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Medicine Advances 2023年第1期1卷

作者： Lingyan Dai Juncheng Zhuang Li Fan Xia Zou Kei Hang Katie Chan Xueqing Yu Jie Li Global Health Research Center Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences Southern Medical University Guangzhou China Contribution: Conceptualization (equal) Data curation (lead) Formal analysis (lead) Methodology (equal) Software (equal) Validation (equal) Visualization (equal) Writing - original draft (equal) Writing - review & editing (equal) Faculty of Medicine Macau University of Science and Technology Macau China Contribution: Conceptualization (equal) Data curation (supporting) Investigation (equal) Project administration (equal) Resources (equal) Visualization (supporting) Writing - original draft (lead) Writing - review & editing (equal) Department of Nephrology Guangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences Guangzhou China Contribution: Methodology (supporting) Writing - review & editing (supporting) Departments of Biomedical Sciences and Electrical Engineering City University of Hong Kong Hong Kong SAR China Contribution: Writing - review & editing (supporting) Jie Li Global Health Research Center Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China. Contribution: Conceptualization (equal) Funding acquisition (equal) Investigation (equal) Resources (equal) Writing - review & editing (equal) School of Public Health Southern Medical University Guangzhou China School of Medicine South China University of Technology Guangzhou China Department of Epidemiology and Center for Global Cardiometabolic Health School of Public Health Brown University Providence Rhode Island USA Xueqing Yu Department of Nephrology Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China. Contribution: Conceptualization (lead) Data curation (equal) Formal analysis (equal) Investigation (equal) Project administration (

Background The sex-specific associations between birth weight and the risk of chronic kidney disease (CKD) later in life remain controversial. This study aimed to examine the shape of the relationship between birth weight and the risk of CKD in men and women. Methods A total of 277,252 participants free of CKD at baseline from the United Kingdom Biobank (UKB) prospective cohort were included in the analysis. Cox proportional hazard regression model was used to estimate the association between birth weight and the risk of incident CKD with adjustment for potential confounders. Results During a median follow-up of 11.9 years, we identified 13,030 (4.7%) CKD cases. Compared with normal birth weight (2.5–4.0 kg), low birth weight (LBW, <2.5 kg) was associated with an 11% higher risk of CKD in men (adjusted hazard ratio [HR]: 1.11 [95% CI 1.01–1.21]) and a 27% higher risk of CKD in women (HR: 1.27 [1.19–1.36]) ( p for interaction = 0.02). High birth weight (HBW, >4.0 kg) was associated with an 11% lower risk of CKD (HR: 0.89 [0.83–0.95]) in men but not in women (HR: 0.96 [0.89–1.04]) ( p for interaction = 0.13). Furthermore, the LBW-CKD association was stronger in obese (HR: 1.28 [1.18–1.39]) than in nonobese participants (HR: 1.16 [1.09–1.24], p for interaction = 0.03). Conclusions We found an L-shaped relationship between birth weight and the risk of CKD in women but a linear shape in men. The LBW-CKD association was mitigated to some extent by maintaining healthy body weight in adulthood. Our findings support the notion that the CKD risk should be managed from a lifecycle perspective.

关键词： birth weight chronic kidney dieases cohort study

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Soil fungal and bacterial communities are altered by the incorporation of leaf litter containing a fungal endophyte

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European Journal of Soil science 2022年第3期73卷

作者： Yuanyuan Jin Xuekai Wei James F. White Taixiang Chen Xiuzhang Li Zhenjiang Chen Chunjie Li State Key Laboratory of Grassland Agro-ecosystems Lanzhou University Lanzhou China Key Laboratory of Grassland Livestock Industry Innovation Ministry of Agriculture and Rural Affairs Lanzhou China Engineering Research Center of Grassland Industry Ministry of Education Lanzhou China Gansu Tech Innovation Centre of Western China Grassland Industry Lanzhou China Centre for Grassland Microbiome Lanzhou University Lanzhou China College of Pastoral Agriculture Science and Technology Lanzhou University Lanzhou China Contribution: Conceptualization (lead) Data curation (equal) Formal analysis (equal) Investigation (equal) Methodology (equal) Software (equal) Visualization (equal) Writing - original draft (equal) Contribution: Data curation (equal) Formal analysis (equal) Methodology (equal) Resources (equal) Software (equal) Writing - original draft (equal) Department of Plant Biology Rutgers University New Brunswick New Jersey USA Contribution: Funding acquisition (supporting) Validation (supporting) Writing - review & editing (lead) Contribution: Software (supporting) Writing - review & editing (supporting) Qinghai Academy of Animal and Veterinary Science Qinghai University Xining China Contribution: Methodology (supporting) Visualization (supporting) Writing - review & editing (equal) Contribution: Funding acquisition (supporting) Project administration (supporting) Writing - review & editing (supporting) Contribution: Funding acquisition (lead) Project administration (lead) Resources (supporting) Writing - review & editing (lead)

Litter decomposition plays a key role in nutrient cycling across ecosystems. The presence of Epichloë endophytes in grass plants affects litter decomposition. The overall effects of leaf litter containing Epichloë endophytes on the chemical and biological properties in non-rhizosphere soils have not previously been examined. The current study is aimed to understand the effect of direct incorporation of leaf litter from Epichloë endophyte-infected perennial ryegrass ( Lolium perenne ) on soil chemical characteristics, and fungal and bacterial biodiversity. Firstly, fresh leaf litter of the endophyte Epichloë festucae var. lolii -infected (E+) and endophyte-free (E−) L. perenne were incorporated into the soil, and then samples were collected from E+ and E− litter incorporated soil at T 0 , T 1 , T 2 and T 3 (0, 120, 240 and 360 days) for chemical and sequencing analyses. The Epichloë -containing leaf litter incorporation changed the soil microbial environment by enhancing the soil organic carbon (SOC), total nitrogen (TN), total phosphorus, NH 4 + –N and NO 3 − –N contents, and acidifying soil pH. The endophyte had stronger effects on soil bacteria than soil fungi when the litter was determined with and without the endophyte. Litter containing the Epichloë endophyte significantly increased the absolute abundance of the 16S rRNA gene and relative abundances of the Actinobacteria, Nitrospirae and Gemmatimonadetes, while significantly decreasing the relative abundances of the Planctomycetes and Rokubacteria and the diversity in soil bacteria community. There was no significant effect of endophyte-containing leaf litter incorporation on the absolute abundance and diversity of the soil fungal community except the increment in the relative abundance of Rozellomycota. Soil pH and the SOC-to-TN ratio (C:N) were the main factors influencing the soil bacterial community, and the presence of E. festucae var. lolii was directly and positively related to the soil bacterial diversi

关键词： amplicon sequencing Epichloë festucae var lolii litter incorporation Lolium perenne soil fungi and bacteria

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Inferring the population history of Kyrgyz in Xinjiang, Northwest China from genome-wide array genotyping

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American Journal of Biological Anthropology 2023年第4期181卷

作者： Bubibatima Halili Xiaomin Yang Rui Wang Kongyang Zhu Xiangjun Hai Chuan-Chao Wang Department of Anthropology and Ethnology Institute of Anthropology School of Sociology and Anthropology Xiamen University Xiamen China Contribution: Conceptualization (equal) Resources (lead) Xiangjun Hai State Key Laboratory of Cellular Stress Biology School of Life Sciences Xiamen University Xiamen 361102 China. Contribution: Conceptualization (equal) Data curation (lead) Formal analysis (lead) Visualization (lead) Writing - original draft (lead) State Key Laboratory of Cellular Stress Biology School of Life Sciences Xiamen University Xiamen China Contribution: Data curation (equal) Formal analysis (equal) Key Laboratory of Environmental Ecology and Population Health in Northwest Minority Areas Northwest Minzu University Lanzhou China Xiaomin Yang and Chuan-Chao Wang Department of Anthropology and Ethnology Institute of Anthropology School of Sociology and Anthropology Xiamen University 361005 Xiamen China. Contribution: Conceptualization (equal) Resources (equal) State Key Laboratory of Marine Environmental Science Xiamen University Xiamen China Institute of Artificial Intelligence Xiamen University Xiamen China Ministry of Education Key Laboratory of Contemporary Anthropology Department of Anthropology and Human Genetics School of Life Sciences Fudan University Shanghai China Contribution: Conceptualization (lead) Project administration (lead) Supervision (lead) Writing - review & editing (lead)

Objectives Xinjiang plays a vital role in the trans-Eurasian population migration, language diffusion, and culture and technology exchange. However, the underrepresentation of Xinjiang's genomes has hindered a more comprehensive understanding of Xinjiang's genetic structure and population history. Materials and Methods We collected and genotyped 70 southern Xinjiang's Kyrgyz (SXJK) individuals and combined the data with modern and ancient Eurasians published. We used allele-frequency methods, including PCA, ADMIXTURE, f -statistics, qpWave/qpAdm , ALDER, Treemix, and haplotype-shared methods including shared-IBD segments, fineSTRUCTURE, and GLOBETROTTER to unveil the fine-scale population structure and reconstruct admixture history. Results We identified genetic substructure within the SXJK population with subgroups showing different genetic affinities to West and East Eurasians. All SXJK subgroups were suggested to have close genetic relationships with surrounding Turkic-speaking groups that is, Uyghur, Kyrgyz from north Xinjiang and Tajikistan, and Chinese Kazakh, suggesting a shared ancestry among those populations. Outgroup- f 3 and symmetrical f 4 statistics showed a high genetic affinity of SXJK to present-day Tungusic, Mongolic-speaking populations and Ancient Northeast Asian (ANA) related groups. Allele sharing and haplotype sharing profiles revealed the east–west admixture pattern of SXJK. The qpAdm -based admixture models showed that SXJK derived ancestry from East Eurasian (ANA and East Asian, 42.7%–83.3%) and West Eurasian (Western Steppe herders and Central Asian, 16.7%–57.3%), the recent east–west admixture event could be traced to 1000 years ago based on ALDER and GLOBETROTTER analysis. Discussion The high genetic affinity of SXJK to present-day Tungusic and Mongolic-speaking populations and short-shared IBD segments indicated their shared common ancestry. SXJK harbored a close genetic affinity to ANA-related populations, indicating the Northeast Asia

关键词： admixture history genetic continuity genetic structure genome-wide SNP Kyrgyz

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The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

arXiv

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arXiv 2021年

作者： Baheti, Bhakti Chakrabarty, Satrajit Akbari, Hamed Bilello, Michel Wiestler, Benedikt Schwarting, Julian Calabrese, Evan Rudie, Jeffrey Abidi, Syed Mousa, Mina Villanueva-Meyer, Javier Fields, Brandon K.K. Kofler, Florian Shinohara, Russell Takeshi Iglesias, Juan Eugenio Mok, Tony C.W. Chung, Albert C.S. Wodzinski, Marek Jurgas, Artur Marini, Niccolò Atzori, Manfredo Müller, Henning Grosbröhmer, Christoph Siebert, Hanna Hansen, Lasse Heinrich, Mattias P. Canalini, Luca Klein, Jan Gerken, Annika Heldmann, Stefan Hering, Alessa Hahn, Horst K. Meng, Mingyuan Bi, Lei Feng, Dagan Kim, Jinman Zeineldinal, Ramy A. Karar, Mohamed E. Mathis-Ullrich, Franziska Burgert, Oliver Abderezaei, Javid Pionteck, Aymeric Chopra, Agamdeep Kurt, Mehmet Yan, Kewei Yan, Yonghong Tang, Zhe Ma, Jianqiang Nasser, Sahar Almahfouz Kurian, Nikhil Cherian Meena, Mohit Shamsi, Saqib Sethi, Amit Tustison, Nicholas J. Avants, Brian B. Cook, Philip Gee, James C. Tian, Lin Greer, Hastings Niethammer, Marc Hoopesar, Andrew Hoffmannas, Malte Dalcaar, Adrian V. Christodoulidis, Stergios Estiene, Théo Vakalopoulou, Maria Paragios, Nikos Marcus, Daniel S. Davatzikos, Christos Sotiras, Aristeidis Menze, Bjoern Bakas, Spyridon Waldmannstetter, Diana Division of Computational Pathology Department of Pathology and Laboratory Medicine Indiana University School of Medicine IndianapolisIN United States Department of Electrical and Systems Engineering Washington University in St. Louis St. LouisMO United States GE HealthCare San RamonCA United States University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Mallinckrodt Institute of Radiology Washington University School of Medicine St. LouisMO United States Institute for Informatics Data Science & Biostatistics Washington University School of Medicine St. LouisMO United States Department of Bioengineering Santa Clara University Santa ClaraCA United States Department of Quantitative Biomedicine University of Zurich Zurich Switzerland Department of Computer Science TUM School of Computation Information and Technology Technical University of Munich Munich Germany Department of Diagnostic and Interventional Neuroradiology School of Medicine Klinikum rechts der Isar Technical University of Munich Munich Germany Department of Nuclear Medicine University Hospital Regensburg Regensburg Germany University Hospital Regensburg Regensburg Germany Department of Radiology & Biomedical Imaging University of California San FranciscoCA United States Department of Radiology Duke University Medical Center DurhamNC United States Department of Radiology University of California San DiegoCA United States Helmholtz AI Helmholtz Munich Neuherberg Germany Penn Statistics in Imaging and Visualization Center Department of Biostatistics Epidemiology and Informatics University of Pennsylvania Philadelphia United States Massachusetts General Hospital Harvard Medical School United States Centre for Medical Imaging Computing University College London United Kingdom The Hong Kong University of Science and Technology Hong Kong University of Applied Sciences West

Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been considerable progress in developing general-purpose medical image registration techniques, they have not yet attained the requisite precision and reliability for this task, highlighting its inherent complexity. Here we describe the Brain Tumor Sequence Registration (BraTS-Reg) challenge, as the first public benchmark environment for deformable registration algorithms focusing on estimating correspondences between pre-operative and follow-up scans of the same patient diagnosed with a diffuse brain glioma. The challenge was conducted in conjunction with both the IEEE International Symposium on Biomedical Imaging (ISBI) 2022 and the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2022. The BraTS-Reg data comprise de-identified multi-institutional multi-parametric MRI (mpMRI) scans, curated for size and resolution according to a canonical anatomical template, and divided into training, validation, and testing sets. Clinical experts annotated ground truth (GT) landmark points of anatomical locations distinct across the temporal domain. The training data with their GT annotations, were publicly released to enable the development of registration algorithms. The validation data, without their GT annotations, were also released to allow for algorithmic evaluation prior to the testing phase, which only allowed submission of containerized algorithms for evaluation on hidden hold-out testing data. Quantitative evaluation and ranking was based on the Median Euclidean Error (MEE), Robustness, and the determinant of the Jacobian of the displacement field. The top-ranked methodologies yielded similar performance across all evaluation metrics and shared several methodological commonalities, including pre-alignment, deep neural networks, inverse consistency

关键词： Magnetic resonance imaging

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Cover Image, Volume 8, Issue 2

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WIREs Water 2021年第2期8卷

作者： Giri Kattel Jessica Reeves Andrew Western Wenjing Zhang Wei Jing Suzanne McGowan Lan Cuo Peter Scales Kim Dowling Qiang He Lei Wang Samantha Capon Zenghui Pan Jiansheng Cui Lulu Zhang Luo Xiao Chun Liu Ke Zhang Chuanyu Gao Zaifeng Tian Yongding Liu Department of Infrastructure Engineering The University of Melbourne Melbourne Australia College of Environmental Science and Technology Hebei University of Science and Technology Shijiazhuang China Department of Hydraulic Engineering Tsinghua University Beijing China Faculty of Health and Life Sciences Federation University Australia Ballarat Australia Contribution: Conceptualization Data curation Formal analysis Funding acquisition Investigation Methodology Resources Supervision Validation Visualization Writing - original draft Writing - review & editing Contribution: Investigation Methodology Writing - review & editing School of Geography The University of Melbourne Melbourne Australia Contribution: Investigation Methodology Visualization Department of Geography Nottingham University Nottingham UK Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China Department of Chemical Engineering The University of Melbourne Melbourne Australia School of Science Engineering and Information Technology Federation University Ballarat Australia Department of Geology University of Johannesburg South Africa Contribution: Investigation Writing - review & editing Department of Civil and Environmental Engineering The University of Tennessee Knoxville Tennessee USA Contribution: Investigation Validation Writing - review & editing Australian Rivers Institute Griffith University Brisbane Australia Hebei Institute of Water Science Shijiazhuang China Contribution: Investigation Validation Contribution: Funding acquisition Resources Contribution: Investigation Contribution: Funding acquisition Investigation Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing China The Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun China Hebei Environmental Science Institute Shijiazhuang China Institute of Hydrobiology Chinese Academy of Sciences Wuhan China

The cover image is based on the Focus Article Healthy waterways and ecologically sustainable cities in Beijing-Tianjin-Hebei urban agglomeration (northern China): Challenges and future directions by Giri Kattel et al....

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Conferring BiVO4Nanorods with Oxygen Vacancies to Realize Enhanced Sonodynamic Cancer Therapy

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Angewandte Chemie 2022年第44期134卷

作者： Dr. Zhuang Yang Dr. Meng Yuan Dr. Bin Liu Dr. Wenying Zhang Dr. Aziz Maleki Prof. Baolin Guo Prof. Ping'an Ma Prof. Ziyong Cheng Prof. Jun Lin State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied Chemistry Changchun 130022 P. R. China School of Applied Chemistry and Engineering University of Science and Technology of China Hefei 230026 P. R. China Contribution: Investigation (lead) Methodology (lead) Resources (lead) Supervision (lead) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Conceptualization (equal) Investigation (equal) Software (lead) Contribution: Formal analysis (supporting) Funding acquisition (supporting) Methodology (supporting) Contribution: Data curation (supporting) Project administration (supporting) Resources (supporting) Zanjan Pharmaceutical Nanotechnology Research Center (ZPNRC) and Department of Pharmaceutical Nanotechnology School of Pharmacy Zanjan University of Medical Sciences Zanjan 45139-56184 Iran Contribution: Methodology (supporting) Resources (supporting) State Key Laboratory for Mechanical Behavior of Materials and Frontier Institute of Science and Technology and Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of Stomatology Xi'an Jiaotong University Xi'an 710049 P. R. China Contribution: Investigation (supporting) Validation (supporting) Contribution: Formal analysis (supporting) Software (supporting) Visualization (supporting) Guangdong Provincial Key Laboratory of Research and Development of Natural Drugs School of Pharmacy Guangdong Medical University Guangdong Medical University Key Laboratory of Research and Development of New Medical Materials Dongguan 523808 P. R. China Contribution: Validation (lead) Visualization (lead) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Resources (lead) Visualization (lead) Writing - review & editing (lead)

Owing to the high depth of tissue penetration, non-invasiveness, and controllability, ultrasound (US)-mediated sonodynamic therapy (SDT) has shown broad application prospects for tumor treatment. However, the electron-hole separation inefficiency of sonosensitizers and the tumor hypoxia remain two major challenges limiting the effect of SDT. Here, ultrafine photoetched bismuth vanadate (BiVO 4 ) nanorods modified with DSPE-PEG 2000 (PEBVO@PEG NRs) were fabricated to achieve in situ self-supply of oxygen (O 2 ) and reactive oxygen species (ROS) for hypoxic tumor therapy. The photoetching approach could enhance the charge separation by inducing enriched oxygen vacancies on the surface of BiVO 4 , thereby improving the generation efficiency of ROS and O 2 . The PEBVO@PEG overcome the main obstacles of traditional sonosensitizers in the SDT process and show promising sonodynamic therapeutic effects, thus providing new strategies for improving the performance of sonosensitizer and hypoxic tumor elimination.

关键词： Bismuth Vanadate Sonodynamic Therapy Sonosensitizers Surface Oxygen Vacancies Ultrasound

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Structural Influence of Lone Pairs in GeP2N4, a Germanium(II) Nitridophosphate

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Angewandte Chemie 2022年第3期135卷

作者： M. Sc. Sebastian J. Ambach Cody Somers Dr. Tristan de Boer Dr. Lucien Eisenburger Prof. Dr. Alexander Moewes Prof. Dr. Wolfgang Schnick Department of Chemistry Ludwig-Maximilians-University Munich Butenandtstraße 5–13 81377 Munich Germany Contribution: Data curation (lead) Formal analysis (lead) Investigation (lead) Validation (equal) Visualization (lead) Writing - original draft (lead) Writing - review & editing (equal) Department of Physics and Engineering Physics University of Saskatchewan 116 Science Place Saskatoon Saskatchewan S7 N 5E2 Canada Contribution: Formal analysis (supporting) Investigation (supporting) Writing - review & editing (supporting) Contribution: Formal analysis (supporting) Funding acquisition (supporting) Investigation (supporting) Project administration (supporting) Supervision (supporting) Validation (supporting) Writing - original draft (supporting) Writing - review & editing (supporting) Contribution: Conceptualization (lead) Funding acquisition (lead) Project administration (lead) Resources (lead) Supervision (lead) Validation (equal) Writing - original draft (supporting) Writing - review & editing (equal)

Owing to their widespread properties, nitridophosphates are of high interest in current research. Explorative high-pressure high-temperature investigations yielded various compounds with stoichiometry M P 2 N 4 ( M =Be, Ca, Sr, Ba, Mn, Cd), which are discussed as ultra-hard or luminescent materials, when doped with Eu 2+ . Herein, we report the first germanium nitridophosphate, GeP 2 N 4 , synthesized from Ge 3 N 4 and P 3 N 5 at 6 GPa and 800 °C. The structure was determined by single-crystal X-ray diffraction and further characterized by energy-dispersive X-ray spectroscopy, density functional theory calculations, IR and NMR spectroscopy. The highly condensed network of PN 4 -tetrahedra shows a strong structural divergence to other M P 2 N 4 compounds, which is attributed to the stereochemical influence of the lone pair of Ge 2+ . Thus, the formal exchange of alkaline earth cations with Ge 2+ may open access to various compounds with literature-known stoichiometry, however, new structures and properties.

关键词： Germanium High-Pressure Chemistry Nitrides Nitridophosphates Solid-State Structures

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In Situ Reprogramming of Tumor-Associated Macrophages with Internally and Externally Engineered Exosomes

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Angewandte Chemie 2023年第11期135卷

作者： Dr. Lingmin Zhang Yinshan Lin Dr. Songpei Li Xiaoling Guan Xingyu Jiang Shenzhen Key Laboratory of Smart Healthcare Engineering Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology No. 1088 Xueyuan Rd Nanshan District 518055 Shenzhen Guangdong China Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology the NMPA and State Key Laboratory of Respiratory Disease School of Pharmaceutical Sciences and the Fifth Affiliated Hospital Guangzhou Medical University 511436 Guangzhou Guangdong China Contribution: Conceptualization (lead) Formal analysis (equal) Funding acquisition (equal) Project administration (equal) Supervision (equal) Writing - review & editing (lead) Contribution: Data curation (lead) Formal analysis (lead) Methodology (lead) Software (lead) Validation (lead) Visualization (lead) Contribution: Investigation (equal) Methodology (equal) Software (equal) Writing - original draft (lead) Contribution: Investigation (supporting) Methodology (supporting) Software (supporting) Validation (supporting) Contribution: Conceptualization (equal) Funding acquisition (lead) Project administration (lead) Resources (lead) Supervision (lead)

The reprogramming of tumor-associated macrophages (TAMs) has emerged as an efficient strategy for immunotherapy. However, most of the approaches did not allow the in situ reprogramming of TAM because their low efficiency, non-specificity, or potential side effects. Herein, we produced exosomes with the clustered regularly interspaced short palindromic repeats interference (CRISPRi) internally engineered and the TAM specific peptide externally engineered onto the exosome membrane. The i nternally and e xternally e ngineered e xosomes ( IEEE , also named as I3E ) allowed the selective homing to tumor tissue and targeted to M2-like TAMs, which nearly repressed the expression of PI-3 kinase gamma (PI3Kγ) completely, and induced the TAMs polarizing to M1 both in vitro and in vivo. The polarized M1 macrophages awakened the “hot” tumor-immunity, causing the increase of T lymphocyte infiltration and the decrease of myeloid-derived suppressor cells, and inhibiting the tumor growth significantly. I3E reprogramed TAMs in situ precisely and efficiently.

关键词： CRISPRi Engineered Exosomes In Situ Reprogramming Lung Cancer Tumor-Associated Macrophages

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Biomedical image analysis competitions: The state of current participation practice

arXiv

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arXiv 2022年

作者： Eisenmann, Matthias Reinke, Annika Weru, Vivienn Tizabi, Minu Dietlinde Isensee, Fabian Adler, Tim J. Godau, Patrick Cheplygina, Veronika Kozubek, Michal Maier-Hein, Klaus Jäger, Paul F. Kopp-Schneider, Annette Maier-Hein, Lena Ali, Sharib Gupta, Anubha Kybic, Jan Noble, Alison de Solórzano, Carlos Ortiz Pachade, Samiksha Petitjean, Caroline Sage, Daniel Wei, Donglai Wilden, Elizabeth Alapatt, Deepak Andrearczyk, Vincent Baid, Ujjwal Bakas, Spyridon Balu, Niranjan Bano, Sophia Bawa, Vivek Singh Bernal, Jorge Bodenstedt, Sebastian Casella, Alessandro Choi, Jinwook Commowick, Olivier Daum, Marie Depeursinge, Adrien Dorent, Reuben Egger, Jan Eichhorn, Hannah Engelhardt, Sandy Ganz, Melanie Girard, Gabriel Hansen, Lasse Heinrich, Mattias Heller, Nicholas Hering, Alessa Huaulmé, Arnaud Kim, Hyunjeong Li, Hongwei Bran Landman, Bennett Li, Jianning Ma, Jun Martel, Anne Martín-Isla, Carlos Menze, Bjoern Nwoye, Chinedu Innocent Oreiller, Valentin Padoy, Nicolas Pati, Sarthak Payette, Kelly Sudre, Carole van Wijnen, Kimberlin Vardazaryan, Armine Vercauteren, Tom Wagner, Martin Wang, Chuanbo Yap, Moi Hoon Yu, Zeyun Yuan, Chun Zenk, Maximilian Zia, Aneeq Zimmerer, David Bao, Rina Choi, Chanyeol Cohen, Andrew Dzyubachyk, Oleh Galdran, Adrian Gan, Tianyuan Guo, Tianqi Gupta, Pradyumna Haithami, Mahmood Ho, Edward Jang, Ikbeom Li, Zhili Luo, Zhengbo Lux, Filip Makrogiannis, Sokratis Müller, Dominik Oh, Young-Tack Pang, Subeen Pape, Constantin Polat, Gorkem Reed, Charlotte Rosalie Ryu, Kanghyun Scherr, Tim Thambawita, Vajira Wang, Haoyu Wang, Xinliang Xu, Kele Yeh, Hung Yeo, Doyeob Yuan, Yixuan Zeng, Yan Zhao, Xin Abbing, Julian Adam, Jannes Adluru, Nagesh Agethen, Niklas Ahmed, Salman Al Khalil, Yasmina Alenyà, Mireia Alhoniemi, Esa An, Chengyang Arega, Tewodros Weldebirhan Avisdris, Netanell Aydogan, Dogu Baran Bai, Yingbin Calisto, Maria Baldeon Basaran, Berke Doga Beetz, Marcel Bian, Hao Blansit, Kevin Bloch, Louise Bohnsack, Robert Bosticardo, Sara Breen, Jack Brudfors, Mikael Brüngel, Raphael Cabezas, Mariano Cacciola, Alb Heidelberg Division of Intelligent Medical Systems Germany Heidelberg HI Helmholtz Imaging Germany Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Biostatistics Germany Heidelberg Division of Medical Image Computing Germany Heidelberg HI Applied Vision Lab Germany IT University of Copenhagen Copenhagen Denmark Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Heidelberg Interactive Machine Learning Group Germany Faculty of Mathematics and Computer Science and Medical Faculty Heidelberg University Heidelberg Germany NCT Heidelberg DKFZ University Hospital Heidelberg Germany School of Computing University of Leeds Leeds United Kingdom SBILab Department of ECE IIIT-Delhi India Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Institute of Biomedical Engineering University of Oxford United Kingdom Center for Applied Medical Research Pamplona Spain Shri Guru Gobind Singhji Institute of Engineering and Technology Maharashtra Nanded India Université de Rouen Normandie France Lausanne Switzerland School of Engineering and Applied Science Harvard University United States ICube University of Strasbourg CNRS France Institute of Informatics School of Management HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland Techno-Pôle 3 Sierre3960 Switzerland Department of Nuclear Medicine and Molecular Imaging Lausanne University Hospital Rue du Bugnon 46 LausanneCH-1011 Switzerland University of Pennsylvania PhiladelphiaPA United States Department of Radiology University of Washington United States Wellcome EPSRC Centre for Interventional and Surgical Sciences University College London London United Kingdom Visual Artificial Intelligence Lab Oxford Brookes University Oxford United Kingdom Universitat Autònoma de Barcelona & Computer Vision Center Spain Dresden Fetscherstraße 74 PF 64 Dresden01307 Germany

The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known about the common practice as well as bottlenecks faced by the community in tackling the research questions posed. To shed light on the status quo of algorithm development in the specific field of biomedical imaging analysis, we designed an international survey that was issued to all participants of challenges conducted in conjunction with the IEEE ISBI 2021 and MICCAI 2021 conferences (80 competitions in total). The survey covered participants' expertise and working environments, their chosen strategies, as well as algorithm characteristics. A median of 72% challenge participants took part in the survey. According to our results, knowledge exchange was the primary incentive (70%) for participation, while the reception of prize money played only a minor role (16%). While a median of 80 working hours was spent on method development, a large portion of participants stated that they did not have enough time for method development (32%). 25% perceived the infrastructure to be a bottleneck. Overall, 94% of all solutions were deep learning-based. Of these, 84% were based on standard architectures. 43% of the respondents reported that the data samples (e.g., images) were too large to be processed at once. This was most commonly addressed by patch-based training (69%), downsampling (37%), and solving 3D analysis tasks as a series of 2D tasks. K-fold cross-validation on the training set was performed by only 37% of the participants and only 50% of the participants performed ensembling based on multiple identical models (61%) or heterogeneous models (39%). 48% of the respondents applied postprocessing steps. © 2022, CC BY.

关键词： Benchmarking

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Correlation between Electrolyte Chemistry and Solid Electrolyte Interphase for Reversible Ca Metal Anodes

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Angewandte Chemie 2022年第50期134卷

作者： Dr. Zhen Hou Rui Zhou Yunduo Yao Zhiwen Min Dr. Ziheng Lu Prof. Ye Zhu Prof. Jean-Marie Tarascon Prof. Biao Zhang Department of Applied Physics & Research Institute for Smart Energy The Hong Kong Polytechnic University Hung Hom Hong Kong China Contribution: Conceptualization (equal) Data curation (lead) Formal analysis (lead) Investigation (lead) Methodology (equal) Validation (equal) Visualization (equal) Writing - original draft (lead) Writing - review & editing (equal) Contribution: Investigation (supporting) Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China Contribution: Software (supporting) Microsoft Research AI4Science Beijing 100080 China Contribution: Software (lead) Writing - review & editing (supporting) Chimie du Solide-Energie UMR 8260 Collège de France Paris France Contribution: Writing - review & editing (equal) Contribution: Conceptualization (equal) Funding acquisition (lead) Methodology (equal) Project administration (lead) Resources (lead) Supervision (lead) Validation (equal) Writing - review & editing (equal)

The development of rechargeable Ca metal batteries (RCMBs) is hindered by the Ca 2+ passivating solid electrolyte interphases (SEIs). The cation solvation structure dictated by electrolyte chemistry plays a critical role in the SEIs properties. While a relatively weak cation-solvent binding is preferred in Li metal anodes to promote anion-derived SEIs, we demonstrate an enhanced Ca deposition/stripping reversibility under a strong cation-solvent interaction, which is materialized in strongly-solvating solvent and highly-dissociated salt combinations. Such electrolyte formulations benefit the formation of solvent-occupied solvation structure and minimize the anion reduction, resulting in organic-rich/CaF 2 -poor SEIs for reversible Ca metal anodes. Furthermore, RCMBs paired with an organic cathode using the optimized electrolytes are demonstrated as a proof-of-concept. Our work reveals the paradigm shift in SEIs design for Ca metal anodes, opening up new opportunities for emerging RCMBs.

关键词： Ca Deposition/Stripping Electrolyte Formulation Solid Electrolyte Interphase Solvation Structure

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