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Cord blood cytokines/chemokines linked to delays in toddlers exposed to SARS-CoV-2 prenatally

Pediatric Research 2025年 1-10页

作者： Renata Castro Kehdi Maria Francilene Souza Silva Letícia Régia Lima Cavalcante Natália Gindri Fiorenza Marylane Viana Isabel Bessa Leite Adriano José Maia Chaves Filho Danielle S. Macedo Bruno Riccelli dos Santos Silva Débora Ferreira de Assis Paulo Cesar Cortez Deniele Lós Bezerra Pedro Crosara Motta João Alexandre Lobo Marques Érica Correia Allysson Allan Farias Fábio Miyajima Antônio Lúcio Teixeira Moriah E. Thomason Francisco Herlânio Costa Carvalho Neuropsychopharmacology and Translational Psychiatry Laboratory Drug Research and Development Center Department of Physiology and Pharmacology Faculty of Medicine Federal University of Ceará Ceará Brazil Department of Teleinformatics Engineering Federal University of Ceara Ceara Brazil Faculty of Education and Integrated Sciences of Crateús State University of Ceará (FAEC/UECE) Ceará Brazil Biomedical Engineering Program COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Laboratory of Applied Neurosciences—LAN/USJ University of Saint Joseph Macao China Early Treatment and Stimulation Center (NUTEP) Ceará Brazil Postgraduate Program in Translational Medicine Faculty of Medicine Federal University of Ceará Ceará Brazil Molecular and Epidemiological Analysis Laboratory Oswaldo Cruz Foundation (Fiocruz Ceará) Ceará Brazil Biggs Institute The University of Texas Health Science Center at San Antonio San Antonio TX USA Departments of Child and Adolescent Psychiatry and Population Health New York University Grossman School of Medicine New York NY USA Assis Chateaubriand Maternity Public Hospital (MEAC) Faculty of Medicine Federal University of Ceara Ceara Brazil

BackgroundMaternal infections are linked to neurodevelopmental impairments, highlighting the need to investigate SARS-CoV-2-induced immune *** study aimed to evaluate the impact of maternal infection on neurodevelopment and investigate whether cytokine and chemokine profiles predict delays at 24 *** in Brazil (January 2021–March 2022), this follow-up study included 18 SARS-CoV-2 positive pregnant women at 35–37 weeks’ gestation, 15 umbilical cord blood samples, and blood samples from 15 children at 6 months and 14 at 24 months. Developmental delay was defined using the Bayley Scales of Infant and Toddler Development, Third Edition, with scores below 90 in cognitive, communication, or motor *** 6 months, 33.3% of infants exhibited cognitive delays, 20% communication delays, and 40% motor delays, increasing to 35.71%, 64.29%, and 57.14% at 24 months, respectively. Elevated interferon-gamma and tumor necrosis factor-alpha in cord blood correlated with cognitive delays, while interleukin (IL)-6, IL-8, IL-17, and IL-1β were associated with motor delays. Increased C-X-C motif chemokine ligand 10 and other cytokines were associated with communication *** SARS-CoV-2 may impact infant neurodevelopment, as early cytokine elevations correlate with delays, highlighting the importance of early monitoring and interventions to reduce long-term *** SARS-COV-2 infection in pregnant women is linked to developmental delays in toddlers, with cytokine and chemokine changes associated with neurodevelopmental outcomes at 24 *** study shows the long-term impact of maternal SARS-COV-2 infection on child development, highlighting inflammatory markers like IFN-γ, TNFα, IL-6, IL-8, IL-17, IL-1β, and *** specific cytokines correlating with cognitive, communication, and motor delays suggests potential biomarkers for early *** in Fortaleza, Brazil, the study em

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A hybrid semi-Lagrangian cut cell method for advection-diffusion problems with robin boundary conditions in moving domains

arXiv

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arXiv 2021年

作者： Barrett, Aaron Fogelson, Aaron L. Griffith, Boyce E. Department of Mathematics University of Utah Salt Lake CityUT United States Departments of Mathematics and Bioengineering University of Utah Salt Lake CityUT United States Departments of Mathematics Applied Physical Sciences and Biomedical Engineering University of North Carolina Chapel HillNC United States Carolina Center for Interdisciplinary Applied Mathematics University of North Carolina Chapel HillNC United States Computational Medicine Program University of North Carolina Chapel HillNC United States McAllister Heart Institute University of North Carolina Chapel HillNC United States

We present a new discretization approach to advection-diffusion problems with Robin boundary conditions on complex, time-dependent domains. The method is based on second order cut cell finite volume methods introduced by Bochkov et al. [8] to discretize the Laplace operator and Robin boundary condition. To overcome the small cell problem, we use a splitting scheme along with a semi-Lagrangian method to treat advection. We demonstrate second order accuracy in the L1, L2, and L∞norms for both analytic test problems and numerical convergence studies. We also demonstrate the ability of the scheme to convert one chemical species to another across a moving boundary. © 2021, CC BY-SA.

关键词： Advection

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New potent epitopes from Leptospira borgpetersenii for the stimulation of humoral and cell-mediated immune responses: Experimental and theoretical studies

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Informatics in Medicine Unlocked 2021年 25卷

作者： Tansiri, Yada Sritrakul, Tepyuda Saparpakorn, Patchreenart Boondamnern, Timporn Chimprasit, Aunlika Sripattanakul, Sineenat Hannongbua, Supa Prapong, Siriwan Center for Advanced Studies for Agriculture and Food (CASAF) Kasetsart University Bangkok 10900 Thailand Faculty of Medicine King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Faculty of Veterinary Medicine Kasetsart University Kamphaeng Sean Campus Nakhon Pathom 73140 Thailand Department of Chemistry Faculty of Science Kasetsart University Bangkok 10900 Thailand Department of Physiology Faculty of Veterinary Medicine Kasetsart University Bangkok 10900 Thailand The Interdisciplinary Graduate Program in Genetic Engineering The Graduate School Kasetsart University Bangkok 10900 Thailand Akkhraratchakumari Veterinary College Walailak University. 222 Thaiburi Thasala District Nakhon Si Thammarat 80160 Thailand

The rhKU_Sej_LRR_2271 protein is introduced as one of the leptospiral vaccine candidates since it contains the predicted immunogenic epitopes. The in-silico sequence and structural based analysis have been used in this study to analyze MHC class I and class II-restricted epitopes of the protein. Six epitope prediction programs were employed, which the epitopes with high prediction scores from each program were aligned. The 21 of potentially unrestrained epitopes with prediction scores above the cut-off value from at least two prediction programs were selected. The 3D-molecular modeling, docking, and molecular dynamic simulation were performed to evaluate the affinity binding between peptide-MHC complex and T-cell receptor. One promising epitope, which is 171-LLFLPLIKI, showed the potency in binding to both MHC class I and II alleles. Two newly designed peptides containing epitopes which can bind to over 3 of MHC alleles, LL17:171-LLFLPLIKILYVDRNKL-187 and SL19:209-SLNSGIKALPFNYEKLVNL-227, significantly increased interferon-gamma (IFNg)-producing specific T-cell responses in the rhKU_Sej_LRR_2271 immunized rabbits compared to nonimmunized rabbits. The LL17 peptide can also induce interferon-gamma-producing specific CD4⁺ T-cell responses in the immunized rabbits. For the evaluation of humoral immune responses, the immunized rabbits have a significantly greater amount of specific IgG in plasma than the nonimmunized rabbits. Ex-vivo study of T-cell responses in animal model using flow cytometry confirmed an accomplishment of the theoretically in-silico analysis for discovering potential T-cell epitopes of the protein. The results show that the rhKU_Sej_LRR_2271 protein containing promiscuous T-cell epitopes, which can induce both humoral and cell-mediated immune responses, is a prospective protein candidate for leptospiral vaccine development. © 2021 The Authors

关键词： Epitopes Leptospiral vaccine MHC Molecular docking Molecular dynamic simulation T-cell receptor (TCR)

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Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3 — Ex vivo imaging: data processing, comparisons with microscopy, and tractography

arXiv

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arXiv 2024年

作者： Schilling, Kurt G. Howard, Amy F.D. Grussu, Francesco Ianus, Andrada Hansen, Brian Barrett, Rachel L.C. Aggarwal, Manisha Michielse, Stijn Nasrallah, Fatima Syeda, Warda Wang, Nian Veraart, Jelle Roebroeck, Alard Bagdasarian, Andrew F. Eichner, Cornelius Sepehrband, Farshid Zimmermann, Jan Soustelle, Lucas Bowman, Christien Tendler, Benjamin C. Hertanu, Andreea Jeurissen, Ben Verhoye, Marleen Frydman, Lucio van de Looij, Yohan Hike, David Dunn, Jeff F. Miller, Karla Landman, Bennett A. Shemesh, Noam Anderson, Adam McKinnon, Emilie Farquharson, Shawna Dell' Acqua, Flavio Pierpaoli, Carlo Drobnjak, Ivana Leemans, Alexander Harkins, Kevin D. Descoteaux, Maxime Xu, Duan Huang, Hao Santin, Mathieu D. Grant, Samuel C. Obenaus, Andre Kim, Gene S. Wu, Dan Le Bihan, Denis Blackband, Stephen J. Ciobanu, Luisa Fieremans, Els Bai, Ruiliang Leergaard, Trygve B. Zhang, Jiangyang Dyrby, Tim B. Johnson, G. Allan Cohen-Adad, Julien Budde, Matthew D. Jelescu, Ileana O. Radiology and Radiological Sciences Vanderbilt University Medical Center NashvilleTN United States Vanderbilt University Institute of Imaging Science Vanderbilt University NashvilleTN United States Department of Bioengineering Imperial College London London United Kingdom FMRIB Centre Wellcome Centre for Integrative Neuroimaging Nuffield Department of Clinical Neurosciences University of Oxford Oxford United Kingdom Radiomics Group Vall d’Hebron Institute of Oncology Vall d’Hebron Barcelona Hospital Campus Barcelona Spain Queen Square MS Centre Queen Square Institute of Neurology Faculty of Brain Sciences University College London London United Kingdom Champalimaud Research Champalimaud Foundation Lisbon Portugal Center of Functionally Integrative Neuroscience Aarhus University Aarhus Denmark Department of Neuroimaging Institute of Psychiatry Psychology and Neuroscience King's College London London United Kingdom NatBrainLab Department of Forensics and Neurodevelopmental Sciences Institute of Psychiatry Psychology and Neuroscience King's College London London United Kingdom Russell H. Morgan Department of Radiology and Radiological Science Johns Hopkins University School of Medicine BaltimoreMD United States Maastricht University Medical Center Maastricht Netherlands The Queensland Brain Institute The University of Queensland Queensland Australia Melbourne Neuropsychiatry Centre The University of Melbourne ParkvilleVIC Australia Department of Radiology and Imaging Sciences Indiana University IN United States Stark Neurosciences Research Institute Indiana University School of Medicine IN United States Center for Biomedical Imaging NYU Grossman School of Medicine New YorkNY United States Faculty of psychology and Neuroscience Maastricht University Maastricht Netherlands Department of Chemical & Biomedical Engineering FAMU-FSU College of Engineering Florida State University TallahasseeFL United States Center for Interdisciplinary Magnetic Res

Preclinical diffusion MRI (dMRI) has proven value in methods development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. While dMRI enables in vivo non-invasive characterization of tissue, ex vivo dMRI is increasingly being used to probe tissue microstructure and brain connectivity. Ex vivo dMRI has several experimental advantages that facilitate high spatial resolution and high signal-to-noise ratio (SNR) images, cutting-edge diffusion contrasts, and direct comparison with histological data as a methodological validation. However, there are a number of considerations that must be made when performing ex vivo experiments. The steps from tissue preparation, image acquisition and processing, and interpretation of results are complex, with many decisions that not only differ dramatically from in vivo imaging of small animals, but ultimately affect what questions can be answered using the data. This work concludes a 3-part series of recommendations and considerations for preclinical dMRI. Herein, we describe best practices for dMRI of ex vivo tissue, with a focus on image pre-processing, data processing and model fitting, and tractography. In each section, we attempt to provide guidelines and recommendations, but also highlight areas for which no guidelines exist (and why), and where future work should lie. We end by providing guidelines on code sharing and data sharing, and point towards open-source software and databases specific to small animal and ex vivo imaging. © 2024, CC BY.

关键词： Data Sharing

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Preventing bad behavior in academia

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四川生理科学杂志 2024年第7期46卷 1615-1615页

作者： Rayane da Cruz Albino Faculty of Pharmacy Federal University of Rio de Janeiro Rio de Janeiro RJ Brazil. Department of Host-Microbe Interactions St. Jude Children’s Research Hospital Memphis TN USA. School of the Environment The University of Queensland Whiterock QLD Australia. KU Leuven Ghent Belgium. Laboratory for Computational Social Systems Indraprastha Institute of Information Technology Delhi New Delhi India. University Medical College Shantou Guangdong China. Department of Ecoscience Aarhus Universitet Aarhus Denmark. Institute of Environment and Sustainable Development Banaras Hindu University Varanasi Uttar Pradesh India. Department of Medical Parasitology Faculty of Medicine and Health Sciences Sana’a University Sana’a Yemen and Tropical Disease Research Center Faculty of Medicine and Health Sciences University of Science and Technology Sana’a Yemen. Department of Medicine University of Montreal Montreal QC Canada. Electricity Infrastructure and Buildings Division Pacific Northwest National Laboratory Portland OR USA. Department of Biological Sciences University of New Brunswick Saint John Saint John NB Canada. Department of Biomedical Engineering The University of Melbourne Melbourne VIC Australia. Vagelos Molecular Life Sciences Program University of Pennsylvania Philadelphia PA USA. Doctoral Program in Neurobiology and Behavior Columbia University New York NY USA. Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York NY USA. Department of Engineering University of Cambridge Cambridge Cambridgeshire UK. Department of Geography Liverpool John Moores University Liverpool UK. Department of Biology Stanford University Stanford CA USA. Department of Psychology University of Nicosia Nicosia Cyprus. Department of Global Ecology Carnegie Institution for Science Stanford CA USA. Research and Support Division Stellenbosch University Cape Town South Africa.

We gave young scientists this prompt:Describe one change to scientific policy or culture that would substantially decrease incidents of scientific misconduct or other unethical behavior.

关键词： behavior. prompt culture

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人工智能赋能癌症免疫治疗——创新探索与未来机遇（英文）

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engineering 2025年第1期 12-16页

作者： Wei Xiang Lu Yu Xiaoyuan Chen Marco J.Herold Australian Centre for Artificial Intelligence in Medical Innovation La Trobe University School of Computing Engineering and Mathematical Sciences La Trobe University Department of Diagnostic Radiology Yong Loo Lin School of Medicine National University of Singapore Department of Chemical and Biomolecular Engineering College of Design and Engineering National University of Singapore Department of Biomedical Engineering College of Design and Engineering National University of Singapore Department of Pharmacy and Pharmaceutical Sciences Faculty of Science National University of Singapore Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Nanomedicine Translational Research Program Yong Loo Lin School of Medicine National University of Singapore Theranostics Center of Excellence(TCE) Yong Loo Lin School of Medicine National University of Singapore Institute of Molecular and Cell Biology Agency for Science Technology and Research(A*STAR) Olivia Newton-John Cancer Research Institute School of Cancer Medicine La Trobe University The Walter and Eliza Hall Institute of Medical Research Department of Medical Biology University of Melbourne

1. Introduction Cancer continues to be a major cause of global mortality rates, with conventional treatments such as chemotherapy and radiotherapy exhibiting inconsistent efficacy, high costs, and considerable side effects. Over the past decade, a promising alternative has emerged: cancer immunotherapy, which leverages the body's immune system to identify and eradicate cancer cells [1].

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The effectivity of Indonesian propolis from Tetragonula biroi bee as an antifungal agent for Candida sp. and Cryptococcus neoformans

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AIP Conference Proceedings 2021年第1期2344卷 040013页

作者： Robiatul Adawiyah Alifa Husnia AlHaq Davita Kristabel Mandala Muhammad Sahlan Diah Kartika Pratami Siti Farida Department of Parasitology Faculty of Medicine Universitas Indonesia Jakarta 10430 Indonesia Study Program of Clinical Parasitology Faculty of Medicine Universitas Indonesia Jakarta 10430 Indonesia Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Depok 16424 West Java Indonesia Undergraduate programm Faculty of Medicine Universitas Indonesia Jakarta 10430 Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Indonesia Depok 16424 West Java Indonesia Lab of Pharmacognosy and Phytochemistry Faculty of Pharmacy Pancasila University Jakarta 12640 Indonesia Department of Pharmacy Faculty of Medicine Universitas Indonesia Jakarta 10430 Indonesia

In recent years, there has been an increase in the incidence of fungal infections accompanied by a decrease in susceptibility to fluconazole as one of the drug choices for fungal infections. So that it needs to be considered the existence of an alternative drug that is effective and also expected to have a minimal side effect, one of which is Propolis. This research was done to determine the effectivity of Indonesian Propolis from Tetragonula biroi bee on the growth of Candida sp. and Cryptococcus neoformans. An experimental study to test the susceptibility of Propolis using disc diffusion technique performed on six types of fungi, e.g. Candida albicans, Candida glabrata, Candida parapsilosis, Candida krusei, Candida tropicalis, dan Cryptococcus neoformans. The samples tested were Indonesian propolis emulsion from Tetragonula biroi bee with a concentration of 10 mg/ml, 50 mg/ml, and 70 mg/ml. The sample selection based on the result of “Exploration of Antifungal Potential of Indonesian Propolis from Tetragonula biroi Bee“ from the faculty of engineering, University of Indonesia. Indonesian Propolis emulsion from Tetragonula biroi bee can inhibit the growth of Candida sp., especially Candida glabrata and Candida krusei, and also Cryptococcus neoformans with an optimum concentration of 10 mg/ml. The lower concentration than 10 mg/ml of Indonesian Propolis emulsion from Tetragonula biroi bee could be considered to provide more optimal results.

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A Nodal Immersed Finite Element-Finite Difference Method

arXiv

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arXiv 2021年

作者： Wells, David R. Vadala-Roth, Ben Lee, Jae H. Griffith, Boyce E. Department of Mathematics University of North Carolina Chapel HillNC United States Westborough MA United States Department of Mechanical Engineering Institute for Computational Medicine Johns Hopkins University BaltimoreMD United States Department of Mathematics Applied Physical Sciences and Biomedical Engineering University of North Carolina Chapel HillNC United States Carolina Center for Interdisciplinary Applied Mathematics University of North Carolina Chapel HillNC United States Computational Medicine Program University of North Carolina Chapel HillNC United States McAllister Heart Institute University of North Carolina Chapel HillNC United States Center for Drug Evaluation and Research U.S. Food and Drug Administration Silver SpringMD United States

The immersed finite element-finite difference (IFED) method is a computational approach to modeling interactions between a fluid and an immersed structure. The IFED method uses a finite element (FE) method to approximate the stresses, forces, and structural deformations on a structural mesh and a finite difference (FD) method to approximate the momentum and enforce the incompressibility of the entire fluid-structure system on a Cartesian grid. The fundamental approach used by this method follows the immersed boundary framework for modeling fluid-structure interaction (FSI), in which a force spreading operator prolongs structural forces to a Cartesian grid, and a velocity interpolation operator restricts a velocity field defined on that grid back onto the structural mesh. With an FE structural mechanics framework, force spreading first requires that the force itself be projected onto the finite element space. Similarly, velocity interpolation requires projecting velocity data onto the FE basis functions. Consequently, evaluating either coupling operator requires solving a matrix equation at every time step. Mass lumping, in which the projection matrices are replaced by diagonal approximations, has the potential to accelerate this method considerably. This paper provides both numerical and computational analyses of the effects of this replacement for evaluating the force projection and for the IFED coupling operators. Constructing the coupling operators also requires determining the locations on the structure mesh where the forces and velocities are sampled. Here we show that sampling the forces and velocities at the nodes of the structural mesh is equivalent to using lumped mass matrices in the IFED coupling operators. A key theoretical result of our analysis is that if both of these approaches are used together, the IFED method permits the use of lumped mass matrices derived from nodal quadrature rules for any standard interpolatory element. This is different from s

关键词： Fluid structure interaction

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Expanded Diameter of Coronary Metal Stent: Simulation and Experiment

Expanded Diameter of Coronary Metal Stent: Simulation and Ex...

引用

International Conference on Bioinformatics, Biotechnology, and biomedical engineering - Bioinformatics and biomedical engineering (BioMIC)

作者： Alva Edy Tontowi Ogy Satria Ramadhani Sukiman Nurul Aulia Dewi Nahar Taufiq Department of Mechanical and Industrial Engineering Universitas Gadjah Mada Yogyakarta Indonesia Department of Mechanical Universitas Khairun Ternate Indonesia Department of Mechanical and Industrial Engineering Faculty of Engineering Yogyakarta Indonesia Biomedical Engineering Biotechnology Program Study Universitas Gadjah Mada Yogyakarta Indonesia

The following topics are dealt with: biomedical materials; diseases; finite element analysis; medical image processing; medical disorders; medical signal processing; electroencephalography; cellular biophysics; biolog... 详细信息

ISBN: (数字)9781728147116

ISBN: (纸本)9781728147123

关键词： Stress Numerical models Simulation Hydraulic systems Steel Scanning electron microscopy

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Yogurt-inspired hybrid membrane vesicles for the prevention and treatment of Helicobacter pylori infection

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Cell Biomaterials 2025年第4期1卷

作者： Lujie Liu Yiming Guo Baikui Wang Yuanwei Pan Chenchen Zhao Zhiping Xiao Yu Liu Guocan Yu Xiaoyuan Chen Lang Rao Institute of Chemical Biology Shenzhen Bay Laboratory Shenzhen 518132 China Department of Diagnostic Radiology Yong Loo Lin School of Medicine and Faculty of Engineering National University of Singapore Singapore 119074 Singapore College of Animal Science Zhejiang University Hangzhou 310058 China Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology Department of Chemistry Tsinghua University Beijing 100084 China Clinical Imaging Research Centre Centre for Translational Medicine Yong Loo Lin School of Medicine National University of Singapore Singapore 117599 Singapore Nanomedicine Translational Research Program Yong Loo Lin School of Medicine National University of Singapore Singapore 117597 Singapore Theranostics Center of Excellence (TCE) Yong Loo Lin School of Medicine National University of Singapore Singapore 138667 Singapore Institute of Molecular and Cell Biology Agency for Science Technology and Research (A∗STAR) Singapore 138673 Singapore Department of Chemical and Biomolecular Engineering College of Design and Engineering National University of Singapore Singapore 117575 Singapore Department of Biomedical Engineering College of Design and Engineering National University of Singapore Singapore 117575 Singapore Department of Pharmacy and Pharmaceutical Sciences Faculty of Science National University of Singapore Singapore 117544 Singapore

Helicobacter pylori ( H. pylori ) infection is a critical initiating factor in numerous gastrointestinal diseases. Here, we present yogurt-inspired hybrid membrane vesicles (hMVs) engineered by fusing bacterial outer membrane vesicles (OMVs) with modified milk fat globule membrane vesicles (MMVs) to prevent and treat H. pylori infection. The hMVs function as binding site competitors, reducing bacterial adhesion while regulating epithelial integrity and immune responses. This dual mechanism synergistically inhibits H. pylori infection and promotes gastric epithelial repair. In vitro , hMVs demonstrated remarkable efficacy in accelerating scratch-wound healing, enhancing lipid raft formation, increasing tight junction protein ZO-1 expression, and promoting macrophage phagocytosis of apoptotic epithelial cells. In mouse models for both H. pylori prevention and treatment, oral administration of hMVs effectively reduced H. pylori loads by 86% and 66%, respectively. Additionally, this treatment mitigated inflammatory factor secretion, decreased neutrophil recruitment, and preserved the abundance of beneficial probiotics in the stomach.

关键词： Helicobacter pylori infection drug delivery nanomedicine extracellular vesicles nanobiotechnology

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