Home Medicine Species and number of bacterium may alternate IL-1β levels in the odontogenic cyst fluid
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Species and number of bacterium may alternate IL-1β levels in the odontogenic cyst fluid

  • Suzan Cinar ORCID logo EMAIL logo , Fahriye Keskin , Sevgi Ciftci , Sirmahan Cakarer , Firat Selvi , Basak Keskin-Yalcin and Gunnur Deniz
Published/Copyright: May 4, 2018

Abstract

Objectives

The role of oral bacteria in the etiopathogenesis of odontogenic cysts (OC) is controversial. Immune response is regulated by the cytokines secreted during infection. This study aims to describe the association in between bacteria and levels of cytokines in OC.

Methods

Infected OC fluid samples were obtained from 25 odontogenic keratocysts and 14 radicular cysts (RC). Bacteria detection was performed by polymerase chain reaction on bacterial 16S rRNA genes. Cytokine levels in OC fluids were determined using “luminex” method.

Results

Porphyromonas gingivalis was the most common bacteria in all samples (41.03%). Bacteria species number was higher in RCs. The significant difference was detected in terms of interleukine (IL)-1β levels to the number of bacteria contained in cyst fluids (p<0.05). IL1-β level of cyst fluid group containing three or more species of bacteria increased compared with cyst fluid group containing two types of bacteria (p<0.05). IL-1β level was high in cyst fluids with Campylobacter rectus and Treponema denticola or with three or more bacteria species. IL-1β level was higher in the cyst fluids with Enterococcus faecalis negative than E. faecalis positives.

Conclusions

Our results suggest that species and the number of bacterium may differ IL-1β levels in the OC fluid.

Özet

Amaç

Odontojenik kistlerin (OK) etyopatogenezinde oral bakterilerin rolü tartışmalıdır. Bağışıklık yanıtı, enfeksiyon sırasında salgılanan sitokinler tarafından düzenlenir. Bu çalışma, enfeksiyon ajanları olarak bakteriler ile OK sitokin seviyeleri arasındaki ilişkiyi tanımlamaktadır.

Metod

Enfekte OK sıvı örnekleri 25 keratokist ve 14 radiküler kist (RK)’dan elde edildi. Bakteri tespiti bakteri 16S rRNA genlerine dayanan bir polimeraz zincir reaksiyonu (PZR) ile gerçekleştirildi. OK sıvılarındaki sitokin seviyeleri “luminex” yöntemi kullanılarak belirlendi.

Bulgular

Porphyromonas gingivalis, tüm örneklerde en sık görülen bakteriydi (% 41.03). Bakterilerin tür sayısı RK’lerde daha yüksekti. Kist sıvılarında bulunan bakteri sayısına göre interlökin (IL)-1β düzeyleri bakımından anlamlı fark tespit edildi (p>0.05). Üç veya daha fazla bakteri içeren kist sıvı grubunun IL1-β seviyesi, iki tür bakteri içeren kist sıvı grubuna kıyasla artmıştır (p<0.005). Özellikle üç veya daha fazla bakteri bulunan veya Campylobacter rectus veya Treponema denticola’lı kist sıvılarında IL-1β seviyesi yüksekti. İlginç şekilde, IL-1β düzeyi Enterococcus faecalis negatif kist sıvılarında E. faecalis pozitiflerinkinden daha yüksekti.

Sonuç

Sonuçlarımız, OK sıvısındaki bakteri türlerinin ve sayısının IL-1β düzeylerinde farklılığa neden olabileceğini düşündürmektedir.

Introduction

Odontogenic cysts (OCs) originating from odontogenic epithelium are commonly seen pathological jaw lesions in the oral and maxillofacial surgery practice. They are divided into two groups, one being developmental and the other being inflammatory. Inflammatory cysts are thought to arise from inflammation-induced epithelial proliferation with subsequent central liquefaction [1]. Inflammatory radicular cysts (RCs) and developmental odontogenic keratocysts (OKCs) are the two most commonly encountered types in our practice. Infection of necrotic teeth are responsible for the formation of RCs and progress as apical lesions whereas OKCs react with an inflammatory response to chronic irritation caused by necrotic teeth [2]. Although studies have shown that periodontal inflammations’ initation is often caused by oral bacteria including periapical lesions, there’s still limited research to define the responsible bacteria [3]. The proinflammatory cytokines and inflammation-associated growth factors are playing a role in the development of OKCs [4], [5]. Interleukin-1 (IL-1), IL-12, tumor necrosis factor-alpha (TNF-α) and IL-15 are secreted from macrophages during bacterial infections and regulate the immune response [6], [7]. Cytokines (IL-1, IL-12, TNF-α) are also responsible for systemic response to infections. IL-1α and TNF-α are important mediators contributing to the development of cysts. IL-1α and TNF-α were shown to stimulate the production of osteoclast-like multinucleated cells and enhance the activity of osteoclasts’ bone resorption [5]. IL-12 (natural killer cell stimulatory factor 2, cytotoxic lymphocyte maturation factor 2, p40) causes local release of interferon-gamma (IFN-γ) from natural killer cells (NK) and T lymphocytes, stimulates the cytolytic activity of NK cells and also alerts the adaptive immune response by forwarding type-1 helper T cells (Th1) [7]. IL-15 is a pleiotropic cytokine that plays an important role in both innate and adaptive immune systems [7], [8], [9]. There are limited studies investigating the levels of cytokines in OCs and these have usually examined pro-inflammatory cytokines [5], [10], [11] or growth factors [4]. The aim of this study is to detect the levels of macrophage-originated cytokines (IL-1β, IL-12, IL-15 and TNF-α) as response to bacterial infection and the bacterial content in OC fluids.

Materials and methods

Study population

The cyst fluid (CF) samples were collected at Istanbul University, Faculty of Dentistry, Department of Oral and Maxillofacial Surgery. The study population consisted of otherwise healthy subjects who had either RCs or OKCs. Of those, study sample was chosen from the subjects only with clinically visible jaw expansions due to the cyst wall’s pressure, and with a history of symptomatic infection with purulent cyst fluid (CF) on aspiration. Exclusion criteria included usage of antimicrobial therapy, receival of antiviral or immunosuppressive therapies, or having an obvious mucosal breach or portal entry for infection via the oral cavity. Subjects who had OCs with a diameter <1 cm (measured on an orthopantomograph) were also excluded due to the possibility of inability to obtain adequate CF. As such, the final study sample consisted of 39 subjects with 25 OKCs and 14 RCs. Cone beam computerized tomography (CBCT) scans were used for the evaluation of the borders of the lesions, including the buccal expansions. Purulent CF was observed by inspection, and confirmed by histopathological analysis. Ethical Committee permission from Local Ethical Committee of Istanbul University, Istanbul Faculty of Medicine (no: 2008/3205) was obtained and the study protocol was in compliance with the Helsinki Declaration. Written informed consent was obtained from all subjects of the study.

Collection of samples

Disposable 19 gauge needles were used to collect OC fluids, attached to syringes, and then these were transferred into eppendorf tubes. During the entire procedure, salivary contamination was avoided using meticulous high-volume suction. The remaining cyst epitelium was then enucleated and sent for histopathological examination. Regarding the histopathological diagnosis OKCs and RCs samples were isolated for further analysis. Before extraction of genomic deoxyribonucleic acid (DNA) and determination of cytokine levels, all samples were immediately transferred and stored at −20°C.

DNA extraction

DNA was extracted from OCs fluid using a MagNA Pure Compact DNA Isolation Kit (Roche Diagnostics GmbH, Germany). The polymerase chain reaction (PCR) method was used to detect bacteria.

Identification of bacterial content with PCR

Species-specific oligonucleotide primers were used to detect the target microbial species. A pair of bacterial primers that matched almost all bacterial 16S ribosomal ribonucleic acid (rRNA) genes in the same position, except the 18S rRNA gene from the eukaryotic cells, was used as a positive control for the PCR reaction. This served as an indicator of the presence of bacteria in clinical samples. Specific primers for Tannerella forsythia (T. forsythia), Treponema denticola (T. denticola), Campylobacter rectus (C. rectus), Porphyromonas gingivalis (P. gingivalis), Provetella intermedia (P. intermedia), and Provetella nigrescens (P. nigrescens), were described by Ashimoto et al. [12]. Porphyromonas endodontalis (P. endodontalis), Provetella pallens (P. pallens), Dialister pneumosintes (D. pneumosintes), Filifactor alocis (F. alocis), Fusobacterium nucleatum (F. nucleatum) [13], [14] and Enterococcus faecalis (E. faecalis) were described by Siqueira and Rocas [13]. PCR amplification and methods were performed according to the aforementioned literature [12], [13], [14]. PCR products were analyzed by 1.5% agarose gel electrophoresis performed at 4 V/cm in a tris-acetate EDTA buffer. The gel was stained with 0.5 L/mL ethidium bromide and photography was performed under a 300 nm ultraviolet transilluminator. As size markers, either 100 base pair (bp) or 1 kb DNA ladder digest (MBI Fermantas) was used. Band of the expected size’s presences was concidered “positive” in the results.

Determination of cytokine levels in cyst fluid

The profiles of cytokine levels (IL-1β, IL-12, IL-15 and TNF-α) in CF were determined by authors SC and GD using a Human Cytokine LINCOplex kit (LINCO Research, Inc. USA) by Luminex technology. CF samples were centrifuged at 1000 g for 5 min, and the analyses of supernatant fractions were performed. The kit is capable of detecting four cytokines in one well up to 10,000 pg/mL. Cytokine concentrations were calculated via mean fluorescent intensity (MFI) found on BioPlex (Bio-Rad Laboratories, Inc.) with Bio-Plex manager Software 4.1.

Statistical analysis

Non-parametric tests as Mann-Whitney U (MW-U), Kruskal-Wallis (KW), and Chi-square test were used instead of Shapiro-Wilks Test due to the fact that the data was not normally distributed. Data were analyzed with KW and post-hoc MW-U tests. The Bonferroni correction was used. Statistical analysis was carried out using SPSS 21 statistical software (SPSS Inc, Chicago, IL, USA). p-Values less than 0.05 were considered statistically significant.

Results

Cysts and patient

The study sample consisted of 28 males (M, 71.8%) and 11 females (F), and ages ranged from 21 to 68 years. The OKCs group included 18 M (72.0%), 7 F and RCs included 10 M (71.4%), 4 F (Table 1). In both groups, male-to-female ratio was 2.5:1. Gender variable was statistically significant in favor of males in all cyst groups (Chi-square test p=0.006, p=0.028, respectively). No statistically significant difference was observed in the OC type regarding the age of patients and the size of lesions (MW-U test p>0.05, p>0.05, respectively).

Table 1:

The median and interquartile range of data in the patients of the OKC and RC groups.

Age (years)MaleFemaleIL-1β (pg/mL)IL-12 (pg/mL)IL-15 (pg/mL)TNF-α (pg/mL)
OKC group (n=25)43 (21–68)1875.33 (0–335.21)0 (0–9.42)4.06 (0–16.95)0 (0–61.24)
RC group (n=14)47 (24–64)10411.5 (0–2043)0 (0–10.38)3.34 (0–16.31)2.495 (0–111.01)
Assay sensitivitiesa0.190.230.630.22
pbNSNSNSNS
Total (n=39)45 (21–68)2811
  1. IL-1β, Interleukine-1 beta; IL-12, interleukine-12; IL-15, interleukine-15; NS, non significant; OKC, odontogenic keratocyst; RC, radicular cysts; TNFα, tumor necrosis factor-alpha. aMinimum detectable concentrations, bMann-Whitney U test.

Bacterial content

In 34 (87.18%) of the studied specimens, bacteria presence was positive. The red complex (T. forsythia, P. gingivalis, T. denticola) was negative in all samples. P. gingivalis was the most common type, in all samples (n=16, 41.03%, Table 2). Additionally, F. nucleatum (n=10, 25.64%), P. intermedia (n=9, 23.08%) were identified. During analysis of the cysts to determine the number of bacterial species, seven different species of bacteria were identified in one sample, 5 in two, 4 in three, 3 in four, 2 in 13 and 1 in 11 samples. No bacteria was detected in five subjects (12.82% in total, 20.00% in OKC). There was no bacterium-free CF in the RC group. More bacteria species were observed in RCs 2 (1–5) [median (min-max)] bacteria than in OKCs 1 (0–7) bacteria (MW-U p=0.009).

Table 2:

Distribution of bacterium species in Ocs.

Name of bacterium speciesOKC (F:M)RC (F:M)Total/OC (F:M)
n=25%n=14%n=39%
Campylobacter rectus3 (2:1)12.003 (1:2)21.436 (3:3)15.38
Dialister pneumocintes1 (0:1)4.002 (1:1)14.293 (1:2)7.69
Entrococcus faecalis5 (1:4)20.003 (1:2)21.438 (1:6)20.51
Filifactor alocis1 (0:1)4.002 (0:2)14.293 (0:3)7.69
Fusobacterium nucleatum4 (2:2)16.006 (1:5)42.8610 (3:7)25.64
Porphyromonas endodontalis002 (0:2)14.292 (0:2)5.13
Porphyromonas gingivalis9 (2:7)36.007 (1:6)50.0016 (3:13)41.03
Prevotella intermedia6 (2:4)24.003 (2:1)21.439 (4:5)23.08
Prevotella nigrescens4 (2:4)16.004 (1:3)28.578 (3:7)20.51
Prevotella pallens001 (0:1)7.141 (0:1)2.56
Treponema denticola2 (0:2)8.004 (1:3)28.576 (1:5)15.38
Tannerella forsythia5 (0:5)20.001 (1:0)7.146 (1:5)15.38
  1. OC, Odontogenic cyst; OKC, odontogenic keratocyst; RC, radicular cysts; F, female; M, male.

Cytokines levels: IL-1β, IL-12, IL-15 and TNF-α

Macrophage-derived cytokines IL-1β, IL-12, IL-15 and TNF-α levels in response to CFs content bacterial infections were determined by luminex (Table 3). The correlation (R) of curves obtained from the standards of all cytokines was 0.900–0.999. High and low concentrations of control serum of the kit were within the expected range. There was no significant difference compared with respect to gender, age, cyst size and type. After the division of CFs in four groups according to the number of bacteria content (0, 1, 2 and ≥3 bacteria, Table 4), a significant difference was detected in terms of IL-1β levels (KWp=0.009). IL1-β level of CF group containing three or more species of bacteria increased compared with CF groups containing two types of bacteria (Figure 1).

Table 3:

Comparison of cytokine levels between RC and OKC [median (min-max) pg mL].

CytokineAssay sensitivitiesaOKCRCpb
IL-1β0.195.33 (0–335.21)11.5 (0–2043)NS
IL-120.230 (0–9.42)0 (0–10.38)NS
IL-150.634.06 (0–16.95)3.34 (0–16.31)NS
TNFα0.220 (0–61.24)2.495 (0–111.01)NS
  1. IL-1β, Interleukine-1 beta; IL-12, interleukine-12; IL-15, interleukine-15; NS, non significant; OKC, odontogenic keratocyst; RC, radicular cysts; TNF-α, tumor necrosis factor-alpha. aMinimum detectable concentrations, pg/mL; bMann-Whitney U test.

Table 4:

Cyst fluid cytokine (IL-1β, IL-12, IL-15 and TNF-α) levels [median (min-max) pg/mL] grouped according to the number of bacteria species.

Number of bacteria speciesnIL-1βIL-12IL-15TNF-α
Bacterium-free510.58 (0–123.26)0 (0–9.42)0.19 (0–8.19)0 (0–0.84)
1 bacterium116.44 (0–335.21)0 (0–10.38)4.06 (0–16.95)0.84 (0–61.24)
2 bacteria130 (0–14.44)0 (0–0.52)4.06 (0–16.31)1.17 (0–16.34)
≥3 bacteria1023.33 (0–2043.11)0 (0–3.24)2.12 (0–15)15.42 (0–111.01)
pa0.009NSNSNS
  1. IL-1β, Interleukine-1 beta; IL-12, interleukine-12; IL-15, interleukine-15; NS, non significant; OKC, odontogenic keratocyst; RC, radicular cysts: TNF-α, tumor necrosis factor-alpha. aKruskall-Wallis test.

Figure 1: After being grouped according to the number of detected bacteria species [0 (n=5): bacterium-free, 1 (n=11) and 2 (n=13) are positive for 1 or 2 bacteria species, ≥3 (n=10): equal or more than three bacteria species] IL-1β levels of cyst fluids were significantly different (Kruskal Wallis p=0.009, Mann-Whitney U test p=0.005, α=0.008).
Figure 1:

After being grouped according to the number of detected bacteria species [0 (n=5): bacterium-free, 1 (n=11) and 2 (n=13) are positive for 1 or 2 bacteria species, ≥3 (n=10): equal or more than three bacteria species] IL-1β levels of cyst fluids were significantly different (Kruskal Wallis p=0.009, Mann-Whitney U test p=0.005, α=0.008).

IL-1β levels of the groups, formed depending on whether the identified bacterial species in CF are positive or negative, were compared (Figure 2). A significant difference was found in C. rectus positive n=6; 1006.27 (6.44–2043.11) pg/mL and T. denticola positive n=6; 13.49 (6.44–1706.19) pg/mL, with higher levels of IL-1β observed than relative bacterium negative cases. Different from these, the presence of higher levels of IL-1β in E. faecalis negative CFs n=31; 6.44 (0–2043) pg/mL than E. faecalis positive fluids was observed.

Figure 2: Levels of IL-1β are higher in Campylobacter rectus positive (Cr pos, n=6), Treponema denticola positive (Td pos, n=6) and Enterecoccus faecalis negative (Ef neg, n=31) cyst fluids when compared with Campylobacter rectus negative (Cr neg, n=33), Treponema denticola negative (Td neg, n=33) and Enterecoccus faecalis positive (Ef pos, n=8, Mann-Whitney U test).
Figure 2:

Levels of IL-1β are higher in Campylobacter rectus positive (Cr pos, n=6), Treponema denticola positive (Td pos, n=6) and Enterecoccus faecalis negative (Ef neg, n=31) cyst fluids when compared with Campylobacter rectus negative (Cr neg, n=33), Treponema denticola negative (Td neg, n=33) and Enterecoccus faecalis positive (Ef pos, n=8, Mann-Whitney U test).

Monocyte derived TNF-α, IL-12 and IL-15 cytokine levels were not significantly different.

Discussion

The OKCs are usually asymptomatic and are more commonly found in the posterior mandible of males [15]. RCs represent an inflammatory response to a chronic irritation, whereas OKCs are mostly non-inflammatory lesions [2], [16]. Studies report that the major part of the bacterial content in the OCs are consisted of anaerobes [3], [17]. Scalas et al. [18] observed the number of bacterial species per sample as 2.06±0.93, but they identified bacterial species Propionibacterium acnes (P. acnes) (7/16; 43.75%) and Prevotella spp. (2/16; 12.50%) by microbiological culture techniques. According to our results, the number of bacterial species per sample was similar and we have observed more bacteria species in the RC fluids. On the contrary, common bacteria in both types of CF were P. gingivalis, F. nucleatum and Prevotella spp. (46.15%). P. gingivalis was associated generally with E. faecalis. The discrimination depends on using species-specific PCR primers for identification of bacteria in cysts. We were able to identify bacteria in a more sensitive way however the spectrum was limited to these primers. We can suggest that these anaerobic bacteria may trigger the pathogenesis of cyst formation.

The cytokine IL-1β is a key mediator of host immune response and plays an important role in the development of inflammatory disease and tissue destruction [19], and its precursor is induced in the cytosol of monocytes and macrophages in response to proinflammatory stimuli including pathogenic bacteria [6], [20]. Similarly to IL-6 and TNF-α, it is thought to play a role in bone remodeling, bone resorption, and new bone deposition.

In our study, we have screened IL-1β. IL-12, IL-15 and TNF-α. Although no significant difference for any cytokine level was determined between cysts groups, IL-1β and TNF-α were higher in RC fluids similar to report of Hayashi et al. [21]. Our results, where we identified the protein levels on CF, using Luminex, are in correlation with the results of the quantitative multiplex ELISA kit and Human Cytokine Antibody Array [16], [21]. High IL-1β and TNF-α levels in RC fluid, in addition to higher number of bacteria species in RC, might suggest that a proinflammatory response created by the macrophages might be induced in response to bacteria. Local IL-1 and IL-6 are known to affect epithelial cell proliferation, and as such, IL-1β and TNF-α could affect cyst formation too [22].

Hayashi et al. [21] considered that the expansion mechanisms of RC and OKC involve similar biologic mechanisms other than infection. Alhashimi et al. [23] showed that after the application of orthodontic force on the maxillary first molars of rats, messenger RNA (mRNA) expression IL-1β and IL-6 were inducted but the mRNA of TNF-α was not detected. It can be proposed that the trigger of cytokine production could be also due to the application of orthodontic force. IL-1β level in cysts with no bacteria isolation were not statistically significant yet higher compared to one type of bacteria containing CF group and two types of bacteria containing CF group; this can be explained by the orthodontic forces applied on these subjects.

In vitro studies have been demonstrated IL-1β and TNF-α secretion inducted by live bacteria or by their lipopolysaccharide (LPS) and plays a stimulatory role in maxillofacial abscess formation [6], [24]. Additionally, in adult periodontitis, significant elevation of LPS-stimulated IL-1β and TNF-α was indicated by the gingival crevicular fluid analysis [25]. IL-1β level increased when the CF’s number of species of bacterial content was three or more. Especially in the RC fluids of our study, more bacteria species and elevated IL-1β levels were detected. Increasing bacteria species could trigger IL-1β production. The cytokine response being lower in the few bacteria species containing CFs (one or two bacteria species containing cysts) can be associated with the proteolytic effect of the bacteria. P. gingivalis’s proteolytic effect, down regulating the IL-8, is previously shown in oral epithelial cell cultures in vitro [26]. Other bacteria, including the P. gingivalis need to be investigated in regards to their skipping the innate immunity mechanisms by down regulating the cytokines. Our results suggest that E. faecalis might have a similar effect on IL-1β. However there was no statistically difference in between P. gingivalis positive and P. gingivalis negative proteolytic effect, down regulating the IL-8, is previously shown in oral epithelial cell cultures samples’ IL-1β levels, yet we found high IL-1β level in C. rectus positive and T. denticola positive CFs; this can stimulate cyst formation. According to our results, C. rectus, T. denticola bacteria exacerbated the pathogenesis by increasing the production of IL-1β. However, it was observed that E. faecalis suppresses the secretion of IL-1β. The reason of less IL-1β in CFs with two species bacteria in comparison with one type could be the antagonistic interaction of bacteria or prevention of host inflammatory response by some bacteria such as E. faecalis. In this study, bacterial DNAs were defined as the agent of infection in CF and their relationship was shown with IL-1β.

Although our study reflects local response to cyst, macrophage derived cytokines (IL-1, IL-12, TNF-α) are also responsible of systemic manifestations of infections. TNF-α, as a pleiotropic cytokine, is considered to play a primary role in modifying inflammatory and immune responses to various inflammatory diseases and tumor. It mostly triggers apoptosis and necrosis in sensitive tissues. It has been linked to osteomyelitis and periodontitis, however it can also participate in osteoclast formation and thus help in haemostasis, and the bone resorption in the maxillofacial region [27]. Investigations showed that TNF-α is significantly higher in the RC fluids [5], [27]. In our study, although there was no significant difference between the OKC and RC, the TNF-α levels in RC were higher than OKC that were consistent with aforementioned studies. The idea of anti-inflammatory response, being more dominant in the development of RCs, is also supported by the aforementioned finding.

It has been suggested by previous literature that the gradual diminishing of IFN-γ as the T helper cytokine type 1 response or the transformation of chronic inflammation into cyst formation due to absence of the adaptive immune response [28] however getting chronic innate immune response was supported with these findings. This study focuses on determination of the types of bacteria causing infections in OKCs and RCs and it reveals levels of some cytokine secreted by macrophages as local immune response to infection. Previous microbiological studies on OCs evalueted the bacteriological spectrum or cytokines individually, while in our investigation, however these factors have been investigated together in our study [5], [17], [18], [29], [30], [31]. One of the advantages of Luminex method was that it is supposed to detect the concentration of many different types of protein in OC fluid, so it can be obtained in a small sample volume. The presence of immune-competent cells in OC fluid samples was not investigated and, the relatively small number of the samples in bacteria groups can be considered as limitations of the present study. There’s a need for further in vitro studies are required to clarify the role of each bacterium and other cytokines in the pathogenesis of the OCs.

Conclusion remarks

This study shows the revelation of the relationship between cytokines and bacterial content of OC fluids. It was detected that the increased number of type of bacteria in the CF may cause increased secretion of IL-1β as a sign of activated macrophages. The most common type of bacteria observed in OC fluids were P. gingivalis and Prevotella spp. While some bacteria (C. rectus and T. denticola) cause the secretion of IL-1β at high levels, others (such as E. faecalis) suppress it. IL-1β is thought to be involved more than IL-12, IL-15 and TNF-α in the cyst formation, but not identified as a specific cyst type. However, the IL-1β level was slightly elevated in the RC fluid specimens with increased number of type of bacteria. These findings supported the thought that anti-inflammatory response is responsible for the development of this type of cyst. Further studies are required to clarify the role of these bacteria in the pathogenesis of the OCs. The relatively small number of the samples for bacterial types groups of OC can be considered as a limitation of this study.

Acknowledgments

This study was supported by Scientific Research Projects Coordination Unit of Istanbul University (project number 7586). We would like to thank Dr. Sevda Ozel as being our biostatistics consultant.

  1. Conflict of interest statement: The authors have no conflict of interest.

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Received: 2017-11-28
Accepted: 2018-02-27
Published Online: 2018-05-04

©2018 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. Effects of calcium hydroxide and N-acetylcysteine on MMP-2, MMP-9, TIMP-1 and TIMP-2 in LPS-stimulated macrophage cell lines
  4. Synthesis of fused 1,4-dihydropyridines as potential calcium channel blockers
  5. Optimization of fermentation conditions for efficient ethanol production by Mucor hiemalis
  6. Covalent immobilization of an alkaline protease from Bacillus licheniformis
  7. Major biological activities and protein profiles of skin secretions of Lissotriton vulgaris and Triturus ivanbureschi
  8. Optimized production, purification and molecular characterization of fungal laccase through Alternaria alternata
  9. Adsorption of methyl violet from aqueous solution using brown algae Padina sanctae-crucis
  10. Protective effect of dexpanthenol (vitamin B5) in a rat model of LPS-induced endotoxic shock
  11. Purification and biochemical characterization of a β-cyanoalanine synthase expressed in germinating seeds of Sorghum bicolor (L.) moench
  12. Molecular cloning and in silico characterization of two alpha-like neurotoxins and one metalloproteinase from the maxilllipeds of the centipede Scolopendra subspinipes mutilans
  13. Improvement of delta-endotoxin production from local Bacillus thuringiensis Se13 using Taguchi’s orthogonal array methodology
  14. Enhancing vitamin B12 content in co-fermented soy-milk via a Lotka Volterra model
  15. Species and number of bacterium may alternate IL-1β levels in the odontogenic cyst fluid
  16. Rheo-chemical characterization of exopolysaccharides produced by plant growth promoting rhizobacteria
  17. Benzo(a)pyrene degradation pathway in Bacillus subtilis BMT4i (MTCC 9447)
  18. Indices
  19. Reviewers 2018
  20. Yazar Dizini/Author Index
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