Publications by authors named "Seong-Hye Choi"

The landscape of Alzheimer's disease (AD) and related dementias (ADRD) diagnosis is evolving rapidly, driven by advances in disease understanding, biomarker tools, and disease-modifying therapies. Modern diagnostic approaches emphasize biological precision, early detection, and dynamic frameworks that adapt to treatment-induced changes in disease biology. These frameworks enable opportunities for personalized interventions-encompassing pharmacological and non-pharmacological strategies-and for enhanced clinical trial design.

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Background And Purpose: Mild cognitive impairment (MCI), particularly due to Alzheimer's disease (AD), is an important stage for early intervention. We aim to assess awareness among the general population of MCI and AD, and evaluate their willingness to pay for treatment that delays the progression to dementia.

Methods: A nationwide cross-sectional telephone survey was conducted from August 29 to 31, 2022, targeting adults aged ≥18 years in the Republic of Korea.

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Blood and cerebrospinal fluid (CSF) biomarkers are essential tools for the rapid diagnosis and monitoring of neurodegenerative diseases like Alzheimer's disease (AD). However, even minor variations in sample collection and storage procedures can significantly impact biomarker measurements, emphasizing the importance of standardized operating procedures. This review discusses the main pre-analytical factors that influence biomarker stability, outlines the best practices for blood and CSF collection and storage, and extensively analyzes recent research findings to ensure optimal reproducibility in biomarker studies.

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There is limited evidence on which biological markers can predict the effectiveness of interventions in mild cognitive impairment (MCI) patients, particularly in relation to amyloid pathology. This study aims to investigate whether plasma glial fibrillary acidic protein (GFAP) levels can serve as a predictive biomarker for short-term cognitive response to multidomain interventions in elderly individuals with MCI, stratified by probable amyloid-β plaque deposition. In this 24-week multicenter randomized controlled trial (RCT; SUPERBRAIN-MEET), 300 elderly participants with MCI were enrolled.

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Introduction: Mild cognitive impairment (MCI) represents a loss of memory or other cognitive function while maintaining the ability to independently perform most activities of daily living. This study assessed how Korean specialists in dementia care diagnosed and treated patients with MCI symptoms.

Methods: A questionnaire on the current management of MCI was developed by 6 experts in MCI care.

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Amyloid positron-emission tomography (PET) is the optimal method for detecting amyloid plaque deposition in patients experiencing cognitive decline, which is essential for diagnosing Alzheimer's disease. However, its clinical application globally has been restricted by the high cost, short radiotracer half-life, and significant accessibility challenges. In particular, the lack of treatment options following diagnosis has been considered the largest obstacle to using amyloid PET as a diagnostic tool.

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Objective: Numerous studies have identified various risk factors associated with Alzheimer's disease (AD). However, the experimental limitations of disease modeling make it challenging to directly interpret their effects. These limitations include constraints of postmortem samples, animal experiments, and challenges associated with brain tissue studies.

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BackgroundPrevious studies have suggested that early-phase imaging of amyloid positron emission tomography (PET) may offer information for predicting amyloid positivity.ObjectiveThis study aimed to evaluate whether early-phase fluorine-18 flutemetamol (eFMM) PET images provide valuable information for predicting amyloid positivity using machine learning (ML) models and whether incorporating clinical and neuropsychological features improves predictive performance.MethodsIn total, 454 patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) were enrolled and randomly divided into training (n = 354) and test (n = 100) groups.

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The global rise in dementia prevalence is escalating the socioeconomic burden, prompting efforts in prevention and treatment. This study aimed to evaluate the effects of an 8-week oral nutrition supplement (ONS) program with or without a multi-domain intervention program (MIP) in patients with mild cognitive impairment. : Forty-nine patients with mild cognitive impairment were divided into three groups: (1) ONS (ONS), (2) ONS+MIP (ONS+MIP), and (3) control (CON).

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Background: The age-standardized prevalence of Alzheimer's disease in Asia has increased rapidly in recent years. Disease-modifying treatments that can slow disease progression are now becoming available for patients with early-stage Alzheimer's disease, including those with mild cognitive impairment. However, challenges in diagnosis and assessment for these patients remain.

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Background And Purpose: We aimed to determine the proportion of Korean patients with early Alzheimer's disease (AD) who are eligible to receive lecanemab based on the United States Appropriate Use Recommendations (US AUR), and also identify the barriers to this treatment.

Methods: We retrospectively enrolled 6,132 patients with amnestic mild cognitive impairment or mild amnestic dementia at 13 hospitals from June 2023 to May 2024. Among them, 2,058 patients underwent amyloid positron emission tomography (PET) and 1,199 (58.

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We investigated plasma phosphorylated tau217 (p-tau217) and p-tau181 efficacy in predicting positive amyloid positron emission tomography (PET) results and cognitive stage transitions. Plasma p-tau217 and p-tau181 were measured in participants who were cognitively unimpaired (CU, n = 121), had mild cognitive impairment (n = 102), or dementia (n = 75) from two independent cohorts (Cohort 1: KBASE-V and Cohort 2: Asan) who underwent amyloid PET. In Cohort 1, plasma p-tau217 (area under the curve [AUC] = 0.

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Introduction: Subjective cognitive decline (SCD) is considered a preclinical manifestation of Alzheimer's disease (AD). Recent research suggests that subtle cognitive changes in SCD are linked to an increased risk of clinical decline. This study investigates the longitudinal trajectories of both objective and self-reported cognitive functions in individuals with SCD, with a focus on the impact of subtle cognitive impairment (SCI).

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Introduction: Plasma phosphorylated tau (p-tau) biomarkers have improved Alzheimer's disease (AD) diagnosis, but data from diverse Asian populations are limited. This study evaluated plasma p-tau217 and p-tau181 levels in Korean and Taiwanese populations.

Methods: All participants (n = 270) underwent amyloid positron emission tomography (PET) and blood tests.

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Introduction: We investigated the efficacy of a multidomain intervention (MI) via face-to-face and video communication platforms using a tablet personal computer application in patients with mild cognitive impairment (MCI).

Methods: Three hundred participants with MCI and ≥ 1 modifiable dementia risk factor, aged 60-85 years, were randomly assigned to either the MI group, who underwent a 24-week intervention, or the control group, who received usual care.

Results: The overall adherence rate to MI was 84.

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Introduction: Alzheimer's disease (AD) is now diagnosed biologically. Since subjective cognitive decline (SCD) may indicate preclinical AD, assessing AD-biomarkers is crucial. We investigated cognitive and neurodegenerative trajectories in SCD over 24 months based on biomarker positivity, and evaluated the predictive value of plasma biomarkers.

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Lecanemab (product name Leqembi®) is an anti-amyloid monoclonal antibody treatment approved for use in Korea for patients with mild cognitive impairment (MCI) or mild dementia due to Alzheimer's disease. The Korean Dementia Association has created recommendations for the appropriate use of lecanemab to assist clinicians. These recommendations include selecting patients for administration, necessary pre-administration tests and preparations, administration methods, monitoring for amyloid related imaging abnormalities (ARIA), and communication with patients and caregivers.

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A shorter leukocyte telomere length (LTL) is reported to be associated with age-related diseases, including osteoporosis. Many studies have tried identifying the association between LTL and osteoporosis, although it remains controversial. This study aimed to determine whether osteoporosis is independently associated with LTL shortening in a prospective longitudinal cohort.

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Article Synopsis
  • * The research analyzed MRI and amyloid PET scans from 454 participants, finding that a combined model showed improved accuracy in classifying cognitive impairment, particularly in those with Alzheimer's disease.
  • * Results indicate that white matter inter-subject variability (WM-ISV) is linked to both cognitive decline and specific blood biomarkers, supporting the idea that white matter analysis could enhance clinical decision-making regarding cognitive health.
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Purpose: Research on the relationship between diet and dementia among Koreans are lacking. This study investigated the association between dietary habits and dementia progression over 3 years in patients with Alzheimer's disease dementia (ADD).

Materials And Methods: This study included 705 patients with mild-to-moderate ADD.

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Background And Purpose: Alzheimer's disease (AD) is a neurodegenerative disease characterized by a progressive decline in cognition and performance of daily activities. Recent studies have attempted to establish the relationship between AD and sleep. It is believed that patients with AD pathology show altered sleep characteristics years before clinical symptoms appear.

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Background And Purpose: The SoUth Korea study to PrEvent cognitive impaiRment and protect BRAIN health through lifestyle intervention (SUPERBRAIN) proved the feasibility of multidomain intervention for elderly people. One-quarter of the Korean population over 65 years of age has mild cognitive impairment (MCI). Digital health interventions may be cost-effective and have fewer spatial constraints.

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Article Synopsis
  • A new biosensor using a single plasmonic asymmetric nanobridge (PAN) has been developed to differentiate between mild cognitive impairment (MCI) and Alzheimer's disease (AD) by analyzing phosphorylated tau proteins (p-tau) in blood samples.
  • The PAN biosensor features a unique design that enhances sensitivity, allowing it to detect very low levels of p-tau, which is closely related to the progression of AD.
  • By incorporating machine learning techniques, the diagnostic system achieves a high accuracy rate of 94.47% in predicting health status among individuals, indicating its potential for early detection of Alzheimer's disease.
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Background: Subjective cognitive decline (SCD) refers to the self-reported persistent cognitive decline despite normal objective testing, increasing the risk of dementia compared to cognitively normal individuals.

Objective: This study aims to investigate the attributes of SCD patients who demonstrated memory function improvement.

Methods: In this prospective study of SCD, a total of 120 subjects were enrolled as part of a multicenter cohort study aimed at identifying predictors for the clinical progression to mild cognitive impairment or dementia (CoSCo study).

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Introduction: This study aimed to determine the efficacy of combining plasma phosphorylated tau (p-tau)181, amyloid beta (Aβ)42/Aβ40, neurofilament light (NfL), and apolipoprotein E () genotypes for detecting positive amyloid positron emission tomography (PET), which is little known in the Asian population, in two independent cohorts.

Methods: Biomarkers were measured using a single-molecule array (Simoa) in a cohort study (Asan). All participants underwent amyloid PET.

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