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Updated: Sep 25, 2025
A Mouse Model for Pathogen-induced Chronic Inflammation at Local and Systemic Sites
Published on: August 8, 2014
Transcriptome analysis of differentially expressed genes involved in the inflammageing status of gingiva in aged mice
Zhen Chen1, Zimo Huang2, Xiaowei Zhao1
1The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, Wuhan University, Wuhan, China.
Objective:
To identify immune-inflammation-related genes related to susceptibility to periodontitis in the gingiva of aged mice with RNA sequencing.
Methods:
Gingival samples from 18-month-old, 8-week-old healthy mice and 8-week-old mice with periodontitis were taken for RNA-seq. The differentially expressed genes (DEGs) were validated with qRT-PCR using mouse and human gingival samples.
Results:
977 (upregulated) and 1824 (downregulated) genes were identified in the old compared with the young mice. 14.2% were related to immune-inflammatory responses. This proportion of overlap (ageing and periodontitis)-DEGs was higher (48.4%). Enrichment analysis of overlap (ageing and periodontitis)-DEGs showed that the top five GO and KEGG terms were related to the immune-inflammatory responses, and disease analysis was more specific to periodontitis. The candidate genes of overlap (ageing and periodontitis)-DEGs selected by protein-protein interaction (PPI) network showed the higher match with clinical data sets. By qRT-PCR, nine candidate genes were identified as hub genes that are associated with susceptibility to periodontitis in the elderly, including CXCL3, CXCL5, CSF3, CSF3R, FPR1, IL1B, OSM, SERPINE1 and SELP.
Conclusion:
Our studies provide insights into the mechanisms by which ageing affects the immune-inflammatory status of gingival tissues, thereby increasing the risk of periodontitis. It may become targets for future prevention of periodontitis.
