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Published in: BMC Oral Health 1/2015

Open Access 01-12-2015 | Research article

Genes related to inflammation and bone loss process in periodontitis suggested by bioinformatics methods

Authors: Liang Song, Jueqi Yao, Zhijing He, Bin Xu

Published in: BMC Oral Health | Issue 1/2015

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Abstract

Background

Despite of numerous studies on periodontitis, the mechanism underlying the progression of periodontitis still remains largely unknown. This study aimed to have an expression profiling comparison between periodontitis and normal control and to identify more candidate genes involved in periodontitis and to gain more insights into the molecular mechanisms of periodontitis progression.

Methods

The gene expression profile of GSE16134, comprising 241 gingival tissue specimens and 69 healthy samples as control which were obtained from 120 systemically healthy patients with periodontitis (65 with chronic and 55 with aggressive periodontitis), was downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in periodontitis samples were screened using the limma package in R compared with control samples. Gene Ontology (GO) and pathway enrichment analysis upon the DEGs were carried out using Hypergeometric Distribution test. Protein-protein interaction (PPI) network of the DEGs was constructed using Cytoscape, followed by module selection from the PPI network using MCODE plugin. Moreover, transcription factors (TFs) of these DEGs were identified based on TRANSFAC database and then a regulatory network was constructed.

Results

Totally, 762 DEGs (507 up- and 255 down-regulated) in periodontitis samples were identified. DEGs were enriched in different GO terms and pathways, such as immune system process, cell activation biological processes, cytokine-cytokine receptor interaction, and metabolic pathways. Cathepsin S (CTSS) and pleckstrin (PLEK) were the hub proteins in the PPI network and 3 significant modules were selected. Moreover, 19 TFs were identified including interferon regulatory factor 8 (IRF8), and FBJ murine osteosarcoma viral oncogene homolog B (FOSB).

Conclusion

This study identified genes (CTSS, PLEK, IRF-8, PTGS2, and FOSB) that may be involved in the development and progression of periodontitis.
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Metadata
Title
Genes related to inflammation and bone loss process in periodontitis suggested by bioinformatics methods
Authors
Liang Song
Jueqi Yao
Zhijing He
Bin Xu
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Oral Health / Issue 1/2015
Electronic ISSN: 1472-6831
DOI
https://doi.org/10.1186/s12903-015-0086-7

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