Evidence map›Paper›PMID 40975889›Full record

ArticleMicrocirculation (New York, N.Y. : 1994)2025

Volumetric Analysis of the Blood-Brain Barrier After Ischemic Stroke by Electron Tomography in Mice.

Pavel Kotchetkov, Baptiste Lacoste

Abstract read
In one paragraph

Article in Microcirculation (New York, N.Y. : 1994), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Pavel KotchetkovRegenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Baptiste LacosteRegenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0002-1922-8801

Funding

CIHR 388805CIHR 506513University of Ottawa
6 · The paper itself

Abstract

objectiveTransmission electron microscopy (TEM) enables ultrastructural investigation of both organic and nonorganic samples. However, conventional TEM is limited by the acquisition of two-dimensional snapshots, restricting our volumetric understanding of complex ultrastructures. Electron tomography (ET) overcomes this limitation by offering detailed three-dimensional (3D) specimen representation. ET has been widely applied in biology; however, its use for blood-brain barrier (BBB) assessment has been overlooked. The BBB ensures proper brain function by limiting the entrance of blood-borne molecules into the brain and ensuring selective transport. The BBB is disrupted in several pathological conditions, resulting in neuronal damage. Understanding the fine changes underlying BBB disruption requires advanced imaging tools such as ET.

methodsWe developed a detailed room temperature electron tomography (RT-ET) method for sample preparation, tomogram generation, 3D segmentation, and applied this approach to assess ultrastructural changes in brain endothelial cells (ECs) after photothrombotic stroke in mice.

resultsOur findings identify altered transcytotic vesicle morphology, as well as remodeling of the endoplasmic reticulum, indicative of cellular stress and impaired vesicular trafficking.

conclusionsOur toolkit allows for reproducible, high-resolution analysis of brain microvascular pathology. This new RT-ET approach uncovers previously inaccessible ultrastructural alterations in ECs following ischemic stroke in mice, offering new insight into mechanisms of BBB disruption.

Indexed as

Blood-Brain BarrierElectron Microscope TomographyIschemic StrokeAnimalsEndothelial CellsMaleMiceMice, Inbred C57BLblood–brain barrierbrainelectron microscopyelectron tomographyendotheliummousestroke

Identifiers

PMID40975889
PMCPMC12450457

What Socratic holds

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Registered trials

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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 Socratic graph.