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pmid:36212719
Identification of Key Gene Targets for Periodontitis Treatment by Bioinformatics Analysis.
Ying Jin · Ye Wang · Xiaoping Lin
BioMed research international · 2022 doi:10.1155/2022/7992981
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Experiment
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Complete file
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Periodontal basic therapy is the cornerstone of periodontal disease treatment and long-term maintenance and has a positive impact on the treatment of systemic diseases.\nAim: To explore the potential gene targets of periodontitis therapies by bioinformatics method.\nMethods: We analyzed the expression database (GSE6751) downloaded from the Gene Expression Omnibus (GEO) with weighted gene coexpression network analysis (WGCNA) to confirm the functional gene modules. Pathway enrichment network analyses the key genes in functional modules and verified the candidate genes from the samples in peripheral blood sources of GSE43525. Moreover, we confirmed the expression of target protein in the periodontal tissues of experimental periodontitis-afflicted mice using western blotting.\nResults: The functional gene modules were found to have biological processes, and ARRB2, BIRC3, CD14, DYNLL1, FCER1G, FCGR1A, FCGR2B, FGR, HCK, and PRKCD were screened as candidates' genes in functional modules. The 921 DEG from GSE43525 and 418 DEG is from the green module of GSE6751 and identified AMICA1, KDELR1, DHRS7B, LMNB1, CTSA, S100A12, and FCGR1A as target genes. Finally, FCGR1A (CD64) was confirmed as the key gene that affects periodontal treatment. Western blot analysis showed an increasing trend in the expression level of FCGR1A protein in the periodontal tissues of experimental periodontitis mice compared to normal mice.\nConclusions: FCGR1A (CD64) may be a key gene target for periodontal therapy in patients with periodontitis and other systemic diseases.", "claims": [{"id": "claim-method", "statement": "We analyzed the expression database (GSE6751) downloaded from the Gene Expression Omnibus (GEO) with weighted gene coexpression network analysis (WGCNA) to confirm the functional gene modules.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36212719", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "We analyzed the expression database (GSE6751) downloaded from the Gene Expression Omnibus (GEO) with weighted gene coexpression network analysis (WGCNA) to confirm the functional gene modules."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data included in this study are available upon request by contact with the corresponding author.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36212719", "locator": "sections[19] \"Data Availability\" paragraph 2", "quote": "All data included in this study are available upon request by contact with the corresponding author."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The green WGCNA module had the highest negative correlation with disease status (r = −0.35, P = 0.007), and FCGR1A was identified as a key gene associated with periodontitis.", "kind": "quantitative", "target": {"value": 0.32, "unit": "correlation coefficient", "tolerance": null, "source": "The results showed that the green module (MEgreen) had the highest negative correlation with disease status (r = −0.35, P = 0.007), whereas the red module (MEred) was positively correlated with the prognosis of periodontitis treatment (r = 0.32, P = 0.01) (Figure 3(a))."}, "evidence": [{"asset": "source:pmid:36212719", "locator": "sections[11] \"3.3. Screening of Core Gene Module\" paragraph 2", "quote": "The results showed that the green module (MEgreen) had the highest negative correlation with disease status (r = −0.35, P = 0.007), whereas the red module (MEred) was positively correlated with the prognosis of periodontitis treatment (r = 0.32, P = 0.01) (Figure 3(a))."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The green WGCNA module had the highest negative correlation with disease status (r = −0.35, P = 0.007), and FCGR1A was identified as a key gene associated with periodontitis.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:36212719"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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