Evidence map›Paper›PMID 35844525›Full record

ArticleFrontiers in immunology2022

Immunolipidomics Reveals a Globoside Network During the Resolution of Pro-Inflammatory Response in Human Macrophages.

Sneha Muralidharan, Federico Torta, Michelle K Lin, Antoni Olona, Marta Bagnati, Aida Moreno-Moral, Jeong-Hun Ko, Shanshan Ji, Bo Burla, Markus R Wenk and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Linking Lipid Metabolism and Immune Function: New Insights into Chronic Respiratory Diseases.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Review
  2. Article
  3. Article
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

13 authors at 6 institutions in 5 countries.

Sneha MuralidharanSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Federico TortaSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Michelle K LinSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Antoni OlonaProgram in Cardiovascular and Metabolic Disorders (CVMD) and Center for Computational Biology (CCB), Duke NUS Graduate Medical School, Singapore, Singapore.
Marta BagnatiDepartment of Immunology and Inflammation, Centre for Inflammatory Disease, Imperial College London, London, United Kingdom.
Aida Moreno-MoralProgram in Cardiovascular and Metabolic Disorders (CVMD) and Center for Computational Biology (CCB), Duke NUS Graduate Medical School, Singapore, Singapore.
Jeong-Hun KoDepartment of Immunology and Inflammation, Centre for Inflammatory Disease, Imperial College London, London, United Kingdom.
Shanshan JiSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Bo BurlaSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Markus R WenkSingapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
Hosana G RodriguesLaboratory of Nutrients and Tissue Repair, School of Applied Sciences, University of Campinas, Limeira, Brazil.
Enrico PetrettoProgram in Cardiovascular and Metabolic Disorders (CVMD) and Center for Computational Biology (CCB), Duke NUS Graduate Medical School, Singapore, Singapore.
Jacques BehmoarasProgram in Cardiovascular and Metabolic Disorders (CVMD) and Center for Computational Biology (CCB), Duke NUS Graduate Medical School, Singapore, Singapore.
National University of Singapore · SGImperial College London · GBDuke-NUS Medical School · SGInstitute for Stem Cell Biology and Regenerative Medicine · INMRC London Institute of Medical Sciences · GBUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

Medical Research Council MR/M004716/1Medical Research Council MR/N01121X/1
6 · The paper itself

Abstract

Toll-like receptor 4 (TLR4)-mediated changes in macrophages reshape intracellular lipid pools to coordinate an effective innate immune response. Although this has been previously well-studied in different model systems, it remains incompletely understood in primary human macrophages. Here we report time-dependent lipidomic and transcriptomic responses to lipopolysaccharide (LPS) in primary human macrophages from healthy donors. We grouped the variation of ~200 individual lipid species measured by LC-MS/MS into eight temporal clusters. Among all other lipids, glycosphingolipids (glycoSP) and cholesteryl esters (CE) showed a sharp increase during the resolution phase (between 8h or 16h post LPS). GlycoSP, belonging to the globoside family (Gb3 and Gb4), showed the greatest inter-individual variability among all lipids quantified. Integrative network analysis between GlycoSP/CE levels and genome-wide transcripts, identified Gb4 d18:1/16:0 and CE 20:4 association with subnetworks enriched for T cell receptor signaling (

Indexed as

GlobosidesLipopolysaccharidesMacrophagesChromatography, LiquidHumansTandem Mass SpectrometryGlobosidesLipopolysaccharidesglobosideshuman macrophageslipidomicsnetwork analysistranscriptomics

Identifiers

PMID35844525
PMCPMC9280915
OpenAlexW4283739902

What Socratic holds

Textmetadata
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 Socratic graph.