SynthesisInternational journal of molecular sciences2022
Meta-Analysis of Two Human RNA-seq Datasets to Determine Periodontitis Diagnostic Biomarkers and Drug Target Candidates.
Synthesis in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Diagnostic and Therapeutic Approaches in Periodontology: From Traditional Concepts to Modern Innovations.Biomedicines · 2026Review
- Influence of Genetic and Epigenetic Factors on Periodontitis Susceptibility and Treatment Outcomes.Biochemical genetics · 2026Review
- LncRNA FAM30A as a potential biomarker associated with periodontitis and its role in inflammatory responses and osteogenesis.BMC oral health · 2026Article
- hStouffer: the enhanced meta-analysis method for the comprehensive analysis of large-scale RNA-seq data.BMC bioinformatics · 2026Article
- Integrated transcriptomics and metabolomics reveal the effects of chronic alcohol consumption on periodontitis in rats.Frontiers in immunology · 2026Article
- Association between lipid accumulation product (LAP) index and self-reported oral health outcomes: a cross-sectional study.Lipids in health and disease · 2025Article
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- Secondary Analysis of Human Bulk RNA-Seq Dataset Suggests Potential Mechanisms for Letrozole Resistance in Estrogen-Positive (ER+) Breast Cancer.Current issues in molecular biology · 2024Article
- Transcriptional Signatures and Network-Based Approaches Identified Master Regulators Transcription Factors Involved in Experimental Periodontitis Pathogenesis.International journal of molecular sciences · 2023Article
- Article
- Immunomodulatory role of oral microbiota in inflammatory diseases and allergic conditions.Frontiers in allergy · 2023Review
- Host mRNA Analysis of Periodontal Disease Patients Positive forInternational journal of molecular sciences · 2022Review
- Joint Secondary Transcriptomic Analysis of Non-Hodgkin's B-Cell Lymphomas Predicts Reliance on Pathways Associated with the Extracellular Matrix and Robust Diagnostic Biomarkers.Journal of bioinformatics and systems biology : Open access · 2022Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Periodontitis is a chronic inflammatory oral disease that affects approximately 42% of adults 30 years of age or older in the United States. In response to microbial dysbiosis within the periodontal pockets surrounding teeth, the host immune system generates an inflammatory environment in which soft tissue and alveolar bone destruction occur. The objective of this study was to identify diagnostic biomarkers and the mechanistic drivers of inflammation in periodontitis to identify drugs that may be repurposed to treat chronic inflammation. A meta-analysis comprised of two independent RNA-seq datasets was performed. RNA-seq analysis, signal pathway impact analysis, protein-protein interaction analysis, and drug target analysis were performed to identify the critical pathways and key players that initiate inflammation in periodontitis as well as to predict potential drug targets. Seventy-eight differentially expressed genes, 10 significantly impacted signaling pathways, and 10 hub proteins in periodontal gingival tissue were identified. The top 10 drugs that may be repurposed for treating periodontitis were then predicted from the gene expression and pathway data. The efficacy of these drugs in treating periodontitis has yet to be investigated. However, this analysis indicates that these drugs may serve as potential therapeutics to treat inflammation in gingival tissue affected by periodontitis.
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Registered trials
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