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Submitted: 12 Jan 2023
Revision: 25 Jan 2023
Accepted: 01 Feb 2023
ePublished: 18 Mar 2023
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Avicenna J Med Biochem. 2023;11(1): 19-32.
doi: 10.34172/ajmb.2023.2408
  Abstract View: 334
  PDF Download: 247

Original Article

Biochemical Pathway and Protein-Network Analysis of Dental Caries Based on Systems Biology Approaches

Zeinab Mohamadi 1 ORCID logo, Zahra Khamverdi 1, Amir Taherkhani 2* ORCID logo

1 Department of Operative Dentistry, Dental School, Dental Research Center, Hamadan University of Medical Sciences, Hamadan, Iran
2 Research Center for Molecular Medicine, Hamadan University of Medical Sciences, Hamadan, Iran
*Corresponding Author: Amir Taherkhani, Email: amir.007.taherkhani@gmail.com

Abstract

Background: Tooth decay (TD) is a multifactorial disorder, and several factors are involved in its etiology.

Objective: The present study aimed to unravel the main genes and molecular mechanisms underlying TD.

Methods: The dataset GSE1629 in the Gene Expression Omnibus (GEO) database was analyzed to uncover differentially expressed genes (DEGs) in patients with TD compared to patients with sound teeth. A protein-protein interaction network was built, and the most important clusters, hub genes, transcription factors (TFs), and protein kinases involved in the regulation of TFs were disclosed. Signaling pathways and Gene Ontology terms dysregulated in TD were also identified.

Results: A total of 196 DEGs were determined (false discovery rate<0.001; |Log2 fold change|>1). PTPRC, ITGB2, TYROBP, MMP9, CXCL8, CD44, CCL2, C1QB, C3, and SPP1 were considered hub genes. Further, BPTF and MAPK1 were demonstrated to be the highest TFs and protein kinases likely involved in the pathogenesis of TD, respectively.

Conclusion: PTPRC, ITGB2, TYROBP, MMP9, CXCL8, CD44, CCL2, C1QB, C3, SPP1, BPTF, and MAPK1 may be regarded as potential markers for the therapeutic purposes of TD.


Please cite this article as follows: Mohamadi Z, Khamverdi Z, Taherkhani A. Biochemical pathway and protein-network analysis of dental caries based on systems biology approaches. Avicenna J Med Biochem. 2023; 11(1):19-32. doi:10.34172/ajmb.2023.2408
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Abstract View: 335

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PDF Download: 247

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