Literature DB >> 24676580

Serum levels of inflammatory markers in type 2 diabetes patients with chronic periodontitis.

Priscila Larcher Longo1, Hilana Paula Carillo Artese2, Marianade Sousa Rabelo2, Dione Kawamoto1, Adriana Moura Foz2, Giuseppe Alexandre Romito2, Sergio Atala Dib3, Marcia Pinto Alves Mayer1.   

Abstract

UNLABELLED: Diabetes has been associated with periodontitis, but the mechanisms through which periodontal diseases affect the metabolic control remain unclear.
OBJECTIVE: This study aimed to evaluate serum leveis of inflammatory markers, IL-8, IL-6 and monocyte chemoattractant protein 1 (MCP-1), in type 2 diabetic patients in the presence of chronic periodontitis.
MATERIAL AND METHODS: Forty two individuals were enrolled in this study and assigned to one of five groups: diabetes mellitus with inadequate glycemic control and periodontitis (DMI+P, n = 10), diabetes mellitus with adequate glycemic control and periodontitis (DMA+P, n = 10), diabetes mellitus without periodontitis (DM, n = 10), periodontitis without diabetes (P, n=6), and neither diabetes nor periodontitis (H, n = 6). Periodontal clinical examination included visible plaque index (PL), gingival bleeding index (GB), probing depth (PD), attachment level (AL) and bleeding on probing (BP). Glycemic control was evaluated by serum concentration of glycated hemoglobin (HbAlc). Inflammatory serum markers IL-8, IL-6 and (MCP-1) were measured by ELISA.
RESULTS: DMI+P and DMA+P groups presented higher PD (p=0.025) and AL (p=0.003) values when compared to the P group. There were no significant differences among groups for IL-6, IL-8 and MCP-1 serum levels.
CONCLUSIONS: Although periodontitis was more severe in diabetic patients, the serum levels of the investigated inflammatory markers did not differ among the groups.

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Year:  2014        PMID: 24676580      PMCID: PMC3956401          DOI: 10.1590/1678-775720130540

Source DB:  PubMed          Journal:  J Appl Oral Sci        ISSN: 1678-7757            Impact factor:   2.698


INTRODUCTION

Type 2 diabetes mellitus (T2DM) is the most common endocrine disorder and its incidence is increasing worldwide. This condition is a serious public health concern due to the need for lifelong care, premature death and the fact that it remains incurable[22]. It is characterized by a progressive deficient secretion and action of insulin. Insulin resistance, whereby target tissues do not respond to this hormone, is a characteristic of the disease's first phase, when there is often a corresponding hyperinsulinemia[1]. This resistance comes together with inflammatory processes in the development of diabetes chronic complications[32]. Among these complications, periodontal diseases (PD) are very common and immune modulating factors are necessary for pathogen clearance, but also contribute to host tissues damage, as those seen in PD. Clues to the involvement of inflammation in diabetes date back to more than a century ago. Proinflammatory molecules as tumor necroses factor (TNF)-α, leptin, interleukin (IL)-6, resistin, monocyte chemoattractant protein-1 (MCP-1) and visfatin, among others, are expressed at high levels in activated macrophages and/or other cells. Proinflammatory cytokines such as TNF-α and IL-1β activate JNK and IKKβ/NF-κB through classical receptor-mediated mechanisms which are also activated by pattern recognition receptors, bound to substances as lipopolissacharide (LPS) from gram negative bacteria. These include the Toll Like Receptors (TLRs) and the receptor for advanced glycation end products (RAGE). Prolonged hyperglycemia and the accompanying production of excess amounts of advanced glycation end products (AGEs) can activate NF-κB. JNK promotes insulin resistance through the phosphorylation of serine residues in insulin receptor signaling (IRS)-1 that negatively regulates normal signaling through the insulin receptor/IRS-1 axis. NF-κB induces insulin resistance by promoting the expression of numerous target genes as those for TNF-α, IL-6, IL-8, MCP-1, MIP-1α, MIP-2, resistin, ICAM-1, VCAM-1[29]. The inflammation associated with PD, characterized by elevated pro-inflammatory cytokines, innate immune receptor expression, and cellular infiltrate is exacerbated in patients with T2DM where TLR-4 and RAGEs play a significant role and contribute to induce responses by oral epithelial cells[2]. The local production of cytokines in response to periodontal bacteria and their products results in higher serum concentrations of pro-inflammatory biomarkers[13] and a poor glycemic control in T2DM patients is associated with a loss of mucosal barrier integrity and accumulation of innate immune receptor ligands resulting in an exacerbation of ongoing inflammation[2]. Thus, the adverse effect of periodontitis in T2DM may be explained by an increase in systemic inflammation, which contributes to insulin resistance[19]. The interrelation between more severe PD and DM is established[8,32] and there are evidences on the importance of cytokine analysis in T2DM evolution[29] and therapy blockade[21]. As chronic or recurring inflammation contributes to an aberrant continuation of acute phase response and may also lead to further diabetes complications, such as micro and macroangiopathy and impaired healing[14,28], it is suggested that periodontal disease with increased inflammatory response at local and systemic levels[30] may collaborate to insulin resistance present on T2DM pathogenesis. However, scientific evidence on the effects of chronic periodontitis on diabetes mellitus remains inadequate and inconclusive[9]. Furthermore, whether periodontal therapy may help to control serum levels of inflammatory cytokines still remains controversial[5]. While some studies showed an effective improvement in periodontal parameters, circulating inflammatory markers and glycemic control after periodontal treatment in patients with T2DM[9,17,32], others have shown that these responses were inconsistent across individuals and not sustainable over time[3,5,19]. The elevated levels of systemic inflammatory mediators, such as IL-6, in obesity or metabolic syndrome enhance the host response to periodontal pathogens, hence increasing the chance of periodontal destruction. IL-6 is a multifunctional cytokine produced by a variety of cells including macrophages, neutrophils, and endothelial cells. The double edge effects (i.e., pro- and anti-inflammatory) of this molecule entail complexity in investigating its role and, until now, no evidence from animal or human studies supports the hypothetical model in which metabolic syndrome-induced IL-6 increases the risk of destructive periodontal disease[18]. Interleukin 8 (IL-8) is a chemokine important for recruiting neutrophils during healing and its levels were shown to be tightly linked to increased susceptibility to periodontitis[12]. Monocyte chemoattractant protein 1 (MCP-1) is also thought to play an important role in inflammatory processes. It has been implicated as a key factor in recruitment and activation of peripheral blood leukocytes in atherosclerotic lesions and adipose tissue. Elevated levels of circulating MCP-1 have been found in patients with T2DM, and experimental data have shown that this protein increases macrophage infiltration, inflammation and insulin resistance in transgenic mice[26]. Some studies[3,6, 9,17,24] have evaluated markers such as interleukin-6 (IL-6), tumor necrosis factor-a (TNF-α), C-reactive protein (CRP), and IL-1β and related them to insulin resistance[24] and glycemic control[3]; however, their results are still conflicting. Based on the evidences that IL-6, IL-8 and MCP-1 are important key markers of immune response, which have been considered as critical mediators of initiation, progression and/or suppression of chronic periodontitis, and that no previous study had analyzed this combination of mediators in groups with and without diabetes and periodontal disease, this study aimed to evaluate serum levels of inflammatory markers, IL-8, IL-6 and MCP-1, in type 2 diabetic patients in the presence of chronic periodontitis.

PATIENTS AND METHODS

This study was conducted between January 2012 and March 2013 in full accordance with the Helsinki Declaration of 1975, as revised in 2000. The study protocol and the informed consent form were reviewed and approved by the Biomedical Sciences Institute Ethics Committee (#011/CEP) from the University of São Paulo (São Paulo, Brazil). T2DM individuals were recruited from the Diabetes Center at the Federal University of São Paulo. Non-diabetic patients were recruited from the School of Dentistry, University of São Paulo. Detailed medical and dental history was obtained from all patients. All volunteers received full mouth periodontal clinical examination performed at six sites per tooth (excluding third molars) from a calibrated examiner (HPCA). Intraexaminer reliability for detecting PDs within 1 mm was >90%. The presence of supragingival biofilm was recorded as plaque index (PL), marginal gingival bleeding was recorded as gingival bleeding (GB); bleeding on probing (BP), probing depth (PD) and attachment level (AL) were also evaluated. The probe used was North Caroline (UNC-15, Hu-Friedy®, Chicago, IL, USA). PL, GB and BP were recorded as absent (0) or present (1). Inclusion criteria were: age ≥35 years, confirmed diagnosis of type 2 diabetes over 3 years (for individuals with T2DM), generalized moderate to severe chronic periodontitis (American Academy of Periodontology, 1998) (≥30% of sites with PD >4 mm and bleeding on probing) and ≥15 remaining teeth. Pregnant women, smokers, patients with Body Mass Index (BMI) >40 kg/m2 or who received periodontal therapy, antibiotic or antiseptic therapy 6 months prior to the study were excluded. Blood samples were obtained and glycated hemoglobin (HbA1c) levels were determined for all individuals at the clinical laboratory of the University of São Paulo Hospital. Approximately 5 ml of blood were collected by venipuncture in untreated tubes (BD Vacutainer Rapid Serum Tube, Becton Dickinson Co., São Paulo, SP, Brazil). Serum was obtained by centrifugation at 2,500 g for 2 minutes, aliquoted and stored at -80°C until further analysis. Quantitative measurement of IL-6, IL-8 and MCP-1 was assayed by enzyme-linked immunosorbent assay (Human Standard ELISA Development Kit, PeproTech Inc., Rocky Hill, CT, USA) and read out using a Micro Plate reader (Model 680, Bio-Rad Laboratories Inc., Hercules, CA, USA). Serum from each patient was tested in triplicate, and a calibration curve was added to each plate. Forty-two individuals were enrolled in this study. Patients with T2DM and periodontitis were divided in two groups, as adequate glycemic control when HbA1c <8.0% (DMA+P, n = 10) and inadequate glycemic control when HbA1c ≥8.0% (DMI + P, n=10). The other 3 groups were composed of T2DM individuals without periodontitis (DM, n = 10), non-diabetic with periodontitis (P, n=6) and non-diabetic without periodontitis (H, n=6). Periodontal clinical data were analyzed using appropriate statistical software (SPSS version 17.0 for Windows, SPSS Inc., Chicago, IL, USA) considering the individual as a study unit. The Kolmogorov-Smirnov test was used to test the variables normality distribution. Data were analyzed by non-parametric statistical methods since data were not normally distributed. Comparisons between groups were determined using Kruskal-Wallis test and Tukey test. Tests were based on median values with variability measures (25% and 75% quartiles). Results were considered statistically significant at p<0.05. For GB, PL and BOP data, percentages of positive sites were obtained per patient and, thereafter, median values were calculated for the groups. For PD and AL, measured by millimeters, percent frequency was first obtained per patient and, thereafter, as a median value for the group. Data from ELISA were analyzed by Kruskal-Wallis and Dunn's Multiple Comparison Test (Prism 5.0 Project, Graph Pad Software Inc., La Jolla, CA, USA). Values were obtained per patient and a median value was calculated for each group.

RESULTS

A total of 546 patients were assessed for eligibility, and only 42 fulfilled the inclusion criteria (Figure 1).
Figure 1

Flow diagram of patients included in the study

Flow diagram of patients included in the study Demographic and HbA1c data from each group are described in Table 1.
Table 1

Demographic characteristics and glycated level (mean±standard deviation) for participants in each group

GROUPS male age BMI HbA1c
H (n=6) 2 50.0±4.38 26.19±3.61 5.18±0.60
P (n=6) 5 47.0±5.25 26.18±3.28 5.43±0.54
DM (n=10) 6 57.2±8.80 26.18±2.37 7.33±0.78
DMA+P (n=10) 6 60.6±10.67 27.34±4.38 6.83±0.78
DMI+P (n=10) 4 52.7±5.54 28.92±6.36 10.86±2.21

DM=type 2 diabetes mellitus; P=Periodontitis; BMI=body mass index. Groups: H (DM-P-), P (DM-P+), DM (DM+P-), DMA+P (DM+with adequate glycemic control P+), DMI+P (DM+with inadequate glycemic control P+)

Demographic characteristics and glycated level (mean±standard deviation) for participants in each group DM=type 2 diabetes mellitus; P=Periodontitis; BMI=body mass index. Groups: H (DM-P-), P (DM-P+), DM (DM+P-), DMA+P (DM+with adequate glycemic control P+), DMI+P (DM+with inadequate glycemic control P+) Table 2 provides periodontal clinical parameters for each group with periodontitis: DMI+P, DMA+P and P. There were significant differences between diabetic (DMI+P and DMA+P) and non-diabetic (P) for PD (p=0.04) and AL (p = 0.01) values indicating a more severe disease among the diabetic patients. The other clinicai parameters did not differ significantly among groups. Intergroup clinical parameters comparison for DMI + P and DMA+P showed no significant differences (data not shown).
Table 2

Medians and quartiles (25-75%) of clinical parameters for the DMA+P, DMI+P and P groups

Clinical DMA+P DMI+P P p
Parameters (n=10) (n=10) (n=6) value
GB (%) 71.35 (55.40-94.02) 59.02 (40.16-90.69) 58.85 (40.22-72.22) 0.34
PL (%) 90.83 (68.00-97.90) 66.70 (52.52-97.00) 66.88 (52.40-81.62) 0.25
BOP (%) 77.56 (68.24-94.54) 67.55 (40.52-93.68) 58.80(43.87-65.82) 0.88
PD (mm) 3.60 (3.17-4.10) 3.40 (3.00-4.10) 3.00 (2.87-3.22) 0.04*
AL (mm) 4.45 (3.82-5.05) 4.20 (3.70-4.90) 3.4 (3.25-3.65) 0.01*

Statistically significance difference between DMA+P;DMI+P and P (Kruskall-Wallis Test and Tukey Test; α=5%). GB= gingival bleeding index; PL=visible plaque index; BOP=bleeding on probing; PD=probing depth; AL=attachment level

Medians and quartiles (25-75%) of clinical parameters for the DMA+P, DMI+P and P groups Statistically significance difference between DMA+P;DMI+P and P (Kruskall-Wallis Test and Tukey Test; α=5%). GB= gingival bleeding index; PL=visible plaque index; BOP=bleeding on probing; PD=probing depth; AL=attachment level There were no differences between groups for IL-6 (p=0.6351), IL-8 (p=0.9460) and MCP-1 (p=0.2987) sera leveis (Figure 2).
Figure 2

IL-6 (A), IL-8 (B) and MCP-1 (C) serum levels in patients without periodontitis and T2DM (H), patients with periodontitis and without T2DM (P), patients with T2DM and without periodontitis (DM), patients with T2DM with adequate glycemic control and periodontitis (DMA+P) and patients with T2DM with inadequate glycemic control and periodontitis (DMI+P). MCP-1=monocyte chemoattractant protein-1; IL-6=interleukin 6; IL-8=interleukin 8; T2DM=Type 2 diabetes mellitus.

IL-6 (A), IL-8 (B) and MCP-1 (C) serum levels in patients without periodontitis and T2DM (H), patients with periodontitis and without T2DM (P), patients with T2DM and without periodontitis (DM), patients with T2DM with adequate glycemic control and periodontitis (DMA+P) and patients with T2DM with inadequate glycemic control and periodontitis (DMI+P). MCP-1=monocyte chemoattractant protein-1; IL-6=interleukin 6; IL-8=interleukin 8; T2DM=Type 2 diabetes mellitus.

DISCUSSION

The present study evaluated clinical and inflammatory parameters among groups with and without T2DM and/or periodontitis. T2DM patients presented significantly higher PD and AL values when compared to group P, without diabetes and with periodontitis. This result is consistent with a number of cross-sectional and longitudinal studies[16,20,31] which had shown that the increased severity of PD in T2DM patients is due to an interorgan crosstalk under inflammatory conditions[18]. The positive correlation between glycemic control and severity of periodontal disease has been reported in the literature[8,15,34]. Thus, we had expected to find a significant relationship between HbA1c levels (representing adequate - HbA1c <8.0% - and inadequate - HbA1c ≥8.0% - glycemic control) and periodontitis severity (in terms of increased PD and BOP). However, the periodontal clinical parameters data did not differ according to the diabetes control, corresponding to DMA+P and DMI+P groups, respectively. We can speculate that, in order to observe correlation, we would need to consider a stricter glycemic control of individuals with T2DM, that is, HbA1c between 6.5 and 7.0%, which would hamper even more the group selection. Besides, HbA1c refers to glycemic control in the last 2 or 3 months and we do not know how the chronic glycemic control in these individuals was. We also have to point out that hyperglycemia is only one factor of the multifactorial process of periodontal disease. There were no differences among IL-6 serum levels in the 5 groups analyzed. The role of locally produced IL-6 in the periodontitis pathogenesis has been demonstrated[4,25], since high levels of this cytokine were detected in symptomatic large lesions rather than in asymptomatic small lesions[4]. This cytokine is overexpressed in sites with PD mainly in patients without diabetes and patients with well-controlled T2DM when compared with patients with poorly controlled diabetes[35]. The effect of periodontal treatment on IL-6 levels showed conflicting data, yielding a tendency toward a decrease[7,32] or increase in serum levels in T2DM patients[33]. Furthermore, a controversial study suggested an increase or no change in serum IL-6 levels in obesity and metabolic syndrome[18]. It should be noticed that T2DM individuals evaluated in the present study were under treatment with insulin, which may have induced low levels of inflammatory biomarkers such as IL-6[6,23], counteracting the high levels induced by periodontal inflammation. In the present study, there were no significant differences in the sera levels of the studied inflammatory markers, MCP-1 and IL-8, among the groups, although previous data demonstrated that both were overexpressed in the gingival tissue with chronic periodontitis[35]. A search in the literature revealed no study in humans regarding T2DM and/ or periodontitis and MCP-1 serum or gingival fluid levels. In rats experimental models, MCP-1 gingival crevicular fluid concentrations did not significantly differ between groups with diabetes and periodontitis and its levels were higher than in control healthy group[27]. High levels of IL-8 were shown in the gingival fluid of subjects with periodontal disease. However, subjects with T2DM presented significantly lower levels of IL-8 in the GCF when compared to healthy ones and there was no correlation between IL-8 gingival levels and HbA1c level[10,11]. Furthermore, IL-8 levels in serum tended to decrease after periodontal therapy in T2DM patients[7]. Due to the use of restrictive inclusion and exclusion criteria, in an attempt to minimize the occurrence of confounding factors, the small sample size is one limitation of this study. However, it is interesting to consider that some studies evaluated only specific dental sites through gingival crevicular fluid analysis, whereas the serum analysis provides a more valuable analysis of the inflammatory markers in the subject. To the best of our knowledge, there have been no studies evaluating these serum markers under all different conditions analyzed in this study. Nevertheless, this study confirms the higher severity of periodontal disease in individuals with diabetes, highlighting the need for special oral healthcare for these patients. This study pointed out the great variability of the serum inflammatory biomarkers under all systemic and periodontal conditions studied. We can suggest that follow-up studies with stricter glycemic control and larger samples should be conducted in order to investigate the cumulative influence of periodontal conditions on serum inflammatory biomarkers in individuals with T2DM.

CONCLUSION

Although periodontitis was more severe in patients with diabetes, the serum levels of the investigated inflammatory markers were not different among the periodontitis patients.
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