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Query: UMLS:C0031099 (periodontitis)
 12,489 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

In view of the important role of fibroblast-type collagenase in the pathogenesis of periodontal disease (PD), we investigated the expression of this metalloproteinase in primary cultures of non-stimulated fibroblasts dissected from gingival tissues of patients with generalized moderate and localized severe chronic adult PD. Enhanced hybridization signals for collagenase RNA were observed in 8/8 PD-cases when compared with equivalent RNA amounts extracted from normal fibroblasts. Since both the proto-oncogene c-fos and the "early growth response" gene egr-1 might be involved in the transcriptional regulation of the collagenase gene expression in vivo, we also compared the relative expression of both potential transcriptional factors with collagenase RNA in the same fibroblast cytoplasmic extracts. Hybridization signals indicated elevated RNA amounts for c-fos in 8/8 PD-cases and for egr-1 in 7/8 PD-cases when compared with the cells from non-inflamed tissue. In periodontitis gingival tissue specimens, immunolocalization of collagenase could be confirmed in fibroblasts, macrophages and epithelial cells in situ. Collagenase label was not widely distributed within the tissues, but concentrated at the interface between epithelium and connective tissue. The data provide the first evidence that gingival fibroblasts producing elevated levels of collagenase RNA amounts express also c-fos and egr-1 indicating a crucial role for both genes in cellular proliferation and collagenase expression in gingival and periodontal tissue destruction in vivo.
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PMID:Expression of collagenase and potential transcriptional factors c-fos and egr-1 in periodontal gingival fibroblasts. 138 1

Periodontitis, a formidable global health burden, is a common chronic disease that destroys tooth-supporting tissues. Biomarkers of the early phase of this progressive disease are of utmost importance for global health. In this context, saliva represents a non-invasive biosample. By using systems biology tools, we aimed to (1) identify an integrated interactome between matrix metalloproteinase (MMP)-REDOX/nitric oxide (NO) and apoptosis upstream pathways of periodontal inflammation, and (2) characterize the attendant topological network properties to uncover putative biomarkers to be tested in saliva from patients with periodontitis. Hence, we first generated a protein-protein network model of interactions ("BIOMARK" interactome) by using the STRING 10 database, a search tool for the retrieval of interacting genes/proteins, with "Experiments" and "Databases" as input options and a confidence score of 0.400. Second, we determined the centrality values (closeness, stress, degree or connectivity, and betweenness) for the "BIOMARK" members by using the Cytoscape software. We found Ubiquitin C (UBC), Jun proto-oncogene (JUN), and matrix metalloproteinase-14 (MMP14) as the most central hub- and non-hub-bottlenecks among the 211 genes/proteins of the whole interactome. We conclude that UBC, JUN, and MMP14 are likely an optimal candidate group of host-derived biomarkers, in combination with oral pathogenic bacteria-derived proteins, for detecting periodontitis at its early phase by using salivary samples from patients. These findings therefore have broader relevance for systems medicine in global health as well.
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PMID:A Systems Biology Approach to Reveal Putative Host-Derived Biomarkers of Periodontitis by Network Topology Characterization of MMP-REDOX/NO and Apoptosis Integrated Pathways. 2679 22