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Genetically Engineered Mouse Models for Alzheimer Disease and Frontotemporal Dementia: New Insights from Single-Cell and Spatial Transcriptomics

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The American journal of pathology 2024年

作者： Yuanpu Chiu Shangzhou Xia Haowen Qiao Zhen Zhao Department of Physiology and Biophysics Center for Neurodegeneration and Regeneration Zilkha Neurogenetic Institute Keck School of Medicine University of Southern California Los Angeles California Neuromedicine PhD Program Programs in Biomedical and Biological Sciences (PIBBS) Keck School of Medicine University of Southern California Los Angeles California. Neuroscience Graduate Program University of Southern California Los Angeles California. Department of Physiology and Biophysics Center for Neurodegeneration and Regeneration Zilkha Neurogenetic Institute Keck School of Medicine University of Southern California Los Angeles California. Neuromedicine PhD Program Programs in Biomedical and Biological Sciences (PIBBS) Keck School of Medicine University of Southern California Los Angeles California Neuroscience Graduate Program University of Southern California Los Angeles California. Electronic address: zzhao@usc.edu.

Neurodegenerative diseases, including Alzheimer disease, frontotemporal dementia, Parkinson disease, Huntington disease, and amyotrophic lateral sclerosis, are often casually linked to protein aggregation and inclusion. As the origins of those proteinopathies have been biochemically traced and genetically mapped, genetically engineered animal models carrying the specific mutations or variants are widely used for investigating the etiology of these diseases, as well as for testing potential therapeutics. This article focuses on the mouse models of Alzheimer disease and closely related frontotemporal dementia, particularly the ones that have provided most valuable knowledge, or are in a trajectory of doing so. More importantly, some of the major findings from these models are summarized, based on the recent single-cell transcriptomics, multiomics, and spatial transcriptomics studies. While no model is perfect, it is hoped that the new insights from these models and the practical use of these models will continue to help to establish a path forward.

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Maternal prenatal stress modifies the cargo of circulating small extracellular vesicles and their biodistribution to the placenta and fetus

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Placenta 2024年 153卷 e32-e32页

作者： Luis Federico Batiz Mario Sánchez-Rubio Lorena Abarzúa-Catalán Ana del Valle Maxs Méndez-Ruette Natalia Salazar Jacinta Sigala Soledad Sandoval María Inés Godoy Alejandro Luarte Lara J. Monteiro Mahesh A. Choolani Úrsula Wyneken Program in Neuroscience Center for Biomedical Research and Innovation (CiiB) Universidad de los Andes Santiago Chile National University of Singapore Singapore PhD Program in Biomedicine Facultad de Medicina Universidad de los Andes Santiago Chile IMPACT Center of Interventional Medicine for Precision and Advanced Cellular Therapy Chile Facultad de Medicina Universidad de los Andes Santiago Chile

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CuO NWs boosted triboelectric microfluidic nanosensor functionalized by collagen-protein interactions for real-time platelet count monitoring

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Chemical Engineering Journal 2024年 490卷

作者： Lin, Jia-Cheng Kaswan, Kuldeep Chatterjee, Subhodeep Wu, Yu-Wen Kumar Sharma, Manish Ranjan, Ashok Roy Barman, Snigdha Lin, Yu-Zih Burnouf, Thierry Boireau, Wilfrid Lu, Ming-Yen Tu, Yong-Kwang Su, I-Chang Wu, Ping-Hsiu Lin, Zong-Hong Fan, Yu-Jui School of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Taipei Neuroscience Institute Taipei Medical University Taipei11031 Taiwan Department of Biomedical Engineering National Taiwan University Taipei11031 Taiwan International Intercollegiate PhD Program National Tsing Hua University Hsinchu30013 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu30013 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering Taipei Medical University Taipei11031 Taiwan Department of Material Science and Engineering National Tsing Hua University Hsinchu30013 Taiwan Institute of Biomedical Engineering National Tsing Hua University Hsinchu30013 Taiwan International PhD Program in Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Université de Franche-Comté CNRS Institut FEMTO-ST BesançonF-25030 France Department of Neurosurgery Shuang Ho Hospital Taipei Medical University New Taipei City23561 Taiwan Department of Surgery School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Radiology School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Radiation Oncology Taipei Medical University Hospital Taipei11031 Taiwan Center for Precision Health and Quantitative Sciences Taipei Medical University Hospital Taipei 11031 Taiwan

Blood platelet count significantly affects the development of severe conditions like myocardial infarction, peripheral arterial ischemia, respiratory compromise, stroke, diabetes, coronavirus disease 2019 (COVID-19), along with chemotherapy patients and those suffering cardiovascular diseases (CVDs). These conditions necessitate frequent monitoring of platelet counts to guide diagnostic and therapeutic decisions. However, existing techniques are relatively time-consuming, lack of accuracy and require precise operation. The emergence of these severe diseases underscored the need to develop advanced platelet count-monitoring techniques which are rapid, highly precise, and conveniently portable for point-of-care applications. In this study, we emphasized the development of a triboelectric microfluidic nanosensor (TMNS) for platelet quantification through the assessment of flow resistance. The functionality of TMNS device is based on immobilization of platelets on a collagen layer coated inside a microfluidic channel. The triboelectric voltage output is measured as a detection signal of the flow resistance and is enhanced by incorporating high surface area copper oxide nanowires (CuO NWs) on the interior of copper tubes. These copper tubes serve as terminal electrodes and for flow guiding. The flow resistance of plasma solutions is elevated when the platelet concentration increases due to heightened adherence of platelets onto the collagen layer. Variations in flow resistance induce alterations in contact electrification, causing changes in output voltage at load terminals. Fine-tuning of the TMNS device was achieved by optimizing the channel width and length, flowing liquid viscosity, and voltage measurement technique. Platelet quantification sensing data were acquired through the combination of platelet-rich plasma (PRP) and platelet-poor plasma (PPP) solutions. The described device exhibits promising capabilities for platelet-count monitoring in whole-blood samples c

关键词： Copper oxides

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Network analysis of stress response vulnerability in a mouse model of major depressive disorder

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neuroscience Applied 2024年 3卷

作者： A. Viglione C. Delli Colli F. Marsili S. Poggini T.M. Milewki K.M. Mahach V. Manzi A. Poleggi J.P. Curley I. Branchi Istituto Superiore di Sanità Center for Behavioral Sciences and Mental Health Rome Italy Sapienza University of Rome PhD program in Pharmacology and Toxicology Rome Italy University of Texas at Austin Psychology Department Austin United States Istituto Superiore di Sanità Department of Cell Biology and Neuroscience Rome Italy

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“Transcranial Direct Current Stimulation and Dual-Task activity in Parkinson's disease" -A pilot study-

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Parkinsonism & Related Disorders 2025年 134卷 107566-107566页

作者： P. Antoniotti E. Arrigoni G. Gilardone M. Ranzani L. Chiveri M. Filareti F. Pesce E. Judica M. Ranieri L. Veronelli M. Feligioni M. Corbo A. Pisoni L. Pantoni Department of Neurorehabilitation Sciences Casa di Cura IGEA via Dezza 48 20144 Milano Italy PhD program in Neuroscience School of Medicine and Surgery University of Milano-Bicocca Via Cadore 48 20900 Monza Italy Department of Psychology University of Milano-Bicocca Piazza dell’Ateneo Nuovo 1 20126 Milano Italy

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Multivariate Developmental Pattern of Cortical Thickness, Brain Functional Connectivity and Behaviour: a Multi-Block Partial Least Square Discriminant Analysis

Multivariate Developmental Pattern of Cortical Thickness, Br...

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Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), IEEE International Conference on

作者： Emma Tassi Federica Goffi Carolina Bonivento Maddalena Mauri Nivedita Agarwal Rossano Girometti Yvan Torrente Anna Maria Bianchi Maria Nobile Eleonora Maggioni Paolo Brambilla Dept. of Neurosciences and Mental Health IRCCS Ca’ Granda Ospedale Maggiore Policlinico Milan Italy Department of Electronics Information and Bioengineering Politecnico di Milano Milan Italy Polo FVG Scientific Institute IRCCS ‘Eugenio Medea’ Pasian di Prato Udine Italy Child Psychopathology Unit Scientific Institute IRCCS Eugenio Medea Bosisio Parini Italy PhD program in Neuroscience School of Medicine and Surgery University of Milano-Bicocca Milan Italy Neuroimaging Lab Scientific Institute IRCCS E. Medea Bosisio Parini Italy Department of Medicine Institute of Radiology University of Udine Udine Italy Department of Pathophysiology and Transplantation Universita degli Studi di Milano Milan Italy

ISBN: (数字)9798350378009

ISBN: (纸本)9798350378016

The intricate relationship between emotional and behavioral traits and brain anatomy and function during childhood and adolescence is crucial for elucidating the neurobiological basis of diverse psychopathological disorders but it still largely unknown. In this study, we aimed to quantitatively evaluate the multivariate patterns of association between brain activity, cortical brain characteristics, and core clinical and behavioral features in a sample of forty subjects with age ranging between 11–21 years who were referred for emotional-behavioral problems. By exploiting a multi-block partial least square discriminant analysis (MBPLS-DA) framework, we attempt to explain the multivariate relations among the Child Behavior Checklist (CBCL) and brain structure and function assessed via magnetic resonance imaging (MRI). Based on individual importance of each block, our findings showed a prominent contribution of regional cortical thickness data in explaining the variance of CBCL scales. By analyzing each block's loadings individually, a prominent positive association was found among regional cortical thickness in paracentral, lateral occipital cortex, precuneus and CBCL composite scores of psychotic, autism spectrum disorder risk profiles and withdrawn scale. Furthermore, the same CBCL scores were also found positively associated with functional connections involving regions of anterior and median cingulate cortex, caudate nucleus, inferior parietal lobule and angular gyrus. Our investigation suggests a key role of brain structure and function in shaping behavioral traits that might be predispose to psychopathology during childhood and adolescence. The proposed MBPLS-DA application promotes broader adoption of this technique across diverse and multimodal MRI and clinical datasets.

关键词： Brain Magnetic resonance imaging Computed tomography Loading Neural engineering Focusing Metrology Resonance Thickness measurement Periodic structures

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Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders

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Biological Psychiatry 2025年第1期98卷 76-90页

作者： Fortea, Lydia Ortuño, Maria De Prisco, Michele Oliva, Vincenzo Albajes-Eizagirre, Anton Fortea, Adriana Madero, Santiago Solanes, Aleix Vilajosana, Enric Yao, Yuanwei Del Fabro, Lorenzo Solé, Eduard Verdolini, Norma Farré-Colomés, Alvar Serra-Blasco, Maria Picó-Pérez, Maria Lukito, Steve Wise, Toby Carlisi, Christina Arnone, Danilo Kempton, Matthew J. Hauson, Alexander Omar Wollman, Scott Soriano-Mas, Carles Rubia, Katya Norman, Luke Fusar-Poli, Paolo Mataix-Cols, David Valentí, Marc Via, Esther Cardoner, Narcis Solmi, Marco Zhang, Jintao Pan, Pinglei Shin, Jae Il Fullana, Miquel A. Vieta, Eduard Radua, Joaquim Institut d'Investigacions Biomèdiques August Pi I Sunyer Barcelona Spain Department of Medicine University of Barcelona Institute of Neuroscience Barcelona Spain Centro de Investigación Biomédica en Red de Salud Mental Instituto de Salud Carlos III Madrid Spain Bipolar and Depressive Disorders Unit Hospital Clínic Barcelona Spain Department of Biomedical and Neuromotor Sciences University of Bologna Bologna Italy Psychiatric and Psychology Service Hospital Clínic Barcelona Spain Schizophrenia Unit Hospital Clínic Barcelona Spain Department of Psychology The University of Hong Kong Hong Kong Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany Department of Pathophysiology and Transplantation University of Milan Milan Italy Local Health Unit Umbria 1 Department of Mental Health Mental Health Center of Perugia Perugia Italy Department of Addictive Behaviour and Addiction Medicine Central Institute of Mental Health Medical Faculty of Mannheim Heidelberg University Mannheim Germany eHealth ICOnnecta't Program and Psycho-Oncology Service Institut Català d'Oncologia L'Hospitalet de Llobregat Spain Psycho-oncology and Digital Health Group Health Services Research in Cancer Institut d'Investigació Biomèdica de Bellvitge L'Hospitalet del Llobregat Spain Live and Health Sciences Research Institute University of Minho Braga Portugal ICVS/3B's PT Government Associate Laboratory Guimarães Braga Portugal Departamento de Psicología Básica Universitat Jaume I Castelló de la Plana Spain Department of Child and Adolescent Psychiatry Institute of Psychology Psychiatry and Neuroscience King's College London London United Kingdom Department of Neuroimaging Institute of Psychiatry Psychology & Neurosciences King's College London London United Kingdom Division of Psychology and Language Sciences University College London London United Kingdom Centre for Affective Disorders Psychological Medicine King's College London Londo

Background: Regional gray matter volume (GMV) differences between individuals with mental disorders and comparison participants may be confounded by co-occurring disorders. To disentangle disorder-specific GMV correlates, we conducted a large-scale multidisorder meta-analysis using a novel approach that explicitly models co-occurring disorders. Methods: We systematically reviewed voxel-based morphometry studies indexed in PubMed and Scopus up to January 2023 that compared adults with major mental disorders (anorexia nervosa, schizophrenia spectrum, anxiety, bipolar, major depressive, obsessive-compulsive, and posttraumatic stress disorders plus attention-deficit/hyperactivity, autism spectrum, and borderline personality disorders) with comparison participants. Two authors independently extracted data and assessed quality using the Newcastle-Ottawa Scale. We derived GMV correlates for each disorder using: 1) a multidisorder meta-analysis that accounted for all co-occurring mental disorders simultaneously and 2) separate standard meta-analyses for each disorder in which co-occurring disorders were ignored. We assessed the alterations’ extent, intensity (effect size), and specificity (interdisorder correlations and transdiagnostic alterations) for both approaches. Results: We included 433 studies (499 datasets) involving 19,718 patients and 16,441 comparison participants (51% female, ages 20–67 years). We provide GMV correlate maps for each disorder using both approaches. The novel approach, which accounted for co-occurring disorders, produced GMV correlates that were more focal and disorder specific (less correlated across disorders and fewer transdiagnostic abnormalities). Conclusions: This work offers the most comprehensive atlas of GMV correlates across major mental disorders. Modeling co-occurring disorders yielded more specific correlates, supporting this approach's validity. The atlas NIfTI maps are available online. © 2024 Society of Biological Psychiatry

关键词： Anxiety disorders Comorbidity Gray matter volume Major depressive disorder Meta-analysis Psychiatric conditions

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Suicidal ideation, non-suicidal self-injury and psychopathology in university students: Examining the moderating role of experiential avoidance

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Journal of Affective Disorders Reports 2024年 16卷 100734-100734页

作者： Langer, Álvaro I. Schmidt, Carlos Martínez, Vania Mac-Ginty, Scarlett Fuentes, Reiner Núñez, Daniel Millennium Nucleus to Improve the Mental Health of Adolescents and Youths Imhay Chile Faculty of Psychologies and Humanities Universidad San Sebastián Valdivia Chile Brain Cognition and Behavior PhD Program University of Barcelona Spain Centro de Medicina Reproductiva y Desarrollo Integral del Adolescente Faculty of Medicine Universidad de Chile Santiago Chile Department of Health Service and Population Research Institute of Psychiatry Psychology and Neuroscience King's College London London United Kingdom Instituto de Estudios Psicológicos Facultad de Medicina Universidad Austral de Chile Chile Faculty of Psychology Universidad de Talca Chile

Background: Suicidal ideation (SI) is prevalent and associated with negative mental health outcomes in young people, including psychiatric symptoms and non-suicidal self-injury (NSSI). These associations are not well understood, as is the role of experiential avoidance (EA) in the maintenance of SI in university students. Method: The association between recent (last 30-days) and future (next 12-months) SI with NSSI, depression, anxiety, perceived life stress, and EA was explored in university students who completed an online survey (N = 1,355;69 % women). Logistic regression analyses were used to predict recent and future SI. Interaction effects were explored to assess the moderating role of EA between NSSI, psychiatric symptoms, and SI. Results: Past-NSSI plus past-SI were strongly associated with recent SI (OR = 6.08) and future SI (OR = 25.36), even over and above current psychiatric symptoms. Additionally, EA moderated the relationship between psychiatric symptoms and recent SI. Specifically, anxiety and perceived life stress were associated with an increased risk of recent SI in students with low EA, compared to those with high EA. Limitations: The cross-sectional design does not allow us to infer causal relationships between variables. We only evaluated past NSSI and past SI with a single dichotomous item. Then, we did not capture the full heterogeneity of methods related to both phenomena. Only first-year university students were included and a convenience sampling method was used. Conclusions: Past-NSSI and past-SI are risk factors in the maintenance of recent and future SI, whereas EA operates as a specific moderating mechanism for SI. © 2024 The Authors

关键词： Experiential avoidance Non-suicidal self-injury Suicidal ideation University students

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AMYGDALA-FUSIFORM CROSS-FREQUENCY COUPLING FOR PROCESSING FACES AND EMOTIONAL EXPRESSION

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IBRO neuroscience Reports 2023年 15卷 S906-S906页

作者： Giulia Varotto Alba Peris-Yague Manuela Costa Antonio Gil-Nagel Rafael Toledano Stephan Moratti Bryan Strange University Politécnica de Madrid Laboratory For Clinical Neuroscience Center For Biomedical Technology Madrid Spain Universidad Autónoma de Madrid Phd Program In Neuroscience Madrid Spain Hospital Ruber International Neurology Madrid Spain Complutense University of Madrid Department Of Experimental Psychology Madrid Spain Reina Sofia Centre for Alzheimer's Research Neuroimaging madrid Spain

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Effect size for the reduction of corticospinal excitability induced by transcranial static magnetic field stimulation

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Brain Stimulation 2023年第1期16卷 313-313页

作者： Pagge, Cristina Caballero-Insaurriaga, Jaime Oliviero, Antonio Foffani, Guglielmo Ammann, Claudia HM CINAC Hospital Universitario HM Puerta del Sur HM Hospitales Spain PhD program in Neuroscience Universidad Autónoma de Madrid Spain Hospital Nacional de Parapléjicos Toledo Spain CIBERNED Instituto de Salud Carlos III Madrid Spain

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