Evidence map›Paper›PMID 40880037›Full record

ArticleNeuroscience bulletin2026

Spatially Resolved Lipid Composition of the Human Brain Cortical Layers.

Dmitry Senko, Marina Zavolskova, Olga Efimova, Maria Osetrova, Elena Stekolshchikova, Gleb Vladimirov, Evgeny Nikolaev, Philipp Khaitovich

Abstract read
In one paragraph

Article in Neuroscience bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

8 authors.

Dmitry Senko *Skolkovo Institute of Science and Technology, Moscow, 121205, Russia. dmitry.senko@skoltech.ru.ORCID http://orcid.org/0000-0001-8752-9932
Marina Zavolskova *Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Olga EfimovaSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Maria OsetrovaSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Elena StekolshchikovaSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Gleb VladimirovSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Evgeny NikolaevSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Philipp KhaitovichSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A better understanding of neocortical architecture provides a means for its functional elucidation. In this study, we focused on the analysis of the lipidome composition in two human neocortical regions using laser-capture microdissection combined with mass spectrometry and mass spectrometry imaging. Among the 312 lipids detected in tissue samples representing discrete neocortical layers (L1, L3, and L5), three-quarters showed significant differences in abundance among layers, forming distinct patterns. Lipid distribution among these patterns depended on both the lipids' biochemical class and their fatty acid residue length and unsaturation. The assignment of lipids to cell types using spatial transcriptomics data suggested biological underpinnings of these patterns. Collected mass spectrometry imaging data further allowed for the reconstruction of lipid spatial distribution patterns across neocortical layers. These results reveal a complex relationship between lipids' biochemical properties and neocortical histological features, laying a foundation for further studies on the lipidome architecture of the human brain.

Indexed as

Cerebral CortexLipid MetabolismLipidsNeocortexAdultFemaleHumansLaser Capture MicrodissectionLipidomicsMaleMass SpectrometryMiddle AgedLipidsCortex layersHuman brainLipidomeMatrix-assisted laser desorption/ionization mass spectrometry imagingUltra-performance liquid chromatography-mass spectrometry

Identifiers

PMID40880037
PMCPMC12950116

What OpenQuestion holds

Textmetadata
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.