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DNA methylation markers in the diagnosis and prognosis of common leukemias

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Signal Transduction and Targeted Therapy 2020年第1期5卷 2468-2477页

作者： Hua Jiang Zhiying Ou Yingyi He Meixing Yu Shaoqing Wu Gen Li Jie Zhu Ru zhang Jiayi Wang Lianghong Zheng Xiaohong zhang Wenge Hao Liya He Xiaoqiong Gu Qingli Quan Edward zhang Huiyan Luo Wei Wei Zhihuan Li Guangxi Zang charlotte zhang Tina Poon Daniel zhang Ian Ziyar Run-ze zhang Oulan Li Linhai Cheng Taylor Shimizu Xinping Cui Jian-kang Zhu Xin Sun Kang zhang Guangzhou Women and Children’s Medical Center Guangzhou Medical UniversityGuangzhou 510623China Guangzhou Regenerative Medicine and Health Guangdong Laboratory Guangzhou 510005China State Key Laboratory of Oncology Sun Yat-sen University Cancer CenterGuangzhou 510060China Department of Statistics and Institute for Integrative Genome Biology University of California RiversideRiversideCA 92521USA Shanghai Center for Plant Stress Biology Shanghai Institute for Biological SciencesChinese Academy of SciencesShanghai 210602China Faculty of Medicine Macao University of Science and TechnologyTaipaMacaoChina

The ability to identify a specific type of leukemia using minimally invasive biopsies holds great promise to improve the diagnosis,treatment selection,and prognosis prediction of *** genome-wide methylation profiling and machine learning methods,we investigated the utility of CpG methylation status to differentiate blood from patients with acute lymphocytic leukemia(ALL)or acute myelogenous leukemia(AML)from normal *** established a CpG methylation panel that can distinguish ALL and AML blood from normal blood as well as ALL blood from AML blood with high sensitivity and *** then developed a methylation-based survival classifier with 23 CpGs for ALL and 20 CpGs for AML that could successfully divide patients into high-risk and low-risk groups,with significant differences in clinical outcome in each leukemia ***,these findings demonstrate that methylation profiles can be highly sensitive and specific in the accurate diagnosis of ALL and AML,with implications for the prediction of prognosis and treatment selection.

关键词： diagnosis prognosis acute

Clinical applications of retinal gene therapies

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Precision Clinical Medicine 2018年第1期1卷 5-20页

作者： Xin Fu Viet Anh Nguyen Huu Yaou Duan Daniel S.Kermany Carolina C.S.Valentim Runze zhang Jie Zhu charlotte L.zhang Xiaodong Sun Kang zhang Guangzhou Women and Children's Medical Center Guangzhou Medical UniversityGuangzhou 510005China Shiley Eye Institute Institute for Engineering in MedicineInstitute for Genomic MedicineUniversity of CaliforniaSan DiegoLa JollaCalifomia 92093USA Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai General HospitalShan ghai Jiaodong UniversityShanghai 200080China Molecular Medicine Research Center West China HospitalSichuan UniversityChengdu 610041China

Retinal degenerative diseases are a major cause of *** gene therapy is a trail-blazer in the human gene therapy field,leading to the frst FDA approved gene therapy product for a human genetic *** application of Clustered Regularly Interspaced Short Palindromic Repeat/Cas9(CRISPR/Cas9)-mediated gene editing technology is transforming the delivery of gene *** review the history,present,and future pro-spects of retinal gene therapy.

关键词： CRISPR/Cas9 therapy diseases

Clinical longitudinal evaluation of COVID-19 patients and prediction of organ-specific recovery using artificial intelligence

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Precision Clinical Medicine 2021年第1期4卷 62-69页

作者： Winston T.Wang charlotte L.zhang Kang Wei Ye Sang Jun Shen Guangyu Wang Alexander X.Lozano Department of Materials Science&Engineering Stanford UniversityStanfordCA 94305USA Mayo Clinic Alix school of Medicine ScottsdaleAZ 85259USA Guangzhou Women and Children’s Medical Center Guangzhou Medical UniversityGuangzhou 510623China The First College of Clinical Medical Science China Three Gorges UniversityYichang 443000China Department of Radiology Sun Yat-Sen Memorial HospitalSun Yat-Sen UniversityGuangzhou 510120China School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

Within COVID-19 there is an urgent unmet need to predict at the time of hospital admission which COVID-19 patients will recover from the disease,and how fast they recover to deliver personalized treatments and to properly allocate hospital resources so that healthcare systems do not become *** this end,we have combined clinically salient CT imaging data synergistically with laboratory testing data in an integrative machine learning model to predict organ-specific recovery of patients from *** trained and validated our model in 285 patients on each separate major organ system impacted by COVID-19 including the renal,pulmonary,immune,cardiac,and hepatic *** greatly enhance the speed and utility of our model,we applied an artificial intelligence method to segment and classify regions on CT imaging,from which interpretable data could be directly fed into the predictive machine learning model for overall *** all organ systems we achieved validation set area under the receiver operator characteristic curve(AUC)values for organ-specific recovery ranging from 0.80 to 0.89,and significant overall recovery prediction in Kaplan-Meier *** demonstrates that the synergistic use of an artificial intelligence(AI)framework applied to CT lung imaging and a machine learning model that integrates laboratory test data with imaging data can accurately predict the overall recovery of COVID-19 patients from baseline characteristics.

关键词： artificial intelligence medical image COVID-19 longitudinal evaluation

EyeHealer:A large-scale anterior eye segment dataset with eye structure and lesion annotations

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Precision Clinical Medicine 2021年第2期4卷 85-92页

作者： Wenjia Cai Jie Xu Ke Wang Xiaohong Liu Wenqin Xu Huimin Cai Yuanxu Gao Yuandong Su Meixia zhang Jie Zhu charlotte L.zhang Edward E.zhang Fangfei Wang Yun Yin Iat Fan Lai Guangyu Wang Kang zhang Yingfeng Zheng State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangzhou 510060China Beijing Institute of Ophthalmology Capital Medical UniversityBeijing Tongren HospitalBeijing 100730China Department of Computer Science and Technology&BNRist Tsinghua UniversityBeijing 100084China Center for Biomedicine and Innovations Faculty of MedicineMacao University of Science and Technology and University HospitalMacao 999078China Guangzhou Women and Children’s Medical Center Guangzhou Medical UniversityGuangzhou 510623China Center for Translational Innovations West China Hospital and Sichuan UniversityChengdu 610041China Bioland Laboratory Guangzhou 510005China School of Business Macao University of Science and TechnologyMacao 999078China Ophthalmic Center Kiang Wu HospitalMacaoChina School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China

Anterior segment eye diseases account for a significant proportion of presentations to eye clinics worldwide,including diseases associated with corneal pathologies,anterior chamber abnormalities(*** or inflammation),and lens *** construction of an automatic tool for segmentation of anterior segment eye lesions would greatly improve the efficiency of clinical *** research on artificial intelligence progressing in recent years,deep learning models have shown their superiority in image classification and *** training and evaluation of deep learning models should be based on a large amount of data annotated with expertise;however,such data are relatively scarce in the domain of ***,the authors developed a new medical image annotation system,called *** is a large-scale anterior eye segment dataset with both eye structures and lesions annotated at the pixel *** experiments were conducted to verify its performance in disease classification and eye lesion *** results showed that semantic segmentation models outperformed medical segmentation *** paper describes the establishment of the system for automated classification and segmentation *** dataset will be made publicly available to encourage future research in this area.

关键词： anterior segment eye diseases artificial intelligence annotation

Bilateral simultaneous primary acute angle-closure glaucoma

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Precision Clinical Medicine 2020年第4期3卷 297-300页

作者： charlotte L.zhang Wico LLai Ian Ziyar Laurance Lai Yuen Lau Jie Xu Beijing Institute of Ophthalmology Beijing Tongren HospitalCapital Medical UniversityBeijing 100005China University Hospital and Faculty of Medicine Macao University of Science and TechnologyMacaoChina

Dear Editor,Acute primary angle-closure glaucoma(PACG)is an important cause of blindness in East Asia.1 It is estimated that the overall prevalence of PACG will increase from 1.44%to 2.01%from 2020 to 2050.2 Acute PACG is typically related to increased high intraocular pressure(IOP),with symptoms including red eye,blurred vision,nausea,vomiting,and *** in timely IOPlowering treatment can result in permanent optic nerve damage and vision loss.

关键词： glaucoma acute primary angle closure

The SARS-CoV-2 spike L452R-E484Q variant in the Indian B.1.617 strain showed significant reduction in the neutralization activity of immune sera

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Precision Clinical Medicine 2021年第3期4卷 149-154页

作者： Gen Li Zhongcheng Zhou Peng Du Meixing Yu Ning Li Xinxin Xiong Hong Huang Zhihai Liu Qinjin Dai Jie Zhu Chengbin Guo ShanyunWu Daniel T.Baptista-Hon Man Miao LamWai Ming Yong Wu Fanxin Zeng charlotte L.zhang Edward D.zhang Haifeng Song Jianghai Liu Johnson Yiu-Nam Lau Andy P.Xiang Kang zhang Guangzhou Women and Children’s Medical Center Guangzhou Medical UniversityGuangzhou 510620China University Hospital and Center for Biomedicine and Innovations Faculty of MedicineMacao University of Science and TechnologyMacao 030027China Jinan University First Affiliated Hospital Jinan UniversityGuangzhou 510630China Department of Clinical Research Center Dazhou Central HospitalDazhou 635099China Department of Bioinformatics and AI Bioland LaboratoryGuangzhou 510000China ABLINK Biotech Co. Chengdu 610000China Department of Applied Biology and Chemical Technology Hong Kong Polytechnic UniversityHung HomHong Kong 610051China Center for Stem Cell Biology and Tissue Engineering Key Laboratory for Stem Cells and Tissue EngineeringMinistry of EducationSun Yat-sen UniversityGuangzhou 510000China

To assess the impact of the key non-synonymous amino acid substitutions in the RBD of the spike protein of SARS-CoV-2 variant B.1.617.1(dominant variant identified in the current India outbreak)on the infectivity and neutralization activities of the immune sera,L452R and E484Q(L452R-E484Q variant),pseudotyped virus was constructed(with the D614G background).The impact on binding with the neutralizing antibodies was also assessed with an ELISA *** virus carrying a L452R-E484Q variant showed a comparable infectivity compared with ***,there was a significant reduction in the neutralization activity of the immune sera from non-human primates vaccinated with a recombinant receptor binding domain(RBD)protein,convalescent patients,and healthy vaccinees vaccinated with anmRNA *** addition,there was a reduction in binding of L452R-E484Q-D614G protein to the antibodies of theimmune sera fromvaccinated nonhuman *** results highlight the interplay between infectivity and other biologic factors involved in the natural evolution of *** neutralization activities against the L452R-E484Q variant will have an impact on health authority planning and implications for the vaccination strategy/newvaccine development.

关键词： SARS-CoV-2 COVID-19 B.1.617.1 L452R E484Q infectivity immune neutralization

Use of DNA metabarcoding of bird pellets in understanding raptor diet on the Qinghai-Tibetan Plateau of China

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Avian Research 2021年第3期12卷 296-306页

作者： charlotte E.Hacker Brandon D.Hoenig Liji Wu Wei Cong Jingjing Yu Yunchuan Dai Ye Li Jia Li Yadong Xue Yu zhang Yunrui Ji Hanning Cao Diqiang Li Yuguang zhang Jan E.Janecka Research Institute of Forest Ecology Environment and ProtectionChinese Academy of Forestryand Key Laboratory of Biodiversity Protection of National Forestry and Grassland AdministrationBeijing 100091China Department of Biological Sciences Duquesne UniversityPittsburghPA 15282USA Yanchiwan National Nature Reserve of Gansu Province Subei 736300China Institute for Ecology and Environmental Resources Chongqing Academy of Social SciencesChongqing 400020China The High School Affiliated to Renmin University of ChinaBeijing 100872China

Background:Diet analysis is essential to understanding the functional role of large bird species in food ***-phological analysis of regurgitated bird pellet contents is time intensive and may underestimate *** metabarcoding has the ability to circumvent these issues,but has yet to be ***:We present a pilot study using DNA metabarcoding of MT-RNR1 and MT-CO1 markers to determine the species of origin and prey of 45 pellets collected in Qinghai and Gansu Provinces,***:We detected four raptor species[Eurasian Eagle Owl(Bubo bubo),Saker Falcon(Falco cherrug),Steppe Eagle(Aquila nipalensis),and Upland Buzzard(Buteo hemilasius)]and 11 unique prey species across 10 families and 4 *** were the greatest detected prey class with Plateau Pika(Ochotona curzoniae)being the most *** Shannon’s and Simpson’s diversity for Upland Buzzard were 1.089 and 0.479,respectively,while expected values were 1.312±0.266 and 0.485±*** Eurasian Eagle Owl,observed values were 1.202 and 0.565,while expected values were 1.502±0.340 and 0.580±*** dietary niche partitioning between the two spe-cies was not ***:Our results demonstrate successful use of DNA metabarcoding for understanding diet via a novel noninvasive sample type to identify common and uncommon *** work is needed to understand how raptor diets vary locally,and the mechanisms that enable exploitation of similar dietary *** approach has wide ranging applicability to other birds of prey,and demonstrates the power of using DNA metabarcoding to study species noninvasively.

关键词： Avian Eurasian Eagle Owl Molecular diet analysis Next-generation sequencing Raptor Saker Falcon Steppe Eagle Upland Buzzard

Trends and characteristics of congenital ectopia lentis in China

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International Journal of Ophthalmology(English edition) 2018年第9期11卷 1545-1549页

作者： Guang-Ming Jin Min Fan Qian-Zhong Cao Jun-Xiong Lin Yi-Chi zhang Jian-Qiang Lin Yi-Yao Wang charlotte-Aimee Young Dan-Ying Zheng State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangzhou 510060Guangdong ProvinceChina The Third Affiliated Hospital of Sun Yat-sen University-Lingnan Hospital General Internal Medicine Guangzhou 510000Guangdong ProvinceChina Department of Ophthalmology Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene RegulationSun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510000Guangdong ProvinceChina Department of Ophthalmology University of CaliforniaSan FranciscoCA 94115United States

AIM： To elucidate the trends and characteristics of congenital ectopia lentis（CEL） in southern ***： CEL patients from China admitted to Zhongshan Ophthalmic Center（ZOC） from January 2006 to December 2015 were recruited in our study. Residence, gender, hospitalization time, age at surgery, and the presence of other ocular abnormalities and system disease were statistically analyzed in different ***： Four hundred and thirty-seven hospitalizations（306 in-patients） diagnosed with CEL from a total of 283 308 hospitalizations were identified, which accounted for 0.15% of the total in-patients. Of the identified CEL in-patients, the total ratio of boys to girls was 2.22：1. Based on a subgroup analysis according to age, patients aged 12-18 years old constituted the highest proportion（31.70%） of all hospitalized CEL patients, and those 0-3 year old constituted the lowest proportion（8.82%） of the total number. The number of CEL increased from 18 to 72 and the hospital based prevalence increased from 8.60% to 18.10% from 2006 to 2015, and the average age at surgery decreased from 9 years old in 2006 to 7.6 years old in 2015. CONCLUSION： The results reveal upward trends in both the number of CEL hospitalizations and hospital based prevalence of CEL in this 10-year study period, but a reduction in the age at surgery, which may reflect the increase of public awareness of children＇s eye care in China.

关键词： congenital ectopia lentis epidemiology characteristics China

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互惠合作系统的非对称性和不确定性

Journal of Plant Ecology 2024年第1期17卷 172-186页

作者： Rui-Wu Wang An-Na Shi Xiao-Wei zhang Min Liu K.charlotte Jandér Derek W.Dunn School of Ecology and Environment Northwestern Polytechnical UniversityXi’an 710072China Faculty of Education University of MalayaKuala Lumpur 50400Malaysia College of Life Sciences Shaanxi Normal UniversityXi’an 710119China Department of Organismic and Evolutionary Biology Harvard UniversityMA 02138USA College of Life Sciences Northwest UniversityXi’an 710069China

过去的几十年里,尽管对互惠合作系统稳定性的理解取得了较大的进展,但在解释互惠关系如何保持稳定方面仍然存在两个基本问题。(i)如何解决互惠合作双方之间的资源冲突?(ii)当存在不怎么合作和/或完全不合作的共生体时,为什么合作的共生... 详细信息

过去的几十年里,尽管对互惠合作系统稳定性的理解取得了较大的进展,但在解释互惠关系如何保持稳定方面仍然存在两个基本问题。(i)如何解决互惠合作双方之间的资源冲突?(ii)当存在不怎么合作和/或完全不合作的共生体时,为什么合作的共生体没有被不合作的个体竞争排斥掉?过去许多关于互惠稳定性的解释都假设互惠合作双方的相互作用是对称的。然而,在大多数共生关系中,宿主和共生体之间的相互作用在不同水平上表现出不同程度的非对称性。本文我们回顾了互惠合作系统中的三种主要的非对称相互作用:(i)收益非对称,也就是合作双方的实力非对称性;(ii)潜在进化速率非对称性;(iii)宿主和共生体之间的信息非对称性。我们认为,互惠合作系统非对称性有助于解释合作和冲突行为的不确定性(合作与竞争的内生不确定性),以及为什么宿主和共生体都呈现出多样化的表型特征,而合作仍可占主导地位。

关键词：互利共生不对称相互作用宿主惩罚进化速率欺骗