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Article: Molecular mechanisms linking peri-implantitis and type 2 diabetes mellitus revealed by transcriptomic analysis

TitleMolecular mechanisms linking peri-implantitis and type 2 diabetes mellitus revealed by transcriptomic analysis
Authors
KeywordsType 2 diabetes
Peri-implantitis
Gene
Pathway
Bioinformatics
Issue Date2019
PublisherPeerJ, Ltd. The Journal's web site is located at https://peerj.com/
Citation
PeerJ, 2019, v. 7, p. article no. e7124 How to Cite?
AbstractAims-To explore molecular mechanisms that link peri-implantitis and type 2 diabetes mellitus (T2DM) by bioinformatic analysis of publicly available experimental transcriptomic data. Materials and methods-Gene 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.Results-A 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. Conclusions-Exploration 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.
Persistent Identifierhttp://hdl.handle.net/10722/278561
ISSN
2019 Impact Factor: 2.379
2015 SCImago Journal Rankings: 1.095
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorYu, T-
dc.contributor.authorAcharya, A-
dc.contributor.authorMattheos, N-
dc.contributor.authorLi, S-
dc.contributor.authorZiebolz, D-
dc.contributor.authorSchmalz, G-
dc.contributor.authorHaak, R-
dc.contributor.authorSchmidt, J-
dc.contributor.authorSun, Y-
dc.date.accessioned2019-10-21T02:09:49Z-
dc.date.available2019-10-21T02:09:49Z-
dc.date.issued2019-
dc.identifier.citationPeerJ, 2019, v. 7, p. article no. e7124-
dc.identifier.issn2167-8359-
dc.identifier.urihttp://hdl.handle.net/10722/278561-
dc.description.abstractAims-To explore molecular mechanisms that link peri-implantitis and type 2 diabetes mellitus (T2DM) by bioinformatic analysis of publicly available experimental transcriptomic data. Materials and methods-Gene 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.Results-A 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. Conclusions-Exploration 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.-
dc.languageeng-
dc.publisherPeerJ, Ltd. The Journal's web site is located at https://peerj.com/-
dc.relation.ispartofPeerJ-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectType 2 diabetes-
dc.subjectPeri-implantitis-
dc.subjectGene-
dc.subjectPathway-
dc.subjectBioinformatics-
dc.titleMolecular mechanisms linking peri-implantitis and type 2 diabetes mellitus revealed by transcriptomic analysis-
dc.typeArticle-
dc.identifier.emailAcharya, A: aneesha@hku.hk-
dc.identifier.emailMattheos, N: mattheos@hku.hk-
dc.identifier.authorityMattheos, N=rp01662-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.7717/peerj.7124-
dc.identifier.pmid31275749-
dc.identifier.pmcidPMC6590641-
dc.identifier.scopuseid_2-s2.0-85074170520-
dc.identifier.hkuros307568-
dc.identifier.volume7-
dc.identifier.spagearticle no. e7124-
dc.identifier.epagearticle no. e7124-
dc.publisher.placeUnited States-

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