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Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990-2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021

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LANCET INFECTIOUS DISEASES 2025年第5期25卷 519-536页

作者： Kyu, Hmwe Hmwe Vongpradith, Avina Dominguez, Regina-Mae Villanueva Ma, Jianing Albertson, Samuel B. Novotney, Amanda Khalil, Ibrahim A. Troeger, Christopher E. Doxey, Matthew C. Ledesma, Jorge R. Sirota, Sarah Brooke Bender, Rose Grace Swetschinski, Lucien R. Cunningham, Matthew Spearman, Sandra Abate, Yohannes Habtegiorgis Abd Al Magied, Abdallah H. A. Abd ElHafeez, Samar Abdoun, Meriem Abera, Bayeh Abidi, Hassan Aboagye, Richard Gyan Abtew, Yonas Derso Abualruz, Hasan Abu-Gharbieh, Eman Abukhadijah, Hana J. Aburuz, Salahdein Addo, Isaac Yeboah Adekanmbi, Victor Adetunji, Charles Oluwaseun Oluwaseun Adeyeoluwa, Temitayo Esther Adhikary, Ripon Kumar Adnani, Qorinah Estiningtyas Sakilah Adra, Saryia Adzigbli, Leticia Akua Afolabi, Aanuoluwapo Adeyimika Afzal, Muhammad Sohail Afzal, Saira Agampodi, Suneth Buddhika Agide, Feleke Doyore Ahinkorah, Bright Opoku Ahmad, Aqeel Ahmad, Sajjad Ahmed, Ali Ahmed, Ayman Ahmed, Haroon Ahmed, Saeed Akinosoglou, Karolina Akter, Ema Al Awaidy, Salah Alajlani, Muaaz M. Alam, Khurshid Albakri, Almaza Albashtawy, Mohammed Aldhaleei, Wafa A. Algammal, Abdelazeem M. Al-Gheethi, Adel Ali Saeed Ali, Abid Syed Shujait Ali Ali, Waad Alif, Sheikh Mohammad Aljunid, Syed Mohamed Al-Marwani, Sabah Almazan, Joseph Uy Al-Mekhlafi, Hesham M. Almustanyir, Sami Alqahatni, Saleh A. Alrawashdeh, Ahmad Al-Rifai, Rami H. Alsabri, Mohammed A. Altaf, Awais Altirkawi, Khalid A. Alvis-Guzman, Nelson Alvis-Zakzuk, Nelson J. Alyahya, Mohammad Sharif Ibrahim Al-Zyoud, Walid A. Amugsi, Dickson A. Andrei, Catalina Liliana Antoni, Sebastien Anuoluwa, Boluwatife Stephen Anuoluwa, Iyadunni Adesola Anwari, Saleha Anwar Palwasha Apostol, Geminn Louis Carace Arabloo, Jalal Arafat, Mosab Aravkin, Aleksandr Y. Areda, Demelash Aregawi, Brhane Berhe Aremu, Abdulfatai Arndt, Michael Benjamin Asgedom, Akeza Awealom Ashraf, Tahira Athari, Seyyed Shamsadin Atreya, Alok Ayele, Firayad Azadi, Davood Azhar, Gulrez Shah Aziz, Shahkaar Azzam, Ahmed Y. Babu, Giridhara Rathnaiah Taghanaki, Pegah Bahrami Bahramian, Saeed Balakrishna Department of Health Metrics Sciences School of Medicine Institute for Health Metrics and Evaluation University of Washington Seattle 98195 WA United States Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Center for Biostatistics Ohio State University Columbus OH United States Department of Global Health University of Washington Seattle WA United States Urban Indian Health Institute Seattle Indian Health Board Seattle WA United States School of Medicine Yale University New Haven CT United States Department of Clinical Governance and Quality Improvement Aleta Wondo General Hospital Aleta Wondo Ethiopia College of Pharmacy Ajman University Ajman United Arab Emirates Department of Epidemiology Alexandria University Alexandria Egypt Department of Medicine University of Sétif Algeria Sétif Algeria Department of Health Sétif Algeria Department of Medical Microbiology Bahir Dar University Bahir Dar Ethiopia Department of Biology Ghent University Ghent Belgium Laboratory Technology Sciences Department Yasuj University of Medical Sciences Yasuj Iran Department of Family and Community Health University of Health and Allied Sciences Ho Ghana Department of Biomedical Science Arba Minch University Arba Minch Ethiopia Department of Nursing Al Zaytoonah University of Jordan Amman Jordan Amman Jordan Department of Clinical Sciences Sharjah United Arab Emirates Department of Biopharmaceutics and Clinical Pharmacy University of Jordan Amman Jordan Medical Research Center-Academic Health System Hamad Medical Corporation Doha Qatar College of Pharmacy University of Jordan Amman Jordan Department of Therapeutics United Arab Emirates University Al Ain United Arab Emirates School of Medicine University of Sydney Sydney NSW Australia Centre for Social Research in Health University of New South Wales Syd

Background Diarrhoeal diseases claim more than 1 million lives annually and are a leading cause of death in children younger than 5 years. Comprehensive global estimates of the diarrhoeal disease burden for specific age groups of children younger than 5 years are scarce, and the burden in children older than 5 years and in adults is also understudied. We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021 to assess the burden of, and trends in, diarrhoeal diseases overall and attributable to 13 pathogens, as well as the contributions of associated risk factors, in children and adults in 204 countries and territories from 1990 to 2021. Methods We used the Cause of Death Ensemble modelling strategy to analyse vital registration data, verbal autopsy data, mortality surveillance data, and minimally invasive tissue sampling data. We used DisMod-MR (version 2.1), a Bayesian meta-regression tool, to analyse incidence and prevalence data identified via systematic reviews, population-based surveys, and claims and inpatient data. We calculated diarrhoeal disability-adjusted life-years (DALYs) as the sum of years of life lost (YLLs) and years lived with disability (YLDs) for each location, year, and age-sex group. For aetiology estimation, we used a counterfactual approach to quantify population-attributable fractions (PAFs). Additionally, we estimated the diarrhoeal disease burden attributable to the independent effects of risk factors using the comparative risk assessment framework. Findings In 2021, diarrhoeal diseases caused an estimated 1.17 million (95% uncertainty interval 0.793-1.62) deaths globally, representing a 60.3% (50.6-69.0) decrease since 1990 (2.93 million [2.31-3.73] deaths). The most pronounced decline was in children younger than 5 years, with a 79.2% (72.4-84.6) decrease in diarrhoeal deaths. Global YLLs also decreased substantially, from 186 million (147-221) in 1990 to 51.4 million (39.9-65.9) in 2021. In 2021, an esti

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A Novel Two-Stage Framework for 2D/3D Registration in Neurological Interventions

A Novel Two-Stage Framework for 2D/3D Registration in Neurol...

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IEEE International Conference on Robotics and Biomimetics

作者： De-Xing Huang Xiao-Hu Zhou Xiao-Liang Xie Shi-Qi Liu Zhen-Qiu Feng Jian-Long Hao Zeng-Guang Hou Ning Ma Long Yan The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China The School of Information Shanxi University of Finance and Economics Taiyuan China The CAS Center for Excellence in Brain Science and Intelligence Technology Beijing China The Joint Laboratory of Intelligence Science and Technology Institute of Systems Engineering Macau University of Science and Technology Taipa Macau The Department of Interventional Neuroradiology Beijing Tiantan Hospital Capital Medical University Beijing China

ISBN: (纸本)9781665481106

2D/3D medical image registration of pre-operative volumes and intra-operative images plays an important role in neurological interventions. However, vast space of transformation parameters makes this task incredibly challenging. In this paper, a novel two-stage framework for 2D/3D registration is proposed. It consists of two basic modules: CNN regression for preliminarily estimating transformation parameters, and centroid alignment for further reducing estimation errors to get refined images. Experimental results on two patients show the proposed framework can achieve superior performances to baseline methods with an inference rate of 22 FPS, satisfying real-time requirements (6~12 FPS) in clinical practice. Extensive ablation studies prove the effectiveness of centroid alignment in significantly improving registration accuracies. These promising results indicate the framework has the potential to be integrated into navigation frameworks for neurological interventions, facilitating treatments of physicians.

关键词： Image registration Estimation error Three-dimensional displays Navigation Biomimetics medical services Real-time systems

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Robust Fe divalent state in one-unit-cell FeSe/SrTiO3 thin films

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Physical Review B 2022年第24期106卷 245112-245112页

作者： Jingdong Shen Wenxiang Jiang Fengfeng Zhu Guan-yong Wang Huayao Li Gan Zhao Qian Li Wensheng Yan Wanli Yang Yi-De Chuang Jin-feng Jia Dong Qian L. Andrew Wray Lin Miao School of Physics Southeast University Nanjing 211189 China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei 230029 China Advanced Light Source Lawrence Berkeley National Laboratory Berkeley California 94720 USA Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) Shenyang National Laboratory for Materials Science School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China Department of Physics New York University New York New York 10003 USA

The orbital occupancy, as the origin of Hund's rule coupling, provides critical information in understanding the multiorbital iron-based superconductors. The one-unit-cell (1UC) FeSe thin film on a SrTiO3 substrate with superconductive Tc above 60 K has been reported with unique electronic structures as well as orbital occupancy. In this paper, we present the x-ray absorption spectroscopy and resonant inelastic x-ray scattering (RIXS) study of the FeSe/STO thin films of different thicknesses. Together with the atomic multiplet simulation analysis, the FeSe/STO thin films (from 1UC to 10UC) are shown with the pure 3d6 electronic configuration which is identical to the bulk FeSe. Moreover, 1UC FeSe/STO is found to be distinctively more persistent in hosting the 3d6 configuration other than the thicker films under the oxidization process. The robustness of the 3d6 in 1UC FeSe/STO is discussed as a result of charge transfer from the substrate, as well as a mechanism to maintain the high-Tc superconductivity. Finally, our research calls for a further high-resolution RIXS study of the pristine superconductive 1UC FeSe/STO thin film.

关键词： Iron-based superconductors Molecular beam epitaxy X-ray absorption spectroscopy

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Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers

arXiv

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arXiv 2021年

作者： Liu, Wanli Li, Chen Rahaman, Md Mamunur Jiang, Tao Sun, Hongzan Wu, Xiangchen Hu, Weiming Chen, Haoyuan Sun, Changhao Yao, Yudong Grzegorzek, Marcin Microscopic Image and Medical Image Analysis Group College of Medicine and Biological Information Engineering Northeastern University Shenyang110169 China School of Control Engineering Chengdu University of Information Technology Chengdu610225 China Shengjing Hospital China Medical University Shenyang110001 China Suzhou Ruiguan Technology Company Ltd. Suzhou215000 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110169 China Department of Electrical and Computer Engineering Stevens Institute of Technology HobokenNJ07030 United States Institute of Medical Informatics University of Luebeck Luebeck Germany

Cervical cancer is a very common and fatal type of cancer in women. Cytopathology images are often used to screen for this cancer. Given that there is a possibility that many errors can occur during manual screening, a computer-aided diagnosis system based on deep learning has been developed. Deep learning methods require a fixed dimension of input images, but the dimensions of clinical medical images are inconsistent. The aspect ratios of the images suffer while resizing them directly. Clinically, the aspect ratios of cells inside cytopathological images provide important information for doctors to diagnose cancer. Therefore, it is difficult to resize directly. However, many existing studies have resized the images directly and have obtained highly robust classification results. To determine a reasonable interpretation, we have conducted a series of comparative experiments. First, the raw data of the SIPaKMeD dataset are pre-processed to obtain standard and scaled datasets. Then, the datasets are resized to 224 × 224 pixels. Finally, 22 deep learning models are used to classify the standard and scaled datasets. The results of the study indicate that deep learning models are robust to changes in the aspect ratio of cells in cervical cytopathological images. This conclusion is also validated via the Herlev dataset. Copyright © 2021, The Authors. All rights reserved.

关键词： Aspect ratio

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InP/ZnS core/shell quantum dots: Synthesis, characterization and their application in fullerene derivative based flexible solar cells

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Results in Physics 2025年 69卷

作者： Zhichu, Chen Tahir, Muhammad Muhammad, Fida Aziz, Fakhra Ayub, Ambreen Badshah, Fazal Refat, Moamen S. Cakmak, Sadiye M. Rehan, Shanza Adam, Abdel Majid A. Alsuhaibani, Amnah Mohammed Ayob, Afida Sarker, Mahidur R Khan, Adam School of Electrical and Information Engineering Hubei University of Automotive Technology Shiyan 442002 China Semiconductor Physics & Devices Laboratory Department of Physics Faculty of Physical and Numerical Sciences Abdul Wali Khan University Mardan 23200 Pakistan Department of Electronics University of Peshawar KP Pakistan Department of Physics Women University Mardan KP 23200 Pakistan Department of Chemistry College of Science Taif University P.O. Box 11099 Taif 21944 Saudi Arabia Program of Medical Monitoring Techniques Osmangazi University Eskisehir Eskisehir 26040 Turkey Faculty of Materials and Chemical Engineering GIK Institute of Engineering Sciences and Technology Topi 23640 Pakistan Department of Physical Sport Sciences College of Sport Sciences & Physical Activity Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Centre for Integrated Systems Engineering and Advanced Technologies (INTEGRA) Department of Electrical Electronic and Systems Engineering Universiti Kebangsaan Malaysia Bangi 43600 Malaysia Institute of Visual Informatics Universiti Kebangsaan Selangor Malaysia Bangi 43600 Malaysia Universidad de Diseno Innovacion y Tecnología UDIT Av. Alfonso XIII 97 Madrid 28016 Spain Department of Electronics Engineering University of Engineering & Technology Peshawar (Abbottabad Campus) Abbottabad Pakistan

Herein, we report on the synthesis and characterization of p-type semiconductor indium phosphide/zinc sulphide (InP/ZnS) core/shell quantum dots (QDs) prepared via a simple solvothermal method and their potential application in bulk heterojunction (BHJ) flexible solar cell (SC). The BHJ SC composed of donor–acceptor (D-A) configuration at nanoscale provides larger interfacial junction area throughout the bulk volume of the photo-absorber D-A blend that facilitates excitons to efficiently dissociate within the bulk layer at D-A interface. Hence, InP/ZnS core–shell QDs and a fullerene derivative – phenyl C61 butyric acid methyl ester (PCBM) – are used as hybrid inorganic–organic D-A materials, respectively, to fabricate Ag/LiF/InP/ZnS-PCBM/P3HT/ITO/PET BHJ flexible SC. Indium tin oxide (ITO) coated on polyethylene terephthalate (PET), poly(3-hexylthiophene) (P3HT), lithium fluoride (LiF) and silver (Ag) are employed as a flexible substrate, hole transport layer (HTL), electron transport layer (ETL) and counter electrode, respectively. Photovoltaic (PV) properties of the fabricated BHJ flexible SC are studied under standard testing conditions (STC) i.e., 25 ⁰C, 1.5 AM global and 100 mW/cm² irradiation, which exhibit fill factor (FF) of 59 ± 0.02 % and power conversion efficiency (PCE) of 4.22 ± 0.05 %. Also, the heterojunction characteristics are investigated in dark condition (0 lx) to find series resistance (R_s), ideality factor (n), and reverse saturation current (I₀). X-ray diffraction (XRD), atomic force microscopy (AFM), scanning electron microscopy (SEM) and ultraviolet–visible (UV–vis) spectroscopy are performed to further investigate the properties of InP/ZnS-PCBM thin films. Transmission electron microscopy (TEM) image of InP/ZnS core/shell QDs confirmed the successful synthesis of QDs having an average size of 5 ± 1 nm. The InP/ZnS-PCBM D-A photo-absorber layer reveals its potential as one of good candidates for hi

关键词： Flexible solar cell Hybrid bulk heterojunction (BHJ) InP/ZnS core/shell QDs Power conversion efficiency (PCE) Quantum dots (QDs) synthesis

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GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges

arXiv

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arXiv 2022年

作者： Wu, Junde Fang, Huihui Li, Fei Fu, Huazhu Lin, Fengbin Li, Jiongcheng Huang, Yue Yu, Qinji Song, Sifan Xu, Xinxing Xu, Yanyu Wang, Wensai Wang, Lingxiao Lu, Shuai Li, Huiqi Huang, Shihua Lu, Zhichao Ou, Chubin Wei, Xifei Liu, Bingyuan Kobbi, Riadh Tang, Xiaoying Lin, Li Zhou, Qiang Hu, Qiang Bogunović, Hrvoje Orlando, José Ignacio Zhang, Xiulan Xu, Yanwu State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science Guangzhou China Intelligent Healthcare Unit Baidu Inc. Beijing China Singapore School of Informatics Xiamen University Xiamen China Shanghai Jiao Tong University Shanghai China Xi'an Jiaotong-Liverpool University Suzhou China Institute of High Performance Computing A*STAR Singapore Institute of Biomedical Engineering Chinese Academy of Medical Sciences Peking Union Medical College Tianjin China School of Medical Technology Beijing Institute of Technology Beijing China Department of Computing Hong Kong Polytechnic University Hong Kong Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Weizhi Medical Technology Company Suzhou China École de Technologie Supérieure Montreal Montreal Canada DIAGNOS Inc. Quebec Canada Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen China Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Technology Co. Ltd. Shanghai China School of Information and Electronics Beijing Institute of Technology Beijing China Christian Doppler Lab for Artificial Intelligence in Retina Department of Ophthalmology Medical University of Vienna Austria Yatiris Group PLADEMA Institute CONICET UNICEN Tandil Argentina

Glaucoma is a chronic neuro-degenerative condition that is one of the world's leading causes of irreversible but preventable blindness. The blindness is generally caused by the lack of timely detection and treatment. Early screening is thus essential for early treatment to preserve vision and maintain life quality. Color fundus photography and Optical Coherence Tomography (OCT) are the two most cost-effective tools for glaucoma screening. Both imaging modalities have prominent biomarkers to indicate glaucoma suspects, such as the vertical cup-to-disc ratio (vCDR) on fundus images and retinal nerve fiber layer (RNFL) thickness on OCT volume. In clinical practice, it is often recommended to take both of the screenings for a more accurate and reliable diagnosis. However, although numerous algorithms are proposed based on fundus images or OCT volumes for the automated glaucoma detection, there are few methods that leverage both of the modalities to achieve the target. To fulfill the research gap, we set up the Glaucoma grAding from Multi-Modality imAges (GAMMA) Challenge to encourage the development of fundus & OCT-based glaucoma grading. The primary task of the challenge is to grade glaucoma from both the 2D fundus images and 3D OCT scanning volumes. As part of GAMMA, we have publicly released a glaucoma annotated dataset with both 2D fundus color photography and 3D OCT volumes, which is the first multi-modality dataset for machine learning based glaucoma grading. In addition, an evaluation framework is also established to evaluate the performance of the submitted methods. During the challenge, 1272 results were submitted, and finally, ten best performing teams were selected for the final stage. We analyze their results and summarize their methods in the paper. Since all the teams submitted their source code in the challenge, we conducted a detailed ablation study to verify the effectiveness of the particular modules proposed. Finally, we identify the proposed techniqu

关键词： Grading

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Associations of long-term exposure to fine particulate matter and its constituents with gynecologic cancer incidence:A prospective cohort study from Beijing

Medicine Plus

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Medicine Plus 2024年第4期1卷 41-51页

作者： Jinting Guo Lei Yang Ning Kang Ning Wang Xi Zhang Shuo Liu Huichao Li Lili Cao Min Gao Tao Xue Tong Zhu Jiafu Ji Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics/Ministry of Education Key Laboratory of Epidemiology of Major Diseases(PKU) School of Public HealthPeking University Health Science CentreBeijing 100191China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Beijing Office for Cancer Prevention and ControlPeking University Cancer Hospital and InstituteBeijing 100142China Peking University Cancer Hospital(Inner Mongolia Campus)/Affiliated Cancer Hospital of Inner Mongolia Medical University Inner Mongolia Cancer CenterHohhot 010020China Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Department of Gynecologic OncologyPeking University Cancer Hospital and InstituteBeijing 100142China Advanced Institute of Information Technology Peking UniversityHangzhou 311215China State Environmental Protection Key Laboratory of Atmospheric Exposure and Health Risk Management Center for Environment and HealthPeking UniversityBeijing 100871China College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers Beijing Key Laboratory of Carcinogenesis and Translational ResearchGastrointestinal Cancer CenterPeking University Cancer Hospital and InstituteBeijing 100142China

Background:There is limited evidence of the association between long-term exposure to particulate matter with aerodynamic diameter≤2.5μm (fine particulate matter,PM_(2.5)) and gynecologic cancer incidence,particularly in developing countries with high air pollution *** present study aimed to investigate the associations of long-term exposure to PM_(2.5)and its constituents with the incidence of gynecologic cancer,and to identify the primary ***:A total of 85,500 women from the National Urban Cancer Screening Program in Beijing (2013-2019) were included.5-year average concentrations of PM_(2.5)mass and its constituents,namely carbon black (BC),ammonium (NH_(4)^(+)),nitrate (NO_(3)^(-)),organic matter (OM),and sulfate (SO_(4)^(2-)),were obtained from the Tracking Air Pollution in China (TAP) *** proportional hazard models were used to analyze the association between long-term exposure to PM_(2.5)and its constituents and gynecologic cancer *** exposure models,including quantile-based gcomputation (Qgcomp) and explanatory machine learning model (SHapley Additive exPlanations,SHAP),were used to assess the effect of each ***:During a mean follow-up of 6.22 years,524 participants were diagnosed with gynecologic *** adjusted hazard ratios (HRs) for gynecologic cancer incidence associated with 1 standard deviation (SD) increment was 1.10 (95%CI:1.00-1.22) for PM_(2.5),1.12 (95%CI:1.01-1.23) for BC,1.11 (95%CI:1.00-1.23) for NH_(4)^(+),1.12 (95%CI:1.01-1.23) for OM,1.12 (95%CI:1.01-1.23) for SO_(4)^(2-),and1.08 (95%CI:0.98-1.19) for NO_(3)^(-).The Qgcomp model indicated the association between a mixture of PM_(2.5)constituents and gynecologic cancer incidence,with the weights assigned to BC (61.6%),SO_(4)^(2-)(35.9%),and NO_(3)^(-)(2.5%) in the positive *** SHAP model showed that SO_(4)^(2-)was the most important constituent,with the mean|SHAP|value of 0.0322,followed by BC (0.0270),OM (0.0232),NO_(

关键词： Ambient air pollution PM_(2.5)constituents Gynecologic cancer Mixture exposure Cohort study

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Research progress and prospects of experimental murine behavior evaluation methods

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Medicine in Novel technology and Devices 2025年 27卷

作者： Chen Du Ying Wang Ziyi Li Ziyan Wu Dingyuan Liang Yuliang Zhao Jin Zhou Yubo Fan Key Laboratory of Biomechanics and Mechanobiology (Beihang University) Ministry of Education Key Laboratory of Innovation and Transformation of Advanced Medical Devices Ministry of Industry and Information Technology National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering) School of Biological Science and Medical Engineering Beihang University 100191 Beijing China Department of Mechanical Engineering City University of Hong Kong 999077 Hong Kong Special Administrative Region of China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao 066004 Hebei China

Experimental murine behaviors, including communication, emotional expression, social interaction, learning, and reproduction, play a critical role in various research fields such as genetics, neuroscience, and non-neuroscience disciplines. The growing demand for murine behavior research has driven the development of diverse evaluation methods. Current evaluation techniques include assessments based on ordinary or high-speed cameras, active depth sensors, inertial sensors, optical pressure plates, electromyography, and two-photon fluorescence microscopy. Each method has its unique advantages and limitations depending on the experimental context. Therefore, selecting an appropriate evaluation method tailored to specific experimental requirements is crucial for obtaining accurate and meaningful results. This review summarizes the advancements in experimental murine behavior evaluation methods over the past decade, providing a comprehensive overview of their applications and contributions to behavioral research.

关键词： Murine behaviors Behavioral tracking Behavior evaluation method Technological advancements

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The role of bone marrow-derived cells in the origin of liver cancer revealed by single-cell sequencing

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Cancer Biology & Medicine 2020年第1期17卷 142-153页

作者： Lu Chen Xianfu Yi Piao Guo Hua Guo Ziye Chen Chunyu Hou Lisha Qi Yongrong Wang Chengwen Li Peng Liu Yucun Liu Yuanfu Xu Ning Zhang The concrete information of affiliations should be presented for instanceDepartment of Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for CancerKey Laboratory of Cancer Prevention and TherapyTianjin's Clinical Research Center for CancerTianjin 300070China School of Biomedical Engineering and Technology Tianjin Medical UniversityTianjin 300070China The Center for Translational Cancer Research Peking University First HospitalBeijing 100034China State Key Laboratory of Experimental Hematology National Clinical Research Center for Blood DiseasesInstitute of Hematology&Blood Diseases HospitalChinese Academy of Medical Sciences&Peking Union Medical CollegeTianjin 300020China CAMS Key Laboratory for Prevention and Control of Hematological Disease Treatment Related Infection Tianjin 300020China Cytogenetics Laboratory Institute of Hematology and Blood Diseases HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeTianjin 300020China

Objective:Epithelial cancers often originate from progenitor cells,while the origin of hepatocellular carcinoma(HCC)is still ***,one of the deadliest cancers,is closely linked with liver injuries and chronic inflammation,which trigger massive infiltration of bone marrow-derived cells(BMDCs)during liver ***:To address the possible roles of BMDCs in HCC origination,we established a diethylnitrosamine(DEN)-induced HCC model in bone marrow transplanted *** and frozen tissue immunofluorescence were used to verify DENinduced HCC in the pathology of the *** cellular origin of DEN-induced HCC was further studied by single cell sequencing,single-cell nested PCR,and immunofluorescence-fluorescence in situ ***:Studies by using single cell sequencing and biochemical analysis revealed that HCC cells in these mice were coming from donor mice BMDCs,and not from recipient ***,the copy numbers of mouse orthologs of several HCC-related genes previously reported in human HCC were also altered in our mouse ***-induced HCCs exhibited a similar histological phenotype and genomic profile as human ***:These results suggested that BMDCs are an important origin of HCC,which provide important clues to HCC prevention,detection,and treatments.

关键词： Hepatocellular carcinoma bone marrow-derived cells(BMDCs) origination genome sequencing copy number alteration

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Deeply-Dyed Nanobead System for Rapid Lateral Flow Assay Testing of Drugs at Point-of-Care

SSRN

引用

SSRN 2022年

作者： Fan, Lingzhi Wu, Jianbing Yang, Jing Li, Fugang Yan, Wannian Tan, Fei Zhang, Madeline Draz, Mohamed S. Han, Huanxing Zhang, Pengfei Department of Central Laboratory Shanghai Skin Disease Hospital School of Medicine Tongji University Shanghai200443 China Key Laboratory of Drug Preventation and Control Technology of Zhejiang Province Zhejiang Police College Hangzhou China Key Laboratory of Biomedical Information Engineering of Ministry of Education School of Life Science and Technology Xi’an Jiaotong University Xi’an710049 China Shanghai Upper Biotech Co Ltd Shanghai201201 China Department of Medicine Case Western Reserve University School of Medicine ClevelandOH44106 United States Department of Chemistry and Chemical Biology Harvard University CambridgeMA United States Department of Pharmacy Changzheng Hospital the Second Military Medical University Shanghai200433 China

Point-of-care test (POCT) allows for rapid and sensitive screening of drugs of abuse. However, traditional gold nanoparticle-based lateral flow immunoassay strip is not sensitive enough for detection of trace drugs in hair samples. Herein, we aimed to develop a more specific system using a composite polymer nanobead that is deeply dyed with oil soluble dyes, and termed as deeply dyed nanobead (DDNB). The prepared composite nanobeads displayed a clear core-shell structure and the core/shell ratios were readily controlled by polymer/dye feeding ratios. The absorbance stable nanobeads capped with carboxyl groups were covalently conjugated with antibodies, and were employed for preparation of lateral flow immunoassay strips for sensitive detection of drugs in hair with naked eye. The developed drug strips allow the detection of drugs such as morphine and methamphetamine in hair samples within 13 min (including hair sample processing ~5 min). The cut-off value of DDNB strip for methamphetamine detection with naked eye is down to concentration of 8.0 ng/mL, which is about 3.1 times more sensitive than the traditional gold nanoparticles based lateral flow immunoassay. Moreover, the colorful DDNB system has the potential for multiplexing detection of analytes at point-of-care settings and low cost. © 2022, The Authors. All rights reserved.

关键词： Metal nanoparticles

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