Proteomic Analysis in Nifedipine Induced Gingival Overgrowth: A Pilot Study

Authors : Ece YETİŞ, Ayşen YARAT, Onur EROĞLU, Hafize ÖZTÜRK ÖZENER, Leyla KURU

Pages : 1013-1024

Doi:10.33808/clinexphealthsci.1050418

View : 20 | Download : 12

Publication Date : 2022-12-30

Article Type : Research Paper

Abstract :Objective: The aims of the present study were to investigate the proteomic profile of nifedipine induced overgrown gingiva and compare with non-overgrown gingival tissues obtained from the same patients. Methods: Seven subjects under nifedipine medication for at least 6 months and diagnosed as nifedipine induced gingival overgrowth insert ignore into journalissuearticles values(NIGO); participated in the study. Periodontal clinical parameters were recorded. Gingival tissue samples were harvested from overgrown insert ignore into journalissuearticles values(GO+ Group, n=7); and non-overgrown regions insert ignore into journalissuearticles values(GO- Group, n=7); of the same patients. Proteomics was performed using Liquid Chromatography-Tandem Mass Spectrometry insert ignore into journalissuearticles values(LC-MS/MS); technique. The identified proteins were further classified according to their molecular functions, biological processes and cellular component distribution for functional gene ontology analysis using a web-based bioinformatics tool. Mann Whitney-U and ANOVA tests were performed to compare clinical parameters and identified proteins with proteomics, respectively. Results: Bleeding on probing and gingival overgrowth index of the GO+ group were statistically significantly higher than the GO- group insert ignore into journalissuearticles values(p<0.05, p<0.01, respectively);. A total of 143 proteins were identified in 14 gingival tissue samples using proteomics. Among the proteins identified, 79 of them were detected in higher quantities in the GO+ group insert ignore into journalissuearticles values(p<0.05); whereas remaining 64 were found higher in the GO- group insert ignore into journalissuearticles values(p<0.05);. The analysis of functional gene ontology demonstrated that certain proteins exhibit roles in either stimulatory or inhibitory processes including cell proliferation, growth and apoptosis. Conclusion: The proteomic profiles of overgrown and non-overgrown gingiva suggest that the identified proteins expressed at different levels in both groups may contribute to the pathogenesis and progression of NIGO.
Keywords : gingival overgrowth, nifedipine, proteomics