Title
Analysis of protein interaction network in obesity linked with periodontitis
Authors
Vinayagam Ramya1,*, Amaldas Julius2, Jagadeesan Bhuvaneswarri1, Padmanaban Preethi1, Farjana Nilofer1 & Fiona Angelin1
Affiliation
1Department of periodontology and implantology, Sree balaji Dental College and Hospital, Biher university, Chennai, India; 2Department of biochemistry, Sree balaji Dental College and Hospital, Biher university, Chennai, India; *Corresponding author
Vinayagam Ramya - E - mail: dr.ramya@yahoo.co.in; Phone: +91
8754487982
Amaldas Julius - E - mail: juliusamaldas@yahoo.co.in; Phone:
9840409612
Jagadeesan Bhuvaneswarri - E - mail: drbhuvana22@gmail.com; Phone:
9994044047
Padmanaban Preethi - E - mail: drpreethimds@gmail.com; Phone:
9884300217
Farjana Nilofer - E - mail: farjanajahangeer@gmail.com;
Phone: 9994022038
Fiona Angelin - E - mail: angelinsamuel20@gmail.com; Phone:
8778097892
Article Type
Research Article
Date
Received December 1, 2024; Revised December 31, 2024; Accepted December 31, 2024, Published December 31, 2024
Abstract
This study explores the clinical link between obesity and periodontitis by investigating the potential interaction among proteins. A protein-protein interaction (PPI) network analysis using STRING was conducted on novel proteins identified from saliva samples through quantitative proteomics and mass spectrometry. Twenty proteins were involved in molecular process, cellular components and biological functions focusing on proteins with variants closely associated with obesity and periodontitis. Analysis revealed that PPI network exhibited a high degree of interactions, indicating a biological connection with a significant p value 4.8*105. These PPIs discuss the interplay between obesity and periodontitis, require further experimental validation, unravel new clues for downstream studies, and propose biological mechanisms through which these two conditions may interact.
Keywords
Obesity, periodontitis, periodontal disease, protein-protein network interaction, gene ontology, bioinformatics
Citation
Ramya et al. Bioinformation 20(12): 1683-1688 (2024)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
