Evidence map›Paper›PMID 41764409›Full record

ArticleBioinformatics (Oxford, England)2026

Functional lipid analysis via index-based lipidomics profile: a new computational module in LipidOne.

Husam B R Alabed, Dorotea Frongia Mancini, Martina Pergola, Luigina Romani, Sabata Martino, Albert Koulman, Roberto Maria Pellegrino

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Husam B R AlabedInstitute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.ORCID 0000-0002-9229-088X
Dorotea Frongia ManciniDepartment of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy.
Martina PergolaDepartment of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy.
Luigina RomaniSan Raffaele Research Center, Sulmona, L'Aquila, Italy.
Sabata MartinoDepartment of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy.
Albert KoulmanInstitute of Metabolic Science-Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.
Roberto Maria PellegrinoDepartment of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy.ORCID 0000-0001-5594-383X

Funding

HDM-FUN 847507NIHR Cambridge Biomedical Research Centre NIHR203312Wellcome Trust 226800/Z/22/Z
6 · The paper itself

Abstract

motivationUnderstanding the functional roles of lipids is essential for interpreting metabolic phenotypes in health, disease, and dietary interventions. However, lipidomic analyses typically focus on individual lipid species, making it difficult to extract mechanistic and systems-level insights. We therefore asked how quantitative lipidomic data can be translated into biologically structured and function-oriented interpretations.

resultsHere, we present a major update to LipidOne (lipidone.eu), introducing the novel analytical module: Functional Lipid Analysis (FLA). FLA computes 42 indices describing lipid functions related to membrane structure, energy storage, and signaling. Indices are derived from lipid classes and fatty acyl-, alkyl-, and alkenyl-chain composition, statistically compared across experimental groups, and explored using multivariate and visualization tools. Each index is semantically annotated and linked to predicted protein mediators, enabling pathway- and network-based interpretation. Application to published datasets confirmed previous conclusions while uncovering additional biologically coherent functional insights. AVAILABILITY AND IMPLEMENTATION: New FLA module is freely available through LipidOne.eu web platform. The LipidOne FLA core R script (v1.0.0) is archived on Zenodo (DOI: 10.5281/zenodo.18468230). The LipidOne web platform is available at https://lipidone.eu.

Indexed as

Computational BiologyLipidomicsLipidsSoftwareLipid MetabolismLipids

Identifiers

PMID41764409
PMCPMC12970596

What Socratic holds

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LicenceCC BY
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Registered trials

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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.