A Bioinformatics Systems Biology Analysis of the Current Oral Proteomic Biomarkers and Implications for Diagnosis and Treatment of External Root Resorption

Int J Mol Sci. 2021 Mar 20;22(6):3181. doi: 10.3390/ijms22063181.

Abstract

External root resorption (ERR) is a silent destructive phenomenon detrimental to dental health. ERR may have multiple etiologies such as infection, inflammation, traumatic injuries, pressure, mechanical stimulations, neoplastic conditions, systemic disorders, or idiopathic causes. Often, if undiagnosed and untreated, ERR can lead to the loss of the tooth or multiple teeth. Traditionally, clinicians have relied on radiographs and cone beam computed tomography (CBCT) images for the diagnosis of ERR; however, these techniques are not often precise or definitive and may require exposure of patients to more ionizing radiation than necessary. To overcome these shortcomings, there is an immense need to develop non-invasive approaches such as biomarker screening methods for rapid and precise diagnosis for ERR. In this review, we performed a literature survey for potential salivary or gingival crevicular fluid (GCF) proteomic biomarkers associated with ERR and analyzed the potential pathways leading to ERR. To the best of our knowledge, this is the first proteomics biomarker survey that connects ERR to body biofluids which represents a novel approach to diagnose and even monitor treatment progress for ERR.

Keywords: dental trauma and biomarkers; dentin matrix acidic phosphoprotein 1; dentin phosphoproteins; dentin sialophosphoprotein; dentin sialoprotein; external root resorption; invasive cervical resorption.

Publication types

  • Review

MeSH terms

  • Biomarkers*
  • Computational Biology / methods*
  • Disease Management
  • Disease Susceptibility
  • Gingival Crevicular Fluid / metabolism
  • Humans
  • Proteomics* / methods
  • Radiography
  • Root Resorption / diagnosis*
  • Root Resorption / etiology
  • Root Resorption / therapy*
  • Signal Transduction
  • Systems Biology / methods*

Substances

  • Biomarkers