Evidence map›Paper›PMID 38079536›Full record

ArticleAnalytical chemistry2023

Toward Omics-Scale Quantitative Mass Spectrometry Imaging of Lipids in Brain Tissue Using a Multiclass Internal Standard Mixture.

Michiel Vandenbosch, Shadrack M Mutuku, Maria José Q Mantas, Nathan H Patterson, Tucker Hallmark, Marc Claesen, Ron M A Heeren, Nathan G Hatcher, Nico Verbeeck, Kim Ekroos and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.8field-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

20 citing papers in PubMed, 38 citations in OpenAlex.

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  19. Quantitative mass spectrometry imaging: therapeutics & biomolecules.Chemical communications (Cambridge, England) · 2024
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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

11 authors at 4 institutions in 3 countries.

Michiel VandenboschMaastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Maastricht 6229ER, Netherlands.
Shadrack M MutukuMolecular Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Wollongong, NSW 2522, Australia.
Maria José Q MantasAspect Analytics NV, Genk 3600, Belgium.
Nathan H PattersonAspect Analytics NV, Genk 3600, Belgium.
Tucker HallmarkAvanti Polar Lipids, Alabama, Alabama 35007, United States.
Marc ClaesenAspect Analytics NV, Genk 3600, Belgium.
Ron M A HeerenMaastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Maastricht 6229ER, Netherlands.ORCID 0000-0002-6533-7179
Nathan G HatcherMerck & Co., Inc., 770 Sumneytown Pk, West Point, Pennsylvania 19486, United States.
Nico VerbeeckAspect Analytics NV, Genk 3600, Belgium.
Kim EkroosLipidomics Consulting Ltd., Esbo 02230, Finland.
Shane R EllisMolecular Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Wollongong, NSW 2522, Australia.ORCID 0000-0002-3326-5991
Maastricht University · NLUniversity of Wollongong · AUAvanti Polar Lipids (United States) · USUnited States Military Academy · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry imaging (MSI) has accelerated our understanding of lipid metabolism and spatial distribution in tissues and cells. However, few MSI studies have approached lipid imaging quantitatively and those that have focused on a single lipid class. We overcome this limitation by using a multiclass internal standard (IS) mixture sprayed homogeneously over the tissue surface with concentrations that reflect those of endogenous lipids. This enabled quantitative MSI (Q-MSI) of 13 lipid classes and subclasses representing almost 200 sum-composition lipid species using both MALDI (negative ion mode) and MALDI-2 (positive ion mode) and pixel-wise normalization of each lipid species in a manner analogous to that widely used in shotgun lipidomics. The Q-MSI approach covered 3 orders of magnitude in dynamic range (lipid concentrations reported in pmol/mm

Indexed as

Diagnostic ImagingLipidomicsBrainLipidsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationLipids

Identifiers

PMID38079536
PMCPMC11372745
OpenAlexW4389542123

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.