Evidence map›Paper›PMID 29113676›Full record

ArticleBiophysical journal2017

Computational Lipidomics of the Neuronal Plasma Membrane.

Helgi I Ingólfsson, Timothy S Carpenter, Harsh Bhatia, Peer-Timo Bremer, Siewert J Marrink, Felice C Lightstone

Open access · hybridAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed
9.4field-weighted citation impact, top 1% 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

112 citing papers in PubMed, 305 citations in OpenAlex.

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  8. A lifespan staging model of basal forebrain cholinergic vulnerability.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  14. Peptide Electrostatic Modulation Directs Human Neural Cell Fate.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  15. Direct modulation of human GABA-A αFrontiers in neuroscience · 2026
    Review
  16. Review
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52 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

6 authors at 2 institutions in 2 countries.

Helgi I IngólfssonBiosciences and Biotechnology Division, Physical and Life Sciences Directorate.
Timothy S CarpenterBiosciences and Biotechnology Division, Physical and Life Sciences Directorate.
Harsh BhatiaCenter for Applied Scientific Computing (CASC), Computational Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Peer-Timo BremerCenter for Applied Scientific Computing (CASC), Computational Directorate, Lawrence Livermore National Laboratory, Livermore, California.
Siewert J MarrinkGroningen Biomolecular Science and Biotechnology Institute and the Zernike Institute for Advanced Materials, University of Groningen, Groningen, the Netherlands.
Felice C LightstoneBiosciences and Biotechnology Division, Physical and Life Sciences Directorate. Electronic address: lightstone1@llnl.gov.
Lawrence Livermore National Laboratory · USUniversity of Groningen · NL

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Membrane lipid composition varies greatly within submembrane compartments, different organelle membranes, and also between cells of different cell stage, cell and tissue types, and organisms. Environmental factors (such as diet) also influence membrane composition. The membrane lipid composition is tightly regulated by the cell, maintaining a homeostasis that, if disrupted, can impair cell function and lead to disease. This is especially pronounced in the brain, where defects in lipid regulation are linked to various neurological diseases. The tightly regulated diversity raises questions on how complex changes in composition affect overall bilayer properties, dynamics, and lipid organization of cellular membranes. Here, we utilize recent advances in computational power and molecular dynamics force fields to develop and test a realistically complex human brain plasma membrane (PM) lipid model and extend previous work on an idealized, "average" mammalian PM. The PMs showed both striking similarities, despite significantly different lipid composition, and interesting differences. The main differences in composition (higher cholesterol concentration and increased tail unsaturation in brain PM) appear to have opposite, yet complementary, influences on many bilayer properties. Both mixtures exhibit a range of dynamic lipid lateral inhomogeneities ("domains"). The domains can be small and transient or larger and more persistent and can correlate between the leaflets depending on lipid mixture, Brain or Average, as well as on the extent of bilayer undulations.

Indexed as

Cell MembraneHumansMembrane LipidsModels, MolecularMolecular ConformationNeuronsMembrane Lipids

Identifiers

PMID29113676
PMCPMC5700369
OpenAlexW2765252959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.