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作者： Tsai, Tsung-Ting Chen, Yu-Hung Liao, Chao-Yaug Lin, Hsin-Tzu Liu, Mu-Yi Chen, Jin-Kai Lai, Po-Liang Tai, Ching-Lung Department of Orthopaedic Surgery Spine Section Bone and Joint Research Center Chang Gung Memorial Hospital and Chang Gung University College of Medicine Taoyuan33302 Taiwan Department of Medical Education Chang Gung Memorial Hospital Taoyuan33302 Taiwan Department of Mechanical Engineering National Central University Taoyuan32001 Taiwan Graduate Institute of Biomedical Engineering Chang Gung University Taoyuan33302 Taiwan Ph.D. Program in Biomedical Engineering Collage of Engineering Chang Gung University Taoyuan33302 Taiwan

Pedicle screws have been widely used for the treatment of spinal diseases, but improper screw placement is not uncommon and may lead to neurovascular injuries and reduced screw fixation strength. This study aimed to investigate the feasibility of using real-time screw insertion torque monitoring to prevent screw penetration. Commercially available synthetic L4 vertebrae were divided in to seven test groups based on different screw placements. Screw insertion torque and maximal pullout strength were compared among groups. The results indicated that the insertion torque gradually increased when the screw tip was within vertebral cancellous bone without penetration. However, an instantaneous decrease of torque value was observed once the screw tip penetrated the cortex wall. When compared to the control group, higher pullout strength was found for the groups with medial cortex penetration. However, vertebrae with medial cortex penetration may lead to the concern of neurovascular damage. Meanwhile, lower pullout strength was found for the groups with lateral cortex penetration and end-plate penetration, which may lead to the concern of screw loosening. We concluded that pedicle screw penetration can be judged using real-time screw insertion torque monitoring during surgery, which may aid surgeons in avoiding neurovascular injury and reduction of screw fixation strength. © 2019 World Scientific Publishing Company.

关键词： Screws

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Highly efficient capture of E. coli using amidoximated polyacrylonitrile nanofiber membrane immobilized with reactive green 19 dye/polyhexamethylene biguanide: Antibacterial and cytotoxicity studies

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Separation and Purification Technology 2024年 338卷

作者： Quang-Vinh Le Bing-Lan Liu Penjit Srinophakun Jeng-Ywan Shih Chi-Yun Wang Chen‑Yaw Chiu Shen-Long Tsai Kuei-Hsiang Chen Yu-Kaung Chang Department of Chemical Engineering National Taiwan University of Science and Technology Taipei City 10607 Taiwan Department of Applied Chemistry Chaoyang University of Technology Taichung 413310 Taiwan Department of Chemical Engineering Kasetsart University 50 Ngamwongwan Road Chatuchak Bangkok 10900 Thailand Department of Chemical Engineering Ming Chi University of Technology New Taipei City 243303 Taiwan International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Bone and Joint Research Centre Chang Gung Memorial Hospital Taoyuan City 333423 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Zhongli Dist. Taoyuan City 320315 Taiwan

In this study, we synthesized an amidoximated polyacrylonitrile nanofiber membrane (P-Oxime). Subsequently, we grafted reactive green 19 (RG19) dye onto its surface, resulting in the formation of the P-Oxime-RG19 membrane. Further enhancement was achieved by physically attaching poly(hexamethylene biguanide) hydrochloride (PHMB) to the P-Oxime-RG19 membrane, leading to the formation of the P-Oxime-RG19-PHMB membrane. Extensive characterization of the nanofiber membranes was conducted, focusing on crucial physical and mechanical properties such as functional group content, morphology, and thermostability. The optimization of various modification conditions, including initial dye and PHMB concentrations, duration, temperature, and nitrile group conversion to oxime concentrations, played a pivotal role in achieving superior antibacterial performance in P-Oxime-RG19-PHMB nanofiber membranes. In-depth analyses involved the application of kinetic and equilibrium thermodynamic models to unravel the modification processes of RG19 dye and PHMB in the nanofiber membranes. Under the carefully tuned optimal modification conditions, the P-Oxime-RG19-PHMB nanofiber membrane exhibited remarkable antibacterial efficacy, achieving nearly 100% disinfection of E. coli . In addition to exploring its antimicrobial capabilities, we thoroughly examined the repeatability and biocompatibility of the nanofiber membranes. The results indicated not only the P-Oxime-RG19-PHMB nanofiber membrane was a highly promising antibacterial material but also highlighted its potential for diverse applications, particularly in food and textile fabrication, owing to its exceptional performance and suitability.

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Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models

arXiv

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arXiv 2022年

作者： Aubry, Jean-Francois Bates, Oscar Boehm, Christian Pauly, Kim Butts Christensen, Douglas Cueto, Carlos Gélat, Pierre Guasch, Lluis Jaros, Jiri Jing, Yun Jones, Rebecca Li, Ningrui Marty, Patrick Montanaro, Hazael Neufeld, Esra Pichardo, Samuel Pinton, Gianmarco Pulkkinen, Aki Stanziola, Antonio Thielscher, Axel Treeby, Bradley Van't Wout, Elwin Physics for Medicine Paris INSERM U1273 ESPCI Paris PSL University CNRS UMR 8063 France Department of Bioengineering Imperial College London Exhibition Road LondonSW7 2AZ United Kingdom Institute of Geophysics ETH Zürich Sonneggstrasse 5 Zürich8092 Switzerland Department of Radiology Stanford University StanfordCA United States Department of Biomedical Engineering Department of Electrical and Computer Engineering University of Utah United States Department of Surgical Biotechnology Division of Surgery and Interventional Science University College London LondonNW3 2PF United Kingdom Earth Science and Engineering Department Imperial College London London United Kingdom Centre of Excellence IT4Innovations Faculty of Information Technology Brno University of Technology Bozetechova 2 Brno612 00 Czech Republic Graduate Program in Acoustics The Pennsylvania State University University Park PA16802 United States Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill North Carolina State University NC United States Department of Electrical Engineering Stanford University StanfordCA United States Zurich Switzerland Laboratory for Acoustics / Noise control Empa Swiss Federal Laboratories for Materials Science and Technology Dubendorf Switzerland Zurich Switzerland Radiology and Clinical Neurosciences Departments Cumming School of Medicine University of Calgary Canada Department of Applied Physics University of Eastern Finland Kuopio70211 Finland Department of Medical Physics and Biomedical Engineering University College London Gower Street LondonWC1E 6BT United Kingdom Technical University of Denmark Denmark Danish Research Center for Magnetic Resonance Copenhagen University Hospital Hvidovre Denmark Institute for Mathematical and Computational Engineering School of Engineering and Faculty of Mathematics Pontificia Universidad Catolica de Chile Santiago Chile

Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull distortions. To allow intercomparison between the different modeling tools and techniques used by the community, an international working group was convened to formulate a set of numerical benchmarks. Here, these benchmarks are presented, along with intercomparison results. Nine different benchmarks of increasing geometric complexity are defined. These include a single-layer planar bone immersed in water, a multi-layer bone, and a whole skull. Two transducer configurations are considered (a focused bowl and a plane piston), giving a total of 18 permutations of the benchmarks. Eleven different modeling tools are used to compute the benchmark results. The models span a wide range of numerical techniques, including the finite-difference time-domain method, angular-spectrum method, pseudospectral method, boundary-element method, and spectral-element method. Good agreement is found between the models, particularly for the position, size, and magnitude of the acoustic focus within the skull. When comparing results for each model with every other model in a cross comparison, the median values for each benchmark for the difference in focal pressure and position are less than 10% and 1 mm, respectively. The benchmark definitions, model results, and intercomparison codes are freely available to facilitate further comparisons. Copyright © 2022, The Authors. All rights reserved.

关键词： Bone

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Immobilization of poly(hexamethylene biguanide) to cellulose acetate- and cellulose-based nanofiber membranes for antibacterial and cytotoxic studies

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Biochemical engineering Journal 2024年 205卷

作者： Dinh Thi My Huong Chi-Yun Wang Pin-Yi Chen Chien Wei Ooi Xue Er Crystal Thew Bing-Lan Liu Chen-Yaw Chiu Shen-Long Tsai Kuei-Hsiang Chen Yu-Kaung Chang Department Chemical Technology and Environment University of Technology and Education the University of Da Nang Da Nang City Viet Nam Department Chemical Engineering/ Graduate School of Biochemical Engineering Ming Chi University of Technology New Taipei City 243303 Taiwan Department Chemical Engineering National Taiwan University of Science and Technology Taipei City 10607 Taiwan International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Bone and Joint Research Centre Chang Gung Memorial Hospital Taoyuan City 333423 Taiwan Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Chemical Engineering Department School of Engineering Monash University Malaysia Jalan Lagoon Selatan Bandar Sunway Selangor 47500 Malaysia Advanced Engineering Platform School of Engineering Monash University Malaysia Jalan Lagoon Selatan 47500 Bandar Sunway Selangor Malaysia Department of Applied Chemistry Chaoyang University of Technology Taichung 413310 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Zhongli Dist Taoyuan City 320315 Taiwan

To develop the environmental antibacterial membrane, the physical attachments of poly (hexamethylene biguanide) hydrochloride (PHMB) on the cellulose acetate (CA) and regenerated cellulose (RC) electrospun nanofiber membranes were employed. The immobilization of PHMB increased the antibacterial efficacy ( AE , %) of nanofiber membranes from 65.67% to approximately 86.13% for CA-PHMB and from 35.09% to approximately 100% for RC-PHMB. The results of the chemical and physical characteristics indicate that the degree of deacetylation of CA nanofiber, the surface charge of the nanofiber, and the density of PHMB immobilized onto the nanofiber primarily affect the antibacterial efficacy. The use of mathematical models, such as the Temkin equilibrium model for PHMB immobilization and the Monod-type model for the relationship between antibacterial activity and immobilization density of PHMB provides a deeper understanding of the interactions and kinetics involved. The rapid achievement of ∼100% AE after only 10 min of contact with Escherichia coli ( E. coli ) is a notable finding, indicating the quick and efficient antibacterial action of RC-PHMB nanofiber membranes. Furthermore, maintaining approximately 100% AE after 20 days of storage underscores the long-term stability of PHMB immobilized on RC nanofiber membranes. The findings suggest that RC-PHMB holds great promise as an antibacterial material for biomedical applications, food packaging industries, and filtration or treatment of water.

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Artificial intelligence for modelling infectious disease epidemics

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Nature 2025年第8051期638卷 623-635页

作者： Kraemer, Moritz U. G. Tsui, Joseph L.-H. Chang, Serina Y. Lytras, Spyros Khurana, Mark P. Vanderslott, Samantha Bajaj, Sumali Scheidwasser, Neil Curran-Sebastian, Jacob Liam Semenova, Elizaveta Zhang, Mengyan Unwin, H. Juliette T. Watson, Oliver J. Mills, Cathal Dasgupta, Abhishek Ferretti, Luca Scarpino, Samuel V. Koua, Etien Morgan, Oliver Tegally, Houriiyah Paquet, Ulrich Moutsianas, Loukas Fraser, Christophe Ferguson, Neil M. Topol, Eric J. Duchêne, David A. Stadler, Tanja Kingori, Patricia Parker, Michael J. Dominici, Francesca Shadbolt, Nigel Suchard, Marc A. Ratmann, Oliver Flaxman, Seth Holmes, Edward C. Gomez-Rodriguez, Manuel Schölkopf, Bernhard Donnelly, Christl A. Pybus, Oliver G. Cauchemez, Simon Bhatt, Samir Pandemic Sciences Institute University of Oxford Oxford United Kingdom Department of Biology University of Oxford Oxford United Kingdom Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley CA United States UCSF UC Berkeley Joint Program in Computational Precision Health Berkeley CA United States Division of Systems Virology Department of Microbiology and Immunology The Institute of Medical Science The University of Tokyo Tokyo Japan Section of Epidemiology Department of Public Health University of Copenhagen Copenhagen Denmark Oxford Vaccine Group University of Oxford and NIHR Oxford Biomedical Research Centre Oxford United Kingdom Department of Epidemiology and Biostatistics Imperial College London London United Kingdom Department of Computer Science University of Oxford Oxford United Kingdom School of Mathematics University of Bristol Bristol United Kingdom MRC Centre for Global Infectious Disease Analysis School of Public Health Imperial College London London United Kingdom Department of Statistics University of Oxford Oxford United Kingdom Doctoral Training Centre University of Oxford Oxford United Kingdom Institute for Experiential AI Northeastern University MA Boston Thailand Santa Fe Institute Santa Fe NM United States World Health Organization Regional Office for Africa Brazzaville Congo WHO Hub for Pandemic and Epidemic Intelligence Health Emergencies Programme World Health Organization Berlin Germany Centre for Epidemic Response and Innovation (CERI) School for Data Science and Computational Thinking Stellenbosch University Stellenbosch South Africa African Institute for Mathematical Sciences (AIMS) South Africa Muizenberg Cape Town South Africa Genomics England London United Kingdom Scripps Research La Jolla CA United States Department of Biosystems Science and Engineering ETH Zürich Basel Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland The Ethox Centre Nuffield

Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in economics, medicine and social science, have the potential to transform the scope and power of infectious disease epidemiology. Here we consider the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science. We first outline how recent advances in AI can accelerate breakthroughs in answering key epidemiological questions and we discuss specific AI methods that can be applied to routinely collected infectious disease surveillance data. Second, we elaborate on the social context of AI for infectious disease epidemiology, including issues such as explainability, safety, accountability and ethics. Finally, we summarize some limitations of AI applications in this field and provide recommendations for how infectious disease epidemiology can harness most effectively current and future developments in AI. © Springer Nature Limited 2025.

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YTHDF1 differentiates the contributing roles of mTORC1 in aging

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Molecular cell 2025年第11期85卷 2194-2210.e8页

作者： Chenzhong Xu Cong Yu Jie Zhang Zhen Zhang Jin Zhang Yuan Meng Ming Wang Minting Wen Junhao Chen Yuping Ning Xinchun Chen Jinke Gu Wen Su Baohua Liu Shenzhen Key Laboratory for Systemic Aging and Intervention (SKL-SAI) Shenzhen Key Laboratory of Anti-Aging and Regenerative Medicine (SKL-ARM) Guangdong Provincial Key Laboratory of Genome Stability and Disease Prevention Marshall Laboratory of Biomedical Engineering International Cancer Center School of Basic Medical Sciences Shenzhen University Medical School Shenzhen 518055 China. Shenzhen Key Laboratory for Systemic Aging and Intervention (SKL-SAI) Shenzhen Key Laboratory of Anti-Aging and Regenerative Medicine (SKL-ARM) Guangdong Provincial Key Laboratory of Genome Stability and Disease Prevention Marshall Laboratory of Biomedical Engineering International Cancer Center School of Basic Medical Sciences Shenzhen University Medical School Shenzhen 518055 China Shenzhen University-Friedrich Schiller Universität Jena Joint PhD Program Friedrich Schiller Universität Jena 07743 Germany. Department of Physiology Wannan Medical College Wuhu 241002 China. Guangdong Provincial Key Laboratory of Regional Immunity and Diseases School of Basic Medical Sciences Shenzhen University Medical School Shenzhen 518055 China. Shenzhen Key Laboratory for Systemic Aging and Intervention (SKL-SAI) Shenzhen Key Laboratory of Anti-Aging and Regenerative Medicine (SKL-ARM) Guangdong Provincial Key Laboratory of Genome Stability and Disease Prevention Marshall Laboratory of Biomedical Engineering International Cancer Center School of Basic Medical Sciences Shenzhen University Medical School Shenzhen 518055 China. Electronic address: ppliew@***.

The mechanistic target of rapamycin (mTOR) serves as an essential hub in sensing metabolic stress and regulating aging, although the differential contributions of mTOR-regulated protein and cholesterol synthesis are unclear. Post-transcriptional modifications of mRNAs, such as N6-methyladenosine (m6A), occur rapidly in response to acute environmental changes to maintain tissue homeostasis. Here, we showed that loss of YTH m6A RNA-binding protein 1 (YTHDF1) accelerated murine aging. Mechanistically, YTHDF1 is anchored to the lysosome surface by lysosome-associated membrane protein (LAMP2), whereby it recruits tuberous sclerosis complex (TSC2) to inhibit mTOR complex 1 (mTORC1). Ythdf1 loss activated mTORC1-sterol regulatory element-binding protein 2 (SREBP2)-axis-mediated cholesterol biosynthesis but not m6A-reader-regulated protein translation. Rapamycin restored murine healthspan in contrast to the maximum lifespan shortening caused by Ythdf1 depletion. Our data reveal an m6A-independent function of YTHDF1, which differentiates the contributing roles of mTORC1 in the regulation of aging.

关键词： SREBP2 TSC2 YTHDF1 aging m6A mTORC1 rapamycin

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The Role of Synthetic Biology in Atmospheric Greenhouse Gas Reduction: Prospects and Challenges

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BioDesign Research 2020年第1期2020卷 1-8页

作者： Charles DeLisi Aristides Patrinos Michael MacCracken Dan Drell George Annas Adam Arkin George Church Robert Cook-Deegan Henry Jacoby Mary Lidstrom Jerry Melillo Ron Milo Keith Paustian John Reilly Richard J.Roberts Daniel Segrè Susan Solomon Dominic Woolf Stan D.Wullschleger Xiaohan Yang Department of Biomedical Engineering and Program in Bioinformatics College of EngineeringBoston UniversityBoston MA 02215USA The NOVIM Group Kohn HallUC Santa BarbaraCA 93106USA Climate Institute WashingtonDCUSA Department of Energy WashingtonDCUSA Center for Health Law Ethics&Human Rights at the Boston University School of Public HealthSchool of MedicineBoston UniversityUSA Department of Bioengineering University of CaliforniaBerkeley CAUSA Department of Genetics Harvard Medical SchoolCambridge MAUSA School for the Future of Innovation in Society Arizona State UniversityBarrett&O’Connor Washington Center1800 I StreetNWWashingtonDC 20006USA Sloan School of Management MITCambridge MAUSA Department of Chemical Engineering University of WashingtonSeattle WashingtonUSA The Ecosystems Center of the Marine Biological Laboratory in Woods Hole MAUSA Department of Plant and Environmental Sciences Weizmann Institute of ScienceRehovotIsrael Department of Soil and Crop Sciences Colorado State UniversityFort Collins CO 80523USA MIT Joint Program on the Science and Policy of Global Change MITCambridge MAUSA New England Biolabs Beverly MAUSA Department of Biology and Program in Bioinformatics Boston UniversityBoston MA 02215USA Department of Earth Atmospheric and Planetary SciencesMITCambridge MAUSA Soil and Crop Sciences Section School of Integrated Plant SciencesCornell UniversityIthaca NYUSA Environmental Sciences Division Oak Ridge National LaboratoryOak Ridge TNUSA Biosciences Division Oak Ridge National LaboratoryOak RidgeTNUSA

The long atmospheric residence time of CO2 creates an urgent need to add atmospheric carbon drawdown to CO2 regulatory *** and systems biology(SSB),which enables manipulation of cellular phenotypes,offers a powerful approach to amplifying and adding new possibilities to current land management practices aimed at reducing atmospheric *** participants(in attendance:Christina Agapakis,George Annas,Adam Arkin,George Church,Robert Cook-Deegan,Charles DeLisi,Dan Drell,Sheldon Glashow,Steve Hamburg,Henry Jacoby,Henry Kelly,Mark Kon,Todd Kuiken,Mary Lidstrom,Mike MacCracken,June Medford,Jerry Melillo,Ron Milo,Pilar Ossorio,Ari Patrinos,Keith Paustian,Kristala Jones Prather,Kent Redford,David Resnik,John Reilly,Richard ***,Daniel Segre,Susan Solomon,Elizabeth Strychalski,Chris Voigt,Dominic Woolf,Stan Wullschleger,and Xiaohan Yang)identified a range of possibilities by which SSB might help reduce greenhouse gas concentrations and which might also contribute to environmental sustainability and *** include,among other possibilities,engineering plants to convert CO2 produced by respiration into a stable carbonate,designing plants with an increased root-to-shoot ratio,and creating plants with the ability to self-fertilize.A number of serious ecological and societal challenges must,however,be confronted and resolved before any such application can be fully assessed,realized,and deployed.

关键词： Synthetic Roberts enable

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FDG-PET as a pre-operative biomarker for predicting and optimizing response to subcallosal cingulate area deep brain stimulation

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Biological psychiatry 2025年

作者： Gavin J B Elias Sarah A Iskin Michelle E Beyn Uyiosa Omere Sakina J Rizvi Amanda K Ceniti Alexandre Boutet Daphne Voineskos Sidney H Kennedy Andres M Lozano Jürgen Germann Joint Department of Medical Imaging University of Toronto Toronto Canada Division of Neurosurgery Department of Surgery University of Toronto & University Hospital Network Toronto Canada. Department of Psychiatry University Health Network & University of Toronto Toronto Canada. Master of Arts Program in the Social Sciences (MAPSS) University of Chicago Chicago USA. Department of Psychiatry University Health Network & University of Toronto Toronto Canada Krembil Brain Institute Toronto Canada. Division of Neurosurgery Department of Surgery University of Toronto & University Hospital Network Toronto Canada Krembil Brain Institute Toronto Canada Center for Advancing Neurotechnological Innovation to Application (CRANIA) Toronto Canada Institute of Biomedical Engineering University of Toronto Toronto Canada. Electronic address: jurgen.germann@uhn.ca.

BACKGROUND:Deep brain stimulation targeting the subcallosal cingulate area (SCC-DBS) has emerged as a promising therapy for treatment-resistant depression (TRD). However, only half to two thirds of patients experience meaningful clinical response, highlighting the need for biomarkers that could help to optimize SCC-DBS outcomes. Our group previously showed that a support vector machine (SVM) incorporating pre-operative FDG-PET glucose metabolism values from frontal pole, anterior cingulate cortex, and temporal pole could retrospectively classify treatment response in 21 TRD patients with 81.0% accuracy. Here, we assessed the out-of-sample performance and wider applicability of this putative biomarker. METHODS:Baseline FDG-PET data were preprocessed and fed into an SVM classifier. This model, which employed the three aforementioned regional inputs, was trained and tuned using the familiar 21-patient cohort and tested on an unseen TRD validation set (n=35). Within the combined cohort, we also explored glucose metabolism's potential influence on previously demonstrated relationships between white matter tract stimulation and clinical outcome. RESULTS:Our model classified out-of-sample response status with 77.1% accuracy (80.0% precision; 87.0% recall; 0.83 F1 score).This performance proved statistically significant in permutation testing (p=0.008) and exceeded that of an alternative, clinically informed SVM. In addition, we found that patients with lower temporal pole metabolism showed stronger coupling between uncinate fasciculus engagement (approximated using electrode localization and activation modelling) and clinical outcome (p=0.027). CONCLUSIONS:These results corroborate the validity of FDG-PET models as a tool for predicting SCC-DBS outcomes and underscore their value in refining patient selection and further personalizing DBS treatment.

关键词： deep brain stimulation depression machine learning positron emission tomography prediction subcallosal cingulate

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Somatic cell reprogramming from different origins and donors into iPSC, with four factors OSKM using viral Sendai vectors

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Stem Cell Research 2025年 86卷 103736页

作者： Desprat, Romain Magnano, Mikael Bensadoun, Paul Soubeyrand, Mathis Callier, Patrick Alle, Quentin Bailly, Anaelle Gantenbein, Benjamin Laagland, Lisanne T. Tryfonidou, Mariana Guicheux, Jerome Camus, Anne Milhavet, Ollivier Lemaitre, Jean-Marc SAFE-iPSC Facility INGESTEM CHU de Montpellier IRMB Montpellier France IRMB Univ Montpellier INSERM Montpellier France Laboratoire de Génétique Chromosomique et Moléculaire plateau technique de Biologie CHU DIJON France Tissue Engineering for Orthopaedics and Mechanobiology Bone and Joint Program Department for BioMedical Research (DBMR) Faculty of Medicine University of Bern Switzerland Department of Orthopaedic Surgery and Traumatology Inselspital Bern University Hospital Medical Faculty University of Bern Freiburgstrasse 3 Bern CH-3010 Switzerland Department of Clinical Sciences Faculty of Veterinary Medicine Utrecht University Utrecht Netherlands Nantes Université Oniris CHU Nantes Inserm Regenerative Medicine and Skeleton RMeS UMR 1229 Nantes 44000 France IRMB Univ Montpellier CNRS Montpellier France

Notocordal-like cells (NLCs) produced from hiPSCs is considered as a promising candidate for cell-based regenerative therapies to treat intervertebral disk degeneration (IVDD). However, OCT4, SOX2, KLF4, C-MYC (OSKM) reprogramming into iPSC was described to maintain (epi)genomic hallmarks of the origin tissue impacting differentiation abilities. In this context, we produced a three donors-derived unique collection of hiPSCs reprogrammed with OSKM, from two cell types, PBMC and Tie2+ nucleus pulposus-progenitor cells (NPPCs). This collection will allow to further evaluate whether the production of NLCs from iPSCs derived from NPPCs or from PBMC would be the most relevant strategy for hiPSC-based IVDD therapy. © 2025 The Author(s)

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Spatiotemporal development of expanding bacterial colonies driven by emergent mechanical constraints and nutrient gradients

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Nature communications 2025年第1期16卷 4878页

作者： Harish Kannan Hui Sun Mya Warren Tolga Çağlar Pantong Yao Brian R Taylor Kinshuk Sahu Daotong Ge Matteo Mori David Kleinfeld JiaJia Dong Bo Li Terence Hwa Department of Mathematics University of California San Diego La Jolla CA USA. Department of Mathematics and Statistics California State University Long Beach CA USA. paul.sun@csulb.edu. Department of Physics University of California San Diego La Jolla CA USA. San Diego Supercomputer Center University of California San Diego La Jolla CA USA. Neurosciences Graduate Program University of California San Diego La Jolla CA USA. Joint BioEnergy Institute Emeryville CA USA and Systems Biology Department Sandia National Laboratories Livermore CA USA. Department of Bioengineering University of California San Diego La Jolla CA USA. Department of Biomedical Engineering Duke University Durham NC USA. Department of Neurobiology University of California San Diego La Jolla CA USA. Department of Physics & Astronomy Bucknell University Lewisburg PA USA. jiajia.dong@bucknell.edu. Department of Mathematics and Ph.D. Program in Quantitative Biology University of California San Diego La Jolla CA USA. bli@ucsd.edu. Department of Physics University of California San Diego La Jolla CA USA. hwa@ucsd.edu.

Bacterial colonies growing on solid surfaces can exhibit robust expansion kinetics, with constant radial growth and saturating vertical expansion, suggesting a common developmental program. Here, we study this process for Escherichia coli cells using a combination of modeling and experiments. We show that linear radial colony expansion is set by the verticalization of interior cells due to mechanical constraints rather than radial nutrient gradients as commonly assumed. In contrast, vertical expansion slows down from an initial linear regime even while radial expansion continues linearly. This vertical slowdown is due to limitation of cell growth caused by vertical nutrient gradients, exacerbated by concurrent oxygen depletion. Starvation in the colony interior results in a distinct death zone which sets in as vertical expansion slows down, with the death zone increasing in size along with the expanding colony. Thus, our study reveals complex heterogeneity within simple monoclonal bacterial colonies, especially along the vertical dimension. The intricate dynamics of such emergent behavior can be understood quantitatively from an interplay of mechanical constraints and nutrient gradients arising from obligatory metabolic processes.

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