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牙周膜干细胞外泌体对炎症环境来源牙周膜干细胞生物学特性的影响

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中国组织工程研究 2025年第13期29卷 2744-2752页

作者：蒋志梁罗雅馨胡峥祺杨丽杨婵婵陈虹刘小艺黄艳杨琨遵义医科大学附属口腔医院贵州省遵义市563006 遵义医科大学附属口腔医院牙周科贵州省遵义市563006 遵义医科大学贵州省遵义市563006

背景:近年来牙周膜干细胞外泌体在牙周组织再生工程中的应用得到了广泛研究,但其对于炎症环境来源牙周膜干细胞的影响尚不清楚。目的:探讨健康和炎症环境来源牙周膜干细胞所分泌的外泌体对炎症环境来源牙周膜干细胞增殖及分化能力的影... 详细信息

背景:近年来牙周膜干细胞外泌体在牙周组织再生工程中的应用得到了广泛研究,但其对于炎症环境来源牙周膜干细胞的影响尚不清楚。目的:探讨健康和炎症环境来源牙周膜干细胞所分泌的外泌体对炎症环境来源牙周膜干细胞增殖及分化能力的影响。方法:采用酶消化法分离培养健康牙周组织与牙周炎组织来源的人牙周膜干细胞,采用超速离心法提取两种来源人牙周膜干细胞的外泌体。选取生长状态良好的第3代炎症组织来源牙周膜干细胞,分3组培养:空白组常规培养,健康外泌体组加入健康组织来源外周膜干细胞分泌的外泌体,炎症外泌体组加入炎症组织来源人牙周膜干细胞分泌的外泌体,检测细胞增殖与克隆形成;在成骨诱导分化条件下,检测细胞碱性磷酸酶表达与矿化结节形成、成骨相关基因mRNA与蛋白的表达。结果与结论:①CCK-8检测与克隆形成实验显示,与空白组相比,两种来源外泌体均可促进炎症组织来源牙周膜干细胞的增殖与细胞集落形成(P<0.05),并且健康外泌体组的作用强于炎症外泌体组(P<0.05);②碱性磷酸酶与茜素红染色显示,与空白组相比,两种来源外泌体均可促进炎症组织来源牙周膜干细胞碱性磷酸酶的表达与矿化结节形成,并且健康外泌体组的促进作用强于炎症外泌体组;RT-PCR与Western Blot检测显示,与空白组相比,两种来源外泌体均可促进炎症组织来源牙周膜干细胞碱性磷酸酶、RUNX2、Ⅰ型胶原mRNA与蛋白的表达(P<0.05),并且健康外泌体组的促进作用强于炎症外泌体组(P<0.05);③结果表明,人牙周膜干细胞分泌的外泌体能够促进炎症环境来源牙周膜干细胞的增殖及成骨分化能力,并且健康组织来源人牙周膜干细胞分泌外泌体的促进作用优于炎症组织来源人牙周膜干细胞分泌的外泌体。

关键词：牙周炎干细胞牙周膜干细胞外泌体细胞增殖成骨分化组织工程

Polyethylene glycol fusion repair of severed sciatic nerves accelerates recovery of nociceptive sensory perceptions in male and female rats of different strains

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Neural Regeneration Research 2025年第9期20卷 2667-2681页

作者： Liwen Zhou Karthik Venkudusamy Emily A.Hibbard Yessenia Montoya Alexa Olivarez Cathy Z.yang Adelaide Leung Varun Gokhale Guhan Periyasamy Zeal Pathak Dale R.Sengelaub George D.Bittner Department of Neuroscience University of TexasAustinTXUSA Program in Neuroscience Indiana UniversityBloomingtonINUSA Department of Molecular Biosciences University of TexasAustinTXUSA

Successful polyethylene glycol fusion(PEG-fusion)of severed axons following peripheral nerve injuries for PEG-fused axons has been reported to:(1)rapidly restore electrophysiological continuity;(2)prevent distal Wallerian Degeneration and maintain their myelin sheaths;(3)promote primarily motor,voluntary behavioral recoveries as assessed by the Sciatic Functional Index;and,(4)rapidly produce correct and incorrect connections in many possible combinations that produce rapid and extensive recovery of functional peripheral nervous system/central nervous system connections and reflex(e.g.,toe twitch)or voluntary *** preceding companion paper describes sensory terminal field reo rganization following PEG-fusion repair of sciatic nerve transections or ablations;howeve r,sensory behavioral recovery has not been explicitly explored following PEG-fusion *** the current study,we confirmed the success of PEG-fusion surgeries according to criteria(1-3)above and more extensively investigated whether PEG-fusion enhanced mechanical nociceptive recovery following sciatic transection in male and female outbred Sprague-Dawley and inbred Lewis *** nociceptive responses were assessed by measuring withdrawal thresholds using von Frey filaments on the dorsal and midplantar regions of the *** von Frey filament tests were a more reliable method than plantar von Frey filament tests to assess mechanical nociceptive sensitivity following sciatic nerve *** withdrawal thresholds of the sciatic-mediated lateral dorsal region differed significantly across strain but not *** thresholds did not change significantly from baseline in chronic Unoperated and Sham-operated *** sciatic transection,all rats exhibited severe hyposensitivity to stimuli at the lateral dorsal region of the hindpaw ipsilateral to the ***,PEG-fused rats exhibited significantly earlier return to baseline withdrawal thresholds than Negative

关键词： autophagia axotomy collateral sprouting neuropathic pain peripheral nerve repair polyethylene glycol fusion(PEG-fusion) saphenous nerve sensory neurons sex and strain Wallerian degeneration

Recent advances in the electrochemical oxidation water treatment: Spotlight on byproduct control

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Frontiers of Environmental Science & Engineering 2020年第5期14卷 103-114页

作者： yang yang Department of Civil and Environmental Engineering Clarkson UniversityPotsdamNY 13699USA

Electrochemical oxidation(EO)is a promising technique for decentralized wastewater treatment,owing to its modular design,high efficiency,and ease of automation and *** catalytic destruction of recalcitrant,non-biodegradable pollutants(per-and poly-fluoroalkyl substances(PFAS),pharmaceuticals,and personal care products(PPCPs),pesticides,etc.)is an appropriate niche for *** can be more effective than homogeneous advanced oxidation processes for the degradation of recalcitrant chemicals inert to radical-mediated oxidation,because the potential of the anode can be made much higher than that of hydroxyl radicals(EOH=2.7 V ***),forcing the direct transfer of electrons from pollutants to ***,at such high anodic potential,chloride ions,which are ubiquitous in natural water systems,will be readily oxidized to chlorine and *** is a to-be-regulated byproduct,and chlorine can react with matrix organics to produce organic halogen *** the past ten years,novel electrode materials and processes have been ***,spotlights were rarely focused on the control of byproduct formation during EO processes in a real-world *** we use EO techniques to eliminate target contaminants with concentrations atμg/L-levels,byproducts at mg/L-levels might be *** it a good trade-oft?.Is it possible to inhibit byproduct formation without compromising the performance of EO?In this minireview,we will summarize the recent advances and provide perspectives to address the above questions.

关键词： Electrochemical water treatment Byproducts Perchlorate

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间充质干细胞分泌组发挥作用的分子机制

中国组织工程研究 2025年第7期29卷 1512-1522页

作者：李佳林张耀东娄艳茹于洋杨蕊北京大学第三医院妇产科生殖医学中心女性生育力促进全国重点实验室北京市100191 国家妇产疾病临床医学研究中心(北京大学第三医院) 北京市100191 辅助生殖教育部重点实验室(北京大学) 北京市100191 生殖内分泌与辅助生殖技术北京市重点实验室北京市100191 国家临床重点专科建设项目(2023)专项资金北京市100191

背景:大量研究证实间充质干细胞分泌组的治疗有效性与间充质干细胞相当,但对于其发挥作用的机制尚不清楚。目的:总结近年来关于间充质干细胞分泌组的研究进展,探究其发挥治疗作用的分子机制,分析目前面临的问题并展望未来发展方向。方法... 详细信息

背景:大量研究证实间充质干细胞分泌组的治疗有效性与间充质干细胞相当,但对于其发挥作用的机制尚不清楚。目的:总结近年来关于间充质干细胞分泌组的研究进展,探究其发挥治疗作用的分子机制,分析目前面临的问题并展望未来发展方向。方法:以“exosomes,mesenchymal stem cells secrete,extracellular vesicles,mesenchymal stem cells,mechanism”为英文检索词检索PubMed数据库相关文献,排除与文章研究目的无关及重复性文章,同时结合文献追踪的方法,最终纳入符合要求的109篇文献进行综述。结果与结论:(1)间充质干细胞分泌组通过递送遗传物质、免疫调节因子和生长因子等到靶细胞,通过激活靶细胞抗凋亡和促生存途径,调节血管生成,调节纤维化以及调节免疫微环境,促进组织修复和再生。(2)间充质干细胞分泌组在疾病治疗方面的潜力也得到证实,大量研究结果表明,间充质干细胞分泌组可以作为炎症疾病和退行性疾病的新型无细胞替代治疗方法。(3)近年来,经过工程化改造间充质干细胞分泌组发挥的治疗作用更加高效,但是由于间充质干细胞分泌组的异质性以及成分的复杂性,其发挥治疗作用的具体机制尚不清楚。(4)目前,仍需要进一步研究来明确间充质干细胞分泌组发挥治疗作用的关键靶点,并且未来应结合工程化和基因工程技术等,研发出具有创新性的特异型、增强型间充质干细胞分泌组。

关键词：间充质干细胞外泌体细胞外囊泡间充质干细胞分泌组免疫调节组织修复再生医学分子机制

人工智能在脊髓神经损伤与修复领域研究热点的可视化分析

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中国组织工程研究 2025年第4期29卷 761-770页

作者：杨彬陶广义杨顺许俊杰黄俊卿河南省中医院/河南中医药大学第二附属医院疼痛科河南省郑州市450000 河南中医药大学骨伤学院河南省郑州市450000

背景:近年来人工智能逐渐兴起,在多方面应用于脊髓神经损伤与修复领域,对临床治疗也有诸多积极影响。目的:研究人工智能在脊髓神经损伤与修复领域的诊断、治疗和康复中的应用进展,明确该领域的研究热点和不足,为今后研究工作提供建议。... 详细信息

背景:近年来人工智能逐渐兴起,在多方面应用于脊髓神经损伤与修复领域,对临床治疗也有诸多积极影响。目的:研究人工智能在脊髓神经损伤与修复领域的诊断、治疗和康复中的应用进展,明确该领域的研究热点和不足,为今后研究工作提供建议。方法:在Web of Science核心集数据库检索建库至2023年收录的人工智能在脊髓神经损伤与修复领域相关文献,使用CiteSpace 6.1.R6和VOSviewer 1.6.19软件对文献数据进行一般文献学分析、文献共被引、期刊共被引、期刊双图叠加及关键词聚类等可视化分析。结果与结论:①共筛选出1713篇文章,此领域年发文量呈波动上升趋势,其中美国占据主导地位,Kadone Hideki是发文量最多的作者,《ARCH PHYS MED REHAB》是被引用次数最多的期刊。②关键词共现和聚类分析显示,去除与检索词相近的关键词后,主要关键词被分为3个主要集群:外骨骼与运动康复(为最大核心热点)、机器学习和神经可塑性、机器人和康复训练。③关键词爆发分析显示,深度学习和人工智能在过去5年中已成为突发术语。④文献共被引和高被引文献分析结果显示,人工智能在脊髓神经损伤与修复领域热点集中于动力外骨骼(powered exoskeleton)、步态(gait)、神经电刺激(electrical nerve stimulation)、皮质内脑机接口(intracortical brain-computer interface,IBCI)、机器人(robot)、高分子生物材料(polymer biomaterials)及神经干细胞(neural stem cell)等内容。⑤人工智能在脊髓神经损伤与修复领域的研究近年来呈现上升趋势,该领域的关注点从外骨骼、电刺激等单一的治疗手段,逐渐向智能化、精准化和个性化等方向转变。⑥该领域存在一些局限性,例如数据缺失或不平衡的后果、数据准确性和可重复性低以及伦理问题(如隐私、研究透明度和临床可靠性等),未来的研究应该解决数据收集的问题,需要大样本、高质量的临床数据集来建立有效的人工智能模型;同时该领域的基因组学等机制研究十分薄弱,未来可利用类脑芯片等多种机器学习技术,运用基因编辑治疗及单细胞空间转录组等方法,进行再生相关基因上调和轴突生长结构蛋白产生等基础机制研究。

关键词：人工智能神经再生脊髓损伤机器外骨骼脑机接口神经电刺激脑皮质重组深度学习机器学习神经网络

儿童粗大动作发展特征与汉语发展性阅读障碍的关联

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中国心理卫生杂志 2025年第1期39卷 37-42页

作者：任园春范碧瑶宋以玲王久菊朱飞龙吉宁曹庆久北京师范大学北京100875 清华大学体育部北京100084 北京大学第六医院北京大学精神卫生研究所国家卫生健康委员会精神卫生学重点实验室(北京大学)国家精神心理疾病临床医学研究中心(北京大学第六医院)北京100083 北大医疗脑健康儿童发展中心北京100091

目的:探究儿童粗大动作发展特征与汉语发展性阅读障碍(DD)的关联。方法:从北京市某三甲医院精神专科门诊招募27名7~10岁确诊汉语DD儿童,从北京某普通小学招募年龄、性别、总智商相匹配的27名儿童为对照组。采用儿童粗大动作发展测试量... 详细信息

目的:探究儿童粗大动作发展特征与汉语发展性阅读障碍(DD)的关联。方法:从北京市某三甲医院精神专科门诊招募27名7~10岁确诊汉语DD儿童,从北京某普通小学招募年龄、性别、总智商相匹配的27名儿童为对照组。采用儿童粗大动作发展测试量表第三版(TGMD-3)、儿童发育协调障碍评估工具(M-ABC)中动静态平衡测验评估被试儿童的粗大动作发展水平。采用小学生识字量测试题库及评价量表、一分钟读字、小学生阅读能力测评评估被试阅读能力。结果:汉语DD儿童TGMD-3总分、位移动作总分、物控动作总分、动静态平衡得分均低于对照组(P<0.05)。Logistic回归分析显示动静态平衡得分、位移动作总分、物控动作总分和TGMD-3总分与患有阅读障碍负关联(OR=3.08、1.35、1.16、1.13,均P<0.05)。结论:儿童粗大动作发展落后与汉语发展性阅读障碍有关联。

关键词：汉语发展性阅读障碍粗大动作发展儿童关联

Interpretable Machine Learning Method for Compressive Strength Prediction and Analysis of Pure Fly Ash-based Geopolymer Concrete

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期 65-78页

作者：石玉琼 LI Jingyi ZHANG yang 李黎 Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education Northwest A&F University College of Water Resources and Architectural Engineering Northwest A&F University Chongqing Key Laboratory of Public Big Data Security Technology Chongqing College of Mobile Communication Department of Civil and Environmental Engineering The Hong Kong Polytechnic University National Rail Transit Electrification and Automation Engineering Technology Research Center(Hong Kong Branch) The Hong Kong Polytechnic University

In order to study the characteristics of pure fly ash-based geopolymer concrete （PFGC） conveniently,we used a machine learning method that can quantify the perception of characteristics to predict its compressive *** this study,505 groups of data were collected,and a new database of compressive strength of PFGC was *** order to establish an accurate prediction model of compressive strength,five different types of machine learning networks were used for comparative *** five machine learning models all showed good compressive strength prediction performance on *** them,R2,MSE,RMSE and MAE of decision tree model （DT） are 0.99,1.58,1.25,and 0.25,*** R2,MSE,RMSE and MAE of random forest model （RF） are 0.97,5.17,2.27 and 1.38,*** two models have high prediction accuracy and outstanding generalization *** order to enhance the interpretability of model decision-making,we used importance ranking to obtain the perception of machine learning model to 13 *** 13 variables include chemical composition of fly ash （SiO2/Al2O3,Si/Al）,the ratio of alkaline liquid to the binder,curing temperature,curing durations inside oven,fly ash dosage,fine aggregate dosage,coarse aggregate dosage,extra water dosage and sodium hydroxide *** temperature,specimen ages and curing durations inside oven have the greatest influence on the prediction results,indicating that curing conditions have more prominent influence on the compressive strength of PFGC than ordinary Portland cement *** importance of curing conditions of PFGC even exceeds that of the concrete mix proportion,due to the low reactivity of pure fly ash.

关键词：

Performance enhancement of triboelectric nanogenerator based on BaTiO3-incorporated PVDF-HFP nanofibers for self-powered wearable sensors

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Science China Technological Sciences 2025年第1期 266-273页

作者： Tianjie DENG Xi ZHANG Zhuanqing yang Gang XIANG College of Physics Sichuan University

The triboelectric nanogenerators（TENGs） based on polyvinylidene fluoride（PVDF） have attracted significant attention due to their high energy conversion efficiency and strong flexibility. Indeed, the TENGs with higher electrical performance and stronger mechanical robustness are more desirable. In this context, we design and fabricate TENGs based on nanofiber（NF） layer of Poly（vinylidene fluoridehexafluoropropylene）(PVDF-HFP), a copolymer of PVDF with better mechanical properties, in which the enhancement of dielectric constant and specific surface area is achieved by incorporation of BaTiO3into PVDF-HFP NFs using electrospinning. The results show that the TENGs demonstrates superior electrical performance. The optimized TENG exhibits an open-circuit voltage（VOC） of 432 V, a short-circuit current（ISC） of 44.2 μA, and a maximum power density（Pd） of 2.25 W/m2. Practical applications of the optimized TENG are also demonstrated, including its use as power source, cylindrical rotating energy harvester and self-powered wearable sensor. The findings give insights into the fabrication, performance and application of the TENGs based on BaTiO3-incorporated PVDF-HFP NFs, offering promising solutions for energy harvesting and diverse applications.

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A data-driven rolling optimization method for trajectory tracking error prediction of CNC machine tools

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Science China Technological Sciences 2025年第1期 274-289页

作者： Yinxin GUAN Jixiang yang Shizhong TAN Han DING School of Mechanical Science and Engineering State Key Laboratory of Intelligent Manufacturing Equipment and TechnologyHuazhong University of Science and Technology

The dynamic performance of the feed-drive system in CNC machine tools directly influences the accuracy of machined parts. To enhance the motion control performance of CNC machine tools, a high-precision model of the feed-drive system is critical. However, current modeling methods for feed-drive systems seldom consider time-varying factors such as loads, wear, and lubrication. As a result, the model accuracy degrades when the system characteristics are affected by these time-varying factors. In this paper, a rolling optimization method with partial weights frozen is developed to realize quick iterative learning of a data-driven model for a feed drive system with time-varying characteristics using a small amount of ***, the long short-term memory fully connected(LSTM-FC) network is built and divided into feature extraction and output fitting parts based on their functions. Then, a weight freezing-based rolling optimization method is applied. The weights in the feature extraction part are frozen, which preserves the learned common knowledge and patterns by solidifying the way that high-dimensional features are extracted from the input. By adjusting the weights in the output fitting part, the extracted highdimensional features are remapped to the new data distribution changed by time-varying factors. Finally, the performance of the developed rolling optimization method is confirmed by experiments. The results show that the proposed rolling optimization method reduces the maximum prediction errors by 49.5% and the total training time by 96.3% compared with existing methods,which demonstrates that the proposed method can restore model accuracy when the system characteristics change due to timevarying factors, and significantly accelerate the optimization process by rolling optimization.

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