Potential Biomarkers Indicating Resistance or Resilience in Experimental Peri-Implant Mucositis: A Systematic Review and Meta-Analysis
- PMID: 40078114
- DOI: 10.1111/clr.14427
Potential Biomarkers Indicating Resistance or Resilience in Experimental Peri-Implant Mucositis: A Systematic Review and Meta-Analysis
Abstract
Objectives: To identify changes in immunological, microbiological, and histological biomarkers that may indicate resistance during the induction phase and resilience during the resolution phase of experimental peri-implant mucositis (PiM).
Materials and methods: The search was performed in MEDLINE, EMBASE, Web of Science, SCOPUS, Cochrane Library, and LILACS databases. Prospective interventional studies assessing biomarkers during experimental PiM were included. The risk of bias was assessed using the Risk Of Bias In Non-Randomized Studies of Interventions (ROBINS-I) tool. Meta-analyses were conducted using random-effects models. The GRADE approach was used to determine the certainty of evidence.
Results: Eleven out of 6008 studies were included. Clinical parameters (mPI and mGI) effectively characterized the experimental PiM model. Due to methodological variability and conflicting results, a definitive interpretation of microbiological and histological biomarkers was not possible. The meta-analysis revealed that IL-1β and the volume of peri-implant crevicular fluid (PICF) indicated non-resistance during the induction phase. In contrast, TNF-α, IL-6, IL-8, IL-17, MMP-8, and IFN-γ remained stable. Regarding the resolution phase, IL-1β returned to baseline levels (SMD: 1.13; 95% CI: -0.81, 3.06), and the volume of PICF (MD: 0.08; 95% CI: 0.03, 0.13) remained significantly elevated compared to day 0. However, TNF-α, IL-6, IL-8, IL-17, MMP-8, and IFN-γ did not significantly differ from baseline levels.
Conclusions: Moderate to very low evidence suggested that the biomarkers IL-1β and the volume of PICF indicated a lack of resistance while suggesting resilience and non-resilience, respectively. The biomarkers TNF-α, IL-6, IL-8, IL-17, MMP-8, and IFN-γ demonstrated resistance and resilience.
Keywords: biomarkers; dental implants; evidence‐based dentistry; inflammation; meta‐analysis; systematic review.
© 2025 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
References
-
- Berglundh, T., G. Armitage, M. G. Araujo, et al. 2018. “Peri‐Implant Diseases and Conditions: Consensus Report of Workgroup 4 of the 2017 World Workshop on the Classification of Periodontal and Peri‐Implant Diseases and Conditions.” Journal of Clinical Periodontology 45: S286–S291. https://doi.org/10.1111/jcpe.12957.
-
- Bienz, S. P., M. Hilbe, J. Hüsler, D. S. Thoma, C. H. F. Hämmerle, and R. E. Jung. 2021. “Clinical and Histological Comparison of the Soft Tissue Morphology Between Zirconia and Titanium Dental Implants Under Healthy and Experimental Mucositis Conditions—A Randomized Controlled Clinical Trial.” Journal of Clinical Periodontology 48, no. 5: 721–733. https://doi.org/10.1111/jcpe.13411.
-
- Candel‐Marti, M. E., A. J. Flichy‐Fernandez, T. Alegre‐Domingo, J. Ata‐Ali, and M. A. Penarrocha‐Diago. 2011. “Interleukins IL‐6, IL‐8, IL‐10, IL‐12 and Periimplant Disease. An Update.” Medicina Oral Patología Oral y Cirugia Bucal 16, no. 4: e518–e521. https://doi.org/10.4317/medoral.16.e518.
-
- Chan, A.‐W., A. Hróbjartsson, M. T. Haahr, P. C. Gøtzsche, and D. G. Altman. 2004. “Empirical Evidence for Selective Reporting of Outcomes in Randomized Trials.” JAMA 291, no. 20: 2457. https://doi.org/10.1001/jama.291.20.2457.
-
- Chan, D., G. Pelekos, D. Ho, P. Cortellini, and M. S. Tonetti. 2019. “The Depth of the Implant Mucosal Tunnel Modifies the Development and Resolution of Experimental Peri‐Implant Mucositis: A Case–Control Study.” Journal of Clinical Periodontology 46, no. 2: 248–255. https://doi.org/10.1111/jcpe.13066.
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