AIMC Topic: Apolipoproteins E

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Icariin improves eNOS/NO pathway to prohibit the atherogenesis of apolipoprotein E-null mice.

Canadian journal of physiology and pharmacology Dec 22, 2016
Impaired endothelial nitric oxide synthase (eNOS)/nitric oxide (NO) pathway induces atherogenesis. The present study examined whether icariin improves the eNOS/NO pathway to prohibit the atherogenesis of apolipoprotein E-null (ApoE) mice. In vitro, p...
Gene Deletion Mice, Inbred C57BL Nitric Oxide Synthase Type III Humans Flavonoids Animals Atherosclerosis Mice Gene Expression Regulation, Enzymologic Nitric Oxide Apolipoproteins E
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Tribulus terrestris L. Extract Alleviates Atherosclerosis by Suppressing TNF-α-Mediated Macrophage Inflammation.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Aug 15, 2025
Atherosclerosis (AS) is a major contributor to cardiovascular disease. In traditional Chinese medicine, Tribulus terrestris L., or Baijili (BJL), has shown therapeutic effects on inflammation and cardiovascular issues. Our prior research indicated th...
Tumor Necrosis Factor-alpha Macrophages Animals Male Molecular Docking Simulation Mice, Knockout Atherosclerosis RAW 264.7 Cells Apolipoproteins E Tribulus Mice Plant Extracts Inflammation Mice, Inbred C57BL Diet, High-Fat
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The Critical Role of APOE+ Macrophages in the Immune Microenvironment and Prognosis of Lung Adenocarcinoma.

Journal of cellular and molecular medicine Aug 1, 2025
The immunoregulatory functions and clinical implications of APOE+ macrophages within the tumour microenvironment of lung adenocarcinoma remain incompletely defined. In this study, single-cell transcriptome analysis revealed distinct subsets of APOE+ ...
Lung Neoplasms Macrophage Migration-Inhibitory Factors Apolipoproteins E Adenocarcinoma of Lung Humans Macrophages Prognosis Female Aged Tumor Microenvironment Male Middle Aged
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Analysis of TEM micrographs with deep learning reveals APOE genotype-specific associations between HDL particle diameter and Alzheimer's dementia.

Cell reports methods Jan 27, 2025
High-density lipoprotein (HDL) particle diameter distribution is informative in the diagnosis of many conditions, including Alzheimer's disease (AD). However, obtaining an accurate HDL size measurement is challenging. We demonstrated the utility of m...
Lipoproteins, HDL Apolipoproteins E Male Deep Learning Humans Genotype Female Particle Size Aged Alzheimer Disease Aged, 80 and over
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Classifying Alzheimer's Disease Neuropathology Using Clinical and MRI Measurements.

Journal of Alzheimer's disease : JAD Jan 1, 2024
BACKGROUND: Computer-aided machine learning models are being actively developed with clinically available biomarkers to diagnose Alzheimer's disease (AD) in living persons. Despite considerable work with cross-sectional in vivo data, many models lack...
Neuropathology Middle Aged Magnetic Resonance Imaging Alzheimer Disease Apolipoproteins E Humans Machine Learning Brain Female Aged Aged, 80 and over Male
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Epistatic Features and Machine Learning Improve Alzheimer's Disease Risk Prediction Over Polygenic Risk Scores.

Journal of Alzheimer's disease : JAD Jan 1, 2024
BACKGROUND: Polygenic risk scores (PRS) are linear combinations of genetic markers weighted by effect size that are commonly used to predict disease risk. For complex heritable diseases such as late-onset Alzheimer's disease (LOAD), PRS models fail t...
Humans Machine Learning Female Aged Alzheimer Disease Apolipoproteins E Epistasis, Genetic Multifactorial Inheritance Genetic Risk Score Male Genome-Wide Association Study Genetic Predisposition to Disease Polymorphism, Single Nucleotide Models, Genetic
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MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.

Radiology Oct 1, 2023
Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in Alzheimer disease, but incurs considerable cost and exposure to ionizing radiation. MRI currently has limited use in characterizing ATN status. Deep learning techniq...
Amyloid tau Proteins Apolipoproteins E Cognitive Dysfunction Magnetic Resonance Imaging Amyloid beta-Peptides Alzheimer Disease Positron-Emission Tomography Female Aged Humans Male Deep Learning Biomarkers Retrospective Studies
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Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cos...
Humans Machine Learning Algorithms Female Reproducibility of Results Risk Factors Aged Amyloid beta-Peptides Positron-Emission Tomography Cognitive Dysfunction Hippocampus Cohort Studies Cerebral Cortex Apolipoproteins E Magnetic Resonance Imaging Neuropsychological Tests Mental Recall Predictive Value of Tests Area Under Curve Aged, 80 and over Male Middle Aged Disease Progression
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Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease.

Journal of Alzheimer's disease : JAD Jan 1, 2019
BACKGROUND: Predicting clinical course of cognitive decline can boost clinical trials' power and improve our clinical decision-making. Machine learning (ML) algorithms are specifically designed for the purpose of prediction; however. identifying opti...
Cerebral Cortex Apolipoproteins E Demography Models, Neurological Predictive Value of Tests Discriminant Analysis Alzheimer Disease Hippocampus Female Cognitive Dysfunction Aged Support Vector Machine Humans Aged, 80 and over Longitudinal Studies Machine Learning Male Magnetic Resonance Imaging Prognosis Middle Aged
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Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study.

Journal of Alzheimer's disease : JAD Jan 1, 2017
BACKGROUND AND OBJECTIVE: This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study.
Predictive Value of Tests Humans Supervised Machine Learning Apolipoproteins E Retrospective Studies Female Cerebrovascular Disorders Community Health Planning Severity of Illness Index Reproducibility of Results Neuropsychological Tests Dementia Risk Factors Finland ROC Curve Aged Cognition Male
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