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VOLUME 14 , ISSUE 10 ( October, 2023 ) > List of Articles

ORIGINAL RESEARCH

MicroRNA-221-5p, MicroRNA-222-5p, and MicroRNA-223-5p Expression Patterns in Association with the Pathogenesis of Periodontal Disease: A Case–Control Analysis

Dhathri P Bandi, Snophia R Rajamani, Harinath Parthasarathy, Balasubramanian Krishnaswamy

Keywords : Microribonucleic acid, Microribonucleic acid-221/222, Microribonucleic acid-223, Periodontitis, Saliva

Citation Information : Bandi DP, Rajamani SR, Parthasarathy H, Krishnaswamy B. MicroRNA-221-5p, MicroRNA-222-5p, and MicroRNA-223-5p Expression Patterns in Association with the Pathogenesis of Periodontal Disease: A Case–Control Analysis. World J Dent 2023; 14 (10):838-843.

DOI: 10.5005/jp-journals-10015-2310

License: CC BY-NC 4.0

Published Online: 07-11-2023

Copyright Statement:  Copyright © 2023; The Author(s).


Abstract

Aim: To evaluate and compare the expression pattern of microribonucleic acid [micro-RNA (miR)]-221, 222, and 223 in the saliva of patients with periodontal disease and to determine the potential diagnostic marker for periodontitis. Materials and methods: For the present study, 25 healthy and 25 patients with periodontal disease were involved. Demographic and clinical parameters were recorded. Unstimulated whole saliva was collected from all the individuals. From the saliva samples, miR was isolated with a miRNeasy isolation advanced kit. Real-time polymerase chain reaction was used to quantify miR-221, 222, and 223 and to analyze the expression levels. Target gene prediction for the miRs was performed with miRTargetLink 2.0 bioinformatic online tool. The data obtained was statistically analyzed. Results: The expression analysis revealed that miR-221-5p, miR-222-5p, and miR-223-5p were upregulated by 5.71, 3.05, and 19.84 fold in periodontal disease patients with the p-value of <0.01. Compared to the other miRs, miR-223 was positively and significantly correlated with the probing pocket depth (PPD) and clinical attachment level. With a diagnostic accuracy of 86% and an area under the curve (AUC) of 0.859, miR-223-5p exhibited high sensitivity and specificity to distinguish periodontitis patients from healthy individuals with a p-value of <0.01. Conclusion: The findings of the present study demonstrate that miR-223-5p may be associated with the pathogenesis of periodontal disease. It could serve as a diagnostic marker and potentially predict the onset and severity of periodontitis. Clinical significance: Biomarkers that indicate early diagnosis must be identified to reduce the incidence of periodontal disease, as miRs can target multiple genes and influence various regulatory networks, making them highly promising molecules that can serve as diagnostic markers and dynamic miR-based therapeutic agents for the management of periodontal disease.

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