Alice Spitz1, Ilana Oliveira Christovam2, Guido Artemio Marañón-Vásquez3, Daniele Ferreira Masterson4, Daniel Adesse5, Lucianne Cople Maia6, Ana Maria Bolognese7. 1. Department of Pediatric Dentistry and Orthodontics, School of Dentistry, Federal University of Rio de Janeiro, Rua. Prof. Rodolpho Paulo Rocco, 325 - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-617, Brazil. Electronic address: alicespitz1@gmail.com. 2. Department of Pediatric Dentistry and Orthodontics, School of Dentistry, Federal University of Rio de Janeiro, Rua. Prof. Rodolpho Paulo Rocco, 325 - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-617, Brazil. Electronic address: ilana.christovam@gmail.com. 3. Department of Pediatric Dentistry and Orthodontics, School of Dentistry, Federal University of Rio de Janeiro, Rua. Prof. Rodolpho Paulo Rocco, 325 - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-617, Brazil. Electronic address: guido_amv@hotmail.com. 4. Central Library of the Health Science Center, Federal University of Rio de Janeiro, Brazil Avenida Carlos Chagas Filho, Bl L, 373 - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-90, Brazil. Electronic address: danimasterson@yahoo.com.br. 5. Laboratory of Structural Biology, Instituto Oswaldo Cruz, Fiocruz, Av. Brasil, 4365 - Manguinhos, Rio de Janeiro, RJ, 21040-900, Brazil. Electronic address: adesse@ioc.fiocruz.br. 6. Department of Pediatric Dentistry and Orthodontics, School of Dentistry, Federal University of Rio de Janeiro, Rua. Prof. Rodolpho Paulo Rocco, 325 - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-617, Brazil. Electronic address: rorefa@terra.com.br. 7. Department of Pediatric Dentistry and Orthodontics, School of Dentistry, Federal University of Rio de Janeiro, Rua. Prof. Rodolpho Paulo Rocco, 325 - Cidade Universitária da Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21941-617, Brazil. Electronic address: anabolognes@yahoo.com.br.
Abstract
OBJECTIVE: To evaluate the evidence reporting gene expression array data of human in vitro cultured periodontal ligament cells (PDLCs) submitted to static mechanical loading compared to a control group. DESIGN: Systematic searches were performed in MEDLINE/PubMed, Scopus, Web of Science, Virtual Health Library, The Cochrane Library and the System for Information on Grey Literature in Europe up to June 2019. A narrative synthesis was performed to summarize differentially expressed genes (DEGs). These were grouped according to the culture method (2D or 3D), force type (compression or tension) and observation time. Additionally, gene ontology (GO) analysis was performed using the Database for Annotation Visualization and Integrated Discovery. The risk of bias (RoB) and certainty of evidence (CoE) were assessed using a modified CONSORT checklist and the GRADE tool, respectively. RESULTS: Of eight studies included (all rated as having moderate RoB), only two provided the complete list of DEGs and four studies performed GO, gene network or pathways analysis. "Cell proliferation", "cell-cell signaling", "response to hypoxia and to mechanical stimulus" were among the significantly enriched biological processes in 3D-cultured compressed PDLCs (moderate CoE); while "collagen catabolic process", "extracellular matrix organization" and "cell proliferation" were associated with DEGs of 3D-cultured PDLCs submitted to tension (very low CoE). Biological processes significantly enriched in 2D-cultured PDLCs under compression were "extracellular matrix organization", "canonical glycolysis" and "glycolytic process" (very low CoE). CONCLUSION: Genes such as NR4A2, NR4A3, NAMPT, PGK1, and REDD1 are suggested as novel biomarkers for orthodontic tooth movement. Limited amount of evidence on the complete gene expression profile and the high heterogeneity in methodologies make it impossible to obtain definite conclusions. New studies following standardized and well-designed in vitro model and reporting complete gene expression datasets are needed.
OBJECTIVE: To evaluate the evidence reporting gene expression array data of human in vitro cultured periodontal ligament cells (PDLCs) submitted to static mechanical loading compared to a control group. DESIGN: Systematic searches were performed in MEDLINE/PubMed, Scopus, Web of Science, Virtual Health Library, The Cochrane Library and the System for Information on Grey Literature in Europe up to June 2019. A narrative synthesis was performed to summarize differentially expressed genes (DEGs). These were grouped according to the culture method (2D or 3D), force type (compression or tension) and observation time. Additionally, gene ontology (GO) analysis was performed using the Database for Annotation Visualization and Integrated Discovery. The risk of bias (RoB) and certainty of evidence (CoE) were assessed using a modified CONSORT checklist and the GRADE tool, respectively. RESULTS: Of eight studies included (all rated as having moderate RoB), only two provided the complete list of DEGs and four studies performed GO, gene network or pathways analysis. "Cell proliferation", "cell-cell signaling", "response to hypoxia and to mechanical stimulus" were among the significantly enriched biological processes in 3D-cultured compressed PDLCs (moderate CoE); while "collagen catabolic process", "extracellular matrix organization" and "cell proliferation" were associated with DEGs of 3D-cultured PDLCs submitted to tension (very low CoE). Biological processes significantly enriched in 2D-cultured PDLCs under compression were "extracellular matrix organization", "canonical glycolysis" and "glycolytic process" (very low CoE). CONCLUSION: Genes such as NR4A2, NR4A3, NAMPT, PGK1, and REDD1 are suggested as novel biomarkers for orthodontic tooth movement. Limited amount of evidence on the complete gene expression profile and the high heterogeneity in methodologies make it impossible to obtain definite conclusions. New studies following standardized and well-designed in vitro model and reporting complete gene expression datasets are needed.
Authors: Christian Behm; Michael Nemec; Alice Blufstein; Maria Schubert; Xiaohui Rausch-Fan; Oleh Andrukhov; Erwin Jonke Journal: Int J Mol Sci Date: 2021-01-20 Impact factor: 5.923