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
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.
Key Words: Biomarkers, gene expression, peri-implantitis, protein interaction, therapeutics

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 Azizeh Asadzadeh: Pubmed,Google Scholar