Evidence map›Paper›PMID 36038539›Full record

ReviewTranslational psychiatry2022

Insulin signaling as a therapeutic mechanism of lithium in bipolar disorder.

Iain H Campbell, Harry Campbell, Daniel J Smith

Open access · goldAbstract readReview
In one paragraph

Review in Translational psychiatry, 2022. 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
7.2field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 49 citations in OpenAlex.

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  18. Special Issue "Pathophysiology and Treatment of Alzheimer's Disease".International journal of molecular sciences · 2024
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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.

Iain H CampbellCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. iain.campbell@ed.ac.uk.ORCID http://orcid.org/0000-0001-8756-1326
Harry CampbellCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Daniel J SmithCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we propose that lithium may exert its therapeutic effect in bipolar disorder by acting on insulin signaling pathways. Specifically, we assess the importance of the phosphatidylinositol 3-kinase/Protein Kinase B (PI3K/Akt) insulin signaling pathway and we assess how the action of lithium on both glycogen synthase kinase-3 (GSK3) and the phosphatidylinositol cycle may lead to mood stabilization mediated by PI3K/Akt insulin signaling. We also highlight evidence that several other actions of lithium (including effects on Akt, Protein kinase C (PKC), and sodium myo-inositol transporters) are putative mediators of insulin signaling. This novel mode of action of lithium is consistent with an emerging consensus that energy dysregulation represents a core deficit in bipolar disorder. It may also provide context for the significant co-morbidity between bipolar disorder, type 2 diabetes, and other forms of metabolic illness characterized by impaired glucose metabolism. It is suggested that developments in assessing neuronal insulin signaling using extracellular vesicles would allow for this hypothesis to be tested in bipolar disorder patients.

Indexed as

Bipolar DisorderDiabetes Mellitus, Type 2Glycogen Synthase Kinase 3HumansInsulinLithiumPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSignal TransductionGlycogen Synthase Kinase 3InsulinLithiumPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-akt

Identifiers

PMID36038539
PMCPMC9424309
OpenAlexW4293777896

What OpenQuestion holds

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LicenceCC BY
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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.