检索结果-内蒙古大学图书馆

Investigating the utility of HR-pQCT for the assessment of joint space and bone mineral density in hand osteoarthritis

引用

Osteoarthritis Imaging 2024年第3期4卷 100233-100233页

作者： Michael T. Kuczynski Justin J. Tse Gurpreet Dhaliwal Christina Hiscox Martina Vergouwen Neil J. White Sarah L. Manske McCaig Institute for Bone and Joint Health University of Calgary Canada Biomedical Engineering Graduate Program Schulich School of Engineering University of Calgary Canada Department of Radiology Cumming School of Medicine University of Calgary Canada South Campus Research Unit for Bone and Soft Tissue University of Calgary Canada Department of Surgery Cumming School of Medicine University of Calgary Canada

Objective Osteoarthritis affects joints of the hand and is radiographically characterized by joint space narrowing and changes in volumetric bone mineral density (vBMD). High-resolution peripheral computed tomography (HR-pQCT) allows for three-dimensional analysis of joint space width (JSW) changes but has yet to be applied to hand OA (HOA). The purpose of this study was to assess the utility of HR-pQCT in quantifying JSW and vBMD changes in HOA. Design The 2nd and 3rd distal interphalangeal (DIP2, DIP3) and trapeziometacarpal (TMC) joints of 20 women (10 controls, 10 HOA) were scanned using HR-pQCT. The Diseases of the Arm, Shoulder, and Hand (DASH) questionnaire and the Jebsen Hand Function Test (JHFT) were obtained. Radiographs were scored using the Eaton-Littler classification. We assessed between-group differences in HR-pQCT outcomes, and relationships between HR-pQCT outcomes and patient and radiographic characteristics. Results JSW maximum (***) was higher in OA patients in the DIP2 (OA median [interquartile rage]: 2.07 mm [1.90–2.18], controls: 1.88 mm [1.84–1.89]) and DIP3 joints (OA: 2.01 mm [1.89–2.24], controls: 1.86 mm [1.82–1.95]). DIP3 JS volume was higher in OA (30.36 mm 3 , 19.35–34.57 mm 3 , controls: 17.05 mm 3 , 15.53–18.52 mm 3 ). DASH scores were positively associated with DIP2 JSW asymmetry (***), and JHFT times were positively associated with DIP3 ***, ***, and proximal DIP2 vBMD. Worsening radiographic TMC OA was associated with first metacarpal vBMD, JSW minimum, ***, and ***. Conclusions These preliminary findings suggest that HR-pQCT may be useful in investigating JS changes in HOA and warrants further investigation.

关键词： Hand osteoarthritis HR-pQCT joint space

来源：评论

学校读者我要写书评

暂无评论

A deep learning system for predicting time to progression of diabetic retinopathy

引用

NATURE MEDICINE 2024年第2期30卷 358-359页

作者： [Anonymous] Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders Department of Computer Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Endocrinology and Metabolism Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai Diabetes Institute Shanghai Clinical Center for Diabetes Shanghai China MOE Key Laboratory of AI School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Department of Ophthalmology Huadong Sanatorium Wuxi China Department of Ophthalmology Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Hong Kong China Singapore Eye Research Institute Singapore National Eye Centre Singapore Singapore Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong China Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Hong Kong China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science Guangzhou China Department of Ophthalmology Peking Union Medical College Hospital Peking Union Medical College Chinese Academy of Medical Sciences Beijing China Medical Records and Statistics Office Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Geriatrics Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Tech

We developed and validated a deep learning system (termed DeepDR Plus) in a diverse, multiethnic, multi-country dataset to predict personalized risk and time to progression of diabetic retinopathy. We show that DeepDR Plus can be integrated into the clinical workflow to promote individualized intervention strategies for the management of diabetic retinopathy.

关键词： Diabetes complications Machine learning Predictive markers

来源：评论

学校读者我要写书评

暂无评论

A consensus protocol for functional connectivity analysis in the rat brain (vol 26, pg 673, 2023)

引用

NATURE NEUROSCIENCE 2023年第6期26卷 1127-1128页

作者： Grandjean, Joanes Desrosiers-Gregoire, Gabriel Anckaerts, Cynthia Angeles-Valdez, Diego Ayad, Fadi Barriere, David A. Blockx, Ines Bortel, Aleksandra Broadwater, Margaret Cardoso, Beatriz M. Celestine, Marina Chavez-Negrete, Jorge E. Choi, Sangcheon Christiaen, Emma Clavijo, Perrin Colon-Perez, Luis Cramer, Samuel Daniele, Tolomeo Dempsey, Elaine Diao, Yujian Doelemeyer, Arno Dopfel, David Dvorakova, Lenka Falfan-Melgoza, Claudia Fernandes, Francisca F. Fowler, Caitlin F. Fuentes-Ibanez, Antonio Garin, Clement M. Gelderman, Eveline Golden, Carla E. M. Guo, Chao C. G. Henckens, Marloes J. A. G. Hennessy, Lauren A. Herman, Peter Hofwijks, Nita Horien, Corey Ionescu, Tudor M. Jones, Jolyon Kaesser, Johannes Kim, Eugene Lambers, Henriette Lazari, Alberto Lee, Sung-Ho Lillywhite, Amanda Liu, Yikang Liu, Yanyan Y. Lopez-Castro, Alejandra Lopez-Gil, Xavier Ma, Zilu MacNicol, Eilidh Madularu, Dan Mandino, Francesca Marciano, Sabina McAuslan, Matthew J. McCunn, Patrick McIntosh, Alison Meng, Xianzong Meyer-Baese, Lisa Missault, Stephan Moro, Federico Naessens, Daphne M. P. Nava-Gomez, Laura J. Nonaka, Hiroi Ortiz, Juan J. Paasonen, Jaakko Peeters, Lore M. Pereira, Mickael Perez, Pablo D. Pompilus, Marjory Prior, Malcolm Rakhmatullin, Rustam Reimann, Henning M. Reinwald, Jonathan Del Rio, Rodrigo Triana Rivera-Olvera, Alejandro Ruiz-Perez, Daniel Russo, Gabriele Rutten, Tobias J. Ryoke, Rie Sack, Markus Salvan, Piergiorgio Sanganahalli, Basavaraju G. Schroeter, Aileen Seewoo, Bhedita J. Selingue, Erwan Seuwen, Aline Shi, Bowen Sirmpilatze, Nikoloz Smith, Joanna A. B. Smith, Corrie Sobczak, Filip Stenroos, Petteri J. Straathof, Milou Strobelt, Sandra Sumiyoshi, Akira Takahashi, Kengo Torres-Garcia, Maria E. Tudela, Raul van den Berg, Monica van der Marel, Kajo van Hout, Aran T. B. Vertullo, Roberta Vidal, Benjamin Vrooman, Roel M. Wang, Victora X. Wank, Isabel Watson, David J. G. Yin, Ting Zhang, Yongzhi Zurbruegg, Stefan Achard, Sophie Alcauter, Sarael Auer, Dorothee P. Barbier, Emmanuel L. Baudewig, Juergen Beckmann, Chri Donders Institute for Brain Behaviour and Cognition Radboud University Nijmegen The Netherlands Department for Medical Imaging Radboud University Medical Center Nijmegen The Netherlands Cerebral Imaging Centre Douglas Mental Health University Institute Verdun QC Canada Integrated Program in Neuroscience McGill University Montreal QC Canada Bio-imaging Lab University of Antwerp Antwerp Belgium µNEURO Research Centre of Excellence University of Antwerp Antwerp Belgium Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro Mexico Biological and Biomedical Engineering McGill University Montreal QC Canada McConnell Brain Imaging Centre McGill University Montreal QC Canada Montreal Neurological Institute McGill University Montreal QC Canada UMR INRAE/CNRS 7247 Physiologie des Comportements et de la Reproduction Physiologie de la reproduction et des comportements Centre de recherche INRAE de Nouzilly Tours France Department of Neurology and Neurosurgery McGill University Montreal QC Canada Center for Animal MRI University of North Carolina at Chapel Hill Chapel Hill NC USA Department of Neurology University of North Carolina at Chapel Hill Chapel Hill NC USA Biomedical Research Imaging Center University of North Carolina at Chapel Hill Chapel Hill NC USA Preclinical MRI Champalimaud Research Champalimaud Centre for the Unknown Lisbon Portugal Laboratoire des Maladies Neurodégénératives Molecular Imaging Research Center (MIRCen) Université Paris-Saclay Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA) CNRS Fontenay-aux-Roses France Departamento de Neurobiología Conductual y Cognitiva Instituto de Neurobiología Universidad Nacional Autónoma de México Campus Juriquilla Querétaro México Translational Neuroimaging and Neural Control Group High-Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tuebingen Germany Graduate Training Centre of Neuroscience International Max

Task-free functional connectivity in animal models provides an experimental framework to examine connectivity phenomena under controlled conditions and allows for comparisons with data modalities collected under invasive or terminal procedures. Currently, animal acquisitions are performed with varying protocols and analyses that hamper result comparison and integration. Here we introduce StandardRat, a consensus rat functional magnetic resonance imaging acquisition protocol tested across 20 centers. To develop this protocol with optimized acquisition and processing parameters, we initially aggregated 65 functional imaging datasets acquired from rats across 46 centers. We developed a reproducible pipeline for analyzing rat data acquired with diverse protocols and determined experimental and processing parameters associated with the robust detection of functional connectivity across centers. We show that the standardized protocol enhances biologically plausible functional connectivity patterns relative to previous acquisitions. The protocol and processing pipeline described here is openly shared with the neuroimaging community to promote interoperability and cooperation toward tackling the most important challenges in neuroscience.

关键词： Databases Neural circuits

来源：评论

学校读者我要写书评

暂无评论

Correction: Ubiquitin carboxyl-terminal hydrolase 11 promotes autophagy by de-ubiquitinating and stabilizing Beclin-1

引用

Genome Instability & Disease 2023年第5期4卷 303-303页

作者： Li, Zheng Rao, Shaohong Song, Chunwei Zhu, Min Zhao, Hongchang Yuan, Shuping Peng, Bin Xu, Xingzhi Guangdong Key Laboratory for Genome Stability & Disease Prevention and Carson International Cancer Center Marshall Laboratory of Biomedical Engineering Shenzhen University School of Medicine Shenzhen China Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering Shenzhen University Medical School Shenzhen China College of Life Sciences Capital Normal University Beijing China Institute of Translational Medicine College of Medicine Qingdao University Qingdao China Shenzhen University-Friedrich Schiller Universität Jena Joint PhD Program in Biomedical Sciences Shenzhen University School of Medicine Shenzhen China

来源：评论

学校读者我要写书评

暂无评论

Uncovering chromatin accessibility and cancer diagnostic potential via cell-free DNA utilization

引用

Science Bulletin 2024年第19期69卷 2987-2992页

作者： Jie Li Jiahui Chen Xin Sun Heli Yang Keyong Sun Chang Liu Yongwang Wang Mengyue Xu Xin Ji Ji Zhang Xiaojiang Wu Anqiang Wang Biao Fan Xiaolu Zhang Yue Wu Peilin Cui Junya Peng Yupei Zhao Wenming Wu Honghao Yu Zhaode Bu Jiafu Ji Xun Lan Department of Basic Medical Sciences School of MedicineTsinghua UniversityBeijing 100084China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Center of Gastrointestinal CancerPeking University Cancer Hospital&InstituteBeijing 100142China Guangxi Key Laboratory of Drug Discovery and Optimization Guilin Medical UniversityGuilin 541001China Department of General Surgery Peking Union Medical College HospitalPeking Union Medical CollegeBeijing 100730China Department of Internal Medicine International Medical Services(IMS)Beijing Tiantan Hospital of Capital Medical UniversityBeijing 100070China Institute of Clinical Medicine Peking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100730China Academy of Biomedical Engineering Kunming Medical UniversityKunming 650500China MOE Key Laboratory of Bioinformatics Tsinghua UniversityBeijing 100084China Peking-Tsinghua-NIBS Joint Graduate Program Tsinghua UniversityBeijing 100084China Tsinghua-Peking Joint Center for Life Sciences Tsinghua UniversityBeijing 100084China Department of Anesthesiology Affiliated Hospital of Guilin Medical UniversityGuilin 541000China Key Laboratory of Medical Biotechnology and Translational Medicine Guilin Medical UniversityGuilin 541001China State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College HospitalChinese Academy of Medical Science and Peking Union Medical CollegeBeijing 100730China Department of Gastric Surgery Zhejiang Cancer HospitalHangzhou Institute of Medicine(HIM)Chinese Academy of SciencesHangzhou 310022China The Islands Healthcare Complex-Macao Medical Center of Peking Union Medical College Hospital Macao 999078China

Gene expression patterns of tumor cells can be inferred from features of circulating cell-free DNA(cfDNA),such as histone modifications and fragmentation patterns at ***,the direct relationship between cfDNA patterns and tumor-specific chromatin accessibility has not yet been experimentally established,limiting its current application to cancer diagnosis alone.

关键词： diagnosis cancer alone

来源：评论

学校读者我要写书评

暂无评论

engineering osteoblastic metastases to delineate the adaptive response of androgen-deprived prostate cancer in the bone metastatic microenvironment

引用

Bone Research 2019年第2期7卷 157-170页

作者： Nathalie Bock Ali Shokoohmand Thomas Kryza Joan Rohl Jonelle Meijer Phong A. Tran Colleen C. Nelson Judith A. Clements Dietmar W. Hutmacher School of Biomedical Sciences Faculty of Health and Australian Prostate Cancer Research Centre (APCRC-Q)Institute of Health and Biomedical Innovation (IHBI)Queensland University of Technology (QUT)BrisbaneQLD 4000Australia Translational Research Institute (TRI) WoolloongabbaQLD 4102Australia Centre in Regenerative Medicine QUTKelvin GroveQLD 4059Australia Bone and Joint Disorders Program School of ChemistryPhysics and Mechanical EngineeringScience and Engineering Faculty (SEF)QUTBrisbaneQLD 4000Australia Australian Research Council (ARC) Training Centre in Additive Biomanufacturing QUTKelvin GroveQLD 4059Australia

While stromal interactions are essential in cancer adaptation to hormonal therapies,the effects of bone stroma and androgen deprivation on cancer progression in bone are poorly ***,we tissue-engineered and validated an in vitro microtissue model of osteoblastic bone metastases,and used it to study the effects of androgen deprivation in this *** model was established by culturing primary human osteoprogenitor cells on melt electrowritten polymer scaffolds,leading to a mineralized osteoblast-derived microtissue containing,in a 3D setting,viable osteoblastic cells,osteocytic cells,and appropriate expression of osteoblast/osteocyte-derived mRNA and proteins,and mineral *** co-culture of androgen receptordependent/ independent cell lines (LNCaP,C4-2B,and PC3) led cancer cells to display functional and molecular features as observed in ***-cultured cancer cells showed increased affinity to the microtissues,as a function of their bone metastatic *** led to alkaline phosphatase and collagen-I upregulation and sclerostin downregulation,consistent with the clinical marker profile of osteoblastic bone *** showed a significant adaptive response under androgen deprivation in the microtissues,with the notable appearance of neuroendocrine transdifferentiation features and increased expression of related markers (dopa decarboxylase,enolase 2).Androgen deprivation affected the biology of the metastatic microenvironment with stronger upregulation of androgen receptor,alkaline phosphatase,and dopa decarboxylase,as seen in the transition towards *** unique microtissues engineered here represent a substantial asset to determine the involvement of the human bone microenvironment in prostate cancer progression and response to a therapeutic context in this microenvironment.

关键词： engineering osteoblastic metastases the adaptive response metastatic microenvironment

来源：评论

学校读者我要写书评

暂无评论

biomedical data and AI

引用

Science China Life Sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Dual-Modality nanozyme Exploiting ROS-Responsive oxygen Catalysis for Precision NF-κB pathway Suppression in gouty arthritis

引用

Chemical engineering Journal 2025年 516卷

作者： Sathiyamoorthy Padmanaban Sree Samanvitha Kuppa Omkar Sangabathula Amal Babu Adityanarayan Mohapatra Sung Sun Kim Hong Yeol Yang Aravindkumar Sundaram Hyung Keun Kim Jong Keun Seon In-Kyu Park Department of Biomedical Sciences and BioMedical Sciences Graduate Program (BMSGP) Chonnam National University Medical School Hwasun 58128 Republic of Korea Department of Orthopaedics Surgery Center for Joint Disease of Chonnam National University Hwasun Hospital 322 Seoyang-ro Hwasun-eup Jeonnam 519-763 Republic of Korea Korea Biomedical Materials and Devices Innovation Research Center of Chonnam National University Hospital 42 Jebong-ro Dong-gu Gwangju 501-757 Republic of Korea Department of Chemical Engineering Indian Institute of Technology Hyderabad Kandi 502284 Telangana India DRCure Inc. Hwasun 58128 Republic of Korea Department of Pathology Chonnam National University Medical School Gwangju 61469 Republic of Korea

Gout is characterized by urate deposition in joints leading to immune cell recruitment and inflammatory cytokine release. This condition poses significant therapeutic challenges due to its association with the activation of the nuclear factor (NF)-κB pathway, which promotes inflammation. Traditional treatment modalities often fall short of effectively targeting gout pathophysiology. To address this gap, nanoparticles present a promising avenue by improving drug bioavailability and reducing toxicity. This study explores the therapeutic potential of hollow cerium oxide (CeO) nanoparticles loaded with alpha-lipoic acid (α-LA) in alleviating NF-κB pathway activation. Synthesized through the solvothermal method, hollow CeO nanoparticles were loaded with α-LA through solvent evaporation. Characterization revealed a hollow spherical morphology, uniform size distribution, and sustained α-LA release in vitro . Treatment with CeO nanoparticles, α-LA, and CeO-loaded α-LA resulted in decreased levels of reactive oxygen species (ROS), hydrogen peroxide (H 2 O 2 ), and nitric oxide (NO), alongside increased antioxidant enzyme activities (superoxide dismutase and catalase). Moreover, the nanoparticle efficacy was evaluated in RAW 264.7 macrophage cells stimulated with monosodium urate (MSU) and in a murine model of MSU-induced joint inflammation. While CeO nanoparticles and α-LA individually exhibited moderate reductions in inflammatory mediator release and NF-κB pathway activity, CeO-loaded α-LA synergistically suppressed MSU-induced NF-κB pathway activation. Notably, CeO-loaded α-LA also ameliorated MSU-induced joint inflammation in mice. These findings explore the therapeutic potential of α-LA-loaded CeO nanoparticles, a novel formulation combining antioxidant and anti-inflammatory nanocarriers, to mitigate MSU-induced NF-κB activation. The hollow spherical nanoparticles enable controlled α-LA release, enhancing bioavailability and targeting dual pathways of oxidative stress an

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Consensus Privacy Metrics Framework for Synthetic Data

arXiv

引用

arXiv 2025年

作者： Pilgram, Lisa Dankar, Fida K. Drechsler, Jörg Elliot, Mark Domingo-Ferrer, Josep Francis, Paul Kantarcioglu, Murat Kong, Linglong Malin, Bradley Muralidhar, Krishnamurty Myles, Puja Prasser, Fabian Raisaro, Jean Louis Yan, Chao El Emam, Khaled School of Epidemiology and Public Health University of Ottawa ON Canada CHEO Research Institute ON Canada Department of Nephrology and Medical Intensive Care Charité – Universitätsmedizin Berlin Berlin Germany Department for Statistical Methods Institute for Employment Research Nuernberg Germany Institute for Statistics Ludwig-Maximilians-Universität Munich Germany Joint Program in Survey Methodology University of Maryland United States The Cathie Marsh Institute Research School of Social Sciences University of Manchester Manchester United Kingdom Department of Computer Engineering and Mathematics Universitat Rovira i Virgili Catalonia Tarragona Spain Max Planck Institute for Software Systems Germany Department of Computer Science Virginia Tech United States Department of Mathematical and Statistical Sciences University of Alberta Alberta Canada Department of Biomedical Informatics Vanderbilt University Medical Center NashvilleTN United States Department of Biostatistics Vanderbilt University Medical Center NashvilleTN United States Department of Computer Science Vanderbilt University NashvilleTN United States Department of Marketing and Supply Chain Management University of Oklahoma Oklahoma United States Medicines and Healthcare products Regulatory Agency London United Kingdom Berlin Institute of Health at Charité Universitätsmedizin Berlin Medical Informatics Group Berlin Germany Biomedical Data Science Center University Hospital Lausanne Lausanne Switzerland

Synthetic data generation is one approach for sharing individual-level data. However, to meet legislative requirements, it is necessary to demonstrate that the individuals’ privacy is adequately protected. There is no consolidated standard for measuring privacy in synthetic data. Through an expert panel and consensus process, we developed a framework for evaluating privacy in synthetic data. Our findings indicate that current similarity metrics fail to measure identity disclosure, and their use is discouraged. For differentially private synthetic data, a privacy budget other than close to zero was not considered interpretable. There was consensus on the importance of membership and attribute disclosure, both of which involve inferring personal information about an individual without necessarily revealing their identity. The resultant framework provides precise recommendations for metrics that address these types of disclosures effectively. Our findings further present specific opportunities for future research that can help with widespread adoption of synthetic data. © 2025, CC BY.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

Humoral immune response to circulating SARS-CoV-2 variants elicited by inactivated and RBD-subunit vaccines

引用

细胞研究（英文版） 2021年第7期31卷 732-741页

作者： Yunlong Cao Ayijiang Yisimayi Yali Bai Weijin Huang Xiaofeng Li Zhiying Zhang Tianjiao Yuan Ran An Jing Wang Tianhe Xiao Shuo Du Wenping Ma Liyang Song Yongzheng Li Xiang Li Weiliang Song Jiajing Wu Shuo Liu Xuemei Li Yonghong Zhang Bin Su Xianghua Guo Yangyang Wei Chuanping Gao Nana Zhang Yifei Zhang Yang Dou Xiaoyu Xu Rui Shi Bai Lu Ronghua Jin Yingmin Ma Chengfeng Qin Youchun Wang Yingmei Feng Junyu Xiao Xiaoliang Sunney Xie Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Biomedical Pioneering Innovation Center (BIOPIC) Peking UniversityBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Biomedical Pioneering Innovation Center (BIOPIC) Peking UniversityBeijingChina School of Life Sciences Peking UniversityBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Joint Graduate Program of Peking-Tsinghua-NIBS School of Life SciencesTsinghua UniversityBeijingChina Division of HIV/AIDS and Sex-transmitted Virus Vaccines Institute for Biological Product ControlNational Institutes for Food and Drug Control (NIFDC) and WHO Collaborating Center for Standardization and Evaluation of BiologicalsBeijingChina State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and EpidemiologyAcademy of Military Medical SciencesBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina School of Life Sciences Peking UniversityBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Biomedical Pioneering Innovation Center (BIOPIC) Peking UniversityBeijingChina Peking-Tsinghua Center for life Sciences Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina Beijing Youan Hospital Capital Medical UniversityBeijingChina Beijing Advanced Innovation Center for Genomics (ICG) Peking UniversityBeijingChina Peking-Tsinghua Center for life Sciences Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijingChina School of Pharmaceutical Sciences IDG/McGovern Institute for Brain ResearchTsinghua UniversityBeijingChina Vazyme Biotech Co. LtdNanjingJiangsuChina CAS Key Laboratory of Microbial Physiological and Metabolic Engineering Institute of MicrobiologyChinese Academy of SciencesBeijingChina Beijing Ditan Hospital Capital Medical UniversityBeijingChina

SARS-CoV-2 variants could induce immune escape by mutations on the receptor-binding domain (RBD) and N-terminal domain(NTD).Here we report the humoral immune response to circulating SARS-CoV-2 variants,such as 501Y.V2 (B.1.351),of the plasma and neutralizing antibodies (NAbs) elicited by CoronaVac (inactivated vaccine),ZF2001 (RBD-subunit vaccine) and natural *** 86 potent NAbs identified by high-throughput single-cell VDJ sequencing of peripheral blood mononuclear cells from vaccinees and convalescents,near half anti-RBD NAbs showed major neutralization reductions against the K417N/E484K/N501Y mutation combination,with E484K being the dominant ***3-53/VH3-66 recurrent antibodies respond differently to RBD variants,and K417N compromises the majority of neutralizing activity through reduced polar contacts with complementarity determining *** contrast,the 242-244 deletion (242-244A) would abolish most neutralization activity of anti-NTD NAbs by interrupting the conformation of NTD antigenic supersite,indicating a much less diversity of anti-NTD NAbs than anti-RBD *** of convalescents and CoronaVac vaccinees displayed comparable neutralization reductions against pseudo-and authentic 501Y.V2 variants,mainly caused by E484K/N501Y and 242-244△,with the effects being ***,RBD-subunit vaccinees exhibit markedly higher tolerance to 501Y.V2 than convalescents,since the elicited anti-RBD NAbs display a high diversity and are unaffected by NTD ***,an extended gap between the third and second doses of ZF2001 leads to better neutralizing activity and tolerance to 501Y.V2 than the standard three-dose ***,these results suggest that the deployment of RBD-vaccines,through a third-dose boost,may be ideal for combating SARS-CoV-2 variants when necessary,especially for those carrying mutations that disrupt the NTD supersite.

关键词： Cryoelectron microscopy Immunology X-ray crystallography

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：