Evidence map›Paper›PMID 21629439›Full record

ArticleCurrent genomics2010

Functional genomics of brain aging and Alzheimer's disease: focus on selective neuronal vulnerability.

Xinkun Wang, Mary L Michaelis, Elias K Michaelis

Open access · bronzeAbstract read
In one paragraph

Article in Current genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Anti-inflammatory effects ofScientific reports · 2025
    Article
  6. Molecules (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Novel methodology for detection and prediction of mild cognitive impairment using resting-state EEG.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

3 authors at 1 institution in 1 country.

Xinkun WangHiguchi Biosciences Center and Department of Pharmacology and Toxicology, The University of Kansas, Lawrence, KS 66047, USA.
Mary L Michaelis
Elias K Michaelis
University of Kansas · US

Funding

Research Design and Analysis Core (RDAC)P30HD002528 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI FOWLER, STEPHEN CLETIUS · 1985 to 2015
$22.1M
SARCOPENIA AND APOPTOSIS: ROLE OF SERCA AND BCL-2P01AG012993 · NIA · UNIVERSITY OF KANSAS LAWRENCE · PI MICHAELIS, ELIAS K · 1995 to 2012
$14.0M
Proteomic characterization of aging cerebellumR01AG025350 · NIA · UNIVERSITY OF KANSAS LAWRENCE · PI SCHONEICH, CHRISTIAN · 2004 to 2008
$1.4M
NIA NIH HHS P01 AG012993NIA NIH HHS R01 AG025350NICHD NIH HHS P30 HD002528
6 · The paper itself

Abstract

Pivotal brain functions, such as neurotransmission, cognition, and memory, decline with advancing age and, especially, in neurodegenerative conditions associated with aging, such as Alzheimer's disease (AD). Yet, deterioration in structure and function of the nervous system during aging or in AD is not uniform throughout the brain. Selective neuronal vulnerability (SNV) is a general but sometimes overlooked characteristic of brain aging and AD. There is little known at the molecular level to account for the phenomenon of SNV. Functional genomic analyses, through unbiased whole genome expression studies, could lead to new insights into a complex process such as SNV. Genomic data generated using both human brain tissue and brains from animal models of aging and AD were analyzed in this review. Convergent trends that have emerged from these data sets were considered in identifying possible molecular and cellular pathways involved in SNV. It appears that during normal brain aging and in AD, neurons vulnerable to injury or cell death are characterized by significant decreases in the expression of genes related to mitochondrial metabolism and energy production. In AD, vulnerable neurons also exhibit down-regulation of genes related to synaptic neurotransmission and vesicular transport, cytoskeletal structure and function, and neurotrophic factor activity. A prominent category of genes that are up-regulated in AD are those related to inflammatory response and some components of calcium signaling. These genomic differences between sensitive and resistant neurons can now be used to explore the molecular underpinnings of previously suggested mechanisms of cell injury in aging and AD.

Indexed as

agingAlzheimer’s diseaseenergy metabolismfunctional genomicsneuroinflammationSelective neuronal vulnerabilitysynaptic neurotransmission.

Identifiers

PMID21629439
PMCPMC3078686
OpenAlexW2157921593

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.