Wind-induced circulation is the main form of lake flow for shallow lakes and plays an important role in algae population distribution.This study constructed a three-dimensional hydrodynamic model(EFDC)of the plateau l...Wind-induced circulation is the main form of lake flow for shallow lakes and plays an important role in algae population distribution.This study constructed a three-dimensional hydrodynamic model(EFDC)of the plateau lake Erhai,China using accuracy wind field observation,runoff data and monthly algae data during 2022–2023.The model successfully reproduced the circulation characteristics of Erhai under prevailing wind directions.The results showed that the lake flow velocity in Lake Erhai is higher in winter than in summer,with lower velocities near shore particularly in the northern and central parts of the lake.There is a negative correlation between algal biomass and flow velocity(FV)in different zones,with lower FV favoring the accumulation of algal biomass,particularly for Microcystis,Dolichospermum,and Peridinium.Additionally,due to buoyancy,cyanobacteria are highly affected by wind direction and tend to accumulate in downwind regions of the prevailing wind direction.This study demonstrates that wind-induced circulation is a crucial factor affecting the spatial distribution of dominant algae populations in shallow plateau lakes with weak hydrodynamic force.Further,the risk of bloom occurrence in Lake Erhai will be higher due to the background of global climate change and the lake’s wind speed decline.In conclusion,we suggest implementing targeted zoning measures to control algal blooms and establishing stricter regulations for nitrogen and phosphorus control to counterbalance the promotion of algal bloom accumulation in low-velocity zones caused by reduced wind speed.展开更多
Alzheimer’s disease is a neurodegenerative disease resulting from deficits in synaptic transmission and homeostasis.The Alzheimer’s disease brain tends to be hyperexcitable and hypersynchronized,thereby causing neur...Alzheimer’s disease is a neurodegenerative disease resulting from deficits in synaptic transmission and homeostasis.The Alzheimer’s disease brain tends to be hyperexcitable and hypersynchronized,thereby causing neurodegeneration and ultimately disrupting the operational abilities in daily life,leaving patients incapacitated.Repetitive transcranial magnetic stimulation is a cost-effective,neuro-modulatory technique used for multiple neurological conditions.Over the past two decades,it has been widely used to predict cognitive decline;identify pathophysiological markers;promote neuroplasticity;and assess brain excitability,plasticity,and connectivity.It has also been applied to patients with dementia,because it can yield facilitatory effects on cognition and promote brain recovery after a neurological insult.However,its therapeutic effectiveness at the molecular and synaptic levels has not been elucidated because of a limited number of studies.This study aimed to characterize the neurobiological changes following repetitive transcranial magnetic stimulation treatment,evaluate its effects on synaptic plasticity,and identify the associated mechanisms.This review essentially focuses on changes in the pathology,amyloidogenesis,and clearance pathways,given that amyloid deposition is a major hypothesis in the pathogenesis of Alzheimer’s disease.Apoptotic mechanisms associated with repetitive transcranial magnetic stimulation procedures and different pathways mediating gene transcription,which are closely related to the neural regeneration process,are also highlighted.Finally,we discuss the outcomes of animal studies in which neuroplasticity is modulated and assessed at the structural and functional levels by using repetitive transcranial magnetic stimulation,with the aim to highlight future directions for better clinical translations.展开更多
Acrylamide(AA)is a harmful substance widely found in infant and child biscuits;however,the health hazards of AA,especially endogenous AA,in the biscuit matrix is poorly understood.This study aimed to determine the eff...Acrylamide(AA)is a harmful substance widely found in infant and child biscuits;however,the health hazards of AA,especially endogenous AA,in the biscuit matrix is poorly understood.This study aimed to determine the effects of endogenous(0.11 mg/(kg bw·day))and exogenous(1.31,5.23,and 10.13 mg/(kg bw·day))AA exposure from biscuit diet on the hematology,hormone levels,immune function,and liver and kidney damage in growing female rat pups.For the hematological indices,a quadratic reduction was observed in percentage of neutrophils(Neu%)and percentage of eosinophils(Eos%)in the leukograms and in mean corpuscular hemoglobin concentration and platelet in the erythrograms in all the AA-exposed groups.In terms of hormones,extremely remarkably elevations in estradiol(E_(2))and growth hormone(GH)levels were associated with exogenous AA,and a significant increase in GH levels was noted in the endogenous AA group.Regarding immune function,endogenous and exogenous AA showed a dose-dependent immunotoxic effect on lysozyme(LYSO),nitric oxide(NO),immunoglobulin(Ig)G,and IgM.In particular,the lactate dehydrogenase(LDH)activity was significantly high in the exogenous medium dose(Exo-M)and exogenous high dose(Exo-H)groups,and the percentage of CD3^(+)T cells in the blood and CD8^(+)expression levels in the spleen were significantly elevated in the Exo-H group.For liver and kidney function,exogenous AA had a dose-dependent effect on alanine aminotransferases(ALT),aspartate transferases(AST),alkaline phosphatase(ALP),urea nitrogen(UREA),and creatinine(CREA-S).In addition to the dose-dependent effect on the pathological changes in the liver and kidneys,the endogenous AA group presented with hepatocellular steatosis,kidney inflammatory infiltrates,and glomerular and tubular atrophy.Overall,our findings suggested the dose-dependent harmful effect of endogenous and exogenous AA.Special attention should be paid to the damage caused by exposure to endogenous AA.Stringent AA intake guidelines and measures are required to minimize AA levels in the food matrix.展开更多
Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging,yet there is limited understanding of gut microbiome variation in advanced age.Here,we performed a metagenom...Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging,yet there is limited understanding of gut microbiome variation in advanced age.Here,we performed a metagenomics-based enterotype analysis in a geographically homogeneous cohort of 367 enrolled Chinese individuals between the ages of 60 and 94 years,with the goal of characterizing the gut microbiome of elderly individuals and identifying factors linked to enterotype variations.In addition to two adult-like enterotypes dominated by Bacteroides(ET-Bacteroides)and Prevotella(ET-Prevotella),we identified a novel enterotype dominated by Escherichia(ET-Escherichia),whose prevalence increased in advanced age.Our data demonstrated that age explained more of the variance in the gut microbiome than previously identified factors such as type 2 diabetes mellitus(T2DM)or diet.We characterized the distinct taxonomic and functional profiles of ET-Escherichia,and found the strongest cohesion and highest robustness of the microbial co-occurrence network in this enterotype,as well as the lowest species diversity.In addition,we carried out a series of correlation analyses and co-abundance network analyses,which showed that several factors were likely linked to the overabundance of Escherichia members,including advanced age,vegetable intake,and fruit intake.Overall,our data revealed an enterotype variation characterized by Escherichia enrichment in the elderly population.Considering the different age distribution of each enterotype,these findings provide new insights into the changes that occur in the gut microbiome with age and highlight the importance of microbiome-based stratification of elderly individuals.展开更多
Integrating multiple modalities of cancer therapies for synergistic and enhanced therapeutic efficacy remains challenging.Herein,flash nanoprecipitation(FNP),a kinetically driven process,was employed to expedite the c...Integrating multiple modalities of cancer therapies for synergistic and enhanced therapeutic efficacy remains challenging.Herein,flash nanoprecipitation(FNP),a kinetically driven process,was employed to expedite the coordination reaction time required for nano-encapsulate components with completely opposite physiochemical properties including sorafenib(SRF),hemoglobin(Hb),chlorin e6(Ce6),and indocyanine green(ICG)into a multi-component HSCI nanomedicine.Hydrophilic components Hb and ICG interact to form hydrophobic ICG-Hb complexes under electrostatic and hydrophobic interactions.This process facilitates the characteristic time of nucleation(τ_(nucleation))to match the characteristic mixing time(τ_(mix))of the FNP process,resulting in the formulation of kinetically stable nanomedicine,overcoming the long equilibrium times and instability issues associated with thermodynamic assembly.Importantly,pH-responsive structure is also easily but effectively integrated in nanomedicine during this kinetically driven formulation to manipulate its structures.In the acidic tumor microenvironment(TME),the pH-stimulated morphology transformation of HSCI nanomedicine boosts its reactive oxygen species(ROS)generation efficiency and photothermal efficacy,endowing it with better antitumor suppression.In vitro and in vivo experiments reveal that the HSCI nanomedicine offers a synergistic therapeutic effect and stronger tumor suppression compared with single therapies.These results open a new window for developing strategies for multimodal combinatory cancer therapies.展开更多
In this study,Computational Fluid Dynamics(CFD)together with a component transport model are exploited to investigate the influence of dimensionless parameters,involving the height of the rectifier grid and the instal...In this study,Computational Fluid Dynamics(CFD)together with a component transport model are exploited to investigate the influence of dimensionless parameters,involving the height of the rectifier grid and the installation height of the first catalyst layer,on the flow field and the overall denitration efficiency of a cement kiln’s SCR(Selective catalytic reduction)denitrification reactor.It is shown that accurate numerical results can be obtained by fitting the particle size distribution function to the actual cement kiln fly ash and implementing a non-uniform particle inlet boundary condition.The relative error between denitration efficiency derived from experimental data,numerical simulation,and real-time system pressure drop ranges from 4%to 9%.Optimization of the SCR reactor is achieved when the rectifier grid thickness ratio k/H≥0.030,the rectifier grid height ratio h/H=0.04,and the spacing between the rectifier grid and the first catalyst layer l/H=0.10.Under these conditions,airflow distribution and particle dispersion upstream of the catalyst result in increased denitration efficiencies of 3.21%,3.43%,and 3.27%,respectively,compared to the least favorable operating conditions.展开更多
Plant-derived natural products have long been a vital source for developing therapeutic drugs.Wedelolactone(WDL),a coumestan isolated from Eclipta prostrata,Wedelia calendulacea,Wedelia chinensis,and Sphagneticola tri...Plant-derived natural products have long been a vital source for developing therapeutic drugs.Wedelolactone(WDL),a coumestan isolated from Eclipta prostrata,Wedelia calendulacea,Wedelia chinensis,and Sphagneticola trilobata,demonstrates a broad spectrum of therapeutic potential,including anticancer,anti-inflammatory,anti-obesity,anti-myotoxic,antimicrobial,anti-diabetic,and tissue-protective activities.This review synthesizes information on the isolation,total synthesis,pharmacological activity,underlying mechanisms,and pharmacokinetic properties of WDL.Additionally,it offers insights into potential clinical applications and future drug discovery avenues utilizing WDL or its derivatives,either independently or in combination with other pharmaceuticals.展开更多
Microplastics(MPs)pollution has emerged as a critical global environmental issue,for which rivers serve as key conduits for the transport of MPs from land to ocean.There remained a lack of clarity regarding the charac...Microplastics(MPs)pollution has emerged as a critical global environmental issue,for which rivers serve as key conduits for the transport of MPs from land to ocean.There remained a lack of clarity regarding the characteristics and transport patterns of MPs pollution in diverse environmental media and seasons within a river basin.The Jiulong River basin in Fujian,southeast China was studied as case,whose spatial-temporal distribution,pollution characteristics,and transport dynamics of MPs in both surface water and groundwater were analyzed.Additionally,the features of MPs in different land use types during the dry season were examined.Results show that in wet season,the abundance of MPs in river water varied from 840 to 12300 p/m^(3),with an average of 3920 p/m^(3);in groundwater,the range was 740-1820 p/m^(3),averaging 1107 p/m^(3);and from 68 to 951 p/kg,with an average value of 265 p/kg in the soil(dry weight).In dry season,levels of MPs in river water ranged from 580 to 8880 p/m^(3),with an average of 4034 p/m^(3);groundwater exhibited a range of 860-14980 p/m^(3),averaging 3453 p/m^(3).Fibers consistently dominated the morphology of MPs,of which polyethylene terephthalate was identified as the predominant composition in each environmental medium.Our findings underscore the spatial and temporal variability in distribution and contamination characteristics of MPs across different media.Notably,MPs abundance in river water and groundwater exhibited a seasonal pattern,being higher in levels in dry season than in wet season.The downstream transport of MPs was facilitated by surface runoff,in which MPs in groundwater and surface water could complement to each other.Furthermore,population density and human activities were identified as influential factors on the distribution and abundance of MPs.This study revealed the order of magnitude of difference in annual estimates of MPs entering the sea among different models.Additionally,the interception volume by mangrove forest in the Jiulong River estuary was estimated approximately 1.51×10^(10)MPs particles per year.Ecological interception shall be considered when estimating the fluxes of MPs into the sea.展开更多
This review delves into the emerging field of multidimensional catalysis,with a particular focus on the regulation of electrocatalysis by external magnetic fields.It outlines the significance of electrocatalysis in cl...This review delves into the emerging field of multidimensional catalysis,with a particular focus on the regulation of electrocatalysis by external magnetic fields.It outlines the significance of electrocatalysis in clean energy conversion and storage,and how magnetic fields can enhance the efficiency,selectivity,and stability of electrocatalytic reactions through various mechanisms such as Lorentz force,magnetocaloric effects,and spin selectivity.The review also discusses the historical evolution of catalysis research from one-dimensional to multidimensional and highlights the role of magnetic fields in catalyst synthesis,mass transfer,electron transfer,and reaction kinetics.Furthermore,it summarizes key applications of magnetic fields in different electrocatalytic reactions,supported by theoretical calculations that provide insights into the microscopic mechanisms.This comprehensive overview not only offers a theoretical and experimental foundation for the development of new electrocatalysts but also paves the way for more efficient and sustainable electrocatalytic technologies,marking a significant step toward the advancement of clean energy solutions.展开更多
Understanding the response of the phytoplankton community to climate change is essential for reservoir management.We analyzed a long-term data series(2009–2020)on the phytoplankton community in a large mesotrophic re...Understanding the response of the phytoplankton community to climate change is essential for reservoir management.We analyzed a long-term data series(2009–2020)on the phytoplankton community in a large mesotrophic reservoir in the wet season to investigate the impacts of temperature and precipitation increases caused by climate change on the functioning and trait composition of the phytoplankton community.Over the last twelve years,the 3-month accumulative precipitation increased from 291.03 mm to 590.91 mm,and the surface water temperature increased from 25.06℃to 26.49℃in wet season,respectively.These changes caused a higher water level,stronger thermal stratification and lower nitrogen concentration in Daxi Reservoir.The dynamic equilibrium model indicated that the increased precipitation and water temperature-related environmental changes would result in a more diverse and productive phytoplankton community.The effects of increasing water temperature and precipitation on the niche complementarity and selection effects within the phytoplankton community were analyzed using structural equation model by means of the functional divergence index and functional evenness index,respectively,elucidating the reasons for the increase in cyanobacteria in the absence of a significant increase in nutrient levels.Based on these results,it is advisable that more stringent phosphorus control standards might be conducted to reduce the risks of cyanobacteria proliferation in the context of global warming.展开更多
Objective:Diabetic retinopathy(DR)is a top leading cause of blindness worldwide,requiring early detection for timely intervention.Artificial intelligence(AI)has emerged as a promising tool to improve DR screening effi...Objective:Diabetic retinopathy(DR)is a top leading cause of blindness worldwide,requiring early detection for timely intervention.Artificial intelligence(AI)has emerged as a promising tool to improve DR screening efficiency,accessibility,and cost-effectiveness.This study conducted a systematic review of literature and meta-analysis on the economic outcomes of AI-based DR screening.Methods:A systematic review of studies published before September 2024 was conducted throughout PubMed,Scopus,Embase,the Cochrane Library,the National Health Service Economic Evaluation Database,and the Cost-Effectiveness Analysis Registry.Eligible studies were included if they were(1)conducted among type 1 diabetes mellitus or type 2 diabetes mellitus adult diabetic population;(2)studies compared AI-based DR screening strategy to non-AI screening;and(3)performed a cost-effectiveness analysis.Meta-analysis was applied to pool incremental net benefit(INB)across studies stratified by country income and study perspective using a random-effects model.Statistical heterogeneity among studies was assessed using the I2 statistic,Cochrane Q statistics,and meta regression.Results:Nine studies were included in the analysis.From a healthcare system/payer perspective,AI-based DR screening was significantly cost-effective compared to non-AI-based screening,with a pooled INB of 615.77(95%confidence interval[CI]:558.27-673.27).Subgroup analysis showed robust cost-effectiveness of AI-based DR screening in high-income countries(INB=613.62,95%CI:556.06-671.18)and upper-/lower-middle income countries(INB=1,739.97,95%CI:423.13-3,056.82)with low heterogeneity.From a societal perspective,AI-based DR screening was generally cost-effective(INB=5,102.33,95%CI:-815.47-11,020.13),though the result lacked statistical significance and showed high heterogeneity.Conclusions:AI-based DR screening is generally cost-effective from a healthcare system perspective,particularly in high-income countries.Heterogeneity in cost-effectiveness across different perspectives highlights the importance of context-specific evaluations,to accurately evaluate the potential of AI-based DR screening in reducing global healthcare disparities.展开更多
Green consumption(GC)are crucial for achieving the SustainableDevelopmentGoals(SDGs).However,few studies have explored public attitudes toward GC using social media data,missing potential public concerns captured thro...Green consumption(GC)are crucial for achieving the SustainableDevelopmentGoals(SDGs).However,few studies have explored public attitudes toward GC using social media data,missing potential public concerns captured through big data.To address this gap,this study collects and analyzes public attention toward GC using web crawler technology.Based on the data from Sina Weibo,we applied RoBERTa,an advanced NLP model based on transformer architecture,to conduct fine-grained sentiment analysis of the public’s attention,attitudes and hot topics on GC,demonstrating the potential of deep learning methods in capturing dynamic and contextual emotional shifts across time and regions.Among the sample(N=188,509),53.91% expressed a positive attitude,with variation across different times and regions.Temporally,public interest in GC has shown an annual growth rate of 30.23%,gradually shifting fromfulfilling basic needs to prioritizing entertainment consumption.Spatially,GC is most prevalent in the southeast coastal regions of China,with Beijing ranking first across five evaluated domains.Individuals and government-affiliated accounts play a key role in public discussions on social networks,accounting for 45.89% and 30.01% of user reviews,respectively.A significant positive correlation exists between economic development and public attention to GC,as indicated by a Pearson correlation coefficient of 0.55.Companies,in particular,exhibit cautious behavior in the early stages of green product adoption,prioritizing profitability before making substantial investments.These findings provide valuable insights into the evolving public perception of GC,contributing to the development of more effective environmental policies in China.展开更多
Background:Breast cancer is the most common cancer in women,and in advanced stages,it often metastasizes to the brain.However,research on the biological mechanisms of breast cancer brain metastasis and potential thera...Background:Breast cancer is the most common cancer in women,and in advanced stages,it often metastasizes to the brain.However,research on the biological mechanisms of breast cancer brain metastasis and potential therapeutic targets are limited.Methods:Differential gene expression analysis(DEGs)for the datasets GSE43837 and GSE125989 from the GEO database was performed using online analysis tools such as GEO2R and Sangerbox.Further investigation related to SULF1 was conducted using online databases such as Kaplan-Meier Plotter and cBioPortal.Thus,expression levels,variations,associations with HER2,biological processes,and pathways involv-ing SULF1 could be analyzed using UALCAN,cBioPortal,GEPIA2,and LinkedOmics databases.Moreover,the sensitivity of SULF1 to existing drugs was explored using drug databases such as RNAactDrug and CADSP.Results:High expression of SULF1 was associated with poor prognosis in advanced breast cancer brain metastasis and was positively correlated with the expression of HER2.In the metastatic breast cancer population,SULF1 ranked top among the 16 DEGs with the highest mutation rate,reaching 11%,primarily due to amplification.KEGG and GSEA analyses revealed that the genes co-expressed with SULF1 were positively enriched in the‘ECM-receptor interaction’gene set and negatively enriched in the‘Ribosome’gene set.Currently,docetaxel and vinorelbine can act as treatment options if the expression of SULF1 is high.Conclusions:This study,through bioinformatics analysis,unveiled SULF1 as a poten-tial target for treating breast cancer brain metastasis(BM).展开更多
In recent years,due to the scarcity of domestic radioisotopes,the Chinese government has strongly supported the development of dedicated radioisotope production facilities.This paper presents conceptual design simulat...In recent years,due to the scarcity of domestic radioisotopes,the Chinese government has strongly supported the development of dedicated radioisotope production facilities.This paper presents conceptual design simulations of an 11 MeV,50μA,H^(-) compact superconducting cyclotron for radioisotope production.This paper focuses primarily on four aspects:magnet system design,central region configuration,beam dynamics analysis,and extraction system design.This paper outlines the cyclotron's primary parameters and key steps in the development process.展开更多
Objective:To investigate the lifestyle and myopia among primary school students in urban areas of Fujian with the context of myopia prevention and control measures,aiming to provide scientific evidence for identifying...Objective:To investigate the lifestyle and myopia among primary school students in urban areas of Fujian with the context of myopia prevention and control measures,aiming to provide scientific evidence for identifying high-risk myopia population and formulating effective intervention strategies.Methods:A cross-sectional study was conducted from October to November 2023,enrolling 811 fourth-grade students from three primary schools in three cities across Fujian.Personal information and lifestyle-related pattern were collected using customized questionnaire.Participants underwent comprehensive ophthalmic assessments including distance visual acuity tests and refractive examinations.Logistic regression analysis was used to assess the impact of lifestyle on the onset of myopia.Results:The prevalence of myopia among fourth-grade students in urban primary schools in Fujian was 46.4%.Only 25.8%students engaged in outdoor activities for more than 2 hours daily,while63.3%participated in outdoor activities during class breaks.Multivariate Logistic regression analysis revealed that outdoor activities during class breaks(OR=0.646(95%confidence interval(CI):0.473-0.881),P=0.006)and daily time spent outdoors(2-3 hours,OR=0.682(95%CI:0.466-0.993),P=0.047;more than 3 hours,OR=0.403(95%CI:0.192-0.796),P=0.01)were independent protective factors against myopia.Lifestyle significantly enhanced the predictive performance for myopia(P=0.01).Additionally,parental myopia(one parent with myopia,OR=2.247(95%CI:1.612-3.145),P<0.001;both parents with myopia,OR=4.824(95%CI:3.262-7.204),P<0.001)emerged as a key risk factor for myopia.Conclusions:There is considerable scope for improving the lifestyle of primary school students in urban areas of Fujian.Lifestyle is strongly associated with myopia onset,highlighting the need for schools and families to actively encourage students to engage in more outdoor activities and take breaks outdoors to prevent and control myopia.Students with parents,especially both parents,having myopia should be considered as a key target group for myopia prevention efforts.展开更多
基金supported by the Open Research Fund of Key Laboratory for Lake Pollution Control of the Ministry of Ecology and Environment(No.2024HPYKFZD04)the Fundamental Research Funds for the Central Publicinterest Scientific Institution(No.2025YSKY-04)the National Natural Science Foundation of China(Nos.U1902207 and 42207265).
文摘Wind-induced circulation is the main form of lake flow for shallow lakes and plays an important role in algae population distribution.This study constructed a three-dimensional hydrodynamic model(EFDC)of the plateau lake Erhai,China using accuracy wind field observation,runoff data and monthly algae data during 2022–2023.The model successfully reproduced the circulation characteristics of Erhai under prevailing wind directions.The results showed that the lake flow velocity in Lake Erhai is higher in winter than in summer,with lower velocities near shore particularly in the northern and central parts of the lake.There is a negative correlation between algal biomass and flow velocity(FV)in different zones,with lower FV favoring the accumulation of algal biomass,particularly for Microcystis,Dolichospermum,and Peridinium.Additionally,due to buoyancy,cyanobacteria are highly affected by wind direction and tend to accumulate in downwind regions of the prevailing wind direction.This study demonstrates that wind-induced circulation is a crucial factor affecting the spatial distribution of dominant algae populations in shallow plateau lakes with weak hydrodynamic force.Further,the risk of bloom occurrence in Lake Erhai will be higher due to the background of global climate change and the lake’s wind speed decline.In conclusion,we suggest implementing targeted zoning measures to control algal blooms and establishing stricter regulations for nitrogen and phosphorus control to counterbalance the promotion of algal bloom accumulation in low-velocity zones caused by reduced wind speed.
基金supported by the Hefei Comprehensive National Science Center Hefei Brain Project(to KW)the National Natural Science Foundation of China,Nos.31970979(to KW),82101498(to XW)the STI2030-Major Projects,No.2021ZD0201800(to PH).
文摘Alzheimer’s disease is a neurodegenerative disease resulting from deficits in synaptic transmission and homeostasis.The Alzheimer’s disease brain tends to be hyperexcitable and hypersynchronized,thereby causing neurodegeneration and ultimately disrupting the operational abilities in daily life,leaving patients incapacitated.Repetitive transcranial magnetic stimulation is a cost-effective,neuro-modulatory technique used for multiple neurological conditions.Over the past two decades,it has been widely used to predict cognitive decline;identify pathophysiological markers;promote neuroplasticity;and assess brain excitability,plasticity,and connectivity.It has also been applied to patients with dementia,because it can yield facilitatory effects on cognition and promote brain recovery after a neurological insult.However,its therapeutic effectiveness at the molecular and synaptic levels has not been elucidated because of a limited number of studies.This study aimed to characterize the neurobiological changes following repetitive transcranial magnetic stimulation treatment,evaluate its effects on synaptic plasticity,and identify the associated mechanisms.This review essentially focuses on changes in the pathology,amyloidogenesis,and clearance pathways,given that amyloid deposition is a major hypothesis in the pathogenesis of Alzheimer’s disease.Apoptotic mechanisms associated with repetitive transcranial magnetic stimulation procedures and different pathways mediating gene transcription,which are closely related to the neural regeneration process,are also highlighted.Finally,we discuss the outcomes of animal studies in which neuroplasticity is modulated and assessed at the structural and functional levels by using repetitive transcranial magnetic stimulation,with the aim to highlight future directions for better clinical translations.
文摘Acrylamide(AA)is a harmful substance widely found in infant and child biscuits;however,the health hazards of AA,especially endogenous AA,in the biscuit matrix is poorly understood.This study aimed to determine the effects of endogenous(0.11 mg/(kg bw·day))and exogenous(1.31,5.23,and 10.13 mg/(kg bw·day))AA exposure from biscuit diet on the hematology,hormone levels,immune function,and liver and kidney damage in growing female rat pups.For the hematological indices,a quadratic reduction was observed in percentage of neutrophils(Neu%)and percentage of eosinophils(Eos%)in the leukograms and in mean corpuscular hemoglobin concentration and platelet in the erythrograms in all the AA-exposed groups.In terms of hormones,extremely remarkably elevations in estradiol(E_(2))and growth hormone(GH)levels were associated with exogenous AA,and a significant increase in GH levels was noted in the endogenous AA group.Regarding immune function,endogenous and exogenous AA showed a dose-dependent immunotoxic effect on lysozyme(LYSO),nitric oxide(NO),immunoglobulin(Ig)G,and IgM.In particular,the lactate dehydrogenase(LDH)activity was significantly high in the exogenous medium dose(Exo-M)and exogenous high dose(Exo-H)groups,and the percentage of CD3^(+)T cells in the blood and CD8^(+)expression levels in the spleen were significantly elevated in the Exo-H group.For liver and kidney function,exogenous AA had a dose-dependent effect on alanine aminotransferases(ALT),aspartate transferases(AST),alkaline phosphatase(ALP),urea nitrogen(UREA),and creatinine(CREA-S).In addition to the dose-dependent effect on the pathological changes in the liver and kidneys,the endogenous AA group presented with hepatocellular steatosis,kidney inflammatory infiltrates,and glomerular and tubular atrophy.Overall,our findings suggested the dose-dependent harmful effect of endogenous and exogenous AA.Special attention should be paid to the damage caused by exposure to endogenous AA.Stringent AA intake guidelines and measures are required to minimize AA levels in the food matrix.
基金supported by the National Natural Science Foundation of China(Nos.82101665,82271588,82200665,and 82100795)the Zhejiang Provincial Natural Science Foundation of China(No.LY22H030009)+1 种基金the Zhejiang Provincial Science and Technology Program of Traditional Chinese Medicine(No.2023ZL480)the Medical and Health Research Project of Zhejiang Province(No.2023RC153),China.
文摘Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging,yet there is limited understanding of gut microbiome variation in advanced age.Here,we performed a metagenomics-based enterotype analysis in a geographically homogeneous cohort of 367 enrolled Chinese individuals between the ages of 60 and 94 years,with the goal of characterizing the gut microbiome of elderly individuals and identifying factors linked to enterotype variations.In addition to two adult-like enterotypes dominated by Bacteroides(ET-Bacteroides)and Prevotella(ET-Prevotella),we identified a novel enterotype dominated by Escherichia(ET-Escherichia),whose prevalence increased in advanced age.Our data demonstrated that age explained more of the variance in the gut microbiome than previously identified factors such as type 2 diabetes mellitus(T2DM)or diet.We characterized the distinct taxonomic and functional profiles of ET-Escherichia,and found the strongest cohesion and highest robustness of the microbial co-occurrence network in this enterotype,as well as the lowest species diversity.In addition,we carried out a series of correlation analyses and co-abundance network analyses,which showed that several factors were likely linked to the overabundance of Escherichia members,including advanced age,vegetable intake,and fruit intake.Overall,our data revealed an enterotype variation characterized by Escherichia enrichment in the elderly population.Considering the different age distribution of each enterotype,these findings provide new insights into the changes that occur in the gut microbiome with age and highlight the importance of microbiome-based stratification of elderly individuals.
基金supported by the National Natural Science Foundation of China(22378126)National Key Research and Development Program of the International scientific and technological innovation cooperation project among governments(2021YFE0100400)Shanghai Science and Technology Innovation Action Plan(22501100500).
文摘Integrating multiple modalities of cancer therapies for synergistic and enhanced therapeutic efficacy remains challenging.Herein,flash nanoprecipitation(FNP),a kinetically driven process,was employed to expedite the coordination reaction time required for nano-encapsulate components with completely opposite physiochemical properties including sorafenib(SRF),hemoglobin(Hb),chlorin e6(Ce6),and indocyanine green(ICG)into a multi-component HSCI nanomedicine.Hydrophilic components Hb and ICG interact to form hydrophobic ICG-Hb complexes under electrostatic and hydrophobic interactions.This process facilitates the characteristic time of nucleation(τ_(nucleation))to match the characteristic mixing time(τ_(mix))of the FNP process,resulting in the formulation of kinetically stable nanomedicine,overcoming the long equilibrium times and instability issues associated with thermodynamic assembly.Importantly,pH-responsive structure is also easily but effectively integrated in nanomedicine during this kinetically driven formulation to manipulate its structures.In the acidic tumor microenvironment(TME),the pH-stimulated morphology transformation of HSCI nanomedicine boosts its reactive oxygen species(ROS)generation efficiency and photothermal efficacy,endowing it with better antitumor suppression.In vitro and in vivo experiments reveal that the HSCI nanomedicine offers a synergistic therapeutic effect and stronger tumor suppression compared with single therapies.These results open a new window for developing strategies for multimodal combinatory cancer therapies.
基金Anhui Province Key Research and Development Plan of the Ecological Environment Project(No.202104i07020016).
文摘In this study,Computational Fluid Dynamics(CFD)together with a component transport model are exploited to investigate the influence of dimensionless parameters,involving the height of the rectifier grid and the installation height of the first catalyst layer,on the flow field and the overall denitration efficiency of a cement kiln’s SCR(Selective catalytic reduction)denitrification reactor.It is shown that accurate numerical results can be obtained by fitting the particle size distribution function to the actual cement kiln fly ash and implementing a non-uniform particle inlet boundary condition.The relative error between denitration efficiency derived from experimental data,numerical simulation,and real-time system pressure drop ranges from 4%to 9%.Optimization of the SCR reactor is achieved when the rectifier grid thickness ratio k/H≥0.030,the rectifier grid height ratio h/H=0.04,and the spacing between the rectifier grid and the first catalyst layer l/H=0.10.Under these conditions,airflow distribution and particle dispersion upstream of the catalyst result in increased denitration efficiencies of 3.21%,3.43%,and 3.27%,respectively,compared to the least favorable operating conditions.
基金supported by the National Natural Science Foundation of China (No.82322062)Jiangsu Province Funds for Distinguished Young Scientists (No.BK20211527)。
文摘Plant-derived natural products have long been a vital source for developing therapeutic drugs.Wedelolactone(WDL),a coumestan isolated from Eclipta prostrata,Wedelia calendulacea,Wedelia chinensis,and Sphagneticola trilobata,demonstrates a broad spectrum of therapeutic potential,including anticancer,anti-inflammatory,anti-obesity,anti-myotoxic,antimicrobial,anti-diabetic,and tissue-protective activities.This review synthesizes information on the isolation,total synthesis,pharmacological activity,underlying mechanisms,and pharmacokinetic properties of WDL.Additionally,it offers insights into potential clinical applications and future drug discovery avenues utilizing WDL or its derivatives,either independently or in combination with other pharmaceuticals.
基金Supported by the National Natural Science Foundation of China(No.41961144011)。
文摘Microplastics(MPs)pollution has emerged as a critical global environmental issue,for which rivers serve as key conduits for the transport of MPs from land to ocean.There remained a lack of clarity regarding the characteristics and transport patterns of MPs pollution in diverse environmental media and seasons within a river basin.The Jiulong River basin in Fujian,southeast China was studied as case,whose spatial-temporal distribution,pollution characteristics,and transport dynamics of MPs in both surface water and groundwater were analyzed.Additionally,the features of MPs in different land use types during the dry season were examined.Results show that in wet season,the abundance of MPs in river water varied from 840 to 12300 p/m^(3),with an average of 3920 p/m^(3);in groundwater,the range was 740-1820 p/m^(3),averaging 1107 p/m^(3);and from 68 to 951 p/kg,with an average value of 265 p/kg in the soil(dry weight).In dry season,levels of MPs in river water ranged from 580 to 8880 p/m^(3),with an average of 4034 p/m^(3);groundwater exhibited a range of 860-14980 p/m^(3),averaging 3453 p/m^(3).Fibers consistently dominated the morphology of MPs,of which polyethylene terephthalate was identified as the predominant composition in each environmental medium.Our findings underscore the spatial and temporal variability in distribution and contamination characteristics of MPs across different media.Notably,MPs abundance in river water and groundwater exhibited a seasonal pattern,being higher in levels in dry season than in wet season.The downstream transport of MPs was facilitated by surface runoff,in which MPs in groundwater and surface water could complement to each other.Furthermore,population density and human activities were identified as influential factors on the distribution and abundance of MPs.This study revealed the order of magnitude of difference in annual estimates of MPs entering the sea among different models.Additionally,the interception volume by mangrove forest in the Jiulong River estuary was estimated approximately 1.51×10^(10)MPs particles per year.Ecological interception shall be considered when estimating the fluxes of MPs into the sea.
基金support from the National Natural Science Foundation of China(No.22405048)the startup funds from Fuzhou University。
文摘This review delves into the emerging field of multidimensional catalysis,with a particular focus on the regulation of electrocatalysis by external magnetic fields.It outlines the significance of electrocatalysis in clean energy conversion and storage,and how magnetic fields can enhance the efficiency,selectivity,and stability of electrocatalytic reactions through various mechanisms such as Lorentz force,magnetocaloric effects,and spin selectivity.The review also discusses the historical evolution of catalysis research from one-dimensional to multidimensional and highlights the role of magnetic fields in catalyst synthesis,mass transfer,electron transfer,and reaction kinetics.Furthermore,it summarizes key applications of magnetic fields in different electrocatalytic reactions,supported by theoretical calculations that provide insights into the microscopic mechanisms.This comprehensive overview not only offers a theoretical and experimental foundation for the development of new electrocatalysts but also paves the way for more efficient and sustainable electrocatalytic technologies,marking a significant step toward the advancement of clean energy solutions.
基金Supported by the National Natural Science Foundation of China(Nos.U22A20616,32071573)。
文摘Understanding the response of the phytoplankton community to climate change is essential for reservoir management.We analyzed a long-term data series(2009–2020)on the phytoplankton community in a large mesotrophic reservoir in the wet season to investigate the impacts of temperature and precipitation increases caused by climate change on the functioning and trait composition of the phytoplankton community.Over the last twelve years,the 3-month accumulative precipitation increased from 291.03 mm to 590.91 mm,and the surface water temperature increased from 25.06℃to 26.49℃in wet season,respectively.These changes caused a higher water level,stronger thermal stratification and lower nitrogen concentration in Daxi Reservoir.The dynamic equilibrium model indicated that the increased precipitation and water temperature-related environmental changes would result in a more diverse and productive phytoplankton community.The effects of increasing water temperature and precipitation on the niche complementarity and selection effects within the phytoplankton community were analyzed using structural equation model by means of the functional divergence index and functional evenness index,respectively,elucidating the reasons for the increase in cyanobacteria in the absence of a significant increase in nutrient levels.Based on these results,it is advisable that more stringent phosphorus control standards might be conducted to reduce the risks of cyanobacteria proliferation in the context of global warming.
基金supported by the Global STEM Professorship Scheme(P0046113)Henry G.Leong Endowed Professorship in Elderly Vision Health.
文摘Objective:Diabetic retinopathy(DR)is a top leading cause of blindness worldwide,requiring early detection for timely intervention.Artificial intelligence(AI)has emerged as a promising tool to improve DR screening efficiency,accessibility,and cost-effectiveness.This study conducted a systematic review of literature and meta-analysis on the economic outcomes of AI-based DR screening.Methods:A systematic review of studies published before September 2024 was conducted throughout PubMed,Scopus,Embase,the Cochrane Library,the National Health Service Economic Evaluation Database,and the Cost-Effectiveness Analysis Registry.Eligible studies were included if they were(1)conducted among type 1 diabetes mellitus or type 2 diabetes mellitus adult diabetic population;(2)studies compared AI-based DR screening strategy to non-AI screening;and(3)performed a cost-effectiveness analysis.Meta-analysis was applied to pool incremental net benefit(INB)across studies stratified by country income and study perspective using a random-effects model.Statistical heterogeneity among studies was assessed using the I2 statistic,Cochrane Q statistics,and meta regression.Results:Nine studies were included in the analysis.From a healthcare system/payer perspective,AI-based DR screening was significantly cost-effective compared to non-AI-based screening,with a pooled INB of 615.77(95%confidence interval[CI]:558.27-673.27).Subgroup analysis showed robust cost-effectiveness of AI-based DR screening in high-income countries(INB=613.62,95%CI:556.06-671.18)and upper-/lower-middle income countries(INB=1,739.97,95%CI:423.13-3,056.82)with low heterogeneity.From a societal perspective,AI-based DR screening was generally cost-effective(INB=5,102.33,95%CI:-815.47-11,020.13),though the result lacked statistical significance and showed high heterogeneity.Conclusions:AI-based DR screening is generally cost-effective from a healthcare system perspective,particularly in high-income countries.Heterogeneity in cost-effectiveness across different perspectives highlights the importance of context-specific evaluations,to accurately evaluate the potential of AI-based DR screening in reducing global healthcare disparities.
基金supported by the National Nature Foundation of China under Grants(No.72104108)the College Students’Innovation and Entrepreneurship Training Program(No.202410298155Y).
文摘Green consumption(GC)are crucial for achieving the SustainableDevelopmentGoals(SDGs).However,few studies have explored public attitudes toward GC using social media data,missing potential public concerns captured through big data.To address this gap,this study collects and analyzes public attention toward GC using web crawler technology.Based on the data from Sina Weibo,we applied RoBERTa,an advanced NLP model based on transformer architecture,to conduct fine-grained sentiment analysis of the public’s attention,attitudes and hot topics on GC,demonstrating the potential of deep learning methods in capturing dynamic and contextual emotional shifts across time and regions.Among the sample(N=188,509),53.91% expressed a positive attitude,with variation across different times and regions.Temporally,public interest in GC has shown an annual growth rate of 30.23%,gradually shifting fromfulfilling basic needs to prioritizing entertainment consumption.Spatially,GC is most prevalent in the southeast coastal regions of China,with Beijing ranking first across five evaluated domains.Individuals and government-affiliated accounts play a key role in public discussions on social networks,accounting for 45.89% and 30.01% of user reviews,respectively.A significant positive correlation exists between economic development and public attention to GC,as indicated by a Pearson correlation coefficient of 0.55.Companies,in particular,exhibit cautious behavior in the early stages of green product adoption,prioritizing profitability before making substantial investments.These findings provide valuable insights into the evolving public perception of GC,contributing to the development of more effective environmental policies in China.
基金Peking Union Medical College,Grant/Award Number:3332022182。
文摘Background:Breast cancer is the most common cancer in women,and in advanced stages,it often metastasizes to the brain.However,research on the biological mechanisms of breast cancer brain metastasis and potential therapeutic targets are limited.Methods:Differential gene expression analysis(DEGs)for the datasets GSE43837 and GSE125989 from the GEO database was performed using online analysis tools such as GEO2R and Sangerbox.Further investigation related to SULF1 was conducted using online databases such as Kaplan-Meier Plotter and cBioPortal.Thus,expression levels,variations,associations with HER2,biological processes,and pathways involv-ing SULF1 could be analyzed using UALCAN,cBioPortal,GEPIA2,and LinkedOmics databases.Moreover,the sensitivity of SULF1 to existing drugs was explored using drug databases such as RNAactDrug and CADSP.Results:High expression of SULF1 was associated with poor prognosis in advanced breast cancer brain metastasis and was positively correlated with the expression of HER2.In the metastatic breast cancer population,SULF1 ranked top among the 16 DEGs with the highest mutation rate,reaching 11%,primarily due to amplification.KEGG and GSEA analyses revealed that the genes co-expressed with SULF1 were positively enriched in the‘ECM-receptor interaction’gene set and negatively enriched in the‘Ribosome’gene set.Currently,docetaxel and vinorelbine can act as treatment options if the expression of SULF1 is high.Conclusions:This study,through bioinformatics analysis,unveiled SULF1 as a poten-tial target for treating breast cancer brain metastasis(BM).
文摘In recent years,due to the scarcity of domestic radioisotopes,the Chinese government has strongly supported the development of dedicated radioisotope production facilities.This paper presents conceptual design simulations of an 11 MeV,50μA,H^(-) compact superconducting cyclotron for radioisotope production.This paper focuses primarily on four aspects:magnet system design,central region configuration,beam dynamics analysis,and extraction system design.This paper outlines the cyclotron's primary parameters and key steps in the development process.
基金supported by the Science and Technology Planning Project of Guangdong Province(2023A1111120011)the Natural Science Foundation of Guangdong Province(2024A1515010801).
文摘Objective:To investigate the lifestyle and myopia among primary school students in urban areas of Fujian with the context of myopia prevention and control measures,aiming to provide scientific evidence for identifying high-risk myopia population and formulating effective intervention strategies.Methods:A cross-sectional study was conducted from October to November 2023,enrolling 811 fourth-grade students from three primary schools in three cities across Fujian.Personal information and lifestyle-related pattern were collected using customized questionnaire.Participants underwent comprehensive ophthalmic assessments including distance visual acuity tests and refractive examinations.Logistic regression analysis was used to assess the impact of lifestyle on the onset of myopia.Results:The prevalence of myopia among fourth-grade students in urban primary schools in Fujian was 46.4%.Only 25.8%students engaged in outdoor activities for more than 2 hours daily,while63.3%participated in outdoor activities during class breaks.Multivariate Logistic regression analysis revealed that outdoor activities during class breaks(OR=0.646(95%confidence interval(CI):0.473-0.881),P=0.006)and daily time spent outdoors(2-3 hours,OR=0.682(95%CI:0.466-0.993),P=0.047;more than 3 hours,OR=0.403(95%CI:0.192-0.796),P=0.01)were independent protective factors against myopia.Lifestyle significantly enhanced the predictive performance for myopia(P=0.01).Additionally,parental myopia(one parent with myopia,OR=2.247(95%CI:1.612-3.145),P<0.001;both parents with myopia,OR=4.824(95%CI:3.262-7.204),P<0.001)emerged as a key risk factor for myopia.Conclusions:There is considerable scope for improving the lifestyle of primary school students in urban areas of Fujian.Lifestyle is strongly associated with myopia onset,highlighting the need for schools and families to actively encourage students to engage in more outdoor activities and take breaks outdoors to prevent and control myopia.Students with parents,especially both parents,having myopia should be considered as a key target group for myopia prevention efforts.
