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Glycosylation of dentin matrix protein 1 is critical for fracture healing via promoting chondrogenesis

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Frontiers of Medicine 2019年第5期13卷 575-589页

作者： Hui Xue dike tao Yuteng Weng Qiqi Fan Shuang Zhou Ruilin Zhang Han Zhang Rui Yue Xiaogang Wang Zuolin Wang Yao Sun Department of Implantology School & Hospital of StomatologyTongji UniversityShanghai Engineering Research Center of Tooth Restoration and RegenerationShanghai 200072China School & Hospital of Stomatology Tongji UniversityShanghai 200072China School of Life Sciences and Technology Tongji UniversityShanghai 200072China Beijing Advanced Innovation Center for Big Data- Based Precision Medicine Beihang UniversityBeijing 100083China

Fractures are frequently occurring diseases that endanger human health. Crucial to fracture healing is cartilage formation, which provides a bone-regeneration environment. Cartilage consists of both chondrocytes and extracellular matrix (ECM). The ECM of cartilage includes collagens and various types of proteoglycans (PGs), which play important roles in maintaining primary stability in fracture healing. The PG form of dentin matrix protein 1 (DMP1-PG) is involved in maintaining the health of articular cartilage and bone. Our previous data have shown that DMP1-PG is richly expressed in the cartilaginous calluses of fracture sites. However, the possible significant role of DMP1-PG in chondrogenesis and fracture healing is unknown. To further detect the potential role of DMP1-PG in fracture repair, we established a mouse fracture model by using a glycosylation site mutant DMP1 mouse (S89G-DMP1 mouse). Upon inspection, fewer cartilaginous calluses and down-regulated expression levels of chondrogenesis genes were observed in the fracture sites of S89G-DMP1 mice. Given the deficiency of DMP1-PG, the impaired IL-6/JAK/STAT signaling pathway was observed to affect the chondrogenesis of fracture healing. Overall, these results suggest that DMP1-PG is an indispensable proteoglycan in chondrogenesis during fracture healing.

关键词： fracture extracellular matrix dentin matrix protein 1 proteoglycan cartilage

Primary cilia support cartilage regeneration after injury

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International Journal of Oral Science 2023年第2期15卷 291-303页

作者： dike tao Lei Zhang Yunpeng Ding Na Tang Xiaoqiao Xu Gongchen Li Pingping Niu Rui Yue Xiaogang Wang Yidong Shen Yao Sun Department of Implantology School&Hospital of StomatologyTongji UniversityShanghaiChina Shanghai Engineering Research Center of Tooth Restoration and Regeneration ShanghaiChina State Key Laboratory of Cell Biology Shanghai Institute of Biochemistry and Cell BiologyCenter for Excellence in Molecular Cell ScienceChinese Academy of Sciences University of Chinese Academy of Sciences ShanghaiChina Department of Oral and Maxillofacial Surgery School&Hospital of StomatologyTongji UniversityShanghaiChina Institute for Regenerative Medicine Shanghai East HospitalFrontier Science Center for Stem Cell ResearchShanghai Key Laboratory of Signaling and Disease ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina Shanghai Institute of Stem Cell Research and Clinical Translation ShanghaiChin Key Laboratory of Big Data-Based Precision Medicine School of Engineering MedicineBeihang UniversityBeijingChina

In growing children,growth plate cartilage has limited self-repair ability upon fracture injury always leading to limb growth ***,one type of fracture injuries within the growth plate achieve amazing self-healing,however,the mechanism is *** this type of fracture mouse model,we discovered the activation of Hedgehog(Hh)signaling in the injured growth plate,which could activate chondrocytes in growth plate and promote cartilage repair.

关键词： fracture plate injuries

初级纤毛调节干细胞分化介导骨发育的研究进展

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口腔生物医学 2022年第4期13卷 255-260页

作者：张蕾陶狄坷孙瑶同济大学口腔医学院·同济大学附属口腔医院口腔种植科上海牙组织修复与再生工程技术研究中心上海200072

初级纤毛作为信号传感器,存在于大多数哺乳动物细胞表面,干细胞表面的初级纤毛通过感知化学、机械、生物等多种信号感在维持细胞干性、介导细胞谱系分化过程中发挥重要作用。初级纤毛结构或功能异常可导致纤毛病,导致颅颌面发育异常、... 详细信息

初级纤毛作为信号传感器,存在于大多数哺乳动物细胞表面,干细胞表面的初级纤毛通过感知化学、机械、生物等多种信号感在维持细胞干性、介导细胞谱系分化过程中发挥重要作用。初级纤毛结构或功能异常可导致纤毛病,导致颅颌面发育异常、长骨发育障碍等骨骼相关表型异常。本文旨在整合初级纤毛在骨骼系统发育相关干细胞领域内的相关研究工作,聚焦于初级纤毛对骨骼发育相关干细胞的精细调控作用,以期为干细胞治疗及组织工程再生提供一个新的潜在治疗靶点。

关键词：初级纤毛骨骼干细胞骨发育损伤修复信号传导

软骨膜中细胞初级纤毛消融对生长板发育的作用研究

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口腔生物医学 2022年第1期13卷 26-29,44页

作者：耿江予陶狄坷孙瑶同济大学口腔医学院·同济大学附属口腔医院口腔种植科上海牙组织修复与再生工程技术研究中心上海200072

目的:观察软骨膜中细胞初级纤毛消融对长骨生长板发育的影响。方法:雄性4周龄野生型小鼠20只,随机分为对照组和实验组,每组10只。实验组按照0.01 mL/g体质量于小鼠股骨生长板外局部注射10 mg/mL水合氯醛(CH),对照组于相同部位注射等量... 详细信息

目的:观察软骨膜中细胞初级纤毛消融对长骨生长板发育的影响。方法:雄性4周龄野生型小鼠20只,随机分为对照组和实验组,每组10只。实验组按照0.01 mL/g体质量于小鼠股骨生长板外局部注射10 mg/mL水合氯醛(CH),对照组于相同部位注射等量生理盐水,每2 d注射一次,连续注射4周后处死小鼠。Micro-CT扫描分析软骨下骨矿化情况;行组织学切片观测软骨膜细胞初级纤毛发生率及生长板细胞形态功能变化。结果:实验组小鼠软骨膜中初级纤毛减少,软骨下骨矿化降低;软骨膜中细胞初级纤毛发生受到CH抑制后,可导致股骨生长板软骨细胞排列和功能受损,生长板结构紊乱,生长板下骨小梁数量下降;免疫荧光染色显示实验组软骨膜中细胞初级纤毛发生率下降(P<0.001),且生长板软骨细胞Ⅱ型胶原蛋白分泌功能下降。结论:软骨膜中初级纤毛参与生长板软骨形成和骨骼发育。

关键词：软骨膜初级纤毛生长板发育

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初级纤毛调控软骨发育和力学感知的研究进展

口腔生物医学 2022年第1期13卷 58-62页

作者：陶狄坷张蕾耿江予孙瑶同济大学口腔医学院·同济大学附属口腔医院口腔种植科上海市牙组织修复与再生工程技术研究中心上海200072

初级纤毛作为信号传感器存在于大多数哺乳动物细胞表面,其结构和功能缺陷会导致一系列被称为纤毛病的人类多系统综合征。部分纤毛病患者表现出明显软骨发育不良,严重影响包括颅颌面部在内的骨骼系统发育,初级纤毛在软骨发育和稳态维持... 详细信息

初级纤毛作为信号传感器存在于大多数哺乳动物细胞表面,其结构和功能缺陷会导致一系列被称为纤毛病的人类多系统综合征。部分纤毛病患者表现出明显软骨发育不良,严重影响包括颅颌面部在内的骨骼系统发育,初级纤毛在软骨发育和稳态维持中具有重要作用。同时,初级纤毛的结构和功能与软骨细胞的机械感知密切相关。本文就初级纤毛在调控软骨细胞命运及机械转导中的作用进行综述。

关键词：初级纤毛生长板关节软骨颅面部发育机械传导

初级纤毛在长骨生长板分布规律的小鼠实验研究

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口腔颌面外科杂志 2021年第5期31卷 265-271页

作者：丁允鹏陶狄坷张帅孙瑶上海牙组织修复与再生工程技术研究中心同济大学口腔医学院同济大学附属口腔医院口腔种植科上海200072

目的 :探究长骨发育过程中初级纤毛在生长板的分布规律。方法 :对1、4周龄和8周龄的小鼠股骨切片进行免疫荧光染色,分析初级纤毛在生长板的分布规律;培养生长板软骨细胞并诱导其肥大化,研究该过程中初级纤毛的改变;通过无血清饥饿法提... 详细信息

目的 :探究长骨发育过程中初级纤毛在生长板的分布规律。方法 :对1、4周龄和8周龄的小鼠股骨切片进行免疫荧光染色,分析初级纤毛在生长板的分布规律;培养生长板软骨细胞并诱导其肥大化,研究该过程中初级纤毛的改变;通过无血清饥饿法提高有纤毛软骨细胞比例后诱导软骨细胞肥大化,通过实时荧光定量聚合酶链式反应(realtime quantitative polymerase chain reaction, RT-qPCR)和免疫荧光染色检测肥大软骨细胞标志物的表达。结果:1、4周龄小鼠的有纤毛软骨细胞主要分布在静息层、增殖层和前肥大层,肥大层有初级纤毛细胞显著减少;在体外诱导软骨细胞肥大化后,有纤毛细胞比例降低;提高有纤毛细胞比例后诱导软骨细胞肥大化,肥大软骨细胞标志性基因COL10、Prg4表达降低。结论 :初级纤毛主要分布在生长板静息层、增殖层和前肥大层,肥大层软骨细胞初级纤毛减少;通过无血清饥饿法提高有纤毛细胞比例能够降低肥大软骨细胞标志性基因的表达。

关键词：初级纤毛生长板软骨细胞

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Artificial intelligence aided design of film cooling scheme on turbine guide vane

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Propulsion and Power Research 2020年第4期9卷 344-354页

作者： dike Li Lu Qiu Kaihang tao Jianqin Zhu National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics School of Energy and Power EngineeringBeihang UniversityBeijing100191China

In recent years,artificial intelligence(AI)technologies have been widely applied in many different fields including in the design,maintenance,and control of *** air-cooled turbine vane is one of the most complex components in aero-engine ***,it is interesting to adopt the existing AI technologies in the design of the cooling *** that the application of AI relies on a large amount of data,the primary task of this paper is to realize massive simulation automation in order to generate data for machine *** includes the parameterized three-dimensional(3-D)geometrical modeling,automatic meshing and computational fluid dynamics(CFD)batch automatic simulation of different film cooling structures through customized developments of UG,ICEM and *** is demonstrated that the trained artificial neural network(ANN)can predict the cooling effectiveness on the external surface of the turbine *** results also show that the design of the ANN architecture and the hyper-parameters have an impact on the prediction precision of the trained *** this established method,a multi-output model is constructed based on which a simple tool can be *** is able to make an instantaneous prediction of the temperature distribution along the vane surface once the arrangements of the film holes are adjusted.

关键词： Film cooling Machine learning Fast prediction Massive simulation automation Turbine guide vane

Artificial neural network analysis of the Nusselt number and friction factor of hydrocarbon fuel under supercritical pressure

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Propulsion and Power Research 2022年第3期11卷 325-336页

作者： Kaihang tao Jianqin Zhu Zeyuan Cheng dike Li National Key Laboratory of Science and Technology on Aero-Engine Aero-thermodynamics School of Energy and Power EngineeringBeihang UniversityBeijing100191China

This paper presents the Nusselt number and friction factor model for hydrocarbon fuel under supercritical pressure in horizontal circular tubes using an artificial neural network(ANN)analysis on the basis of the back propagation *** derivation of the proposed model relies on a large number of experimental data obtained from the tests performed with the platform of supercritical flow and heat *** topology structures,training algo-rithms and transfer functions are employed in model *** performance of the optimal ANN model is evaluated with the mean relative error,the determination coefficient,the number of iterations and the convergence *** is demonstrated that the model has high prediction accuracy when the tansig transfer function,the Levenberg-Marquardt training algo-rithm and the three-layer topology of 4-9-1 are *** addition,the accuracy of the ANN model is observed to be the highest compared with other classic empirical *** relative error values of 4.4%and 3.4%have been achieved for modeling of the Nusselt number and friction factor respectively over the whole experimental data *** ANN model estab-lished in this paper is shown to have an excellent performance in learning ability and general-ization for characterizing the flow and heat transfer law of hydrocarbon fuel,which can provide an alternative approach for the future study of supercritical fluid characteristics and the associ-ated engineering applications.

关键词： Artificial neural network(ANN) Nusselt number Friction factor Supercritical pressure Hydrocarbon fuel

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基于迁移学习和物理约束的温度场重构方法

工程热物理学报 2023年第4期44卷 1088-1095页

作者：李地科刘忠信邱璐陶智朱剑琴北京航空航天大学能源与动力工程学院北京100191

通过少量离散的测点准确重构完整温度场可以方便快捷地大幅扩充测量数据,在航空航天等领域具有重要意义。本文以三维平板气膜冷却温度场重构问题为例,提出了一种基于迁移学习和物理约束(TL-PINN)的三维温度场重构方法。首先将导热方程... 详细信息

通过少量离散的测点准确重构完整温度场可以方便快捷地大幅扩充测量数据,在航空航天等领域具有重要意义。本文以三维平板气膜冷却温度场重构问题为例,提出了一种基于迁移学习和物理约束(TL-PINN)的三维温度场重构方法。首先将导热方程加入神经网络损失函数作为约束,并通过其他工况的丰富数据进行预训练,再迁移至目标域内,通过少量测点微调训练得到最终模型。基于数值仿真数据进行模型的训练和测试,结果显示,相比于常规前馈神经网络和物理约束神经网络,TL-PINN具有更低的温度场预测误差和更少的模型训练时间。并且考察了不同可训练层和源工况条件对最终模型温度预测能力的影响,发现仅训练部分隐藏层可节约训练时间,源工况条件对模型的影响较小。

关键词：温度场重构神经网络迁移学习物理约束