Patient’s Risk Factors for Dental Implant Success and Failure (A Retrospective Study)

Shuman, Mohammad Abdelhamied

doi:10.21608/edj.2020.47496.1310

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Around 33% of the subjects had to get additional dental procedures done to correct the complications. In a similar study conducted in Ontario, most complications were preventable and the two main causes were poor planning and permanent paraesthesia [27,28].…”

Section: Discussionmentioning

confidence: 99%

A Survey on the Problems Faced by Patients Undergoing Dental Implants during Coronavirus Pandemic

Srigopika

Premavathy

2021

JPRI

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Aim: To analyse the problems faced by patients with dental implants during the pandemic. Introduction: Dental implants have been used for a long time in the dental field and continue to dominate the field. Due to this reason, a huge amount of people go for dental implants. However, they have their own drawbacks and this is worsened by the coronavirus pandemic. Patients are unable to reach their dentist in person which sometimes leads to complications. This study hopes to shed more light on the different types of problems faced by patients with dental implants, especially during this pandemic. Materials and Methods: This study had a sample size of 100 and data was collected using an online questionnaire with a total of 11 questions. The statistical method used to analyse data is SPSS software version 23. Results: Some of the responses had significant p- values (of 0.001 and 0.101) whereas the others did not. Conclusion: By the end of the study, it was concluded that most patients with dental implants underwent a lot of problems during the covid pandemic.

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Section: Discussionmentioning

confidence: 99%

A Survey on the Problems Faced by Patients Undergoing Dental Implants during Coronavirus Pandemic

Srigopika

Premavathy

2021

JPRI

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“…To further explore the function of DEGs in in ammatory progression, GSEA was performed using h.all.v7.0.-symbols.gmt (http://software.broadinstitute.org/gsea/ downloads.jsp) as a reference gene set [ 14]. The GSEA software (version 4.0) is available on the GSEA website (http://software.broadinstitute.org/gsea/index.jsp).…”

Section: The Gene Set Enrichment Analysismentioning

confidence: 99%

Identification of Potential Hub Genes ,Immune Cells and Target Drugs of Peri-Implantitis related to chromosome Using Bioinformatics Tool

Qin

Jiang

et al. 2022

Preprint

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Background：Peri-Implantitis (PI) is a pathological condition associated with dental plaque that occurs in the tissue around dental implant. The traditional methods of evaluating PI have limitations in clinical practice. Non-invasive and accurate diagnosis of PI is essential for determining the appropriate treatment. By integrating and analysing two microarray platform datasets from the GEO database, we aim to identify the diagnostic biomarkers of PI, find the target drugs , and guide the clinical diagnosis and treatment of PI. Methods: The differentially expressed genes (DEG) of PI were identified by integrating two datasets (GSE57631 and GSE106090) into the GEO database using sva and limma packages of R. Then, the main biological functions of DEG were analyzed by Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and Gene Set Enrichment Analysis (GSEA). The hub genes associated with PI were identified by WGCNA, and the protein-protein interaction (PPI) network was constructed by Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) and Cytoscape. The core genes associated with PI were determined through LASSO regression . Meanwhile, The content of immune cells in normal tissue and PI were evaluated using the CIBERSORT . Finally, target drugs and the target miRNA of PI chromosomes were found by Drug Signature Database and TargetScan respectively. Results：A total of 425 DEG were found in PI, including 214 upregulated and 211 downregulated genes. GO analysis shows that DEGs were enriched in biological processes related to inflammation, the enriched pathways in the KEGG pathway analysis were Cytokine-cytokine receptor interaction, Chemokine signaling pathway, B cell receptor signaling pathway.The results of GSEA revealed that the gene expression of B cells was higher than myeloid (NES = 2.51) in Peri-Implantitis group. Ten hub genes associated with PI were found by WGCNA analysis. Two core genes (CD38 and IRF4) related to Peri-Implantitis were obtained by LASSO. 32 hub genes related to PI chromosomes were found by PPI network constructed by Cytoscape. 22 kinds of immune cells and 13 kinds of immune reaction processes related to PI were identified by CIBERSORT. Ten target drugs and ten target miRNA were found by Drug Signature Database and TargetScan respectively. Conclusions: Through the bioinformatics analysis of merged datasets, the Hub genes, immune cells and target drugs related to Peri-Implantitis chromosomes were screened. The results can provide guidance for the clinical treatment of Peri-Implantitis.

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Patient’s Risk Factors for Dental Implant Success and Failure (A Retrospective Study)

Cited by 2 publications

References 20 publications

A Survey on the Problems Faced by Patients Undergoing Dental Implants during Coronavirus Pandemic

A Survey on the Problems Faced by Patients Undergoing Dental Implants during Coronavirus Pandemic

Identification of Potential Hub Genes ,Immune Cells and Target Drugs of Peri-Implantitis related to chromosome Using Bioinformatics Tool

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