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基于BDNF/TrkB/AMPK/SIRT1信号通路探讨耳电针刺激对癫痫大鼠记忆力和癫痫发作的影响

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现代中西医结合杂志 2024年第13期33卷 1776-1781页

作者：陈敏朱慧艳徐奕鹏陶静新疆维吾尔自治区人民医院新疆乌鲁木齐830001

目的基于脑源性神经营养因子(BDNF)/原肌球蛋白相关激酶B(TrkB)/腺苷酸活化蛋白激酶(AMPK)/沉默信息调节因子1(SIRT1)信号通路,探讨耳电针刺激对癫痫大鼠记忆力、癫痫发作的影响及其分子机制。方法将36只雄性SD大鼠随机分为正常4周组、... 详细信息

目的基于脑源性神经营养因子(BDNF)/原肌球蛋白相关激酶B(TrkB)/腺苷酸活化蛋白激酶(AMPK)/沉默信息调节因子1(SIRT1)信号通路,探讨耳电针刺激对癫痫大鼠记忆力、癫痫发作的影响及其分子机制。方法将36只雄性SD大鼠随机分为正常4周组、模型4周组、耳电针4周组、正常8周组、模型8周组、耳电针8周组,每组6只。2个模型组和2个耳电针组大鼠均建立锂-匹鲁卡品癫痫模型。癫痫模型建立24 h后,耳电针4周组和耳电针8周组大鼠分别给予耳电针刺激4周和8周,每周连续刺激3 d。每组干预结束后,采用抑制性回避试验测定大鼠空间记忆力,脑电图测定48 h内癫痫大鼠自发癫痫次数,ELISA测定大鼠海马组织中BDNF含量,Western blot法测定大鼠海马组织中TrkB、AMPK、SIRT1蛋白表达情况。结果模型4周组、模型8周组大鼠的黑盒滞留时间均明显长于对应时间的正常组(P均<0.05),48 h内出现多次自发癫痫,海马组织中BDNF含量和p-TrkB、p-AMPK、SIRT1蛋白相对表达量均明显低于对应时间的正常组(P均<0.05);耳电针4周组和耳电针8周组大鼠的黑盒滞留时间均明显短于对应时间的模型组(P均<0.05),48 h内自发癫痫次数均明显少于对应时间的模型组(P均<0.05),海马组织中BDNF含量和p-TrkB、p-AMPK、SIRT1蛋白相对表达量均明显高于对应时间的模型组(P均<0.05),且耳电针8周组上述指标改善情况均明显优于耳电针4周组(P均<0.05)。结论耳电针刺激可呈时间依赖性改善癫痫大鼠的记忆能力,减少癫痫发作,机制可能与调控海马组织中BDNF/TrkB/AMPK/SIRT1信号通路有关。

关键词：癫痫耳电针刺激记忆力脑源性神经营养因子原肌球蛋白相关激酶B 腺苷酸活化蛋白激酶沉默信息调节因子1

头针联合上肢功能性电刺激对脑卒中后上肢运动功能影响的随机对照研究

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中国康复医学杂志 2024年第4期39卷 500-504页

作者：徐奕鹏侯甜张雪陈铖王若兰邱铸黄君超胡师予孙娇龙张淇新疆维吾尔自治区人民医院康复医学科新疆维吾尔自治区乌鲁木齐市830001 襄阳市中心医院康复医学科十堰市太和医院康复院区神经康复三病区康复医学与康复工程技术襄阳市重点实验室

目的:探讨头针联合功能性电刺激(FES)对脑卒中患者上肢运动功能的影响。方法:本研究采取单盲随机对照研究,纳入符合标准的脑卒中上肢功能障碍患者60例,使用信封法随机分为头针联合FES组、FES组和常规康复组,每组各20例。给予5次/周,连续... 详细信息

目的:探讨头针联合功能性电刺激(FES)对脑卒中患者上肢运动功能的影响。方法:本研究采取单盲随机对照研究,纳入符合标准的脑卒中上肢功能障碍患者60例,使用信封法随机分为头针联合FES组、FES组和常规康复组,每组各20例。给予5次/周,连续4周的干预。比较三组在干预第2周、第4周,及治疗结束后的第4周随访时的上肢运动功能变化情况。采用Fugl-Meyer运动功能评定量表-上肢部分(FMA-UE)、Wolf运动功能评价量表及Brunnstrom分期进行干预效果的评价。结果:(1)三组一般资料及结局指标治疗前对比均无显著性差异(P>0.05);(2)治疗4周后及出院4周进行随访时,FMA-UE评分:头针联合FES组较FES组、常规康复组在FMA-UE评分明显提升,差异具有显著性意义(P0.05)。结论:头针联合上肢FES治疗可以提高脑卒中患者的上肢运动功能。

关键词：脑卒中头针上肢功能性电刺激

月季‘安吉拉’热胁迫反应机制及功能基因的挖掘

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园艺学报 2024年第6期51卷 1284-1296页

作者：杨碧楠李博文杨振宇徐奕芃阎韵清娄玉霞奉树成明凤上海师范大学生命科学学院植物种质资源开发协同创新中心上海200234 上海市绿化管理指导站上海200020

以月季品种‘安吉拉’‘韧月’‘仙境’为材料,模拟高温处理(46℃,4h),通过表型以及生理指标分析,明确‘安吉拉’对热胁迫的抵御能力最强。通过转录组、共表达、蛋白互作网络以及多态性分析发现,‘安吉拉’较高的热胁迫抵御能力与热激蛋... 详细信息

以月季品种‘安吉拉’‘韧月’‘仙境’为材料,模拟高温处理(46℃,4h),通过表型以及生理指标分析,明确‘安吉拉’对热胁迫的抵御能力最强。通过转录组、共表达、蛋白互作网络以及多态性分析发现,‘安吉拉’较高的热胁迫抵御能力与热激蛋白(heat shockprotein,HSP)以及热激转录因子(HSF)家族成员基因的超量表达有关。其中月季热激蛋白基因RcHSP18.1的表达水平受高温诱导提高最为显著。在烟草中瞬时沉默HSP18.1后发现,HSP18.1蛋白的表达能够显著提高宿主热胁迫的抵御能力。采用基因枪法对‘安吉拉’月季愈伤组织进行RcHSP18.1过表达以及对植株进行病毒诱导基因沉默,均验证RcHSP18.1对抵御热胁迫提高发挥了重要作用。

关键词：月季热胁迫基因功能

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安眠穴临床应用及机制探讨

中国民间疗法 2024年第13期32卷 7-10页

作者：舒治钧徐义鹏张全怡赵征宇成都中医药大学四川成都610075

安眠穴临床应用广泛,疗效显著,但作用机制尚不明确。该文总结分析安眠穴源流、定位、主治及临床应用,并从中医学、现代医学两方面探究安眠穴临床作用机制。

关键词：安眠穴临床应用机制探讨

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Fucoidan sulfate from Sargassum fusiforme regulates the SARS-CoV-2 receptor AXL expression in human embryonic lung diploid fibroblast cells

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2023年第11期24卷 1047-1052页

作者： xuqiang ZHOU Weihua JIN Di JIANG yipeng xu Sanying WANG Xinna WU Yunchuang CHANG Huili SU Tianjun ZHU Xiaogang xu Genxiang MAO College of Life Science Zhejiang Chinese Medical UniversityHangzhou310053China Zhejiang Provincial Key Lab of Geriatrics&Geriatrics Institute of Zhejiang Province Department of GeriatricsZhejiang HospitalHangzhou310030China College of Biotechnology and Bioengineering Zhejiang University of TechnologyHangzhou310014China Zhejiang Cancer Hospital the Key Laboratory of Zhejiang Province for Aptamers and TheranosticsInstitute of Basic Medicine and Cancer(IBMC)Chinese Academy of SciencesHangzhou310022China School of Medicine Zhejiang UniversityHangzhou310058China School of Biological and Chemical Engineering Zhejiang University of Science and TechnologyHangzhou310023China

Coronavirus disease 2019(COVID-19)is a global infectious disease that seriously endangers human life and health and affects normal social *** the pandemic outbreak from December 2019 to February 2023,the total number of confirmed cases has exceeded 753 million,and the deaths caused by COVID-19 have reached 6.6 million(https://***;accessed on Feb.16,2023).

关键词： Sargassum lung cases

Simulating androgen receptor selection in designer yeast

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Synthetic and Systems Biotechnology 2022年第4期7卷 1108-1116页

作者： Haoran Zhang Lu Zhang yipeng xu Shaoyong Chen Zhenyi Ma Mingdong Yao Fangyin Li Bo Li Yingjin Yuan Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) Tianjin UniversityTianjin300072PR China School of Chemical Engineering and Technology Tianjin UniversityTianjin300072PR China Department of Urology The Cancer Hospital of the University of Chinese Academy of Sciences(Zhejiang Cancer Hospital)HangzhouChina Hematology-Oncology Division Department of MedicineBeth Israel Deaconess Medical Center and Harvard Medical SchoolBostonMA02215USA School of Basic Medical Sciences Tianjin Medical UniversityTianjin300070PR China

Androgen receptor(AR)mutation is closely associated with prostate cancer(PCa)and is one of the mechanisms of resistance to PCa therapies such as AR *** sequencing technologies like next-generation sequencing(NGS)contributes to the high-throughput and precise detection of AR mutations carried by PCa patients,the lack of interpretations of these clinical genetic variants has still been a roadblock for PCa-targeted precision ***,we established a designer yeast reporter assay to simulate natural androgen receptor(AR)selection using AR *** HIS3 gene transactivation was associated with the ligand-induced recruitment of steroid receptor coactivator-1(SRC-1)by AR mutants,where yeast growth in histidine-free medium was determined as the *** assay is applicable to determine a wide range of clinical AR mutants including those with loss of function relating to androgen insensitivity syndrome(AIS),and those associated with PCa conferring resistance to AR antagonists such as enzalutamide(ENZ),bicalutamide(BIC),and cyproterone acetate(CPA).One clinical AR mutant previously reported to confer ENZ-resistance,F877L,was found to confer partial resistance to CPA as well using designer *** simple and efficient assay can enable precise one-pot screening of AR mutants,providing a reference for tailored medicine.

关键词： Androgen receptor mutations Androgen receptor antagonists Prostate cancer Saccharomyces cerevisiae

Saddlepoint Approximation Method in Reliability Analysis:A Review

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2329-2359页

作者： Debiao Meng yipeng Guo Yihe xu Shiyuan Yang Yongqiang Guo Lidong Pan Xinkai Guo School ofMechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China Institute of Electronic and Information Engineering of UESTC in Guangdong Dongguan523808China Glasgow College University of Electronic Science and Technology of ChinaChengdu611731China Beijing Research Institute of Mechanical&Electrical Technology Ltd.Beijing100083China

The escalating need for reliability analysis(RA)and reliability-based design optimization(RBDO)within engineering challenges has prompted the advancement of saddlepoint approximationmethods(SAM)tailored for such *** article offers a detailed overview of the general SAM and summarizes the method characteristics ***,recent enhancements in the SAM theoretical framework are ***,the mean value first-order saddlepoint approximation(MVFOSA)bears resemblance to the conceptual framework of the mean value second-order saddlepoint approximation(MVSOSA);the latter serves as an auxiliary approach to the *** distinction is rooted in the varying expansion orders of the performance function as implemented through the Taylor *** the saddlepoint approximation and third-moment(SATM)and saddlepoint approximation and fourth-moment(SAFM)strategies model the cumulant generating function(CGF)by leveraging the initial random moments of the *** their optimal application domains diverge,each method consistently ensures superior relative precision,enhanced efficiency,and sustained *** method elucidated is exemplified through pertinent RA or RBDO *** juxtaposing them against alternative strategies,the efficacy of these methods becomes *** outcomes proffered are subsequently employed as a foundation for contemplating prospective theoretical and practical research endeavors concerning *** main purpose and value of this article is to review the SAM and reliability-related issues,which can provide some reference and inspiration for future research scholars in this field.

关键词： Reliability analysis reliability-based design optimization saddlepoint approximation

Low rank optimization for efficient deep learning:making a balance between compact architecture and fast training

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Journal of Systems Engineering and Electronics 2024年第3期35卷 509-531,F0002页

作者： OU Xinwei CHEN Zhangxin ZHU Ce LIU yipeng School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

Deep neural networks(DNNs)have achieved great success in many data processing ***,high computational complexity and storage cost make deep learning difficult to be used on resource-constrained devices,and it is not environmental-friendly with much power *** this paper,we focus on low-rank optimization for efficient deep learning *** the space domain,DNNs are compressed by low rank approximation of the network parameters,which directly reduces the storage requirement with a smaller number of network *** the time domain,the network parameters can be trained in a few subspaces,which enables efficient training for fast *** model compression in the spatial domain is summarized into three categories as pre-train,pre-set,and compression-aware methods,*** a series of integrable techniques discussed,such as sparse pruning,quantization,and entropy coding,we can ensemble them in an integration framework with lower computational complexity and *** addition to summary of recent technical advances,we have two findings for motivating future *** is that the effective rank,derived from the Shannon entropy of the normalized singular values,outperforms other conventional sparse measures such as the?_1 norm for network *** other is a spatial and temporal balance for tensorized neural *** accelerating the training of tensorized neural networks,it is crucial to leverage redundancy for both model compression and subspace training.

关键词： model compression subspace training effective rank low rank tensor optimization efficient deep learning

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浙江省高等教育绩效拨款改革述评

高校教育管理 2015年第4期9卷 35-43页

作者：徐毅鹏杭州电子科技大学教务处浙江杭州310018 浙江大学教育学院浙江杭州310028

绩效拨款是世界各国高等教育财政改革的方向之一,但在中国只有少数省份试图将绩效评价结果作为高校财政拨款的依据。在高等教育从规模向质量发展的转型期,浙江省在全国较早实施了以教学质量评估结果为基础的高校拨款政策,在我国地方高... 详细信息

绩效拨款是世界各国高等教育财政改革的方向之一,但在中国只有少数省份试图将绩效评价结果作为高校财政拨款的依据。在高等教育从规模向质量发展的转型期,浙江省在全国较早实施了以教学质量评估结果为基础的高校拨款政策,在我国地方高等教育绩效拨款改革方面做出了有益的探索。通过梳理浙江省本科高校绩效拨款的改革逻辑与举措,评析其利弊得失,可为深化我国高等教育公共财政支出的绩效改革提供借鉴。

关键词：浙江省绩效拨款省级高等教育教学评估