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Mechanoresponsive MiR-138-5p Targets MACF1 to Inhibit Bone Formation 被引量:1
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作者 Zhihao Chen Zhao Fan +14 位作者 Liang Chao Lifang Hu Chen Lei Zhang Yan Yin Chong Dijie Li Tian Ye Wuxia Qiu Kewen Zhang Chaofei Yang Xiaona Li Li Yu Weiyi Chen Zhang Ge Qian Airong 《医用生物力学》 EI CAS CSCD 北大核心 2019年第A01期72-73,共2页
Mechanical stimuli play an essential role in maintaining bone remodeling and skeletal integrity.Meanwhile,bone can respond to the changes of mechanical condition to adjust its mass and architecture.Clinical studies di... Mechanical stimuli play an essential role in maintaining bone remodeling and skeletal integrity.Meanwhile,bone can respond to the changes of mechanical condition to adjust its mass and architecture.Clinical studies discover that bedridden patients showed osteoporotic T-scores and low bone mineral density,and long-term immobilized patients presented reduced markers of bone formation.However,as bone formation mediated by osteoblast differentiation is a complex process,the underlying molecular mechanism of mechanical stimuli regulating bone formation is still unclear.Recent evidences show that microRNAs(miRNAs)are involved in mechanical stimuli regulating bone formation or osteoblast differentiation.Nevertheless,no direct evidence identifies mechanoresponsive miRNA in both human and animal bones,and clarifies its mechanoresponsive role under different mechanical conditions(e.g.mechanical unloading,reloading,loading).In the current study,we screened for differentially expressed miRNAs in bone specimens of bedridden patients with fractures,then identified that the expression of miR-138-5p,but not the other miRNAs,altered withbedridden time and was negatively correlated with the expression of the bone formation marker genes Alp(alkaline phosphatase).Moreover,miR-138-5p was up-regulated with reduced bone formation during unloading and down-regulated with increased bone formation during reloading in hind4imb unloaded mice.In addition,miR-138-5p was verified to be responsive to different mechanical unloading condition and cyclic mechanical stretch condition in primary osteogenic cells,respectively.Further in vitro data suggested that mechanoresponsive miR-138-5p directly targeted microtubule actin crosslinking factor 1(MACF1)to inhibit osteoblast differentiation.In vivo,we constructed an osteoblastic miR-138-5p transgenic mice model(TG138)with the Runx2promoter,and found that overexpression miR-138-5p supressed bone formation.Moreover,osteoblast-targeted inhibition of miR-138-5p sensitized bone anabolic response to mechanical loading in TG138 mice.Predominantly,the osteoblast-targeted inhibition of miR-138-5p could counteract bone formation reduction induced by hind limb unloading.Taken together,the mechanoresponsive miR-138-5p inhibited bone anabolic response for developing a novel bone anabolic sensitization strategy. 展开更多
关键词 mechanoresponse miR-138-5p MACF1 BONE FORMATION
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Machine learning-based real-time visible fatigue crack growth detection 被引量:6
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作者 Le Zhang Zhichen Wang +3 位作者 Lei Wang Zhe Zhang Xu Chen Lin Meng 《Digital Communications and Networks》 SCIE CSCD 2021年第4期551-558,共8页
Many large-scale and complex structural components are applied in the aeronautics and automobile industries.However,the repeated alternating or cyclic loads in service tend to cause unexpected fatigue fractures.Theref... Many large-scale and complex structural components are applied in the aeronautics and automobile industries.However,the repeated alternating or cyclic loads in service tend to cause unexpected fatigue fractures.Therefore,developing real-time and visible monitoring methods for fatigue crack initiation and propagation is critically important for structural safety.This paper proposes a machine learning-based fatigue crack growth detection method that combines computer vision and machine learning.In our model,computer vision is used for data creation,and the machine learning model is used for crack detection.Then computer vision is used for marking and analyzing the crack growth path and length.We apply seven models for the crack classification and find that the decision tree is the best model in this research.The experimental results prove the effectiveness of our method,and the crack length measurement accuracy achieved is 0.6 mm.Furthermore,the slight machine learning models help us realize real-time and visible fatigue crack detection. 展开更多
关键词 Fatigue crack Growth prediction Mechanoresponsive luminogen Structural health monitoring Computer vision Machine learning
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Solvent‑aided phase separation in hydrogel towards significantly enhanced mechanoresponsive strength
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作者 Haibao Lu Ziyu Xing +2 位作者 Mingji Chen Kai Yu Yong Qing Fu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2021年第5期757-766,I0001,共11页
Understanding working principles and thermodynamics behind phase separations,which have significant influences on condensed molecular structures and their performances,can inspire to design and fabricate anomalously a... Understanding working principles and thermodynamics behind phase separations,which have significant influences on condensed molecular structures and their performances,can inspire to design and fabricate anomalously and desirably mechanoresponsive hydrogels.However,a combination of techniques from physicochemistry and mechanics has yet been established for the phase separation in hydrogels.In this study,a thermodynamic model is firstly formulated to describe solvent-aided phase and microphase separations in the hydrogels,which present significantly improved mechanoresponsive strengths.Flory-Huggins theory and interfacial energy equation have further been applied to model the thermodynamics of concentration-dependent and temperature-dependent phase separations.An intricately detailed phase map has finally been formulated to explore the working principle.The thermodynamic methodology of phase separations,combined with the constitutive stress-strain relationships,has a great potential to explore the working mechanisms in mechanoresponsive hydrogels. 展开更多
关键词 HYDROGEL Mechanoresponsive Phase separation Microphase separation
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Ultrasound-controlled HOFs:a breakthrough in precision drug delivery
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作者 Wei Chen Peng Li 《Science China Materials》 2025年第6期2152-2153,共2页
The meticulous regulation of mechanochemical activation in the depths of tissue using non-invasive ultrasound technology harbors significant potential to enhance our comprehension of core biomedical sciences and to tr... The meticulous regulation of mechanochemical activation in the depths of tissue using non-invasive ultrasound technology harbors significant potential to enhance our comprehension of core biomedical sciences and to transform the landscape of disease treatment methodologies[1].Despite this promise,the scientific community has yet to uncover a mechanoresponsive materials system that is guided by robust theoretical frameworks and characterized by clearly defined ultrasound activation parameters.Such a system would not only deepen our understanding of the intricate interplay between mechanical forces and biological responses but also pave the way for innovative therapeutic strategies that could be precisely controlled and tailored to individual patient needs.The exploration of this uncharted territory stands as a beacon,calling for interdisciplinary collaboration to unlock the full potential of ultrasound in medical science and treatment paradigms. 展开更多
关键词 mechanochemical activation precision drug delivery biomedical sciences enhance our comprehension core biomedical sciences robust theoretical frameworks mechanoresponsive materials system therapeutic strategies transform landscape disease treatment methodologies despite
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