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牙釉质年龄相关变化的表面及结构研究:一种动物模型

Surface and Structural Studies of Age-Related Changes in Dental Enamel: An Animal Model.

作者信息

Świetlicka Izabela, Tomaszewska Ewa, Muszyński Siemowit, Świetlicki Michał, Skrzypek Tomasz, Grudziński Wojciech, Gruszecki Wiesław I, Kamiński Daniel, Hułas-Stasiak Monika, Arczewska Marta

机构信息

Department of Biophysics, Faculty of Environmental Biology, University of Life Sciences, Akademicka 13, 20-033 Lublin, Poland.

Department of Animal Physiology, Faculty of Veterinary Medicine, University of Life Sciences, Akademicka 12, 20-033 Lublin, Poland.

出版信息

Materials (Basel). 2022 Jun 3;15(11):3993. doi: 10.3390/ma15113993.

DOI:10.3390/ma15113993
PMID:35683290
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9182525/
Abstract

In the animal kingdom, continuously erupting incisors provided an attractive model for studying the enamel matrix and mineral composition of teeth during development. Enamel, the hardest mineral tissue in the vertebrates, is a tissue sensitive to external conditions, reflecting various disturbances in its structure. The developing dental enamel was monitored in a series of incisor samples extending the first four weeks of postnatal life in the spiny mouse. The age-dependent changes in enamel surface morphology in the micrometre and nanometre-scale and a qualitative assessment of its mechanical features were examined by applying scanning electron microscopy (SEM) and atomic force microscopy (AFM). At the same time, structural studies using XRD and vibrational spectroscopy made it possible to assess crystallinity and carbonate content in enamel mineral composition. Finally, a model for predicting the maturation based on chemical composition and structural factors was constructed using artificial neural networks (ANNs). The research presented here can extend the existing knowledge by proposing a pattern of enamel development that could be used as a comparative material in environmental, nutritional, and pharmaceutical research.

摘要

在动物王国中,不断生长的门齿为研究牙齿发育过程中牙釉质基质和矿物质组成提供了一个有吸引力的模型。牙釉质是脊椎动物中最坚硬的矿物质组织,是一种对外部条件敏感的组织,反映了其结构中的各种干扰。在一系列切牙样本中监测了刺毛鼠出生后前四周的牙釉质发育情况。通过应用扫描电子显微镜(SEM)和原子力显微镜(AFM),研究了微米和纳米尺度下牙釉质表面形态随年龄的变化,并对其力学特征进行了定性评估。同时,利用X射线衍射(XRD)和振动光谱进行的结构研究能够评估牙釉质矿物质组成中的结晶度和碳酸盐含量。最后,使用人工神经网络(ANNs)构建了一个基于化学成分和结构因素预测成熟度的模型。本文提出的研究可以通过提出一种牙釉质发育模式来扩展现有知识,这种模式可作为环境、营养和药物研究中的比较材料。

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2
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Materials (Basel). 2021 Sep 14;14(18):5278. doi: 10.3390/ma14185278.
3
Modeling transcriptomic age using knowledge-primed artificial neural networks.
Sci Rep. 2022 Sep 22;12(1):15823. doi: 10.1038/s41598-022-19583-w.
使用知识引导的人工神经网络对转录组年龄进行建模。
NPJ Aging Mech Dis. 2021 Jun 1;7(1):15. doi: 10.1038/s41514-021-00068-5.
4
Feature Selection and Classification of Clinical Datasets Using Bioinspired Algorithms and Super Learner.基于生物启发算法和超级学习者的临床数据集特征选择与分类。
Comput Math Methods Med. 2021 May 17;2021:6662420. doi: 10.1155/2021/6662420. eCollection 2021.
5
Artificial neural network, predictor variables and sensitivity threshold for DNA methylation-based age prediction using blood samples.基于血液样本的 DNA 甲基化年龄预测的人工神经网络、预测变量和灵敏度阈值。
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6
Age-group determination of living individuals using first molar images based on artificial intelligence.利用人工智能基于第一磨牙图像对活体个体进行年龄组判断。
Sci Rep. 2021 Jan 13;11(1):1073. doi: 10.1038/s41598-020-80182-8.
7
Atomic force microscopy studies of enamel, inner enamel, dentin, and cementum in canine teeth.犬齿中牙釉质、内层牙釉质、牙本质和牙骨质的原子力显微镜研究。
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8
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9
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