70 results match your criteria: "National Institute of Neurological Disorder and Stroke[Affiliation]"

Layer-specific anatomical and physiological features of the retina's neurovascular unit.

Curr Biol

December 2024

Synaptic Physiology Section, National Institute of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, MD 20814, USA. Electronic address:

The neurovascular unit (NVU), comprising vascular, glial, and neural elements, supports the energetic demands of neural computation, but this aspect of the retina's trilaminar vessel network is poorly understood. Only the innermost vessel layer-the superficial vascular plexus (SVP)-is associated with astrocytes, like brain capillaries, whereas radial Müller glia interact with vessels in the other layers. Using serial electron microscopic reconstructions from mouse and primate retina, we find that Müller processes cover capillaries in a tessellating pattern, mirroring the wrapping of brain capillaries by tiled astrocytic endfeet.

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The retina's neurovascular unit: Müller glial sheaths and neuronal contacts.

bioRxiv

May 2024

Synaptic Physiology Section, National Institute of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, MD.

The neurovascular unit (NVU), comprising vascular, glial and neural elements, supports the energetic demands of neural computation, but this aspect of the retina's trilaminar vessel network is poorly understood. Only the innermost vessel layer - the superficial vascular plexus (SVP) - is ensheathed by astrocytes, like brain capillaries, whereas glial ensheathment in other layers derives from radial Müller glia. Using serial electron microscopy reconstructions from mouse and primate retina, we find that Müller processes cover capillaries in a tessellating pattern, mirroring the tiled astrocytic endfeet wrapping brain capillaries.

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Hyperpolarized (HP) carbon-13 [C] enables the specific investigation of dynamic metabolic and physiologic processes via in vivo MRI-based molecular imaging. As the leading HP metabolic agent, [1-C]pyruvate plays a pivotal role due to its rapid tissue uptake and central role in cellular energetics. Dissolution dynamic nuclear polarization (d-DNP) is considered the gold standard method for the production of HP metabolic probes; however, development of a faster, less expensive technique could accelerate the translation of metabolic imaging via HP MRI to routine clinical use.

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Multidrug resistance has become a global health problem associated with high morbidity and mortality. Antimicrobial peptides have been acknowledged as potential leads for prospective anti-infectives. Owing to their scavenging lifestyle, Corvus splendens is thought to have developed robust immunity to pathogens found in their diet, implying that they have evolved mechanisms to resist infection.

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Human T lymphotropic virus type 1-assoicated (HTLV-1-associated) myelopathy/tropical spastic paraparesis (HAM/TSP) is a neuroinflammatory disease caused by the persistent proliferation of HTLV-1-infected T cells. Here, we performed a T cell receptor (TCR) repertoire analysis focused on HTLV-1-infected cells to identify and track the infected T cell clones that are preserved in patients with HAM/TSP and migrate to the CNS. TCRβ repertoire analysis revealed higher clonal expansion in HTLV-1-infected cells compared with noninfected cells from patients with HAM/TSP and asymptomatic carriers (ACs).

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Collagen VI-related myopathies: clinical variability, phenotype-genotype correlation and exploratory transcriptome study.

Neuromuscul Disord

May 2023

Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China. Electronic address:

Collagen VI-related myopathies are a group of disorders that cause muscle weakness and joint contractures with significant variability in disease severity among patients. Here we report the clinical and genetic characteristics of 13 Chinese patients. Detailed histological, radiological and muscle transcriptomic evaluations were also conducted for selected representative patients.

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Glb1 knockout mouse model shares natural history with type II GM1 gangliosidosis patients.

Mol Genet Metab

February 2023

Glycosphingolipid and Glycoprotein Disorders Unit, Medical Genetic Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States; Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD, United States. Electronic address:

Article Synopsis
  • * Researchers created a mouse model using CRISPR/Cas9 to study the disease, which mimics characteristics seen in human patients, such as specific gait abnormalities and a reduction in motor skills over time.
  • * The Glb1 mice also display progressive brain atrophy and increased levels of a pentasaccharide biomarker, supporting their relevance for developing new treatments for GM1 gangliosidosis, particularly the less severe type II variant.
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  • Disrupted sleep and excessive daytime sleepiness are common symptoms in brain tumor patients, especially after they undergo radiotherapy, with unclear biological causes.
  • Researchers developed a mouse model to study how cranial radiation causes sleep disturbances that mimic human conditions, revealing varying levels of DNA damage across different brain areas.
  • Preliminary findings suggest that certain brain regions related to cognitive functions and sleep regulation are particularly sensitive to radiation, which could inform better treatment strategies for patients.
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Age plays a critical role in disease development and tolerance to cancer treatment, often leading to an increased risk of developing negative symptoms including sleep disturbances. Circadian rhythms and sleep become disrupted as organisms age. In this study, we explored the behavioral alterations in sleep, circadian rhythms, and masking using a novel video system and interrogate the long-term impact of age-based changes in the non-image forming visual pathway on brain anatomy.

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Article Synopsis
  • The study aimed to create models that predict stroke outcomes using clinical data collected at admission and discharge, which could help clinicians in treatment and triage decisions for stroke patients.
  • A total of 37,094 patients were analyzed from the Taiwan Stroke Registry, resulting in models that achieved high predictive performance scores (AUCs) ranging from 0.85 to 0.96 based on clinical factors.
  • The research revealed that using a small number of selected key clinical features, such as age and NIHSS scores, led to better prediction accuracy compared to previous models, ultimately assisting physicians in managing stroke patients more effectively.
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Skin color patterns are ubiquitous in nature, impact social behavior, predator avoidance, and protection from ultraviolet irradiation. A leading model system for vertebrate skin patterning is the zebrafish; its alternating blue stripes and yellow interstripes depend on light-reflecting cells called iridophores. It was suggested that the zebrafish's color pattern arises from a single type of iridophore migrating differentially to stripes and interstripes.

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Degraded microarchitecture by low trabecular bone score is associated with prevalent vertebral fractures in patients with systemic lupus erythematosus.

Arch Osteoporos

March 2020

Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, No. 1650, Sec. 4, Taiwan Boulevard, Taichung, 40705, Taiwan.

Purpose: Recently, trabecular bone score (TBS) has emerged as an important supplementary assessment tool in osteoporosis diagnosis and management. The high incidence of fragility fracture within the non-osteoporotic range of bone mineral density (BMD), among systemic lupus erythematosus (SLE) patients, highlights the crucial role of bone microarchitecture in osteoporosis. This study aimed to evaluate whether TBS identified existing vertebral fractures (VF) more accurately than BMD in SLE patients.

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Introduction: Being able to predict functional outcomes after a stroke is highly desirable for clinicians. This allows clinicians to set reasonable goals with patients and relatives, and to reach shared after-care decisions for recovery or rehabilitation. The aim of this study was to apply various machine learning (ML) methods for 90-day stroke outcome predictions, using a nationwide disease registry.

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Autodetect extracranial and intracranial artery stenosis by machine learning using ultrasound.

Comput Biol Med

January 2020

Department of Neurology, Chang Gung Memorial Hospital, Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan, Taiwan. Electronic address:

Background: and Purpose: This study proposed a machine learning method for identifying ≥50% stenosis of the extracranial and intracranial arteries.

Patients And Methods: A total of 8211 patients with both carotid ultrasound and cerebral angiography were enrolled. Support vector machine (SVM) was employed as the machine learning classifier.

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Hematogenous meningoencephalitis (HCME) is a life-threatening complication of neonates and immunocompromised children. Amphotericin B (AmB) shows poor permeability and low cerebrospinal fluid (CSF) concentrations, but is effective in treatment of HCME. In order to better understand the mechanism of CNS penetration of AmB, we hypothesized that AmB may achieve focally higher concentrations in infected CNS lesions.

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Applying density-based outlier identifications using multiple datasets for validation of stroke clinical outcomes.

Int J Med Inform

December 2019

Bioinformatics Section, National Institute of Neurological Disorder and Stroke, National Institutes of Health, Bethesda, MD, United States. Electronic address:

Introduction: Clinicians commonly use the modified Rankin Scale (mRS) and the Barthel Index (BI) to measure clinical outcome after stroke. These are potential targets in machine learning models for stroke outcome prediction. Therefore, the quality of the measurements is crucial for training and validation of these models.

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Increased incidence of depression in HIV+ patients is associated with lower adherence to treatment and increased morbidity/mortality. One possible underlying pathophysiology is serotonergic dysfunction. In this study, we used an animal model of HIV, the SIV-infected macaque, to longitudinally image serotonin transporter (SERT) expression before and after inoculation, using 11C-DASB (SERT ligand) PET imaging.

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The clinical application of advanced next-generation sequencing technologies is increasingly uncovering novel classes of mutations that may serve as potential targets for precision medicine therapeutics. Here, we show that a deep intronic splice defect in the COL6A1 gene, originally discovered by applying muscle RNA sequencing in patients with clinical findings of collagen VI-related dystrophy (COL6-RD), inserts an in-frame pseudoexon into COL6A1 mRNA, encodes a mutant collagen α1(VI) protein that exerts a dominant-negative effect on collagen VI matrix assembly, and provides a unique opportunity for splice-correction approaches aimed at restoring normal gene expression. Using splice-modulating antisense oligomers, we efficiently skipped the pseudoexon in patient-derived fibroblast cultures and restored a wild-type matrix.

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In this study we characterized the TCR repertoire profiles in patients with chronic progressive inflammatory neurological disorders including HAM/TSP, associated with human T-cell lymphotropic virus type I (HTLV-I) infection, and multiple sclerosis (MS), an inflammatory, demyelinating disease of the CNS of unknown etiology. We hypothesized that a T-cell receptor (TCR) clonal repertoire 'signature' could distinguish HAM/TSP patients from healthy controls, as well as from patients with a more heterogeneous CNS-reactive inflammatory disease such as MS. In this study, we applied an unbiased molecular technique - unique molecular identifier (UMI) library-based strategy to investigate with high accuracy the TCR clonal repertoire by high throughput sequencing (HTS) technology.

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Fenton-Reaction-Acceleratable Magnetic Nanoparticles for Ferroptosis Therapy of Orthotopic Brain Tumors.

ACS Nano

November 2018

Laboratory of Molecular Imaging and Nanomedicine , National Institute of Biomedical Imaging and Bioengineering , National Institutes of Health, Bethesda , Maryland 20892 , United States.

Article Synopsis
  • Cancer is a major global health issue, and new therapies are needed to improve treatment options; ferroptosis therapy (FT) is proposed as a promising approach.
  • Researchers developed Fenton-reaction-acceleratable magnetic nanoparticles (FeGd-HN@Pt@LF/RGD2) that can effectively deliver essential reactants directly to brain tumors, enabling enhanced FT by crossing the blood-brain barrier and targeting cancer cells.
  • The nanoparticles release key components that promote the Fenton reaction, generating reactive oxygen species that kill cancer cells, while also allowing for real-time monitoring of tumor response through intrinsic MRI capabilities.
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Article Synopsis
  • Hypoxic zones in tumors make them resistant to radiation therapy, but drugs that improve oxygen levels, like SQAP, can enhance treatment effectiveness.
  • The study used various imaging techniques to show how SQAP affects oxygen levels and blood flow in tumors before radiation.
  • Results indicated that SQAP improves tumor oxygenation and blood perfusion, leading to better responses to radiation therapy and potentially delaying tumor growth.
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Article Synopsis
  • * Two imaging markers were identified as predictors of tumor therapy response: partial oxygen pressure (pO) via EPR imaging and pyruvate metabolism rate through hyperpolarized C MRI; results demonstrated varying responses in three different PDAC tumor models grown in mice.
  • * Fractionated radiotherapy and specific drugs showed varying effectiveness across tumor types; pO2 levels and metabolic imaging can help forecast how well PDAC tumors will respond to treatments, including chemotherapy and radiation.
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Article Synopsis
  • The study investigates the use of hyperpolarized [1-C]-pyruvate magnetic resonance spectroscopic imaging (MRSI) as a tool for assessing prostate cancer's metabolic behavior, specifically its reliance on the Warburg effect.
  • Two human prostate cancer cell lines, DU145 and PC3, were used in experiments to measure how cancer cells convert pyruvate to lactate using hyperpolarized [1-C]-pyruvate MRSI.
  • Results showed that DU145 cells had a higher conversion rate and sensitivity to lactate dehydrogenase (LDH) inhibition compared to PC3, suggesting that MRSI could effectively predict the success of targeting the Warburg effect in prostate cancer treatment.
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Traumatic cerebrovascular injury (TCVI) is a common pathologic mechanism of traumatic brain injury (TBI) and presents an attractive target for intervention. The aims of this study were to assess cerebral blood flow (CBF) and cerebrovascular reactivity (CVR) using magnetic resonance imaging (MRI) to assess their value as biomarkers of TCVI in chronic TBI, characterize the spatial distribution of TCVI, and assess the relationships between each biomarker and neuropsychological and clinical assessments. Forty-two subjects (27 chronic TBI, 15 age- and gender-matched healthy volunteers) were studied cross-sectionally.

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