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Assay of Biomarkers for Alzheimer's Disease by Surface Plasmon Resonance

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Journal of Analysis and Testing 2024年第03期8卷 251-261页

作者： Xinyao Yi Huihui Chen Yuhan He Jianxiu Wang Hunan Provincial Key Laboratory of Micro and Nano Materials Interface Science College of Chemistry and Chemical EngineeringCentral South University

Alzheimer's disease(AD) is one of the neurodegenerative diseases characterized by cognitive dysfunction and behavioral impairment. Early diagnosis of AD serves as a viable means to avoid the onset and progression of the disease. Due to the remarkably lower expression levels of AD biomarkers in cerebrospinal fluids and serum samples, sensitive and specific analytical methods are highly demanded. Surface plasmon resonance(SPR) is ultrasensitive to the refractive index or thickness change at the metal surface, which enables real-time and label-free assay of target biomolecules. In this review, we summarize the advances on assay of AD biomarkers including amyloid beta, tau protein, apoE proteins and apoE genes, and BACE1 by SPR, with emphasis on the analytical performances concerning anti-fouling and signal amplification strategies and real sample applications.

关键词： Alzheimer’s disease amyloid beta apoE BACE1 Surface plasmon resonance Tau protein

A comprehensive comparison of different regression techniques and nature-inspired optimization algorithms to predict carbonation depth of recycled aggregate concrete

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Frontiers of Structural and Civil Engineering 2024年第1期18卷 30-50页

作者： Bin XI Ning ZHANG Enming LI Jiabin LI Jian ZHOU Pablo SEGARRA Department of Civil and Environmental Engineering Politecnico Di MilanoMilano 20133Italy Leibniz Institute of Ecological Urban and Regional Development(IOER) Dresden 01217Germany Universidad Politécnica de Madrid-ETSI Minas y Energía Madrid 28003Spain Department of Civil Engineering KU Leuven CampusBrugge 8200Belgium School of Resources and Safety Engineering Central South UniversityChangsha 410083China

The utilization of recycled aggregates(RA)for concrete production has the potential to offer substantial environmental and economic ***,RA concrete is plagued with considerable durability concerns,particularly *** advance the application of RA concrete,the establishment of a reliable model for predicting the carbonation is *** the one hand,concrete carbonation is a long and slow process and thus consumes a lot of time and energy to *** the other hand,carbonation is influenced by many factors and is hard to *** this,this paper proposes the use of machine learning techniques to establish accurate prediction models for the carbonation depth(CD)of RA *** types of regression techniques and meta-heuristic algorithms were employed to provide more alternative predictive *** was found that the best prediction performance was obtained from extreme gradient boosting-multi-universe optimizer(XGB-MVO)with R^(2) value of 0.9949 and 0.9398 for training and testing sets,***-MVO was used for evaluating physical laws of carbonation and it was found that the developed XGB-MVO model could provide reasonable predictions when new data were *** also showed better generalization capabilities when compared with different models in the ***,this paper emphasizes the need for sustainable solutions in the construction industry to reduce its environmental impact and contribute to sustainable and low-carbon economies.

关键词： recycled aggregate concrete carbonation depth nature-inspired optimization algorithms extreme gradient boosting technique parametric analysis

Artificial intelligence optimization and controllable slow-release iron sulfide realizes efficient separation of copper and arsenic in strongly acidic wastewater

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Journal of Environmental Sciences 2024年第5期139卷 293-307页

作者： Xingfei Zhang Chenglong Lu Jia Tian Liqiang Zeng Yufeng Wang Wei Sun Haisheng Han Jianhua Kang School of Minerals Processing and Bioengineering Central South UniversityChangsha 410083China Centre for Mined Land Rehabilitation Sustainable Minerals InstituteThe University of QueenslandBrisbane 4072Australia

Iron sulfide(FeS)is a promising material for separating copper and arsenic from strongly acidic wastewater due to its S^(2-)slow-release ***,uncertainties arise because of the constant changes in wastewater composition,affecting the selection of operating parameters and FeS *** this study,the aging method was first used to prepare various controllable FeS nanoparticles to weaken the arsenic removal ability without affecting the copper *** experiments were conducted,and the results identified the Cu/As ratio,H_(2)SO_(4) concentration,and FeS dosage as the three main factors influencing the separation *** backpropagation artificial neural network(BP-ANN)model was established to determine the relationship between the influencing factors and the separation *** correlation coefficient(R)of overall model was 0.9923 after optimizing using genetic algorithm(GA).The BP-GA model was also solved using GA under specific constraints,predicting the best solution for the separation process in *** predicted results show that the high temperature and long aging time of FeS were necessary to gain high separation efficiency,and the maximum separation factor can reached 1,*** study provides a suitable sulfurizing material and a set of methods and models with robust flexibility that can successfully predict the separation efficiency of copper and arsenic from highly acidic environments.

关键词： FeS nanoparticles Aging Sulfide precipitation Orthogonal experiment Artificial neural network Prediction

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Lithium Isotope Analytical Methods and Implications for Rare-Metal Mineralization in Granite-Pegmatite Systems: An Overview

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Journal of Earth Science 2024年

作者： Xiang-Ying Ye Bin Li Dong-Bo Tan Ke-Cheng Liu Zhi-Yong Zhu Hafiz Muhammad Siddique Yi-Lin Xiao Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education)， School of Geosciences and Info-physics， central south university CAS Key Laboratory of Geospace Environment and Department of Plasma Physics and Fusion Engineering， university of Science and Technology of China Institute of Geology， Chinese Academy of Geological Sciences CAS Key Laboratory of Crust-Mantle Materials and Environments， School of Earth and Space Sciences， university of Science and Technology of China Chinese Academy of Sciences Center of Excellence in Comparative planetology

The origin of highly-fractionated granite-pegmatite systems and their associated rare metal mineralization has been widely studied， but there is still ongoing debate. Prevailing hypotheses suggest that pegmatite formation and the associated rare metal mineralization are closely related to aqueous fluid processes. Lithium (Li) isotope analysis has been widely applied to trace granite-pegmatite evolution. This is because lithium is widely present in various minerals (e.g.， mica， tourmaline) that record the melt and fluid compositions， and lithium isotopes are sensitive to magmatic-hydrothermal processes. We briefly review the methodology of Li isotope analyses， the mechanisms of Li isotopic fractionation， and， in particular， Li isotope fractionation in granite-pegmatite system based on Li isotope data we have collected and the latest developments in Li isotope geochemistry. With the development of analytical technology， high-precision measurement of the Li content and isotopic compositions have facilitated a series of scientific breakthroughs in understanding the magmatic-hydrothermal evolution of rare-element ore deposits. Li isotope analysis on bulk mineral separates show ability to trace various hydrothermal processes (e.g. exotic or exsolved fluids). In situ Li isotope analysis methods has been enhanced by the development of new， homogeneous mineral reference materials. In situ SIMS and LA-MC-ICP-MS Li isotope measurements on minerals (e.g.， tourmaline) will likely become more important in studying the fluid–rock interactions in magmatic， metamorphic， and hydrothermal processes， as well as on pegmatite petrogenesis and rare-metal mineralization.

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PCDH17 restricts dendritic spine morphogenesis by regulating ROCK2-dependent control of the actin cytoskeleton,modulating emotional behavior

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Zoological Research 2024年第3期45卷 535-550页

作者： Laidong Yu Fangfang Zeng Mengshu Fan Kexuan Zhang Jingjing Duan Yalu Tan Panlin Liao Jin Wen Chenyu Wang Meilin Wang Jialong Yuan Xinxin Pang Yan Huang Yangzhou Zhang Jia-Da Li Zhuohua Zhang Zhonghua Hu Hunan Key Laboratory of Molecular Precision Medicine Department of Critical Care MedicineXiangya HospitalCentral South UniversityChangshaHunan 410008China Center for Medical Genetics and Hunan Key Laboratory of Medical Genetics School of Life SciencesCentral South UniversityChangshaHunan 410008China National Clinical Research Center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangshaHunan 410008China Hunan Provincial Clinical Research Center for Critical Care Medicine Xiangya HospitalCentral South UniversityChangshaHunan 410008China Hunan Key Laboratory of Animal Models for Human Diseases School of Life SciencesCentral South UniversityChangshaHunan 410008China MOE Key Lab of Rare Pediatric Diseases School of Life SciencesCentral South UniversityChangshaHunan 410008China Department of Neurosciences University of South China Medical SchoolHengyangHunan 421001China

Proper regulation of synapse formation and elimination is critical for establishing mature neuronal circuits and maintaining brain *** abnormalities,such as defects in the density and morphology of postsynaptic dendritic spines,underlie the pathology of various neuropsychiatric *** 17(PCDH17)is associated with major mood disorders,including bipolar disorder and ***,the molecular mechanisms by which PCDH17 regulates spine number,morphology,and behavior remain *** this study,we found that PCDH17 functions at postsynaptic sites,restricting the number and size of dendritic spines in excitatory *** overexpression of PCDH17 in the ventral hippocampal CA1 results in spine loss and anxiety-and depression-like behaviors in ***,PCDH17 interacts with actin-relevant proteins and regulates actin filament(F-actin)***,PCDH17 binds to ROCK2,increasing its expression and subsequently enhancing the activity of downstream targets such as LIMK1 and the phosphorylation of cofilin serine-3(Ser3).Inhibition of ROCK2 activity with belumosudil(KD025)ameliorates the defective F-actin organization and spine structure induced by PCDH17 overexpression,suggesting that ROCK2 mediates the effects of PCDH17 on F-actin content and spine ***,these findings reveal a novel mechanism by which PCDH17 regulates synapse development and behavior,providing pathological insights into the neurobiological basis of mood disorders.

关键词： Synapse development Dendritic spine Mood disorder Actin cytoskeleton Animal behavior

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A multi-feature-based intelligent redundancy elimination scheme for cloud-assisted health systems

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 491-510页

作者： Ling Xiao Beiji Zou Xiaoyan Kui Chengzhang Zhu Wensheng Zhang Xuebing Yang Bob Zhang School of Computer Science and Engineering Central South UniversityChangshaChina Hunan Engineering Research Center of Machine Vision and Intelligent Medicine Central South UniversityChangshaChina The College of Literature and Journalism Central South UniversityChangshaChina Institute of Automation Chinese Academy of SciencesBeijingChina Department of Computer and Information Science University of MacaoMacaoChina

Redundancy elimination techniques are extensively investigated to reduce storage overheads for cloud-assisted health *** eliminates the redundancy of duplicate blocks by storing one physical instance referenced by multiple *** compression is usually regarded as a complementary technique to deduplication to further remove the redundancy of similar blocks,but our observations indicate that this is disobedient when data have sparse duplicate *** addition,there are many overlapped deltas in the resemblance detection process of post-deduplication delta compression,which hinders the efficiency of delta compression and the index phase of resemblance detection inquires abundant non-similar blocks,resulting in inefficient system ***,a multi-feature-based redundancy elimination scheme,called MFRE,is proposed to solve these *** similarity feature and temporal locality feature are excavated to assist redundancy elimination where the similarity feature well expresses the duplicate ***,similarity-based dynamic post-deduplication delta compression and temporal locality-based dynamic delta compression discover more similar base blocks to minimise overlapped deltas and improve compression ***,the clustering method based on block-relationship and the feature index strategy based on bloom filters reduce IO overheads and improve system *** demonstrate that the proposed method,compared to the state-of-the-art method,improves the compression ratio and system throughput by 9.68%and 50%,respectively.

关键词： big data cloud computing compression data compression medical applications performance evaluation

Improving Semi-Dried Brown Rice Noodle Quality via Mixed Fermentation of Lactobacillus and Yeast

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Rice science 2024年第5期31卷 489-493,I0001-I0005页

作者： LUO Lijuan CHENG Zixuan QIAO Fan XIONG Gangping LIU Jun HUANG Qingming LI Jiangtao LIN Qinlu LIU Chun National Engineering Research Center for Rice and By-product Deep Processing School of Food Science and EngineeringCentral South University of Forestry and TechnologyChangsha 410004China College of Food Science and Technology Huazhong Agricultural UniversityWuhan 430070China Hunan Zhunong Rice Industry Co. Ltd.Yiyang 413000China

To address the coarse texture and poor cooking quality of brown rice flour,we employed fermentation using lactobacillus and yeast in varying *** fermented flour from early indica rice Pear 13 was then processed into s... 详细信息

关键词： dried cooking Yeast

Exploration of the mechanism of cavitation vortex rope and vortex development in the draft tube of tubular turbine units

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 163-171,F0002页

作者： Chuang Cheng Zhenggui Li Changrong Shen Shenglong Gu Chuchu Zeng Chuanzheng Bai Meng Liu Junfeng Hu Qinghai university of Science and Technology Xining 810000China Key Laboratory of Fluid and Power Machinery Ministry of Education(Xihua University)Chengdu 610039China south-to-North Water Diversion East Jiangsu Water Source Co. Ltd.Nanjing 210029China School of civil engineering and water resources Qinghai UniversityXining 810016China Dongyuan Branch of Shenzhen Water planning and Design Institute Co. Ltd.Changsha 410000China

Draft tube vortex rope is considered a special cavitation flow phenomenon in tubular turbine *** vortex rope is one of the most detrimental factors affecting the safety of hydraulic *** this study,ANSYS CFX software was utilized to numerically simulate the internal cavitation flow of a hydraulic turbine draft *** evolution of the cavitation vortex core was characterized by vortex line distribution and vorticity transport *** shape and number of blades influenced the revolving direction and distribution characteristics of the vortex close to the runner cone,which formed a counterclockwise-clockwise-counterclockwise distribution ***,there were many secondary flows in the draft *** cancellation and dissipation between the flows was one of the reasons for reduction in *** the cross-sectional shape of the draft tube was changed,the vorticity was distributed from the center of the vortex rope to all parts of the cross-sectional draft tube,with extreme values at the center and at the *** vortex stretching and dilatation terms played a major role in the change in vorticity,with the baroclinic torque having an effect at the center of the vortex rope,this study is helpful to understand the flow of water in the draft tube and guide the design and optimization of the draft tube in engineering application.

关键词： cavitation vortex rope vorticity transport equation vortex line draft tube

Rice bran oil rescues cognitive decline in D-galactose-induced aging mice by inhibiting Aβ accumulation and Tau hyperphosphorylation induced oxidative stress and neuroinflammation

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Food Science and Human Wellness 2024年

作者： Yadan Zhang Diya Xu Xiaoyu Zhang Wenhua Zhou Lin Zhang Qinlu Lin College of Food Science and Engineering， National Engineering Research Center of Rice and Byproduct Deep Processing， Hunan Key Laboratory of Processed Food for Special Medical Purpose， central south university of Forestry and Technology

Alzheimer's disease (AD) is a neurodegenerative disorder associated with brain aging， and the accumulation of amyloid-beta (Aβ) and hyperphosphorylated Tau proteins are key pathological features. Currently， drugs for the treatment of AD are mainly single-targeted， but the complex pathogenesis of AD makes it difficult to achieve the desired results. Therefore， the development of multitargeted therapies is crucial for future interventions. Rice bran oil (RBO) has been recognized as an edible oil with several health benefits， but its effects on AD caused by brain aging remain underexplored. In this study， the effects of RBO on memory dysfunction in D-galactose (D-gal) mice and its molecular mechanisms were investigated via in vivo and in silico methods from the perspective of AD pathologies. Our results suggested that compounds in RBO could modulate the activities of β-site amyloid precursor protein cleaving enzyme 1 (BACE1)， mitogen-activated protein kinase 3 (MAPK3)， matrix metalloproteinase 3 (MMP3)， and intercellular adhesion molecule 1 (ICAM1)， leading to inhibition of Aβ accumulation and Tau protein hyper-phosphorylation. Moreover， RBO reduced Aβ-induced oxidative stress by inhibiting the activity of mouse double minute 2 homolog (MDM2) and cyclic adenosine monophosphate response element binding protein binding protein (CREBBP)， and attenuated neuroinflammation by inhibiting the activity of nitric oxide synthase 2 (NOS2) and reducing Aβ accumulation and Tau protein hyperphosphorylation. Additionally， α-linolenic acid in RBO exhibited inhibitory effects on D-gal-induced apoptosis in PC12 cells through modulation of NOS2， MDM2， ICAM1， and phospho-extracellular signal-regulated kinase 1/2 (p-ERK1/2). Similarly， stigmastanol inhibited apoptosis in D-gal-induced PC12 cells through the regulation of NOS2. Thus， RBO can be considered as a potential functional food to attenuate AD owing to its multicomponent and multitarget effects.

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