Evidence map›Paper›PMID 36319635›Full record

ArticleNature communications2022

Analytical and computational workflow for in-depth analysis of oxidized complex lipids in blood plasma.

Angela Criscuolo, Palina Nepachalovich, Diego Fernando Garcia-Del Rio, Mike Lange, Zhixu Ni, Massimo Baroni, Gabriele Cruciani, Laura Goracci, Matthias Blüher, Maria Fedorova

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 59 citations in OpenAlex.

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  13. Recommendations for robust and reproducible research on ferroptosis.Nature reviews. Molecular cell biology · 2025
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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

10 authors at 6 institutions in 3 countries.

Angela Criscuolo *Institute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, 04013, Leipzig, Germany.
Palina Nepachalovich *Center of Membrane Biochemistry and Lipid Research, Faculty of Medicine Carl Gustav Carus of TU Dresden, 01307, Dresden, Germany.
Diego Fernando Garcia-Del RioInstitute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, 04013, Leipzig, Germany.
Mike LangeInstitute of Bioanalytical Chemistry, Faculty of Chemistry and Mineralogy, University of Leipzig, 04013, Leipzig, Germany.
Zhixu NiCenter of Membrane Biochemistry and Lipid Research, Faculty of Medicine Carl Gustav Carus of TU Dresden, 01307, Dresden, Germany.ORCID 0000-0003-3662-2621
Massimo BaroniMolecular Discovery, Kinetic Business Centre, Borehamwood, WD6 4PJ, Hertfordshire, UK.ORCID 0000-0003-0866-148X
Gabriele CrucianiDepartment of Chemistry, Biology and Biotechnology, University of Perugia, 06123, Perugia, Italy.ORCID 0000-0002-4162-8692
Laura GoracciDepartment of Chemistry, Biology and Biotechnology, University of Perugia, 06123, Perugia, Italy.
Matthias BlüherMedical Department III (Endocrinology, Nephrology and Rheumatology), University of Leipzig, 04103, Leipzig, Germany.ORCID 0000-0003-0208-2065
Maria FedorovaCenter of Membrane Biochemistry and Lipid Research, Faculty of Medicine Carl Gustav Carus of TU Dresden, 01307, Dresden, Germany. maria.fedorova@tu-dresden.de.ORCID 0000-0002-4692-3885
University Hospital Carl Gustav Carus · DELeipzig University · DEUniversity of Perugia · ITHelmholtz Zentrum München · DEMolecular Discovery (United Kingdom) · GBThermo Fisher Scientific (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipids are a structurally diverse class of biomolecules which can undergo a variety of chemical modifications. Among them, lipid (per)oxidation attracts most of the attention due to its significance in the regulation of inflammation, cell proliferation and death programs. Despite their apparent regulatory significance, the molecular repertoire of oxidized lipids remains largely elusive as accurate annotation of lipid modifications is complicated by their low abundance and often unknown, biological context-dependent structural diversity. Here, we provide a workflow based on the combination of bioinformatics and LC-MS/MS technologies to support identification and relative quantification of oxidized complex lipids in a modification type- and position-specific manner. The developed methodology is used to identify epilipidomics signatures of lean and obese individuals with and without type 2 diabetes. The characteristic signature of lipid modifications in lean individuals, dominated by the presence of modified octadecanoid acyl chains in phospho- and neutral lipids, is drastically shifted towards lipid peroxidation-driven accumulation of oxidized eicosanoids, suggesting significant alteration of endocrine signalling by oxidized lipids in metabolic disorders.

Indexed as

Diabetes Mellitus, Type 2Tandem Mass SpectrometryChromatography, LiquidHumansLipidsPlasmaWorkflowLipids

Identifiers

PMID36319635
PMCPMC9626469
OpenAlexW4308029387

What OpenQuestion 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 OpenQuestion graph.