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Glibenclamide pretreatment attenuates early hematoma expansion of warfarin-associated intracerebral hemorrhage in rats by alleviating perihematomal blood-brain barrier dysfunction

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Chinese Neurosurgical Journal 2024年第1期10卷 8-19页

作者： zongwei zeng Liang Liang Zhou Feng Peiwen Guo Xiaoke Hao Jishu Xian Hua Feng Yujie Chen Zhi Chen Department of Neurosurgery and State Key Laboratory of Trauma Burn and Combined InjurySouthwest HospitalThird Military Medical University(Army Medical University)Chongqing 400038China Department of Neurosurgery The 945Th Hospital of PLAYaanSichuan Province 625099China Department of Rehabilitation Southwest HospitalThird Military Medical University(Army Medical University)Chongqing 400038China Chongqing Key Laboratory of Precision Neuromedicine and Neuroregeneration Southwest HospitalThird Military Medical University(Army Medical University)Chongqing 400038China Chongqing Clinical Research Center for Neurosurgery Southwest HospitalThird Military Medical University(Army Medical University)Chongqing 400038China

Background Hematoma expansion is a determinant of poor outcome of intracerebral hemorrhage but occurs frequently,especially in warfarin-associated intracerebral hemorrhage(W-ICH).In the present study,we employ the warfarin-associated intracerebral hemorrhage(W-ICH)rat model,to explore the efficacy and potential mechanism of glibenclamide pretreatment on hematoma expansion after intracerebral hemorrhage,hoping to provide proof of concept that glibenclamide in stroke primary and secondary prevention is also potentially beneficial for intracerebral hemorrhage patients at early stage.Methods In the present study,we tested whether glibenclamide,a common hypoglycemic drug,could attenuate hematoma expansion in a rat model of W-ICH.Hematoma expansion was evaluated using magnetic resonance imaging;brain injury was evaluated by brain edema and neuronal death;and functional outcome was evaluated by neurological scores.Then blood-brain barrier integrity was assessed using Evans blue extravasation and tight junction-related protein.Results The data indicated that glibenclamide pretreatment significantly attenuated hematoma expansion at 24 h after W-ICH,thus mitigating brain edema and neuronal death and promoting neurological function recovery,which may benefit from alleviating blood-brain barrier disruption by suppressing matrix metallopeptidase-9.Conclusions The results indicate that glibenclamide pretreatment in stroke primary and secondary prevention might be a promising therapy for hematoma expansion at the early stage of W-ICH.

关键词： Intracerebral hemorrhage Warfarin Glibenclamide Hematoma expansion Blood-brain barrier Matrix metallopeptidase-9

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Application of machine learning algorithms to screen potential biomarkers under cadmium exposure based on human urine metabolic profiles

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Chinese Chemical Letters 2022年第12期33卷 5184-5188页

作者： Ting zeng Yanshan Liang Qingyuan Dai Jinglin Tian Jinyao Chen Bo Lei Zhu Yang zongwei Cai Food Science and Technology Program Beijing Normal University-Hong Kong Baptist University United International CollegeZhuhai 519087China State Key Laboratory of Environmental and Biological Analysis Department of ChemistryHong Kong Baptist UniversityHong KongChina Department of Nutrition Food Safety and ToxicologyWest China School of Public HealthSichuan UniversityChengdu 610041China

Exposure to environmental cadmium increases the health risk of residents.Early urine metabolic detection using high-resolution mass spectrometry and machine learning algorithms would be advantageous to predict the adverse health effects.Here,we conducted machine learning approaches to screen potential biomarkers under cadmium exposure in 403 urine samples.In positive and negative ionization mode,4207 and 3558 features were extracted,respectively.We compared seven machine learning algorithms and found that the extreme gradient boosting(XGBoost)and random forest(RF)classifiers showed better accuracy and predictive performance than others.Following 5-fold cross-validation,the value of area under curve(AUC)was both 0.93 for positive and negative ionization modes in XGBoost classifier.In the RF classifier,AUC were 0.80 and 0.84 for positive and negative ionization modes,respectively.We then identified a biomarker panel based on XGBoost and RF classifiers.The incorporation of machine learning models into urine analysis using high-resolution mass spectrometry could allow a convenient assessment of cadmium exposure.

关键词： Human urine High-resolution mass spectrometry Cadmium exposure Metabolic profiles Machine learning

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Genetic algorithm-optimized backpropagation neural network establishes a diagnostic prediction model for diabetic nephropathy:Combined machine learning and experimental validation in mice

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BIOCELL 2023年第6期47卷 1253-1263页

作者： WEI LIANG zongwei ZHANG KEJU YANG HONGTU HU QIANG LUO ANKANG YANG LI CHANG YUANYUAN zeng Division of Nephrology Renmin Hospital of Wuhan UniversityWuhanChina Nephrology and Urology Research Institute of Wuhan University WuhanChina The First College of Clinical Medical Science Three Gorges UniversityYichangChina School of Life Science and Engineering Southwest Jiaotong UniversityChengduChina

Background:Diabetic nephropathy(DN)is the most common complication of type 2 diabetes mellitus and the main cause of end-stage renal disease worldwide.Diagnostic biomarkers may allow early diagnosis and treatment of DN to reduce the prevalence and delay the development of DN.Kidney biopsy is the gold standard for diagnosing DN;however,its invasive character is its primary limitation.The machine learning approach provides a non-invasive and specific criterion for diagnosing DN,although traditional machine learning algorithms need to be improved to enhance diagnostic performance.Methods:We applied high-throughput RNA sequencing to obtain the genes related to DN tubular tissues and normal tubular tissues of mice.Then machine learning algorithms,random forest,LASSO logistic regression,and principal component analysis were used to identify key genes(CES1G,CYP4A14,NDUFA4,ABCC4,ACE).Then,the genetic algorithm-optimized backpropagation neural network(GA-BPNN)was used to improve the DN diagnostic model.Results:The AUC value of the GA-BPNN model in the training dataset was 0.83,and the AUC value of the model in the validation dataset was 0.81,while the AUC values of the SVM model in the training dataset and external validation dataset were 0.756 and 0.650,respectively.Thus,this GA-BPNN gave better values than the traditional SVM model.This diagnosis model may aim for personalized diagnosis and treatment of patients with DN.Immunohistochemical staining further confirmed that the tissue and cell expression of NADH dehydrogenase(ubiquinone)1 alpha subcomplex,4-like 2(NDUFA4L2)in tubular tissue in DN mice were decreased.Conclusion:The GA-BPNN model has better accuracy than the traditional SVM model and may provide an effective tool for diagnosing DN.

关键词： Diabetic nephropathy Renal tubule Machine learning Diagnostic model Genetic algorithm

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Planar-symmetry-breaking induced antisymmetric magnetoresistance in van der Waals ferromagnet Fe_(3)GeTe_(2)

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Nano Research 2022年第3期15卷 2531-2536页

作者： Ping Liu Caixing Liu Zhi Wang Meng Huang Guojing Hu Junxiang Xiang Chao Feng Chen Chen zongwei Ma Xudong Cui Hualing zeng Zhigao Sheng Yalin Lu Gen Yin Gong Chen Kai Liu Bin Xiang Hefei National Laboratory for Physical Sciences at the Microscale Department of Materials Science&EngineeringCAS Key Lab of Materials for Energy ConversionUniversity of Science and Technology of ChinaHefei 230026China School of Science Nanjing University of Posts and TelecommunicationsNanjing 210023China Anhui Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field LaboratoryChinese Academy of SciencesHefei 230031China Sichuan New Materials Research Center Institute of Chemical MaterialsCAEPChengdu 610200China Anhui Laboratory of Advanced Photon Science and Technology University of Science and Technology of ChinaHefei 230026China Physics Department Georgetown UniversityWashingtonDC 20057USA

Recently discovered magnetic van der Waals(vdW)materials provide an ideal platform to explore low-dimensional magnetism and spin transport.Its vdW interaction nature opens up unprecedented opportunities to build vertically stacked heterostructures with novel properties and functionalities.By engineering the planar structure as an alternative degree of freedom,herein we demonstrate an antisymmetric magnetoresistance(MR)in a vdW Fe_(3)GeTe_(2)flake with a step terrace that breaks the planar symmetry.This antisymmetric MR originates from a sign change of the anomalous Hall effect and the continuity of the current transport near the boundary of magnetic domains at the step edge.A repeatable domain wall due to the unsynchronized magnetization switching is responsible for this sign change.Such interpretation is supported by the observation of field-dependent domain switching,and the step thickness,temperature,and magnetic field orientation dependent MR.This work opens up new opportunities to encode magnetic information by controlling the planar domain structures in vdW magnets.

关键词： 2D magnetism Fe_(3)GeTe_(2) planar structure engineering antisymmetric magnetoresistance

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新生儿胆红素脑病磁共振成像及波谱诊断价值研究

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国际医药卫生导报 2022年第22期28卷 3180-3185页

作者：严宗伟曾燕妮广州市花都区人民医院放射科广州510800

目的探讨新生儿胆红素脑病的磁共振成像(MRI)和氢质子波谱特征以及其临床诊断价值。方法收集2016年1月至2020年4月广州市花都区人民医院22例新生儿胆红素脑病患儿,对照组为正常足月新生儿共20例,分别进行常规MRI扫描和双侧苍白球氢质子... 详细信息

目的探讨新生儿胆红素脑病的磁共振成像(MRI)和氢质子波谱特征以及其临床诊断价值。方法收集2016年1月至2020年4月广州市花都区人民医院22例新生儿胆红素脑病患儿,对照组为正常足月新生儿共20例,分别进行常规MRI扫描和双侧苍白球氢质子磁共振波谱(1H-MRS)分析。由2位放射科副主任医生阅片,评价两组新生儿的常规MRI图像特征。采用PRESS脉冲序列获得双侧苍白球的1H-MRS数据,对两组新生儿乙酰天门冬氨酸(NAA)、肌酸(Cr)、胆碱(Cho)、NAA/Cr、NAA/Cho、Cho/Cr等值进行统计学分析,42例新生儿的MRS各项数值NAA、Cr、Cho、NAA/Cr、Cho/Cr、NAA/Cho比值与血清总胆红素(TSB)峰值分别进行双变量相关性分析。采用F检验、独立样本t检验、Pearson相关性分析。结果胆红素脑病组日龄(7.4±2.6)d,胎龄(37.89±2.1)周;对照组日龄(9.2±4.8)d,胎龄(38.6±1.9)周。22例胆红素脑病患儿中,18例(81.8%)在双侧苍白球中出现T1加权成像(T1WI)图像异常高信号,12例(54.5%)相应部位T2加权成像液体衰减反转恢复序列(T2WIFLAIR)信号轻度增高。胆红素脑病组双侧苍白球MRS与对照组相比,NAA、NAA/Cho、NAA/Cr比值显著降低,两组间差异均有统计学意义(均P<0.05)。结论MRI结合1H-MRS是新生儿胆红素脑病的重要辅助诊断方法。

关键词：胆红素脑病 MRI 磁共振波谱新生儿

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壳聚糖/聚乙烯醇的流变行为及其可纺性研究

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林产化学与工业 2023年第5期43卷 25-31页

作者：曾文超孙浩东张宗威李建国陈礼辉福建农林大学材料工程学院福建福州350108 植物纤维功能材料国家林业和草原局重点实验室福建福州350108

采用乙酸(HAc)作为溶剂,配制壳聚糖(CS)/聚乙烯醇(PVA)纺丝液,探究纺丝液稳态流变和动态流变性能并考察其静电纺丝的可行性。研究结果表明:随着CS质量分数的增加,纺丝液的稠度系数、结构黏度指数、表观黏度、储能模量(G′)、损耗模量(G... 详细信息

采用乙酸(HAc)作为溶剂,配制壳聚糖(CS)/聚乙烯醇(PVA)纺丝液,探究纺丝液稳态流变和动态流变性能并考察其静电纺丝的可行性。研究结果表明:随着CS质量分数的增加,纺丝液的稠度系数、结构黏度指数、表观黏度、储能模量(G′)、损耗模量(G″)和复合黏度(η*)均相应增加,非牛顿指数相应减小,不利于CS/PVA纺丝液静电纺丝。随着测试温度的增加,纺丝液的稠度系数、结构黏度指数、表观黏度、G′、G″和η*均相应减小,非牛顿指数相应增加,纺丝液流动性能加强,可纺性提升。当CS质量分数为3.0%时,纺丝液在测试温度30℃下的稠度系数和结构黏度指数均较小,分别为7.9781和2.16,且非牛顿指数为0.8877接近于1,表明该纺丝液具有良好的流动性和加工性。结合SEM和流变行为分析,在室温条件下CS质量分数为3.0%的CS/PVA纺丝液呈现优异的可纺性,可以构建连续、均匀且不带珠状连结的纳米纤维。

关键词：壳聚糖稳态流变性能动态流变性能静电纺丝纳米纤维

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Urine biomarkers discovery by metabolomics and machine learning for Parkinson’s disease diagnoses

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Chinese Chemical Letters 2023年第10期34卷 93-97页

作者： Xiaoxiao Wang Xinran Hao Jie Yan Ji Xu Dandan Hu Fenfen Ji Ting zeng Fuyue Wang Bolun Wang Jiacheng Fang Jing Ji Hemi Luan Yanjun Hong Yanhao Zhang Jinyao Chen Min Li Zhu Yang Doudou Zhang Wenlan Liu Xiaodong Cai zongwei Cai State Key Laboratory of Environmental and Biological Analysis Department of ChemistryHong Kong Baptist UniversityHong KongChina Department of Neurosurgery Shenzhen Key Laboratory of Neurosurgerythe First Affiliated Hospital of Shenzhen UniversityShenzhen Second People’s HospitalShenzhen 518035China The Central Laboratory the First Affiliated Hospital of Shenzhen UniversityShenzhen Second People’s HospitalShenzhen 518035China Department of Nutrition Food Safety and ToxicologyWest China School of Public HealthSichuan UniversityChengdu 610041China Mr.and Mrs.Ko Chi Ming Centre for Parkinson’s Disease Research School of Chinese MedicineHong Kong Baptist UniversityHong KongChina

Parkinson’s disease(PD)is a complex neurological disorder that typically worsens with age.A wide range of pathologies makes PD a very heterogeneous condition,and there are currently no reliable diagnostic tests for this disease.The application of metabolomics to the study of PD has the potential to identify disease biomarkers through the systematic evaluation of metabolites.In this study,urine metabolic profiles of 215 urine samples from 104 PD patients and 111 healthy individuals were assessed based on liquid chromatography-mass spectrometry.The urine metabolic profile was first evaluated with partial leastsquares discriminant analysis,and then we integrated the metabolomic data with ensemble machine learning techniques using the voting strategy to achieve better predictive performance.A combination of 8-metabolite predictive panel performed well with an accuracy of over 90.7%.Compared to control subjects,PD patients had higher levels of 3-methoxytyramine,N-acetyl-l-tyrosine,orotic acid,uric acid,vanillic acid,and xanthine,and lower levels of 3,3-dimethylglutaric acid and imidazolelactic acid in their urine.The multi-metabolite prediction model developed in this study can serve as an initial point for future clinical studies.

关键词： Parkinson’s disease High-resolution mass spectrometry Biomarker Metabolomic Machine learning

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不同应力水平下湖相软土流变特性研究

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工业建筑 2014年第6期44卷 67-72页

作者：邓宗伟朱志祥曾向军孔纲强湖南城市学院土木工程学院湖南益阳413000 中南大学土木建筑学院长沙4100753

为探明湖相软土在不同应力水平下的流变特性,以洞庭湖区软土为研究对象,进行室内一维固结流变试验,建立了在侧限条件下的流变本构模型,并根据拟合的流变本构模型推导了一维固结情况下的解析解。结果表明:洞庭湖软土具有明显的非线性蠕... 详细信息

为探明湖相软土在不同应力水平下的流变特性,以洞庭湖区软土为研究对象,进行室内一维固结流变试验,建立了在侧限条件下的流变本构模型,并根据拟合的流变本构模型推导了一维固结情况下的解析解。结果表明:洞庭湖软土具有明显的非线性蠕变特征,当应力水平低于某应力阈值时,软土的流变特性服从Schiffman模型规律,软土固结速度较慢;当应力水平高于某应力阈值时,软土的流变特性服从西原模型规律,软土固结速度较快,并且固结速度随着应力阈值的增加而加快。因此,对湖相软土地区的工程建设,应根据软土的工程性质与所施加的荷载水平而采用不同的沉降计算方法与工程处理措施。

关键词：湖相软土应力水平流变特性解析解

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循环荷载下湖相软土动力特性研究

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工业建筑 2015年第3期45卷 109-114,108页

作者：曾向军邓宗伟高乾丰朱志祥聂如松湖南城市学院土木工程学院湖南益阳413000 湘潭大学土木工程与力学学院湖南湘潭411105 中南大学土木工程学院长沙410075

以洞庭湖区沉积软土为对象进行循环振动三轴试验,研究不同动应力幅值、振动频率和围压下湖相软土的动力特性。结果表明:湖相软土轴向累积应变多呈稳定型增长,动应力幅值越大,累积应变越大,振动频率或围压越大,累积应变越小;动孔隙水压... 详细信息

以洞庭湖区沉积软土为对象进行循环振动三轴试验,研究不同动应力幅值、振动频率和围压下湖相软土的动力特性。结果表明:湖相软土轴向累积应变多呈稳定型增长,动应力幅值越大,累积应变越大,振动频率或围压越大,累积应变越小;动孔隙水压力随动应力幅值的增大而增大,受振动频率的影响较小,同时随围压的变化规律不统一,有待进一步研究;动应力幅值或振动频率越大,动弹性模量越小,围压越大,动弹性模量越大,且动弹性模量随振动次数的增加存在衰减现象,衰减规律亦受动应力幅值、振动频率和围压的影响。道路运营初期是软基沉降控制的关键阶段,为减小软基沉降,应特别重视对浅层软土的处理,并严格控制车载质量和车速。

关键词：循环荷载湖相软土动力特性动三轴试验路基沉降

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动态增强MRI鉴别长骨中心型高低级别软骨肉瘤的价值

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国际医学放射学杂志 2019年第5期42卷 526-530页

作者：谭敏仪曾燕妮袁强吴志成严宗伟广州市花都区人民医院放射科

目的探讨可否通过常规MRI和动态增强时间信号强度曲线(TIC)鉴别高、低级别软骨肉瘤。方法回顾性分析38例经手术病理证实的长骨中心型软骨肉瘤病人。低级别组20例,男女各10例,平均年龄(48±8)岁;高级别组18例,男8例,女10例,平均年龄(61... 详细信息

目的探讨可否通过常规MRI和动态增强时间信号强度曲线(TIC)鉴别高、低级别软骨肉瘤。方法回顾性分析38例经手术病理证实的长骨中心型软骨肉瘤病人。低级别组20例,男女各10例,平均年龄(48±8)岁;高级别组18例,男8例,女10例,平均年龄(61±7)岁。全部病人均行常规MRI和动态增强MRI(DCE-MRI)检查,对肿瘤MRI影像征象进行评估,包括标准MRI影像和通过后处理软件观察肿瘤的强化模式和TIC类型。采用t检验比较2组肿瘤最长径,Fisher精确检验比较高低级别软骨肉瘤组间TIC类型分布差异。结果低级别组和高级别组的肿瘤最长径分别为(7.3±5.8) cm、(13.1±6.4) cm,差异有统计学意义(t=3.084,P=0.004)。低级别软骨肉瘤的肿瘤强化程度轻且强化缓慢,边缘轻度线状强化或无明显强化, TIC曲线分布以Ⅰ型(13例,65.0%)、Ⅱ型(5例,25.0%)为主。高级别软骨肉瘤早期即出现结节状、花环状显著强化,强化持续时间长,TIC曲线分布以Ⅱ型(4例,22.2%)、Ⅲ型(11例,61.1%)为主。2组TIC分布差异具有统计学意义(P=0.02)。结论常规MRI和动态增强MRI是鉴别长骨高低级别软骨肉瘤的重要辅助手段,可有助于鉴别高低级别软骨肉瘤。

关键词：动态增强磁共振成像时间信号强度曲线软骨肉瘤

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