Hippocampus neuronal metabolic gene expression outperforms whole tissue data in accurately predicting Alzheimer's disease progression-Reference-Cited by-同舟云学术

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Hippocampus neuronal metabolic gene expression outperforms whole tissue data in accurately predicting Alzheimer's disease progression

Published:2012-09 Issue:9 Volume:33 Page:2230.e13-2230.e21
ISSN:0197-4580
Container-title:Neurobiology of Aging
language:en
Short-container-title:Neurobiology of Aging

Author:

Stempler Shiri,Waldman Yedael Y.,Wolf Lior,Ruppin Eytan

Funder

Israeli Science Foundation

Publisher

Elsevier BV

Subject

Geriatrics and Gerontology,Developmental Biology,Neurology (clinical),Aging,General Neuroscience

Reference46 articles.

1. Neurodegenerative diseases and oxidative stress;Barnham;Nat. Rev. Drug Discov,2004

2. Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database;Bertram;Nat. Genet,2007

3. Incipient Alzheimer's disease: microarray correlation analyses reveal major transcriptional and tumor suppressor responses;Blalock;Proc. Natl. Acad. Sci. U. S. A,2004

4. Brain metabolism and brain disease: is metabolic deficiency the proximate cause of Alzheimer dementia?;Blass;J. Neurosci. Res,2001

5. Oxidative stress in Alzheimer disease: a possibility for prevention;Bonda;Neuropharmacology,2010

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1. Altered Gene Expression in Excitatory Neurons is Associated with Alzheimer’s Disease and Its Higher Incidence in Women;2022-08-16

2. Protective effects of Huang-Lian-Jie-Du-Tang against Aβ25–35-induced memory deficits and oxidative stress in rats;Journal of International Medical Research;2020-03

3. Amyloid β perturbs elevated heme flux induced with neuronal development;Alzheimer's & Dementia: Translational Research & Clinical Interventions;2019-01

4. Altered protein glycosylation predicts Alzheimer's disease and modulates its pathology in disease model Drosophila;Neurobiology of Aging;2017-08

5. The Bioinformatic Analysis of the Dysregulated Genes and MicroRNAs in Entorhinal Cortex, Hippocampus, and Blood for Alzheimer’s Disease;BioMed Research International;2017

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