Literature DB >> 12002823

Effect of mechanical loading on periodontal cells.

D Pavlin1, J Gluhak-Heinrich.   

Abstract

Mechanical loading is an important regulatory factor in alveolar bone homeostasis, and plays an essential role in maintaining the structure and mass of the alveolar processes throughout lifetime. A better understanding of the cellular and molecular responses of periodontal cells is a prerequisite for further improvements of therapeutic approaches in orthodontics, periodontal and alveolar bone repair and regeneration, implantology, and post-surgical wound healing. The purpose of this review is to provide an insight into some cell culture and animal models used for studying the effects of mechanical loading on periodontal cells, and into the recent developments and utilization of new in vivo animal models. There has been an increased awareness about the need for improvement and development of in vivo models to supplement the widely used cell culture models, and for biological validation of in vitro results, especially in the light of evidence that developmental models may not always reflect bone homeostasis in an adult organism. Due to the limitations of in vivo models, previous studies on mechanical regulation of alveolar bone osteoblasts and cementoblasts mostly focused on proliferative responses, rather than on the stimulation of cell differentiation. To address this problem, we have recently characterized and implemented a mouse osteoinductive tooth movement model for studying mechanically induced regulation of osteoblast- and cementoblast-associated genes. In this model, a defined and reproducible mechanical osteogenic loading is applied during a time course of up to two weeks. Regulation of gene expression in either wild-type or transgenic animals is assessed by a relative quantitative measurement of the level of target mRNAs directly within the subpopulations of periodontal cells. To date, results demonstrate a defined temporal pattern of cell-specific gene regulation in periodontal osteoblasts mechanically stimulated to differentiate and deposit bone matrix. The responses of osteoblast-associated genes to mechanical loading were 10- to 20-fold greater than the increase in the numbers of these cells, indicating that the induction of differentiation and an increase of cell function are the primary responses to osteogenic loading. The progression of the osteoblast phenotype in the intact mouse periodontium was several-fold faster compared with that in cultured cells, suggesting that the mechanical signal may be targeting osteoblast precursors in the state of readiness to respond to an environmental challenge, without the initial proliferative response. An early response of alkaline phosphatase and bone sialoprotein genes was detected after 24 hrs of treatment, followed by a concomitant stimulation of osteocalcin and collagen I between 24 and 48 hrs, and deposition of osteoid after 72 hrs. Although cementoblasts constitutively express biochemical markers similar to those of osteoblasts, distinct responses of osteocalcin, collagen I, and bone sialoprotein genes to mechanical loading were observed in the two cell phenotypes. This finding indicates that differential genetic responses to mechanical loading provide functional markers for distinction of the cementoblast and osteoblast phenotypes.

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Year:  2001        PMID: 12002823     DOI: 10.1177/10454411010120050401

Source DB:  PubMed          Journal:  Crit Rev Oral Biol Med        ISSN: 1045-4411


  19 in total

1.  MEPE expression in osteocytes during orthodontic tooth movement.

Authors:  J Gluhak-Heinrich; D Pavlin; W Yang; M MacDougall; S E Harris
Journal:  Arch Oral Biol       Date:  2007-01-31       Impact factor: 2.633

Review 2.  Dental pulp stem cells and osteogenesis: an update.

Authors:  Ibrahim Mortada; Rola Mortada
Journal:  Cytotechnology       Date:  2018-06-25       Impact factor: 2.058

3.  The virtue of just enough stress: a molecular model.

Authors:  Nanette H Bishopric
Journal:  Trans Am Clin Climatol Assoc       Date:  2012

4.  Wnt5a mediated canonical Wnt signaling pathway activation in orthodontic tooth movement: possible role in the tension force-induced bone formation.

Authors:  Hai-Di Fu; Bei-Ke Wang; Zi-Qiu Wan; Heng Lin; Mao-Lin Chang; Guang-Li Han
Journal:  J Mol Histol       Date:  2016-07-25       Impact factor: 2.611

Review 5.  Modulation of microenvironment for controlling the fate of periodontal ligament cells: the role of Rho/ROCK signaling and cytoskeletal dynamics.

Authors:  Tadashi Yamamoto; Yuki Ugawa; Mari Kawamura; Keisuke Yamashiro; Shinsuke Kochi; Hidetaka Ideguchi; Shogo Takashiba
Journal:  J Cell Commun Signal       Date:  2017-10-30       Impact factor: 5.782

6.  Role of mechanical stress-induced glutamate signaling-associated molecules in cytodifferentiation of periodontal ligament cells.

Authors:  Chiharu Fujihara; Satoru Yamada; Nobuhiro Ozaki; Nobuo Takeshita; Harumi Kawaki; Teruko Takano-Yamamoto; Shinya Murakami
Journal:  J Biol Chem       Date:  2010-06-24       Impact factor: 5.157

Review 7.  Periodontal ligament entheses and their adaptive role in the context of dentoalveolar joint function.

Authors:  Jeremy D Lin; Andrew T Jang; Michael P Kurylo; Jonathan Hurng; Feifei Yang; Lynn Yang; Arvin Pal; Ling Chen; Sunita P Ho
Journal:  Dent Mater       Date:  2017-05-02       Impact factor: 5.304

8.  Hypoxia Pretreatment Promotes Chondrocyte Differentiation of Human Adipose-Derived Stem Cells via Vascular Endothelial Growth Factor.

Authors:  Ok Kyung Hwang; Young Woock Noh; Jin Tae Hong; Je-Wook Lee
Journal:  Tissue Eng Regen Med       Date:  2020-05-26       Impact factor: 4.169

9.  Response of cementoblast-like cells to mechanical tensile or compressive stress at physiological levels in vitro.

Authors:  Lan Huang; Yao Meng; Aishu Ren; Xianglong Han; Ding Bai; Lina Bao
Journal:  Mol Biol Rep       Date:  2008-10-11       Impact factor: 2.316

Review 10.  Bone Response of Loaded Periodontal Ligament.

Authors:  Eliane Hermes Dutra; Ravindra Nanda; Sumit Yadav
Journal:  Curr Osteoporos Rep       Date:  2016-12       Impact factor: 5.096

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