Evidence map›Paper›PMID 42096040›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2026

Lipidomic profile of meningiomas harboring different NF2 mutation status.

Joanna Bogusiewicz, Ivana Stanimirova, Magdalena Gaca-Tabaszewska, Paulina Szeliska, Krystyna Soszyńska, Anna Majdańska, Agata Ryfa, Alicja Bartoszewska-Kubiak, Jacek Furtak, Marcin Birski and 2 more

Abstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 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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0cells of the map it votes in
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

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

12 authors.

Joanna BogusiewiczDepartment of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Jurasza 2, 85-089, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0003-4429-6854
Ivana StanimirovaInstitute of Chemistry, University of Silesia in Katowice, Szkolna 9, 40-006, Katowice, Poland.ORCID http://orcid.org/0000-0003-4966-3246
Magdalena Gaca-TabaszewskaDepartment of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Jurasza 2, 85-089, Bydgoszcz, Poland.
Paulina SzeliskaDepartment of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Jurasza 2, 85-089, Bydgoszcz, Poland.
Krystyna SoszyńskaClinical Genetics and Molecular Pathology Laboratory, Department of Medical Analytics, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681, Bydgoszcz, Poland.
Anna MajdańskaClinical Genetics and Molecular Pathology Laboratory, Department of Medical Analytics, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681, Bydgoszcz, Poland.
Agata RyfaClinical Genetics and Molecular Pathology Laboratory, Department of Medical Analytics, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681, Bydgoszcz, Poland.
Alicja Bartoszewska-KubiakClinical Genetics and Molecular Pathology Laboratory, Department of Medical Analytics, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681, Bydgoszcz, Poland.
Jacek FurtakMedical Faculty, Bydgoszcz University of Science and Technology, Al. prof. S. Kaliskiego 7, 85-796, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0001-9599-4156
Marcin BirskiDepartment of Neurosurgery, 10th Military Research Hospital and Polyclinic, Powstańców Warszawy 5, 85-681, Bydgoszcz, Poland.ORCID http://orcid.org/0000-0001-6011-7559
Marek HaratMedical Faculty, Bydgoszcz University of Science and Technology, Al. prof. S. Kaliskiego 7, 85-796, Bydgoszcz, Poland. harat@10wsk.mil.pl.ORCID http://orcid.org/0000-0002-4043-2567
Barbara BojkoDepartment of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Jurasza 2, 85-089, Bydgoszcz, Poland. bbojko@cm.umk.pl.ORCID http://orcid.org/0000-0003-3971-9816

Funding

Narodowe Centrum Nauki 2015/18/M/ST4/00059Narodowe Centrum Nauki 2019/33/N/ST4/00286
6 · The paper itself

Abstract

introductionMeningiomas are mainly benign brain tumors, but they can evolve to higher grades. The phenomena of these changes are not well-known. Therefore, more basic research is needed. This study attempted to assess the lipidome profile in meningiomas harboring different NF2 mutation statuses (wildtype and mutated). Solid-phase microextraction (SPME) probes were used to sample and extract the metabolites and reduce the invasiveness of lipidomic analysis.

objectivesThis study aimed to select the set of lipids distinguishing meningiomas with different genotypes using two chromatography methods (hydrophilic interaction chromatography (HILIC) and reversed-phase chromatography (RPLC) in two ionization modes.

methodsBrain tumors were obtained during neurosurgical procedures. Then, sampling using SPME fibers was performed directly after the lesion excision. After collecting the whole batch of samples, desorption using an isopropanol-methanol solution was performed. Subsequently, instrumental analysis was carried out using liquid chromatography coupled with high-resolution mass spectrometry. The remaining part of the lesion was stored as paraffin tissue blocks, and then genetic testing was performed to determine the presence of mutations in the NF2 gene.

resultsGenetic profiling of meningiomas revealed that most lesions had a mutation in the NF2 gene. A wide range of analytes was extracted from the studied tumors using SPME probes. A set of 34 lipids was selected as crucial metabolites in tumor differentiation. A combination of analytes detected in more than one analysis mode demonstrated higher sensitivity and specificity compared to the individual models and increased the differentiation of mutant and wildtype samples.

conclusionsSPME coupled liquid chromatography and mass spectrometry, can be successfully applied to the screening of lipids in meningiomas with different NF mutation statuses.

Indexed as

LipidomicsLipidsMeningeal NeoplasmsMeningiomaNeurofibromin 2Chromatography, Reverse-PhaseHumansLiquid Chromatography-Mass SpectrometryMutationSolid Phase MicroextractionLipidsNeurofibromin 2NF2 protein, humanBrain tumorLipidomicsMeningiomaMerlinNF2SPME

Identifiers

PMID42096040
PMCPMC13153021

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