Dongcan Mo, Xiaoling Li, Jing He, Xiaozuo Lin, Pingkai Wang, Yinan Zeng, Xiaoju Wu, LiuYu Liu, Li Chi, Man Luo
{"title":"Chronic gingivitis increases the risk of early-onset Alzheimer's disease.","authors":"Dongcan Mo, Xiaoling Li, Jing He, Xiaozuo Lin, Pingkai Wang, Yinan Zeng, Xiaoju Wu, LiuYu Liu, Li Chi, Man Luo","doi":"10.1177/13872877251336259","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundPeriodontal disease has two types of inflammatory states: gingivitis and periodontitis. While studies suggest a link between periodontal disease and Alzheimer's disease (AD), current evidence is insufficient to establish causality. This study employed Mendelian randomization (MR) and bioinformatics to investigate causal relationships between gingivitis, periodontitis, and AD types, while identifying diagnostic biomarkers through transcriptome-based bioinformatics approaches.ObjectiveThis study aims to explore the causal relationship between periodontal disease and AD using MR combined with bioinformatics analysis, investigate potential pathogenesis, and construct/validate diagnostic biomarkers.MethodsExposures and outcomes were selected from the Open whole-genome association study. Causal relationships were assessed using inverse variance-weighted (IVW), MR-Egger, and other supplementary methods. Transcriptome sequencing datasets were downloaded from Gene Expression Omnibus datasets. Key pathways and functions were identified through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. Protein-protein interaction and LASSO regression were used to construct and evaluate the diagnostic signature for early-onset AD (EOAD). Gene Set Enrichment Analysis was applied to analyze gene set enrichment between high and low-risk groups.ResultsIVW showed a positive correlation (OR = 1.161, 95% CI = 1.011-1.332, p = 0.035), and MR-Egger validated this result (OR = 1.296, 95% CI = 1.020-1.645, p = 0.049). These findings suggest that chronic gingivitis may increase EOAD risk. Reverse analysis results were negative. Immune activation, angiogenesis, and blood-brain barrier damage link the two diseases. The Inter-alpha-trypsin inhibitor heavy chain H5 (<i>ITIH5</i>) gene and <i>TGFB</i> pathway emerged in MR and bioinformatics analyses. A gene signature composed of <i>ITIH5</i>, <i>MFAP4</i>, and <i>PRELP</i> shows potential for diagnosing EOAD.ConclusionsChronic gingivitis may be associated with an increased risk of EOAD.</p>","PeriodicalId":14929,"journal":{"name":"Journal of Alzheimer's Disease","volume":" ","pages":"13872877251336259"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Alzheimer's Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/13872877251336259","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
BackgroundPeriodontal disease has two types of inflammatory states: gingivitis and periodontitis. While studies suggest a link between periodontal disease and Alzheimer's disease (AD), current evidence is insufficient to establish causality. This study employed Mendelian randomization (MR) and bioinformatics to investigate causal relationships between gingivitis, periodontitis, and AD types, while identifying diagnostic biomarkers through transcriptome-based bioinformatics approaches.ObjectiveThis study aims to explore the causal relationship between periodontal disease and AD using MR combined with bioinformatics analysis, investigate potential pathogenesis, and construct/validate diagnostic biomarkers.MethodsExposures and outcomes were selected from the Open whole-genome association study. Causal relationships were assessed using inverse variance-weighted (IVW), MR-Egger, and other supplementary methods. Transcriptome sequencing datasets were downloaded from Gene Expression Omnibus datasets. Key pathways and functions were identified through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. Protein-protein interaction and LASSO regression were used to construct and evaluate the diagnostic signature for early-onset AD (EOAD). Gene Set Enrichment Analysis was applied to analyze gene set enrichment between high and low-risk groups.ResultsIVW showed a positive correlation (OR = 1.161, 95% CI = 1.011-1.332, p = 0.035), and MR-Egger validated this result (OR = 1.296, 95% CI = 1.020-1.645, p = 0.049). These findings suggest that chronic gingivitis may increase EOAD risk. Reverse analysis results were negative. Immune activation, angiogenesis, and blood-brain barrier damage link the two diseases. The Inter-alpha-trypsin inhibitor heavy chain H5 (ITIH5) gene and TGFB pathway emerged in MR and bioinformatics analyses. A gene signature composed of ITIH5, MFAP4, and PRELP shows potential for diagnosing EOAD.ConclusionsChronic gingivitis may be associated with an increased risk of EOAD.
期刊介绍:
The Journal of Alzheimer''s Disease (JAD) is an international multidisciplinary journal to facilitate progress in understanding the etiology, pathogenesis, epidemiology, genetics, behavior, treatment and psychology of Alzheimer''s disease. The journal publishes research reports, reviews, short communications, hypotheses, ethics reviews, book reviews, and letters-to-the-editor. The journal is dedicated to providing an open forum for original research that will expedite our fundamental understanding of Alzheimer''s disease.