Predictability of Dental Implants

Mauer, Reihaneh G.; Shadrav, Aida; Dashti, Mahmood

doi:10.1007/978-3-030-75750-2_7

Cited by 2 publications

(2 citation statements)

References 39 publications

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“…The quality and quantity of the patient's bone should be evaluated to determine the most convenient approach to implant placement. In a few circumstances, sinus elevation or bone grafting may be required for the successful placement of an implant [13,14]. Fathi et al (2023) say that clinicians need to think about how different surface changes and implant materials affect osseointegration.…”

Section: Implant Considerationsmentioning

confidence: 99%

Bone formation in oral surgery, the concept and limitation: A review of literature

Aghadavudi¹,

Kousha²,

Ariana³

et al. 2023

World J. Adv. Eng. Technol. Sci.

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The process of bone formation is a crucial component of oral surgery, particularly in instances where bone deficiencies or defects exist. The success of bone formation in oral surgery depends on different factors, such as the quality and quantity of the bone graft, the patient’s local and systemic conditions, and surgical techniques. The major aim of this review is to provide a brief overview of the basics of bone formation and describe the concepts related to the regeneration of bone in oral surgery. This article also highlighted different factors leading to bone loss and the potential risks related to dental implant surgery. The article places particular emphasis on osteonecrosis, which occurs due to an improper supply of blood to the bone tissue. This article concludes that further research is needed to explore different techniques to encourage efficient and safe formation of bone in oral surgery.

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Section: Implant Considerationsmentioning

confidence: 99%

Bone formation in oral surgery, the concept and limitation: A review of literature

Aghadavudi¹,

Kousha²,

Ariana³

et al. 2023

World J. Adv. Eng. Technol. Sci.

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“…Dental implants have emerged as a widely practised globally [ 1 ] and predictable modality for replacement of missing teeth [ 2 ] with high success rates [ 3 ]. Dental implant technology is also rapidly evolving to enable improved treatment outcomes [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Ageing-Associated Transcriptomic Alterations in Peri-Implantitis Pathology: A Bioinformatic Study

Tian

2022

Disease Markers

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Background. Ageing is associated with increased incidence of peri-implantitis but the roles of ageing-associated biological mechanisms in the occurrence of peri-implantitis are not known. This study is aimed at performing integrative bioinformatic analysis of publically available datasets to uncover molecular mechanisms related to ageing and peri-implantitis. Methods. Gene expression datasets related to ageing and peri-implantitis (PI) were sought, and differentially expressed genes (DEGs) were analysed. Ageing-related genes were also identified from the “Aging Atlas” database. Using intersection analysis, an age-related-PI gene set was identified. Functional enrichment analysis for enriched GO biological process and KEGG pathways, protein-protein interaction (PPI) network analysis, correlation analysis, and immune cell infiltration analysis to determine high-abundance immune cells were performed. Least absolute shrinkage and selection operator (LASSO) logistic regression identified key age-related-PI genes. Transcription factor-gene and drug-gene interactions and enriched KEGG pathways for the key age-related-PI genes were determined. Results. A total of 52 genes were identified as age-related-PI genes and found enriched in several inflammation-associated processes including myeloid leukocyte activation, acute inflammatory response, mononuclear cell differentiation, B cell activation, NF-kappa B signalling, IL-17 signalling, and TNF signalling. LYN, CDKN2A, MAPT, BTK, and PRKCB were hub genes in the PPI network. Immune cell infiltration analysis showed activated dendritic cells, central memory CD4 T cells, immature dendritic cells, and plasmacytoid dendritic cells were highly abundant in PI and ageing. 7 key age-related PI genes including ALOX5AP, EAF2, FAM46C, GZMK, MAPT, RGS1, and SOSTDC1 were identified using LASSO with high predictive values and found to be enriched in multiple neurodegeneration-associated pathways, MAPK signalling, and Fc epsilon RI signalling. MAPT and ALOX5AP were associated with multiple drugs and transcription factors and interacted with other age-related genes to regulate multiple biological pathways. Conclusion. A suite of bioinformatics analysis identified a 7-signature gene set highly relevant to cooccurrence of ageing and peri-implantitis and highlighted the role of neurodegeneration, autoimmune, and inflammation related pathways. MAPT and ALOX5AP were identified as key candidate target genes for clinical translation.

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Predictability of Dental Implants

Cited by 2 publications

References 39 publications

Bone formation in oral surgery, the concept and limitation: A review of literature

Bone formation in oral surgery, the concept and limitation: A review of literature

Ageing-Associated Transcriptomic Alterations in Peri-Implantitis Pathology: A Bioinformatic Study

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