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Spatiotemporal development of expanding bacterial colonies driven by emergent mechanical constraints and nutrient gradients

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Nature communications 2025年第1期16卷 4878页

作者： Harish Kannan Hui Sun Mya Warren Tolga Çağlar Pantong Yao Brian R Taylor Kinshuk Sahu Daotong Ge Matteo Mori David Kleinfeld JiaJia Dong Bo Li Terence Hwa Department of Mathematics University of California San Diego La Jolla CA USA. Department of Mathematics and Statistics California State University Long Beach CA USA. paul.sun@csulb.edu. Department of Physics University of California San Diego La Jolla CA USA. San Diego Supercomputer Center University of California San Diego La Jolla CA USA. Neurosciences Graduate Program University of California San Diego La Jolla CA USA. Joint BioEnergy Institute Emeryville CA USA and Systems Biology Department Sandia National Laboratories Livermore CA USA. Department of Bioengineering University of California San Diego La Jolla CA USA. Department of Biomedical Engineering Duke University Durham NC USA. Department of Neurobiology University of California San Diego La Jolla CA USA. Department of Physics & Astronomy Bucknell University Lewisburg PA USA. jiajia.dong@bucknell.edu. Department of Mathematics and Ph.D. Program in Quantitative Biology University of California San Diego La Jolla CA USA. bli@ucsd.edu. Department of Physics University of California San Diego La Jolla CA USA. hwa@ucsd.edu.

Bacterial colonies growing on solid surfaces can exhibit robust expansion kinetics, with constant radial growth and saturating vertical expansion, suggesting a common developmental program. Here, we study this process for Escherichia coli cells using a combination of modeling and experiments. We show that linear radial colony expansion is set by the verticalization of interior cells due to mechanical constraints rather than radial nutrient gradients as commonly assumed. In contrast, vertical expansion slows down from an initial linear regime even while radial expansion continues linearly. This vertical slowdown is due to limitation of cell growth caused by vertical nutrient gradients, exacerbated by concurrent oxygen depletion. Starvation in the colony interior results in a distinct death zone which sets in as vertical expansion slows down, with the death zone increasing in size along with the expanding colony. Thus, our study reveals complex heterogeneity within simple monoclonal bacterial colonies, especially along the vertical dimension. The intricate dynamics of such emergent behavior can be understood quantitatively from an interplay of mechanical constraints and nutrient gradients arising from obligatory metabolic processes.

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Deletion of pancreas-specific miR-216a reduces beta-cell mass and inhibits pancreatic cancer progression in mice

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Cell Reports Medicine 2021年第11期2卷 100434-100434页

作者： Erener, Suheda Ellis, Cara E. Ramzy, Adam Glavas, Maria M. Pereira, Sandra Wang, Tom Pang, Janice Bruin, Jennifer E. Riedel, Michael J. Baker, Robert K. Webber, Travis D. Lesina, Marina Blüher, Matthias Algül, Hana Kopp, Janel L. Herzig, Stephan Kieffer, Timothy J. Department of Cellular & Physiological Sciences Life Sciences Institute University of British Columbia Vancouver BC Canada Institute for Diabetes and Cancer Helmholtz Center Munich Neuherberg Germany Joint Heidelberg-IDC Translational Diabetes Program Inner Medicine 1 Heidelberg University Hospital Heidelberg Germany Technical University Munich Neuherberg 85764 Germany Deutsches Zentrum für Diabetesforschung Neuherberg 85764 Germany Department of Biology and Institute of Biochemistry Carleton University Ottawa ON Canada Comprehensive Cancer Center Munich Technical University of Munich Munich Germany Helmholtz Institute for Metabolic Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig Leipzig Germany Medical Department III – Endocrinology Nephrology Rheumatology University of Leipzig Medical Center Leipzig Germany Department of Surgery University of British Columbia Vancouver BC Canada School of Biomedical Engineering University of British Columbia Vancouver BC Canada

miRNAs have crucial functions in many biological processes and are candidate biomarkers of disease. Here, we show that miR-216a is a conserved, pancreas-specific miRNA with important roles in pancreatic islet and acinar cells. Deletion of miR-216a in mice leads to a reduction in islet size, β-cell mass, and insulin levels. Single-cell RNA sequencing reveals a subpopulation of β-cells with upregulated acinar cell markers under a high-fat diet. miR-216a is induced by TGF-β signaling, and inhibition of miR-216a increases apoptosis and decreases cell proliferation in pancreatic cells. Deletion of miR-216a in the pancreatic cancer-prone mouse line Kras^G12D;Ptf1a^CreER reduces the propensity of pancreatic cancer precursor lesions. Notably, circulating miR-216a levels are elevated in both mice and humans with pancreatic cancer. Collectively, our study gives insights into how β-cell mass and acinar cell growth are modulated by a pancreas-specific miRNA and also suggests miR-216a as a potential biomarker for diagnosis of pancreatic diseases. © 2021 The Author(s)

关键词： biomarker circulating miRNA diabetes micro-RNA miR-216a pancreatic cancer PDAC β-cell mass

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Differential regulation of JAK1 expression by ETS1 associated with predisposition to primary biliary cholangitis

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Journal of Genetics and Genomics 2023年第10期50卷 807-812页

作者： Peng Jiang Chan Wang Mingming Zhang Ye Tian Weifeng Zhao Junyi Xin Yexi Huang Zhibin Zhao Wenjuan Sun Jie Long Ruqi Tang Fang Qiu Xingjuan Shi Yi Zhao Li Zhu Na Dai Lei Liu Xudong Wu Jinshan Nie Bo Jiang Youlin Shao Yueqiu Gao Jianjiang Yu Zhigang Hu Zhidong Zang Yuhua Gong Yaping Dai Lan Wang Ningling Ding Ping Xu Sufang Chen Lu Wang Jing Xu Luyao Zhang Junyan Hong Ruonan Qian Hu Li Xuan Jiang Congwei Chen Wenyan Tian Jian Wu Yuzhang Jiang Chongxu Han Kui Zhang Hong Qiu Li Li Hong Fan Liming Chen Jianqiong Zhang Zhongsheng Sun Xiao Han Zhenhua Dai Erguang Li M.Eric Gershwin Zhexiong Lian Xiong Ma Michael F.Seldin Weichang Chen Meilin Wang Xiangdong Liu Key Laboratory of Developmental Genes and Human Diseases School of Life Science and TechnologySoutheast UniversityNanjingJiangsu 210096China Institute of Translational Medicine Yangzhou University Medical CollegeYangzhouJiangsu 225009China Department of Radiology&Oncology The Second Affiliated Hospital of Soochow UniversitySuzhouJiangsu 215004China The First Affiliated Hospital of Soochow University SuzhouJiangsu 215006China Department of Bioinformatics School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjingJiangsu 210029China Author links open overlay panelYexi Huang Guangdong Provincial People's Hospital Guangdong Academy of Medical SciencesGuangzhouGuangdong 510080China Department of Gastroenterology and Hepatology Shanghai Institute of Digestive DiseasesShanghai Jiao Tong University School of Medicine Affiliated Renji HospitalShanghai 200001China Department of Laboratory Medicine The Fourth Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsu 210031China Department of Gastrointestinal Endoscopy Eastern Hepatobiliary Surgery HospitalShanghai 201800China The Fifth People's Hospital Soochow UniversitySuzhouJiangsu 215007China Department of Gastroenterology Jiangsu University Affiliated Kunshan HospitalKunshanJiangsu 215300China Department of Gastroenterology Yixing People's HospitalYixinJiangsu 214200China Department of Gastroenterology Yancheng First People's HospitalYanchengJiangsu 224005China Department of Gastroenterology Taicang First People's HospitalSoochow UniversityTaicangJiangsu 215400China Department of Hepatology Jingjiang Second People's HospitalJingjiangJiangsu 214500China Department of Hepatology The Third People's Hospital of ChangzhouChangzhouJiangsu 213001China Department of Liver Diseases Shuguang HospitalShanghai University of Traditional Chinese MedicineShanghai 201203China Department of Laboratory Medicine Jiangyin People's HospitalSoutheast UniversityJiangyinJiangsu 214400China Department of Labora

Primary biliary cholangitis(PBC)is an autoimmune liver disease characterized by the destruction of intrahepatic small bile ducts and progressive cholestasis,eventually leading to liver cirrhosis and hepatic failure wi... 详细信息

关键词： cholangitis biliary

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An atlas of dynamic chromatin landscapes in mouse fetal development (vol 583, pg 744, 2020)

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NATURE 2021年第7842期589卷 E4-E4页

作者： Gorkin, David U. Barozzi, Iros Zhao, Yuan Zhang, Yanxiao Huang, Hui Lee, Ah Young Li, Bin Chiou, Joshua Wildberg, Andre Ding, Bo Zhang, Bo Wang, Mengchi Strattan, J. Seth Davidson, Jean M. Qiu, Yunjiang Afzal, Veena Akiyama, Jennifer A. Plajzer-Frick, Ingrid Novak, Catherine S. Kato, Momoe Garvin, Tyler H. Pham, Quan T. Harrington, Anne N. Mannion, Brandon J. Lee, Elizabeth A. Fukuda-Yuzawa, Yoko He, Yupeng Preissl, Sebastian Chee, Sora Han, Jee Yun Williams, Brian A. Trout, Diane Amrhein, Henry Yang, Hongbo Cherry, J. Michael Wang, Wei Gaulton, Kyle Ecker, Joseph R. Shen, Yin Dickel, Diane E. Visel, Axel Pennacchio, Len A. Ren, Bing Ludwig Institute for Cancer Research La Jolla CA USA Center for Epigenomics University of California San Diego School of Medicine La Jolla CA USA Bioinformatics and Systems Biology Graduate Program University of California San Diego La Jolla CA USA Biomedical Sciences Graduate Program University of California San Diego School of Medicine La Jolla CA USA Department of Cellular and Molecular Medicine University of California San Diego School of Medicine La Jolla CA USA Institute of Genomic Medicine University of California San Diego School of Medicine La Jolla CA USA Moores Cancer Center University of California San Diego School of Medicine La Jolla CA USA Environmental Genomics and Systems Biology Division Lawrence Berkeley National Laboratory Berkeley CA USA Department of Surgery and Cancer Imperial College London London UK US Department of Energy Joint Genome Institute Berkeley CA USA School of Natural Sciences University of California Merced Merced CA USA Comparative Biochemistry Program University of California Berkeley Berkeley CA USA Genomic Analysis Laboratory Salk Institute for Biological Studies La Jolla CA USA Department of Pediatrics University of California San Diego School of Medicine La Jolla CA USA Department of Biochemistry and Molecular Biology Penn State School of Medicine Hershey PA USA Stanford University School of Medicine Department of Genetics Stanford CA USA Howard Hughes Medical Institute Salk Institute for Biological Studies La Jolla CA USA Division of Biology and Biological Engineering California Institute of Technology Pasadena CA USA Institute for Human Genetics and University of California San Francisco San Francisco CA USA Department of Neurology University of California San Francisco San Francisco CA USA

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Unravelling the linkages between conflict and antimicrobial resistance

npj antimicrobials and resistance

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npj antimicrobials and resistance 2025年第1期3卷 29页

作者： Aula Abbara Clare Shortall Richard Sullivan Wim Zwijnenburg Krystel Moussally Reem Aboshamr Carine Naim Angela Uyen Muhammad H Zaman Nabil Karah Ahmad Kejah Marwan Osman Antoine Abou Fayad Omar Dewachi Department of Infection Imperial College London UK. a.abbara15@ic.ac.uk. Médecins Sans Frontières Operational Centre Amsterdam Manson Unit London UK. a.abbara15@ic.ac.uk. Médecins Sans Frontières Operational Centre Amsterdam Manson Unit London UK. Centre for Conflict and Health Research King's College London London UK. PAX Utrecht Netherlands. Médecins Sans Frontières Operational Centre Brussels Middle-East Medical Unit Beirut Lebanon. Joint PhD Program on Water Technology Islamic University of Gaza Gaza Palestine. Médecins Sans Frontières Operational Centre Brussels Analysis Department Brussels Belgium. Department of Biomedical Engineering and Center on Forced Displacement Boston University Boston MA USA. Department of Molecular Biology Umeå University Umeå Sweden. Department of Microbiology Free Aleppo University Aleppo Syria. Department of Neurosurgery Yale University School of Medicine New Haven CT USA. Department of Experimental Pathology Immunology & Microbiology American University of Beirut Beirut Lebanon. Anthropology Department Rutgers The State University of New Jersey New Brunswick NJ USA.

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In vivo ultrasound-switchable fluorescence imaging

arXiv

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arXiv 2018年

作者： Yao, Tingfeng Yu, Shuai Liu, Yang Yuan, Baohong Ultrasound and Optical Imaging Laboratory Department of Bioengineering University of Texas at Arlington ArlingtonTX76010 United States Joint Biomedical Engineering Program University of Texas at Arlington University of Texas Southwestern Medical Center at Dallas DallasTX75235 United States

Ultrasound-switchable fluorescence (USF) imaging was recently developed to overcome the limitation of the poor spatial resolution of the conventional fluorescence imaging in centimeter-deep tissue. However, in vivo USF imaging has not been achieved so far because of the lack of stable near-infrared contrast agents in a biological environment and the lack of data about their biodistributions. In this study, for the first time, we achieved in vivo USF imaging successfully in mice with high resolution. USF imaging in porcine heart tissue and mouse breast tumor via local injections were studied and demonstrated. In vivo and ex vivo USF imaging of the mouse spleen via intravenous injections was also successfully achieved. The results showed that the USF contrast agent adopted in this study was very stable in a biological environment, and it was mainly accumulated into the spleen of the mice. All the results of USF imaging were validated by a commercial micro-CT. Copyright © 2018, The Authors. All rights reserved.

关键词： Fluorescence imaging

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Adaptive in vivo Device for Theranostics of Inflammation by Monitoring of Cytokine Interferon-γ and Its Triggered Aspirin Release

SSRN

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SSRN 2019年

作者： Cao, Chaomin Jin, Ronghua Wei, Hui Liu, Zhongning Ni, Shengnan Chen, Xin Young, Howard A. Liu, Guojun Liu, Guozhen International Joint Research Center for Intelligent Biosensor Technology and Health Central China Normal University Wuhan430079 China School of Chemical Engineering and Technology Shanxi Key Laboratory of Energy Chemical Process Intensification Institute of Polymer Science in Chemical Engineering Xi’an Jiao Tong University Xi’an710049 China Department of Prosthodontics Peking University School and Hospital of Stomatology National Clinical Research Center for Oral Diseases National Engineering Laboratory for Digital and Material Technology of Stomatology Beijing Key Laboratory of Digital Stomatology Beijing100081 China Australian Nuclear Science and Technology Organization New Illuwarra Road Lucas HeightsNSW2234 Australia Graduate School of Biomedical Engineering ARC Centre of Excellent for Nanoscale Bipphotonics Faculty of Engineering University of New South Wales SydneyNSW2052 Australia Cancer and Inflammation Program Center for Cancer Research National Cancer Institute at Frederick FrederickMD21702 United States

Cytokines mediate and control immune and inflammatory responses. Complex interactions exist between cytokines, inflammation and the adaptive responses in maintaining homeostasis, health, and well being. On-demand, local delivery of anti-inflammatory drug molecules to target tissues provides a means for effective drug dosing while reducing the adverse effects of systemic drug delivery. This work demonstrates a proof-of-concept theranostic approach for inflammation based on analyte-kissing induced signaling, whereby a drug (in this report, aspirin) can be released upon detection of a target level of a proinfammatory cytokine(i.e. Interferon-γ (IFN-γ)) in real time. The structure-switching aptamer based biosensor described here is capable of quantitatively and dynamically detecting IFN-γ both in vitro and in vivo with a sensitivity of 10 pg mL-1. Moreover, the released aspirin triggered by the inflammatory cytokine IFN-γ is able to inhibit inflammation in the inflammatory rat model, and the releasing of aspirin can be quantitatively controlled. Herein research provides a novel and promising strategy for in vivo detection of proinflammatory cytokines and the subsequent therapeutic delivery of anti-inflammatory molecules. This universal theranostic platform is expected to achieve great potentials on personalized medicine towards treatment of various of diseases and health conditions. © 2019, The Authors. All rights reserved.

关键词： Pathology

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Near-infrared time-domain ultrasound-switchable fluorescence imaging

Near-infrared time-domain ultrasound-switchable fluorescence...

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Optical Molecular Probes, Imaging and Drug Delivery, OMP 2017

作者： Yu, Shuai Liu, Yuan Kandukuri, Jayanth Yao, Tingfeng Yuan, Baohong Ultrasound and Optical Imaging Laboratory Department of Bioengineering The University of Texas at Arlington ArlingtonTX76019 United States Joint Biomedical Engineering Program The University of Texas at Arlington and The University of Texas Southwestern Medical Center DallasTX75390 United States

High signal-to-noise ratio (SNR) in ultrasound-switchable fluorescence (USF) imaging was achieved via a new contrast agent and a new time-domain system implemented in an inverted fluorescence microscope. © 2017 OSA.

ISBN: (纸本)9781943580255

关键词： Fluorescence imaging

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Glypican-1-antibody-conjugated Gd–Au nanoclusters for FI/MRI dual-modal targeted detection of pancreatic cancer

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International Journal of Nanomedicine 2018年 13卷 2585-2599页

作者： Xin Huang Chengqi Fan Huanhuan Zhu Wenjun Le Shaobin Cui Xin Chen Wei Li Fulei Zhang Yong Huang Donglu Sh Zheng Cui Chengwei Shao Bingdi Chen 1 The Institute for Translational Nanomedicine Shanghai East Hospital The Institute for Biomedical Engineering & Nano Science Tongji University School of Medicine Shanghai China 2 Radiology Department of Changhai Hospital The Second Military Medical University Shanghai China 3 Department of Thyroid Surgery The First Bethune Hospital of Jilin University Jilin China 4 International Joint Cancer Institute The Second Military Medical University Shanghai China 1 The Institute for Translational Nanomedicine Shanghai East Hospital The Institute for Biomedical Engineering & Nano Science Tongji University School of Medicine Shanghai China5 The Materials Science & Engineering Program Department of Mechanical & Materials Engineering College of Engineering & Applied Science University of Cincinnati OH USA 1 The Institute for Translational Nanomedicine Shanghai East Hospital The Institute for Biomedical Engineering & Nano Science Tongji University School of Medicine Shanghai China6 Department of Pathology Wake Forest University School of Medicine Winston-Salem NC USA

IntroductionPancreatic cancer (PC) has a poor prognosis with high mortality, due to the lack of effective early diagnostic and prognostic *** and methodsIn order to target and diagnose PC, we developed a dual-modal imaging probe using Glypican-1 (GPC-1) antibody conjugated with Gd–Au nanoclusters (NCs; Gd-Au-NC-GPC-1). GPC-1 is a type of cell surface heparan sulfate proteoglycan, which is often highly expressed in PC. The probe was successfully prepared with a hydrodynamic diameter ranging from 13.5 to 24.4 *** characteristics showed absorption at 280 nm and prominent emission at 650 nm. Confocal microscopic imaging showed effective detection of GPC-1 highly expressed PC cells by Gd-Au-NC-GPC-1, which was consistent with flow cytometry results. In vitro relaxivity characterization demonstrated that the r1 value of the probe was 17.722 s−1mM−1Gd, which was almost 4 times higher compared with that of Gd-diethylenetriaminepentacetate (DTPA; r1 value =4.6 s−1mM−1Gd). Gd-Au-NC-GPC-1 exhibited similar magnetic resonance (MR) signals when compared to Gd-DTPA even at lower Gd concentrations. Much higher MR signals were registered in PC cells (COLO-357) compared with normal cells (293T). Furthermore, Gd-Au-NC-GPC-1 could effectively detect PC cells in vivo by dual-modal fluorescence imaging/magnetic resonance imaging (FI/MRI) at 30 minutes postinjection. In addition, Gd-Au-NC-GPC-1 did not show significant biotoxicity to normal cells at tested concentrations both in vitro and in ***-Au-NC-GPC-1 has demonstrated to be a promising dual-modal FI/MRI contrast agent for targeted diagnosis of PC.

关键词： pancreatic cancer Glypican-1 fluorescence imaging magnetic resonance imaging Gd–Au NCs

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Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study

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The Lancet Digital Health 2025年第5期7卷 100868页

作者： Meng, Ziyao Guan, Zhouyu Yu, Shujie Wu, Yilan Zhao, Yaoning Shen, Jie Lim, Cynthia Ciwei Chen, Tingli Yang, Dawei Ran, An Ran He, Feng Hamzah, Haslina Singh, Sarkaaj Abd Raof, Anis Syazwani Lee-Boey, Jian Wen Samuel Lim, Soo-Kun Sun, Xufang Ge, Shuwang Xu, Gang Su, Hua Cheng, Yang Lu, Feng Liao, Xiaofei Jin, Hai Deng, Chenxin Ruan, Lei Zhang, Cuntai Wu, Chan Dai, Rongping Jin, Yixiao Wang, Wenxiao Li, Tingyao Liu, Ruhan Li, Jiajia Shu, Jia Lu, Yuwei Wang, Xiangning Wu, Qiang Qin, Yiming Tang, Jin Sheng, Xiaohua Jiao, Qiong Yang, Xiaokang Guo, Minyi McKay, Gareth J Hogg, Ruth E Liew, Gerald Chee, Evelyn Yi Lyn Hsu, Wynne Lee, Mong Li Szeto, Simon Luk, Andrea O Y Chan, Juliana C N Cheung, Carol Y Tan, Gavin Siew Wei Tham, Yih-Chung Cheng, Ching-Yu Sabanayagam, Charumathi Lim, Lee-Ling Jia, Weiping Li, Huating Sheng, Bin Wong, Tien Yin Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases Department of Computer Science and Engineering School of Electronic Information and Electrical Engineering Institute for Proactive Healthcare 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 Centre for Diabetes Shanghai Key Laboratory of Diabetes Mellitus Shanghai China MOE Key Laboratory of AI School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Beijing Tsinghua Changgung Hospital Eye Center School of Clinical Medicine Tsinghua Medicine Tsinghua University 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 Renal Medicine Singapore General Hospital SingHealth-Duke Academic Medical Centre Singapore Singapore Department of Ophthalmology Shanghai Health and Medical Center Wuxi China Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Hong Kong Special Administrative Region China Singapore Eye Research Institute Singapore National Eye Centre Singapore Department of Medicine Faculty of Medicine Universiti Malaya Kuala Lumpur Malaysia Department of Ophthalmology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Hubei Wuhan China Department of Nephrology Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China Department of Nephrology Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China Department of Ophthalmology Union Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China National Engineering Research Centre for Big Dat

Background: Improving the accessibility of screening diabetic kidney disease (DKD) and differentiating isolated diabetic nephropathy from non-diabetic kidney disease (NDKD) are two major challenges in the field of diabetes care. We aimed to develop and validate an artificial intelligence (AI) deep learning system to detect DKD and isolated diabetic nephropathy from retinal fundus images. Methods: In this population-based study, we developed a retinal image-based AI-deep learning system, DeepDKD, pretrained using 734 084 retinal fundus images. First, for DKD detection, we used 486 312 retinal images from 121 578 participants in the Shanghai Integrated Diabetes Prevention and Care System for development and internal validation, and ten multi-ethnic datasets from China, Singapore, Malaysia, Australia, and the UK (65 406 participants) for external validation. Second, to differentiate isolated diabetic nephropathy from NDKD, we used 1068 retinal images from 267 participants for development and internal validation, and three multi-ethnic datasets from China, Malaysia, and the UK (244 participants) for external validation. Finally, we conducted two proof-of-concept studies: a prospective real-world study with 3 months' follow-up to evaluate the effectiveness of DeepDKD in screening DKD;and a longitudinal analysis of the effectiveness of DeepDKD in differentiating isolated diabetic nephropathy from NDKD on renal function changes with 4·6 years' follow-up. Findings: For detecting DKD, DeepDKD achieved an area under the receiver operating characteristic curve (AUC) of 0·842 (95% CI 0·838–0·846) on the internal validation dataset and AUCs of 0·791–0·826 across external validation datasets. For differentiating isolated diabetic nephropathy from NDKD, DeepDKD achieved an AUC of 0·906 (0·825–0·966) on the internal validation dataset and AUCs of 0·733–0·844 across external validation datasets. In the prospective study, compared with the metadata model, DeepDKD could detect DKD wit

关键词： Deep learning

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