Predicting interactome networks of up/down regulated proteins and drug-gene interaction analysis associated with peri-implantitis

ABSTRACT Background: Peri-implantitis is implant-associated inflammation that leads to irreversible loss of surrounding bone. Early diagnosis increases the success of peri-implantitis treatment. Despite various studies associated with this most common complication, early detection of the onset of pe...

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Vydané v:Dental research journal Ročník 22; číslo 1; s. 3
Hlavní autori: Asadzadeh, Azizeh, Moattar, Fatemeh Shams, Moshfegh, Azam
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: India Wolters Kluwer - Medknow 01.01.2025
Medknow Publications and Media Pvt. Ltd
Medknow Publications & Media Pvt. Ltd
Wolters Kluwer Medknow Publications
Vydanie:2
Predmet:
Analysis
biomarkers
Complications and side effects
CXCL10 protein
Diagnosis
Drug development
Fc receptors
Forecasts and trends
Gene expression
Genetic aspects
Implant dentures
Mouth diseases
Original
Original Article
peri-implantitis
protein interaction
Protein-protein interactions
Risk factors
Therapeutic targets
therapeutics
Iran
Biomarkers
therapeutics
protein interaction
gene expression
peri-implantitis
ISSN:1735-3327, 2008-0255
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Shrnutí:ABSTRACT Background: Peri-implantitis is implant-associated inflammation that leads to irreversible loss of surrounding bone. Early diagnosis increases the success of peri-implantitis treatment. Despite various studies associated with this most common complication, early detection of the onset of peri-implantitis remains a major challenge. Molecular biomarkers are applicable detectors for the early detection of numerous diseases and monitoring their development. The present study aimed to predict interactome networks of up/down regulated proteins and analyze drug-gene interaction in peri-implantitis to identify the diagnostic and druggable genes. Materials and Methods: In this in silico study, a suitable gene expression profile related to peri-implantitis was retrieved from Gene Expression Omnibus. Screening differentially expressed genes (DEGs) was carried out based on the cut-off criteria |log2 (fold change)|>2 and P < 0.05. Interactome networks were constructed and analyzed by the STRING database (Version: 12.0) and the Cytoscape software (version: 3.9.1). Finally, to investigate drug-gene interaction, detected hub genes were analyzed by DGIdb (version: 5.0.6). Results: A total of 216 genes were identified as DEGs (129 down-regulated and 87 up-regulated genes) in peri-implantitis. Regarding Cytoscape analysis, FCGR3B, CSF3R, AQP9, TREM1, and P2RY13 were the top 5 hub nodes of up-regulated DEGs, and CXCL10, OASL, IFIT1, RSAD2, and ISG15 were the top 5 hub nodes of down-regulated DEGs. Among these key nods, AQP9, CSF3R, CXCL10, IFIT1, ISG15, OASL, and, FCGR3B were therapeutic targets and had approved drugs. Conclusion: In this research, seven genes have been identified as druggable genes in peri-implantitis which can be used to treat and diagnose this disease. However, these results and identified genes need to be validated by clinical or experimental methods.
Bibliografia:ObjectType-Article-1
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ISSN:1735-3327
2008-0255
DOI:10.4103/drj.drj_288_24