ArticleAging2021
Identification of inflammation-related DNA methylation biomarkers in periodontitis patients based on weighted co-expression analysis.
Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- Neighborhood environmental burden and the elderly's complete edentulism prevalence in the US.BMC public health · 2025Article
- The role of genome-wide DNA methylation and polymorphisms in periodontitis etiology: A narrative review.Biomolecules & biomedicine · 2025Review
- DNA Methylation in Periodontal Disease: A Focus on Folate, Folic Acid, Mitochondria, and Dietary Intervention.International journal of molecular sciences · 2025Review
- Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024Review
- Periodontitis associated with risk of obstructive sleep apnea in Peruvian adult patients: A cross-sectional study.Medicina oral, patologia oral y cirugia bucal · 2024Observational
- The Genetic Aspects of Periodontitis Pathogenesis and the Regenerative Properties of Stem Cells.Cells · 2024Review
- The rosetta stone of successful ageing: does oral health have a role?Biogerontology · 2023Review
- Identification of key module and hub genes in pulpitis using weighted gene co-expression network analysis.BMC oral health · 2023Article
- Construction of artificial neural network diagnostic model and analysis of immune infiltration for periodontitis.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence from past research has shown that DNA methylation plays a key role in the pathogenesis of periodontitis, regulating gene expression levels and thereby affecting the occurrence of various diseases. Three sample sets of methylation data and gene expression data were downloaded from Gene Expression Omnibus (GEO) database. A diagnostic classifier is established based on gene expression data and CpG methylation data. Abnormal expression of immune-related pathways and methyltransferase-related genes in patients with periodontitis was detected. A total of 8,029 differentially expressed CpG (DMP) was annotated to the promoter region of 4,940 genes, of which 295 immune genes were significantly enriched. The CpG sites of 23 differentially co-expressed immune gene promoter regions were identified, and 13 CpG were generally hypermethylated in healthy group samples, while some were methylated in most patients. Five CpGs were screened as robust periodontitis biomarkers. The accuracy in the training data set, the two external verification data sets, and in the transcriptome was 95.5%, 80% and 78.3%, and 82.6%, respectively. This study provided new features for the diagnosis of periodontitis, and contributed to the personalized treatment of periodontitis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.