Evidence map›Paper›PMID 22635052›Full record

ArticleAutophagy2012

The downward spiral of tau and autolysosomes: a new hypothesis in neurodegeneration.

Suren S Ambegaokar, George R Jackson

Open access · hybridAbstract readComment
In one paragraph

Article in Autophagy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Role of miRNAs in Alzheimer's Disease and Possible Fields of Application.International journal of molecular sciences · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Suren S AmbegaokarDepartment of Neurology, University of Texas Medical Branch, Galveston, TX, USA.
George R Jackson
The University of Texas Medical Branch at Galveston · US

Funding

Molecular Genetics of Tau-Associated NeurodegenerationR01NS046489 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JACKSON, GEORGE R · 2004 to 2007
$1.4M
NINDS NIH HHS R01 NS046489
6 · The paper itself

Abstract

A growing body of research has connected autophagy to neurodegenerative diseases such as Alzheimer disease (AD). In autopsied AD brain, large multivesicular bodies accumulate in neurons. Knockout mice deficient for key autophagy genes demonstrate age-dependent neurodegeneration. Most neurodegenerative diseases are characterized by accumulation of insoluble protein species; the type of protein and the location of aggregates within the nervous system help to define the type of disorder. It has been hypothesized that the inability to degrade such aggregates is a major causative factor in neuronal dysfunction and eventual neuronal death. As neurons are postmitotic and thus cannot regenerate themselves, mechanisms of protein clearance have received much attention in the field. The function of the ubiquitin-proteasome system (UPS) is impaired in models of neurodegeneration, and overexpression of chaperone proteins, such as those in the HSP70 family, leads to beneficial effects in many models of proteinopathies. Recently, studies of the effects of autophagy as a clearance mechanism have uncovered compelling evidence that inducing autophagy can alleviate many pathogenic and behavioral symptoms in animal and cellular models of neurodegeneration.

Indexed as

Genetic TestingAnimalsDrosophila melanogasterGene Regulatory NetworksGenes, ModifierGenomicsHumansTauopathiestau Proteinstau ProteinsAlzheimer diseaseDrosophilaMAPT/taumicrotubulephosphorylation

Identifiers

PMID22635052
PMCPMC3429552
OpenAlexW2029706844

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.