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Ageing-Associated Transcriptomic Alterations in Peri-Implantitis Pathology: A Bioinformatic Study.

¹College of Dentistry, I.M. Sechenov First Moscow State Medical University, Bolshaya Pirogovskaya Street, No. 2с4, Moscow 119435, Russia.

Disease Markers

|October 21, 2022

Summary

This study uncovers key genes linking aging and peri-implantitis, highlighting neurodegeneration and inflammation pathways. MAPT and ALOX5AP are identified as potential therapeutic targets for clinical translation.

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Area of Science:

Biomolecular mechanisms
Bioinformatics
Genomics

Background:

Aging increases peri-implantitis risk, but underlying biological mechanisms remain unclear.
Understanding these mechanisms is crucial for developing targeted interventions.
This study investigates the molecular interplay between aging and peri-implantitis.

Purpose of the Study:

To perform integrative bioinformatics analysis of public datasets.
To identify molecular mechanisms and key genes associated with both aging and peri-implantitis.
To uncover potential therapeutic targets for clinical translation.

Main Methods:

Analysis of gene expression datasets for aging and peri-implantitis.
Identification of differentially expressed genes (DEGs) and aging-related genes.

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Functional enrichment, protein-protein interaction (PPI) network, and immune cell infiltration analyses.

LASSO logistic regression to identify key age-related peri-implantitis (PI) genes.

Main Results:

52 age-related PI genes were identified, enriched in inflammation pathways (e.g., NF-kappa B, IL-17, TNF signalling).
Hub genes in PPI network included LYN, CDKN2A, MAPT, BTK, and PRKCB.
Key genes (ALOX5AP, EAF2, FAM46C, GZMK, MAPT, RGS1, SOSTDC1) were linked to neurodegeneration, MAPK, and Fc epsilon RI signalling.
Activated dendritic cells and T cells were abundant in PI and aging.

Conclusions:

A 7-gene signature associated with aging and peri-implantitis was identified, implicating neurodegeneration, autoimmune, and inflammation pathways.
MAPT and ALOX5AP emerged as critical candidate genes for further clinical investigation.
Bioinformatics approach successfully elucidated molecular links between aging and peri-implantitis.