Yun Ju Sung
A5070156525- Bioinformatics and Genomic Networks
- Genetic Associations and Epidemiology
- Alzheimer's disease research and treatments
- Advanced Proteomics Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Bioinformatics
- Genetic Mapping and Diversity in Plants and Animals
- Dementia and Cognitive Impairment Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Genetic and phenotypic traits in livestock
- Parkinson's Disease Mechanisms and Treatments
- Nutrition, Genetics, and Disease
- Genetic Syndromes and Imprinting
- Gene expression and cancer classification
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Epigenetics and DNA Methylation
- Health, Environment, Cognitive Aging
- Tryptophan and brain disorders
- Advanced biosensing and bioanalysis techniques
- Inflammation biomarkers and pathways
- Autism Spectrum Disorder Research
- S100 Proteins and Annexins
- Neurological diseases and metabolism
Washington University in St. Louis
2016-2025
Washington University Medical Center
2024-2025
Hope Center for Neurological Disorders
2020-2024
Seoul National University
2007-2024
NeoGenomics (United States)
2022-2023
Korea Research Institute of Bioscience and Biotechnology
2013-2020
Yuncheng University
2012-2017
Cancer Research And Biostatistics
2015
University of Washington Medical Center
2005-2007
Seattle University
2005-2007
Abstract Animal studies show aging varies between individuals as well organs within an individual 1–4 , but whether this is true in humans and its effect on age-related diseases unknown. We utilized levels of human blood plasma proteins originating from specific to measure organ-specific differences living individuals. Using machine learning models, we analysed 11 major estimated organ age reproducibly five independent cohorts encompassing 5,676 adults across the lifespan. discovered nearly...
Proteomic studies for Alzheimer’s disease (AD) are instrumental in identifying AD pathways but often focus on single tissues and sporadic cases. Here, we present a proteomic study analyzing 1305 proteins brain tissue, cerebrospinal fluid (CSF), plasma from patients with AD, TREM2 risk variant carriers, autosomal dominant (ADAD), healthy individuals. We identified 8 brain, 40 CSF, 9 that were altered individuals replicated these findings several external datasets. signature differentiated...
Abstract Triggering receptor expressed on myeloid cells 2 (TREM2) plays a critical role in microglial activation, survival, and apoptosis, as well Alzheimer’s disease (AD) pathogenesis. We previously reported the MS4A locus key modulator for soluble TREM2 (sTREM2) cerebrospinal fluid (CSF). To identify additional novel genetic modifiers of sTREM2, we performed largest genome-wide association study (GWAS) identified four loci CSF sTREM2 3,350 individuals European ancestry. Through...
The SOMAscan assay has an advantage over immunoassay-based methods because it measures a large number of proteins in cost-effective manner. However, the performance this technology compared to routinely used immunoassay techniques needs be evaluated. We performed comparative analyses and protein measurements for five cerebrospinal fluid (CSF) associated with Alzheimer's disease (AD) neurodegeneration: NfL, Neurogranin, sTREM2, VILIP-1, SNAP-25. biomarkers measured ADNI (N = 689), Knight-ADRC...
Abstract Amyloid PET imaging has been crucial for detecting the accumulation of amyloid beta (Aβ) deposits in brain and to study Alzheimer’s disease (AD). We performed a genome-wide association on largest collection data (N = 13,409) date, across multiple ethnicities from multicenter cohorts identify variants associated with amyloidosis AD risk. found strong APOE signal chr19q.13.32 (top SNP: ɛ4; rs429358; β 0.35, SE 0.01, P 6.2 × 10 –311 , MAF 0.19), driven by ɛ4, five additional novel...
The integration of quantitative trait loci (QTL) with disease genome-wide association studies (GWAS) has proven successful at prioritizing candidate genes disease-associated loci. QTL mapping mainly been focused on multi-tissue expression or plasma protein (pQTL). Here we generated the largest-to-date cerebrospinal fluid (CSF) pQTL atlas by analyzing 7,028 proteins in 3,107 samples. We identified 3,373 independent study-wide associations for 1,961 proteins, including 2,448 novel pQTLs which...
Abstract INTRODUCTION A hallmark of Alzheimer's disease (AD) is the aggregation proteins (amyloid beta [A] and hyperphosphorylated tau [T]) in brain, making cerebrospinal fluid (CSF) particular interest. METHODS We conducted a CSF proteome‐wide analysis among participants varying AT pathology ( n = 137 participants; 915 proteins) with nine biomarkers neurodegeneration neuroinflammation. RESULTS identified 61 significantly associated category P < 5.46 × 10 −5 ) 636 significant...
Identification of proteins dysregulated by COVID-19 infection is critically important for better understanding its pathophysiology, building prognostic models, and identifying new targets. Plasma proteomic profiling 4,301 was performed in two independent datasets tested the association three outcomes (infection, ventilation, death). We identified 1,449 consistently associated both with any these outcomes. subsequently created highly accurate models that distinctively predict infection,...
Alzheimer's Disease (AD) biomarker measurement is key to aid in the diagnosis and prognosis of disease. In research setting, participant recruitment retention optimization sample use, one main challenges that observational studies face. Thus, obtaining accurate established measurements for stratification maximizing use precious samples key. Accurate technologies are currently available biomarkers, mainly immunoassays immunoprecipitation liquid chromatography-mass spectrometry (IP-MS), some...
To date, there is no high throughput proteomic study in the context of Autosomal Dominant Alzheimer's disease (ADAD). Here, we aimed to characterize early CSF proteome changes ADAD and leverage them as potential biomarkers for monitoring therapeutic strategies. We utilized Somascan® 7K assay quantify protein levels from 291 mutation carriers (MCs) 185 non-carriers (NCs). employed a multi-layer regression model identify proteins with different pseudo-trajectories between MCs NCs. replicated...
Abstract Changes in Amyloid-β (A), hyperphosphorylated Tau (T) brain and cerebrospinal fluid (CSF) precedes AD symptoms, making CSF proteome a potential avenue to understand the pathophysiology facilitate reliable diagnostics therapies. Using AT framework three-stage study design (discovery, replication, meta-analysis), we identified 2,173 proteins dysregulated AD, that were further validated third totally independent cohort. Machine learning was implemented create validate highly accurate...
The immune system substantially influences age-related cognitive decline and Alzheimer's disease (AD) progression, affected by genetic environmental factors. In a Mayo Clinic Study of Aging cohort, we examined how risk factors like APOE genotype, age, sex affect inflammatory molecules AD biomarkers in cerebrospinal fluid (CSF). Among cognitively unimpaired individuals over 65 (
Abstract The Knight-Alzheimer Disease Research Center (Knight-ADRC) at Washington University in St. Louis has pioneered and led worldwide seminal studies that have expanded our clinical, social, pathological, molecular understanding of Alzheimer Disease. Over more than 40 years, research volunteers been recruited to participate cognitive, neuropsychologic, imaging, fluid biomarkers, genomic multi-omic studies. Tissue longitudinal data collected foster, facilitate, support on dementia aging....
Cardiovascular diseases are among the most significant health problems in United States. Blood pressure (BP) variability has a genetic component, and of variance remains to be identified. One promising strategy for gene discovery is genome-wide analysis interactions between single nucleotide polymorphisms (SNPs) environmental factors related cardiovascular diseases.
Abstract Motivation Gene–environment interaction (GEI) studies are a general framework that can be used to identify genetic variants modify the effects of environmental, physiological, lifestyle or treatment on complex traits. Moreover, accounting for GEIs enhance our understanding architecture diseases and However, commonly statistical software programs GEI either not applicable testing certain types hypotheses have been optimized use in large samples. Results Here, we develop new program,...
In Alzheimer's disease (AD) research, cerebrospinal fluid (CSF) Amyloid beta (Aβ), Tau and pTau are the most accepted well validated biomarkers. Several methods platforms exist to measure those biomarkers, leading challenges in combining data across studies. Thus, there is a need identify that harmonize standardize these values. We used Z-score based approach CSF amyloid imaging from multiple cohorts compared GWAS results using this with currently methods. also generalized mixture model...