ArticlePeerJ2019
Molecular mechanisms linking peri-implantitis and type 2 diabetes mellitus revealed by transcriptomic analysis.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 28 citations in OpenAlex.
- Association of RANK polymorphisms with the susceptibility of peri-implantitis in Chinese Han population.Odontology · 2026Article
- Enhancing dental implant outcomes in type 2 diabetes: Addressing inflammation and risk factors.World journal of diabetes · 2026Article
- Is 26S proteasome non-ATPase regulatory subunit 6 a potential molecular target for intrahepatic cholangiocarcinoma?World journal of hepatology · 2024Article
- Naringin and temozolomide combination suppressed the growth of glioblastoma cells by promoting cell apoptosis: network pharmacology,Frontiers in pharmacology · 2024Article
- Current Molecular, Cellular and Genetic Aspects of Peri-Implantitis Disease: A Narrative Review.Dentistry journal · 2023Review
- Integrated strategy of RNA-sequencing and network pharmacology for exploring the protective mechanism of Shen-Shi-Jiang-Zhuo formula in rat with non-alcoholic fatty liver disease.Pharmaceutical biology · 2022Article
- Levels of SERPIN family proteins in peri-implant crevicular fluid in patients with peri-implantitis.Journal of clinical laboratory analysis · 2021Article
- Identification and integrated analysis of differentially expressed long non-coding RNAs associated with periodontitis in humans.Journal of periodontal research · 2021Article
- Effect of Titanium and Zirconium Oxide Microparticles on Pro-Inflammatory Response in Human Macrophages under Induced Sterile Inflammation: An In Vitro Study.Materials (Basel, Switzerland) · 2021Article
- A Network Pharmacology Approach to Explore the Mechanism of HuangZhi YiShen Capsule for Treatment of Diabetic Kidney Disease.Journal of translational internal medicine · 2021Article
- qPCR Analysis Reveals Association of Differential Expression ofFrontiers in endocrinology · 2021Article
- Similarity and Potential Relation Between Periimplantitis and Rheumatoid Arthritis on Transcriptomic Level: Results of a Bioinformatics Study.Frontiers in immunology · 2021Article
- Differential Gene Expression Changes in Human Primary Dental Pulp Cells Treated with Biodentine and TheraCal LC Compared to MTA.Biomedicines · 2020Article
- Integrated Analysis to Study the Relationship between Tumor-Associated Selenoproteins: Focus on Prostate Cancer.International journal of molecular sciences · 2020Article
- Uncovering the Mechanism of Astragalus membranaceus in the Treatment of Diabetic Nephropathy Based on Network Pharmacology.Journal of diabetes research · 2020Article
- Mangiferin alleviates experimental peri-implantitis via suppressing interleukin-6 production and Toll-like receptor 2 signaling pathway.Journal of orthopaedic surgery and research · 2019Article
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Authors and funding
9 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsTo explore molecular mechanisms that link peri-implantitis and type 2 diabetes mellitus (T2DM) by bioinformatic analysis of publicly available experimental transcriptomic data. MATERIALS AND
methodsGene expression data from peri-implantitis were downloaded from the Gene Expression Omnibus database, integrated and differentially expressed genes (DEGs) in peri-implantitis were identified. Next, experimentally validated and computationally predicted genes related to T2DM were downloaded from the DisGeNET database. Protein-protein interaction network (PPI) pairs of DEGs related to peri-implantitis and T2DM related genes were constructed, "hub" genes and overlapping DEG were determined. Functional enrichment analysis was used to identify significant shared biological processes and signaling pathways. The PPI networks were subjected to cluster and specific class analysis for identifying "leader" genes. Module network analysis of the merged PPI network identified common or cross-talk genes connecting the two networks.
resultsA total of 92 DEGs overlapped between peri-implantitis and T2DM datasets. Three hub genes (IL-6, NFKB1, and PIK3CG) had the highest degree in PPI networks of both peri-implantitis and T2DM. Three leader genes (PSMD10, SOS1, WASF3), eight cross-talk genes (PSMD10, PSMD6, EIF2S1, GSTP1, DNAJC3, SEC61A1, MAPT, and NME1), and one signaling pathway (IL-17 signaling) emerged as peri-implantitis and T2DM linkage mechanisms.
conclusionsExploration of available transcriptomic datasets revealed IL-6, NFKB1, and PIK3CG expression along with the IL-17 signaling pathway as top candidate molecular linkage mechanisms between peri-implantitis and T2DM.
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