Navigating the lipid universe with LipidLibrarian: a cross-linked database for lipidomics data integration.

Felix Niedermaier, Konstantinos Mechteridis, Konstantin Pelz, Vivian Würf, Nikolai Köhler, Josch K Pauling

Abstract read

In one paragraph

Article in Journal of lipid research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

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

6 authors.

Felix NiedermaierFaculty of Chemistry, Institute of Analytical Chemistry, University of Vienna, Vienna, Austria; Doctoral School of Chemistry (DoSChem), University of Vienna, Vienna, Austria; LipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.

Konstantinos MechteridisLipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.

Konstantin PelzLipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany; Data Science in Systems Biology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.

Vivian WürfLipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.

Nikolai KöhlerLipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany; Centre for Organismal Studies, Heidelberg University, Heidelberg, Germany.

Josch K PaulingLipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising, Germany; CIOBio, Institute for Clinical Chemistry and Laboratory Medicine, University Hospital and Faculty of Medicine Carl Gustav Carus, Dresden University of Technology, Dresden, Germany. Electronic address: josch.pauling@ukdd.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are numerous public resources and guidelines available for lipidomics research, including standard nomenclatures, classification systems, and lipid databases. However, these resources are not always aligned with one another, making it difficult to find and compare information on the same lipid across different databases. To tackle these challenges, we present LipidLibrarian, a lipid search engine that enables a combined search of all major lipid databases by aggregating the available information and presenting it in a unified manner. The three main sources of information that build the foundation of LipidLibrarian as a comprehensive search-engine are SwissLipids, LIPID MAPS, and ALEX

Indexed as

Databases, FactualLipidomicsLipidsSoftwareLipidsBiochemistryBioinformaticsDatabaseIntegrationLipidLipidomicsMass SpectrometryMetabolismMulti-omicsVisualization

Identifiers

PMID42055285

DOI10.1016/j.jlr.2026.101049

PMCPMC13320143

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.