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| 1 | The national multi-center artificial intelligent myopia prevention and control project显示文摘In recent years,the incidence of myopia has increased at an alarming rate among children and adolescents in China.The exploration of an effective prevention and control method for myopia is in urgent need.With the development of information technology in the past decade,artificial intelligence with the Internet of Things technology(AIoT)is characterized by strong computing power,advanced algorithm,continuous monitoring,and accurate prediction of long-term progression.Therefore,big data and artificial intelligence technology have the potential to be applied to data mining of myopia etiology and prediction of myopia occurrence and development.More recently,there has been a growing recognition that myopia study involving AIoT needs to undergo a rigorous evaluation to demonstrate robust results. | Xun Wang Yahan Yang Yuxuan Wu Wenbin Wei Li Dong Yang Li Xingping Tan Hankun Cao Hong Zhang Xiaodan Ma Qin Jiang Yunfan Zhou Weihua Yang Chaoyu Li Yu Gu Lin Ding Yanli Qin Qi Chen Lili Li Mingyue Lian Jin Ma Dongmei Cui Yuanzhou Huang Wenyan Liu Xiao Yang Shuiming Yu Jingjing Chen Dongni Wang Zhenzhe Lin Pisong Yan Haotian Lin Chinese Association of Artificial Intelligence,Medical Artificial Intelligence Branch of Guangdong Medical Association | 2021 | Intelligent Medicine2021，1，2： | 1 |
| 2 | Polydopamine functionalized mesoporous silica as ROS-sensitive drug delivery vehicles for periodontitis treatment by modulating macrophage polarization显示文摘Periodontitis is recognized as the major cause of tooth loss in adults, posing an adverse impact on systemic health. In periodontitis, excessive production of reactive oxygen species (ROS) at the inflamed site culminates in periodontal destruction. In this study, a novel ROS-responsive drug delivery system based on polydopamine (PDA) functionalized mesoporous silica nanoparticles was developed for delivering minocycline hydrochloride (MH) to treat periodontitis. The outer PDA layer and the inner MH of the nanoparticles acted as ROS scavengers and anti-inflammatory agents, respectively. Under the synergistic action of PDA and MH, macrophages were polarized from the pro-inflammatory M1 to the anti-inflammatory M2 phenotype. The in vitro experiments provided convincing evidence that PDA could scavenge ROS effectively, and the expression of pro-inflammatory cytokines was attenuated and the secretion of anti-inflammatory cytokines was enhanced through M1 to M2 polarization of macrophages with the cooperation of MH. In addition, the results obtained from the periodontitis rat models demonstrated that the synergetic effect of PDA and MH prevented alveolar bone loss without causing any adverse effect. Taken together, the results from the present investigation provide a new strategy to remodel the inflammatory microenvironment by inducing the polarization of macrophages from M1 toward M2 state for the treatment of periodontitis. | Bingbing Bai Chaoyu Gu Xiaohui Lu Xingyu Ge Junling Yang Chenfei Wang Yongchun Gu Aidong Deng Yuehua Guo Xingmei Feng Zhifeng Gu | 2021 | Nano Research2021，14，12： | 0 |
| 3 | A Direct Toolpath Constructive Design Method for Controllable Porous Structure Configuration with a TSP-based Sequence Planning Determination显示文摘The inherent capabilities of additive manufacturing(AM)to fabricate porous lattice structures with controllable structural and functional properties have raised interest in the design methods for the production of extremely in-tricate internal geometries.Current popular methods of porous lattice structure design still follow the traditional flow,which mainly consists of computer-aided design(CAD)model construction,STereoLithography(STL)model conversion,slicing model acquisition,and toolpath configuration,which causes a loss of accuracy and manufac-turability uncertainty in AM preparation stages.Moreover,toolpath configuration relies on a knowledge-based approach summarized by expert systems.In this process,geometrical construction information is always ignored when a CAD model is created or constructed.To fully use this geometrical information,avoid accuracy loss and ensure qualified manufacturability of porous lattice structures,this paper proposes a novel toolpath-based con-structive design method to directly generate toolpath printing file of parametric and controllable porous lattice structures to facilitate model data exchange during the AM preparation stages.To optimize the laser jumping route between lattice cells,we use a hybrid travelling salesman problem(TSP)solver to determine the laser jumping points on contour scans.Four kinds of laser jumping orders are calculated and compared to select a minimal laser jumping route for sequence planning inside lattice cells.Hence,the proposed method can achieve high-precision lattice printing and avoid computational consumption in model conversion stages from a geomet-rical view.The optical metallographic images show that the shape accuracy of lattice patterns can be guaranteed.The existence of“grain boundaries”brought about by the multi-contour scanning strategy may lead to different mechanical properties. | Zhiping Wang Yicha Zhang Donghua Dai Dongdong Gu Chaoyue Chen Di Wang Alain Bernard | 2023 | Chinese Journal of Mechanical Engineering(Additive Manufacturing Frontiers)2023，2，1： | 0 |
| 4 | A biomimetic adipocyte mesenchymal stem cell membrane-encapsulated drug delivery system for the treatment of rheumatoid arthritis显示文摘Rheumatoid arthritis(RA)is a chronic,progressive,and inflammatory systemic autoimmune disease.Effective drug therapy for RA is hindered by severe side effects due to inefficient delivery to the disease site and broad drug distribution.Inspired by biomimetic biology,this study developed a drug delivery system of adipose-derived mesenchymal stem cell membrane-encapsulated nanoparticles for the treatment of RA.The intact adipose-derived mesenchymal stem cell(ADSC)membrane was coated on poly(lactic-co-glycolic acid)(PLGA)nanoparticles and loaded with tacrolimus(FK506),a T cell inhibitor.The ADSC membrane encapsulated on nanoparticles retains the original homing properties of ADSC,targeting the inflamed joints and enhancing tacrolimus anti-inflammatory effect.Both in vitro and in vivo experiments proved that the synergistic effect of the ADSC-membrane and tacrolimus effectively inhibited inflammation in vivo and reduced the expression of pro-inflammatory factors(IL-1β,IL-6,tumor necrosis factor-α(TNF-α)),and increased the expression of anti-inflammatory factors(IL-10).In addition,collagen-induced arthritis(CIA)model results also showed that the drug delivery system could effectively reduce the destruction of articular cartilage and bone in mice without causing any adverse effects.This study provided a new biomimetic targeting strategy to reshape the inflammatory microenvironment by modulating T cell subsets,providing new inspiration for RA treatment. | Chaoyu Gu Shaoying Yang Xuesong Liu Yi Jin Ye Yu Liangjing Lu | 2023 | Nano Research2023，16，8： | 0 |
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