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Mitochondria-specific near-infrared photoactivation of peroxynitrite upconversion luminescent nanogenerator for precision cancer gas therapy

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Acta Pharmaceutica Sinica B 2024年第1期14卷 378-391页

作者： Hui Yu Aliya Tiemuer Xufeng Yao Mingyuan Zuo Hai-Yan Wang Yi Liu Xiaoyuan Chen Department of biomedical Engineering School of EngineeringChina Pharmaceutical UniversityNanjing 211198China School of Mechanical Engineering Southeast UniversityNanjing 211189China Departments of Diagnostic radiology SurgeryChemical and Biomolecular Engineeringand Biomedical EngineeringYong Loo Lin School of Medicine and College of Design and EngineeringNational University of SingaporeSingapore 119074Singapore Clinical imaging Research Centre Centre for Translational MedicineYong Loo Lin School of MedicineNational University of SingaporeSingapore 117599Singapore Nanomedicine Translational Research Program Yong Loo Lin School of MedicineNational University of SingaporeSingapore 117597Singapore Institute of Molecular and Cell Biology Agency for ScienceTechnologyand Research(A*STAR)ProteosSingapore 138673Singapore

Gas therapy is emerging as a highly promising therapeutic strategy for cancer treatment.However,there are limitations,including the lack of targeted subcellular organelle accuracy and spatiotemporal release precision,associated with gas therapy.In this study,we developed a series of photoactivatable nitric oxide(NO)donors NRh-R-NO(R=Me,Et,Bn,iPr,and Ph)based on an N-nitrosated upconversion luminescent rhodamine scaffold.Under the irradiation of 808 nm light,only NRh-Ph-NO could effectively release NO and NRh-Ph with a significant turn-on frequency upconversion luminescence(FUCL)signal at 740 nm,ascribed to lower N-N bond dissociation energy.We also investigated the involved multistage near-infrared-controlled cascade release of gas therapy,including the NO released from NRh-Ph-NO along with one NRh-Ph molecule generation,the superoxide anion O_(2)^(⋅−)produced by the photodynamic therapy(PDT)effect of NRh-Ph,and highly toxic peroxynitrite anion(ONOO‒)generated from the co-existence of NO and O_(2)^(⋅−).After mild nano-modification,the nanogenerator(NRh-Ph-NO NPs)empowered with superior biocompatibility could target mitochondria.Under an 808 nm laser irradiation,NRh-Ph-NO NPs could induce NO/ROS to generate RNS,causing a decrease in the mitochondrial membrane potential and initiating apoptosis by caspase-3 activation,which further induced tumor immunogenic cell death(ICD).In vivo therapeutic results of NRh-Ph-NO NPs showed augmented RNS-potentiated gas therapy,demonstrating excellent biocompatibility and effective tumor inhibition guided by real-time FUCL imaging.Collectively,this versatile strategy defines the targeted RNS-mediated cancer therapy.

关键词： Near infrared Photo-triggered Mitochondrion Upconversion luminescent bioimaging Peroxynitrite Nanogenerator Gas therapy In vivo

From strength to precision: A systematic review exploring the clinical utility of 7-Tesla magnetic resonance imaging in abdominal imaging

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World Journal of radiology 2024年第1期16卷 20-31页

作者： Arosh S Perera Molligoda Arachchige Ana Claudia Teixeira de Castro Gonçalves Ortega Federica Catapano Letterio S Politi Michael N Hoff Faculty of Medicine Humanitas UniversityPieve Emanuele 20072MilanItaly Department of biomedical Sciences Humanitas UniversityPieve Emanuele 20072MilanItaly IRCCS Humanitas Research Hospital Rozzano 20089MilanItaly Department of Neuroradiology IRCCS Humanitas Research HospitalRozzano 20089MilanItaly Department of radiology and biomedical imaging University of CaliforniaSan FranciscoCA 94143United States

BACKGROUND After approval for clinical use in 2017 early investigations of ultra-high-field abdominal magnetic resonance imaging(MRI)have demonstrated the feasibility as well as diagnostic capabilities of liver,kidney,and prostate MRI at 7-Tesla.However,the elevation of the field strength to 7-Tesla not only brought advantages to abdominal MRI but also presented considerable challenges and drawbacks,primarily stemming from heightened artifacts and limitations in Specific Absorption Rate,etc.Furthermore,evidence in the literature is relatively scarce concerning human studies in comparison to phantom/animal studies which necessitates an investigation into the evidence so far in humans and summarizing all relevant evidence.AIM To offer a comprehensive overview of current literature on clinical abdominal 7T MRI that emphasizes current trends,details relevant challenges,and provides a concise set of potential solutions.METHODS This systematic review adheres to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.A PubMed search,utilizing Medical Subject Headings terms such as"7-Tesla"and organ-specific terms,was conducted for articles published between January 1,1985,and July 25,2023.Eligibility criteria included studies exploring 7T MRI for imaging human abdominal organs,encompassing various study types(in-vivo/ex-vivo,method development,reviews/meta-analyses).Exclusion criteria involved animal studies and those lacking extractable data.Study selection involved initial identification via title/abstract,followed by a full-text review by two researchers,with discrepancies resolved through discussion.Data extraction covered publication details,study design,population,sample size,7T MRI protocol,image characteristics,endpoints,and conclusions.RESULTS The systematic review included a total of 21 studies.The distribution of clinical 7T abdominal imaging studies revealed a predominant focus on the prostate(n=8),followed by the kidney(n=6)and the hepatobiliary system(n=5).Studies on these organs,and

关键词： 7-Tesla magnetic resonance imaging Abdominal Prostate Kidney Renal Pancreas Hepatobiliary Liver Small bowel

Ensemble Attention Guided Multi-SEANet Trained with Curriculum Learning for Noninvasive Prediction of Gleason Grade Groups from MRI

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Journal of Shanghai Jiaotong university(Science) 2024年第1期29卷 109-119页

作者：沈傲胡冀苏金鹏飞周志勇钱旭升郑毅包婕王希明戴亚康 School of Computer Science and Technology Changchun University of Science and TechnologyChangchun 130022China Suzhou Institute of biomedical Engineering and Technology Chinese Academy of SciencesSuzhou 215163JiangsuChina School of biomedical Engineering(SooChow) University of Science and Technology of ChinaSuzhou 215163JiangsuChina Department of radiology The First Afiliated Hospital of Soochow UniversitySuzhou 215006JiangsuChina

The Gleason grade group(GG)is an important basis for assessing the malignancy of prostate can-cer,but it requires invasive biopsy to obtain pathology.To noninvasively evaluate GG,an automatic prediction method is proposed based on multi-scale convolutional neural network of the ensemble attention module trained with curriculum learning.First,a lesion-attention map based on the image of the region of interest is proposed in combination with the bottleneck attention module to make the network more focus on the lesion area.Second,the feature pyramid network is combined to make the network better learn the multi-scale information of the lesion area.Finally,in the network training,a curriculum based on the consistency gap between the visual evaluation and the pathological grade is proposed,which further improves the prediction performance of the network.Ex-perimental results show that the proposed method is better than the traditional network model in predicting GG performance.The quadratic weighted Kappa is 0.4711 and the positive predictive value for predicting clinically significant cancer is 0.9369.

关键词： prostate cancer Gleason grade groups(GGs) bi-parametric magnetic resonance imaging deep learn-ing curriculum learning

The Protocol of Ultrasonic Backscatter Measurements of Musculoskeletal Properties

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Phenomics

Phenomics 2024年第1期4卷 72-80页

作者： Dongsheng Bi Lingwei Shi Boyi Li Ying Li Chengcheng Liu Lawrence HLe Jingchun Luo Sijia Wang Dean Ta Center for biomedical Engineering School of InformationScience and TechnologyFudan University2005 SonghuRoadYangpu DistrictShanghai 200438China Academy for Engineering and Technology Fudan UniversityShanghai 200433China Department of radiology and Diagnostic imaging University of AlbertaEdmonton T6G2B7Canada Human Phenome Institute Fudan UniversityShanghai 201203China Shanghai Institute of Nutrition and Health Chinese Academyof SciencesShanghai 200031China

This study aims to introduce the protocol for ultrasonic backscatter measurements of musculoskeletal properties based on a novel ultrasonic backscatter bone diagnostic(UBBD)instrument.Dual-energy X-ray absorptiometry(DXA)can be adopted to measure bone mineral density(BMD)in the hip,spine,legs and the whole body.The muscle and fat mass in the legs and the whole body can be also calculated by DXA body composition analysis.Based on the proposed protocol for backscatter measurements by UBBD,ultrasonic backscatter signals can be measured in vivo,deriving three backscatter parameters[apparent integral backscatter(AIB),backscatter signal peak amplitude(BSPA)and the corresponding arrival time(BSPT)].AIB may provide important diagnostic information about bone properties.BSPA and BSPT may be important indicators of muscle and fat properties.The standardized backscatter measurement protocol of the UBBD instrument may have the potential to evaluate musculoskeletal characteristics,providing help for promoting the application of the backscatter technique in the clinical diagnosis of musculoskeletal disorders(MSDs),such as osteoporosis and muscular atrophy.

关键词： Ultrasonic backscatter Musculoskeletal disorders Bone mineral density Muscle mass Fat mass

De-convolution and De-noising of SAR Based GPS Images Using Hybrid Particle Swarm Optimization

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Chinese Journal of Electronics 2023年第1期32卷 166-176页

作者： Rizwan Sadiq Muhammad Bilal Qureshi Muhammad Mohsin Khan dept.of Electrical and Electronic Engineering Koc University dept.of Electrical and Computer Engineering COMSATS University dept.of radiology and biomedical imaging Yale University Sino-Pak Center for Artificial Intelligence (SPCAI) Pak-Austria Fachhochschule:Institute of Applied Sciences and Technology (PAF-IAST)

Synthetic aperture radar(SAR) imaging is an efficient strategy which exploits the properties of microwaves to capture images. A major concern in SAR imaging is the reconstruction of image from back scattered signals in the presence of noise. The reflected signal consist of more noise than the target signal and it is a challenging problem to reduce the noise in the collected signal for better reconstruction of an image. Current studies mostly focus on filtering techniques for noise removal. This can result in an undesirable point spread function causing extreme smearing effect in the desired image. In order to handle this problem, a computational technique, particle swarm optimization(PSO) is used for de-noising purpose and later the target performance is further improved by an amalgamation of Wiener filter.Moreover, to improve the de-noising performance we have exploited the singular value decomposition based morphological filtering. To justify the proposed improvements we have simulated the proposed techniques and results are compared with the conventional existing models. The proposed method revealed considerable decrease in mean square error compared to Wiener filter and PSO techniques. Quantitative analysis of image restoration quality are also presented in comparison with Wiener filter and PSO based on the improvement in signal to noise ratio and peak signal to noise ratio.

关键词： Remote sensing Synthetic aperture radar imaging Wiener filter Particle swarm optimization

Subjective cognitive decline domain improves accuracy of plasma Aβ42/Aβ40for preclinical Alzheimer’s disease diagnosis: The SILCODE study

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中华医学杂志(英文版) 2024年第9期137卷 1127-1129页

作者： Zhang Mingkai Wang Xiaoni Zhao Weina Li Yuxia Ying Chao Jiang Jiehui Cai Yanning Lu Jie Han Ying Key Laboratory of Neurodegenerative Diseases Ministry of Education Beijing China School of biomedical Engineering Hainan University Haikou Hainan China Center of Alzheimer’s Disease Beijing Institute for Brain Disorders Beijing China National Clinical Research Center for Geriatric Disorders Beijing China Institute of biomedical Engineering Shenzhen Bay Laboratory Shenzhen Guangdong China Department of Neurology Xuanwu Hospital of Capital Medical University Beijing China Department of Neurology Sir Run Run Shaw Hospital Affiliated with School of Medicine Zhejiang University Hangzhou Zhejiang China Department of Neurology Hongqi Hospital Affiliated to Mudanjiang Medical University Mudanjiang Heilongjiang China Heilongjiang Key Laboratory of Ischemic Stroke Prevention and Treatment Mudanjiang Heilongjiang China Department of Neurology Tangshan Central Hospital Tangshan Hebei China Department of Neurobiology Xuanwu Hospital of Capital Medical University Key Laboratory for Neurodegenerative Diseases of the Ministry of Education Beijing China Institute for Advanced Communication and Data Science Shanghai University Shanghai China Department of radiology and Nuclear Medicine Xuanwu Hospital Capital Medical University Beijing China Beijing Key Laboratory of Magnetic Resonance imaging and Brain Informatics Beijing China

To the Editor:Accumulating evidence has shown that the preclinical stage of Alzheimer's disease (AD) (i.e.,asymptomatic amyloidosis) lasts for decades before the onset of cognitive symptoms,providing a large window for early intervention.Amyloid pathology,the earliest pathological change associated with AD,can be detected in vivo with cerebrospinal fluid (CSF) analysis or positron emission tomography (PET),and its presence is necessary for the diagnosis of preclinical AD (pre-AD).However,both PET scans and CSF analyses are expensive,hampering their use in large-scale screening.Thus,blood-based biomarkers are desirable alternatives,as they are cost-effective and not invasive.Plasma b-amyloid (Ab) biomarkers,and particularly the Aβ_(42)/Aβ_(40) ratio,are logical blood-based candidates,as recent studies have shown decreased Aβ_(42)/Aβ_(40) ratios along the AD continuum.Several studies have also demonstrated the predictive value of plasma Ab in combination with other variables.However,magnetic resonance imaging (MRI)-based measures of gray matter atrophy are a neurodegenerative AD biomarker,as cortical atrophy can predict subsequent cognitive decline and AD conversion.Recent data have also demonstrated an association between central amyloid and the memory and language domains of the subjective cognitive decline interview (SCD-I).Thus,in this study,we aimed to (1) investigate the plasma Ab alterations in pre-AD and validate the diagnostic efficiency of plasma Ab for detecting brain amyloidosis in peripheral pre-AD;and (2) explore the additive effects of subjective cognitive decline (SCD) features and gray matter volume in the plasma Ab model.

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Deep learning in cortical surface-based neuroimage analysis:a systematic review

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Intelligent Medicine 2023年第1期3卷 46-58页

作者： Fenqiang Zhao Zhengwang Wu Gang Li Department of radiology and biomedical Research imaging Center University of North Carolina at Chapel HillNC 27599United States

Deep learning approaches,especially convolutional neural networks(CNNs),have become the method of choice in the field of medical image analysis over the last few years.This prevalence is attributed to their excellent abilities to learn features in a more effective and efficient manner,not only for 2D/3D images in the Euclidean space,but also for meshes and graphs in non-Euclidean space such as cortical surfaces in neuroimaging analysis field.The brain cerebral cortex is a highly convoluted and thin sheet of gray matter(GM)that is thus typically represented by triangular surface meshes with an intrinsic spherical topology for each hemisphere.Accordingly,novel tailored deep learning methods have been developed for cortical surface-based analysis of neuroimaging data.This paper reviewsed the representative deep learning techniques relevant to cortical surface-based analysis and summarizes recent major contributions to the field.Specifically,we surveyed the use of deep learning techniques for cortical surface reconstruction,registration,parcellation,prediction,and other applications.We concluded by discussing the open challenges,limitations,and potentials of these techniques,and suggested directions for future research.

关键词： Deep learning Cortical surface-based analysis Neuroimage analysis Reconstruction Registration Parcellation

Blood pressure-related white matter microstructural disintegrity and associated cognitive function impairment in asymptomatic adults

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Stroke & Vascular Neurology 2023年第5期8卷 358-367页

作者： Julián N Acosta Stefan P Haider Cyprien Rivier Audrey C Leasure Kevin N Sheth Guido J Falcone Seyedmehdi Payabvash Department of Neurology Yale School of MedicineNew HavenConnecticutUSA Department of radiology and biomedical imaging Yale School of MedicineNew HavenConnecticutUSA Department of Otorhinolaryngology Ludwig Maximilians University MunichMunchenGermany

Background and objectives We aimed to investigate the white matter(WM)microstructural/cytostructural disintegrity patterns related to higher systolic blood pressure(SBP),and whether they mediate SBP effects on cognitive performance in middle-aged adults.Methods Using the UK Biobank study of community-dwelling volunteers aged 40-69 years,we included participants without a history of stroke,dementia,demyelinating disease or traumatic brain injury.We investigated the association of SBP with MRI diffusion metrics:fractional anisotropy(FA),mean diffusivity(MD),intracellular volume fraction(a measure of neurite density),isotropic(free)water volume fraction(ISOVF)and orientation dispersion across WM tracts.Then,we determined whether WM diffusion metrics mediated the effects of SBP on cognitive function.Results We analysed 31363 participants-mean age of 63.8 years(SD:7.7),and 16523(53%)females.Higher SBP was associated with lower FA and neurite density,but higher MD and ISOVF.Among different WM tracts,diffusion metrics of the internal capsule anterior limb,external capsule,superior and posterior corona radiata were most affected by higher SBP.Among seven cognitive metrics,SBP levels were only associated with‘fluid intelligence’(adjusted pimaging biomarkers to assess treatment response in antihypertensive t

关键词： capsule Blood impairment

Potential applications of 7 Tesla magnetic resonance imaging in paediatric neuroimaging:Feasibility and challenges

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World Journal of Clinical Pediatrics 2024年第2期13卷 1-6页

作者： Arosh S Perera Molligoda Arachchige Letterio S Politi Final Year Medical Student Faculty of MedicineHumanitas UniversityPieve Emanuele 20089Italy Department of Neuroradiology IRCCS Humanitas Research HospitalRozzano 20089MilanItaly Department of biomedical Sciences Humanitas UniversityPieve Emanuele 20072MilanItaly

The integration of 7 Tesla magnetic resonance imaging(7 T MRI)in adult patients has marked a revolutionary stride in radiology.In this article we explore the feasibility of 7 T MRI in paediatric practice,emphasizing its feasibility,applications,challenges,and safety considerations.The heightened resolution and tissue contrast of 7 T MRI offer unprecedented diagnostic accuracy,particularly in neuroimaging.Applications range from neuro-oncology to neonatal brain imaging,showcasing its efficacy in detecting subtle structural abnormalities and providing enhanced insights into neurological conditions.Despite the promise,challenges such as high cost,discomfort,and safety concerns necessitate careful consideration.Research suggests that,with precautions,7 T MRI is feasible in paediatrics,yet ongoing studies and safety assessments are imperative.

关键词： 7 Tesla magnetic resonance imaging Pediatric imaging Feasibility Challenges