Abstract
Background:
Salivary matrix metalloproteinase (MMP)-8 is currently considered to be one of the most promising biomarkers for early diagnosis of periodontitis, however, several recent studies showed conflicting results.
Objective:
To determine the salivary matrix metalloproteinase (MMP)-8 levels between periodontitis patients and healthy individuals, and to assess its diagnostic value in periodontitis.
Methods:
Literatures were searched on PubMed and Embase databases up to August 2017, for articles reporting salivary MMP-8 levels between periodontitis patients and health controls with the data of means ± standard deviation (SD). Methodological quality was assessed by the Newcastle Ottawa scale (NOS). Standard mean differences (SMDs), heterogeneity, and publication bias were assessed by Stata 13.0 software.
Results:
A total of 10 studies including 485 periodontitis patients and 379 healthy controls that met the preset inclusion criteria were included, the qualities of these studies were either good (n = 7) or moderate (n = 3). Eight studies showed salivary MMP-8 levels were higher in periodontitis patients compared with healthy controls (P < .05), while 2 studies showed opposite results (P > .05). The pooled SMD was 1.195 (95% CI: 0.720–1.670), with I2 of 89.3%, indicating high heterogeneity. Funnel plot showed publication bias existed.
Conclusion:
Our meta-analysis showed that salivary MMP-8 levels were significantly higher in periodontitis patients compared with healthy controls overall. Due to the heterogeneity and publication bias of included studies, further high quality studies are still needed to verify the conclusion.
Keywords: biomarker, matrix metalloproteinase (MMP)-8, meta-analysis, periodontitis, salivary
1. Introduction
Periodontitis is an inflammatory disease caused by bacterial infection, with the characteristics of periodontal damage, alveolar bone resorption, and eventually tooth loss.[1] It is generally considered to be one of the most common diseases worldwide, with a prevalence of 15% to 20%.[2] Of greater concern, periodontitis has been shown to be associated with other serious diseases, such as coronary heart disease, head and neck carcinoma, and chronic obstructive pulmonary disease.[3–5] Therefore, early detection and intervention of periodontitis is of great importance. Differentiating destructive periodontitis patients from healthy individuals is simple at professional level, which mainly rely on clinical diagnostic criteria such as probing depth, attachment level, bleeding on probing, plague index, and radiographic assessment.[6] However, the early stage of initiation and/or progression remains a challenge for dentist based on the above clinical diagnostic criteria.[7] Saliva has the advantages of being easily and noninvasively collected, thus biomarkers from saliva for early detection of periodontitis are desirable.
In the past few years, great efforts have been made to explore these biomarkers. As periodontitis is an inflammatory response, the inflammatory process will lead to increased secretion of pro-inflammatory cytokines such as interleukin (IL)-1α, IL-1β, IL-6, and tumor necrosis factor-α (TNF-α).[8] Following this, neutrophils release a variety of enzymes such as matrix metalloproteinase (MMP), and inflammatory mediators. Biomarker detections from saliva are noninvasive, easily accessible, and economically friendly, and several types of salivary biomarkers have been shown to be associated with both oral diseases and systemic diseases.[9] Salivary biomarkers such as IL-1, IL-6, and MMP-8 have been reported to be significantly elevated in periodontitis patients compared with healthy controls.[10]
MMPs are key proteases involved in periodontitis and associated with periodontal status.[11,12] Type I collagen accounts for large quantities of periondontal extracellular matrix, thus special attention has been paid to collagenases and gelatinase such as MMP-8, MMP-13, MMP-2, and MMP-9 in periodontitis. Because type I collagen represents the bulk component of periodontal extracellular matrix, thus special attention has been paid to collagenases.[13] Among them, MMP-8 is the main collagenase in periodontitis; moreover, 90% to 95% of collagenolytic activity in gingival crevicular fluid originated from MMP-8. Thus MMP-8 is currently considered to be one of the most promising biomarkers for periodontitis in oral fluids.[13] While some studies showed higher levels of salivary MMP-8 in periodontitis patients compared with healthy individuals,[14,15] other studies showed opposite or contradictory results.[16,17]
To the best of our knowledge, the diagnostic value of salivary MMP-8 in periodontitis has not been systematically evaluated with all currently available data yet. Therefore, we aim to do a systematic review and meta-analysis to determine its diagnostic value between periodontitis patients and healthy controls.
2. Materials and methods
2.1. Focused question
The focused question was “Do salivary MMP-8 level differ significantly between periodontitis patients and healthy controls?” If answer is “yes,” we could use MMP-8 as a potential biomarker for early diagnosis of periodontitis.
2.2. Search strategy
We searched PubMed and Embase electric database (up to August 2017) for the studies reporting salivary MMP-8 level between periodontitis patients and healthy controls with the data of means ± standard deviation (SD) and sample size (number of patients included).
The following search terms were used: (1) “matrix metalloproteinase-8” OR “matrix metalloproteinase 8” OR “MMP-8” OR “MMP8”; (2) “salivary” OR “saliva”; (3) “periodontitis” OR “periodontal disease.” Then the above three parts were connected by Boolean operator “AND.” Articles published in other languages except English, in-vitro studies and animal studies were excluded, and no other filter was set. We also searched reference lists from original articles or reviews to include more related studies. The authors were contacted for details if needed.
2.3. Study selection
The included studies should fulfill the following criteria: (1) clinical trials, either cross-sectional or observational studies in human; (2) presence of periodontitis patients compared with healthy controls; (3) evaluated salivary MMP-8 in relation to periodontitis; (4) studies that presented with numerical values of sample size and mean ± SD of MMP-8 levels, or it could be calculated from available data of the study.
2.4. Data extraction and quality assessment
Two authors (LZ and LH) independently identified included studies and extracted the data for further analysis. The data were tabulated by the study participants, inclusion criteria for peridontitis patients and healthy controls, assay used for detecting MMP-8, regions of the study performed, salivary MMP-8 levels (mean ± SD) with sample size, and statistical significance (P value). Discrepancy was resolved by consensus meeting with other co-authors to arrive at consensus. The whole process of literature selection was summarized in Figure 1, according to PRISMA guidelines.[18]
Figure 1.
PRISMA flow diagram for studies retrieved through the searching and selection process. PRISMA = Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
Methodological quality assessment was done by 2 authors based on Newcastle Ottawa scale (NOS) grading system, the details of each item in this grading system were described previously,[19] which was used for quality evaluation of observational studies and nonrandomized studies.
2.5. Statistical analyses
Meta-analysis was conducted to the primary outcome: mean salivary MMP-8 level (mean ± SD) between periodontitis patients and healthy controls. Forest plot was produced reporting standardized mean differences (SMDs) and 95% confidence interval (CI), which were calculated for each study. SMD is the mean divided by the SD of a difference in each study between patients and controls. It can be seen as the mean difference if all data were transformed to a scale where SD within groups was equal to 1.0. Funnel plot was used for the evaluation of public bias.
Heterogeneity was assessed using Higgins I2, Tau-square, and Chi-square tests, with I2>75% indicating relevant heterogeneity.[20] When the heterogeneity test was statistically significant, random-effects model was used. Otherwise fix-effects model was used. Publication bias was assessed by funnel plot. All the above statistical analyses were performed with Stata 13.0 software (Stata Corporation, College Station, TX). A P value < .05 was considered to be statistically significant.
2.6. Ethical review
This study was a systematic review and meta-analysis, and did not involve patient consent. Thus ethical approval could be waived.
3. Results
3.1. Identification of studies
The searches yielded 275 relevant articles for consideration primarily. After reviewing the titles and abstracts, 251 articles were excluded because they did not fulfill the inclusion criteria. Around 25 studies were selected for full-text review, and 15 studies were excluded in this step (Fig. 1). A total of 10 studies, including 485 periodontitis patients and 379 health controls that met the preset inclusion criteria were included for meta-analysis,[6,10,14–17,21–24] the characteristics of the 10 studies were summarized in Table 1.
Table 1.
Characteristics of the 10 studies included in this study.
3.2. Quality assessment
Study quality as assessed by the NOS was summarized in Table 2, the quality varied across the studies. Among the 10 included studies, 7 studies were graded as good quality and 3 studies were graded as moderate quality. All 10 studies met the NOS criteria for case definition, and had good representativeness.
Table 2.
Quality assessment of the 10 included studies by Newcastle–Ottawa scale.
3.3. Data synthesis and meta-analysis
The salivary MMP-8 levels from each independent study of both periodontitis patients and health controls were summarized in Table 1. The study of Gursoy et al[17] enrolled patients with MMP-8 detected by 2 different methods (immunofluorometric assay [IFMA] and enzyme linked immunosorbent assay [ELISA]), with separate data of MMP-8 levels (mean ± SD), respectively, thus the 2 set of data were analyzed separately. The range of MMP-8 levels (mean ± SD) varied greatly among different studies, from 2.95 ± 0.66 (n=27) to 888.6 ± 990.1 (n = 84) in periodontitis patients, and from 2.51 ± 0.81 (n = 18) to 309.4 ± 183.4 (n = 81) in healthy controls.
The pooled SMD was 1.195 (95% CI: 0.720–1.670), with the forest plot drawn in Figure 2. For heterogeneity testing, Chi-square was 93.66 (P < .05), and I2 (variation in SMD attributable to heterogeneity) was 89.3%. The estimate of between-study variance Tau-square was 0.5373. Test of SMD = 0, z = 4.93 (P < .05). Thus the variability in difference was significant. Funnel plot was shown in Figure 3, indicating publication bias.
Figure 2.
Forest plot presenting SMDs of salivary MMP-8 levels between periodontitis patients and healthy controls. MMP = matrix metalloproteinase, SMDs = standard mean differences.
Figure 3.
Funnel plot for MMP-8 levels among different studies. MMP = matrix metalloproteinase.
4. Discussion
This meta-analysis systematically evaluated the salivary MMP-8 levels between periodontitis patients and healthy controls of 10 independent studies from different countries. In general, our results showed that MMP-8 level was significantly higher in periodontitis patients than in health controls, although the heterogeneity exists among different studies.
MMPs are proteolytic enzymes belonging to zinc protease super family involved in physiological degradation of extracellular matrix proteins and basement membranes, and they can be categorized into several groups.[13] MMP-8 belongs to collagenase group, which exhibits a unique ability to decompose type I and III collagen.[13] MMP-8 levels have been found to correlate with the levels of type I collagen degradation products, overcoming the protective shield of tissue inhibitors of MMP in disease active sites compared with inactive sites from periodontitis patients and healthy controls.[25] Therefore, it can be hypothesized that MMP-8 acts as a biomarker in periodontitis.
The salivary level of MMP-8 varied greatly between different studies and the SD was also relatively variable in some studies,[10,17,21,22] which may partly be explained by the variation in salivary flow rate, use of antimicrobial agents, and smoking habits. These factors may cause interference in salivary analysis to some extent. On the other hand, different detection methods (such as ELISA, IFMA, and Luminex) may also contribute to the variability.
SMD was calculated in order to reduce discrepancy. Our results showed that I2 = 89.3%, indicating substantial heterogeneity. Thus random-effects model was used for SMD estimation. The heterogeneity may be due to different detection methods used, such as IFMA versus ELISA, which may be explained by the different specificity of antibodies used in the 2 methods.[26] The heterogeneity may also be induced by the unstandardized diagnosis criteria for periodontitis, different enrolling criteria for healthy controls, different study population (gender, age), and different study designs. Funnel plot analysis indicated publication bias existed, which may be partially explained by 3 studies with relatively small sample size locating far away from the funnel's margin. Therefore, the findings in this meta-analysis should be analyzed with caution. Thus further high-quality studies with robust design and larger sample size are highly recommended.
In conclusion, our meta-analysis results suggested that, salivary MMP-8 levels were significantly higher in periodontitis patients than in healthy controls. Substantial heterogeneity existed among these included studies, thus prospective studies and randomized designs with larger sample size are still needed to verify our results in the future.
Footnotes
Abbreviations: IL = interleukin, MMP = matrix metalloproteinase, NOS = Newcastle Ottawa scale, PRISMA = Preferred Reporting Items for Systematic Reviews and Meta-Analyses, SD = standard deviation, SMDs = standard mean differences, TNF-α = tumor necrosis factor-α.
This study was supported by a grant from the National Natural Science Foundation of China to Lei Huang (Grant no. 81201338).
The authors have no conflicts of interest to disclose.
References
- [1].Pihlstrom BL, Michalowicz BS, Johnson NW. Periodontal diseases. Lancet 2005;366:1809–20. [DOI] [PubMed] [Google Scholar]
- [2].Kassebaum NJ, Bernabe E, Dahiya M, et al. Global burden of severe periodontitis in 1990–2010: a systematic review and meta-regression. J Dent Res 2014;93:1045–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Leng WD, Zeng XT, Kwong JS, et al. Periodontal disease and risk of coronary heart disease: an updated meta-analysis of prospective cohort studies. Int J Cardiol 2015;201:469–72. [DOI] [PubMed] [Google Scholar]
- [4].Zeng XT, Deng AP, Li C, et al. Periodontal disease and risk of head and neck cancer: a meta-analysis of observational studies. PloS One 2013;8:e79017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Zeng XT, Tu ML, Liu DY, et al. Periodontal disease and risk of chronic obstructive pulmonary disease: a meta-analysis of observational studies. PLoS One 2012;7:e46508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [6].Gupta N, Gupta ND, Gupta A, et al. Role of salivary matrix metalloproteinase-8 (MMP-8) in chronic periodontitis diagnosis. Front Med 2015;9:72–6. [DOI] [PubMed] [Google Scholar]
- [7].Ghiabi E, Weerasinghe S. The periodontal examination profile of general dentists in Nova Scotia, Canada. J Periodontol 2011;82:33–40. [DOI] [PubMed] [Google Scholar]
- [8].Silswal N, Singh AK, Aruna B, et al. Human resistin stimulates the pro-inflammatory cytokines TNF-alpha and IL-12 in macrophages by NF-kappaB-dependent pathway. Biochem Biophys Res Commun 2005;334:1092–101. [DOI] [PubMed] [Google Scholar]
- [9].Rathnayake N, Akerman S, Klinge B, et al. Salivary biomarkers for detection of systemic diseases. PLoS One 2013;8:e61356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Ebersole JL, Schuster JL, Stevens J, et al. Patterns of salivary analytes provide diagnostic capacity for distinguishing chronic adult periodontitis from health. J Clin Immunol 2013;33:271–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [11].Sorsa T, Mantyla P, Tervahartiala T, et al. MMP activation in diagnostics of periodontitis and systemic inflammation. J Clin Periodontol 2011;38:817–9. [DOI] [PubMed] [Google Scholar]
- [12].Rathnayake N, Gustafsson A, Norhammar A, et al. Salivary matrix metalloproteinase-8 and -9 and myeloperoxidase in relation to coronary heart and periodontal diseases: a subgroup report from the PAROKRANK study (periodontitis and its relation to coronary artery disease). PLoS One 2015;10:e0126370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [13].Franco C, Patricia HR, Timo S, et al. Matrix metalloproteinases as regulators of periodontal inflammation. Int J Mol Sci 2017;18:pii: E440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Rangbulla V, Nirola A, Gupta M, et al. Salivary IgA, interleukin-1beta and MMP-8 as salivary biomarkers in chronic periodontitis patients. Chin J Dent Res 2017;20:43–51. [DOI] [PubMed] [Google Scholar]
- [15].Noack B, Kipping T, Tervahartiala T, et al. Association between serum and oral matrix metalloproteinase-8 levels and periodontal health status. J Periodontal Res 2017;52:824–31. [DOI] [PubMed] [Google Scholar]
- [16].Kushlinskii NE, Solovykh EA, Karaoglanova TB, et al. Content of matrix metalloproteinase-8 and matrix metalloproteinase-9 in oral fluid of patients with chronic generalized periodontitis. Bull Exp Biol Med 2011;152:240–4. [DOI] [PubMed] [Google Scholar]
- [17].Gursoy UK, Kononen E, Pradhan-Palikhe P, et al. Salivary MMP-8, TIMP-1, and ICTP as markers of advanced periodontitis. J Clin Periodontol 2010;37:487–93. [DOI] [PubMed] [Google Scholar]
- [18].Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Int Med 2009;151: 264–269. [PMC free article] [PubMed] [Google Scholar]
- [19].Hartling L, Milne A, Hamm MP, et al. Testing the Newcastle Ottawa scale showed low reliability between individual reviewers. J Clin Epidemiol 2013;66:982–93. [DOI] [PubMed] [Google Scholar]
- [20].Borenstein M, Hedges LV, Higgins JP, et al. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods 2010;1:97–111. [DOI] [PubMed] [Google Scholar]
- [21].Meschiari CA, Marcaccini AM, Santos Moura BC, et al. Salivary MMPs, TIMPs, and MPO levels in periodontal disease patients and controls. Clin Chim Acta 2013;421:140–6. [DOI] [PubMed] [Google Scholar]
- [22].Johnson N, Ebersole JL, Kryscio RJ, et al. Rapid assessment of salivary MMP-8 and periodontal disease using lateral flow immunoassay. Oral Dis 2016;22:681–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [23].Martinez GL, Majster M, Bjurshammar N, et al. Salivary colony stimulating factor-1 and interleukin-34 in periodontal disease. J Periodontol 2017;88:e140–9. [DOI] [PubMed] [Google Scholar]
- [24].Miller CS, King CP, Jr, Langub MC, et al. Salivary biomarkers of existing periodontal disease: a cross-sectional study. J Am Dent Assoc 2006;137:322–9. [DOI] [PubMed] [Google Scholar]
- [25].Sorsa T, Gursoy UK, Nwhator S, et al. Analysis of matrix metalloproteinases, especially MMP-8, in gingival creviclular fluid, mouthrinse and saliva for monitoring periodontal diseases. Periodontology 2000 2016;70:142–63. [DOI] [PubMed] [Google Scholar]
- [26].Sorsa T, Hernandez M, Leppilahti J, et al. Detection of gingival crevicular fluid MMP-8 levels with different laboratory and chair-side methods. Oral Dis 2010;16:39–45. [DOI] [PubMed] [Google Scholar]