Functional gastrointestinal disorders(FGIDs),including irritable bowel syndrome(IBS),functional dyspepsia(FD),and gastroesophageal reflux disease(GERD),present persistent diagnostic and therapeutic challenges due to s...Functional gastrointestinal disorders(FGIDs),including irritable bowel syndrome(IBS),functional dyspepsia(FD),and gastroesophageal reflux disease(GERD),present persistent diagnostic and therapeutic challenges due to symptom heterogeneity and the absence of reliable biomarkers.Artificial intelligence(AI)enables the integration of multimodal data to enhance FGID management through precision diagnostics and preventive healthcare.This minireview summarizes recent advancements in AI applications for FGIDs,highlighting progress in diagnostic accuracy,subtype classification,personalized interventions,and preventive strategies inspired by the traditional Chinese medicine concept of“treating the undiseased”.Machine learning and deep learning algorithms have demonstrated value in improving IBS diagnosis,refining FD neuro-gastrointestinal subtyping,and screening for GERD-related complications.Moreover,AI supports dietary,psychological,and integrative medicine-based interventions to improve patient adherence and quality of life.Nonetheless,key challenges remain,including data heterogeneity,limited model interpretability,and the need for robust clinical validation.Future directions emphasize interdisciplinary collaboration,the development of multimodal and explainable AI models,and the creation of patientcentered platforms to facilitate a shift from reactive treatment to proactive prevention.This review provides a systematic framework to guide the clinical application and theoretical innovation of AI in FGIDs.展开更多
This study aims to explore the impact of fatigue induced by different limb exercises on cerebral cortical oxygenation levels and functional connectivity strength using functional near-infrared spectroscopy(fNIRS).Fati...This study aims to explore the impact of fatigue induced by different limb exercises on cerebral cortical oxygenation levels and functional connectivity strength using functional near-infrared spectroscopy(fNIRS).Fatigue was induced using an upper limb ergometer or a lower limb ergometer,with the load increasing gradually each minute.fNIRS covering the prefrontal cortex and motor cortex were used to collect data during the resting state,both before and after fatigue induction.A two-way ANOVA was conducted to examine differences in oxyhemoglobin(HbO_(2))and functional connectivity before and after fatigue induction in both groups,with the significance level set at 0.05.Exercise-induced fatigue in both the upper and lower limbs leads to a significant decrease in cerebral cortical oxygenation levels.Upper limb fatigue leads to a significant reduction in functional connectivity,there were significant decreases in connectivity within the motor cortex,between the motor cortex and frontal regions,and between the right ventrolateral prefrontal cortex and other frontal regions.Conversely,no significant changes were observed before and after lower limb fatigue.Future studies should focus on examining the extent to which how changes in the cerebral cortex,induced by exercise fatigue,are linked to exercise-and/or performance-related outcomes.展开更多
Morocco's oat sector is shifting from forage to food,creating demand for varieties with proven processing performance.We profiled nine Moroccan oats(four parental lines,four interspecific derivatives,and one hull-...Morocco's oat sector is shifting from forage to food,creating demand for varieties with proven processing performance.We profiled nine Moroccan oats(four parental lines,four interspecific derivatives,and one hull-less diploid check)against the key drivers of functionality:β-glucan,hydration metrics(WAI,WSI,swelling power),interfacial metrics(foam capacity/stability,emulsion capacity/stability),and kernel geometry(thousand-kernel weight/width),using SEM to interpret microstructure.Varietal differences were pronounced and actionable.The A.sativa×A.magna derivative Hamdali showed fast wetting(low WAI),strong foaming(highest FS),and high emulsion capacity.These traits make it suitable for oat drinks and large,crack-free flakes.The A.sativa×A.murphyi descendants Al Fawze and Abtah exhibited restrained swelling(lower SP)and moderate WAI/WSI,favoring crisp snacks,biscuits,and pasta;Abtah additionally delivered high emulsion stability suitable for shelf-stable beverages.Amlal and Nezha offered balanced,steerable profiles.Linkingβ-glucan,hydration,and interfacial behavior to kernel traits provides a variety-to-application map for Moroccan oats.We recommend Hamdali/Niema for foamed beverages/flakes;Tissir/Soualem for porridges and thick beverages;Abtah for pasta and stable emulsions;Al Fawze for crisp snacks/biscuits.展开更多
A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synth...A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synthetic metabolic engineering offers a method to modify and redesign metabolic pathways to increase the nutritional value of crops.We summarize recent advances in the biofortification of key nutrients including provitamin A,vitamin C,vitamin B9,iron,zinc,anthocyanins,flavonoids,and unsaturated fatty acids.We discuss the potential of multi-gene stacking,gene editing,enzyme engineering,and artificial intelligence in synthetic metabolic engineering.We propose future research directions and potential solutions centered on leveraging AI-driven systems biology,precision gene editing,enzyme engineering,agrobacterium-mediated genotype-independent transformation,and modular metabolic engineering strategies to develop next-generation nutritionally enhanced super crops and transform global food systems.展开更多
Leaf thickness in rice critically influences photosynthetic efficiency and yield,yet its genetic basis remains poorly understood,with few functional genes previously characterized.In this study,we employ a pangenome-w...Leaf thickness in rice critically influences photosynthetic efficiency and yield,yet its genetic basis remains poorly understood,with few functional genes previously characterized.In this study,we employ a pangenome-wide association study(Pan-GWAS)on 302 diverse rice accessions from southern China,identifying 49 quantitative trait loci(QTLs)associated with leaf thickness.The most significant locus,qLT9,is fine-mapped to a 79-kb region on chromosome 9.Transcriptomic and genomic sequence analyses identify LOC_Os09g33480,which encodes a protein belonging to Multiple Organellar RNA Editing Factor family,as the key candidate gene.Overexpression and complementation transgenic experiments confirm LOC_Os09g33480(OsLT9)as the functional gene underlying qLT9,demonstrating a 24-bp Indel in its promoter correlates with the expression levels and leaf thickness.Notably,OsLT9 overexpression lines show not only thicker leaf,but also significantly enhanced photosynthetic efficiency and grain yield,establishing a link between leaf thickness modulation and yield enhancement.Population genomic analyses indicate strong selection for OsLT9 during domestication and breeding,with modern cultivars favoring thick leaf haplotype of OsLT9.This study establishes OsLT9 as a key regulator controlling leaf thickness in rice,and provides a valuable genetic resource for molecular breeding of high-yielding rice through optimization of plant architecture.展开更多
Food-grade biopolymers and nanotechnology have been increasingly used to revolutionize the delivery of bioactive compounds by enhancing stability,bioavailability,and controlled release.Within the scope of nanoencapsul...Food-grade biopolymers and nanotechnology have been increasingly used to revolutionize the delivery of bioactive compounds by enhancing stability,bioavailability,and controlled release.Within the scope of nanoencapsulation systems,this review explores food-derived polymers such as vicilin,zein,gluten,cruciferin,inulin,and others.These biopolymers are ideal since they encapsulate numerous functional compounds,such as vitamins,probiotics,essential oils,and polyphenols,because they are biocompatible,amphiphilic,and biodegradable.The specific physical and chemical properties of each polymer,extraction procedures,and nanoencapsulation techniques applied therein(e.g.,ionic gelation and spray drying)are described.The review highlights advanced targeting systems like pH-sensitive,magnetic delivery.Additional applications include those in synergistic nutraceutical systems,oral administration of vaccination,and intelligent food packaging.All these findings demonstrate that food polymers are increasingly more viable as functional nanocarriers by way of increasing bioactive delivery and the shifting requirements of personalized and health-based dietary regimes.展开更多
Aspergillus species are ubiquitous fungi that produce mycotoxins(secondary metabolites)known as sterigmatocystin and aflatoxins in many different kinds of foods,which leads to serious contamination in agricultural pro...Aspergillus species are ubiquitous fungi that produce mycotoxins(secondary metabolites)known as sterigmatocystin and aflatoxins in many different kinds of foods,which leads to serious contamination in agricultural products,thereby endangering human health.Extensive studies on Aspergillus fungi have been conducted on growth and development,aflatoxin biosynthesis,and their interactions with environment.Here,we summarized a series of functional genes of the main Aspergillus fungi relative to toxins occurrence in foods,which revealed the signal transduction mechanisms of their involvement in growth and development,toxin production,and response to light,anticipating providing theoretical guidance on developing control and prevention technologies for mycotoxin contamination in agricultural products to ensure food safety.展开更多
Cellulose,the dominant natural polymer on Earth,features a distinct molecular structure with extraordinary mechanical properties and tunable characteristics,making it attractive for gel systems.Although significant pr...Cellulose,the dominant natural polymer on Earth,features a distinct molecular structure with extraordinary mechanical properties and tunable characteristics,making it attractive for gel systems.Although significant progress has been made,challenges remain in fully leveraging their functional potential and broadening practical applications.This review systematically examines the properties of cellulose and cellulose gels,exploring novel reinforcement strategies—across molecular,supramolecular network,and macroscale structure levels—to enhance mechanical,electrical,and thermal performance,while coordinating these properties for practical implementations.These advancements are exemplified in emerging fields such as flexible robotics,electronic skins,flexible energy storage devices,and human-machine interaction systems.This article thoroughly investigates the fundamental characteristics,multi-scale design approaches,performance enhancement mechanisms,and cutting-edge implementations of cellulose-based gels across diverse domains.It provides a comprehensive overview of these advanced materials and offers strategic insights and recommendations for future research and innovation.展开更多
Flash Joule heating(FJH),as a high-efficiency and low-energy consumption technology for advanced materials synthesis,has shown significant potential in the synthesis of graphene and other functional carbon materials.B...Flash Joule heating(FJH),as a high-efficiency and low-energy consumption technology for advanced materials synthesis,has shown significant potential in the synthesis of graphene and other functional carbon materials.Based on the Joule effect,the solid carbon sources can be rapidly heated to ultra-high temperatures(>3000 K)through instantaneous high-energy current pulses during FJH,thus driving the rapid rearrangement and graphitization of carbon atoms.This technology demonstrates numerous advantages,such as solvent-and catalyst-free features,high energy conversion efficiency,and a short process cycle.In this review,we have systematically summarized the technology principle and equipment design for FJH,as well as its raw materials selection and pretreatment strategies.The research progress in the FJH synthesis of flash graphene,carbon nanotubes,graphene fibers,and anode hard carbon,as well as its by-products,is also presented.FJH can precisely optimize the microstructures of carbon materials(e.g.,interlayer spacing of turbostratic graphene,defect concentration,and heteroatom doping)by regulating its operation parameters like flash voltage and flash time,thereby enhancing their performances in various applications,such as composite reinforcement,metal-ion battery electrodes,supercapacitors,and electrocatalysts.However,this technology is still challenged by low process yield,macroscopic material uniformity,and green power supply system construction.More research efforts are also required to promote the transition of FJH from laboratory to industrial-scale applications,thus providing innovative solutions for advanced carbon materials manufacturing and waste management toward carbon neutrality.展开更多
BACKGROUND Suicide constitutes the second leading cause of death among adolescents globally and represents a critical public health concern.The neural mechanisms underlying suicidal behavior in adolescents with major ...BACKGROUND Suicide constitutes the second leading cause of death among adolescents globally and represents a critical public health concern.The neural mechanisms underlying suicidal behavior in adolescents with major depressive disorder(MDD)remain poorly understood.Aberrant resting-state functional connectivity(rsFC)in the amygdala,a key region implicated in emotional regulation and threat detection,is strongly implicated in depression and suicidal behavior.AIM To investigate rsFC alterations between amygdala subregions and whole-brain networks in adolescent patients with depression and suicide attempts.METHODS Resting-state functional magnetic resonance imaging data were acquired from 32 adolescents with MDD and suicide attempts(sMDD)group,33 adolescents with MDD but without suicide attempts(nsMDD)group,and 34 demographically matched healthy control(HC)group,with the lateral and medial amygdala(MeA)defined as regions of interest.The rsFC patterns of amygdala subregions were compared across the three groups,and associations between aberrant rsFC values and clinical symptom severity scores were examined.RESULTS Compared with the nsMDD group,the sMDD group exhibited reduced rsFC between the right lateral amygdala(LA)and the right inferior occipital gyrus as well as the left middle occipital gyrus.Compared with the HC group,the abnormal brain regions of rsFC in the sMDD group and nsMDD group involve the parahippocampal gyrus(PHG)and fusiform gyrus.In the sMDD group,right MeA and right temporal pole:Superior temporal gyrus rsFC value negatively correlated with the Rosenberg Self-Esteem Scale scores(r=-0.409,P=0.025),while left LA and right PHG rsFC value positively correlated with the Adolescent Self-Rating Life Events Checklist interpersonal relationship scores(r=0.372,P=0.043).CONCLUSION Aberrant rsFC changes between amygdala subregions and these brain regions provide novel insights into the underlying neural mechanisms of suicide attempts in adolescents with MDD.展开更多
Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult t...Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult to compare their research results.Methods:The time for wound closure was evaluated and recorded through gross observation.The regression equation between the healing time and the diameter of skin defect was established,which can be used to predict the healing time for a certain skin defect size in rats.Histochemical and immunohistochemical staining was used to observe the regeneration and reconstruction of skin appendages,and the functional skin repair was quantitatively scored.Results:The critical-size defect of rats was determined based on the maximum capacity of structural skin repair,and the functional skin repair was quantitatively scored based on the regeneration and reconstruction of skin appendages.The allowable range of critical-size skin defect of SD rats lies between 45 and 50 mm in diameter.The concept of structural repair and the category of functional repair of injured skin are put forward.The regression equation between the structural skin healing time and defect diameters is established.Conclusion:The allowable range of skin critical-size defect of SD rats lies between 45 and 50 mm in diameter.The regression equation between the structural skin healing time and defect diameters can be used to predict the healing time for a certain skin defect size in rats.展开更多
Spinal cord injury(SCI) often results in permanent dysfunction of locomotion,sensation,and autonomic regulation,imposing a substantial burden on both individuals and society(Anjum et al.,2020).SCI has a complex pathop...Spinal cord injury(SCI) often results in permanent dysfunction of locomotion,sensation,and autonomic regulation,imposing a substantial burden on both individuals and society(Anjum et al.,2020).SCI has a complex pathophysiology:an initial primary injury(mechanical trauma,axonal disruption,and hemorrhage) is followed by a progressive secondary injury cascade that involves ischemia,neuronal loss,and inflammation.Given the challenges in achieving regeneration of the injured spinal cord,neuroprotection has been at the forefront of clinical research.展开更多
Invasive as well as non-invasive neurotechnologies conceptualized to interface the central and peripheral nervous system have been probed for the past decades,which refer to electroencephalography,electrocorticography...Invasive as well as non-invasive neurotechnologies conceptualized to interface the central and peripheral nervous system have been probed for the past decades,which refer to electroencephalography,electrocorticography and microelectrode arrays.The challenges of these mentioned approaches are characterized by the bandwidth of the spatiotemporal resolution,which in turn is essential for large-area neuron recordings(Abiri et al.,2019).展开更多
With the escalating demand for safe,sustainable,and high-performance energy storage systems,hydrogel electrolytes have emerged as promising alternatives to conventional liquid electrolytes in zinc-ion batteries.By int...With the escalating demand for safe,sustainable,and high-performance energy storage systems,hydrogel electrolytes have emerged as promising alternatives to conventional liquid electrolytes in zinc-ion batteries.By integrating the high ionic conductivity of liquid electrolytes with the mechanical robustness of solid frameworks,hydrogel electrolytes offer distinct advantages in suppressing zinc dendrite formation,enhancing interfacial stability,and enabling reliable operation under extreme environmental conditions.This review systematically summarizes the fundamental characteristics and design criteria of hydrogel electrolytes,including mechanical flexibility,ionic transport capabilities,and environmental adaptability.It further explores various compositional design strategies involving natural polymers,synthetic polymers,and composite systems,as well as the incorporation of electrolyte salts and functional additives.In addition,recent advances in functional optimization,such as anti-freezing properties,self-healing abilities,thermal responsiveness,and biocompatibility,are comprehensively discussed.Finally,the review outlines the current challenges and proposes potential directions for future research.展开更多
Liver diseases remain a global health crisis,with limited safe therapeutic options.Cornus officinalis,a traditional medicinal-edible plant,has demonstrated significant hepatoprotective potential.This review systematic...Liver diseases remain a global health crisis,with limited safe therapeutic options.Cornus officinalis,a traditional medicinal-edible plant,has demonstrated significant hepatoprotective potential.This review systematically summarizes its liver-protective mechanisms and explores its potential as a functional food.Data were collected from scientific databases such as Pub Med,Science Direct,Elsevier,Google Scholar,and relevant literature.Key bioactive compounds—including iridoids,polyphenols,and polysaccharides—contribute to hepatoprotection by mitigating oxidative stress,inflammation,steatosis,apoptosis,and by regulating gut microbiota.As critical quality markers,iridoids exhibit suboptimal bioavailability,necessitating targeted technological interventions—nanoencapsulation for liver-specific delivery and microbial fermentation for controlled aglycone conversion are proposed to enhance their pharmacokinetic properties and bioactivity.Future research could adopt encapsulation and fermentation technologies for C.officinalis processing,aiming to develop targeted functional food products with enhanced bioactivity of its active components.This review,for the first time,establishes a“component-pathway-integration”model,providing a theoretical framework for evidence-based CO-derived functional food development and highlighting the need for further research on iridoid metabolic transformation to advance liver health management.展开更多
This study investigated the suppressive effects of Armoracia rusticana(AR)and its three main glucosinolates on both free and bound heterocyclic amines(HAs),along with their mechanisms of free radical quenching using d...This study investigated the suppressive effects of Armoracia rusticana(AR)and its three main glucosinolates on both free and bound heterocyclic amines(HAs),along with their mechanisms of free radical quenching using density functional theory.Fish patties were supplemented with varying concentrations of AR(0.5%‒1.5%)and glucosinolates(0.005%‒0.015%),showing a dose-dependent inhibition of HAs and concurrent elimination of free radicals and HAs intermediates.Glucobrassicin demonstrated the highest reactivity,which was verified by frontier orbit analysis and conceptual density functional parameters,consistent with experimental findings.Furthermore,the O-H bond connected to the sulfur atom of glucobrassicin possessed the smallest bond dissociation enthalpy(BDE)value,which indicated that this particular hydrogen atom is most susceptible to react with free radicals.Overall,AR and its glucosinolates,especially glucobrassicin,show promise as natural additives for improving food safety and quality.展开更多
Carbon-based air cathodes offer low cost,high electrical conductivity,and structural tunability.However,they suffer from limited catalytic activity and inefficient gas transport,and they typically rely on noble metal ...Carbon-based air cathodes offer low cost,high electrical conductivity,and structural tunability.However,they suffer from limited catalytic activity and inefficient gas transport,and they typically rely on noble metal additives or complex multilayer configurations.To tackle these issues,this study devised a self-activated integrated carbon-based air cathode.By integrating in situ catalytic site construction with structural optimization,the strategy not only induces the formation of oxygen functional groups(─C─OH,─C═O,─COOH),hierarchical pores,and uniformly distributed active sites,but also establishes a favorable electronic and mass-transport environment.Furthermore,the roll-pressing-based integrated design streamlines electrode construction,reinforces interfacial bonding,and significantly enhances mechanical stability.Density functional theory(DFT)calculations show that oxygen functional groups initiate hydrogen bonding interaction and promote charge enrichment,which improves the activity of the cathode and facilitates intermediate adsorption/desorption in oxygen reduction and evolution reactions processes.As a result,the integrated air cathode-based rechargeable zinc-air batteries(RZABs)achieve a high specific capacity of 811 mAh g^(-1).It also performs well in quasi-solid-state RZABs and silicon-air batteries systems across a wide temperature range,demonstrating strong adaptability and application potential.This study provides a scalable and cost-effective design strategy for high-performance carbon-based air cathodes,offering new insights into advancing durable and practical metal-air energy systems.展开更多
The mature central nervous system(CNS,composed of the brain,spinal cord,olfactory and optic nerves)is unable to regenerate spontaneously after an insult,both in the cases of neurodegenerative diseases(for example Alzh...The mature central nervous system(CNS,composed of the brain,spinal cord,olfactory and optic nerves)is unable to regenerate spontaneously after an insult,both in the cases of neurodegenerative diseases(for example Alzheimer's or Parkinson's disease)or traumatic injuries(such as spinal cord lesions).In the last 20 years,the field has made significant progress in unlocking axon regrowth.展开更多
The development of brain-computer interfaces(BCI)based on motor imagery(MI)has greatly improved patients’quality of life with movement disorders.The classification of upper limb MI has been widely studied and applied...The development of brain-computer interfaces(BCI)based on motor imagery(MI)has greatly improved patients’quality of life with movement disorders.The classification of upper limb MI has been widely studied and applied in many fields,including rehabilitation.However,the physiological representations of left and right lower limb movements are too close and activated deep in the cerebral cortex,making it difficult to distinguish their features.Therefore,classifying lower limbs motor imagery is more challenging.In this study,we propose a feature extraction method based on functional connectivity,which utilizes phase-locked values to construct a functional connectivity matrix as the features of the left and right legs,which can effectively avoid the problem of physiological representations of the left and right lower limbs being too close to each other during movement.In addition,considering the topology and the temporal characteristics of the electroencephalogram(EEG),we designed a temporal-spatial convolutional network(TSGCN)to capture the spatiotemporal information for classification.Experimental results show that the accuracy of the proposed method is higher than that of existing methods,achieving an average classification accuracy of 73.58%on the internal dataset.Finally,this study explains the network mechanism of left and right foot MI from the perspective of graph theoretic features and demonstrates the feasibility of decoding lower limb MI.展开更多
Spontaneous recovery frequently proves maladaptive or insufficient because the plasticity of the injured adult mammalian central nervous system is limited.This limited plasticity serves as a primary barrier to functio...Spontaneous recovery frequently proves maladaptive or insufficient because the plasticity of the injured adult mammalian central nervous system is limited.This limited plasticity serves as a primary barrier to functional recovery after brain injury.Neuromodulation technologies represent one of the fastest-growing fields in medicine.These techniques utilize electricity,magnetism,sound,and light to restore or optimize brain functions by promoting reorganization or long-term changes that support functional recovery in patients with brain injury.Therefore,this review aims to provide a comprehensive overview of the effects and underlying mechanisms of neuromodulation technologies in supporting motor function recovery after brain injury.Many of these technologies are widely used in clinical practice and show significant improvements in motor function across various types of brain injury.However,studies report negative findings,potentially due to variations in stimulation protocols,differences in observation periods,and the severity of functional impairments among participants across different clinical trials.Additionally,we observed that different neuromodulation techniques share remarkably similar mechanisms,including promoting neuroplasticity,enhancing neurotrophic factor release,improving cerebral blood flow,suppressing neuroinflammation,and providing neuroprotection.Finally,considering the advantages and disadvantages of various neuromodulation techniques,we propose that future development should focus on closed-loop neural circuit stimulation,personalized treatment,interdisciplinary collaboration,and precision stimulation.展开更多
基金Supported by The Natural Science Foundation of China,No.82374292the Plans for Major Provincial Science and Technology Projects of Anhui Province,No.202303a07020003the Innovation Team and Talents Cultivation Program of the National Administration of Traditional Chinese Medicine,No.ZYYCXTD-C-202401.
文摘Functional gastrointestinal disorders(FGIDs),including irritable bowel syndrome(IBS),functional dyspepsia(FD),and gastroesophageal reflux disease(GERD),present persistent diagnostic and therapeutic challenges due to symptom heterogeneity and the absence of reliable biomarkers.Artificial intelligence(AI)enables the integration of multimodal data to enhance FGID management through precision diagnostics and preventive healthcare.This minireview summarizes recent advancements in AI applications for FGIDs,highlighting progress in diagnostic accuracy,subtype classification,personalized interventions,and preventive strategies inspired by the traditional Chinese medicine concept of“treating the undiseased”.Machine learning and deep learning algorithms have demonstrated value in improving IBS diagnosis,refining FD neuro-gastrointestinal subtyping,and screening for GERD-related complications.Moreover,AI supports dietary,psychological,and integrative medicine-based interventions to improve patient adherence and quality of life.Nonetheless,key challenges remain,including data heterogeneity,limited model interpretability,and the need for robust clinical validation.Future directions emphasize interdisciplinary collaboration,the development of multimodal and explainable AI models,and the creation of patientcentered platforms to facilitate a shift from reactive treatment to proactive prevention.This review provides a systematic framework to guide the clinical application and theoretical innovation of AI in FGIDs.
基金supported by National Natural Science Foundation of China[NO.11932013].
文摘This study aims to explore the impact of fatigue induced by different limb exercises on cerebral cortical oxygenation levels and functional connectivity strength using functional near-infrared spectroscopy(fNIRS).Fatigue was induced using an upper limb ergometer or a lower limb ergometer,with the load increasing gradually each minute.fNIRS covering the prefrontal cortex and motor cortex were used to collect data during the resting state,both before and after fatigue induction.A two-way ANOVA was conducted to examine differences in oxyhemoglobin(HbO_(2))and functional connectivity before and after fatigue induction in both groups,with the significance level set at 0.05.Exercise-induced fatigue in both the upper and lower limbs leads to a significant decrease in cerebral cortical oxygenation levels.Upper limb fatigue leads to a significant reduction in functional connectivity,there were significant decreases in connectivity within the motor cortex,between the motor cortex and frontal regions,and between the right ventrolateral prefrontal cortex and other frontal regions.Conversely,no significant changes were observed before and after lower limb fatigue.Future studies should focus on examining the extent to which how changes in the cerebral cortex,induced by exercise fatigue,are linked to exercise-and/or performance-related outcomes.
文摘Morocco's oat sector is shifting from forage to food,creating demand for varieties with proven processing performance.We profiled nine Moroccan oats(four parental lines,four interspecific derivatives,and one hull-less diploid check)against the key drivers of functionality:β-glucan,hydration metrics(WAI,WSI,swelling power),interfacial metrics(foam capacity/stability,emulsion capacity/stability),and kernel geometry(thousand-kernel weight/width),using SEM to interpret microstructure.Varietal differences were pronounced and actionable.The A.sativa×A.magna derivative Hamdali showed fast wetting(low WAI),strong foaming(highest FS),and high emulsion capacity.These traits make it suitable for oat drinks and large,crack-free flakes.The A.sativa×A.murphyi descendants Al Fawze and Abtah exhibited restrained swelling(lower SP)and moderate WAI/WSI,favoring crisp snacks,biscuits,and pasta;Abtah additionally delivered high emulsion stability suitable for shelf-stable beverages.Amlal and Nezha offered balanced,steerable profiles.Linkingβ-glucan,hydration,and interfacial behavior to kernel traits provides a variety-to-application map for Moroccan oats.We recommend Hamdali/Niema for foamed beverages/flakes;Tissir/Soualem for porridges and thick beverages;Abtah for pasta and stable emulsions;Al Fawze for crisp snacks/biscuits.
基金supported by grants from the Guangxi Science and Technology Major Project(GKAA24206023)the Biological Breeding-National Science and Technology Major Project(2024ZD04077)+2 种基金the National Natural Science Foundation of China(32272120)the National Key Research and Development Program of China(2024YFF1000800)the Guangdong Basic Research Center of Excellence for Precise Breeding of Future Crops Major Project(FCBRCE-202502,FCBRCE-202504).
文摘A growing global population and the increasing prevalence of diet-related health issues such as“hidden hunger”,obesity,hypertension,and diabetes necessitate a fundamental rethinking of crop design and breeding.Synthetic metabolic engineering offers a method to modify and redesign metabolic pathways to increase the nutritional value of crops.We summarize recent advances in the biofortification of key nutrients including provitamin A,vitamin C,vitamin B9,iron,zinc,anthocyanins,flavonoids,and unsaturated fatty acids.We discuss the potential of multi-gene stacking,gene editing,enzyme engineering,and artificial intelligence in synthetic metabolic engineering.We propose future research directions and potential solutions centered on leveraging AI-driven systems biology,precision gene editing,enzyme engineering,agrobacterium-mediated genotype-independent transformation,and modular metabolic engineering strategies to develop next-generation nutritionally enhanced super crops and transform global food systems.
基金supported by the National Natural Science Foundation of China(32301845)GuangDong Basic and Applied Basic Research Foundation(2022A1515012339)+3 种基金the National Key R&D Program of China(2024YFD1200801)Seed industry revitalization project of special fund for rural revitalization strategy in Guangdong Province(2024-NPY-00-001)Modern Seed Industry Innovation Capacity Enhancement Progject of Guangdong Academy of Agricultural Sciences,Elite Rice Plan of GDRRI(2023YG01)Guangdong Key Laboratory of Rice Science and Technology(2023B1212060042).
文摘Leaf thickness in rice critically influences photosynthetic efficiency and yield,yet its genetic basis remains poorly understood,with few functional genes previously characterized.In this study,we employ a pangenome-wide association study(Pan-GWAS)on 302 diverse rice accessions from southern China,identifying 49 quantitative trait loci(QTLs)associated with leaf thickness.The most significant locus,qLT9,is fine-mapped to a 79-kb region on chromosome 9.Transcriptomic and genomic sequence analyses identify LOC_Os09g33480,which encodes a protein belonging to Multiple Organellar RNA Editing Factor family,as the key candidate gene.Overexpression and complementation transgenic experiments confirm LOC_Os09g33480(OsLT9)as the functional gene underlying qLT9,demonstrating a 24-bp Indel in its promoter correlates with the expression levels and leaf thickness.Notably,OsLT9 overexpression lines show not only thicker leaf,but also significantly enhanced photosynthetic efficiency and grain yield,establishing a link between leaf thickness modulation and yield enhancement.Population genomic analyses indicate strong selection for OsLT9 during domestication and breeding,with modern cultivars favoring thick leaf haplotype of OsLT9.This study establishes OsLT9 as a key regulator controlling leaf thickness in rice,and provides a valuable genetic resource for molecular breeding of high-yielding rice through optimization of plant architecture.
文摘Food-grade biopolymers and nanotechnology have been increasingly used to revolutionize the delivery of bioactive compounds by enhancing stability,bioavailability,and controlled release.Within the scope of nanoencapsulation systems,this review explores food-derived polymers such as vicilin,zein,gluten,cruciferin,inulin,and others.These biopolymers are ideal since they encapsulate numerous functional compounds,such as vitamins,probiotics,essential oils,and polyphenols,because they are biocompatible,amphiphilic,and biodegradable.The specific physical and chemical properties of each polymer,extraction procedures,and nanoencapsulation techniques applied therein(e.g.,ionic gelation and spray drying)are described.The review highlights advanced targeting systems like pH-sensitive,magnetic delivery.Additional applications include those in synergistic nutraceutical systems,oral administration of vaccination,and intelligent food packaging.All these findings demonstrate that food polymers are increasingly more viable as functional nanocarriers by way of increasing bioactive delivery and the shifting requirements of personalized and health-based dietary regimes.
基金supported by the key project of National Natural Sciences Foundation of China(U22A20551,32030085)the Major Project of Hubei Hongshan Laboratory,China(2021hszd015)+2 种基金the Hubei Province Major Science and Technology Special Project,China(2023BBA002)the National Natural Sciences Foundation of China(U22A20551)the National Natural Science Foundation of China Excellent Youth Fund(32422072)。
文摘Aspergillus species are ubiquitous fungi that produce mycotoxins(secondary metabolites)known as sterigmatocystin and aflatoxins in many different kinds of foods,which leads to serious contamination in agricultural products,thereby endangering human health.Extensive studies on Aspergillus fungi have been conducted on growth and development,aflatoxin biosynthesis,and their interactions with environment.Here,we summarized a series of functional genes of the main Aspergillus fungi relative to toxins occurrence in foods,which revealed the signal transduction mechanisms of their involvement in growth and development,toxin production,and response to light,anticipating providing theoretical guidance on developing control and prevention technologies for mycotoxin contamination in agricultural products to ensure food safety.
基金the National Natural Science Foundation of China(Grant No.32371823)the Liaoning Province Xingliao Talents Leading Talent Program(Grant No.XLYC2402043)the Open Foundation of State Key Laboratory of Woody Oil Resources Utilization(Grant No.SKLN EFU202517).
文摘Cellulose,the dominant natural polymer on Earth,features a distinct molecular structure with extraordinary mechanical properties and tunable characteristics,making it attractive for gel systems.Although significant progress has been made,challenges remain in fully leveraging their functional potential and broadening practical applications.This review systematically examines the properties of cellulose and cellulose gels,exploring novel reinforcement strategies—across molecular,supramolecular network,and macroscale structure levels—to enhance mechanical,electrical,and thermal performance,while coordinating these properties for practical implementations.These advancements are exemplified in emerging fields such as flexible robotics,electronic skins,flexible energy storage devices,and human-machine interaction systems.This article thoroughly investigates the fundamental characteristics,multi-scale design approaches,performance enhancement mechanisms,and cutting-edge implementations of cellulose-based gels across diverse domains.It provides a comprehensive overview of these advanced materials and offers strategic insights and recommendations for future research and innovation.
基金supported by the National Natural Science Foundation of China(52276196)the Foundation of State Key Laboratory of Coal Combustion(FSKLCCA2508)the High-level Talent Foundation of Anhui Agricultural University(rc412307).
文摘Flash Joule heating(FJH),as a high-efficiency and low-energy consumption technology for advanced materials synthesis,has shown significant potential in the synthesis of graphene and other functional carbon materials.Based on the Joule effect,the solid carbon sources can be rapidly heated to ultra-high temperatures(>3000 K)through instantaneous high-energy current pulses during FJH,thus driving the rapid rearrangement and graphitization of carbon atoms.This technology demonstrates numerous advantages,such as solvent-and catalyst-free features,high energy conversion efficiency,and a short process cycle.In this review,we have systematically summarized the technology principle and equipment design for FJH,as well as its raw materials selection and pretreatment strategies.The research progress in the FJH synthesis of flash graphene,carbon nanotubes,graphene fibers,and anode hard carbon,as well as its by-products,is also presented.FJH can precisely optimize the microstructures of carbon materials(e.g.,interlayer spacing of turbostratic graphene,defect concentration,and heteroatom doping)by regulating its operation parameters like flash voltage and flash time,thereby enhancing their performances in various applications,such as composite reinforcement,metal-ion battery electrodes,supercapacitors,and electrocatalysts.However,this technology is still challenged by low process yield,macroscopic material uniformity,and green power supply system construction.More research efforts are also required to promote the transition of FJH from laboratory to industrial-scale applications,thus providing innovative solutions for advanced carbon materials manufacturing and waste management toward carbon neutrality.
基金Supported by Suzhou Clinical Medical Center for Mood Disorders,No.Szlcyxzx202109Suzhou Key Laboratory,No.SZS2024016Multicenter Clinical Research on Major Diseases in Suzhou,No.DZXYJ202413.
文摘BACKGROUND Suicide constitutes the second leading cause of death among adolescents globally and represents a critical public health concern.The neural mechanisms underlying suicidal behavior in adolescents with major depressive disorder(MDD)remain poorly understood.Aberrant resting-state functional connectivity(rsFC)in the amygdala,a key region implicated in emotional regulation and threat detection,is strongly implicated in depression and suicidal behavior.AIM To investigate rsFC alterations between amygdala subregions and whole-brain networks in adolescent patients with depression and suicide attempts.METHODS Resting-state functional magnetic resonance imaging data were acquired from 32 adolescents with MDD and suicide attempts(sMDD)group,33 adolescents with MDD but without suicide attempts(nsMDD)group,and 34 demographically matched healthy control(HC)group,with the lateral and medial amygdala(MeA)defined as regions of interest.The rsFC patterns of amygdala subregions were compared across the three groups,and associations between aberrant rsFC values and clinical symptom severity scores were examined.RESULTS Compared with the nsMDD group,the sMDD group exhibited reduced rsFC between the right lateral amygdala(LA)and the right inferior occipital gyrus as well as the left middle occipital gyrus.Compared with the HC group,the abnormal brain regions of rsFC in the sMDD group and nsMDD group involve the parahippocampal gyrus(PHG)and fusiform gyrus.In the sMDD group,right MeA and right temporal pole:Superior temporal gyrus rsFC value negatively correlated with the Rosenberg Self-Esteem Scale scores(r=-0.409,P=0.025),while left LA and right PHG rsFC value positively correlated with the Adolescent Self-Rating Life Events Checklist interpersonal relationship scores(r=0.372,P=0.043).CONCLUSION Aberrant rsFC changes between amygdala subregions and these brain regions provide novel insights into the underlying neural mechanisms of suicide attempts in adolescents with MDD.
基金National Key Research and Development Program of China,Grant/Award Number:2023YFC2410403。
文摘Background:Rats are often used to prepare skin defect models.However,the skin defect sizes of the models prepared by researchers are different,and the lack of consensus on the critical-size defect makes it difficult to compare their research results.Methods:The time for wound closure was evaluated and recorded through gross observation.The regression equation between the healing time and the diameter of skin defect was established,which can be used to predict the healing time for a certain skin defect size in rats.Histochemical and immunohistochemical staining was used to observe the regeneration and reconstruction of skin appendages,and the functional skin repair was quantitatively scored.Results:The critical-size defect of rats was determined based on the maximum capacity of structural skin repair,and the functional skin repair was quantitatively scored based on the regeneration and reconstruction of skin appendages.The allowable range of critical-size skin defect of SD rats lies between 45 and 50 mm in diameter.The concept of structural repair and the category of functional repair of injured skin are put forward.The regression equation between the structural skin healing time and defect diameters is established.Conclusion:The allowable range of skin critical-size defect of SD rats lies between 45 and 50 mm in diameter.The regression equation between the structural skin healing time and defect diameters can be used to predict the healing time for a certain skin defect size in rats.
文摘Spinal cord injury(SCI) often results in permanent dysfunction of locomotion,sensation,and autonomic regulation,imposing a substantial burden on both individuals and society(Anjum et al.,2020).SCI has a complex pathophysiology:an initial primary injury(mechanical trauma,axonal disruption,and hemorrhage) is followed by a progressive secondary injury cascade that involves ischemia,neuronal loss,and inflammation.Given the challenges in achieving regeneration of the injured spinal cord,neuroprotection has been at the forefront of clinical research.
文摘Invasive as well as non-invasive neurotechnologies conceptualized to interface the central and peripheral nervous system have been probed for the past decades,which refer to electroencephalography,electrocorticography and microelectrode arrays.The challenges of these mentioned approaches are characterized by the bandwidth of the spatiotemporal resolution,which in turn is essential for large-area neuron recordings(Abiri et al.,2019).
基金financially supported by the Guangdong Major Project of Basic Research(No.2023B0303000002)Shenzhen Science and Technology Plan Project(No.SGDX20230116091644003)+3 种基金Shenzhen Key Laboratory of Advanced Energy Storage(No.ZDSYS20220401141000001)high-level special funds(No.G03034K001)the Guangxi Key Technologies R&D Program(AB23075171,AB25069180)National Natural Science Foundation of China(22265007,52263016)。
文摘With the escalating demand for safe,sustainable,and high-performance energy storage systems,hydrogel electrolytes have emerged as promising alternatives to conventional liquid electrolytes in zinc-ion batteries.By integrating the high ionic conductivity of liquid electrolytes with the mechanical robustness of solid frameworks,hydrogel electrolytes offer distinct advantages in suppressing zinc dendrite formation,enhancing interfacial stability,and enabling reliable operation under extreme environmental conditions.This review systematically summarizes the fundamental characteristics and design criteria of hydrogel electrolytes,including mechanical flexibility,ionic transport capabilities,and environmental adaptability.It further explores various compositional design strategies involving natural polymers,synthetic polymers,and composite systems,as well as the incorporation of electrolyte salts and functional additives.In addition,recent advances in functional optimization,such as anti-freezing properties,self-healing abilities,thermal responsiveness,and biocompatibility,are comprehensively discussed.Finally,the review outlines the current challenges and proposes potential directions for future research.
基金funded by the Major Science and Technology Project of Henan Province(231100310200)the National Key Research and Development Program(2023YFF1103804).
文摘Liver diseases remain a global health crisis,with limited safe therapeutic options.Cornus officinalis,a traditional medicinal-edible plant,has demonstrated significant hepatoprotective potential.This review systematically summarizes its liver-protective mechanisms and explores its potential as a functional food.Data were collected from scientific databases such as Pub Med,Science Direct,Elsevier,Google Scholar,and relevant literature.Key bioactive compounds—including iridoids,polyphenols,and polysaccharides—contribute to hepatoprotection by mitigating oxidative stress,inflammation,steatosis,apoptosis,and by regulating gut microbiota.As critical quality markers,iridoids exhibit suboptimal bioavailability,necessitating targeted technological interventions—nanoencapsulation for liver-specific delivery and microbial fermentation for controlled aglycone conversion are proposed to enhance their pharmacokinetic properties and bioactivity.Future research could adopt encapsulation and fermentation technologies for C.officinalis processing,aiming to develop targeted functional food products with enhanced bioactivity of its active components.This review,for the first time,establishes a“component-pathway-integration”model,providing a theoretical framework for evidence-based CO-derived functional food development and highlighting the need for further research on iridoid metabolic transformation to advance liver health management.
基金supported by the National Natural Science Foundation of China(32302258,32172317)the Science and Technology Innovation Program of Hunan Province(2024RC3185)+1 种基金Hunan Provincial Natural Science Foundation of China(2023JJ40317)Changsha Municipal Natural Science Foundation(kq2202223).
文摘This study investigated the suppressive effects of Armoracia rusticana(AR)and its three main glucosinolates on both free and bound heterocyclic amines(HAs),along with their mechanisms of free radical quenching using density functional theory.Fish patties were supplemented with varying concentrations of AR(0.5%‒1.5%)and glucosinolates(0.005%‒0.015%),showing a dose-dependent inhibition of HAs and concurrent elimination of free radicals and HAs intermediates.Glucobrassicin demonstrated the highest reactivity,which was verified by frontier orbit analysis and conceptual density functional parameters,consistent with experimental findings.Furthermore,the O-H bond connected to the sulfur atom of glucobrassicin possessed the smallest bond dissociation enthalpy(BDE)value,which indicated that this particular hydrogen atom is most susceptible to react with free radicals.Overall,AR and its glucosinolates,especially glucobrassicin,show promise as natural additives for improving food safety and quality.
基金funded by the National Nature Science Foundation of China(62264006,62574102)“Thousand Talents Program”of Yunnan Province for Young Talents,Innovative Research Teams(in Science and Technology)in the University of Yunnan Province(IRTSTYN),XingDian Talent Support Program for Young Talents,and Frontier Research Team of Kunming University 2023,The Basic Research Project of Yunnan Province(Nos.202201AU070022)+2 种基金Kunming University Talent Introduction Fund(Nos.YJL20024)Yunnan Province Education Department Scientific Research Fund Project(Nos.2024Y759)Undergraduate Innovation and Entrepreneurship Training Program Project of Yunnan Provincial(202411393005)。
文摘Carbon-based air cathodes offer low cost,high electrical conductivity,and structural tunability.However,they suffer from limited catalytic activity and inefficient gas transport,and they typically rely on noble metal additives or complex multilayer configurations.To tackle these issues,this study devised a self-activated integrated carbon-based air cathode.By integrating in situ catalytic site construction with structural optimization,the strategy not only induces the formation of oxygen functional groups(─C─OH,─C═O,─COOH),hierarchical pores,and uniformly distributed active sites,but also establishes a favorable electronic and mass-transport environment.Furthermore,the roll-pressing-based integrated design streamlines electrode construction,reinforces interfacial bonding,and significantly enhances mechanical stability.Density functional theory(DFT)calculations show that oxygen functional groups initiate hydrogen bonding interaction and promote charge enrichment,which improves the activity of the cathode and facilitates intermediate adsorption/desorption in oxygen reduction and evolution reactions processes.As a result,the integrated air cathode-based rechargeable zinc-air batteries(RZABs)achieve a high specific capacity of 811 mAh g^(-1).It also performs well in quasi-solid-state RZABs and silicon-air batteries systems across a wide temperature range,demonstrating strong adaptability and application potential.This study provides a scalable and cost-effective design strategy for high-performance carbon-based air cathodes,offering new insights into advancing durable and practical metal-air energy systems.
基金supported by ANR(ANR-21CE16-0008-01)ANR(ANR-21-CE16-0008-02 and ANR-23CE52-0007)+1 种基金UNADEV(A22018CS)(to HN)UNADEV(A22020CS)(to SB)。
文摘The mature central nervous system(CNS,composed of the brain,spinal cord,olfactory and optic nerves)is unable to regenerate spontaneously after an insult,both in the cases of neurodegenerative diseases(for example Alzheimer's or Parkinson's disease)or traumatic injuries(such as spinal cord lesions).In the last 20 years,the field has made significant progress in unlocking axon regrowth.
基金supported in part by the National Natural Science Foundation of China under Grant 62172368the Natural Science Foundation of Zhejiang Province under Grant LR22F020003.
文摘The development of brain-computer interfaces(BCI)based on motor imagery(MI)has greatly improved patients’quality of life with movement disorders.The classification of upper limb MI has been widely studied and applied in many fields,including rehabilitation.However,the physiological representations of left and right lower limb movements are too close and activated deep in the cerebral cortex,making it difficult to distinguish their features.Therefore,classifying lower limbs motor imagery is more challenging.In this study,we propose a feature extraction method based on functional connectivity,which utilizes phase-locked values to construct a functional connectivity matrix as the features of the left and right legs,which can effectively avoid the problem of physiological representations of the left and right lower limbs being too close to each other during movement.In addition,considering the topology and the temporal characteristics of the electroencephalogram(EEG),we designed a temporal-spatial convolutional network(TSGCN)to capture the spatiotemporal information for classification.Experimental results show that the accuracy of the proposed method is higher than that of existing methods,achieving an average classification accuracy of 73.58%on the internal dataset.Finally,this study explains the network mechanism of left and right foot MI from the perspective of graph theoretic features and demonstrates the feasibility of decoding lower limb MI.
基金supported by the National Natural Science Foundation of China,No.82371399(to YY)the Natural Science Foundation of Jiangsu Province,No.BK20221206(to YY)+1 种基金the Young Elite Scientists Sponsorship Program of Jiangsu Province,No.TJ-2022-028(to YY)the Scientific Research Program of Wuxi Health Commission,No.Z202302(to LY)。
文摘Spontaneous recovery frequently proves maladaptive or insufficient because the plasticity of the injured adult mammalian central nervous system is limited.This limited plasticity serves as a primary barrier to functional recovery after brain injury.Neuromodulation technologies represent one of the fastest-growing fields in medicine.These techniques utilize electricity,magnetism,sound,and light to restore or optimize brain functions by promoting reorganization or long-term changes that support functional recovery in patients with brain injury.Therefore,this review aims to provide a comprehensive overview of the effects and underlying mechanisms of neuromodulation technologies in supporting motor function recovery after brain injury.Many of these technologies are widely used in clinical practice and show significant improvements in motor function across various types of brain injury.However,studies report negative findings,potentially due to variations in stimulation protocols,differences in observation periods,and the severity of functional impairments among participants across different clinical trials.Additionally,we observed that different neuromodulation techniques share remarkably similar mechanisms,including promoting neuroplasticity,enhancing neurotrophic factor release,improving cerebral blood flow,suppressing neuroinflammation,and providing neuroprotection.Finally,considering the advantages and disadvantages of various neuromodulation techniques,we propose that future development should focus on closed-loop neural circuit stimulation,personalized treatment,interdisciplinary collaboration,and precision stimulation.
