Evidence map›Paper›PMID 26095250›Full record

ArticleCell2015

A Conserved Circular Network of Coregulated Lipids Modulates Innate Immune Responses.

Marielle S Köberlin, Berend Snijder, Leonhard X Heinz, Christoph L Baumann, Astrid Fauster, Gregory I Vladimer, Anne-Claude Gavin, Giulio Superti-Furga

Open access · hybridAbstract read
In one paragraph

Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 1 pooled it
10.5field-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

115 citing papers in PubMed, 1 synthesis or guideline pooled it, 216 citations in OpenAlex.

  1. Aseptic meningitis and Fabry disease.Annals of clinical and translational neurology · 2024
    Pooled it
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  20. Alveolar and Bone Marrow-derived Macrophages Differ in Metabolism and Glutamine Utilization.American journal of respiratory cell and molecular biology · 2025
    Article

55 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

8 authors at 3 institutions in 2 countries.

Marielle S KöberlinCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.
Berend SnijderCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.
Leonhard X HeinzCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.
Christoph L BaumannCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.
Astrid FausterCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.
Gregory I VladimerCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria.
Anne-Claude GavinEuropean Molecular Biology Laboratory, EMBL, 69117 Heidelberg, Germany.
Giulio Superti-FurgaCeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria; Center for Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria. Electronic address: gsuperti@cemm.oeaw.ac.at.
CeMM Research Center for Molecular Medicine · ATAustrian Academy of Sciences · ATEuropean Molecular Biology Laboratory · DE

Funding

European Research Council 250179Telethon GTB12001
6 · The paper itself

Abstract

Lipid composition affects the biophysical properties of membranes that provide a platform for receptor-mediated cellular signaling. To study the regulatory role of membrane lipid composition, we combined genetic perturbations of sphingolipid metabolism with the quantification of diverse steps in Toll-like receptor (TLR) signaling and mass spectrometry-based lipidomics. Membrane lipid composition was broadly affected by these perturbations, revealing a circular network of coregulated sphingolipids and glycerophospholipids. This evolutionarily conserved network architecture simultaneously reflected membrane lipid metabolism, subcellular localization, and adaptation mechanisms. Integration of the diverse TLR-induced inflammatory phenotypes with changes in lipid abundance assigned distinct functional roles to individual lipid species organized across the network. This functional annotation accurately predicted the inflammatory response of cells derived from patients suffering from lipid storage disorders, based solely on their altered membrane lipid composition. The analytical strategy described here empowers the understanding of higher-level organization of membrane lipid function in diverse biological systems.

Indexed as

Immunity, InnateAnimalsCell MembraneFibroblastsGaucher DiseaseHumansInterleukin-6Leukodystrophy, Globoid CellLipidsMetabolic Networks and PathwaysMiceSphingolipidsToll-Like ReceptorsInterleukin-6LipidsSphingolipidsToll-Like Receptors

Identifiers

PMID26095250
PMCPMC4523684
OpenAlexW1504600256

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.