Iya Ghassib1, Zhaozhao Chen1,2, Juanfang Zhu1,3, Hom-Lay Wang1. 1. Department of Periodontics and Oral Medicine, University of Michigan School of Dentistry, Ann Arbor, Michigan. 2. State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Disease, Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, People's Republic of China. 3. Department of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Abstract
OBJECTIVE: To investigate the use of peri-implant crevicular fluid (PICF) interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), and matrix metalloproteinase-8 (MMP-8) biomarkers in distinguishing between healthy implants (H), peri-implant mucositis (MU), and peri-implantitis (PI). MATERIAL AND METHODS: Electronic using three databases (Pubmed, EMBASE, and Cochrane) and manual searches were conducted for articles published up to March 2018 by two independent calibrated reviewers. Meta-analyses using a random-effects model were conducted for each of the cytokines; IL-1β, IL-6, and TNF-α, to analyze standardized mean difference (SMD) between H and MU, MU and PI, H and PI with their associated 95% confidence intervals (CI). Qualitative assessment of MMP-8 was provided consequent to the lack of studies that provide valid data for a meta-analysis. RESULTS: Nineteen articles were included in this review. IL-1β, IL-6, and TNF-α, levels were significantly higher in MU than H groups (SMD: 1.94; 95% CI: 0.87, 3.35; P < .001, SMD: 1.17; 95% CI: 0.16, 3.19; P = .031 and SMD: 3.91; 95% CI: 1.13, 6.70; P = .006, respectively). Similar results were obtained with PI compared to H sites (SMD: 2.21, 95% CI: 1.32, 3.11; P < .001, SMD: 1.72; 95% CI: 0.56, 2.87; P = .004 and SMD: 3.78; 95% CI: 1.67, 5.89; P < .001, respectively). IL-6 was statistically higher in PI than MU sites (SMD = 1.46; 95% CI: 0.36, 2.55; P = .009); while IL-1ß increase was not significant. Despite absence of meta-analysis, MMP-8 show to be a promising biomarker in detection of PI in literature. CONCLUSION: Within the limitations of this study, pro-inflammatory cytokines in PICF, such as IL-1ß and IL-6, can be used as adjunct tools to clinical parameters to differentiate H from MU and PI.
OBJECTIVE: To investigate the use of peri-implant crevicular fluid (PICF) interleukin-1β (IL-1β), IL-6, tumor necrosis factor-α (TNF-α), and matrix metalloproteinase-8 (MMP-8) biomarkers in distinguishing between healthy implants (H), peri-implant mucositis (MU), and peri-implantitis (PI). MATERIAL AND METHODS: Electronic using three databases (Pubmed, EMBASE, and Cochrane) and manual searches were conducted for articles published up to March 2018 by two independent calibrated reviewers. Meta-analyses using a random-effects model were conducted for each of the cytokines; IL-1β, IL-6, and TNF-α, to analyze standardized mean difference (SMD) between H and MU, MU and PI, H and PI with their associated 95% confidence intervals (CI). Qualitative assessment of MMP-8 was provided consequent to the lack of studies that provide valid data for a meta-analysis. RESULTS: Nineteen articles were included in this review. IL-1β, IL-6, and TNF-α, levels were significantly higher in MU than H groups (SMD: 1.94; 95% CI: 0.87, 3.35; P < .001, SMD: 1.17; 95% CI: 0.16, 3.19; P = .031 and SMD: 3.91; 95% CI: 1.13, 6.70; P = .006, respectively). Similar results were obtained with PI compared to H sites (SMD: 2.21, 95% CI: 1.32, 3.11; P < .001, SMD: 1.72; 95% CI: 0.56, 2.87; P = .004 and SMD: 3.78; 95% CI: 1.67, 5.89; P < .001, respectively). IL-6 was statistically higher in PI than MU sites (SMD = 1.46; 95% CI: 0.36, 2.55; P = .009); while IL-1ß increase was not significant. Despite absence of meta-analysis, MMP-8 show to be a promising biomarker in detection of PI in literature. CONCLUSION: Within the limitations of this study, pro-inflammatory cytokines in PICF, such as IL-1ß and IL-6, can be used as adjunct tools to clinical parameters to differentiate H from MU and PI.
Authors: Luciene Cristina Figueiredo; Bruno Bueno-Silva; Cristiana Fernandes Plutarco Nogueira; Leonardo Carneiro Valadares; Katia Marina Morilla Garcia; Givelton Coimbra da Luz Filho; Luciano Milanello; Felipe Machado Esteves; Jamil Awad Shibli; Tamires Szeremeske Miranda Journal: Int J Environ Res Public Health Date: 2020-12-06 Impact factor: 3.390