Evidence map›Paper›PMID 23574159›Full record

ReviewCNS & neurological disorders drug targets2013

N-3 (omega-3) polyunsaturated Fatty acids in the pathophysiology and treatment of depression: pre-clinical evidence.

Beth Levant

Abstract readReview
In one paragraph

Review in CNS & neurological disorders drug targets, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 51 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Beth LevantDepartment of Pharmacology, University of Kansas Medical Center, MS-1018, 3901 Rainbow Blvd., Kansas City, KS 66160, USA. blevant@kumc.edu
University of Kansas Medical Center · US

Funding

UNDERSTANDING THE ROLE OF SMALL RNAS IN ARABIDOPSIS POLLEN DEVELOPMENTP20RR016475 · NCRR · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ACKLEY, BRIAN DOUGLAS · 2001 to 2011
$38.1M
Research Design and Analysis Core (RDAC)P30HD002528 · NICHD · UNIVERSITY OF KANSAS LAWRENCE · PI FOWLER, STEPHEN CLETIUS · 1985 to 2015
$22.1M
Brain LC-PUFAs and Maternal Mental HealthR01MH071599 · NIMH · UNIVERSITY OF KANSAS MEDICAL CENTER · PI LEVANT, BETH · 2004 to 2006
$680k
NCRR NIH HHS P20 RR016475NICHD NIH HHS P30 HD002528NICHD NIH HHS P30 HD02528NIMH NIH HHS NIH R01MH071599NIMH NIH HHS R01 MH071599
6 · The paper itself

Abstract

A growing literature suggests the association of low tissue levels and/or dietary intake of n-polyunsaturated fatty acids (PUFA) with depressive illnesses. Animal studies show that low tissue and/or dietary n-3 PUFAs can lead to behaviors and neurobiological effects associated with depression and can potentiate the consequences of stress, whereas higher levels have the opposite effect. These data support the involvement of n-3 PUFAs levels in the disease processes underlying depression. In addition, these pre-clinical findings indicate neurobiological mechanisms whereby n-3 PUFAs may contribute to the disease including control of serotonergic and dopaminergic function, modulation of brain-derived neurotrophic factor (BDNF) in the hippocampus, regulation of the hypothalamic-pituitary-adrenal axis, and effects on neuroinflammation. This evidence for a role for n-3 PUFA in the pathophysiology and treatment of depressive illness are reviewed. The implications of these finding for future pre-clinical research and clinical application are discussed.

Indexed as

Drug Evaluation, PreclinicalAnimalsBrainDepressionDisease Models, AnimalFatty Acids, Omega-3HumansFatty Acids, Omega-3

Identifiers

PMID23574159
PMCPMC4115447
OpenAlexW2059488711

What OpenQuestion holds

Textmetadata
LicenceTDM
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.