Abstract

Background This bioinformatics study was aimed to investigate the relationship between periodontitis (PD) and Down Syndrome (DS) regarding potential crosstalk genes, related neuropeptides, and biological processes. Methods Data for PD (GSE23586, GSE10334 and GSE16134) and DS (GSE35665) were downloaded from NCBI Gene Expression Omnibus (GEO). Following normalization and merging of PD data, differential expression analysis was performed (p value < 0.05 and ∣log FC | ≥0.5). The common deregulated genes between PD and DS were considered as crosstalk genes. The significantly differentially expressed genes were used to construct the coexpression network and to further identify coexpression gene modules. To acquire the significant modules, the significant expression level of genes in the module was used to analyze the enrichment of genes in each module. Neuropeptides were assessed from NeuroPedia database. Neuropeptide genes and crosstalk genes were merged and mapped into PPI network, and the correlation coefficient (Spearman) was determined for the crosstalk genes. Results 138 crosstalk genes were predicted. According to the functional enrichment analysis, these genes significantly regulated different biological processes and pathways. In enrichment analysis, the significant module of DS was pink module, and turquoise module was significant in PD. Four common crosstalk genes were acquired, i.e., CD19, FCRL5, FCRLA, and HLA-DOB. In the complex network, INS and IGF2 interacted with CASP3 and TP53, which commonly regulated the MAPK signaling pathway. Moreover, the results showed that TP53 interacted with IGF2 and INS inducing the dysregulation of PI3K-Akt signaling pathway. UBL was positively correlated with crosstalk genes in both diseases. LEP was revealed to be both a neuropeptide and crosstalk gene and was positively correlated with other crosstalk genes. Conclusion Different crosstalk genes, related neuropeptides, and biological pathways and processes were revealed between PD and DS, which can serve as a theoretical basis for future research.

Highlights

  • This bioinformatics study was aimed to investigate the relationship between periodontitis (PD) and Down Syndrome (DS) regarding potential crosstalk genes, related neuropeptides, and biological processes

  • 72 common differentially expressed genes (DEG) between PD and DS were confirmed as the potential crosstalk genes (Figure 2(c))

  • With the “clusterProfiler” packages of R project, the results showed that the 72 common DEGs significantly regulated different biological and immunological pathways, e.g., antigen receptor-mediated signaling pathway and hematopoietic cell lineage (Figures 3(a) and 3(b))

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Summary

Introduction

This bioinformatics study was aimed to investigate the relationship between periodontitis (PD) and Down Syndrome (DS) regarding potential crosstalk genes, related neuropeptides, and biological processes. According to the functional enrichment analysis, these genes significantly regulated different biological processes and pathways. Different crosstalk genes, related neuropeptides, and biological pathways and processes were revealed between PD and DS, which can serve as a theoretical basis for future research. The altered microbiological composition of the oral cavity has been reported, whereby both, well-known potential periodontal pathogenic bacteria, e.g., Porphyromonas gingivalis or Fusobacterium nucleatum alongside with newly proposed taxa, e.g., Filifactor, Fretibacterium, or Desulfobulbus genera were found [5, 6] This has even been reported in children aged 3-7 years [7]. The effect of co-factors, e.g., obesity might have an additional effect on periodontal disease severity and progression [13]

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