Literature DB >> 32745806

Cell death and survival pathways in Alzheimer's disease: an integrative hypothesis testing approach utilizing -omic data sets.

Danielle L Brokaw1, Ignazio S Piras2, Diego Mastroeni3, Daniel J Weisenberger4, Jennifer Nolz3, Elaine Delvaux3, Geidy E Serrano5, Thomas G Beach5, Matthew J Huentelman2, Paul D Coleman3.   

Abstract

Whether a cell lives or dies is controlled by an array of intercepting and dynamic molecular pathways. Although there is evidence of neuronal loss in Alzheimer's disease (AD) and multiple programmed cell death (PCD) pathways have been implicated in this process, there has been no comprehensive evaluation of the dominant pathway responsible for cell death in AD. Likewise, the relative dominance of survival and PCD pathways in AD remains unclear. Here, we present the results of hypothesis-driven bioinformatic analysis of PCD and survival pathway activation in paired methylation and expression data from the middle temporal gyrus (MTG) as well as expression from laser-captured cells from the MTG and hippocampus. The results not only indicate activation of cell death pathways in AD-of which apoptosis is responsible for the largest fraction of upregulated genes-but also of cell survival pathways. These results are indicative of a complex balance between survival and death pathways in AD that future studies should work to delineate at a single cell level.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's; Bioinformatics; Cell death; Cell survival; DNA methylation; Expression; Methylome; Transcriptome

Mesh:

Year:  2020        PMID: 32745806      PMCID: PMC7609561          DOI: 10.1016/j.neurobiolaging.2020.06.022

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


  75 in total

1.  Using control genes to correct for unwanted variation in microarray data.

Authors:  Johann A Gagnon-Bartsch; Terence P Speed
Journal:  Biostatistics       Date:  2011-11-17       Impact factor: 5.899

Review 2.  The nuclear factor NF-kappaB pathway in inflammation.

Authors:  Toby Lawrence
Journal:  Cold Spring Harb Perspect Biol       Date:  2009-10-07       Impact factor: 10.005

3.  Activation of caspase-3 in single neurons and autophagic granules of granulovacuolar degeneration in Alzheimer's disease. Evidence for apoptotic cell death.

Authors:  C Stadelmann; T L Deckwerth; A Srinivasan; C Bancher; W Brück; K Jellinger; H Lassmann
Journal:  Am J Pathol       Date:  1999-11       Impact factor: 4.307

4.  Family history of Alzheimer disease predicts hippocampal atrophy in healthy middle-aged adults.

Authors:  O C Okonkwo; G Xu; N M Dowling; B B Bendlin; A Larue; B P Hermann; R Koscik; E Jonaitis; H A Rowley; C M Carlsson; S Asthana; M A Sager; S C Johnson
Journal:  Neurology       Date:  2012-05-16       Impact factor: 9.910

5.  In situ labeling of dying cortical neurons in normal aging and in Alzheimer's disease: correlations with senile plaques and disease progression.

Authors:  J C Troncoso; R R Sukhov; C H Kawas; V E Koliatsos
Journal:  J Neuropathol Exp Neurol       Date:  1996-11       Impact factor: 3.685

6.  Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.

Authors:  Martin J Aryee; Andrew E Jaffe; Hector Corrada-Bravo; Christine Ladd-Acosta; Andrew P Feinberg; Kasper D Hansen; Rafael A Irizarry
Journal:  Bioinformatics       Date:  2014-01-28       Impact factor: 6.937

7.  Volume and number of neurons of the human hippocampal formation in normal aging and Alzheimer's disease.

Authors:  G Simić; I Kostović; B Winblad; N Bogdanović
Journal:  J Comp Neurol       Date:  1997-03-24       Impact factor: 3.215

8.  Arizona Study of Aging and Neurodegenerative Disorders and Brain and Body Donation Program.

Authors:  Thomas G Beach; Charles H Adler; Lucia I Sue; Geidy Serrano; Holly A Shill; Douglas G Walker; LihFen Lue; Alex E Roher; Brittany N Dugger; Chera Maarouf; Alex C Birdsill; Anthony Intorcia; Megan Saxon-Labelle; Joel Pullen; Alexander Scroggins; Jessica Filon; Sarah Scott; Brittany Hoffman; Angelica Garcia; John N Caviness; Joseph G Hentz; Erika Driver-Dunckley; Sandra A Jacobson; Kathryn J Davis; Christine M Belden; Kathy E Long; Michael Malek-Ahmadi; Jessica J Powell; Lisa D Gale; Lisa R Nicholson; Richard J Caselli; Bryan K Woodruff; Steven Z Rapscak; Geoffrey L Ahern; Jiong Shi; Anna D Burke; Eric M Reiman; Marwan N Sabbagh
Journal:  Neuropathology       Date:  2015-01-26       Impact factor: 1.906

9.  Caspase-6 activation in familial alzheimer disease brains carrying amyloid precursor protein or presenilin i or presenilin II mutations.

Authors:  Steffen Albrecht; Nenad Bogdanovic; Bernardino Ghetti; Bengt Winblad; Andréa C LeBlanc
Journal:  J Neuropathol Exp Neurol       Date:  2009-12       Impact factor: 3.685

10.  Decreased cognition in children with risk factors for Alzheimer's disease.

Authors:  Cinnamon S Bloss; Dean C Delis; David P Salmon; Mark W Bondi
Journal:  Biol Psychiatry       Date:  2008-08-22       Impact factor: 13.382

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  4 in total

Review 1.  Gene-environment interactions in Alzheimer disease: the emerging role of epigenetics.

Authors:  Lucia Migliore; Fabio Coppedè
Journal:  Nat Rev Neurol       Date:  2022-09-30       Impact factor: 44.711

2.  A meta-analysis of epigenome-wide association studies in Alzheimer's disease highlights novel differentially methylated loci across cortex.

Authors:  Rebecca G Smith; Ehsan Pishva; Gemma Shireby; Adam R Smith; Janou A Y Roubroeks; Eilis Hannon; Gregory Wheildon; Diego Mastroeni; Gilles Gasparoni; Matthias Riemenschneider; Armin Giese; Andrew J Sharp; Leonard Schalkwyk; Vahram Haroutunian; Wolfgang Viechtbauer; Daniel L A van den Hove; Michael Weedon; Danielle Brokaw; Paul T Francis; Alan J Thomas; Seth Love; Kevin Morgan; Jörn Walter; Paul D Coleman; David A Bennett; Philip L De Jager; Jonathan Mill; Katie Lunnon
Journal:  Nat Commun       Date:  2021-06-10       Impact factor: 14.919

3.  A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer's disease.

Authors:  Yanting Huang; Xiaobo Sun; Huige Jiang; Shaojun Yu; Chloe Robins; Matthew J Armstrong; Ronghua Li; Zhen Mei; Xiaochuan Shi; Ekaterina Sergeevna Gerasimov; Philip L De Jager; David A Bennett; Aliza P Wingo; Peng Jin; Thomas S Wingo; Zhaohui S Qin
Journal:  Nat Commun       Date:  2021-07-22       Impact factor: 17.694

Review 4.  c-Jun N-Terminal Kinase Inhibitors as Potential Leads for New Therapeutics for Alzheimer's Diseases.

Authors:  Stephanie Cristine Hepp Rehfeldt; Fernanda Majolo; Márcia Inês Goettert; Stefan Laufer
Journal:  Int J Mol Sci       Date:  2020-12-18       Impact factor: 6.208

  4 in total

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