{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T22:06:38Z","timestamp":1782770798313,"version":"3.54.5"},"reference-count":46,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Periodontal Research"],"published-print":{"date-parts":[[2023,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and Objectives<\/jats:title><jats:p>Parkinson's disease (PD) and chronic periodontitis (CP) are both inflammatory diseases; a correlation between the two diseases has been reported, but the underlying mechanisms of this association have not been investigated. We investigated the common molecular mechanisms between PD and CP and the role of immune cells in the pathogenesis of them using bioinformatics analyses to elucidate the association between the two diseases.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We obtained gene expression data from the Gene Expression Omnibus (GEO) database: GSE10334, GSE16134, and GSE23586 for CP gingival samples and GSE20146 for PD brain samples. Subsequently, we conducted an enrichment analysis of the differentially expressed genes (DEGs) using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses. Moreover, all DEGs were analysed for protein\u2013transcription factor interactions and protein\u2013immune cell co\u2010expression. We constructed protein\u2013transcription factor, protein\u2013protein interaction (PPI), and protein\u2013immune cell co\u2010expression networks using the Cytoscape software. Moreover, we identified the hub genes and investigated them for potential diagnostic value.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results and Conclusion<\/jats:title><jats:p>We identified 99 DEGs in the three CP datasets, 520 DEGs in the PD dataset and found five common DEGs in the CP and PD datasets, namely <jats:italic>CXCR4<\/jats:italic>, <jats:italic>CXCL8<\/jats:italic>, <jats:italic>CD19<\/jats:italic>, <jats:italic>RPTN<\/jats:italic>, and <jats:italic>SLC16A9<\/jats:italic>. These common DEGs identified in our study may have a potential impact on disease pathogenesis through the involvement of CXCR4\u2010CXCL8\u2010CD19 protein\u2010complexes in dendritic cells. Therefore, CD19, LCP2, CXCR4, and LYN could be used as target molecules for the clinical diagnosis of both diseases.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jre.13177","type":"journal-article","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T08:58:30Z","timestamp":1693817910000},"page":"1212-1222","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Elucidation of common molecular diagnostic biomarkers between chronic periodontitis and Parkinson's disease via bioinformatics analyses"],"prefix":"10.1111","volume":"58","author":[{"given":"Wen","family":"Zehui","sequence":"first","affiliation":[{"name":"Key Lab. of Oral Diseases Research of Anhui Province, Stomatological Hospital and College Anhui Medical University  Hefei China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhao","family":"Mengting","sequence":"additional","affiliation":[{"name":"Key Lab. of Oral Diseases Research of Anhui 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