Evidence map›Paper›PMID 22802875›Full record

ArticleF1000 biology reports2012

Crosstalk between metabolic and neuropsychiatric disorders.

Oksana Kaidanovich-Beilin, Danielle S Cha, Roger S McIntyre

Abstract read
In one paragraph

Article in F1000 biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  9. Review
  10. Review
  11. Curcumin regulates insulin pathways and glucose metabolism in the brains of APPswe/PS1dE9 mice.International journal of immunopathology and pharmacology · 2017
    Article
  12. Epigenetics and energetics in ventral hippocampus mediate rapid antidepressant action: Implications for treatment resistance.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  13. Article
  14. Article
  15. Review
  16. A constraint-based modelling approach to metabolic dysfunction in Parkinson's disease.Computational and structural biotechnology journal · 2015
    Review
  17. Review
  18. Review
  19. Review
  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.

Oksana Kaidanovich-Beilin
Danielle S Cha
Roger S McIntyre

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence supporting the concurrence of metabolic disturbances (e.g. insulin resistance, diabetes and obesity) and neuropsychiatric disorders has been demonstrated in both human and animal studies, suggesting the possibility that they have shared pathophysiological mechanisms. During the past decade, our understanding for the role of insulin in both normal and abnormal central nervous system (CNS) processes has become increasingly refined. Evidence indicates that insulin is a pleiotropic peptide, critical to neurotrophism, neuroplasticity, and neuromodulation. Moreover, the role of insulin underscores its importance in the development of several neuropsychiatric disorders, including, but not limited to, mechanisms involved in the pathogenesis and progression towards diabetes, obesity, and neurodegenerative disorders, such as Alzheimer's disease. This review focuses on the insulin-mediated effects on normal and abnormal brain function and discusses why targeting insulin-related pathways in the brain may emerge as a new approach for refining treatment of neurological and psychiatric disorders.

Identifiers

PMID22802875
PMCPMC3388805

What OpenQuestion holds

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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.