Evidence map›Paper›PMID 39935212›Full record

ReviewThe European journal of neuroscience2025

Endothelial Cells and the Blood-Brain Barrier: Critical Determinants of Ineffective Reperfusion in Stroke.

Xiang Li, Leticia Simo, Qianhui Zhao, Enoch Gene Kim, Yuchuan Ding, Xiaokun Geng

Abstract readReview
In one paragraph

Review in The European journal of neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Xiang LiLuhe Institute of Neuroscience, Capital Medical University, Beijing, China.
Leticia SimoDepartment of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA.
Qianhui ZhaoLuhe Institute of Neuroscience, Capital Medical University, Beijing, China.ORCID 0009-0000-2489-1088
Enoch Gene KimDepartment of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA.
Yuchuan DingDepartment of Neurosurgery, Wayne State University School of Medicine, Detroit, Michigan, USA.
Xiaokun GengLuhe Institute of Neuroscience, Capital Medical University, Beijing, China.

Funding

Beijing Tong Zhou District Financial FundNational Natural Science Foundation of China 82271332Yunhe Talent Program of Beijing Tongzhou District
6 · The paper itself

Abstract

Ineffective reperfusion remains a critical challenge in neurointerventional treatment following ischemic stroke, with the integrity of the blood-brain barrier (BBB) being a key determinant of patient outcomes. This review explores the distinctive characteristics and roles of brain endothelial cells (ECs) in the context of stroke and ineffective reperfusion. We examine the unique properties of brain ECs compared to their counterparts in other tissues, focusing on their pathophysiological changes, functional impairments and the inflammatory cascades that follow stroke. Differences in gene expression between brain ECs and those in other organs offer deeper insights into their role in neuroprotective therapies. Additionally, drawing parallels between brain ECs and ECs from organs with similar ischemia-reperfusion injury profiles may inspire novel therapeutic approaches. This review highlights the critical importance of understanding the nuanced roles of ECs in BBB regulation, which ultimately impacts reperfusion outcomes.

Indexed as

Blood-Brain BarrierEndothelial CellsReperfusion InjuryStrokeAnimalsHumansblood–brain barrier (BBB)endothelial cells (ECs)inflammationneurovascular unit (NVU)pathological mechanismpathophysiologystroketight junctions (TJs)

Identifiers

PMID39935212
PMCPMC11814926

What OpenQuestion holds

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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.