Literature DB >> 32595256

PERIODONTAL DISEASE IN DIFFERENT STAGES OF CHRONIC KIDNEY DISEASE.

Vlatko Kopić1, Jerko Barbić1, Sanjin Petrović1, Ines Šahinović1, Dubravka Mihaljević1, Andrijana Kopić1, Andrija Bošnjak1.   

Abstract

Periodontal disease is a chronic multifactorial disease the worldwide incidence of which is higher than the incidence of caries and represents one of the leading problems in dental medicine. It is manifested by the loss of the attachment apparatus of the tooth and leads to the loss of teeth. Numerous studies have shown the association of periodontal disease and various chronic systemic diseases such as diabetes mellitus and cardiovascular disease. It is believed that low-grade level of chronic inflammation and release of bacterial toxins and inflammatory mediators in the bloodstream aggravate a chronic systemic disease. The purpose of our research was to investigate the possible association of periodontal disease and chronic kidney disease via the inflammatory cytokines path. In this cross-sectional study, we surveyed a total of 80 subjects divided into two groups. First group included subjects with chronic renal disease stages III and IV, and the second group included patients with chronic renal disease stage V that were on hemodialysis. We compared periodontal status, as well as serum levels of different cytokines, interleukin 6, interleukin 17A and tumor necrosis factor α between the two groups. The results showed no significant between-group differences in periodontal status, but interleukin 6 levels were significantly higher in the hemodialysis group of patients and were also associated with a poorer periodontal status.

Entities:  

Keywords:  Chronic kidney disease; Cytokines; Hemodialysis; Inflammation; Periodontal disease

Mesh:

Substances:

Year:  2019        PMID: 32595256      PMCID: PMC7314301          DOI: 10.20471/acc.2019.58.04.18

Source DB:  PubMed          Journal:  Acta Clin Croat        ISSN: 0353-9466            Impact factor:   0.780


Introduction

Periodontal disease (PD) can be defined as a chronic, multifactorial, low-grade inflammatory condition (). It causes loss of supporting tissues of the tooth and is associated with numerous bacterial species that thrive in the oral biofilm on the surface of the teeth. Although the causes and pathogenesis of PD is an attractive topic and has been thoroughly investigated, an emerging field of research is the association between PD and different systemic disorders and conditions (). The most investigated connection is the one between PD and diabetes mellitus (DM) (, ), to the extent that in some instances PD is named as the sixth major complication of DM (-). Furthermore, studies have discovered, and to some extent confirmed, the association of PD and cardiovascular disease (), chronic obstructive pulmonary disease (), rheumatoid arthritis (), preterm low birthweight (), different types of cancer () and metabolic syndrome. Association of PD and chronic kidney disease (CKD) has not yet been thoroughly explained, but there is some information on the relationship (, ). Considering the fact that bacterial products and inflammatory mediators can access the bloodstream in patients with PD, their immune response is under a constant microbial burden. It has been shown that the chronic low-grade inflammatory condition is one of the main links between PD and systemic diseases and conditions (, ). To help comprehend the possible impact of PD on general health, biomarkers in the serum of individuals with various chronic systemic diseases were investigated. Inflammatory biomarkers such as C-reactive protein (CRP) and different types of cytokines have been shown to have higher serum levels in subjects with PD compared to healthy individuals. Similar results were shown for numerous chronic systemic diseases and PD (, ). Chronic kidney disease is a severe and irreversible condition that causes destruction of nephrons and loss of normal renal function. The most frequent etiology of CKD includes diabetes mellitus, hypertension, polycystic kidney disease and glomerulonephritis. In terminal stage of CKD, patients need hemodialysis or kidney transplantation. It should be noted that almost all of these patients have a great number of severe systemic comorbidities. It has been already reported that almost 60% of patients with CKD have moderate to severe PD (). PD is also associated with malnutrition. Malnutrition and inflammation are predicting factors for morbidity and mortality in CKD. There are theories suggesting that advanced PD can aggravate CKD due to the increased inflammatory response. The purpose of our study was to investigate the association of PD and different stages of CKD together with the levels of inflammatory biomarkers such as CRP and some types of cytokines in the bloodstream.

Subjects and Methods

The study design and protocol were accepted and confirmed by the hospital Ethics Committee. Each patient provided his/her written informed consent for voluntary participation in the study. All patients were regular patients from Department of Nephrology and Dialysis, Osijek University Hospital Centre, Osijek, Croatia. A total of 80 patients with CKD aged over 18, both male and female, were enrolled in this cross-sectional cohort study and divided into two groups according to the CKD stage. The first group comprised 40 patients with CKD stage V that had been treated with hemodialysis for at least three months (HD group). The second group comprised 40 patients with CKD stages III and IV (control group). The stage of CKD was calculated with the Modification of Diet in Renal Disease Study (MDRD) equation that estimates glomerular filtration rate based on creatinine and patient characteristics. Medical history and documentation provided data on CKD, cause of CKD, duration of disease, duration of hemodialysis, comorbidities, body mass, height, body mass index (BMI) and history of smoking. All patients underwent clinical periodontal examination. We measured plaque and bleeding scores, probing depth and gingival recession (GR). Laboratory data were also collected, including CRP. We also collected blood samples for interleukin 6 (IL-6), interleukin 17A (IL-17A) and tumor necrosis factor α (TNF-α) that were analyzed at the Department of Clinical Laboratory Diagnostics. All laboratory data on patients treated with hemodialysis were collected before and after dialysis. All patients with acute progressive glomerulonephritis and other chronic diseases that are treated with corticosteroid and immunosuppressive therapy were excluded from the study. We also excluded patients with malignant diseases that were on some sort of oncology treatment and patients with acute infections. All edentulous patients were also excluded from the study.

Clinical periodontal examination

Clinical periodontal examination included the following variables: probing depth, GR, Approximal Plaque Index (API) and Papillary Bleeding Index (PBI). Probing depth was measured at six sites of all present teeth by a calibrated periodontal probe (DB 768, Aesculap, Tuttlingen, Germany). All measurements were performed by a single researcher.

Laboratory analysis

Three biomarkers were assessed in serum. IL-6 (Human IL-6 ELISA, Affymetrix, eBioscinece, USA), TNF-α (Human TNF alpha ELISA, Affymetrix, eBioscinece, USA) and IL-17A (Human IL-17A ELISA, Affymetrix, eBioscinece, USA) assays were performed according to the manufacturer’s instructions. The limit of detection was 1 pg/mL. Laboratory analysis was conducted at the Department of Clinical Laboratory Diagnostics, Osijek University Hospital Centre.

Statistical analysis

Category data were represented by absolute and relative frequencies. Variations of category variables were tested by χ2-test. Numerical data were described by median and limits of the interquartile range. The normality of distribution of the observed numerical variables was tested by the Shapiro-Wilk test. Differences in numerical variables between the two independent groups were tested by Mann-Whitney test (with Hodges-Lehmann median difference and 95% confidence interval (95% CI)). The correlation between variables was assessed by Spearman’s correlation coefficient ρ (Rho). All p values were two-sided. The level of significance was set at alpha=0.05. Statistical analysis was performed by use of MedCalc Statistical Software version 18.11.3 (MedCalc Software bvba, Ostend, Belgium; https://www.medcalc.org; 2019).

Results

The study was performed on 80 subjects, 44 (55%) men and 36 (45%) women. The mean (median) age of the subjects was 64 years, with the interquartile range from 54 to 71 years. In the group of subjects with CKD stages III and IV (control group), four (10%) subjects were CKD stage 3a, seven (17.5%) CKD stage 3b and 29 (72.5%) CKD stage 4 (Table 1).
Table 1

Basic characteristics of patients, inflammatory parameters, cytokines and periodontal status in relation to different stages of chronic kidney disease

CKD stages III and IV – control groupCKD stage V – hemodialysis groupDifference95% CIp*
Sex, n (%):
  Men23 (58)21 (53)0.65
  Women17 (43)19 (48)
Age (years), median (25%-75%)64.5 (58.3-69.8)63 (47.3-74)-1 (-8 to 5)0.66
Body mass (kg), median (25%-75%)84 (70-101.8)78.5 (60.2-88.5)-10 (-20 to 0)0.05
Body height (cm), median (25%-75%)166 (159.3-175.8)166 (158.5-177.5)0 (-4 to 5)0.83
BMI (kg/m2), median (25%-75%)28.4 (24-37.3)26.3 (22.1-31)-3.7 (-6.8 to -0.8)0.01
Diagnosis, n (%):
  Polycystic kidney8 (20)4 (10)0.21
  Nephritic syndrome1 (2.5)16 (40)<0.001
  Diabetic nephropathy9 (22.5)8 (20)0.79
  Chronic glomerulonephritis10 (25)00.001
  Endemic nephropathy1 (2.5)00.31
Smoking, n (%)9 (22.5)13 (32.5)0.32
CRP (mg/L), median (25%-75%)3.55 (1.65-6.35)4.6 (2.78-11.85)1.6 (-0.2 to 3.9)0.08
Cytokines, median (25%-75%):
Before HDIL-6 (pg/mL)1.6 (1-3.1)3.8 (1.4-6.5)1.6 (0.4 to 3.1)0.004
IL-17A (pg/mL)0.9 (0.6-1.8)1.1 (0.6-2.8)0.2 (-0.2 to 0.8)0.29
TNF-α (pg/mL)0 (0-0.2)0 (0-0)0 (0 to 0)0.56
After HDIL-6 (pg/mL)-3.7 (1.5-5.2)--
IL-17A (pg/mL)-1.3 (0.8-2.3)--
TNF-α (pg/mL)-0 (0-0)--
Periodontal status, median (25%-75%):
Teeth number20.5 (14.3-23.8)18.5 (6.3-26.3)-2 (-7 to 1)0.21
API (%)60 (38.5-81.8)75 (45-100)9.5 (-1.8 to 21.8)0.14
PBI (%)1.6 (0.8-2.2)1.4 (1-2)-0.1 (-0.5 to 0.3)0.62
Probing depth (mm)1.9 (1.8-2.4)2 (2-2)-0.02 (-0.2 to 0.2)0.88
Number of teeth with GR7 (5-10)3 (1-6)-4 (-5 to -2)<0.001
Number of tooth surface with GR10 (6-16)5 (1-13)-5 (-8 do -1)0.008
GR (mm)2.1 (1.7-2.5)2 (1-3)-0.1 (-0.7 do 0.2)0.36

*χ2-test; †Mann Whitney U test; ‡Hodges-Lehmann median difference; 95% CI = 95% confidence interval; CKD = chronic kidney disease; BMI = body mass index; CRP = C-reactive protein; HD = hemodialysis; GR = gingival recession; IL-6 = interleukin 6; IL-17A = interleukin 17A; TNF-α = tumor necrosis factor α; API = Approximate Plaque Index; PBI = Papillary Bleeding Index

*χ2-test; †Mann Whitney U test; ‡Hodges-Lehmann median difference; 95% CI = 95% confidence interval; CKD = chronic kidney disease; BMI = body mass index; CRP = C-reactive protein; HD = hemodialysis; GR = gingival recession; IL-6 = interleukin 6; IL-17A = interleukin 17A; TNF-α = tumor necrosis factor α; API = Approximate Plaque Index; PBI = Papillary Bleeding Index There was no significant difference between the groups according to body mass and height, whereas BMI was significantly higher in control group (Mann Whitney U test, p=0.01). The most common causes of CKD in both groups were diabetic nephropathy and polycystic kidney disease, whereas nephritic syndrome was significantly more frequent in control group (χ2-test, p<0.001). Considering risk factors for PD, there were 22 (27.5%) smokers in both groups. There were no statistically significant differences in CRP (mg/L) levels between the groups (Table 1). The levels of IL-6 (pg/mL) prior to dialysis were significantly higher in the hemodialysis group compared to control group (Hodges-Lehmann difference, 1.6 pg/mL, 95% CI -0.2 pg/mL to 3.9 pg/mL; Mann Whitney U test, p=0.004), whereas the levels of other two cytokines showed no statistically significant between-group differences (Table 1). Considering periodontal status, there were no statistically significant differences in the number of retained teeth, API, PBI, probing depth and GR between the groups, whereas the number of teeth with GR was significantly lower in hemodialysis group (Hodges-Lehmann difference -4, 95% CI -5 to -2; Mann Whitney U test, p<0.001). The number of tooth surfaces with GR was also significantly lower in hemodialysis patients as compared with control group (Hodges-Lehmann difference -5, 95% CI -8 to -1; Mann Whitney U test, p=0.008) (Table 1). Spearman’s coefficient of correlation evaluated the association of CRP and cytokine levels with PD between the groups. Control group patients that had higher serum levels of IL-6 had higher API and vice versa (Spearman’s correlation coefficient Rho=0.506; p=0.001). In the hemodialysis group of patients with chronic renal disease (stage V), there was no significant association between CRP and cytokine serum levels with periodontal status. In the same group of patients, higher serum levels of IL-6 after dialysis were associated with higher probing depth and vice versa (Spearman’s correlation coefficient Rho=0.366; p=0.03) (Table 2).
Table 2

Association of cytokine and CRP serum levels with periodontal status

Spearman’s coefficient of correlation Rho (p value)
Control group:CKD stages III and IV)CRPIL-6IL-17ATNF-α
  Number of teeth-0.081 (0.62)-0.061 (0.71)0.079 (0.63)0.147 (0.37)
  API (%)0.167 (0.31)0.506 (0.001)0.030 (0.86)0.031 (0.85)
  PBI (%)0.099 (0.55)0.073 (0.66)0.070 (0.67)-0.156 (0.34)
  Probing depth (mm)0.192 (0.24)0.198 (0.23)0.202 (0.22)-0.011 (0.95)
  Number of teeth with GR-0.014 (0.93)-0.006 (0.97)0.063 (0.71)-0.015 (0.93)
  Number of tooth surface with GR-0.013 (0.94)0.106 (0.52)0.006 (0.97)-0.071 (0.67)
  GR (mm)-0.304 (0.06)-0.143 (0.39)-0.061 (0.71)-0.224 (0.17)
HD group:CKD stage V (before HD)CRPIL-6IL-17ATNF α
  Number of teeth-0.264 (0.10)-0.208 (0.20)0.120 (0.46)0.125 (0.44)
  API (%)0.072 (0.67)0.255 (0.13)0.278 (0.09)0.241 (0.15)
  PBI (%)-0.185 (0.27)-0.106 (0.53)0.134 (0.43)0.070 (0.68)
  Probing depth (mm)-0.061 (0.72)0.311 (0.06)0.229 (0.17)0.144 (0.40)
  Number of teeth with GR-0.012 (0.95)0.181 (0.28)-0.102 (0.55)-0.029 (0.87)
  Number of tooth surface with GR0.079 (0.64)0.264 (0.11)-0.190 (0.26)-0.061 (0.72)
  GR (mm)-0.005 (0.98)0.156 (0.36)-0.271 (0.11)-0.076 (0.66)
HD group:CKD stage V (after HD)CRPIL-6IL-17ATNF α
  Number of teeth-0.112 (0.49)0.165 (0.31)0.087 (0.59)
  API (%)0.183 (0.28)0.212 (0.21)0.217 (0.20)
  PBI (%)-0.100 (0.56)0.235 (0.16)0.004 (0.98)
  Probing depth (mm)0.366 (0.03)0.284 (0.09)0.195 (0.25)
  Number of teeth with GR0.270 (0.11)-0.066 (0.70)0.038 (0.82)
  Number of tooth surface with GR0.302 (0.07)-0.174 (0.30)0.017 (0.92)
  GR (mm)0.189 (0.26)-0.261 (0.12)-0.092 (0.59)

CKD = chronic kidney disease; IL-6 = interleukin 6; IL-17A = interleukin 17A; TNF-α = tumor necrosis factor α; API = Approximal Plaque Index; PBI = Papillary Bleeding Index; CRP = C-reactive protein; GR = gingival recession; HD = hemodialysis

CKD = chronic kidney disease; IL-6 = interleukin 6; IL-17A = interleukin 17A; TNF-α = tumor necrosis factor α; API = Approximal Plaque Index; PBI = Papillary Bleeding Index; CRP = C-reactive protein; GR = gingival recession; HD = hemodialysis

Discussion

Periodontal disease is a significant problem in dental medicine because of its high prevalence, especially in older population (, ). Theories on additional inflammatory burden that occurs due to PD in patients with chronic systemic diseases have recently been gaining interest (). Trying to improve the quality of life in individuals with chronic diseases, it is important to think of periodontal status and oral health. Earlier studies suggest that chronic diseases and PD affect one another in a way that worsening of one disease means worsening of the other. CKD is a condition that significantly reduces the quality of life of patients, especially in terminal stage when patients end up on hemodialysis (, ). With progression of CKD, there are additional risk factors for worsening of PD because of the endocrinologic disorder, as well as bone metabolism disorder that cannot be replaced by substitution therapy for CKD (). Comorbidities such as DM significantly contribute to worsening of PD (). Earlier studies have also demonstrated the correlation of CRP levels, as well as of elevated levels of high-density lipoprotein-cholesterol (HDL-C) and decreased low-density lipoprotein-cholesterol (LDL-C) levels with PD severity (, ). However, it is difficult to accurately estimate the effects of particular comorbidities and life habits such as smoking and oral hygiene on worsening of PD (, ). Interleukins are considered to be biomarkers the levels of which increase in various inflammatory conditions. The results of our research did not show significant difference in periodontal status between the two groups. There are probably several reasons for this, one of them being the fact that the control group comprised subjects with only one to two grades of milder CKD, and this difference may not be sufficient to affect periodontal status significantly (). There was no difference in inflammatory cytokine levels in the HD group of patients before and after hemodialysis. Of all serum cytokine levels tested, only IL-6 had a statistically significantly higher level in the HD group of patients. IL-17A and TNF-α levels did not show increase in the higher grade of CKD (). However, even the elevated levels of IL-6 indicate that inflammatory burden can increase with the grade of renal impairment. Particularly encouraging for future researches are our results associating elevated levels of IL-6 with worse periodontal status in the same group of subjects. Based on these results, we can conclude that it is very important for patients with chronic renal failure, especially those on hemodialysis and maybe waiting for kidney transplantation, to improve their oral hygiene and visit their dentist more frequently in order to prevent possible further deterioration of periodontal status and possibly their general condition.
  32 in total

1.  Does periodontitis reflect inflammation and malnutrition status in hemodialysis patients?

Authors:  Li-Ping Chen; Chih-Kang Chiang; Chiu-Po Chan; Kuan-Yu Hung; Chiung-Shing Huang
Journal:  Am J Kidney Dis       Date:  2006-05       Impact factor: 8.860

Review 2.  Host-derived diagnostic markers related to soft tissue destruction and bone degradation in periodontitis.

Authors:  Nurcan Buduneli; Denis F Kinane
Journal:  J Clin Periodontol       Date:  2011-03       Impact factor: 8.728

Review 3.  Current perspective of the impact of smoking on the progression and treatment of periodontitis.

Authors:  Francisco H Nociti; Marcio Z Casati; Poliana Mendes Duarte
Journal:  Periodontol 2000       Date:  2015-02       Impact factor: 7.589

Review 4.  Cigarette smoking and chronic kidney disease in the general population: a systematic review and meta-analysis of prospective cohort studies.

Authors:  Jia Xia; Lin Wang; Zhiheng Ma; Liping Zhong; Ying Wang; Yachan Gao; Liqun He; Xiao Su
Journal:  Nephrol Dial Transplant       Date:  2017-03-01       Impact factor: 5.992

5.  Update on Prevalence of Periodontitis in Adults in the United States: NHANES 2009 to 2012.

Authors:  Paul I Eke; Bruce A Dye; Liang Wei; Gary D Slade; Gina O Thornton-Evans; Wenche S Borgnakke; George W Taylor; Roy C Page; James D Beck; Robert J Genco
Journal:  J Periodontol       Date:  2015-02-17       Impact factor: 6.993

6.  Periodontal disease. The sixth complication of diabetes mellitus.

Authors:  H Löe
Journal:  Diabetes Care       Date:  1993-01       Impact factor: 19.112

7.  Internal carotid occlusion in a patient with previous history of periodontitis: case report.

Authors:  Ivan Puhar; Arijana Lovrencić-Huzjan; Darije Plancak; Darja Sodec-Simicević; Maja Strineka; Vida Demarin
Journal:  Acta Clin Croat       Date:  2012-09       Impact factor: 0.780

Review 8.  Periodontitis and diabetes: a two-way relationship.

Authors:  P M Preshaw; A L Alba; D Herrera; S Jepsen; A Konstantinidis; K Makrilakis; R Taylor
Journal:  Diabetologia       Date:  2011-11-06       Impact factor: 10.122

9.  Quality of life measures predict cardiovascular health and physical performance in chronic renal failure patients.

Authors:  A Rogan; K McCarthy; G McGregor; T Hamborg; G Evans; S Hewins; N Aldridge; S Fletcher; N Krishnan; R Higgins; D Zehnder; S M Ting
Journal:  PLoS One       Date:  2017-09-14       Impact factor: 3.240

10.  Periodontitis as the risk factor of chronic kidney disease: Mediation analysis.

Authors:  Attawood Lertpimonchai; Sasivimol Rattanasiri; Suphot Tamsailom; Chantrakorn Champaiboon; Atiporn Ingsathit; Chagriya Kitiyakara; Anusorn Limpianunchai; John Attia; Piyamitr Sritara; Ammarin Thakkinstian
Journal:  J Clin Periodontol       Date:  2019-06       Impact factor: 8.728

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