ArticleInternational dental journal2025
Exploring the Shared Genetic Characteristics of Peri-Implantitis and Osteoporosis: A Transcriptomic Analysis Perspective.
Article in International dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Advancements in Bimetallic Metal-Organic Frameworks for Oral Medicine.International dental journal · 2026Review
- Artificial Intelligence for Osteoporosis Diagnosis, Risk Prediction and Therapy: Current Advances, Clinical Challenges, and Future Perspectives.Clinical interventions in aging · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
INTRODUCTION AND
aimsIncreasing evidence suggests an association between peri-implantitis and osteoporosis, both of which are prevalent diseases that significantly affect patient quality of life. This study aimed to investigate the shared genes and molecular mechanisms underlying the co-pathogenesis of peri-implantitis and osteoporosis.
methodsTranscriptomic data from blood samples of patients with peri-implantitis and osteoporosis. were downloaded from the Gene Expression Omnibus database and shared differentially expressed genes (DEGs) were identified. Analysis of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways was next conducted for shared DEGs. Then, an mRNA-miRNA network of the hub genes was established based on the miRTarbase database. Potential drugs related to the hub genes were predicted using the Genecards database. Finally, the CIBERSORT core algorithm was used to calculate immune cell infiltration levels.
resultsUtilizing several gene expression datasets (GSE33774, GSE106090, GSE35956, and GSE35958), we identified a total of 10,839 DEGs. Notably, we identified 3 hub genes that exhibited differential expression in 4 datasets. Functional enrichment analysis revealed that intersected DEGs are involved in regulating oxidative stress, lipid metabolism, and osteoclast differentiation, while immune cell infiltration analyses highlighted correlations between gene expression and various immune cell types. Furthermore, our miRNA-mRNA interaction network analysis suggested complex regulatory mechanisms related to the hub genes. Finally, potential drug targets associated with these hub genes are identified.
conclusionThis study provides valuable insights into the molecular mechanisms underlying peri-implantitis and osteoporosis, highlighting the potential for further investigation into targeted therapies that may improve clinical outcomes for affected patients. CLINICAL RELEVANCE: The clinical translational value ranges from biomarkers to treatment targets. Shared genes may act as diagnostic markers, informing both the risk of osteoporosis and the bone integration ability of implants. Drugs targeting common genes may offer the potential for 'one drug, two effects'.
Indexed as
Identifiers
What OpenQuestion holds
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.