Year: 2024
Type: article
Abstract: INTRODUCTION: Despite the recognized importance of including ethnic diversity in Alzheimer's disease (AD) research, substantial knowledge gaps remain, particularly in Asian populations. METHODS: RNA sequencing was performed on blood samples from the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE) to perform differential gene expression (DGE), gene co-expression network, gene-set enrichment, and machine learning analyses for amyloid beta (Aβ) deposition on positron emission tomography. RESULTS: DGE analysis identified 265 dysregulated genes associated with Aβ deposition and replicated three AD-associated genes in an independent Korean cohort. Network analysis identified two modules related to pathways including a natural killer (NK) cell-mediated immunity. Machine learning analysis showed the classification of Aβ positivity improved with the inclusion of gene expression data. DISCUSSION: Our results in a Korean population suggest Aβ deposition-associated genes are enriched in NK cell-mediated immunity, providing a better understanding of AD molecular mechanisms and yielding potential diagnostic and therapeutic strategies. HIGHLIGHTS: Dysregulated genes were associated with amyloid beta (Aβ) deposition on positron emission tomography in a Korean cohort. Dysregulated genes in Alzheimer's disease were replicated in an independent Korean cohort. Gene network modules were associated with Aβ deposition. Natural killer (NK) cell proportion in blood was associated with Aβ deposition. Dysregulated genes were related to a NK cell-mediated immunity.
Source: Alzheimer s & Dementia
DOI: 10.1002/alz.14348
Authors: Tamina Park, Jiyun Hwang, Shiwei Liu, Soumilee Chaudhuri, Sang Won Han, Dahyun Yi, Min Soo Byun, Yen‐Ning Huang, Thea Rosewood, Gijung Jung, Min Jeong Kim, Hyejin Ahn, Jun‐Young Lee, Yu Kyeong Kim, MinYoung Cho, Paula J. Bice, Hannah Craft, Shannon L. Risacher, Hongyu Gao, Yunlong Liu, SangYun Kim, Young Ho Park, Dong Young Lee, Andrew J. Saykin, Kwangsik Nho
Institutions: Indiana University Indianapolis, Indiana University School of Medicine, Seoul National University, Indiana University – Purdue University Indianapolis, Hallym University, Hallym University Chuncheon Sacred Heart Hospital, Seoul National University Hospital, SNUH SMG-SNU Boramae Medical Center, Seoul National University Bundang Hospital
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,000
Awards: G1019027634, G1024368718, G1041081925, G107491585, G1099867158, G1132060387, G1171648585, Indiana Alzheimer Disease Center, G1576357080, G1594299860, G1851835806, G2562979282, G2619161350, G2957681590, G3146424788, G3432412089, G365537114, G3881770169, G4350118794, G4767991977, G4842798251, G4907116308, G5090083847, G5235017436, G5667626990, G607802463, G6092455194, G6245148141, G6670762595, G722149054, G7855090837, G8364799504, G8403587253, G8766817007, G9000011165, G9000011920, G9000020039, G9000033611, G9000055340, G9000056510, G9000062785, G9000068750, G9000122335, G9000162324, KBASE2: Korean Brain Aging Study, Longitudinal Endophenotypes and Systems Biology, Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
OpenAlex ID: W4404184714