Evidence map›Paper›PMID 39641002›Full record

ArticleBiomaterials research2024

Cerebrovascular-Specific Extracellular Matrix Bioink Promotes Blood-Brain Barrier Properties.

Hohyeon Han, Sooyeon Lee, Ge Gao, Hee-Gyeong Yi, Sun Ha Paek, Jinah Jang

Abstract read
In one paragraph

Article in Biomaterials research, 2024. 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

6 authors.

Hohyeon HanDivision of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), Pohang 37666, Republic of Korea.ORCID https://orcid.org/0009-0008-6576-2555
Sooyeon LeeDepartment of Convergence IT Engineering, POSTECH, Pohang 37666, Republic of Korea.
Ge GaoSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Hee-Gyeong YiDepartment of Convergence Biosystems Engineering, College of Agriculture and Life Sciences, Chonnam National University, Gwangju 61186, Republic of Korea.
Sun Ha PaekDepartment of Neurosurgery, Cancer Research Institute, Hypoxia Ischemia Disease Institute, Seoul National University, Seoul 03080, Republic of Korea.
Jinah JangDivision of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology (POSTECH), Pohang 37666, Republic of Korea.ORCID https://orcid.org/0000-0001-9046-3495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic neuroinflammation is a principal cause of neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease. The blood-brain barrier predominantly comprises endothelial cells, and their intercellular communication with pericytes and other cell types regulates neuroinflammation. Here, we develop a tubular, perfusable model of human cerebrovascular tissues to study neurodegenerative diseases using cerebrovascular-specific extracellular matrix bioink, derived from a complementary blend of brain- and blood-vessel-derived extracellular matrices. The endothelial cells and pericytes in the bioprinted constructs spontaneously self-assemble into a dual-layered structure, closely mimicking the anatomy of the blood-brain barrier. Moreover, the mature cerebrovascular tissue shows physiological barrier functions and neuroinflammatory responses, indicating its potential for developing models of neuroinflammation-related pathologies. Collectively, our study demonstrates that furnishing a cerebrovascular-specific microenvironment can guide the cells to have native-like anatomical relevance and functional recapitulation in vitro.

Identifiers

PMID39641002
PMCPMC11617618

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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 OpenQuestion graph.