Evidence map›Paper›PMID 41527248›Full record

ArticleAnalytical chemistry2026

Characterization of the Lipidome of Neurons in Mouse Brain Nuclei Using Imaging Mass Spectrometry.

Cristina Huergo, Laura de Las Heras-García, Jone Razquin, Yuri Rueda, Cristina Miguélez, José A Fernández

Abstract read
In one paragraph

Article in Analytical chemistry, 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.

Cristina HuergoDepartment of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena S/N, Leioa 48940, Spain.
Laura de Las Heras-GarcíaDepartment of Pharmacology, Faculty of Medicine, University of the Basque Country (UPV/EHU), Barrio Sarriena S/N, Leioa 48940, Spain.
Jone RazquinDepartment of Pharmacology, Faculty of Medicine, University of the Basque Country (UPV/EHU), Barrio Sarriena S/N, Leioa 48940, Spain.
Yuri RuedaDepartment of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena S/N, Leioa 48940, Spain.
Cristina MiguélezDepartment of Pharmacology, Faculty of Medicine, University of the Basque Country (UPV/EHU), Barrio Sarriena S/N, Leioa 48940, Spain.
José A FernándezDepartment of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena S/N, Leioa 48940, Spain.ORCID 0000-0002-7315-2326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the molecular composition of the brain at cellular level is essential for deciphering the metabolic alterations associated with brain diseases. Furthermore, the different prevalence of some neurological diseases between males and females highlight the importance of incorporating gender factor in such studies. Here, we demonstrate that using imaging mass spectrometry in negative polarity it is possible to isolate and characterize the lipidome of specific neuronal populations in the mouse brain, including the locus coeruleus (LC), mesencephalic neurons and the substantia nigra pars compacta (SNc). Neuronal identity was validated through immunofluorescence on adjacent serial sections. Comparative analysis revealed that each neuronal population presents a distinct and well-defined lipidic profile, with differences extending across all lipid classes analyzed. Regarding sex-based differences, we found discrete differences in phosphatidylcholine/phosphatidylethanolamine-ether, phosphatidylinositol and sphingomyelin LC neurons. Lipidomic differences were more pronounced in mesencephalic neurons, whereas no significant sex-dependant differences were observed in SNc lipid composition. These findings lay the groundwork for future studies aimed at identifying lipid metabolic dysregulations in the context of neurodegenerative diseases.

Indexed as

BrainLipidomicsLipidsLocus CoeruleusNeuronsAnimalsFemaleMaleMass SpectrometryMiceMice, Inbred C57BLLipids

Identifiers

PMID41527248
PMCPMC12856826

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.