Evidence map›Paper›PMID 22943296›Full record

ArticleLipids in health and disease2012

Agonistic effect of polyunsaturated fatty acids (PUFAs) and its metabolites on brain-derived neurotrophic factor (BDNF) through molecular docking simulation.

Umashankar Vetrivel, Sathya Baarathi Ravichandran, Kaviarasan Kuppan, Jithu Mohanlal, Undurti Narasimha Das, Angayarkanni Narayanasamy

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

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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

12 citing papers in PubMed, 29 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

6 authors at 2 institutions in 1 country.

Umashankar VetrivelDepartment of Bioinformatics, Vision Research Foundation, Chennai 600006, India.
Sathya Baarathi Ravichandran
Kaviarasan Kuppan
Jithu Mohanlal
Undurti Narasimha Das
Angayarkanni Narayanasamy
Oil and Natural Gas Corporation (India) · INSeva Mandir · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrain-derived neurotrophic factor (BDNF) is a potent neurotrophic factor that is implicated in the regulation of food intake and body weight. Polyunsaturated fatty acids (PUFAs) localised in cell membranes have been shown to alter the levels of BDNF in the brain, suggesting that PUFAs and BDNF could have physical interaction with each other. To decipher the molecular mechanism through which PUFAs modulates BDNF's activity, molecular docking was performed for BDNF with PUFAs and its metabolites, with 4-Methyl Catechol as a control.

resultsInferring from molecular docking studies, lipoxin A4 (LXA4), and a known anti-inflammatory bioactive metabolite derived from PUFAs, with a binding energy of -3.98 Kcal/mol and dissociation constant of 1.2 mM showed highest binding affinity for BDNF in comparison to other PUFAs and metabolites considered in the study. Further, the residues Lys 18, Thr 20, Ala 21, Val 22, Phe 46, Glu 48, Lys 50, Lys 58, Thr 75, Gln 77, Arg 97 and Ile 98 form hot point motif, which on interaction enhances BDNF's function.

conclusionThese results suggest that PUFAs and their metabolites especially, LXA4, modulate insulin resistance by establishing a physical interaction with BDNF. Similar interaction(s) was noted between BDNF and resolvins and protectins but were of lesser intensity compared to LXA4.

Indexed as

Molecular Docking SimulationAmino Acid MotifsBrain-Derived Neurotrophic FactorCatecholsFatty Acids, UnsaturatedHumansHydrogen BondingProtein BindingProtein StabilityProtein Structure, TertiaryThermodynamics4-methylcatecholBrain-Derived Neurotrophic FactorCatecholsFatty Acids, Unsaturated

Identifiers

PMID22943296
PMCPMC3477081
OpenAlexW2114912994

What OpenQuestion holds

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LicenceCC BY
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.