Evidence map›Paper›PMID 40281046›Full record

ArticleScientific reports2025

A stretchable and biomimetic polyurethane membrane for lung alveolar in vitro modelling.

Emmanouela Mitta, Andrew Gilmore, Angeliki Malliri, Sarah Harriet Cartmell

Erratum issuedAbstract 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. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Emmanouela MittaDepartment of Materials, School of Engineering, The University of Manchester, Core 4, Fifth Floor, Nancy Rothwell Building, Booth Street East, Manchester, M13 9PL, UK.
Andrew GilmoreDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, UK.
Angeliki MalliriDivision of Cancer Sciences, The University of Manchester, Manchester, M13 9PL, UK.
Sarah Harriet CartmellDepartment of Materials, School of Engineering, The University of Manchester, Core 4, Fifth Floor, Nancy Rothwell Building, Booth Street East, Manchester, M13 9PL, UK. sarah.cartmell@manchester.ac.uk.

Funding

Cancer Research UK C19941/A27859
6 · The paper itself

Abstract

The lung alveolus constitutes a morphologically and mechanistically complex tissue that is constantly subjected to cyclic tension and exhibits unique elastic properties. Available materials used to mimic alveolar tissue often lack biomimicry and the mechanical properties required for cyclic tension. Here, we report a fully synthetic fibrous polyurethane scaffold that approximates tissue stiffness, is elastic under breathing simulations and supports long-term culture of alveolar epithelial-like cells. Using electrospinning a fibrous membrane of tuneable thickness, set fibre diameter and small pore size is prepared. When subjected to cyclic uniaxial tension the material retains its elasticity at both low and high frequency mimicking human and mouse breathing. Thanks to the small pore size, lung alveolar cells can be cultured on its apical surface forming an epithelial monolayer. This monolayer can be maintained long term (at least 15 days) and in an air-liquid interface. In the latter conditions, cells differentiate and exhibit expression of surfactant protein A, a constituent of the surfactant layer that plays a key role in lung physiology. Owing to its lung-mimicking characteristics, the electrospun membrane holds the potential to be adapted for breathing lung models.

Indexed as

Biomimetic MaterialsBiomimeticsMembranes, ArtificialPolyurethanesPulmonary AlveoliAlveolar Epithelial CellsAnimalsHumansMiceModels, BiologicalTissue EngineeringTissue ScaffoldsMembranes, ArtificialPolyurethanes

Identifiers

PMID40281046
PMCPMC12032040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.