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Sodium butyrate protects against focal cerebral ischemic injury through regulation of the nuclear receptor Nur77

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分析化学 2021年

作者： MEN Li-Hui SONG Tong-Tong WANG Xi HUI Wen-Ting GU Yi-Wen DU Wen-Jing zhang si-wei CHEN Xia Department of Pharmacology， College of Basic Medical Sciences， Jilin University

Focal cerebral ischemia is a major cardiovascular disease that seriously threatens human health. Sodium butyrate has been identified as a neuromodulator in cerebral ischemia but the underlying mechanisms remain unclear. The present study aimed to clarify the neuronal anti-inflammatory mechanisms of sodium butyrate against focal cerebral ischemia. A focal cerebral ischemic rat model was established by administering sodium butyrate prior to middle cerebral artery occlusion (MCAO). The neuroprotective effects of sodium butyrate were evaluated 24 h after MCAO， using neurological score， infarction volume， and inflammatory biomarkers as the criteria. The expressions of nuclear receptor subfamily 4 group A1 (Nur77)， nod-like receptor protein 3 (NLRP3)， caspase-1 and interleukin-1β (IL-1β) in brain tissues were also analyzed. To explore the role of sodium butyrate in Nur77/NLRP3-mediated inflammatory response， oxygen and glucose deprivation (OGD)-stimulated HT22 cells were treated with sodium butyrate and siNur77. Sodium butyrate treatment significantly attenuated neurological impairment and neuroinflammation induced by cerebral ischemia. Sodium butyrate-mediated dysregulation of Nur77 expression and production of NLRP3-related inflammatory factors were observed in cerebral ischemia in vivo and in vitro. In addition， Nur77 was identified as a negative regulator of NLRP3 in HT22 cells under OGD. The results indicate that the anti-inflammatory effect of sodium butyrate was achieved by upregulating Nur77 expression， which subsequently suppressed neuronal NLRP3-mediated inflammatory response. Overall， sodium butyrate clearly has a neuroprotective effect against focal cerebral ischemia by modulating Nur77/NLRP3-mediated inflammatory response.

关键词： Sodium butyrate Focal cerebral ischemia Nuclear receptor subfamily 4 group A1 Nod-like receptor protein 3 Inflammatory response

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Physarum polycephalum-inspired adaptive optimization design of artificial microtubular networks

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Science China Chemistry 2025年

作者： si-Min Zeng Di-wei Zheng Ting Pan Xing-Lan Ding Yun zhang Chi-Hui Yang si-Xue Cheng Xian-Zheng zhang Key Laboratory of Biomedical Polymers of Ministry of Education&Department of Chemistry Wuhan University

Natural biological microtubular networks have undergone adaptive evolutionary selection and may offer viable solutions to design challenges in artificial microtubular networks. The plasmodium of the slime mold Physarum polycephalum(P. polycephalum) extends continuously to form a protoplasmic microtubular network structure, directly connecting food *** simulations revealed that the formation of this adaptive P. polycephalum microtubular network could be captured by a mathematical algorithm. Inspired by the P. polycephalum microtubular networks, we propose an adaptive optimization design method for artificial microtubular networks. Specifically, we utilized hydrogels with biodegradable and tissue-adhesive properties to replicate the P. polycephalum microtubular networks via photomask. In Rhodamine B diffusion and glucosecatalyzed reaction experiments, we found that the P. polycephalum microtubular networks exhibited significantly enhanced efficiency compared to vascular and artificial networks. Furthermore, we demonstrated the potential for uric acid(UA) degradation of the hydrogels with a real P. polycephalum microtubular network loaded with urate oxidase(UOx) in a rodent model of hyperuricemia. And this network achieved more than double the effect of the artificial network. This underscores the potential of natural microtubular networks to replace artificial microtubular networks.

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Unraveling brain aging through the lens of oral microbiota

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Neural Regeneration Research 2025年第7期20卷 1930-1943页

作者： Qinchao Hu si Wang weiqi zhang Jing Qu Guang-Hui Liu State Key Laboratory of Membrane Biology Institute of ZoologyChinese Academy of SciencesBeijingChina Hospital of Stomatology Guanghua School of StomatologyGuangdong Provincial Key Laboratory of StomatologySun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Advanced Innovation Center for Human Brain Protection and National Clinical Research Center for Geriatric Disorders Xuanwu HospitalCapital Medical UniversityBeijingChina Aging Translational Medicine Center International Center for Aging and CancerBeijing Municipal Geriatric Medical Research CenterXuanwu HospitalCapital Medical UniversityBeijingChina CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijingChina University of Chinese Academy of Sciences BeijingChina Institute for Stem Cell and Regeneration Chinese Academy of SciencesBeijingChina Aging Biomarker Consortium BeijingChina State Key Laboratory of Stem Cell and Reproductive Biology Institute of ZoologyChinese Academy of SciencesBeijingChina Beijing Institute for Stem Cell and Regenerative Medicine BeijingChina

The oral cavity is a complex physiological community encompassing a wide range of *** of oral microbiota can lead to various oral infectious diseases,such as periodontitis and tooth decay,and even affect systemic health,including brain aging and neurodegenerative *** studies have highlighted how oral microbes might be involved in brain aging and neurodegeneration,indicating potential avenues for intervention *** this review,we summarize clinical evidence demonstrating a link between oral microbes/oral infectious diseases and brain aging/neurodegenerative diseases,and dissect potential mechanisms by which oral microbes contribute to brain aging and *** also highlight advances in therapeutic development grounded in the realm of oral microbes,with the goal of advancing brain health and promoting healthy aging.

关键词： Alzheimer's disease brain aging multiple sclerosis neurodegeneration neurodegenerative diseases oral microbiota Parkinson's disease periodontitis bacteria Porphyromonas gingivalis

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钢丝绳杆泵抽油系统优化设计方法及现场应用

石油学报 2005年第6期26卷 104-108页

作者：檀朝东贺德才张嗣伟中国石油大学石油天然气工程学院北京102249 中国石油青海油田公司甘肃敦煌736202

应用系统工程节点分析方法,全面定量地计算了从油层到井口的整个系统钢丝绳和常规杆混合杆柱抽油井的供排协调点,合理地选择机-泵工作参数和混合杆柱组合,分析了杆柱的受力状况,预测了系统指标,包括产液量、冲程效率、泵效、井下系统效... 详细信息

应用系统工程节点分析方法,全面定量地计算了从油层到井口的整个系统钢丝绳和常规杆混合杆柱抽油井的供排协调点,合理地选择机-泵工作参数和混合杆柱组合,分析了杆柱的受力状况,预测了系统指标,包括产液量、冲程效率、泵效、井下系统效率。分析了主要抽油工作参数(泵深、冲程、冲次、泵径)对系统指标的影响,得出了考虑多目标指标下的油井优化设计方案。编制了钢丝绳杆混合杆柱的抽油井系统优化设计软件,设计软件在现场应用取得了较好的效果。

关键词：钢丝绳抽油杆抽油系统杆柱组合优化设计工作参数现场应用

共振解调和模糊识别技术在钻井泵轴承故障诊断中的应用

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石油学报 2005年第4期26卷 119-122页

作者：裴峻峰张嗣伟齐明侠中国石油大学

在钻井生产现场,由于工作条件恶劣及振源多,背景噪声强烈,因而用理论计算所得到的故障特征频率与实测信号经一般频谱分析后得到的响应信息缺乏一一对应关系。为了解决钻井泵轴承故障特征难以提取的问题,采用共振解调技术来提取深埋于正... 详细信息

在钻井生产现场,由于工作条件恶劣及振源多,背景噪声强烈,因而用理论计算所得到的故障特征频率与实测信号经一般频谱分析后得到的响应信息缺乏一一对应关系。为了解决钻井泵轴承故障特征难以提取的问题,采用共振解调技术来提取深埋于正常振动信息中轴承的故障信息,在此基础上进行频谱分析。但由于实际轴承的几何尺寸有误差,再加上现场各种因素的干扰,使这样得到的频谱图上的频率值与计算所得故障特征频率值仍有出入。进一步采用模糊“择近原则”来识别各种故障特征频率,从而较好地实现了钻井用往复泵轴承的故障诊断。

关键词：钻井泵轴承故障诊断共振解调技术频谱分析模糊识别

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钢丝绳抽油杆抽油系统抽油模式的选择

石油学报 2004年第4期25卷 87-91页

作者：檀朝东张嗣伟石油大学石油天然气工程学院北京102249

用预测方法来研究钢丝绳抽油杆抽油系统的抽油模式 ,可确定在中、低产量深井中应用此抽油系统的最佳油汲参数、杆柱组合、抽油机机型等。研究结果表明 ,在中、低产量深井应用此抽油系统时 ,长冲程、低冲次、中小泵径、油管锚定、直径较... 详细信息

用预测方法来研究钢丝绳抽油杆抽油系统的抽油模式 ,可确定在中、低产量深井中应用此抽油系统的最佳油汲参数、杆柱组合、抽油机机型等。研究结果表明 ,在中、低产量深井应用此抽油系统时 ,长冲程、低冲次、中小泵径、油管锚定、直径较小的钢丝绳杆与直径较大的加重钢杆组成的抽油混合杆柱是最佳抽油模式。该模式有利于提高泵的有效冲程及系统效率 ,降低能耗。采用液压抽油机有利于充分发挥钢丝绳抽油杆的有效冲程。

关键词：钢丝绳抽油杆抽油系统抽油模式预测方法

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塑料与橡胶材料磨损金属的研究进展

摩擦学学报 2000年第3期20卷 230-235页

作者：何仁洋张嗣伟石油大学机电工程学院北京102200

综述了近 40年来国内外关于塑料与橡胶材料磨损金属的研究进展 ,主要就金属的磨损率及其影响因素、塑料与橡胶磨损金属的物理效应及化学机制进行了概括论述 .并针对高分子材料磨损金属的研究现状及其发展前景。

关键词：磨损率物理效应化学机制塑料橡胶

High Fe‑Loading single‑Atom Catalyst Boosts ROS Production by Density Effect for Efficient Antibacterial Therapy

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Nano-Micro Letters 2025年第2期17卷 187-203页

作者： si Chen Fang Huang Lijie Mao Zhimin zhang Han Lin Qixin Yan Xiangyu Lu Jianlin Shi Department of Cardiology Shanghai Tenth People’s HospitalSchool of MedicineTongji UniversityShanghai 200092People’s Republic of China Shanghai Institute of Ceramics Chinese Academy of SciencesShanghai 200050People’s Republic of China Shanghai Frontiers Science Center of Nanocatalytic Medicine School of MedicineTongji UniversityShanghai 200092People’s Republic of China

The current single-atom catalysts(SACs)for medicine still suffer from the limited active site ***,we develop a synthetic method capable of increasing both the metal loading and mass-specific activity of SACs by exchanging zinc with *** constructed iron SACs(h^(3)-FNC)with a high metal loading of 6.27 wt%and an optimized adjacent Fe distance of~4 A exhibit excellent oxidase-like catalytic performance without significant activity decay after being stored for six months and promising antibacterial ***,a“density effect”has been found at a high-enough metal doping amount,at which individual active sites become close enough to interact with each other and alter the electronic structure,resulting in significantly boosted intrinsic activity of single-atomic iron sites in h^(3)-FNCs by 2.3 times compared to low-and medium-loading ***,the overall catalytic activity of h^(3)-FNC is highly improved,with mass activity and metal mass-specific activity that are,respectively,66 and 315 times higher than those of commercial Pt/*** addition,h^(3)-FNCs demonstrate efficiently enhanced capability in catalyzing oxygen reduction into superoxide anion(O_(2)·^(−))and glutathione(GSH)*** in vitro and in vivo assays demonstrate the superior antibacterial efficacy of h^(3)-FNCs in promoting wound *** work presents an intriguing activity-enhancement effect in catalysts and exhibits impressive therapeutic efficacy in combating bacterial infections.

关键词： Nanocatalytic medicine single-atom catalysts Reactive oxygen species(ROS) High metal loading Oxidase catalysis

Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

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Energy Engineering 2025年第1期122卷 243-264页

作者： Liyao Yang HongyanMa Yingda zhang wei He School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China Institute of Distributed Energy Storage Safety Big Data Beijing100044China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing100044China

Accurately estimating the State of Health(SOH)and Remaining Useful Life(RUL)of lithium-ion batteries(LIBs)is crucial for the continuous and stable operation of battery management ***,due to the complex internal chemical systems of LIBs and the nonlinear degradation of their performance,direct measurement of SOH and RUL is *** address these issues,the Twin Support Vector Machine(TWSVM)method is proposed to predict SOH and ***,the constant current charging time of the lithium battery is extracted as a health indicator(HI),decomposed using Variational Modal Decomposition(VMD),and feature correlations are computed using Importance of Random Forest Features(RF)to maximize the extraction of critical factors influencing battery performance ***,to enhance the global search capability of the Convolution Optimization Algorithm(COA),improvements are made using Good Point Set theory and the Differential Evolution *** Improved Convolution Optimization Algorithm(ICOA)is employed to optimize TWSVM parameters for constructing SOH and RUL prediction ***,the proposed models are validated using NASA and CALCE lithium-ion battery *** results demonstrate that the proposed models achieve an RMSE not exceeding 0.007 and an MAPE not exceeding 0.0082 for SOH and RUL prediction,with a relative error in RUL prediction within the range of[-1.8%,2%].Compared to other models,the proposed model not only exhibits superior fitting capability but also demonstrates robust performance.

关键词： State of health remaining useful life variational modal decomposition random forest twin support vector machine convolutional optimization algorithm