ArticleBioMed research international2022
Identification of Key Gene Targets for Periodontitis Treatment by Bioinformatics Analysis.
Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Multi-omics analysis identifies oxidative stress-related biomarkers and therapeutic targets linking periodontitis and ulcerative colitis via the oral-gut axis.Frontiers in immunology · 2026Article
- Deciphering hub genes and immune landscapes related to neutrophil extracellular traps in spinal cord injury: insights from integrated bioinformatics analyses and experiments.Frontiers in immunology · 2026Article
- Identification and Validation of Aging- and Endoplasmic Reticulum Stress-Related Genes in Periodontitis Using a Competing Endogenous RNA Network.Inflammation · 2025Article
- Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning.Frontiers in immunology · 2025Article
- Integrating GEO Database, Mendelian Randomization, and Molecular Docking to Identify HLA-C as a Potential Therapeutic Target for Periodontitis.Mediators of inflammation · 2025Article
- Potential diagnostic markers and therapeutic targets for DM2 and periodontitis based on bioinformatics analysis.PloS one · 2025Article
- Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis.International journal of molecular sciences · 2023Article
- DAMPs and alarmin gene expression patterns in aging healthy and diseased mucosal tissues.Frontiers in oral health · 2023Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Periodontitis is considered to be the leading cause of tooth loss in adults, and it interacts with some serious systemic diseases. Periodontal basic therapy is the cornerstone of periodontal disease treatment and long-term maintenance and has a positive impact on the treatment of systemic diseases. Aim: To explore the potential gene targets of periodontitis therapies by bioinformatics method. Methods: We analyzed the expression database (GSE6751) downloaded from the Gene Expression Omnibus (GEO) with weighted gene coexpression network analysis (WGCNA) to confirm the functional gene modules. Pathway enrichment network analyses the key genes in functional modules and verified the candidate genes from the samples in peripheral blood sources of GSE43525. Moreover, we confirmed the expression of target protein in the periodontal tissues of experimental periodontitis-afflicted mice using western blotting. Results: The functional gene modules were found to have biological processes, and Conclusions: FCGR1A (CD64) may be a key gene target for periodontal therapy in patients with periodontitis and other systemic diseases.
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