检索结果-内蒙古大学图书馆

Maternal natural killer cells drive neuroimmune disorders in offspring through aberrant secretion of extracellular granzyme B

学校读者我要写书评

暂无评论

Immunity 2025年第6期58卷 1502-1518.e8页

作者： Qiwu Bian Yihang Chen Jinghe Zhang Xianghui Du Yonggang Zhou Qiao Zhang Chen Ding Haiming Wei Binqing Fu National Key Laboratory of Immune Response and Immunotherapy Department of Obstetrics and Gynecology The First Affiliated Hospital of USTC Center for Advanced Interdisciplinary Science & Biomedicine of IHM Division of Life Sciences and Medicine University of Science and Technology of China Hefei 230001 Anhui China. State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development School of Life Sciences Institute of Biomedical Sciences Human Phenome Institute Department of Pathology Zhongshan Hospital Fudan University Shanghai 200433 China. National Key Laboratory of Immune Response and Immunotherapy Department of Obstetrics and Gynecology The First Affiliated Hospital of USTC Center for Advanced Interdisciplinary Science & Biomedicine of IHM Division of Life Sciences and Medicine University of Science and Technology of China Hefei 230001 Anhui China. Electronic address: ustcwhm@***. National Key Laboratory of Immune Response and Immunotherapy Department of Obstetrics and Gynecology The First Affiliated Hospital of USTC Center for Advanced Interdisciplinary Science & Biomedicine of IHM Division of Life Sciences and Medicine University of Science and Technology of China Hefei 230001 Anhui China. Electronic address: fbq@***.

Prenatal viral infections can lead to neurodevelopmental disorders in offspring. However, how viral-induced maternal perturbations impact fetal brain macrophages remains insufficiently clear. Here, we demonstrated that inflammatory decidual natural killer (NK) cells, triggered by viral infection-induced maternal immune activation, drove macrophage activation, neurodevelopmental disorders, and behavioral deficits in offspring. Extracellular granzyme B (GzmB), predominantly released by the maternal CD49a tissue-resident NK subset under type I interferon stimulation, crossed the maternal-fetal barrier and promoted interferon-stimulated gene (ISG)-expressing fetal macrophage accumulation and microglial activation. Targeting extracellular GzmB through the systemic administration of the serine protease inhibitor Serpina3n or genetic ablation of Gzmb in maternal NK cells mitigated neuroimmune disorders in the fetal brain. These findings suggest that exposure to a perturbed maternal milieu reprograms decidual NK cell immunity, disrupting fetal neuroimmune homeostasis and increasing offspring susceptibility to neurodevelopmental disorders later in life.

关键词： ASD CD49a(+) trNK cells GzmB natural killer cells neuroimmune disorders

Super-resolution fluorescence polarization microscopy

学校读者我要写书评

暂无评论

Journal of Innovative Optical Health Sciences 2018年第1期11卷 1-12页

作者： Karl Zhanghao Juntao Gao Dayong Jin Xuedian Zhang Peng Xi Department of Biomedical Engineering College of Engineering Peking UniversityP.R.China School of Optical-Electronic and Computer Engineering Shanghai University of Science and Technology P.R.China Department of Automation Tsinghua University Beijing 100084P.R.China Bioinfomatics Division TNLIST MOE Key Laboratory of Bioinformatics and Center for Synthetic&System Biology Tsinghua UniversityBeijing 100084P.R.China Faculty of Science Institute for Biomedical Materials and Devices(IBMD)University of TechnologyAustralia

Fluorescence polarization is related to the dipole orientation of chromophores,making fuores-cence polarization microscopy possible to_reveal structures and functions of tagged cellularorganelles and biological *** recent super resolution techniques have beenapplied to fluorescence polarization microscopy,achieving dipole measurement at *** this review,we summarize both difraction limited and super resolution fluorescence polari-zation microscopy techniques,as well as their applications in biological imaging.

关键词： Fluorescence polarization microscopy super resolution fluorescence anisotropy linear dichroism polarization modulation

Assessing the (Un)trustworthiness of saliency maps for localizing abnormalities in medical imaging

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Arun, Nishanth Gaw, Nathan Singh, Praveer Chang, Ken Aggarwal, Mehak Chen, Bryan Hoebel, Katharina Gupta, Sharut Patel, Jay Gidwani, Mishka Adebayo, Julius Li, Matthew D. Kalpathy-Cramer, Jayashree Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Harvard Medical School BostonMA United States Shiv Nadar University Greater Noida India H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology AtlantaGA United States Massachusetts Institute of Technology CambridgeMA United States

Purpose: To evaluate the trustworthiness of saliency maps for abnormality localization in medical imaging. Materials and Methods: Using two large publicly available radiology datasets (SIIM-ACR Pneumothorax Segmentation and RSNA Pneumonia Detection), we quantified the performance of eight commonly used saliency map techniques in regards to their 1) localization utility (segmentation and detection), 2) sensitivity to model weight randomization, 3) repeatability, and 4) reproducibility. We compared their performances versus baseline methods and localization network architectures, using area under the precision-recall curve (AUPRC) and structural similarity index (SSIM) as metrics. Results: All eight saliency map techniques fail at least one of the criteria and were inferior in performance compared to localization networks. For pneumothorax segmentation, the AUPRC ranged from 0.024-0.224, while a U-Net achieved a significantly superior AUPRC of 0.404 (p Copyright © 2020, The Authors. All rights reserved.

关键词： Medical imaging

Multi-site infant brain segmentation algorithms: The iSeg-2019 challenge

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Sun, Yue Gao, Kun Wu, Zhengwang Lei, Zhihao Wei, Ying Ma, Jun Yang, Xiaoping Feng, Xue Zhao, Li Le Phan, Trung Shin, Jitae Zhong, Tao Zhang, Yu Yu, Lequan Li, Caizi Basnet, Ramesh Ahmad, M. Omair Swamy, M.N.S. Ma, Wenao Dou, Qi Bui, Toan Duc Noguera, Camilo Bermudez Landman, Bennett Gotlib, Ian H. Humphreys, Kathryn L. Shultz, Sarah Li, Longchuan Niu, Sijie Lin, Weili Jewells, Valerie Li, Gang Shen, Dinggang Wang, Li The Department of Radiology Biomedical Research Imaging Center University of North Carolina Chapel HillNC27599 United States Northeastern University Shenyang China The Department of Mathematics Nanjing University of Science and Technology Nanjing China The Department of Mathematics Nanjing University China The Department of Biomedical Engineering University of Virginia CharlottesvilleVA United States The Diagnostic Imaging and Radiology Department Children’s National Medical Center WashingtonDC United States The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of The School of Biomedical Engineering Southern Medical University Guangzhou510515 China The Chinese University of Hong Kong China Shenzhen Institutes of Advanced Technology China The Department of Electrical and Computer Engineering Concordia University Montreal Canada The School of Informatics Xiamen University China The Department of Computer Science and Engineering The Chinese University of Hong Kong China Electrical Engineering and Computer Science Vanderbilt University NashvilleTN37204 United States The Department of Psychology Stanford University CA94305 United States The Department of Psychology and Human Development Vanderbilt University NashvilleTN37204 United States The Emory University AtlantaGA30322 United States The School of Information Science and Engineering University of Jinan Jinan250022 China The Department of Research and Development Shanghai United Imaging Intelligence Co. Ltd. Shanghai China Department of Brain and Cognitive Engineering Korea University Seoul02841 Korea Republic of

To better understand early brain growth patterns in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). Deep learning-based methods have achieved state-of-the-art performance;however, one of major limitations is that the learning-based methods may suffer from the multi-site issue, that is, the models trained on a dataset from one site may not be applicable to the datasets acquired from other sites with different imaging protocols/scanners. To promote methodological development in the community, iSeg-2019 challenge (http://***) provides a set of 6-month infant subjects from multiple sites with different protocols/scanners for the participating methods. Training/validation subjects are from UNC (MAP) and testing subjects are from UNC/UMN (BCP), Stanford University, and Emory University. By the time of writing, there are 30 automatic segmentation methods participating in iSeg-2019. We review the 8 top-ranked teams by detailing their pipelines/implementations, presenting experimental results and evaluating performance in terms of the whole brain, regions of interest, and gyral landmark curves. We also discuss their limitations and possible future directions for the multi-site issue. We hope that the multi-site dataset in iSeg-2019 and this review article will attract more researchers on the multi-site issue. Copyright © 2020, The Authors. All rights reserved.

关键词： Magnetic resonance

Modified screen-printed electrode using graphene ink for electrochemical sensor application

学校读者我要写书评

暂无评论

Journal of Physics: Conference Series 2021年第1期1912卷

作者： I Anshori S Harimurti L N Rizalputri M S Hartono R R Althof M Handayani Tati L E R Mengko B Yuliarto Lab-on-a-Chip Laboratory Department of Biomedical Engineering School of Electrical Engineering Institut Teknologi Bandung Research Center for Metallurgy and Materials Indonesian Institute of Sciences (LIPI) Advanced Functional Material (AFM) Laboratory Department of Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Research Center for Nanoscience and Nanotechnology (RCNN) Institut Teknologi Bandung

In lab-on-chip development, screen printed electrode (SPE) method is usually utilized as an electrochemical sensor. As a basic conductive material, carbon has several advantages compared to other conductive materials. SPE performance can be enhanced by using a nanomaterial due to its unique properties, such as its small size particle and large surface area that can accelerate the electron transfer on the surface of the electrode. Graphene as a carbon-based nanomaterial is an extraordinary material to work with because of its good electrical conductivity and large specific surface area. In this work, we developed a graphene paste from the water-based graphene ink with the addition of polyurethane binder material to realize a nanocarbon conductive paste, which insoluble in water and other electrolytes. Our graphene paste was deposited on the working electrode area of SPE and the performance was tested using cyclic voltammetry method. The result showed that the optimal ratio for the graphene carbon paste, polyurethane to graphene ink, was 1:15 %vol. With this ratio, the performance of the modified SPE could successfully be increased and it also showed a stable sensing performance by having a low error value, below 3%, for 7 times of repeated measurements.

关键词：

Oxygen-loaded microbubble-mediated sonoperfusion and oxygenation for neuroprotection after ischemic stroke reperfusion

学校读者我要写书评

暂无评论

Biomaterials research 2023年第1期27卷 65页

作者： Yi-Ju Ho Hsiang-Lung Cheng Lun-De Liao Yu-Chun Lin Hong-Chieh Tsai Chih-Kuang Yeh Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan. Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu Taiwan. Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu 30013 Taiwan. Institute of Biomedical Engineering and Nanomedicine National Health Research Institutes Zhunan Taiwan. Department of Medical Science National Tsing Hua University Hsinchu Taiwan. Institute of Molecular Medicine National Tsing Hua University Hsinchu Taiwan. Department of Neurosurgery Linkou Chang Gung Memorial Hospital No.5Fuxing St.Guishan Dist. Taoyuan City 333 Taiwan. newcomer9999@***. School of Traditional Chinese Medicine Chang Gung University Taoyuan Taiwan. newcomer9999@***. Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu 30013 Taiwan. ckyeh@mx.nthu.edu.tw.

BACKGROUND:Ischemic stroke-reperfusion (S/R) injury is a crucial issue in the protection of brain function after thrombolysis. The vasodilation induced by ultrasound (US)-stimulated microbubble cavitation has been applied to reduce S/R injury through sonoperfusion. The present study uses oxygen-loaded microbubbles (OMBs) with US stimulation to provide sonoperfusion and local oxygen therapy for the reduction of brain infarct size and neuroprotection after S/R. METHODS:The murine S/R model was established by photodynamic thrombosis and thrombolysis at the remote branch of the anterior cerebral artery. In vivo blood flow, partial oxygen pressure (pO), and brain infarct staining were examined to analyze the validity of the animal model and OMB treatment results. The animal behaviors and measurement of the brain infarct area were used to evaluate long-term recovery of brain function. RESULTS:The percentage of blood flow was 45 ± 3%, 70 ± 3%, and 86 ± 2% after 60 min stroke, 20 min reperfusion, and 10 min OMB treatment, respectively, demonstrating sonoperfusion, and the corresponding pO level was 60 ± 1%, 76 ± 2%, and 79 ± 4%, showing reoxygenation. After 14 days of treatment, a 87 ± 3% reduction in brain infarction and recovery of limb coordination were observed in S/R mice. The expression of NF-κB, HIF-1α, IL-1β, and MMP-9 was inhibited and that of eNOS, BDNF, Bcl2, and IL-10 was enhanced, indicating activation of anti-inflammatory and anti-apoptosis responses and neuroprotection. Our study demonstrated that OMB treatment combines the beneficial effects of sonoperfusion and local oxygen therapy to reduce brain infarction and activate neuroprotection to prevent S/R injury.

关键词： Inflammatory responses Ischemia–reperfusion injury Mechanical effect Perfusion Thrombolysis Ultrasound

Consensus Recommendations for Hyperpolarized [1‐13C]pyruvate MRI Multi-center Human Studies

学校读者我要写书评

暂无评论

arXiv 2025年

作者： Punwani, Shonit Larson, Peder E.Z. Laustsen, Christoffer VanderMeulen, Jan Ardenkjær-Larsen, Jan Henrik Autry, Adam W. Bankson, James A. Bernard, Jenna Bok, Robert Bertelsen, Lotte Bonde Che, Jenny Chen, Albert P. Chowdhury, Rafat Comment, Arnaud Cunningham, Charles H. Dang, Duy Gallagher, Ferdia A. Gaunt, Adam Gong, Yangcan Gordon, Jeremy W. Grimmer, Ashley Grist, James Hansen, Esben Søvsø Szocska Lerche, Mathilde Hauge Hesketh, Richard L. Hoevener, Jan-Bernd Hsieh, Ching-Yi Keshari, Kayvan R. Kozerke, Sebastian Lanz, Titus Mayer, Dirk McLean, Mary Park, Jae Mo Slater, Jim Tyler, Damian Vanderheyden, Jean-Luc von Morze, Cornelius Zaccagna, Fulvio Zaha, Vlad Xu, Duan Vigneron, Daniel Department of Radiology University College London Hospital NHS Foundation Trust London United Kingdom Centre for Medical Imaging University College London London United Kingdom Department of Radiology and Biomedical Imaging University of California San FranciscoCA94143 United States The MR Research Center Department of Clinical Medicine Aarhus University Aarhus Denmark Department of Health Services Research & Policy London School of Hygiene & Tropical Medicine London United Kingdom Department of Imaging Physics The University of Texas MD Anderson Cancer Center HoustonTX United States GE Healthcare TorontoON Canada GE HealthCare Pollards Wood Nightingales Lane Chalfont St Giles BuckinghamshireHP8 4SP United Kingdom Physical Sciences Sunnybrook Research Institute TorontoON Canada Department of Medical Biophysics University of Toronto TorontoON Canada Department of Radiology University of Cambridge Cambridge University Hospitals NHS Foundation Trust Cambridge United Kingdom GE Healthcare San FranciscoCA United States Oxford Centre for Clinical Magnetic Resonance Research University of Oxford Oxford United Kingdom Department of Health Technology Technical University of Denmark Kgs. Lyngby2800 Denmark Cancer Research UK Cambridge Institute University of Cambridge Cambridge United Kingdom Section Biomedical Imaging University Hospital Schleswig-Holstein Kiel University Campus Kiel Germany Research Center for Radiation Medicine Chang Gung University Taoyuan Taiwan Department of Medical Imaging and Intervention Chang Gung Memorial Hospital at Linkou Taoyuan Taiwan Department of Radiology Memorial Sloan Kettering Cancer Center New YorkNY United States Molecular Pharmacology Program Memorial Sloan Kettering Cancer Center New YorkNY United States Institute for Biomedical Engineering University and ETH Zurich Zurich Switzerland RAPID Biomedical GmbH Rimpar97222 Germany Department of Diagnostic Radiology and Nuclear Medicine University of Mary

Magnetic resonance imaging of hyperpolarized (HP) [1-13C]pyruvate allows in-vivo assessment of metabolism and has translated into human studies across diseases at 15 centers worldwide. Consensus on best practice for multi-center studies is required to develop clinical applications. This paper presents the results of a 2-round formal consensus building exercise carried out by experts with HP [1-13C]pyruvate human study experience. Twenty-nine participants from 13 sites brought together expertise in pharmacy methods, MR physics, translational imaging, and data-analysis;with the goal of providing recommendations and best practice statements on conduct of multi-center human studies of HP [1-13C]pyruvate MRI. Overall, the group reached consensus on approximately two-thirds of 246 statements in the questionnaire, covering ‘HP 13C-Pyruvate Preparation’, ‘MRI System Setup, Calibration, and Phantoms’, ‘Acquisition and Reconstruction’, and ‘Data Analysis and Quantification’. Consensus was present across categories, examples include that: (i) different HP pyruvate preparation methods could be used in human studies, but that the same release criteria have to be followed;(ii) site qualification and quality assurance must be performed with phantoms and that the same field strength must be used, but that the rest of the system setup and calibration methods could be determined by individual sites;(iii) the same pulse sequence and reconstruction methods were preferable, but the exact choice should be governed by the anatomical target;(iv) normalized metabolite area-under-curve (AUC) values and metabolite AUC were the preferred metabolism metrics. The work confirmed areas of consensus for multi-center study conduct and identified where further research is required to ascertain best practice. © 2025, CC BY.

关键词： Redundancy

Stimuli-Responsive PROTACs for Controlled Protein Degradation

学校读者我要写书评

暂无评论

Angewandte Chemie 2023年第39期135卷

作者： Keli An Xuqian Deng Hongli Chi Yuchao Zhang Yan Li Dr. Ming Cheng Dr. Zhigang Ni Zhi Yang Dr. Chao Wang Jinling Chen Dr. Jianbo Bai Chunyan Ran Yong Wei Juan Li Dr. Penghui Zhang Dr. Feng Xu Dr. Weihong Tan The Key Laboratory of Biomedical Information Engineering of the Ministry of Education School of Life Science and Technology Bioinspired Engineering and Biomechanics Center (BEBC) Xi'an Jiaotong University Xi'an 710049 China Zhejiang Cancer Hospital The Key Laboratory of Zhejiang Province for Aptamers and Theranostics Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou 310022 China College of Material Chemistry and Chemical Engineering Hangzhou Normal University Hangzhou 311121 China Department of Gastrointestinal Surgery The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing 210008 China School of Aerospace Engineering Tsinghua University Beijing 100084 China

Proteolysis Targeting Chimeras (PROTACs) represent a promising therapeutic modality to address undruggable and resistant issues in drug discovery. However, potential on-target toxicity remains clinically challenging. We developed a generalized caging strategy to synthesize a series of stimuli-responsive PROTACs (sr-PROTACs) with diverse molecular blocks bearing robust and cleavable linkers, presenting “turn on” features in manipulating protein degradation. By leveraging pathological cues, such as elevated ROS, phosphatase, H 2 S, or hypoxia, and external triggers, such as ultraviolet light, X-Ray, or bioorthogonal reagents, we achieved site-specific activation and traceless release of original PROTACs through de-caging and subsequent self-immolative cleavage, realizing selective uptake and controlled protein degradation in vitro. An in vivo study revealed that two sr-PROTACs with phosphate- and fluorine-containing cages exhibited high solubility and long plasma exposure, which were specifically activated by tumor overexpressing phosphatase or low dosage of X-Ray irradiation in situ, leading to efficient protein degradation and potent tumor remission. With more reactive biomarkers to be screened from clinical practice, our caging library could provide a general tool to design activatable PROTACs, prodrugs, antibody-drug conjugates, and smart biomaterials for personalized treatment, tissue engineering or regenerative medicine.

关键词： Drug Delivery PROTACs Personalized Medicine Prodrugs Protein Degradation

Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images

学校读者我要写书评

暂无评论

arXiv 2021年

作者： Gao, Long Liu, Chang Arefan, Dooman Panigrahy, Ashok Wu, Shandong Department of Radiology School of Medicine University of Pittsburgh 4200 Fifth Ave PittsburghPA15260 United States College of Computer National University of Defense Technology Changsha410073 China Department of Bioengineering Swanson School of Engineering University of Pittsburgh 4200 Fifth Ave PittsburghPA15260 United States Department of Radiology University of Pittsburgh Medical Center Children’s Hospital of Pittsburgh 4401 Penn Ave PittsburghPA15224 United States Department of Biomedical Informatics University of Pittsburgh 4200 Fifth Ave Pittsburgh15260 United States Intelligent Systems Program University of Pittsburgh 4200 Fifth Ave PittsburghPA15260 United States

Medical image data are usually imbalanced across different classes. One-class classification has attracted increasing attention to address the data imbalance problem by distinguishing the samples of the minority class from the majority class. Previous methods generally aim to either learn a new feature space to map training samples together or to fit training samples by autoencoder-like models. These methods mainly focus on capturing either compact or descriptive features, where the information of the samples of a given one class is not sufficiently utilized. In this paper, we propose a novel deep learning-based method to learn compact features by adding constraints on the bottleneck features, and to preserve descriptive features by training an autoencoder at the same time. Through jointly optimizing the constraining loss and the autoencoder’s reconstruction loss, our method can learn more relevant features associated with the given class, making the majority and minority samples more distinguishable. Experimental results on three clinical datasets (including the MRI breast images, FFDM breast images and chest X-ray images) obtain state-of-art performance compared to previous methods. © 2021, CC BY.

关键词： Medical imaging