Evidence map›Paper›PMID 41469447›Full record

ArticleScientific reports2025

A perfusable decellularized plant-based air-liquid-interface-on-a-chip for investigating inorganic dust aerosol exposure.

Omur Sert, Tolga Erdogan, Yagmur Arslan, Ozlem Yesil-Celiktas

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Omur SertDepartment of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.
Tolga ErdoganDepartment of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.
Yagmur ArslanDepartment of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey.
Ozlem Yesil-CeliktasDepartment of Bioengineering, Faculty of Engineering, Ege University, Izmir, Turkey. ozlem.yesil.celiktas@ege.edu.tr.

Funding

The Health Institutes of Turkey 36040
6 · The paper itself

Abstract

Dust exposure affects an estimated 330 million people worldwide and can penetrate deep into the respiratory tract, disrupting epithelial and endothelial barriers. However, current in vitro models do not recapitulate the perfusable airway-vascular interface required to investigate dust-induced barrier alterations. Bioinspired scaffolds from decellularized plants hold strong potential as new approach methodologies (NAMs), considering the need for physiologically relevant in vitro models with vascular networks. Herein, we developed a decellularized plant-based air-liquid interface (ALI)-on-a-chip to study inorganic dust aerosol exposure in human airway epithelial barrier. The decellularization method achieved ≥ 99% DNA removal and a hydrophilic interface, while preserving vascular network and cellulose-rich extracellular matrix. Subsequently, human umbilical vein endothelial cells and bronchial epithelial cells were seeded to the decellularized scaffold, positioned on a PDMS-based platform to reconstruct a perfusable ALI-on-a-chip. Nanoscale dust particles were administered to the epithelium. The dust particles resulted in a significant decrease in barrier integrity, where the TEER value of the epithelial barrier decreased from ~ 126.42 to ~ 56.11Ω*cm

Indexed as

DustLab-On-A-Chip DevicesPlantsAerosolsEpithelial CellsHumansHuman Umbilical Vein Endothelial CellsTissue ScaffoldsAerosolsDustAir–liquid interfaceDecellularized plant scaffoldDesert dust aerosolsNanoparticle exposureOrgan-on-a-chip

Identifiers

PMID41469447
PMCPMC12852814

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.