Evidence map›Paper›PMID 42597928›Full record

ArticleACS omega2026

Fabrication and Optimization of a Polycaprolactone-Based Ductular Blood-Brain Barrier Model Using an Electrospinning Technique.

Malak El Tfayli, George Deeb, Kawthar Abla, Marwan El-Sabban, Rami Mhanna

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Malak El TfayliBiomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut 1107-2020, Lebanon.
George DeebBiomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut 1107-2020, Lebanon.
Kawthar AblaNanotechnology Research Lab, Faculty of Pharmacy, Beirut Arab University, Beirut 1107-2809, Lebanon.
Marwan El-SabbanDepartment of Anatomy, Cell Biology and Physiological Sciences, Faculty of Medicine, American University of Beirut, Beirut 1107-2020, Lebanon.
Rami MhannaBiomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut 1107-2020, Lebanon.ORCID https://orcid.org/0000-0003-0345-625X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central nervous system (CNS) disorders are the primary cause of the global health burden. Nevertheless, novel therapies approved for these disorders are among the fewest compared with their counterparts. The absence of effective, reliable in vitro blood-brain barrier (BBB) models that mimic in vivo barrier properties hinders the discovery of therapies for CNS diseases. This work introduces a three-dimensional (3D) system that uses a polycaprolactone (PCL) ductular scaffold to most closely mimic the structure of blood-brain capillaries. The duct was prepared via electrospinning, optimized, and characterized for fiber structure and mechanical strength. Furthermore, the designed duct was seeded with endothelial cells (ECV-304) to assess their ability to proliferate and grow within the ductal fiber. Finally, barrier integrity was evaluated by an immunofluorescence assay and transepithelial/transendothelial electrical resistance (TEER) measurements. The optimized duct displayed Beadles' fiber with a high Young's modulus value (34.7 ± 3.59 MPa), reflecting its good mechanical strength. Besides, ECVs-304 could cover 85.36 ± 14.36% of the duct surface after 14 days of seeding. The results showed that seeding the duct with a high cell density (20 × 10

Identifiers

PMID42597928
PMCPMC13470772

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.