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Topographical pattern of blood-brain barrier impairment in preclinical and clinical Alzheimer’s disease

Alzheimer's & Dementia 2023年第S17期19卷

作者： Dahyun Yi Min Soo Byun Joon Sik Park Gihwan Byeon Hyejin Ahn Gijung Jung Koung Mi Kang Chul-Ho Sohn Jaeseok Park Dong Young Lee Seoul National University Seoul Korea Republic of (South) Institute of Human Behavioral Medicine Medical Research Center Seoul National University Seoul Korea Republic of (South) Correspondece Seoul National University College of Medicine Seoul Korea Republic of (South) Seoul National University Hospital Seoul Korea Republic of (South) Sungkyunkwan University Department of Biomedical Engineering Seoul Korea Republic of (South) Kangwon National University Hospital Chuncheon Korea Republic of (South) Interdisciplinary program of cognitive science Seoul National University College of Humanities Seoul Korea Republic of (South) Sungkyunkwan University Biomedical Institute for Convergence Seoul Korea Republic of (South)

Background While blood-brain barrier (BBB) damage in some brain regions has been suggested in Alzheimer’s disease (AD) dementia and mild cognitive impairment (MCI), the topographical pattern of BBB impairment associated with AD process in whole brain level is still poorly understood. Using high-resolution 3-dimensional (3D) dynamic contrast-enhanced (DCE) scans of BBB permeability ( K trans ) for the whole brain, we aimed to reveal topographical pattern of BBB impairment related to Alzheimer’s disease (AD) including preclinical as well as clinically impaired state. Method Ninety-one participants were included in the study [45 cognitively normal (CN) older adults, 24 individuals with mild cognitive impairment (MCI), and 22 patients with AD dementia]. Comprehensive clinical and neuropsychological assessments were administered to all participants. High-resolution DCE- as well as T 1 -weighted-MRI scans were obtained in addition to amyloid-PET scans. Amyloid-beta (Ab) positivity was obtained using previously established cut-offs. Preprocessing of K trans maps incorporated FreeSurfer-based (v6.0) segmentation to ensure exclusion of the voxels within cerebrospinal fluid (CSF) spaces. Voxel-wise analyses were conducted using SPM12 implemented in MATLAB 2018b. Result Subtle BBB impairment, as measured by K trans map images based on high-resolution 3D DCE-MRI, was observed at multiple brain regions even in preclinical AD (i.e., Ab-positive CN) as well as AD with cognitive impairment (i.e., Ab-positive MCI and AD). The brain regions with impaired K trans closely corresponded to the AD-signature regions (Figure). Compared to Ab-negative CN, Ab-positive CN showed increased breakdown of BBB in the precuneus, posterior-cingulate cortex, and medial temporal lobe. Moreover, compared to Ab-negative CN, Ab-positive MCI and AD patients showed increased breakdown of BBB in more diffuse regions including bilateral frontal, parietal and inferior temporal areas. In contrast, when using lo

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The molecular identification and phylogenetic reconstruction of Palaemonid and Penaeid shrimp from the southern part of Bangladesh

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IOP Conference Series: Earth and Environmental Science 2019年第1期236卷

作者： M J Alam S Andriyono A T M Eunus H W Kim Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Fisheries Ministry of Fisheries and Livestock Bangladesh Fisheries and Marine Faculty C Campus Jl. Mulyorejo Surabaya 60115. Universitas Airlangga Surabaya East Java Indonesia WorldFish Bangladesh and South Asia Office H#22B Road#7 Block-F Banani Dhaka- 1213 Bangladesh Department of Marine Biology Pukyong National University Republic of Korea

The study aimed to reveal the molecular identification and relationships between Palaemonid prawns and Penaeid shrimp in Bangladesh. Combined, they form an important economic part of tropical and subtropical fisheries. These species have a wide distribution range around the mangrove ecosystems, rivers, estuaries, flood plains, inundated natural depression water bodies, rice fields and other inland water bodies. Some of these species have a lack of information available about their biological and molecular characteristics. This study revealed the identification of prawn and shrimp species based on the molecular approach employed using mitochondrial COI gene markers, PCR, sequencing and matching the sequence to that stored in the NCBI database; four Palaemonid species (Macrobrachiumrosenbergii, M. lamarrei, M. kistnense,Palaemonstyliferus) and one Penaeid shrimp (Penaeus monodon) were confirmed with 99-100% confirmation of identity with multiple sequencing alignments. The inter-specific genetic divergence (K2P distance) among the family Palaemonid (Macrobrachium and Palaemon) is 0.171-0.257 %, and intraspecific genetic distance was revealed to be 0.243-0.302%. This result will be useful for obtaining the basic genetic information of these species and it will be helpful for future studies looking into the genetic biodiversity of the population structure, and finally, for the conservation and management of these resources in the southern part of Bangladesh.

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Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis

arXiv

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arXiv 2017年

作者： Sung, Jaeyun Kim, Seunghyeon Cabatbat, Josephine Jill T. Jang, Sungho Jin, Yong-Su Jung, Gyoo Yeol Chia, Nicholas Kim, Pan-Jun Asia Pacific Center for Theoretical Physics Pohang Gyeongbuk37673 Korea Republic of Center for Computational and Integrative Biology Massachusetts General Hospital Harvard Medical School BostonMA02114 United States Broad Institute of MIT and Harvard CambridgeMA02142 United States Department of Physics Pohang University of Science and Technology Pohang Gyeongbuk37673 Korea Republic of Abdus Salam International Centre for Theoretical Physics Trieste34151 Italy Department of Chemical Engineering Pohang University of Science and Technology Pohang Gyeongbuk37673 Korea Republic of Department of Food Science and Human Nutrition University of Illinois at Urbana-Champaign UrbanaIL61801 United States Carl R. Woese Institute for Genomic Biology University of Illinois at Urbana-Champaign UrbanaIL61801 United States School of Interdisciplinary Bioscience and Bioengineering Pohang University of Science and Technology Pohang Gyeongbuk37673 Korea Republic of Microbiome Program Center for Individualized Medicine Mayo Clinic RochesterMN55905 United States Department of Surgery Mayo Clinic RochesterMN55905 United States Department of Biomedical Engineering Mayo College RochesterMN55905 United States Department of Physics Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of

A system-level framework of complex microbe-microbe and host-microbe chemical cross-talk would help elucidate the role of our gut microbiota in health and disease. Here we report a literature-curated interspecies network of the human gut microbiota, called NJS16. This is an extensive data resource composed of ~570 microbial species and 3 human cell types metabolically interacting through >4,400 small-molecule transport and macromolecule degradation events. Based on the contents of our network, we develop a mathematical approach to elucidate representative microbial and metabolic features of the gut microbial community in a given population, such as a disease cohort. Applying this strategy to microbiome data from type 2 diabetes patients reveals a context-specific infrastructure of the gut microbial ecosystem, core microbial entities with large metabolic influence, and frequently-produced metabolic compounds that might indicate relevant community metabolic processes. Our network presents a foundation towards integrative investigations of community-scale microbial activities within the human gut. Copyright © 2017, The Authors. All rights reserved.

关键词： Bacteria

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Author Correction: O-GlcNAc modification of leucyl-tRNA synthetase 1 integrates leucine and glucose availability to regulate mTORC1 and the metabolic fate of leucine

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Nature communications 2022年第1期13卷 6253页

作者： Kibum Kim Hee Chan Yoo Byung Gyu Kim Sulhee Kim Yulseung Sung Ina Yoon Ya Chun Yu Seung Joon Park Jong Hyun Kim Kyungjae Myung Kwang Yeon Hwang Sunghoon Kim Jung Min Han Interdisciplinary Program of Integrated OMICS for Biomedical Science Graduate School Yonsei University Seoul 03722 South Korea. Yonsei Institute of Pharmaceutical Sciences College of Pharmacy Yonsei University Incheon 21983 South Korea. Center for Genomic Integrity Institute for Basic Science Ulsan 44919 South Korea. Department of Biotechnology College of Life Sciences and Biotechnology Korea University Seoul 02841 South Korea. Institute for Artificial Intelligence and Biomedical Research Medicinal Bioconvergence Research Center Yonsei University Incheon 21983 South Korea. College of Medicine Gangnam Severance Hospital Yonsei University Seoul 06273 South Korea. Department of Biochemistry School of Medicine Catholic University of Daegu Daegu 42472 South Korea. Department of Biomedical Engineering Ulsan National Institute of Science and Technology Ulsan 44919 South Korea. Interdisciplinary Program of Integrated OMICS for Biomedical Science Graduate School Yonsei University Seoul 03722 South Korea. jhan74@yonsei.ac.kr. Yonsei Institute of Pharmaceutical Sciences College of Pharmacy Yonsei University Incheon 21983 South Korea. jhan74@yonsei.ac.kr. POSTECH Biotech Center Pohang University of Science and Technology Pohang 37673 South Korea. jhan74@yonsei.ac.kr.

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A Reconfigurable DNA Accordion Rack

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Angewandte Chemie 2018年第11期130卷

作者： Yeongjae Choi Hansol Choi Amos C. Lee Hyunung Lee Sunghoon Kwon Department of Electrical and Computer Engineering Seoul National University 1 Gwanak-ro Gwanak-gu Seoul 08826 Republic of Korea Interdisciplinary Program for Bioengineering Seoul National University 1 Gwanak-ro Gwanak-gu Seoul 08826 Republic of Korea Institute of Entrepreneurial Bio Convergence Seoul National University 1 Gwanak-ro Gwanak-gu Seoul 08826 Republic of Korea Seoul National University Hospital Biomedical Research Institute Seoul National University Hospital 101 Daehak-ro Jongno-gu Seoul 03080 Republic of Korea

DNA nanostructure‐based mechanical systems that control the distance between elements of interest have demonstrated great potential for various applications, including nanoplasmonic systems, molecular reactors, and other nanotechnology platforms. However, previously reported systems could not collectively manipulate a 2D or 3D nanoscale network of elements to various forms in multiple stages. A reconfigurable DNA accordion rack structure is introduced that is a DNA beam lattice that changes its conformation with a small amount of short‐length DNA locks as the controlling input. The lattice shape of the 2D DNA accordion rack and the diameter and the height of the 3D DNA nanotubular structure made of the DNA accordion rack could be controlled. Furthermore, by sequentially repeating the detachment and the attachment of the different DNA locks using strand displacement, the shape reconfiguration was repeatedly carried out.

关键词： DNA-Nanomaschinen DNA-Nanotechnologie DNA-Strukturen Nanoporen Selbstorganisation

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Comparison of spatial distribution characteristics of shock wave pressure field and cavitation bubble cloud

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Proceedings of Meetings on Acoustics 2017年第1期32卷

作者： Gwansuk Kang Ohbin Kwon Jung Sik Huh Min Joo Choi 1Interdisciplinary Postgraduate Program in Biomedical Engineering Jeju National University Jejusi Jeju Special Self-Governing Province 63243 REPUBLIC OF KOREA mjchoi@jejunu.ac.kr djin89@*** 2Department of Urology Jeju National University Hospital Jeju-si Jeju Special Self-Governing Province REPUBLIC OF KOREA urohjs@jejunu.ac.kr 3Department of Medicine Jeju National University Jeju-si Jeju Special Self-Governing Province REPUBLIC OF KOREA

This study aims to compare the spatial characteristics of the cavitation bubble cloud and shockwave pressure field. Cavitation bubble cloud images were acquired using micro pulsed light with 150us exposure time and CCD camera, and images were accumulated after repeated several acquisitions. The shockwave field was measured using an optical hydrophone to compare with the distribution of cavitation bubbles. After the shockwave device was triggered, cavitation bubbles were generated and visualized during 150us light exposure and were collapsed at the same position where they were generated. Most of the bubbles are concentrated in the focal region of the shockwave. The largest bubbles were observed at the peak negative pressure position in the focal area In the remaining focal area, it was formed as relatively small bubbles. Outside the focal area, very small bubbles were sparsely observed. Cavitation bubbles produced by a single shockwave pulse are highly correlated with the shockwave pressure at exposed location since there is no significant positional movement with time. Therefore, the distribution of cavitation bubble is similar to the spatial characteristics of the shockwave pressure field. It is possible to qualitatively analyze the shockwave pressure field by observing the cavitation bubbles which is difficult to measure.

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An Open-Source Knowledge Graph Ecosystem for the Life Sciences

arXiv

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arXiv 2023年

作者： Callahan, Tiffany J. Tripodi, Ignacio J. Stefanski, Adrianne L. Cappelletti, Luca Taneja, Sanya B. Wyrwa, Jordan M. Casiraghi, Elena Matentzoglu, Nicolas A. Reese, Justin Silverstein, Jonathan C. Hoyt, Charles Tapley Boyce, Richard D. Malec, Scott A. Unni, Deepak R. Joachimiak, Marcin P. Robinson, Peter N. Mungall, Christopher J. Cavalleri, Emanuele Fontana, Tommaso Valentini, Giorgio Mesiti, Marco Gillenwater, Lucas A. Santangelo, Brook Vasilevsky, Nicole A. Hoehndorf, Robert Bennett, Tellen D. Ryan, Patrick B. Hripcsak, George Kahn, Michael G. Bada, Michael Baumgartner, William A. Hunter, Lawrence E. Computational Bioscience Program University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Biomedical Informatics Columbia University Irving Medical Center New YorkNY10032 United States Computer Science Department Interdisciplinary Quantitative Biology University of Colorado Boulder BoulderCO80301 United States AnacletoLab Computer Science Department University of Milan 20122 Italy Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Department of Physical Medicine and Rehabilitation School of Medicine University of Colorado Anschutz Medical Campus AuroraCO80045 United States Division of Environmental Genomics and Systems Biology Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Semanticly Ltd Athens Greece Department of Biomedical Informatics University of Pittsburgh School of Medicine PittsburghPA15206 United States Laboratory of Systems Pharmacology Harvard Medical School BostonMA02115 United States Division of Translational Informatics University of New Mexico School of Medicine AlbuquerqueNM87131 United States SIB Swiss Institute of Bioinformatics Basel Switzerland Berlin Institute of Health at Charité-Universitatsmedizin Berlin10117 Germany ELLIS European Laboratory for Learning and Intelligent Systems Germany Department of Biomedical Informatics University of Colorado School of Medicine AuroraCO80045 United States Data Collaboration Center Critical Path Institute 1840 E River Rd. Suite 100 TucsonAZ85718 United States Computer Electrical and Mathematical Sciences & Engineering Division Computational Bioscience Research Center King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Department of Pediatrics University of Colorado School of Medicine AuroraCO80045 United States Janssen Research and Development RaritanNJ08869 United States Division of General Internal Medicine University of Colorado School of Medicine A

Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowledge graphs (KGs) are used to model complex phenomena, and methods exist to construct them automatically. However, tackling complex biomedical integration problems requires flexibility in the way knowledge is modeled. Moreover, existing KG construction methods provide robust tooling at the cost of fixed or limited choices among knowledge representation models. PheKnowLator (Phenotype Knowledge Translator) is a semantic ecosystem for automating the FAIR (Findable, Accessible, Interoperable, and Reusable) construction of ontologically grounded KGs with fully customizable knowledge representation. The ecosystem includes KG construction resources (e.g., data preparation APIs), analysis tools (e.g., SPARQL endpoints and abstraction algorithms), and benchmarks (e.g., prebuilt KGs and embeddings). We evaluated the ecosystem by systematically comparing it to existing open-source KG construction methods and by analyzing its computational performance when used to construct 12 large-scale KGs. With flexible knowledge representation, PheKnowLator enables fully customizable KGs without compromising performance or usability. © 2023, CC BY.

关键词： Ecosystems

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Neuroprosthetics: Durable and Fatigue-Resistant Soft Peripheral Neuroprosthetics for In Vivo Bidirectional Signaling (Adv. Mater. 20/2021)

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Advanced Materials 2021年第20期33卷

作者： Hyunseon Seo Sang Ihn Han Kang-Il Song Duhwan Seong Kyungwoo Lee Sun Hong Kim Taesung Park Ja Hoon Koo Mikyung Shin Hyoung Won Baac Ok Kyu Park Soong Ju Oh Hyung-Seop Han Hojeong Jeon Yu-Chan Kim Dae-Hyeong Kim Taeghwan Hyeon Donghee Son School of Medicine Sungkyunkwan University Suwon 16419 Republic of Korea Center for Biomaterials Biomedical Research Institute Korea Institute of Science and Technology Seoul 02792 Republic of Korea Center for Nanoparticle Research Institute of Basic Science (IBS) Seoul 08826 Republic of Korea School of Chemical and Biological Engineering Seoul National University Seoul 08826 Republic of Korea Medical Device Development Center Daegu-Gyeongbuk Medical Innovation Foundation Daegu 41061 Republic of Korea Department of Electrical and Computer Engineering Sungkyunkwan University Suwon 16419 Republic of Korea Department of Electrical and Computer Engineering Inter-University Semiconductor Research Center Seoul National University Seoul 08826 Republic of Korea Department of Materials Science and Engineering Korea University Seoul 02841 Republic of Korea Interdisciplinary Program for Bioengineering Seoul National University Seoul 08826 Republic of Korea Department of Biomedical Engineering SKKU Institute for Convergence Sungkyunkwan University Suwon 16419 Republic of Korea Center for Neuroscience Imaging Research Institute for Basic Science (IBS) Suwon 16419 Republic of Korea Department of Superintelligence Engineering Sungkyunkwan University Suwon 16419 Republic of Korea

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Abstracts and Workshops 7th National Spinal Cord Injury Conference November 9-11, 2017 Fallsview Casino Resort Niagara Falls, Ontario, Canada Abstracts

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JOURNAL OF SPINAL CORD MEDICINE 2017年第6期40卷 813-869页

作者： [Anonymous] a NET Team Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. fo Neural Engineering and Therapeutic Team Lyndhurst Centre Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. c Rick Hansen Institute Vancouver BC Canada. ev Rick Hansen Institute Vancouver BC Canada. fc Stan Cassidy Hospital University of New Brunswick Fredericton NB Canada. fd Dalhousie University Halifax NS Canada. e University of Saskatchewan Saskatoon SK Canada. aa University of Calgary Calgary AB Canada. y Dalhousie University Halifax NS Canada. fa Health Sciences Centre Winnipeg MB Canada. fb University of Manitoba Winnipeg MB Canada. h University of Alberta Edmonton AB Canada. i Universite Laval Quebe c City QC Canada. bd Rick Hansen Institute Vancouver BC Canada. fz Clinician Investigator Lyndhurst Centre Toronto Rehabilitation Institute University Health Network and Assistant Professor Department of Medicine Division of Physical Medicine and Rehabilitation University of Toronto. v University of Toront o Toronto ON Canada. n Institute of Biomaterials and Biomedical Engineering University of Toronto Toronto ON Canada. o Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. ga Clinical Scientist Lyndhurst Centre Toronto Rehabilitation Institute University Health Network and Assistant Professor Department of Physical Therapy University of Toronto. dx Department of Electrical and Computer Engineering University of Toronto Toronto ON Canada. fm Lawson Health Research Institute London ON Canada. r Parkwood Institute London ON Canada. bi Parkwood Institute London ON Canada. s University of British Columbia Vancouver BC Canada. t Simon Fraser University Burnaby BC Canada. u DeltaQuest Foundation Concord MA USA. z Institut national d'excellence en santé et en services sociaux (INESSS) Quebec City QC Ca

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Photonic Crystals: Light‐Patterned Crystallographic Direction of a Self‐Organized 3D Soft Photonic Crystal (Adv. Mater. 42/2017)

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Advanced Materials 2017年第42期29卷

作者： Zhi‐Gang Zheng Cong‐Long Yuan Wei Hu Hari Krishna Bisoyi Ming‐Jie Tang Zhen Liu Pei‐Zhi Sun Wei‐Qiang Yang Xiao‐Qian Wang Dong Shen Yannian Li Fangfu Ye Yan‐Qing Lu Guoqiang Li Quan Li Department of Physics East China University of Science and Technology Shanghai 200237 China Liquid Crystal Institute and Chemical Physics Interdisciplinary Program Kent State University Kent OH 44242 USA National Laboratory of Solid State Microstructures Collaborative Innovation Center of Advanced Microstructures and College of Engineering and Applied Sciences Nanjing University Nanjing 210093 China Beijing National Laboratory for Condensed Matter Physics and CAS Key Laboratory of Soft Matter Physics Institute of Physics Chinese Academy of Sciences Beijing 100190 China Visual and Biomedical Optics Lab Department of Ophthalmology and Visual Science and Department of Electrical and Computer Engineering Ohio State University Columbus OH 43212 USA

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