Evidence map›Paper›PMID 18769445›Full record

ReviewNature reviews. Neuroscience2008

The insulin paradox: aging, proteotoxicity and neurodegeneration.

Ehud Cohen, Andrew Dillin

Abstract readReview
In one paragraph

Review in Nature reviews. Neuroscience, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed
–field-weighted citation impact
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

146 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Role of the Insulin-like Growth Factor System in Neurodegenerative Disease.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. Probiotic effects ofFrontiers in physiology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

86 more citing papers are in PubMed but not listed here.

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

2 authors.

Ehud CohenMolecular and Cell Biology Laboratory, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA. ecohen@salk.edu
Andrew Dillin

Funding

Specifying Insulin/IGF-1 Signaling in C. elegansR01DK070696 · NIDDK · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI DILLIN, ANDREW G · 2005 to 2009
$1.9M
NIDDK NIH HHS R01 DK070696
6 · The paper itself

Abstract

Distinct human neurodegenerative diseases share remarkably similar temporal emergence patterns, even though different toxic proteins are involved in their onset. Typically, familial neurodegenerative diseases emerge during the fifth decade of life, whereas sporadic cases do not exhibit symptoms earlier than the seventh decade. Recently, mechanistic links between the aging process and toxic protein aggregation, a common hallmark of neurodegenerative diseases, have been revealed. The insulin/insulin-like growth factor 1 (IGF1) signalling pathway - a lifespan, metabolism and stress-resistance regulator - links neurodegeneration to the aging process. Thus, although a reduction of insulin signalling can result in diabetes, its reduction can also increase longevity and delay the onset of protein-aggregation-mediated toxicity. Here we review this apparent paradox and delineate the therapeutic potential of manipulating the insulin/IGF1 signalling pathway for the treatment of neurodegenerative diseases.

Indexed as

AgingAnimalsDiabetes MellitusHumansInclusion BodiesInsulinInsulin-Like Growth Factor ILongevityNerve Tissue ProteinsNeurodegenerative DiseasesSignal TransductionInsulinInsulin-Like Growth Factor INerve Tissue Proteins

Identifiers

PMID18769445
PMCPMC2692886

What OpenQuestion holds

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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.