Publicação
Genetic susceptibility factors for dental implant failure : a systematic review
| Resumo: | Introduction: Dental implants have high success rates, but loss or failure may occur. Among factors that lead to dental implant loss or failure, single-nucleotide polymorphisms (SNPs) have emerged as potential genetic markers. SNPs can have a role in inflammatory response, bone metabolism, and healing capacity. Exploring these genetic associations represents a promising field in precision dentistry. Objective: To catalog the SNPs that have been associated with dental implant loss/failure, to systematize the evidence on the genetic factors underlying this condition. Methods: This systematic review was conducted according to the PRISMA 2020 guidelines and the PICO framework. The research question was: “Does the presence of SNPs, when compared with their absence, modify the success rates in dental implant patients?”. The literature search was performed in the Medline/PubMed, Scopus, and Web of Science databases using a search expression with free-text and MeSH terms. Studies were selected based on pre-established exclusion criteria. After screening, 18 studies were included. Results: A total of 15 genes and 44 SNPs were analyzed. Six significant associations with dental implant loss or failure were found. MMP8 rs11225395 was analyzed by two studies, both reporting significant associations. IL1A rs1800587 and IL1B rs1143634 were analyzed in four and five studies, respectively, but only once were they associated with dental implant loss or failure. Both IL4 rs2070874 and LTA rs2009658 were analyzed in one study only but with significant findings in both cases. Finally, an association with implant failure or loss was also reported in one of the two studies focusing on IL10 rs1800871 (despite significance was lost after Bonferroni correction). Conclusion: Based on the gathered evidence, SNPs appear to play a significant role in modifying dental implants success rates. This personalized approach, when applied in patients can potentially reduce complications, expenses, and minimize frustration for both patients and practitioners. |
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| Autores principais: | Reffóios, Afonso Maria Esperança Pina e Saraiva de |
| Assunto: | Polimorfismos de base única Implantes dentários Implantação dentária Falência de implantes Perda de implantes Polymorphism single nucleotide Dental implants Dental implantation Implant failure Implant loss |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Universidade Católica Portuguesa |
| Idioma: | inglês |
| Origem: | Veritati - Repositório Institucional da Universidade Católica Portuguesa |
| Resumo: | Introduction: Dental implants have high success rates, but loss or failure may occur. Among factors that lead to dental implant loss or failure, single-nucleotide polymorphisms (SNPs) have emerged as potential genetic markers. SNPs can have a role in inflammatory response, bone metabolism, and healing capacity. Exploring these genetic associations represents a promising field in precision dentistry. Objective: To catalog the SNPs that have been associated with dental implant loss/failure, to systematize the evidence on the genetic factors underlying this condition. Methods: This systematic review was conducted according to the PRISMA 2020 guidelines and the PICO framework. The research question was: “Does the presence of SNPs, when compared with their absence, modify the success rates in dental implant patients?”. The literature search was performed in the Medline/PubMed, Scopus, and Web of Science databases using a search expression with free-text and MeSH terms. Studies were selected based on pre-established exclusion criteria. After screening, 18 studies were included. Results: A total of 15 genes and 44 SNPs were analyzed. Six significant associations with dental implant loss or failure were found. MMP8 rs11225395 was analyzed by two studies, both reporting significant associations. IL1A rs1800587 and IL1B rs1143634 were analyzed in four and five studies, respectively, but only once were they associated with dental implant loss or failure. Both IL4 rs2070874 and LTA rs2009658 were analyzed in one study only but with significant findings in both cases. Finally, an association with implant failure or loss was also reported in one of the two studies focusing on IL10 rs1800871 (despite significance was lost after Bonferroni correction). Conclusion: Based on the gathered evidence, SNPs appear to play a significant role in modifying dental implants success rates. This personalized approach, when applied in patients can potentially reduce complications, expenses, and minimize frustration for both patients and practitioners. |
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