Publications by authors named "Eosu Kim"

AMPK is a promising target for various chronic illnesses such as diabetes and Alzheimer's disease (AD). We sought to develop a novel small molecule that directly activates AMPK, with the potential to fundamentally modulate the pathogenic mechanisms of the metabolic disorders. To identify a potent novel pharmacophore in an unbiased way, we performed structure-based virtual screening on a commercially available chemical library, and evaluated the actual AMPK activity of 118 compounds selected from 100,000 compounds based on docking scores.

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Frank's sign (FS) is a diagnostic marker associated with aging and various health conditions. Despite its clinical significance, there lacks a standardized method for its identification. This study aimed to develop a deep learning model for automated FS detection in 3D facial images derived from MRI scans.

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Background: Alzheimer's disease (AD) is characterized by the accumulation of abnormal proteins, such as β-amyloid and tau, in the brain, which precedes cognitive impairment. Although diabetes mellitus (DM) is a well-established risk factor for AD, few studies have investigated how the presence of DM affects the sequential pathogenesis of AD, specifically within the amyloid-tau-neurodegeneration (ATN) and cognition framework.

Objectives: This study aims to investigate the trajectories of ATN biomarkers in relation to the presence of DM in the preclinical and prodromal stages of AD.

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  • The study compared the performance of two MR volumetry segmentation tools, FreeSurfer and Neurophet AQUA, at different magnetic field strengths (1.5T and 3T) using data from 213 patients across multiple sources.
  • It found that FreeSurfer reported larger hippocampus volumes while Neurophet AQUA exhibited lower average volume differences and more stable segmentation across brain regions.
  • Additionally, Neurophet AQUA proved significantly faster, taking only 5 minutes for segmentation compared to 1 hour for FreeSurfer, suggesting a trade-off between accuracy, consistency, and processing time in choosing a segmentation method.
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Background: Plasma neurofilament light chain (NfL) is a blood biomarker of neurodegeneration, including Alzheimer's disease. However, its usefulness may be influenced by common conditions in older adults, including amyloid-β (Aβ) deposition and cardiometabolic risk factors like hypertension, diabetes mellitus (DM), impaired kidney function, and obesity. This longitudinal observational study using the Alzheimer's Disease Neuroimaging Initiative cohort investigated how these conditions influence the prognostic capacity of plasma NfL.

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  • This study explores how listening to one's own voice affects brain activity compared to listening to others' voices, particularly in the context of emotion regulation.
  • Researchers used fMRI scans on 21 healthy adults while they listened to sentences in their own and others' voices, focusing on two strategies: self-affirmation and cognitive defusion.
  • Findings indicate that brain regions related to self-processing are more engaged when using cognitive defusion with one's own voice, highlighting the unique psychological impact of hearing oneself speak.
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  • Cholesterol homeostasis is linked to Alzheimer's disease (AD), but the specific cholesterol metabolites involved are not well understood, prompting a study to identify potential biomarkers.
  • * Researchers conducted steroid profiling in mice and humans to find "hit" metabolites, focusing on 7β-hydroxycholesterol (7β-OHC), which was examined for its role in AD pathogenesis through various experimental methods.
  • * The study found increased levels of 7β-OHC in both mice and patients with AD, suggesting it may drive AD-related inflammation, cognitive impairment, and could serve as a useful biomarker for personalized AD treatment.*
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  • The study aims to enhance the diagnosis of Alzheimer's disease (AD) by implementing automated scoring methods for brain atrophy using deep learning techniques, addressing limitations of traditional visual scoring.* -
  • Involving nearly 4,000 participants, the research compared results from automated scoring methods and visual assessments performed by neuroradiologists to evaluate their consistency and reliability.* -
  • Findings indicate strong correlations between automated and visual scores for AD subtyping, suggesting automated methods could improve clinical assessments in large-scale studies.*
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In the mouse embryonic forebrain, developmentally distinct oligodendrocyte progenitor cell populations and their progeny, oligodendrocytes, emerge from three distinct regions in a spatiotemporal gradient from ventral to dorsal. However, the functional importance of this oligodendrocyte developmental heterogeneity is unknown. Using a genetic strategy to ablate dorsally derived oligodendrocyte lineage cells (OLCs), we show here that the areas in which dorsally derived OLCs normally reside in the adult central nervous system become populated and myelinated by OLCs of ventral origin.

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Hyperglycemia has been shown to modulate the immune response of peripheral immune cells and organs, but the impact of hyperglycemia on neuroinflammation within the brain remains elusive. In the present study, we provide evidences that streptozotocin (STZ)-induced hyperglycemic condition in mice drives a phenotypic switch of brain astrocytes to a proinflammatory state, and increases brain vulnerability to mild peripheral inflammation. In particular, we found that hyperglycemia led to a significant increase in the astrocyte proliferation as determined by flow cytometric and immunohistochemical analyses of mouse brain.

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  • Metformin, commonly used to treat diabetes, was studied for its potential benefits in Alzheimer's disease (AD), but some research indicates it may actually increase AD risk and pathology in humans.
  • In a study involving prolonged metformin administration in mice, younger non-transgenic mice showed improvements in attention and learning, while older mice faced memory retention deficits and cognitive impairments, particularly in those with AD.
  • The treatment also led to increased levels of harmful AD-related proteins and decreased crucial synaptic markers, suggesting that the use of metformin for Alzheimer's patients warrants careful evaluation.
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Purpose: Type 2 diabetes mellitus (T2DM) is associated with a 2-fold increased risk of developing Alzheimer's disease. In earlier research, agmatine has been demonstrated to alleviate diabetes symptoms and increase cognitive performance. However, it is unclear whether the improvement of cognitive function is attributable to the reduction of diabetic symptoms or its direct influence on brain metabolism.

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Objective: The aims of this study were to develop a self-efficacy enhancement program and to evaluate its effect on cognitive function, dementia knowledge, self-efficacy, depression, and dementia preventive behaviors in older adults (age ≥ 65 years) with mild cognitive impairment (MCI).

Methods: This equivalent control group pretest-posttest study was conducted at a tertiary hospital in Seoul, South Korea. Older adults with MCI were randomly allocated to an experimental (EG, n = 16) or control group (CG, n = 16).

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Introduction: Using nationwide cohort data, we aimed to elucidate whether baseline obesity altered the relationship between loss in body mass index (BMI) or waist circumference (WC) and risk of dementia.

Methods: Among 9689 participants whose BMIs and WCs were repeatedly measured over 1 year, 1:1 propensity score matching was conducted between participants with and without obesity (n = 2976 per group, mean age 70.9).

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Aims: We examined cumulative effects of long-term glycemic exposure in patients with type 2 diabetes mellitus (T2DM) on the development of dementia.

Methods: The study involved 20,487 records of patients with T2DM identified in the electronic medical record at Severance Hospital, Korea. Cumulative HbA1c (AUC) and mean HbA1c over time (HbA1c) as measures of long-term glycemic exposure were compared for the development of dementia and the time to dementia.

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Background: Restless leg syndrome (RLS) is associated with poor sleep quality, depression or anxiety, poor dietary patterns, microvasculopathy, and hypoxia, all of which are known risk factors for dementia. However, the relationship between RLS and incident dementia remains unclear. This retrospective cohort study aimed to explore the possibility that RLS could be deemed as a non-cognitive prodromal feature of dementia.

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Background And Objectives: Previous studies have reported the protective effect of pioglitazone on dementia in patients with type 2 diabetes mellitus (DM). Recent studies have shown that pioglitazone also lowers the risk of primary and recurrent stroke. Understanding the characteristics of patients particularly associated with the benefits of pioglitazone would facilitate its personalized use by specifying subpopulations during routine clinical care.

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As amyloid-β (Aβ) peptide is considered a biomarker and pathological culprit of Alzheimer's disease, Aβ-targeting compounds have been investigated for diagnostics development and drug discovery of the disorder. Unlike amyloid plaque targeting agents, such as clinically available amyloid radiotracers intercalating into the β-sheet structures of the aggregates, monomer and oligomer targeting chemicals are difficult to develop, as the transient and polymorphic nature of these peptides impedes their structural understanding. Here, we report a mapping approach to explore targeting residues of Aβ-imaging probes and Aβ-regulating drug candidates by utilizing a set of fragmented Aβ hexamers immobilized on a 96-well microplate in combination with fluorescent full-length Aβ for on-plate aggregation.

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Article Synopsis
  • The study explores the relationship between blood levels of adiponectin and leptin with cognitive decline and brain structure changes in individuals with mild cognitive impairment (MCI), particularly focusing on those with and without beta-amyloid (Aβ) presence.
  • Out of 156 MCI participants, researchers found that higher plasma adiponectin levels were linked to faster cognitive decline and increased cortical thinning, specifically in those who tested positive for Aβ.
  • The results highlight the potential role of adipokines as biomarkers in understanding the progression of Alzheimer's disease, emphasizing the need for further exploration of their effects in humans.
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Background: Subjective cognitive decline (SCD) is a target for Alzheimer's disease prediction. Plasma amyloid-beta oligomer (AβO), the pathogenic form of Aβ in blood, has recently been proposed as a novel blood-based biomarker of AD prediction by representing brain Aβ deposition. The relationship between plasma AβO, brain Aβ deposition, and SCD in individuals with normal objective cognition has not been investigated.

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This study aimed to evaluate the association between non-alcoholic fatty liver disease (NAFLD) and cognitive impairment and explore the effect modification by the inflammatory status. A total of 4400 community-based participants aged 50-64 years from the Cardiovascular and Metabolic Disease Etiology Research Center were included in this cross-sectional study. NAFLD was identified as the Fatty Liver Index 30 or higher in the absence of excessive alcohol consumption.

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Background: Although individuals with dementia have a high risk of developing seizures, whether seizures are associated with cholinesterase inhibitors, which are commonly prescribed to treat individuals with dementia, remains unknown. This study investigated the risk of incident seizure following cholinesterase inhibitor use in patients with dementia.

Methods: A nationwide, nested case-control study was conducted using data from the Korean Health Insurance Review and Assessment Service (HIRA) from 2014 through 2018.

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