Evidence map›Paper›PMID 32745806›Full record

ArticleNeurobiology of aging2020

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

Danielle L Brokaw, Ignazio S Piras, Diego Mastroeni, Daniel J Weisenberger, Jennifer Nolz, Elaine Delvaux, Geidy E Serrano, Thomas G Beach, Matthew J Huentelman, Paul D Coleman

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Decoding Alzheimer's Disease One Cell Class at a Time.Cellular and molecular neurobiology · 2026
    Review
  6. Article
  7. Article
  8. DNA Methylation in Alzheimer's Disease.Current topics in behavioral neurosciences · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Pin1 and Alzheimer's disease.Translational research : the journal of laboratory and clinical medicine · 2023
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Danielle L BrokawASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA. Electronic address: dlbrokaw@asu.edu.
Ignazio S PirasTranslational Genomics Research Institute, Neurogenomics Division, Phoenix, AZ, USA.
Diego MastroeniASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA.
Daniel J WeisenbergerKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Jennifer NolzASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA.
Elaine DelvauxASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA.
Geidy E SerranoCivin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA.
Thomas G BeachCivin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA.
Matthew J HuentelmanTranslational Genomics Research Institute, Neurogenomics Division, Phoenix, AZ, USA.
Paul D ColemanASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA.
Arizona State University · USBanner Sun Health Research Institute · USTranslational Genomics Research Institute · USUniversity of Southern California · US

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
DNA methylation in Alzheimer?s disease and normally aged brainR01AG036400 · NIA · BANNER SUN HEALTH RESEARCH INSTITUTE · PI COLEMAN, PAUL D · 2009 to 2013
$2.0M
NIA NIH HHS P30 AG019610NIA NIH HHS R01 AG036400NINDS NIH HHS U24 NS072026
6 · The paper itself

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.

Indexed as

ApoptosisCell SurvivalAlzheimer DiseaseComputational BiologyDatasets as TopicDNA MethylationEpigenomeHippocampusHumansNeuronsTemporal LobeTranscriptomeAlzheimer'sBioinformaticsCell deathCell survivalDNA methylationExpressionMethylomeTranscriptome

Identifiers

PMID32745806
PMCPMC7609561
OpenAlexW3038452274

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.