Derivation and growth characteristics of dental pulp stem cells from patients of different ages

Mol Med Rep. 2015 Oct;12(4):5127-34. doi: 10.3892/mmr.2015.4106. Epub 2015 Jul 21.

Abstract

The dental pulp contains a relatively low number of stem cells; however, it is considered to be a promising source of stem cells for use in regenerative therapy. To date, it has remained elusive whether there are certain differences in the dental pulp stem cells (DPSCs) from donors of different ages. In the present study, DPSC lines were derived using teeth from children, adolescents, adults and aged donors. The derivation efficiency, the proliferative and apoptotic rate, cell marker expression and the differentiation capacity were investigated and compared among these DPSC lines. The derivation efficacy was decreased with increasing donor age. Although a large part of cell surface markers was expressed in all DPSC lines, the expression of CD29 was downregulated in the DPSCs from aged teeth. In addition, the doubling time of DPSCs from aged teeth was prolonged and the number of apoptotic cells was increased with the propagation. These DPSCs were able to differentiate into a neuronal linage, which positively expressed the neuron-specific class III beta-tubulin and microtubule‑associated protein 2, as well as into an osteogenic lineage, which positively expressed CD45; however, these DPSCs from aged teeth were completely or partially deprived of differentiation capacity. By contrast, DPSCs from younger teeth displayed significantly higher vitality and a higher potential for use in dental regenerative medicine.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Antigens, Surface / metabolism
  • Biomarkers
  • Cell Differentiation
  • Cell Line
  • Cell Proliferation
  • Child
  • Child, Preschool
  • Dental Pulp / cytology*
  • Humans
  • Immunophenotyping
  • Karyotype
  • Male
  • Middle Aged
  • Osteogenesis
  • Stem Cells / cytology*
  • Stem Cells / physiology*
  • Young Adult

Substances

  • Antigens, Surface
  • Biomarkers