Literature DB >> 23369545

A preliminary study of the whole-genome expression profile of sporadic and monogenic early-onset Alzheimer's disease.

Anna Antonell1, Albert Lladó, Jordi Altirriba, Teresa Botta-Orfila, Mircea Balasa, Manel Fernández, Isidre Ferrer, Raquel Sánchez-Valle, José Luis Molinuevo.   

Abstract

Alzheimer's disease (AD) is the most common neurodegenerative dementia. Approximately 10% of cases present at an age of onset before 65 years old, which in turn can be monogenic familial AD (FAD) or sporadic early-onset AD (sEOAD). Mutations in PSEN1, PSEN2, and APP genes have been linked with FAD. The aim of our study is to describe the brain whole-genome RNA expression profile of the posterior cingulate area in sEOAD and FAD caused by PSEN1 mutations (FAD-PSEN1). Fourteen patients (7 sEOAD and 7 FAD-PSEN1) and 7 neurologically healthy control subjects were selected and whole-genome expression was measured using Affymetrix Human Gene 1.1 microarrays. We identified statistically significant expression changes in sEOAD and FAD-PSEN1 brains with respect to control subjects (3183 and 3350 differentially expressed genes [DEG] respectively, false discovery rate-corrected p < 0.05). Of them, 1916 DEG were common between the 2 comparisons. We did not identify DEG between sEOAD and FAD-PSEN1. Microarray data were validated through real-time quantitative polymerase chain reaction. In silico analysis of DEG revealed an alteration in biological pathways related to intracellular signaling pathways (particularly calcium signaling), neuroactive ligand-receptor interactions, axon guidance, and long-term potentiation in both groups of patients. In conclusion, the altered biological final pathways in sEOAD and FAD-PSEN1 are mainly related with cell signaling cascades, synaptic plasticity, and learning and memory processes. We hypothesize that these 2 groups of early-onset AD with distinct etiologies and likely different could present a neurodegenerative process with potential different pathways that might converge in a common and similar final stage of the disease.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23369545     DOI: 10.1016/j.neurobiolaging.2012.12.026

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  37 in total

1.  Defective Transcytosis of APP and Lipoproteins in Human iPSC-Derived Neurons with Familial Alzheimer's Disease Mutations.

Authors:  Grace Woodruff; Sol M Reyna; Mariah Dunlap; Rik Van Der Kant; Julia A Callender; Jessica E Young; Elizabeth A Roberts; Lawrence S B Goldstein
Journal:  Cell Rep       Date:  2016-10-11       Impact factor: 9.423

2.  Altered Blood Gene Expression of Tumor-Related Genes (PRKCB, BECN1, and CDKN2A) in Alzheimer's Disease.

Authors:  Anna Antonell; Albert Lladó; Raquel Sánchez-Valle; Coral Sanfeliu; Teresa Casserras; Lorena Rami; Cristina Muñoz-García; Adrià Dangla-Valls; Mircea Balasa; Patricia Boya; Susana G Kalko; José Luis Molinuevo
Journal:  Mol Neurobiol       Date:  2015-10-28       Impact factor: 5.590

3.  A transcriptional signature of Alzheimer's disease is associated with a metastable subproteome at risk for aggregation.

Authors:  Prajwal Ciryam; Rishika Kundra; Rosie Freer; Richard I Morimoto; Christopher M Dobson; Michele Vendruscolo
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-11       Impact factor: 11.205

4.  Proteins recruited to exosomes by tau overexpression implicate novel cellular mechanisms linking tau secretion with Alzheimer's disease.

Authors:  Sudad Saman; Norman C Y Lee; Itoro Inoyo; Jun Jin; Zhihan Li; Thomas Doyle; Ann C McKee; Garth F Hall
Journal:  J Alzheimers Dis       Date:  2014       Impact factor: 4.472

5.  Global analysis of S-nitrosylation sites in the wild type (APP) transgenic mouse brain-clues for synaptic pathology.

Authors:  Monika Zaręba-Kozioł; Agnieszka Szwajda; Michał Dadlez; Aleksandra Wysłouch-Cieszyńska; Maciej Lalowski
Journal:  Mol Cell Proteomics       Date:  2014-06-03       Impact factor: 5.911

6.  The application of weighted gene co-expression network analysis in identifying key modules and hub genes associated with disease status in Alzheimer's disease.

Authors:  Yan Sun; Jinghan Lin; Liming Zhang
Journal:  Ann Transl Med       Date:  2019-12

7.  G-protein genomic association with normal variation in gray matter density.

Authors:  Jiayu Chen; Vince D Calhoun; Alejandro Arias-Vasquez; Marcel P Zwiers; Kimm van Hulzen; Guillén Fernández; Simon E Fisher; Barbara Franke; Jessica A Turner; Jingyu Liu
Journal:  Hum Brain Mapp       Date:  2015-08-07       Impact factor: 5.038

Review 8.  Emerging pathways driving early synaptic pathology in Alzheimer's disease.

Authors:  Clark A Briggs; Shreaya Chakroborty; Grace E Stutzmann
Journal:  Biochem Biophys Res Commun       Date:  2016-09-20       Impact factor: 3.575

Review 9.  Elevating the Levels of Calcium Ions Exacerbate Alzheimer's Disease via Inducing the Production and Aggregation of β-Amyloid Protein and Phosphorylated Tau.

Authors:  Pei-Pei Guan; Long-Long Cao; Pu Wang
Journal:  Int J Mol Sci       Date:  2021-05-31       Impact factor: 5.923

10.  Machine learning compensates fold-change method and highlights oxidative phosphorylation in the brain transcriptome of Alzheimer's disease.

Authors:  Jack Cheng; Hsin-Ping Liu; Wei-Yong Lin; Fuu-Jen Tsai
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.379

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