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Isolation, Characterization and MicroRNA-based Genetic Modification of Human Dental Follicle Stem Cells
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MicroRNA in Implant Dentistry: From Basic Science to Clinical Application
Maria Menini1, Elena Dellepiane1, Francesco Pera2
1Division of Fixed and Implant Prosthodontics, Department of Surgical Sciences (DISC), University of Genoa, Genova, Italy.
Microrna (Shariqah, United Arab Emirates)
|May 10, 2021
Summary
Specific microRNA (miRNA) profiles can predict dental implant outcomes, serving as potential biomarkers for diagnosis and prognosis. This review summarizes current knowledge on miRNA applications in implant dentistry to guide future clinical research.
Area of Science:
- Biomolecular mechanisms in oral health
- Translational research in dental implantology
Background:
- MicroRNAs (miRNAs) are small non-coding RNAs with regulatory roles in gene expression.
- Specific miRNA expression patterns are associated with clinical outcomes in dental implant procedures.
- miRNAs show potential as diagnostic and prognostic biomarkers in implant dentistry.
Purpose of the Study:
- To conduct a narrative review of the current literature on the use of miRNAs in implant dentistry.
- To synthesize existing evidence regarding miRNA biomarkers for dental implant success.
- To identify research gaps and provide a foundation for future clinical applications of miRNAs.
Main Methods:
- Comprehensive literature search for studies on miRNAs and dental implants.
- Critical appraisal of identified evidence.
- Narrative synthesis of findings.
Main Results:
- Evidence suggests specific miRNA profiles correlate with dental implant clinical outcomes.
- miRNAs hold promise for diagnostic and prognostic applications in implant dentistry.
- Further research is needed to translate these findings into clinical practice.
Conclusions:
- miRNAs represent a promising area for developing biomarkers in implant dentistry.
- Current evidence supports the potential of miRNAs in predicting implant success.
- Future research should focus on clinical validation and application of miRNA-based diagnostics and prognostics.
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