Tranasi Michelangelo, Sberna Maria Teresa, Zizzari Vincenzo, D'Apolito Giuseppe, Mastrangelo Filiberto, Salini Luisa, Stuppia Liborio, Tetè Stefano
Department of Oral Science University "G. d'Annunzio," Chieti, Italy.
J Endod. 2009 Sep;35(9):1211-7. doi: 10.1016/j.joen.2009.05.026.
The dental pulp undergoes age-related changes that could be ascribed to physiological, defensive, or pathological irritant-induced changes. These changes are regulated by pulp cell activity and by a variety of extracellular matrix (ECM) macromolecules, playing important roles in growth regulation, tissue differentiation and organization, formation of calcified tissue, and defense mechanisms and reactions to inflammatory stimuli. The aim of this research was to better understand the genetic changes that underlie the histological modification of the dental pulp in aging.
The gene expression profile of the human dental pulp in young and older subjects was compared by RNA microarray analysis that allowed to simultaneously analyze the expression levels of thousands of genes. Data were statistically analyzed by Significance Analysis of Microarrays (SAM) Ingenuity Pathway Analysis (IPA) software. Semiquantitative and real-time reverse-transcriptase polymerase chain reaction analyses were performed to confirm the results.
Microarray analysis revealed several differentially expressed genes that were categorized in growth factors, transcription regulators, apoptosis regulators, and genes of the ECM. The comparison analysis showed a high expression level of the biological functions of cell and tissue differentiation, development, and proliferation and of the immune, lymphatic, and hematologic system in young dental pulp, whereas the pathway of apoptosis was highly expressed in older dental pulp.
Expression profile analyses of human dental pulp represent a sensible and useful tool for the study of mechanisms involved in differentiation, growth and aging of human dental pulp in physiological and pathological conditions.
牙髓会经历与年龄相关的变化,这些变化可归因于生理、防御或病理刺激引起的改变。这些变化由牙髓细胞活性和多种细胞外基质(ECM)大分子调节,在生长调控、组织分化与组织形成、钙化组织形成以及防御机制和对炎症刺激的反应中发挥重要作用。本研究的目的是更好地理解衰老过程中牙髓组织学改变背后的基因变化。
通过RNA微阵列分析比较年轻和老年受试者牙髓的基因表达谱,该分析可同时分析数千个基因的表达水平。数据通过微阵列显著性分析(SAM)和 Ingenuity 通路分析(IPA)软件进行统计分析。进行半定量和实时逆转录聚合酶链反应分析以证实结果。
微阵列分析揭示了几个差异表达基因,这些基因分为生长因子、转录调节因子、凋亡调节因子和ECM基因。比较分析表明,年轻牙髓中细胞和组织分化、发育、增殖以及免疫、淋巴和血液系统的生物学功能表达水平较高,而老年牙髓中凋亡途径高度表达。
人类牙髓的表达谱分析是研究生理和病理条件下人类牙髓分化、生长和衰老相关机制的一种合理且有用的工具。