Evidence map›Paper›PMID 42529882›Full record

ReviewJournal of Zhejiang University. Science. B2026

Blood‒brain barrier permeability assessment: from biomimetic models to multimodal imaging.

Miaomiao Wang, Lu Gan, Yiru Fan, Chenxi Duan, Ying Zhu, Shihua Luo, Yanhong Sun

Abstract readReview
In one paragraph

Review in Journal of Zhejiang University. Science. B, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Miaomiao WangInstitute of Materiobiology, College of Sciences, Shanghai University, Shanghai 200444, China.
Lu GanInstitute of Materiobiology, College of Sciences, Shanghai University, Shanghai 200444, China.
Yiru FanInstitute of Materiobiology, College of Sciences, Shanghai University, Shanghai 200444, China.
Chenxi DuanShanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China.
Ying ZhuInstitute of Materiobiology, College of Sciences, Shanghai University, Shanghai 200444, China.
Shihua LuoDepartment of Traumatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China. jqab@163.com.
Yanhong SunInstitute of Materiobiology, College of Sciences, Shanghai University, Shanghai 200444, China. sunyanhong@shu.edu.cn.

Funding

the National Key Research and Development Program of China 2023YFF0724100the National Natural Science Foundation of China 22393934 and 22274097
6 · The paper itself

Abstract

The blood‒brain barrier (BBB) is a vital physiological structure that maintains the microenvironmental homeostasis in the central nervous system (CNS). Imbalances in its permeability play a key role in various neurological disorders, including stroke, neurodegenerative diseases, and brain tumors. The development of precise techniques for assessing BBB permeability is therefore paramount for elucidating the mechanisms of neurological diseases, overcoming drug development challenges, and achieving precise diagnosis and treatment of CNS disorders. This review systematically summarizes the latest advances in the assessment of BBB permeability. Regarding in vitro models, platforms have evolved from the traditional transwell system to microfluidic chips incorporating fluid shear forces and subsequently to highly biomimetic brain organoids, with continuous improvements in the ability to simulate the neurovascular unit (NVU) microenvironment. For in vivo assessment, we detail the principles and applications of imaging techniques, including dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), positron emission tomography (PET), near-infrared II (NIR-II) fluorescence imaging (FI), and two-photon microscopy (TPM), highlighting their complementary strengths in macroscopic quantification, molecular targeting, and microscopic dynamic observation. The integration of multi-modal technologies and precise quantitative assessment is a prominent trend. Future investigations will focus on artificial intelligence (AI)-driven personalized permeability assessment, the development of novel intelligent probes, and the dynamic real-time monitoring of the BBB, thereby providing powerful methodological support for neurological disease research.

Indexed as

BiomimeticsBlood-Brain BarrierMultimodal ImagingAnimalsDynamic Contrast Enhanced Magnetic Resonance ImagingHumansPermeabilityPositron-Emission TomographyBlood‒brain barrier (BBB)Central nervous system (CNS)In vitro BBB modelIn vivo imagingPermeability assessment

Identifiers

PMID42529882
PMCPMC13420525

What Socratic 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 Socratic graph.