[HTML][HTML] Identification of immune microenvironment subtypes and signature genes for Alzheimer's disease diagnosis and risk prediction based on explainable …

Y Lai, P Lin, F Lin, M Chen, C Lin, X Lin, L Wu… - Frontiers in …, 2022 - frontiersin.org
Background Using interpretable machine learning, we sought to define the immune
microenvironment subtypes and distinctive genes in AD. Methods ssGSEA, LASSO …

Development of a novel immune infiltration-related diagnostic model for Alzheimer's disease using bioinformatic strategies

X Zhuang, G Zhang, M Bao, G Jiang, H Wang… - Frontiers in …, 2023 - frontiersin.org
Background The pathogenesis of Alzheimer's disease (AD) is complex and multi-factorial.
Increasing evidence has shown the important role of immune infiltration in AD. Thus the …

Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer's disease based on interpretable machine learning

Y Lai, X Lin, C Lin, X Lin, Z Chen… - Frontiers in Pharmacology, 2022 - frontiersin.org
Introduction: Alzheimer's disease (AD) is a severe dementia with clinical and pathological
heterogeneity. Our study was aim to explore the roles of endoplasmic reticulum (ER) stress …

Development and validation of immune-based biomarkers and deep learning models for Alzheimer's disease

Y He, L Cong, Q He, N Feng, Y Wu - Frontiers in genetics, 2022 - frontiersin.org
Background: Alzheimer's disease (AD) is the most common form of dementia in old age and
poses a severe threat to the health and life of the elderly. However, traditional diagnostic …

[HTML][HTML] Identification of diagnostic signatures associated with immune infiltration in Alzheimer's disease by integrating bioinformatic analysis and machine-learning …

Y Tian, Y Lu, Y Cao, C Dang, N Wang… - Frontiers in Aging …, 2022 - frontiersin.org
Objective: As a chronic neurodegenerative disorder, Alzheimer's disease (AD) is the most
common form of progressive dementia. The purpose of this study was to identify diagnostic …

Discovery and validation of key biomarkers based on immune infiltrates in Alzheimer's disease

Z Liu, H Li, S Pan - Frontiers in Genetics, 2021 - frontiersin.org
Background As the most common neurodegenerative disease, Alzheimer's disease (AD)
leads to progressive loss of cognition and memory. Presently, the underlying pathogenic …

Identification of immune cells infiltrating in hippocampus and key genes associated with Alzheimer's disease

C Liu, S Xu, Q Liu, H Chai, Y Luo, S Li - BMC Medical Genomics, 2023 - Springer
Alzheimer's disease (AD) is the most prevalent cause of dementia and is primarily
associated with memory impairment and cognitive decline, but the etiology of AD has not …

Development and validation of a 13-gene signature associated with immune function for the detection of Alzheimer's disease

M Zhu, T Hou, L Jia, Q Tan, C Qiu, Y Du… - Neurobiology of …, 2023 - Elsevier
Current knowledge of Alzheimer's disease (AD) etiology and effective therapy remains
limited. Thus, the identification of biomarkers is crucial to improve the detection and …

[HTML][HTML] Integrating peripheral blood and brain transcriptomics to identify immunological features associated with Alzheimer's disease in mild cognitive impairment …

X Qian, X Liu, S Chen, H Tang - Frontiers in Immunology, 2022 - frontiersin.org
Background Immune system dysfunction has been proven to be an important pathological
event in Alzheimer's disease (AD). Mild cognitive impairment (MCI), as a transitional stage …

Identification of 5 potential predictive biomarkers for Alzheimer's disease by integrating the unified test for molecular signatures and weighted gene coexpression …

S Zhou, G Ma, H Luo, S Shan, J Xiong… - The Journals of …, 2023 - academic.oup.com
Background Previous transcriptome-wide association study (TWAS) has documented 21
genes associated with Alzheimer's disease (AD) risk, but the predictive biomarkers remain …