Rapid evolution and propagation of multidrug resistance among bacterial pathogens are outpacing the development of new antibiotics,but antimicrobial photodynamic therapy(aPDT)provides an excellent alternative.This tre...Rapid evolution and propagation of multidrug resistance among bacterial pathogens are outpacing the development of new antibiotics,but antimicrobial photodynamic therapy(aPDT)provides an excellent alternative.This treatment depends on the interaction between light and photoactivated sensitizer to generate reactive oxygen species(ROS),which are highly cytotoxic to induce apoptosis in virtually all microorganisms without resistance concern.When replacing light with low-frequency ultrasonic wave to activate sensitizer,a novel ultrasounddriven treatment emerges as antimicrobial sonodynamic therapy(aSDT).Recent advances in aPDT and aSDT reveal golden opportunities for the management of multidrug resistant bacterial infections,especially in the theranostic application where imaging diagnosis can be accomplished facilely with the inherent optical characteristics of sensitizers,and the generated ROS by aPDT/SDT cause broad-spectrum oxidative damage for sterilization.In this review,we systemically outline the mechanisms,targets,and current progress of aPDT/SDT for bacterial theranostic application.Furthermore,potential limitations and future perspectives are also highlighted.展开更多
Attention deficit hyperactivity disorder（ADHD）is a common childhood neuropsychiatric disorder that has been linked to the dopaminergic system. This study aimed to investigate the effects of regulation of the dopamin...Attention deficit hyperactivity disorder（ADHD）is a common childhood neuropsychiatric disorder that has been linked to the dopaminergic system. This study aimed to investigate the effects of regulation of the dopamine D4 receptor（DRD4） on functional brain activity during the resting state in ADHD children using the methods of regional homogeneity（Re Ho） and functional connectivity（FC）. Resting-state functional magnetic resonance imaging data were analyzed in 49 children with ADHD. All participants were classified as either carriers of the DRD44-repeat/4-repeat（4 R/4 R） allele（n = 30） or the DRD42-repeat（2 R） allele（n = 19）. The results showed that participants with the DRD4 2 R allele had decreased Re Ho bilaterally in the posterior lobes of the cerebellum, while Re Ho was increased in the left angular gyrus. Compared with participants carrying the DRD4 4 R/4 R allele, those with the DRD4 2 R allele showed decreased FC to the left angular gyrus in the left striatum, right inferior frontal gyrus, and bilateral lobes of the cerebellum. The increased FC regions included the left superior frontal gyrus, medial frontal gyrus, and rectus gyrus. These data suggest that the DRD4 polymorphisms are associated with localized brain activity and specific functional connections, including abnormality in the frontal-striatal-cerebellar loop. Our study not only enhances the understanding of the correlation between the cerebellar lobes and ADHD, but also provides an imaging basis for explaining the neural mechanisms underlying ADHD in children.展开更多
Carbon nanodots(CDs) based fluorescent nanoprobes have recently drawn much attention in chemo-/bio-sensing and bioimaging.However,it is still challenging to integrate the colorimetric and fluorometric dual readouts in...Carbon nanodots(CDs) based fluorescent nanoprobes have recently drawn much attention in chemo-/bio-sensing and bioimaging.However,it is still challenging to integrate the colorimetric and fluorometric dual readouts into a single CD.Herein,novel hybrid CDs(HCDs) are prepared by a simple microwave-assisted reaction of citric acid(CA),branched polyethyleneimine(BPEI) and potassium thiocyanate(KSCN).As-prepared HCDs show extraordinary properties,including excitation-dependent emission,satisfactory fluorescence quantum yield(46.8%),excellent biocompatibility and optical stability.Significantly,the fluorescence intensity at 450 nm exhibits linear correlation over the Fe^(3+)concentration from 1 mmol/L to 150 mmol/L with a detection limit(LOD) of 52 nmol/L.Meanwhile,the solution color changes from colorless to orange,and the absorbance at 460 nm increased linearly with Fe^(3+)concentration ranging from 0.02 mmol/L to 5 mmol/L(LOD:3.4 mmol/L).All the evidence illustrates that the HCDs can be conditioned for specific Fe^(3+)sensing with colorimetric and fluorometric dual readouts,which has also been verified with paper-based microchips.The possible mechanism is attributed to the specific interactions between surface functional groups on the HCDs and Fe^(3+).Additionally,the HCDs are successfully applied in sensing Fe^(3+)in wastewater and living cells,demonstrating its potential applications in future environment monitoring and disease diagnosis.展开更多
In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and the...In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical practice.However,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results interpretation.The lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection systems.After reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular diseases.With further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools.展开更多
基金supported by the National Key Research and Development Program of China(2017YFA0205201 and 2016YFC0106900)the National Natural Science Foundation of China(81925019,81422023,81701752,81901808,and U1705281)+2 种基金the Fundamental Research Funds for the Central Universities(20720200019 and 20720190088)the Program for New Century Excellent Talents in University,China(No.NCET-13-0502)the China Postdoctoral Science Foundation(2019M662545)。
文摘Rapid evolution and propagation of multidrug resistance among bacterial pathogens are outpacing the development of new antibiotics,but antimicrobial photodynamic therapy(aPDT)provides an excellent alternative.This treatment depends on the interaction between light and photoactivated sensitizer to generate reactive oxygen species(ROS),which are highly cytotoxic to induce apoptosis in virtually all microorganisms without resistance concern.When replacing light with low-frequency ultrasonic wave to activate sensitizer,a novel ultrasounddriven treatment emerges as antimicrobial sonodynamic therapy(aSDT).Recent advances in aPDT and aSDT reveal golden opportunities for the management of multidrug resistant bacterial infections,especially in the theranostic application where imaging diagnosis can be accomplished facilely with the inherent optical characteristics of sensitizers,and the generated ROS by aPDT/SDT cause broad-spectrum oxidative damage for sterilization.In this review,we systemically outline the mechanisms,targets,and current progress of aPDT/SDT for bacterial theranostic application.Furthermore,potential limitations and future perspectives are also highlighted.
基金supported by the Natural Science Foundation of Zhejiang Province, China (No. LY14H180006, LQ18H090009)the Natural Science Foundation of Jiangsu Province (BK20160142)
文摘Attention deficit hyperactivity disorder（ADHD）is a common childhood neuropsychiatric disorder that has been linked to the dopaminergic system. This study aimed to investigate the effects of regulation of the dopamine D4 receptor（DRD4） on functional brain activity during the resting state in ADHD children using the methods of regional homogeneity（Re Ho） and functional connectivity（FC）. Resting-state functional magnetic resonance imaging data were analyzed in 49 children with ADHD. All participants were classified as either carriers of the DRD44-repeat/4-repeat（4 R/4 R） allele（n = 30） or the DRD42-repeat（2 R） allele（n = 19）. The results showed that participants with the DRD4 2 R allele had decreased Re Ho bilaterally in the posterior lobes of the cerebellum, while Re Ho was increased in the left angular gyrus. Compared with participants carrying the DRD4 4 R/4 R allele, those with the DRD4 2 R allele showed decreased FC to the left angular gyrus in the left striatum, right inferior frontal gyrus, and bilateral lobes of the cerebellum. The increased FC regions included the left superior frontal gyrus, medial frontal gyrus, and rectus gyrus. These data suggest that the DRD4 polymorphisms are associated with localized brain activity and specific functional connections, including abnormality in the frontal-striatal-cerebellar loop. Our study not only enhances the understanding of the correlation between the cerebellar lobes and ADHD, but also provides an imaging basis for explaining the neural mechanisms underlying ADHD in children.
基金Financial support for this work came from the Project of Henan Provincial Medical Science and Technology Research Plan (No.SBGJ202002086)Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instruments (No.2020B1212060077)Natural Science Foundation of China (Nos.81901808,81701752, 81601470)。
文摘Carbon nanodots(CDs) based fluorescent nanoprobes have recently drawn much attention in chemo-/bio-sensing and bioimaging.However,it is still challenging to integrate the colorimetric and fluorometric dual readouts into a single CD.Herein,novel hybrid CDs(HCDs) are prepared by a simple microwave-assisted reaction of citric acid(CA),branched polyethyleneimine(BPEI) and potassium thiocyanate(KSCN).As-prepared HCDs show extraordinary properties,including excitation-dependent emission,satisfactory fluorescence quantum yield(46.8%),excellent biocompatibility and optical stability.Significantly,the fluorescence intensity at 450 nm exhibits linear correlation over the Fe^(3+)concentration from 1 mmol/L to 150 mmol/L with a detection limit(LOD) of 52 nmol/L.Meanwhile,the solution color changes from colorless to orange,and the absorbance at 460 nm increased linearly with Fe^(3+)concentration ranging from 0.02 mmol/L to 5 mmol/L(LOD:3.4 mmol/L).All the evidence illustrates that the HCDs can be conditioned for specific Fe^(3+)sensing with colorimetric and fluorometric dual readouts,which has also been verified with paper-based microchips.The possible mechanism is attributed to the specific interactions between surface functional groups on the HCDs and Fe^(3+).Additionally,the HCDs are successfully applied in sensing Fe^(3+)in wastewater and living cells,demonstrating its potential applications in future environment monitoring and disease diagnosis.
基金Project supported by the Key Program of the National Natural Sci-ence Foundation of China(Grant Nos.81830057 and 82230068)the Young Scientists Fund of the National Natural Science Foundation of China(Grant No.82102155).
文摘In recent years,with the development of artificial intelligence,especially deep learning technology,researches on automatic detection of cerebrovascular diseases on medical images have made tremendous progress and these models are gradually entering into clinical practice.However,because of the complexity and flexibility of the deep learning algorithms,these researches have great variability on model building,validation process,performance description and results interpretation.The lack of a reliable,consistent,standardized design protocol has,to a certain extent,affected the progress of clinical translation and technology development of computer aided detection systems.After reviewing a large number of literatures and extensive discussion with domestic experts,this position paper put forward recommendations of standardized design on the key steps of deep learning-based automatic image detection models for cerebrovascular diseases.With further research and application expansion,this position paper would continue to be updated and gradually extended to evaluate the generalizability and clinical application efficacy of such tools.
