ArticleBioMed research international2021
Shared Molecular Mechanisms between Alzheimer's Disease and Periodontitis Revealed by Transcriptomic Analysis.
Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 22 citations in OpenAlex.
- Immune System Involvement and Therapeutic Targets in Alzheimer's Disease: Insights from Transcriptomic Data Analysis.Advances in experimental medicine and biology · 2026Article
- Exploring the Link Between Periodontitis and Alzheimer's Disease-Could a Nanoparticulate Vaccine Break It?Pharmaceutics · 2025Review
- Article
- Comparison of light gradient boosting and logistic regression for interactomic hub genes inFrontiers in oral health · 2025Article
- Comparative gene regulatory networks modulatingmedRxiv : the preprint server for health sciences · 2024Article
- A review and analysis of key biomarkers in Alzheimer's disease.Frontiers in neuroscience · 2024Review
- The Relationship Between Periodontal Disease and Breast Cancer: From Basic Mechanism to Clinical Management and Prevention.Oral health & preventive dentistry · 2023Review
- Article
- Transcriptomic analysis reveals pathophysiological relationship between chronic obstructive pulmonary disease (COPD) and periodontitis.BMC medical genomics · 2022Article
- Periodontal microorganisms and Alzheimer disease - A causative relationship?Periodontology 2000 · 2022Review
- Association of Alzheimer's disease and periodontitis - a systematic review and meta-analysis of evidence from observational studies.Medicine and pharmacy reports · 2022Review
- Transcriptomic Analysis Reveals Genetic Cross-Talk between Periodontitis and Hypothyroidism.Disease markers · 2022Article
- Gene Differential Expression and Interaction Networks Illustrate the Biomarkers and Molecular Mechanisms of Atherosclerotic Cerebral Infarction.Journal of healthcare engineering · 2022Article
- Identification of Neuropeptides as Potential Crosstalks Linking Down Syndrome and Periodontitis Revealed by Transcriptomic Analyses.Disease markers · 2021Article
- Neuropeptides as the Shared Genetic Crosstalks Linking Periodontitis and Major Depression Disorder.Disease markers · 2021Article
- Similarity and Potential Relation Between Periimplantitis and Rheumatoid Arthritis on Transcriptomic Level: Results of a Bioinformatics Study.Frontiers in immunology · 2021Article
- Potential Common Molecular Mechanisms Between Periodontitis and Hepatocellular Carcinoma: A Bioinformatic Analysis and Validation.Cancer genomics & proteomicsArticle
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Authors and funding
21 authors at 10 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the genetic crosstalk mechanisms that link periodontitis and Alzheimer's disease (AD).
backgroundPeriodontitis, a common oral infectious disease, is associated with Alzheimer's disease (AD) and considered a putative contributory factor to its progression. However, a comprehensive investigation of potential shared genetic mechanisms between these diseases has not yet been reported.
methodsGene expression datasets related to periodontitis were downloaded from the Gene Expression Omnibus (GEO) database, and differential expression analysis was performed to identify differentially expressed genes (DEGs). Genes associated with AD were downloaded from the DisGeNET database. Overlapping genes among the DEGs in periodontitis and the AD-related genes were defined as crosstalk genes between periodontitis and AD. The Boruta algorithm was applied to perform feature selection from these crosstalk genes, and representative crosstalk genes were thus obtained. In addition, a support vector machine (SVM) model was constructed by using the scikit-learn algorithm in Python. Next, the crosstalk gene-TF network and crosstalk gene-DEP (differentially expressed pathway) network were each constructed. As a final step, shared genes among the crosstalk genes and periodontitis-related genes in DisGeNET were identified and denoted as the core crosstalk genes.
resultsFour datasets (GSE23586, GSE16134, GSE10334, and GSE79705) pertaining to periodontitis were included in the analysis. A total of 48 representative crosstalk genes were identified by using the Boruta algorithm. Three TFs (FOS, MEF2C, and USF2) and several pathways (i.e., JAK-STAT, MAPK, NF-kappa B, and natural killer cell-mediated cytotoxicity) were identified as regulators of these crosstalk genes. Among these 48 crosstalk genes and the chronic periodontitis-related genes in DisGeNET, C4A, C4B, CXCL12, FCGR3A, IL1B, and MMP3 were shared and identified as the most pivotal candidate links between periodontitis and AD.
conclusionsExploration of available transcriptomic datasets revealed C4A, C4B, CXCL12, FCGR3A, IL1B, and MMP3 as the top candidate molecular linkage genes between periodontitis and AD.
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