ECE YETİS, AYSEN YARAT, ONUR EROGLU, HAFİZE OZTURK OZENER, LEYLA KURU
Clinical and Experimental Health Sciences - 2022;12(4):1013-1024
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 (NIGO) participated in the study. Periodontal clinical parameters were recorded. Gingival tissue samples were harvested from overgrown (GO+ Group, n=7) and non-overgrown regions (GO- Group, n=7) of the same patients. Proteomics was performed using Liquid Chromatography-Tandem Mass Spectrometry (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 (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 (p<0.05) whereas remaining 64 were found higher in the GO- group (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.
