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Wnt3a signaling promotes proliferation,myogenic differentiation,and migration of rat bone marrow mesenchymal stem cells

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Acta Pharmacologica Sinica 2007年第11期28卷 1761-1774页

作者： Yan-chang SHANG~(2,3),Shu-hui WANG~4,Fu XIONG~5,Cui-ping ZHAO~2,Fu-ning PENG~2,Shan-wei FENG~2,Mei-shan LI~2,YongLI~5,Cheng ZHANG~(2,5,6)~2 department of neurology First Affiliated hospital,sun yat-sen university,guangzhou 510080,china,~3 department of Geriatric neurologyChinese People's Liberation Army General hospital,beijing 100853,china ~4 department of neurology,beijing friendship hospital,capitalmedical university,beijing 100050,china,~5 center for stem cell biology and tissue engineering,sun yat-sen university guangzhou510080.china department of neurology First Affiliated Hospital Sun Yat-sen University Guangzhou China department of Geriatric neurology Chinese People's Liberation Army General Hospital Beijing China department of neurology Beijing Friendship Hospital Capital Medical University Beijing China center for stem cell biology and tissue engineering Sun Yat-sen University Guangzhou China

Aim:To investigate the effects of the wingless-related MMTV integration site 3A(Wnt3a) signaling on the proliferation,migration,and the myogenic and adipogenicdifferentiation of rat bone marrow mesenchymal stem cells (rMSC).Methods:Primary MSC were isolated and cultured from Sprague-Dawley rats and character-ized by flow *** L cells were transfected with Wnt3a cDNA,andconditioned media containing active Wnt3a proteins were *** prolif-eration was evaluated by cell count and 5-bromodeoxyuridine incorporation *** migration of rMSC was performed by using a transwell migration and woundhealing *** myogenic and adipogenic differentiation in rMSC were exam-ined by light microscopy,immunofluorescence,and RT-PCR at different timepoints after myogenic or adipogenic ***:Wnt3a signaling in-duced β-catenin nuclear translocation and activated the Wnt pathway in *** the presence of Wnt3a,rMSC proliferated more rapidly than the control cells,keeping their differentiation ***,Wnt3a signaling induced 2.62%and 3.76% of rMSC-expressed desmin and myosin heavy chain after being cul-tured in myogenic *** myogenic differentiation genes,including Pax7,MyoD,Myf5,Myf4,and myogenin,were activated after Wnt3a *** theother hand,Wnt3a inhibited the adipogenic differentiation in rMSC through thedownregulated expression of CCAAT/enhancer-binding protein alpha (C/EBPalpha)and peroxisome proliferator-activated receptor gamma (PPARgamma).Furthermore,Wnt3a promoted the migration capacity of ***:The results indi-cate that Wnt3a signaling can induce myogenic differentiation in ***3asignaling is also involved in the regulation of the proliferation and migration *** results could provide a rational foundation for cell-based tissuerepair in humans.

关键词： Wingless-related MMTV integration site (Wnt) mesenchymal stem cells myogenic differentiation adipogenic differentiation proliferation migration

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Single-cell transcriptomic Atlas of aging macaque ocular outflow tissues

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Protein & cell 2024年第8期15卷 594-611页

作者： Jian Wu Chaoye Wang Shuhui sun Tianmin Ren Lijie Pan Hongyi Liu Simeng Hou Shen Wu Xuejing Yan Jingxue Zhang Xiaofang Zhao Weihai Liu Sirui Zhu Shuwen Wei Chi Zhang Xu Jia Qi Zhang Ziyu Yu Yehong Zhuo Qi Zhao Chenlong Yang Ningli Wang beijing Institute of Ophthalmology Beijing Tongren Eye CenterBeijing Tongren HospitalCapital Medical UniversityBeijing Key Laboratory of Ophthalmology and Visual SciencesBeijing 100730China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangzhou 510060China State Key Laboratory of Oncology in South china Collaborative Innovation Center for Cancer MedicineSun Yat-sen University Cancer CenterGuangzhou 510060China State Key Laboratory of Membrane biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China beijing Institute for stem cell and Regenerative Medicine Beijing 100101China Institute for stem cell and Regeneration Chinese Academy of SciencesBeijing 100101China department of Neurosurgery Peking University Third HospitalCenter for Precision Neurosurgery and Oncology of Peking University Health Science CenterBeijing 100191China Spencer center for Vision Research Byers Eye InstituteSchool of MedicineStanford UniversityPalo AltoCA 94304USA

The progressive degradation in the trabecular meshwork(TM)is related to age-related ocular diseases like primary open-angle ***,the molecular basis and biological significance of the aging process in TM have not been fully ***,we established a dynamic single-cell transcriptomic landscape of aged macaque TM,wherein we classified the outflow tissue into 12 cell subtypes and identified mitochondrial dysfunction as a prominent feature of TM ***,we divided TM cells into 13 clusters and performed an in-depth analysis on cluster O,which had the highest aging score and the most significant changes in cell proportions between the two ***,we found that the APOE gene was an important differentially expressed gene in cluster O during the aging process,highlighting the close relationship between cell migration and extracellular matrix regulation,and TM *** work further demonstrated that silencing the APOE gene could increase migration and reduce apoptosis by releasing the inhibition on the PI3K-AKT pathway and downregulating the expression of extracellular matrix components,thereby increasing the aqueous outflow rate and maintaining intraocular pressure within the normal *** work provides valuable insights for future clinical diagnosis and treatment of glaucoma.

关键词： single-cell transcriptomic atlas macaque trabecular meshwork ocular outflow tissue aging

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眼表外胚层与表面外胚层转录组差异分析

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国际眼科杂志 2024年第5期24卷 677-685页

作者：孙露张灿伟宋玉雯李建新段练高阳谢月美王露萍党光福山东第一医科大学第一附属医院眼科山东省济南市250013 山东第一医科大学山东省济南市250117 中山大学中山眼科中心广东省广州市510000 中国山东省淄博市市立医院眼科 255499 首都医科大学附属北京友谊医院眼科北京市100050

目的:通过RNA-seq分析眼表外胚层(OSE)与表面外胚层(SE)转录组表达差异,揭示OSE转录组景观及转录调控网络。方法:人类胚胎干细胞(hES)被分化成OSE细胞和SE细胞,利用RNA-seq分析了OSE与SE之间差异表达的基因(DEGs)。基于这些差异表达基因... 详细信息

目的:通过RNA-seq分析眼表外胚层(OSE)与表面外胚层(SE)转录组表达差异,揭示OSE转录组景观及转录调控网络。方法:人类胚胎干细胞(hES)被分化成OSE细胞和SE细胞,利用RNA-seq分析了OSE与SE之间差异表达的基因(DEGs)。基于这些差异表达基因,进行基因本体论(GO)、京都基因与基因组百科全书(KEGG)通路富集以及蛋白质-蛋白质交互作用(PPI)网络分析,并筛选出了关键的转录因子(TFs)和枢纽基因。使用NetworkAnalyst平台构建了TF-基因和TF-miRNA调控网络。结果:OSE与SE共筛选出4 182个差异基因,OSE细胞中上调基因2 771个,下调基因1 411个。GO-BP富集分析显示OSE上调基因主要集中在离子跨膜转运的调节、轴突发育、调节化学突触传递等相关生物学进程,下调基因主要富集在核分裂、染色体分离、细胞周期相变的调控等生物学进程;KEGG富集分析显示OSE上调基因主要富集在可卡因成瘾、轴突导向、苯丙胺成瘾等通路,下调基因主要富集于癌症中的蛋白聚糖、ECM-受体相互作用、蛋白质消化和吸收、细胞因子-细胞因子受体相互作用等通路。与SE相比,OSE细胞中有204个TFs(FOS、EGR1、POU5F1、SOX2和PAX6等)上调,80个TFs(HAND2、HOXB6、HOXB5、HOXA5和HOXB8等)下调。在OSE细胞中发现了6个上调和9个下调枢纽基因,并根据这些枢纽基因构建了TF-基因和TF-miRNA调控网络。结论:RNA-seq分析阐明了OSE和SE细胞的转录组特征,这些数据可为OSE及角结膜上皮发育调控及体外定向诱导等研究提供指导。

关键词：眼表外胚层表面外胚层转录组差异基因信号通路

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A single-nucleus transcriptomic atlas of primate testicular aging reveals exhaustion of the spermatogonial stem cell reservoir and loss of Sertoli cell homeostasis

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Protein & cell 2023年第12期14卷 888-907页

作者： Daoyuan Huang Yuesheng Zuo Chen Zhang Guoqiang sun Ying Jing Jinghui Lei Shuai Ma Shuhui sun Huifen Lu Yusheng Cai Weiqi Zhang Fei Gao Andy Peng Xiang Juan Carlos Izpisua Belmonte Guang-Hui Liu Jing Qu Si Wang Advanced Innovation center for Human Brain Protection National Clinical Research Center for Geriatric DisordersXuanwu Hospital Capital Medical UniversityBeijing100053China State Key Laboratory of stem cell and Reproductive biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China Aging Translational Medicine center International Center for Aging and CancerBeijing Municipal Geriatric Medical Research CenterXuanwu HospitalCapital Medical UniversityBeijing 100053China State Key Laboratory of Membrane biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China university of Chinese Academy of Sciences Beijing 100049China beijing Institute for stem cell and Regenerative Medicine Beijing 100101China CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of SciencesBeijing 100101China Institute for stemcell and Regeneration CAsBeijing100101China china National center for Bioinformation Beijing 100101China The Fifth People's hospital of Chongqing Chongqing 400062China 11Sino-Danish College University of Chinese Academy of SciencesBeijing 101408China Sino-Danish center for Education and Research Beijing 101408China center for stem cell biology and tissue engineering Key Laboratory for Stem Cells and Tissue EngineeringMinistry of EducationSun Yat-sen UniversityGuangzhou510000China department of Biochemistry Zhongshan School of MedicineSun Yat-sen UniversityGuangzhou 510000China Altos Labs Inc.San DiegoCA 92121USA and Aging Biomarker Consortium China

The testis is pivotal for male reproduction,and its progressive functional decline in aging is associated with ***,the regulatory mechanism underlying primate testicular aging remains largely ***,we resolve the aging-related cellular and molecular alterations of primate testicular aging by establishing a single-nucleus transcriptomic ***-expression patterns along the spermatogenesis trajectory revealed molecular programs associated with attrition of spermatogonial stem cell reservoir,disturbed meiosis and impaired spermiogenesis along the sequential ***,Sertoli cell was identified as the cell type most susceptible to aging,given its deeply perturbed age-associated transcriptional ***,downregulation of the transcription factor Wilms'Tumor 1(WTi),essential for Sertoli cell homeostasis,was associated with accelerated cellular senescence,disrupted tight junctions,and a compromised cell identity signature,which altogether may help create a hostile microenvironment for ***,our study depicts in-depth transcriptomic traits of non-human primate(NHP)testicular aging at single-cell resolution,providing potential diagnostic biomarkers and targets for therapeutic interventions against testicular aging and age-related male reproductive diseases.

关键词： single-nucleus RNA sequencing primate testis aging WT1

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PCGF6 regulates stem cell pluripotency as a transcription activator via super-enhancer dependent chromatin interactions

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Protein & cell 2019年第10期10卷 709-725页

作者： Xiaona Huang Chao Wei Fenjie Li Lumeng Jia Pengguihang Zeng Jiahe Li Jin Tan Tuanfeng sun Shaoshuai Jiang Jia Wang Xiuxiao Tang Bin Liu Limin Rong Cheng Li Junjun Ding RNA Biomedical Institute Sun Yat-Sen Memorial HospitalZhongshan School of MedicineSun Yat-Sen UniversityGuangzhou 510080China center for stem cell biology and tissue engineering Key Laboratory for Stem Cells and Tissue EngineeringMinistry of EducationSun Yat-Sen UniversityGuangzhou 510080China department of cell biology Zhongshan School of MedicineSun Yat-sen UniversityGuangzhou 510080China Program in stem cell and Regenerative Medicine The Third Affiliated Hospital of Sun Yat-sen UniversityZhongshan School of MedicineSun Yat-Sen UniversityGuangzhouChina center for Bioinformatics School of Life SciencesPeking UniversityBeijing 100871China department of Spine Surgery The Third Affiliated Hospital of Sun Yat-sen UniversityGuangzhou 510630China department of Histology and Embryology School of Basic Medical SciencesGuangzhou Medical UniversityGuangzhou 511436China

Polycomb group(PcG)ring finger protein 6(PCGF6),though known as a member of the transcription-re-pressing complexes,PcG,also has activation function in regulating pluripotency gene ***,the mechanism underlying the activation function of PCGF6 is poorly ***,we found that PCGF6 co-localizes to gene activation regions along with pluripotency factors such as *** addition,PCGF6 was recruited to a subset of the super-enhancer(SE)regions upstream of cell cycle-associated genes by OCT4,and increased their *** combining with promoter capture Hi-C data,we found that PCGF6 activates cell cycle genes by regulating SE-promoter interactions via 3D *** fin dings highlight a novel mechanism of PcG protein in regulating pluripotency,and provide a research basis for the therapeutic application of pluripotent stem cells.

关键词： PCGF6 Polycomb group super-enhancer 3D chromatin pluripotency

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Advanced smart biomaterials and constructs for hard tissue engineering and regeneration

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Bone Research 2018年第4期6卷 316-330页

作者： Ke Zhang Suping Wang Chenchen Zhou Lei Cheng Xianling Gao Xianju Xie Jirun sun Haohao Wang Michael D.Weir Mark A.Reynolds Ning Zhang Yuxing Bai Hockin H.K.Xu department of Orthodontics School of Stomatology Capital Medical University department of Advanced Oral Sciences and Therapeutics University of Maryland Dental School State Key Laboratory of Oral Diseases & National Clinical Research center for Oral Diseases & Deptartment of Cariology and Endodonics West china hospital of Stomatology Sichuan University department of Operative Dentistry and Endodontics Guanghua School of Stomatology Sun Yat-sen University Guangdong Provincial Key Laboratory of Stomatology Volpe Research center American Dental Association Foundation National Institute of Standards and Technology center for stem cell biology & Regenerative Medicine University of Maryland School of Medicine Marlene and Stewart Greenebaum Cancer center University of Maryland School of Medicine

Hard tissue repair and regeneration cost hundreds of billions of dollars annually worldwide, and the need has substantially increased as the population has aged. Hard tissues include bone and tooth structures that contain calcium phosphate *** biomaterial-based tissue engineering and regenerative medicine methods have the exciting potential to meet this urgent need. Smart biomaterials and constructs refer to biomaterials and constructs that possess instructive/inductive or triggering/stimulating effects on cells and tissues by engineering the material’s responsiveness to internal or external stimuli or have intelligently tailored properties and functions that can promote tissue repair and regeneration. The smart material-based approaches include smart scaffolds and stem cell constructs for bone tissue engineering; smart drug delivery systems to enhance bone regeneration; smart dental resins that respond to pH to protect tooth structures; smart pH-sensitive dental materials to selectively inhibit acid-producing bacteria; smart polymers to modulate biofilm species away from a pathogenic composition and shift towards a healthy composition; and smart materials to suppress biofilms and avoid drug resistance. These smart biomaterials can not only deliver and guide stem cells to improve tissue regeneration and deliver drugs and bioactive agents with spatially and temporarily controlled releases but can also modulate/suppress biofilms and combat infections in wound sites. The new generation of smart biomaterials provides exciting potential and is a promising opportunity to substantially enhance hard tissue engineering and regenerative medicine efficacy.

关键词： regeneration engineering minerals

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Questions about NgAgo

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Protein & cell 2016年第12期7卷 913-915页

作者： Shawn Burgess Linzhao Cheng Feng Gu Zhiwei Huang Shuo Lin Jinsong Li Wei Li Wei Qin Yujie sun Zhou Songyang Wensheng Wei Qiang Wu Haoyi Wang Xiaoqun Wang Jing-Wei Xiong Jianzhong Xi Hui Yang Bin Zhou Bo Zhang Junjiu Huang National Human Genome Research Institute NIH Bethesda MD 20892 USA Division of Hematology in department of Medicine Johns HopkinsUniversity School of Medicine Baltimore MD 21205 USA stem cell Program in the Institute for cell engineering Johns Hopkins University School of Medicine Baltimore MD 21205 USA center for Vision Research Eye Hospital Wenzhou Medical University Wenzhou 325035 China stem cell and Functional Genomics Laboratory School of LifeSciences Sun Yat-sen University Guangzhou 510275 China HIT center of Life Sciences Harbin Institute of Technology Harbin 150080 China department of Molecular Cell and Developmental Biology University of California Los Angeles Los Angeles CA 90095 USA Institute of Biochemistry and cell biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031 China State Key Laboratory of stem cell and Reproductive biology Institute of Zoology Chinese Academy of Sciences Beijing 100101 China College of Chemical biology and Biotechnology Peking Univer- sity Shenzhen Graduate School Shenzhen 518055 China PKU BIOPIC Beijing 100871 China BIOPIC ICG CLS and School of Life Sciences Peking Univer-sity Beijing 100871 China center for Comparative Biomedicine Institute of SystemsBiomedicine Shanghai Jiao Tong University Shanghai 200240China Institute of Biophysics Chinese Academy of Sciences Beijing100101 China Institute of Molecular Medicine Peking University Beijing100871 China College of engineering Peking University Beiiing 100871 China Laboratory of Disease Models in Non-Human Primates Instituteof Neuroscience Shanghai Chinese Academy of SciencesShanghai 200031 China College of Life Sciences Peking University Beijing 100871 China

Dear Editor： Gao et al. published data in Nature Biotechnology （Nat Biotechnol. 2016 May 2） showing that DNA-guided genome editing using the Natronobacterium gregoryi Argonaute （NgAgo） protein targeted 47 mammalian genomic loci with a 100% success rate and an efficiency of 21.3%-41.3% at various targets. This report led us to test NgAgo＇s utility in various cells and organisms such as mouse and zebrafish for gene editing.

关键词： Supplementary Information Genomic Locus Genome Editing Gene Editing Online Forum

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Biomarkers of aging

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Science china(Life Sciences) 2023年第5期66卷 893-1066页

作者： Aging Biomarker Consortium Hainan Bao Jiani Cao Mengting Chen Min Chen Wei Chen Xiao Chen Yanhao Chen Yu Chen Yutian Chen Zhiyang Chen Jagadish K Chhetri Yingjie Ding Junlin Feng Jun Guo Mengmeng Guo Chuting He Yujuan Jia Haiping Jiang Ying Jing Dingfeng Li Jiaming Li Jingyi Li Qinhao Liang Rui Liang Feng Liu Xiaoqian Liu Zuojun Liu Oscar Junhong Luo Jianwei Lv Jingyi Ma Kehang Mao Jiawei Nie Xinhua Qiao Xinpei sun Xiaoqiang Tang Jianfang Wang Qiaoran Wang Siyuan Wang Xuan Wang Yaning Wang Yuhan Wang Rimo Wu Kai Xia Fu-Hui Xiao Lingyan Xu Yingying Xu Haoteng Yan Liang Yang Ruici Yang Yuanxin Yang Yilin Ying Le Zhang Weiwei Zhang Wenwan Zhang Xing Zhang Zhuo Zhang Min Zhou Rui Zhou Qingchen Zhu Zhengmao Zhu Feng Cao Zhongwei Cao Piu Chan Chang Chen Guobing Chen Hou-Zao Chen Jun Chen Weimin Ci Bi-sen Ding Qiurong Ding Feng Gao Jing-Dong JHan Kai Huang Zhenyu Ju Qing-Peng Kong Ji Li Jian Li Xin Li Baohua Liu Feng Liu Lin Liu Qiang Liu Qiang Liu Xingguo Liu Yong Liu Xianghang Luo Shuai Ma Xinran Ma Zhiyong Mao Jing Nie Yaojin Peng Jing Qu Jie Ren Ruibao Ren Moshi Song Zhou Songyang Yi Eve sun Yu sun Mei Tian Shusen Wang Si Wang Xia Wang Xiaoning Wang Yan-Jiang Wang Yunfang Wang Catherine CL Wong Andy Peng Xiang Yichuan Xiao Zhengwei Xie Daichao Xu Jing Ye Rui Yue Cuntai Zhang Hongbo Zhang Liang Zhang Weiqi Zhang Yong Zhang Yun-Wu Zhang Zhuohua Zhang Tongbiao Zhao Yuzheng Zhao Dahai Zhu Weiguo Zou Gang Pei Guang-Hui Liu Aging Biomarker Consortium(ABC) Beijing 100101China CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing 100101China State Key Laboratory of stem cell and Reproductive biology Institute of ZoologyChinese Academy of SciencesBeijing 100101China department of Dermatology Xiangya HospitalCentral South UniversityChangsha 410008China Hunan Key Laboratory of Aging biology Xiangya HospitalCentral South UniversityChangsha 410008China National Clinical Research center for Geriatric Disorders Xiangya HospitalCentral South UniversityChangsha 410008China Clinic center of Human Gene Research Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Hubei Clinical Research center of Metabolic and Cardiovascular Disease Huazhong University of Science and TechnologyWuhan 430022China Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging Huazhong University of Science and TechnologyWuhan 430022China stem cell Translational Research center Tongji HospitalTongji University School of MedicineShanghai 200065China department of Nuclear Medicine Daping HospitalThird Military Medical UniversityChongqing 400042China CAS Key Laboratory of Nutrition Metabolism and Food SafetyShanghai Institute of Nutrition and HealthUniversity of Chinese Academy of SciencesChinese Academy of SciencesShanghai 200031China Shanghai Key Laboratory of Maternal Fetal Medicine Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalFrontier Science Center for Stem Cell ResearchShanghai Key Laboratory of Signaling and Disease ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China The department of Endovascular Surgery The First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Key Laboratory of Regenerative Medicine of Ministry of Education Institute of Ageing and Regenerative MedicineJ

Aging biomarkers are a combination of biological parameters to(i)assess age-related changes,(ii)track the physiological aging process,and(iii)predict the transition into a pathological *** a broad spectrum of aging biomarkers has been developed,their potential uses and limitations remain poorly *** immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research:How old are we?Why do we get old?And how can we age slower?This review aims to address this ***,we summarize our current knowledge of biomarkers developed for cellular,organ,and organismal levels of aging,comprising six pillars:physiological characteristics,medical imaging,histological features,cellular alterations,molecular changes,and secretory *** fulfill all these requisites,we propose that aging biomarkers should qualify for being specific,systemic,and clinically relevant.

关键词： aging senescence biomarker clock

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Erratum to： Questions about NgAgo

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Protein & cell 2017年第1期8卷 77-77页

作者： Shawn Burgess Linzhao Cheng Feng Gu Junjiu Huang Zhiwei Huang Shuo Lin Jinsong Li Wei Li Wei Qin Yujie sun Zhou Songyang wensheng Wei Qiang Wu Haoyi Wang Xiaoqun Wang Jing-Wei Xiong Jianzhong Xi Hui Yang Bin Zhou Bo Zhang National Human Genome Research Institute NIH Bethesda MD USA Division of Hematology in department of Medicine Johns Hopkins University School of Medicine Baltimore MD 21205 USA stem cell Program in the Institute for cell engineering Johns Hopkins University School of Medicine Baltimore MD 21205 USA center for Vision Research Eye Hospital Wenzhou Medical University Wenzhou 325035 China stem cell and Functional Genomics Laboratory School of Life Sciences Sun Yat-sen University Guangzhou 510275 China HIT center of Life Sciences Harbin Institute of Technology Harbin 150080 China department of Molecular Cell and Developmental Biology University of California Los Angeles Los Angeles CA 90095 USA Institute of Biochemistry and cell biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031 China State Key Laboratory of stem cell and Reproductive biology Institute of Zoology Chinese Academy of Sciences Beijing 100101 China College of Chemical biology and Biotechnology Peking University Shenzhen Graduate School Shenzhen 518055 China PKU BIOPIC Beijing 100871 China BIOPIC ICG CLS and School of Life Sciences Peking University Beijing 100871 China center for Comparative Biomedicine Institute of Systems Biomedicine Shanghai Jiao Tong University Shanghai 200240 China Institute of Biophysics Chinese Academy of Sciences Beijing 100101 China Institute of Molecular Medicine Peking University Beijing 100871 China College of engineering Peking University Beijing 106871 China Laboratory of Disease Models in Non-Human Primates Institute of Neuroscience Shanghai Chinese Academy of Sciences Shanghai 200031 China College of Life Sciences Peking University Beijing 100871 China

In the original publication of this article the Figure 1E legend has been incorrectly published.

关键词： Erratum Questions NgAgo

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基于个体化机器学习的原发性免疫性血小板减少症危重出血预测模型:一项全国前瞻性队列研究

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科学通报:英文版 2023年第18期68卷 2106-2114,M0004页

作者： Zhuo-Yu An Ye-Jun Wu Yu Hou Heng Mei Wei-Xia Nong Wen-Qian Li Hu Zhou Ru Feng Jian-Ping Shen Jun Peng Hai Zhou Yi Liu Yong-Ping Song Lin-Hua Yang Mei-Yun Fang Jian-Yong Li Yun-Feng Cheng Peng Liu Ya-Jing Xu Zhao Wang Yi Luo Zhen Cai Hui Liu Jing-Wen Wang Juan Li Xi Zhang Zi-Min sun Xiao-Yu Zhu Xin Wang Rong Fu Liang Huang Shao-Yuan Wang Tong-Hua Yang Li-Ping Su Liang-Ming Ma Xie-Qun Chen Dai-Hong Liu Hong-Xia Yao Jia Feng Hong-Yu Zhang Ming Jiang Ze-Ping Zhou Wen-Sheng Wang Xu-Liang Shen Yangjin Baima Yue-Ying Li Qian-Fei Wang Qiu-Sha Huang Hai-Xia Fu Xiao-Lu Zhu Yun He Qian Jiang Hao Jiang Jin Lu Xiang-Yu Zhao Ying-Jun Chang Tao Wu Yao-Zhu Pan Lin Qiu Da Gao A-Rong Jin Wei Li Su-Jun Gao Lei Zhang Ming Hou Xiao-Jun Huang Xiao-Hui Zhang on behalf of the National Cooperative ITP Working Group Peking university People’s hospital Peking University Institute of HematologyBeijing 100044China Collaborative Innovation center of Hematology Peking UniversityBeijing 100044China beijing Key Laboratory of Hematopoietic stem cell Transplantation Beijing 100044China National Clinical Research center for Hematologic Disease Beijing 100044China department of Hematology Qilu HospitalCheeloo College of MedicineShandong UniversityJinan 250014China Institute of Hematology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430074China department of Hematology First Affiliated HospitalSchool of MedicineShihezi UniversityShihezi 832002China department of Hematology Qinghai Provincial People’s HospitalXining 810007China Henan Cancer hospital Affiliated Cancer Hospital of Zhengzhou UniversityHenan Institute of HematologyZhengzhou 450008China department of Hematology Beijing HospitalBeijing 100044China department of Hematology Zhejiang Provincial Hospital of Traditional Chinese MedicineHangzhou 310006China department of Hematology Senior Department of Hematologythe Fifth Medical Center of PLA General HospitalBeijing 100044China department of Hematology the Second Hospital of Shanxi Medical UniversityTaiyuan 030001China department of Hematology Affiliated Zhongshan Hospital of Dalian UniversityDalian 116001China department of Hematology The First Affiliated Hospital with Nanjing Medical University(Jiangsu Province Hospital)Nanjing 210029China department of Hematology Zhongshan HospitalFudan UniversityShanghai 200032China department of Hematology Xiangya HospitalCentral South UniversityChangsha 410008China department of Hematology Beijing Friendship HospitalCapital Medical UniversityBeijing 100044China Institute of Hematology the First Affiliated HospitalZhejiang UniversityHangzhou 310058China department of Hematology Beijing Tongren HospitalBeijing 100005China department of Hematology The First Affiliated HospitalSun Yat-sen UniversityGuang

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者... 详细信息

原发性免疫性血小板减少症(ITP)中少见但至关重要的危重出血事件,给患者的预后、生活质量和治疗决策带来严重影响。尽管有一些研究探讨了ITP中与危重出血相关的风险因素,但目前尚缺乏大样本数据、大规模多中心研究结果以及针对ITP患者致命出血事件的预测模型。本研究首次采用国际血栓与止血学会新提出的ITP致命出血标准,利用大样本数据开发了首个基于机器学习的在线应用,用于预测ITP患者的致命出血.研究中,我们使用中国各地大型多中心数据进行开发,并对全国39家医疗中心进行为期一年的外部测试,得到了较好的训练、验证和测试数据集预测能力该基于新算法的便捷网络工具能够快速识别ITP患者的出血风险,辅助临床决策,有望未来降低不良事件的发生。

关键词： Critical bleeding Severe bleeding Immune thrombocytopenia Machine learning Prediction model

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