) on osteoblasts. RANKL is an osteoclastogenic factor that upregulates alveolar bone loss. TNF-α in synergism with IL-6 promotes osteoclast differentiation and IL-6 can stimulate the stromal cells to produce RANKL. Thus, these cytokines also promote bone resorption in PD [16]. Usually these proinflammatory cytokines increase in the gingival crevicular fluid (GCF) of PD individuals compared to those without PD [17]. In contrast, IL-4 and IL-10 have supressive properties and can attenuate the tissue distruction in PD. Nevertheless, they were found in lower concentrations in the biological fluids of PD patients [18].
Among the cytokines involved in the pathogenesis of PD, IL-1β, an inflammatory cytokine, can be highlighted for its contribution in stimulating the recruitment and differentiation of osteoclasts in the tissues. Thus, IL-1β contributes to bone resorption in PD. IL-1β levels were higher in the serum, GCF, saliva and gingival tissue of PD patients, and this cytokine could be a potential marker in the management of the disease [19,20]. The decreased levels of this cytokine were found in the GCF after non-surgical periodontal therapy [21–23], but not in all cases [24,25]. Thus, other pathways related to host immune response modulation may be influencing the maintenance of IL-1β levels in the periodontal tissue.
The maturation of IL-1β and its subsequent secretion are dependent on an oligomeric assembly of multiprotein complex called inflammasome. Inflammasome complex consists of cytosolic pattern recognition receptors (PRRs), apoptosis-associated speck-like protein containing a caspase activation and recruitment domain (ASC) and pro-caspase-1 [26]. PRRs such as nucleotide-binding and oligomerization domain (NOD)-like receptors (NLRs) and absent in melanoma 2 (AIM2)-like receptors (ALRs) are activated by pathogen-associated molecular patterns (PAMPs) or danger-associated molecular patterns (DAMPs). Upon sensing the stimuli, the pro-caspase-1 is activated to cleave the IL-1β into its bioactive form. Several inflammasomes have been described: NLR family pyrin domain-containing 1 (NLRP1), NLRP2, NLRP3, NLR family CARD domain-containing 4 (NLRC4) and AIM2 [27]. NLRP3 is the better characterized member and shown to be involved in the innate immune reaction of infectious, inflammatory and chronic diseases [28,29]. Overexpression of NLRP3 in the gingival tissue and increased salivary levels of NLRP3 were observed in PD patients [30]. Upregulation of the inflammasome may lead to an increase in IL-1β production [31,32]. Some therapeutic pathways, based on inhibition of the NLRP3 inflammasome, have been effective in the treatment of experimental diabetic periodontitis, inflammatory diseases and osteoarthritis [33–35]. NLRP1, NLRP2, NLRC4 and AIM2 were also evaluated in PD, however the results about their expression in periodontal tissue were controversial [31,32,36–40].
IL-2 also stimulated the osteoclast activity, contributing to bone resorption in the PD [41]. IL-2 is a proinflammatory cytokine involved in the cell-mediated immunity. It is produced mainly by T helper (Th)-1 cell and promotes the activation, growth and differentiation of T cell subsets, B lymphocytes and natural killer (NK) cells [42]. The ratios for IL-2 and IL-1 and for IL-2 and IL-17A had higher values in PD patients than in individuals without the disease, demonstrating potential for being a diagnostic biomarker [43].
Although some immune genetic variants have been associated with periodontitis, the immunopathogenesis of this disease has not yet been fully understood. Added to this, different ethnic groups may have varying degrees of susceptibility to the disease due to the influence of genetic polymorphisms [44]. No association studies between PD and single nucleotide polymorphisms (SNPs) in inflammasome, in IL1, IL4, IFNG, TGFB, TNF, IL2, IL4, IL6, IL10, IL1R and IL4RA genes were performed in a population from southern of Brazil. Thus, the aim of this study was to investigate the influence of polymorphisms in inflammatory mediator’s genes in the immunopathogenesis of PD in a population from southern of Brazil.
Materials and methods
Sample selection
This case control study included a total of 394 individuals (case/control: 186/208) selected in dentistry clinics from the State University of Maringá and Uningá University Center, between 2012 and 2018. The selection criteria was defined according to the International Workshop for a Classification of Periodontal Diseases and Conditions of 1999 [45]. The included clinical parameters were analyzed at four sites (mesial, vestibular, distal and lingual) of each tooth: probing depth (PD), bleeding on probing (BOP) and clinical attachment level (CAL). The case group was composed of individuals who had at least five sites in different teeth with PD ≥ 5mm, CAL ≥ 3mm and more than 25% of BOP; the control group was consisted of individuals with no pocket ≥ 4mm and less than 25% of BOP. Among all the patients included in this study, eighty-two patients were classified according to PD extent and to PD severity. Of these, 30 patients and 8 controls, all nonsmokers and matched by gender and age, had serum samples obtained for cytokine measurements. According to the classification on periodontal diseases of 2017 [46], the patients can be included in the following categories: stage II and III (based on severity, complexity, extension and distribution) and grade B (moderate rate of progression); and the controls can be consisted of individuals with localized gingivitis or with periodontal health.
The studied population was from North and Northwestern Paraná (22°29'30"-26°42'59"S and 48°02'24"-54°37'38"W), Southern Brazil, over 30 years of age and with at least twenty teeth in their oral cavity. Ethnically, they were classified as a mixed population, due to the great miscegenation process occurred in the state of Paraná and according to previous classifications [47,48]. Individuals with aggressive PD (stage IV and grade C of periodontitis), diabetes mellitus, acute infections, rheumatic diseases, gingivitis, and pregnant women were not included. This study was approved by the Human Research Ethics Committee of the State University of Maringá (COPEP-UEM—No. 719/2011, 02/12/2011 and 1.866.509, 14/12/2016).
Regarding smoking habits, all individuals were classified as smokers and nonsmokers. Information on the patient’s smoking history was obtained through anamnesis. People who had quit smoking for less than 10 years and those who did not remember how long they had stopped smoking were included in the smoking group [49].
Sample collection
The peripheral blood was collected from individuals and maintained in sterile tubes with EDTA and clot activator for further processing. The buffy coat was obtained and stored inside cryopreservation tubes at -20°C for future analysis and the serum samples were kept at -80°C until analysis.
DNA extraction and genotyping
DNA was extracted from buffy coat using salting out method [50]. Genotyping for NLRP3 gene, rs4612666, was performed only in nonsmokers using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The primer sequences were based on what was previously described [51] and tested on Primer Blast (NCBI) (https://blast.ncbi.nlm.nih.gov/Blast.cgi). PCR mixture was performed in a total volume of 15 μL containing 50 ng of DNA, 1.2 ng/μL from each primer, 0.12 mM of dNTP, PCR buffer, 1.5 mM of MgCl2 and 0.5 U of Taq DNA polymerase (Invitrogen Life Technologies, Grand Island, NY, USA). PCR products were digested by BpiI restriction enzyme (Anza™, Invitrogen, Life Technologies, Grand Island, NY) at 37°C for 3 hours, and digestion products were visualized on a 2% agarose gel. The quality of genotyping was controlled using internal control for SNP variant in the reactions and by direct sequencing. SBT was performed using two samples for each variant, sequencing with the BigDye™ terminator v3.1 cycle sequencing kit (Applied Biosystems, Thermo Fisher Scientific, USA) according to manufacturer´s instructions on an automatic analyzer (Applied Biosystems 3500xL).
Genotyping of cytokine polymorphisms was performed for smokers and nonsmokers. The following polymorphisms were evaluated by polymerase chain reaction with sequence-specific primers (PCR-SSP) using the Invitrogen kit Cytokines® (Canoga Park, USA): IL1A -889 C>T (rs1800587); IL1B -511 C>T (rs16944), +3962 C>T (rs1143634); IL1R C Pst-1 +1970 C>T (rs2234650); IL1RN mspa-1 11100 T>C (rs315952); IL4RA +1902 G>A (rs1801275); INFG UTR 5644 A>T (rs2430561); TGFB1 +869 T>C (rs1982073), +915 G>C (rs1800471); TNF -308 G>A (rs1800629), -238 G>A (rs361525); IL2–330 T>G (rs2069762), +166 G>T (rs2069763); IL4–1098 T>G (rs22432484), -590 C>T (rs2243250) and -33 C>T (rs2070874); IL6–174 G>C (rs1800795), -597 nt565 G>A (rs1800797); and IL10–1082 A>G (rs1800896), -819 C>T (rs1800871), -592 C>A (rs1800872). The PCR products were analyzed by electrophoresis on a 3% agarose gel with SYBR™ Safe (Invitrogen Life Technologies, Grand Island, NY, USA) and visualized under UV light. Non-pairing of samples in all the SNPs studied was due to the lack of some samples in the course of the study.
Determination of the cytokine’s serum concentration
IL-1β, IL-8, TNF-α, IL-6, IL-2, IL-5, interferon (IFN)-γ, IL-4, IL-10 and granulocyte-macrophage colony-stimulating factor (GM-CSF) were quantified in the serum of 30 patients and 8 controls using Luminex technology with the human cytokine 10-plex panel (Invitrogen, ThermoFisher Scientific, Inc., Burlington, Ontario, Canada) in accordance with the manufacturer’s instructions. Samples were diluted twice and reactions were performed in duplicate.
These patients were classified according to severity and extension of the disease: fourteen patients had generalized PD and 16 had localized PD; regarding disease severity, 8 patients were classified as slight, 10 as moderate and 12 as severe PD. All patients and controls were nonsmokers, were not on anti-inflammatory drugs and had not taken antibiotics within the last 6 months and had no periodontal treatment during this same time.
According to the manufacturer’s instructions, the minimum detectable concentrations (lowest standard concentration) established for cytokines were: IL-1β, 9.81 pg/ml; IL-8, 12.21 pg/ml; TNF-α, 8.57 pg/ml; IL-6, 7.89 pg/ml; IL-2, 13.31 pg/ml; IL-5, 11.38 pg/ml; IFN-γ, 7.13 pg/ml; IL-4, 34.57 pg/ml; IL-10, 5.42 pg/ml; and GM-CSF, 6.86 pg/ml. When the values were below the sensitivity level, they were replaced by the lower detection threshold value for each analyte. In addition, when more than 50% of the samples had values below the sensitivity level, the analyte was excluded from further analysis and thus, some cytokines were not included in the results.
Statistical analyses
Means and standard deviations were calculated using the OpenEpi software version 3.01 (http://www.openepi.com/Menu/OE_Menu.htm). The SNPStats software (https://www.snpstats.net/start.htm?) was used to evaluate if the estimated genotype distribution between observed and expected frequencies was found in the Hardy-Weinberg equilibrium (HWE), for descriptive analysis, chi-square test and logistic regression. For these analyzes, when all subjects were included, adjustments for smoking habits was made to eliminate this confounding factor. Adjustments for gender were made for all subjects and for nonsmoking groups.
The association tests were performed for codominant, dominant, recessive, overdominant and log-additive genetic inheritance models and the best inheritance model was chosen according to the lowest Akaike information criteria (AIC) [52]. Linkage disequilibrium (LD) among SNPs present in the same chromosome was measured by standardized disequilibrium (D′) and squared correlation (r2) coefficients using expectation-maximization algorithm. A strong LD was considered when D′ > 0.85 and r2 > 0.33 [53]. The permutation test was calculated using Haploview software. The Bonferroni adjustment for multiple testing was not applied because all variants analyzed have been associated to periodontitis in other populations.
QUANTO 1.2.4 software was useful to calculate the statistical power [54]. Considering the total number of individuals, the less frequent SNP (frequency equal to 0.05 for TNF -238), a population risk of 50.0% and a genetic effect of 3.0 there was a statistical power of 83.0% with confidence level of 5.0%. The statistical power for nonsmokers was also calculated, at a power of 82.0% and a genetic effect of 4.0. The statistical power for smokers was not considered satisfactory due to the number of participants in this study, therefore, this group was not considered in the analyses.
The concentration of the cytokines in the serum was estimated from xPONENT® 3.1 software (Luminex Software, Inc.), expressed as pg/mL and adjusted for dilution factor. The normality was checked by the Shapiro Wilk test. The Mann-Whitney U test (https://www.socscistatistics.com/tests/mannwhitney/default2.aspx) was used to analyze the correlation between cytokine concentrations and genotypes, and to compare different groups (patients vs. controls, between patients according to extension of the disease, between patients with different degrees of severity, and extension or severity of disease vs. controls). The P value of less than 5.0% was considered statistically significant in all analyzes.
Results
The clinical characteristics of the individuals are described in Table 1. The patients and controls were matched by gender and age (P ≥ 0.05). Women were 53% of patients and 62% of control group. The mean age was 47.7 ± 8.7 and 45.5 ± 8.8 years for patients and controls, respectively. Most of the individuals who participated in the study were nonsmokers (65.6% for patients and 84.1% for controls). Differences were found for smoking habits: there were more smokers in the PD group than in the control (34.4% vs. 15.9%; P < 0.0001, OR = 2.78, CI = 1.72–4.49), and smoking was a risk factor for PD in women (P = 0.0001; OR = 3.80; CI = 1.89–7.65) but not for PD in men (P = 0.08). Eighty-two patients were classified according to extension and severity of the disease: about half of them had the generalized or localized form and, regarding severity, 24.4% had slight, 41.5% moderate and 34.1% severe PD.
The genotype frequency distributions were consistent with the HWE (P ≥ 0.05), except for IL4–33 which was not included in the association analysis. The SNPs allele and genotype frequency distributions in patients and controls (nonsmokers, all subjects and smokers) were shown in supporting information (S1 Table). Allele frequency distributions were similar for all SNPs analyzed between PD patients and controls. The genotype frequencies of IL1A, IL1R, IL1RN, IL4RA, INFG, TGFB1, TNF, IL2, IL4, IL6 and IL10 polymorphisms were also similar in patients and control (P ≥ 0.05; nonsmokers and all subjects).
SNPs whose genotype and haplotype differed statistically between patients and controls (nonsmokers and all subjects) are shown in Table 2. NLRP3, rs4612666, were analyzed only in nonsmokers and the T/C genotype was more frequent in patients than in controls in codominant, dominant and overdominant models. Considering the AIC value (52), the overdominant model was considered to be the best inheritance model (56.0% vs. 37.3%, P = 0.0029, OR = 2.13, CI = 1.29–3.53). The IL1B -511 T/T genotype was more frequent in nonsmoking patients than in nonsmoking controls (22.8% vs. 12.3%, P = 0.028, OR = 2.10, CI = 1.08–4.11) and in all patients than in all controls (23.8% vs. 14.0%, P = 0.03, OR = 1.85, CI = 1.05–3.26, adjusted for smoking habit), both in a recessive inheritance model (T/T compared to C/C-C/T). The GT haplotype of IL2 (+166, -330) was more frequent in patients than in controls (48.0% vs. 35.3%, P = 0.0091, OR = 1.68, CI = 1.16–2.44 for nonsmokers, and 45.7% vs. 35.7%, P = 0.02, OR = 1.49, CI = 1.09–2.04, for all subjects) compared to the other haplotype (GG + TT + TG). This haplotype association was maintained after permutation test with 10,000 permutations (permutation P = 0.029). A strong linkage disequilibrium (D´ = 0.96, r2 = 0.41) was verified between these IL2 SNPs.
Considering gender and when only the men were analyzed, the NLRP3 T/C genotype frequency was higher in nonsmoker PD compared with nonsmoker controls (P = 0.03, OR = 2.67, CI = 1.15–6.18; Table 3), and no differences in genotype frequency distributions were observed between women. No statistical differences were observed for other SNPs.
After multivariate analysis (Table 3), when genotype frequency distribution in nonsmoking men was compared to the same genotype in nonsmoking women, differences (P < 0.05) were observed and the following genotypes were more frequent in men with PD: IL1R +1970 C/T (OR = 2.34, CI = 1.09–5.01), IL6–174 G/C (OR = 2.68, CI = 1.13–6.33), TNF -308 G/G (OR = 1.97, CI = 1.09–3.57), IL2–330 T/T (OR = 2.76, CI = 1.25–6.08), TGFB1 +869 T/T (OR = 3.78, CI = 1.36–10.51), TGFB +915 G/G (OR = 2.15, CI = 1.22–3.80), IL4RA +1902 G/A (OR = 4.32, CI = 1.81–10.36), IL4 −1098 T/T (OR = 2.16, CI = 1.14–4.08), IL4–590 C/T (OR = 2.73, CI = 1.23–6.05). When considering all subjects, the IL6–174 G/C (OR = 2.14, CI = 1.04–4.41) and IL4RA +1902 G/A (OR = 2.85, CI = 1.36–5.94) were also more frequent in men when compared to the same genotype in women. The GT haplotype of IL2 (+166, -330) was also higher in men compared to women carrying the same haplotype (OR = 3.89, CI = 1.29–11.71 for nonsmokers; OR = 3.10, CI = 1.22–7.88 for all subjects).
Considering the sensitivity of the method used to detect serum cytokine concentrations, in addition to using half-diluted serum, not all cytokine serum levels could be detected in patients and controls. Thus, serum concentration was evaluated only for IL-8, IFN-γ, IL-4, IL-10 and GM-CSF (Table 4). Differences in the cytokine serum levels were not observed when patients were compared to controls and when genotypes were correlated with cytokine concentration. However, there was a tendency for the IL-4 serum levels to decrease in patients compared to controls (P = 0.057).
Differences were found when patients were grouped according to severity of PD (slight, moderate and severe). The concentration of IFN-γ was lower in the serum of patients with the severe degree of the disease when compared to the moderate degree (P = 0.04). The IL-4 serum levels were lower in patients with slight degree of PD when compared to the controls (P = 0.02).
Discussion
In order to contribute to a better understanding of the complex mechanisms involved in immunopathogenesis of periodontitis, polymorphisms in inflammasome and cytokines genes were analyzed in this case-control study. Although the influence of NLRP3, IL1B and IL2 polymorphisms in the development of PD have been reported in other populations [11,55], this is the first study involving these SNPs in PD patients and controls from southern of Brazil. A careful selection of the participants in this study and a judicious analysis of the data were considered.
We found that NLRP3 (rs4612666) T/C genotype, IL1B -511 T/T genotype and IL2 GT (+166, -330) haplotype were associated to susceptibility to PD, regardless of smoking habits. In addition, many immune gene variants were considered susceptibility factors for PD development in men but not in women: NLRP3 T/C, IL1R +1970 C/T, IL6–174 G/C, TNF -308 G/G, IL2–330 T/T, TGFB1 +869 T/T, TGFB +915 G/G, IL4RA +1902 G/A, IL4–1098 T/T and IL4–590 C/T genotypes, and IL2 +166, -330 GT haplotype.
Some environmental and biological risk factors were previously associated with the development of PD, including smoking habits and gender [56]. Individuals who smoke cigarettes have a higher risk of developing PD, its severe form and have minor response to treatment compared to those who never smoked [57]. Consequences of smoking habits include immunosuppression and impaired cell functions such as in tissue repair promoted by fibroblasts [58,59]. In our study smoking cigarettes was a risk factor for the disease. In order to avoid bias, we analyzed only nonsmoking patients versus nonsmoking controls, and smoking was an adjustment variable when all individuals (smokers and nonsmokers) were analyzed. At this time, men have been considered to be more susceptible to periodontitis than women due to hormonal factors, personal hygiene habits and poor health prevention habits [60]. So, patients and controls were matched by gender.
In this study, NLRP3 T/C genotype was associated with the risk of PD in nonsmokers. To our knowledge, only one study was conducted to investigate the influence of NLRP3 polymorphism in periodontitis: it was in a Colombian cohort with similar results to ours, where the authors found that NLRP3 T/C genotype was a risk factor for PD [55]. The NLRP3 mutated allele (C) is a variant in the intron 7 of chromosome 1q44 and was previously correlated to the higher transcriptional activity of the gene when compared to the wild T allele [61]. An over expression of the NLRP3 inflammasome and a downregulation of NLRP3 inhibitors were observed in the gingival tissue of patients with PD [28,31,39]. The NLRP3 activation depends on signals provided by recognition of PAMPs, such as microbial lipopolysaccharides (LPS), and DAMPs (ie. extracellular adenosine triphosphate—ATP) through PRRs [62]. To confirm this biological mechanism, in vitro studies have shown that periodontopathogenic bacteria, such Porphyromonas gingivalis, Aggregatibacter actinomycetemcomitans and Fusobacterium nucleatum, are involved in the increased expression of NLRP3. The higher expression of NLRP3 stimulates the maturation and secretion of IL-1β [38,63,64] and IL-18 [32,63], and the pyroptic cell death [38] leading to an exacerbated inflammation in the periodontium tissue. However, the induction of NLRP3 also involves endogenous host factors such as ATP released by dying or injury of the cells [65]. Thus, in addition to the signals provide by the pathogen for NLRP3 activation, the polymorphism related to higher transcriptional activity of the NLRP3 gene should be consider to better understand the inflammation pathway in the pathogenesis of PD.
IL-1β production is regulated by the inflammasome complex. IL-1β is a potent inflammatory mediator and bone-resorbing cytokine. This cytokine induces the chemotaxis of neutrophils and macrophages, the production of prostaglandin E2 and metalloproteinases, and the activation of lymphocytes and osteoclasts [66]. The higher IL-1β secretion was previously correlated to -511 T/T genotype [67]. We found that the IL1B -511 T/T genotype was associated to the risk of periodontitis in nonsmokers and in all subjects in this Southern Brazilian population. Previous findings had showed that the T allele was associated to periodontitis in Afro-Americans and Mulattos from the southeastern region of Brazil [68] and also in the Chinese population as shown in two meta-analysis studies [8,9]. The T/T genotype in codominant (T/T vs. C/C) and dominant (C/T + T/T vs. C/C) inheritance models were also associated to PD in Chinese [8]. Otherwise, in a cohort study conducted in Japanese pregnant women, the -511 C/T genotype showed a protective association to periodontitis after the adjustment of the odds ratio [69]. Other studies found no association between IL1B -511 polymorphism and periodontitis in southeastern Brazilian populations and in Indian [10,70]. As previously described, the IL-1β levels do not always decrease after periodontal therapy [24,25], thus, the knowledge that intrinsic host factors upregulate the inflammasome pathway and IL-1β production can be considered.
Other important finding in the study was that the haplotype composed by the IL2 wild alleles (G at +166 and T at -330 positions) was a susceptibility factor for the development of periodontitis, although no association was observed for alleles and genotypes when each SNP was separately analyzed. Because these SNPs were in linkage disequilibrium in this studied population, the relevance of the biological function could occur when they were inherited together. In a study conducted in another Brazilian population, the IL2–330 T/T was associated to severity of PD in the dominant inheritance model (T/T vs. T/G+G/G) [11]. Differently, in Chinese, IL2–330 G allele and G/G genotype were a risk for periodontitis and were linked to higher levels of the IL-2 in the serum of these patients [71]. Another study showed that the IL2 T/T+T/T genotypes (+166 and -330) when present in the same haplotype were factors of susceptibility to PD and were associated with higher burden of P. gingivalis and other bacteria from the red complex (Tannerella forsythensis and Treponema denticola) in the oral cavity; but when the IL2–330 T/T was individually analyzed, it was a protective factor for PD [72]. In Iranians, no association was found between IL2–330 and PD [73]. In vitro, T cells of individuals with IL2–330 G/G genotype was associated with higher IL-2 production when compared to cells of individuals with T/G and T/T genotypes [72]. However, there is no consensus about IL2 +166 polymorphism and IL-2 production. IL-2 is a pro-inflammatory cytokine that mediates the activation, growth and differentiation of T cell subsets, B lymphocytes and NK cells directing the cellular immunity against periodontopathogenic bacteria [42]. In vitro, the decrease in IL-2 production was related to a reduction in the functional capacity of T lymphocytes from the periodontal tissue [74]. Moreover, periodontophatogenic bacteria such as A. actinomycetemcomitans and F. nucleatum may develop evasion mechanisms by inducing a suppression of cell-mediated immunity [75,76]. Thus, we suppose that the haplotype related to lower IL-2 production could induce a downregulation of specific immune response, giving an opportunity for bacterial plaque growth.
After multivariate analysis we observed a tendency (limited by the low statistical power) of men to be predisposed to the disease when in the presence of some polymorphisms in the inflammasome, cytokine and cytokine receptor genes, regardless of cigarette use. Previous studies had found a correlation between immune gene polymorphisms and men’s susceptibility to PD [77,78], including Southern Brazilians patients [13,79]. Thus, our data corroborates in emphasizing the importance of genetic factors in men’s susceptibility to developing PD.
As to cytokine concentration analysis, GM-CSF, IL-8, IFN-γ, IL-4 and IL-10 were measured in the serum and no differences were found in the cytokine levels between patients and controls. These results were consistent with others [80–83]. However, when patients were classified according to disease severity, the IFN-γ was lower in the serum of patients with severe PD compared to those with moderate PD (although not significant with slight severity and controls). Other studies have shown higher IFN-γ in serum of patients with PD compared to controls [84,85]. IFN-γ acts on neutrophils and macrophage activation controlling periodontal infection and decreasing A. actinomycetemcomitans infection in mice [86]. In addition, IFN-γ acts on Th1 cells signalization, promoting their differentiation and inducing proinflammatory cytokines production [87]. This cytokine may also inhibit osteoclastogenesis and control bone resorption, as previously shown [85,88,89]. Lower concentration of IFN-γ could favor an uncontrolled infection or/and leading to more tissue damage. Added to this, IL-4 levels were lower in patients with slight PD when compared to controls, and this was consistent with previous studies [90,91]. Lower IL-4 levels were also found when PD patients had smoking habits and/or diabetes [91]. IL-4 produced at sites of infection can induce Th2 lymphocyte differentiation and activate antibody production by B cells and inhibit the Th1 response [92]; the Th2 response decreased bone loss in PD [93].
This study intends to assist in some points that may be unclear regarding the immunopathogenesis of PD. First point, not all individuals who are in contact with oral pathogen develop the disease. Second, downregulation of the immune system molecules does not always occur after periodontal therapy. Third, does the greater predisposition of men to develop the periodontitis go beyond biological factors? It is known that genetic factors have an important influence in the innate and adaptive immune system and contribute to the different responses in individuals with PD. We demonstrated that the genotype of high IL-1β production and the genotype related to high transcriptional activity of NLRP3 were associated with PD susceptibility. It is possibly that these genetic variations influence PD by upregulating the IL-1β production, a proinflammatory cytokine related to periodontal tissue damage. We also showed that IL2 haplotype, related to low IL-2 production, was related to PD susceptibility. Downregulation of IL-2 could be corroborating in the suppression of cell-mediated immunity and causing susceptibility to infection. In addition, our study helped in understanding the relationship between man and periodontitis by demonstrating that polymorphisms in NLRP3 and cytokine genes are associated with the risk of developing PD.
This study had limitations due to the low number of individuals when analyzing subgroups and the non-pairing of samples in all analyzed genes, due to the lack of some samples in the course of the study. In addition, it was not possible to determine the serum levels of some cytokines, especially the IL-1β. Moreover, the concentration of cytokines was also not evaluated in GCF and saliva. The expression of the inflammasome and cytokine genes was not available in gingival tissue.
Conclusions
The polymorphisms in NLRP3, IL1B and IL2 genes influence the development of periodontitis, independently of smoking habits. In addition, the polymorphisms in NLRP3, IL1R, TNF, IL6, IL2, IL4 and IL4RA genes were associated with periodontitis in the males.
Supporting information
S1 Table [docx]
Allele and genotype frequency distributions of , , , , , , , , , , and gene polymorphisms in patients with periodontitis and controls (nonsmokers, all subjects and smokers).
Zdroje
1. Nazir MA. Prevalence of periodontal disease, its association with systemic diseases and prevention. Int J Health Sci (Qassim). 2017;11(2): 72–80.
2. Hong M, Kim HY, Seok H, Yeo CD, Kim YS, Song JY, et al. Prevalence and risk factors of periodontitis among adults with or without diabetes mellitus. Korean J Intern Med. 2016;31(5): 910–9. doi: 10.3904/kjim.2016.031 27604799
3. Contreras A, Moreno SM, Jaramillo A, Pelaez M, Duque A, Botero JE, et al. Periodontal microbiology in Latin America. Periodontol 2000. 2015;67(1): 58–86. doi: 10.1111/prd.12074 25494598
4. Honda T, Domon H, Okui T, Kajita K, Amanuma R, Yamazaki K. Balance of inflammatory response in stable gingivitis and progressive periodontitis lesions. Clin Exp Immunol. 2006;144(1): 35–40. doi: 10.1111/j.1365-2249.2006.03028.x 16542362
5. Okui T, Aoki-Nonaka Y, Nakajima T, Yamazaki K. The Role of Distinct T Cell Subsets in Periodontitis-Studies from Humans and Rodent Models. Curr Oral Heal Reports. 2014;1(2): 114–23.
6. Nibali L, Di Iorio A, Tu Y-K, Vieira AR. Host genetics role in the pathogenesis of periodontal disease and caries. J Clin Periodontol. 2017;44: S52–78. doi: 10.1111/jcpe.12639 27754553
7. Heidari Z, Moudi B, Mahmoudzadeh-Sagheb H. Immunomodulatory factors gene polymorphisms in chronic periodontitis: an overview. BMC Oral Health. 2019;19(1): 29. doi: 10.1186/s12903-019-0715-7 30755190
8. Wang HF, He FQ, Xu CJ, Li DM, Sun XJ, Chi YT, et al. Association between the interleukin-1β C-511T polymorphism and periodontitis: a meta-analysis in the Chinese population. Genet Mol Res. 2017;16(1): 1–9.
9. Nikolopoulos GK, Dimou NL, Hamodrakas SJ, Bagos PG. Cytokine gene polymorphisms in periodontal disease: a meta-analysis of 53 studies including 4178 cases and 4590 controls. J Clin Periodontol. 2008;35(9): 754–67. doi: 10.1111/j.1600-051X.2008.01298.x 18673406
10. Lavu V, Venkatesan V, Venkata Kameswara Subrahmanya Lakka B, Venugopal P, Paul SFD, Rao SR. Polymorphic Regions in the Interleukin-1 Gene and Susceptibility to Chronic Periodontitis: A Genetic Association Study. Genet Test Mol Biomarkers. 2015;19(4): 175–81. doi: 10.1089/gtmb.2014.0275 25710474
11. Scarel-Caminaga RM, Trevilatto PC, Souza AP, Brito RB, Line SRP. Investigation of an IL-2 polymorphism in patients with different levels of chronic periodontitis. J Clin Periodontol. 2002;29(7): 587–91. doi: 10.1034/j.1600-051x.2002.290701.x 12354082
12. Reichert S, Machulla HKG, Klapproth J, Zimmermann U, Reichert Y, Gläser C, et al. Interleukin-2 −330 and 166 gene polymorphisms in relation to aggressive or chronic periodontitis and the presence of periodontopathic bacteria. J Periodontal Res. 2009;44(5): 628–35. doi: 10.1111/j.1600-0765.2008.01173.x 19453859
13. Tsuneto PY, de Souza VH, de Alencar JB, Zacarias JMV, Silva CO, Visentainer JEL, et al. IL18 Polymorphism and Periodontitis Susceptibility, Regardless of IL12B, MMP9, and Smoking Habits. Mediators Inflamm. 2019;2019: 1–9.
14. Ara T, Kurata K, Hirai K, Uchihashi T, Uematsu T, Imamura Y, et al. Human gingival fibroblasts are critical in sustaining inflammation in periodontal disease. J Periodontal Res. 2009;44(1): 21–7. doi: 10.1111/j.1600-0765.2007.01041.x 19515019
15. Garlet GP. Destructive and Protective Roles of Cytokines in Periodontitis: A Re-appraisal from Host Defense and Tissue Destruction Viewpoints. J Dent Res. 2010;89(12): 1349–63. doi: 10.1177/0022034510376402 20739705
16. Sell AM, de Alencar JB, Visentainer JEL, Silva CO. Immunopathogenesis of Chronic Periodontitis. In: Periodontitis—A Useful Reference. InTech. 2017. doi: 10.5772/intechopen.69045
17. Tomás I, Arias-Bujanda N, Alonso-Sampedro M, Casares-De-Cal MA, Sánchez-Sellero C, Suárez-Quintanilla D, et al. Cytokine-based Predictive Models to Estimate the Probability of Chronic Periodontitis: Development of Diagnostic Nomograms. Sci Rep. 2017;7(1): 11580. doi: 10.1038/s41598-017-06674-2 28912468
18. Tâlvan, Chisnoiu D, Rs C. Expression of Interleukin (IL)-1β, IL-8, IL-10 and IL-13 in Chronic Adult Periodontitis Progression. Arch Med. 2017;9. doi: 10.21767/1989-5216.1000219
19. Perozini C, Chibebe PCA, Leao MVP, Queiroz C da S, Pallos D. Gingival crevicular fluid biochemical markers in periodontal disease: a cross-sectional study. Quintessence Int. 2010;41(10): 877–83. 20927426
20. Miller CS, King CP, Langub MC, Kryscio RJ, Thomas MV. Salivary biomarkers of existing periodontal disease: a cross-sectional study. J Am Dent Assoc. 2006;137(3): 322–9. doi: 10.14219/jada.archive.2006.0181 16570465
21. Hou LT, Liu CM, Rossomando EF. Crevicular interleukin-1 beta in moderate and severe periodontitis patients and the effect of phase I periodontal treatment. J Clin Periodontol. 1995;22(2): 162–7. doi: 10.1111/j.1600-051x.1995.tb00128.x 7775673
22. Holmlund A, Hanstrom L, Lerner UH. Bone resorbing activity and cytokine levels in gingival crevicular fluid before and after treatment of periodontal disease. J Clin Periodontol. 2004;31(6): 475–82. doi: 10.1111/j.1600-051X.2004.00504.x 15142219
23. Thunell DH, Tymkiw KD, Johnson GK, Joly S, Burnell KK, Cavanaugh JE, et al. A multiplex immunoassay demonstrates reductions in gingival crevicular fluid cytokines following initial periodontal therapy. J Periodontal Res. 2010;45(1): 148–52. doi: 10.1111/j.1600-0765.2009.01204.x 19602112
24. Goutoudi P, Diza E, Arvanitidou M. Effect of periodontal therapy on crevicular fluid interleukin-1β and interleukin-10 levels in chronic periodontitis. J Dent. 2004;32(7): 511–20. doi: 10.1016/j.jdent.2004.04.003 15304296
25. Aral K, Aral CA, Kapila Y. Six-month clinical outcomes of non-surgical periodontal treatment with antibiotics on apoptosis markers in aggressive periodontitis. Oral Dis. 2019;25(3): 839–47. doi: 10.1111/odi.13032 30614174
26. Dagenais M, Skeldon A, Saleh M. The inflammasome: in memory of Dr. Jurg Tschopp. Cell Death Differ. 2012;19(1): 5–12. doi: 10.1038/cdd.2011.159 22075986
27. Abdul-Sater AA, Saïd-Sadier N, Ojcius DM, Yilmaz O, Kelly KA. Inflammasomes bridge signaling between pathogen identification and the immune response. Drugs Today (Barc). 2009;45 Suppl B:105–12.
28. García-Hernández AL, Muñoz-Saavedra ÁE, González-Alva P, Moreno-Fierros L, Llamosas-Hernández FE, Cifuentes-Mendiola SE, et al. Upregulation of proteins of the NLRP3 inflammasome in patients with periodontitis and uncontrolled type 2 diabetes. Oral Dis. 2018;25(2): odi.13003.
29. Zhen Y, Zhang H. NLRP3 inflammasome and inflammatory bowel disease. Vol. 10, Frontiers in Immunology. Front Immunol. 2019;10:276. doi: 10.3389/fimmu.2019.00276 30873162
30. Isaza-Guzmán DM, Medina-Piedrahíta VM, Gutiérrez-Henao C, Tobón-Arroyave SI. Salivary Levels of NLRP3 Inflammasome-Related Proteins as Potential Biomarkers of Periodontal Clinical Status. J Periodontol. 2017;88(12): 1329–38. doi: 10.1902/jop.2017.170244 28691886
31. Aral K, Berdeli E, Cooper PR, Milward MR, Kapila Y, Berdeli A, et al. Differential expression of inflammasome regulatory transcripts in periodontal disease. J Periodontol. 2019. doi: 10.1002/JPER.19-0222 31557327
32. Bostanci N, Emingil G, Saygan B, Turkoglu O, Atilla G, Curtis MA, et al. Expression and regulation of the NALP3 inflammasome complex in periodontal diseases. Clin Exp Immunol. 2009;157(3): 415–22. doi: 10.1111/j.1365-2249.2009.03972.x 19664151
33. Zhou X, Zhang P, Wang Q, Ji N, Xia S, Ding Y, et al. Metformin ameliorates experimental diabetic periodontitis independently of mammalian target of rapamycin (mTOR) inhibition by reducing NIMA-related kinase 7 (Nek7) expression. J Periodontol. 2019;90(9): 1032–42. doi: 10.1002/JPER.18-0528 30945296
34. McAllister MJ, Chemaly M, Eakin AJ, Gibson DS, McGilligan VE. NLRP3 as a potentially novel biomarker for the management of osteoarthritis. Osteoarthr Cartil. 2018;26(5): 612–9. doi: 10.1016/j.joca.2018.02.901 29499288
35. He H, Jiang H, Chen Y, Ye J, Wang A, Wang C, et al. Oridonin is a covalent NLRP3 inhibitor with strong anti-inflammasome activity. Nat Commun. 2018;9(1): 2550. doi: 10.1038/s41467-018-04947-6 29959312
36. Zhao D, Wu Y, Zhuang J, Xu C, Zhang F. Activation of NLRP1 and NLRP3 inflammasomes contributed to cyclic stretch-induced pyroptosis and release of IL-1β in human periodontal ligament cells. Oncotarget. 2016;7(42):68292–302. doi: 10.18632/oncotarget.11944 27626170
37. Rocha FRG, Delitto AE, de Souza JAC, Maldonado LAG, Wallet SM, Rossa C. NLRC4 inflammasome has a protective role on inflammatory bone resorption in a murine model of periodontal disease. Immunobiology. 2019. doi: 10.1016/j.imbio.2019.10.004 31848028
38. Park E, Na HS, Song Y-R, Shin SY, Kim Y-M, Chung J. Activation of NLRP3 and AIM2 Inflammasomes by Porphyromonas gingivalis Infection. Bäumler AJ, editor. Infect Immun. 2014;82(1): 112–23. doi: 10.1128/IAI.00862-13 24126516
39. Xue F, Shu R, Xie Y. The expression of NLRP3, NLRP1 and AIM2 in the gingival tissue of periodontitis patients: RT-PCR study and immunohistochemistry. Arch Oral Biol. 2015;60(6): 948–58. doi: 10.1016/j.archoralbio.2015.03.005 25841070
40. Bostanci N, Meier A, Guggenheim B, Belibasakis GN. Regulation of NLRP3 and AIM2 inflammasome gene expression levels in gingival fibroblasts by oral biofilms. Cell Immunol. 2011;270(1): 88–93. doi: 10.1016/j.cellimm.2011.04.002 21550598
41. Ries WL, Seeds MC, Key LL. Interleukin-2 stimulates osteoclastic activity; Increased acid production and radioactive calcium release. J Periodontal Res. 1989;24(4): 242–6. doi: 10.1111/j.1600-0765.1989.tb01788.x 2528623
42. Cerdan C, Martin Y, Courcoul M, Mawas C, Birg F, Olive D. CD28 costimulation up-regulates long-term IL-2R beta expression in human T cells through combined transcriptional and post-transcriptional regulation. J Immunol. 1995;154(3): 1007–13. 7822778
43. Arias-Bujanda N, Regueira-Iglesias A, Alonso-Sampedro M, González-Peteiro MM, Mira A, Balsa-Castro C, et al. Cytokine Thresholds in Gingival Crevicular Fluid with Potential Diagnosis of Chronic Periodontitis Differentiating by Smoking Status. Sci Rep. 2018;8(1):18003. doi: 10.1038/s41598-018-35920-4 30573746
44. Rosenberg NA, Huang L, Jewett EM, Szpiech ZA, Jankovic I, Boehnke M. Genome-wide association studies in diverse populations. Nat Rev Genet. 2010;11(5): 356–66. doi: 10.1038/nrg2760 20395969
45. Armitage GC. Development of a Classification System for Periodontal Diseases and Conditions. Ann Periodontol. 1999;4(1): 1–6. doi: 10.1902/annals.1999.4.1.1 10863370
46. Papapanou PN, Sanz M, Buduneli N, Dietrich T, Feres M, Fine DH, et al. Periodontitis: Consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions. J Periodontol. 2018;89: S173–82. doi: 10.1002/JPER.17-0721 29926951
47. Probst CM, Bompeixe EP, Pereira NF, de O Dalalio MM, Visentainer JE, Tsuneto LT, et al. HLA polymorphism and evaluation of European, African, and Amerindian contribution to the white and mulatto populations from Paraná, Brazil. Hum Biol. 2000;72(4): 597–617. 11048789
48. Reis PG, Ambrosio-Albuquerque EP, Fabreti-Oliveira RA, Moliterno RA, de Souza VH, Sell AM, et al. HLA-A, -B, -DRB1, -DQA1, and -DQB1 profile in a population from southern Brazil. HLA. 2018;92(5): 298–303. doi: 10.1111/tan.13368 30225991
49. Bergström J, Eliasson S, Dock J. A 10-Year Prospective Study of Tobacco Smoking and Periodontal Health. J Periodontol. 2000;71(8): 1338–47. doi: 10.1902/jop.2000.71.8.1338 10972650
50. John SW, Weitzner G, Rozen R, Scriver CR. A rapid procedure for extracting genomic DNA from leukocytes. Nucleic Acids Res. 1991;19(2): 408. doi: 10.1093/nar/19.2.408 2014181
51. Zheng Y, Zhang D, Zhang L, Fu M, Zeng Y, Russell R. Variants of NLRP3 gene are associated with insulin resistance in Chinese Han population with type-2 diabetes. Gene. 2013;530(1): 151–4. doi: 10.1016/j.gene.2013.07.082 23973727
52. Solé X, Guinó E, Valls J, Iniesta R, Moreno V. SNPStats: a web tool for the analysis of association studies. Bioinformatics. 2006;22(15): 1928–9. doi: 10.1093/bioinformatics/btl268 16720584
53. Slatkin M. Linkage disequilibrium—understanding the evolutionary past and mapping the medical future. Nat Rev Genet. 2008;9(6): 477–85. doi: 10.1038/nrg2361 18427557
54. Gauderman WJ. Sample size requirements for matched case-control studies of gene-environment interaction. Stat Med. 2002;21(1): 35–50. doi: 10.1002/sim.973 11782049
55. Isaza-Guzmán DM, Hernández-Viana M, Bonilla-León DM, Hurtado-Cadavid MC, Tobón-Arroyave SI. Determination of NLRP3 (rs4612666) and IL-1B (rs1143634) genetic polymorphisms in periodontally diseased and healthy subjects. Arch Oral Biol. 2016;65: 44–51. doi: 10.1016/j.archoralbio.2016.01.013 26854620
56. Aljehani YA. Risk factors of periodontal disease: Review of the literature. Int J Dent. 2014; 2014: 182513. doi: 10.1155/2014/182513 24963294
57. Albandar JM. Global risk factors and risk indicators for periodontal diseases. Periodontol 2000. 2002;29: 177–206. doi: 10.1034/j.1600-0757.2002.290109.x 12102708
58. Al-Tayeb D. The effects of smoking on the periodontal condition of young adult saudi population. Egypt Dent J. 2008;54: 1–15.
59. Fang Y, Svoboda KKH. Nicotine inhibits human gingival fibroblast migration via modulation of Rac signalling pathways. J Clin Periodontol. 2005;32(12): 1200–7. doi: 10.1111/j.1600-051X.2005.00845.x 16268995
60. Taneja V. Sex Hormones Determine Immune Response. Front Immunol. 2018;9:1931. doi: 10.3389/fimmu.2018.01931 eCollection 2018. 30210492
61. Hitomi Y, Ebisawa M, Tomikawa M, Imai T, Komata T, Hirota T, et al. Associations of functional NLRP3 polymorphisms with susceptibility to food-induced anaphylaxis and aspirin-induced asthma. J Allergy Clin Immunol. 2009;124(4): 779–785. doi: 10.1016/j.jaci.2009.07.044 19767079
62. Yilmaz Ö, Lee KL. The inflammasome and danger molecule signaling: At the crossroads of inflammation and pathogen persistence in the oral cavity. Periodontol 2000. 2015;69(1): 83–95. doi: 10.1111/prd.12084 26252403
63. Belibasakis GN, Johansson A. Aggregatibacter actinomycetemcomitans targets NLRP3 and NLRP6 inflammasome expression in human mononuclear leukocytes. Cytokine. 2012;59(1): 124–30. doi: 10.1016/j.cyto.2012.03.016 22503597
64. Bui FQ, Johnson L, Roberts JA, Hung SC, Lee J, Atanasova KR, et al. Fusobacterium nucleatum infection of gingival epithelial cells leads to NLRP3 inflammasome-dependent secretion of IL-1β and the danger signals ASC and HMGB1. Cell Microbiol. 2016 Jul 1;18(7):970–81. doi: 10.1111/cmi.12560 26687842
65. Guo W, Wang P, Liu Z, Yang P, Ye P. The activation of pyrin domain-containing- 3 inflammasome depends on lipopolysaccharide from Porphyromonas gingivalis and extracellular adenosine triphosphate in cultured oral epithelial cells. BMC Oral Health. 2015 Oct 29;15(1): 133. doi: 10.1186/s12903-015-0115-6 26511096
66. Liu Y-CG, Lerner UH, Teng Y-TA. Cytokine responses against periodontal infection: protective and destructive roles. Periodontol 2000. 2010;52(1): 163–206. doi: 10.1111/j.1600-0757.2009.00321.x 20017801
67. Chen H, Wilkins LM, Aziz N, Cannings C, Wyllie DH, Bingle C, et al. Single nucleotide polymorphisms in the human interleukin-1B gene affect transcription according to haplotype context. Hum Mol Genet. 2006;15(4): 519–29. doi: 10.1093/hmg/ddi469 16399797
68. Trevilatto PC, de Souza Pardo AP, Scarel-Caminaga RM, de Brito RB, Alvim-Pereira F, Alvim-Pereira CC, et al. Association of IL1 gene polymorphisms with chronic periodontitis in Brazilians. Arch Oral Biol. 2011;56(1): 54–62. doi: 10.1016/j.archoralbio.2010.09.004 20934174
69. Tanaka K, Miyake Y, Hanioka T, Arakawa M. Relationship Between IL1 Gene Polymorphisms and Periodontal Disease in Japanese Women. DNA Cell Biol. 2014;33(4): 227–33. doi: 10.1089/dna.2013.2202 24460370
70. Ribeiro MM, Pacheco RA, Fischer R, Macedo JB. Interaction of IL1B and IL1RN polymorphisms, smoking habit, gender, and ethnicity with aggressive and chronic periodontitis susceptibility. Contemp Clin Dent. 2016;7(3):349–56. doi: 10.4103/0976-237X.188560 27630500
71. Li G, Yue Y, Tian Y, Li J, Wang M, Liang H, et al. Association of matrix metalloproteinase (MMP)-1, 3, 9, interleukin (IL)-2, 8 and cyclooxygenase (COX)-2 gene polymorphisms with chronic periodontitis in a Chinese population. Cytokine. 2012;60(2): 552–60. doi: 10.1016/j.cyto.2012.06.239 22819245
72. Hoffmann SC, Stanley EM, Darrin Cox E, Craighead N, DiMercurio BS, Koziol DE, et al. Association of cytokine polymorphic inheritance and in vitro cytokine production in anti-CD3/CD28-stimulated peripheral blood lymphocytes. Transplantation. 2001;72(8): 1444–50. doi: 10.1097/00007890-200110270-00019 11685118
73. Vahabi S, Nazemisalman B, Hosseinpour S, Salavitabar S, Aziz A. Interleukin-2, -16, and -17 gene polymorphisms in Iranian patients with chronic periodontitis. J Investig Clin Dent. 2018;9(2): e12319. doi: 10.1111/jicd.12319 29400002
74. Kimura S, Fujimoto N, Okada H. Impaired Autologous Mixed-Lymphocyte Reaction of Peripheral Blood Lymphocytes in Adult Periodontitis. Infect Immun.1991; 59(12): 4418–4424. 1834575
75. Shenker BJ, Datar S. Fusobacterium nucleatum inhibits human T-cell activation by arresting cells in the mid-G1 phase of the cell cycle. Infect Immun. 1995;63(12): 4830–6. 7591143
76. Shenker BJ, McArthur WP, Tsai CC. Immune suppression induced by Actinobacillus actinomycetemcomitans. I. Effects on human peripheral blood lymphocyte responses to mitogens and antigens. J Immunol. 1982;128(1): 148–54. 7054277
77. Kavrikova D, Borilova Linhartova P, Lucanova S, Poskerova H, Fassmann A, Izakovicova Holla L. Chemokine Receptor 2 (CXCR2) Gene Variants and Their Association with Periodontal Bacteria in Patients with Chronic Periodontitis. Mediators Inflamm. 2019;2019: 1–8.
78. Naito M, Miyaki K, Naito T, Zhang L, Hoshi K, Hara A, et al. Association between vitamin D receptor gene haplotypes and chronic periodontitis among Japanese men. Int J Med Sci. 2007;4(4): 216–22. doi: 10.7150/ijms.4.216 17848979
79. Zacarias JMV, de Alencar JB, Tsuneto PY, de Souza VH, Silva CO, Visentainer JEL, et al. The Influence of TLR4, CD14, OPG, and RANKL Polymorphisms in Periodontitis: A Case-Control Study. Mediators Inflamm. 2019;2019: 1–10.
80. Boström EA, Kindstedt E, Sulniute R, Palmqvist P, Majster M, Holm CK, et al. Increased Eotaxin and MCP-1 Levels in Serum from Individuals with Periodontitis and in Human Gingival Fibroblasts Exposed to Pro-Inflammatory Cytokines. Ojcius DM, editor. PLoS One. 2015;10(8): e0134608. doi: 10.1371/journal.pone.0134608 26241961
81. Yamazaki K, Honda T, Oda T, Ueki-Maruyama K, Nakajima T, Yoshie H, et al. Effect of periodontal treatment on the C-reactive protein and proinflammatory cytokine levels in Japanese periodontitis patients. J Periodontal Res. 2005;40(1): 53–8. doi: 10.1111/j.1600-0765.2004.00772.x 15613080
82. Becerik S, Öztürk VÖ, Atmaca H, Atilla G, Emingil G. Gingival Crevicular Fluid and Plasma Acute-Phase Cytokine Levels in Different Periodontal Diseases. J Periodontol. 2012;83(10): 1304–13. doi: 10.1902/jop.2012.110616 22248224
83. Al-Rassam ZT, Taha MYM. Serum Cytokines Profiles and Some Salivary Parameters in Chronic Periodontitis Patients in Mosul-Iraq. Int J Sci Basic Appl Res. 2014;16(1): 339–50.
84. Andrukhov O, Ulm C, Reischl H, Nguyen PQ, Matejka M, Rausch-Fan X. Serum Cytokine Levels in Periodontitis Patients in Relation to the Bacterial Load. J Periodontol. 2011;82(6): 885–92. doi: 10.1902/jop.2010.100425 21138356
85. Fiorillo L, Cervino G, Herford AS, Lauritano F, D’Amico C, Lo Giudice R, et al. Interferon Crevicular Fluid Profile and Correlation with Periodontal Disease and Wound Healing: A Systemic Review of Recent Data. Int J Mol Sci. 2018; 19(7). doi: 10.3390/ijms19071908 29966238
86. Garlet GP, Cardoso CRB, Campanelli AP, Garlet TP, Avila-Campos MJ, Cunha FQ, et al. The essential role of IFN-γ in the control of lethal Aggregatibacter actinomycetemcomitans infection in mice. Microbes Infect. 2008;10(5): 489–96. doi: 10.1016/j.micinf.2008.01.010 18403243
87. Schroder K, Hertzog PJ, Ravasi T, Hume DA. Interferon-γ: an overview of signals, mechanisms and functions. J Leukoc Biol. 2004;75(2):163–89. doi: 10.1189/jlb.0603252 14525967
88. Takayanagi H, Ogasawara K, Hida S, Chiba T, Murata S, Sato K, et al. T-cell-mediated regulation of osteoclastogenesis by signalling cross-talk between RANKL and IFN-γ. Nature. 2000;408(6812):600–5. doi: 10.1038/35046102 11117749
89. Kitaura H, Kimura K, Ishida M, Sugisawa H, Kohara H, Yoshimatsu M, et al. Effect of cytokines on osteoclast formation and bone resorption during mechanical force loading of the periodontal membrane. Sci World J. 2014;2014: 617032. doi: 10.1155/2014/617032 24574904
90. Cetinkaya B, Guzeldemir E, Ogus E, Bulut S. Proinflammatory and Anti-Inflammatory Cytokines in Gingival Crevicular Fluid and Serum of Patients With Rheumatoid Arthritis and Patients With Chronic Periodontitis. J Periodontol. 2013;84(1): 84–93. doi: 10.1902/jop.2012.110467 22414257
91. Miranda TS, Heluy SL, Cruz DF, da Silva HDP, Feres M, Figueiredo LC, et al. The ratios of pro-inflammatory to anti-inflammatory cytokines in the serum of chronic periodontitis patients with and without type 2 diabetes and/or smoking habit. Clin Oral Investig. 2019;23(2): 641–50. doi: 10.1007/s00784-018-2471-5 29737428
92. Bluestone JA, Mackay CR, O’Shea JJ, Stockinger B. The functional plasticity of T cell subsets. Nat Rev Immunol. 2009;9(11): 811–6. doi: 10.1038/nri2654 19809471
93. Silva N, Abusleme L, Bravo D, Dutzan N, Garcia-Sesnich J, Vernal R, et al. Host response mechanisms in periodontal diseases. J Appl Oral Sci. 2015;23(3): 329–55. doi: 10.1590/1678-775720140259 26221929
Článek vyšel v časopise
PLOS One
2020 Číslo 1
- S diagnostikou Parkinsonovy nemoci může nově pomoci AI nástroj pro hodnocení mrkacího reflexu
- Je libo čepici místo mozkového implantátu?
- Pomůže v budoucnu s triáží na pohotovostech umělá inteligence?
- AI může chirurgům poskytnout cenná data i zpětnou vazbu v reálném čase
- Nová metoda odlišení nádorové tkáně může zpřesnit resekci glioblastomů
Nejčtenější v tomto čísle
- Severity of misophonia symptoms is associated with worse cognitive control when exposed to misophonia trigger sounds
- Chemical analysis of snus products from the United States and northern Europe
- Calcium dobesilate reduces VEGF signaling by interfering with heparan sulfate binding site and protects from vascular complications in diabetic mice
- Effect of Lactobacillus acidophilus D2/CSL (CECT 4529) supplementation in drinking water on chicken crop and caeca microbiome