Shared Molecular Mechanisms between Atherosclerosis and Periodontitis by Analyzing the Transcriptomic Alterations of Peripheral Blood Monocytes

Comput Math Methods Med. 2021 Dec 3:2021:1498431. doi: 10.1155/2021/1498431. eCollection 2021.

Abstract

Objective: This study investigated the nature of shared transcriptomic alterations in PBMs from periodontitis and atherosclerosis to unravel molecular mechanisms underpinning their association.

Methods: Gene expression data from PBMs from patients with periodontitis and those with atherosclerosis were each downloaded from the GEO database. Differentially expressed genes (DEGs) in periodontitis and atherosclerosis were identified through differential gene expression analysis. The disease-related known genes related to periodontitis and atherosclerosis each were downloaded from the DisGeNET database. A Venn diagram was constructed to identify crosstalk genes from four categories: DEGs expressed in periodontitis, periodontitis-related known genes, DEGs expressed in atherosclerosis, and atherosclerosis-related known genes. A weighted gene coexpression network analysis (WGCNA) was performed to identify significant coexpression modules, and then, coexpressed gene interaction networks belonging to each significant module were constructed to identify the core crosstalk genes.

Results: Functional enrichment analysis of significant modules obtained by WGCNA analysis showed that several pathways might play the critical crosstalk role in linking both diseases, including bacterial invasion of epithelial cells, platelet activation, and Mitogen-Activated Protein Kinases (MAPK) signaling. By constructing the gene interaction network of significant modules, the core crosstalk genes in each module were identified and included: for GSE23746 dataset, RASGRP2 in the blue module and VAMP7 and SNX3 in the green module, as well as HMGB1 and SUMO1 in the turquoise module were identified; for GSE61490 dataset, SEC61G, PSMB2, SELPLG, and FIBP in the turquoise module were identified.

Conclusion: Exploration of available transcriptomic datasets revealed core crosstalk genes (RASGRP2, VAMP7, SNX3, HMGB1, SUMO1, SEC61G, PSMB2, SELPLG, and FIBP) and significant pathways (bacterial invasion of epithelial cells, platelet activation, and MAPK signaling) as top candidate molecular linkage mechanisms between atherosclerosis and periodontitis.

Publication types

  • Retracted Publication

MeSH terms

  • Atherosclerosis / blood
  • Atherosclerosis / etiology
  • Atherosclerosis / genetics*
  • Carrier Proteins / genetics
  • Computational Biology
  • Databases, Genetic
  • Gene Expression Profiling
  • Gene Regulatory Networks
  • Genetic Markers
  • Guanine Nucleotide Exchange Factors / genetics
  • HMGB1 Protein / genetics
  • Humans
  • Membrane Glycoproteins / genetics
  • Membrane Proteins / genetics
  • Monocytes / metabolism
  • Periodontitis / blood
  • Periodontitis / etiology
  • Periodontitis / genetics*
  • Proteasome Endopeptidase Complex / genetics
  • Protein Interaction Maps / genetics
  • R-SNARE Proteins / genetics
  • SEC Translocation Channels / genetics
  • SUMO-1 Protein / genetics
  • Signal Transduction / genetics
  • Transcriptome*

Substances

  • Carrier Proteins
  • FIBP protein, human
  • Genetic Markers
  • Guanine Nucleotide Exchange Factors
  • HMGB1 Protein
  • HMGB1 protein, human
  • Membrane Glycoproteins
  • Membrane Proteins
  • P-selectin ligand protein
  • R-SNARE Proteins
  • RASGRP2 protein, human
  • SEC Translocation Channels
  • SEC61G protein, human
  • SUMO-1 Protein
  • SUMO1 protein, human
  • VAMP7 protein, human
  • PSMB2 protein, human
  • Proteasome Endopeptidase Complex