Evidence map›Paper›PMID 28912466›Full record

ArticleScientific reports2017

Using a Novel Microfabricated Model of the Alveolar-Capillary Barrier to Investigate the Effect of Matrix Structure on Atelectrauma.

N Higuita-Castro, M T Nelson, V Shukla, P A Agudelo-Garcia, W Zhang, S M Duarte-Sanmiguel, J A Englert, J J Lannutti, D J Hansford, S N Ghadiali

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

28 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Review
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  5. Mechanical ventilation energy analysis: Recruitment focuses injurious power in the ventilated lung.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Lung-on-a-Chip Models of the Lung Parenchyma.Advances in experimental medicine and biology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. A BioinspiredFrontiers in bioengineering and biotechnology · 2021
    Article
  20. Review
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

10 authors at 3 institutions in 1 country.

N Higuita-CastroBiomedical Engineering Department, The Ohio State University, Columbus, Ohio, United States.
M T NelsonBiomedical Engineering Department, The Ohio State University, Columbus, Ohio, United States.
V ShuklaBiomedical Engineering Department, The Ohio State University, Columbus, Ohio, United States.
P A Agudelo-GarciaDepartment of Molecular and Cellular Biochemistry, The Ohio State University, Columbus, Ohio, United States.
W ZhangDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States.
S M Duarte-SanmiguelBiomedical Engineering Department, The Ohio State University, Columbus, Ohio, United States.
J A EnglertDepartment of Internal Medicine, Division of Pulmonary, Critical Care and Sleep Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States.
J J LannuttiDepartment of Material Sciences and Engineering, The Ohio State University, Columbus, Ohio, United States.
D J HansfordBiomedical Engineering Department, The Ohio State University, Columbus, Ohio, United States.
S N GhadialiBiomedical Engineering Department, The Ohio State University, Columbus, Ohio, United States. ghadiali.1@osu.edu.ORCID 0000-0002-6845-774X
The Ohio State University Wexner Medical Center · USThe Ohio State University · USMaterial Sciences (United States) · US

Funding

Testing/ImagingP50DC007667 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOYLE, WILLIAM J · 2006 to 2017
$12.6M
NIDCD NIH HHS P50 DC007667
6 · The paper itself

Abstract

The alveolar-capillary barrier is composed of epithelial and endothelial cells interacting across a fibrous extracelluar matrix (ECM). Although remodeling of the ECM occurs during several lung disorders, it is not known how fiber structure and mechanics influences cell injury during cyclic airway reopening as occurs during mechanical ventilation (atelectrauma). We have developed a novel in vitro platform that mimics the micro/nano-scale architecture of the alveolar microenvironment and have used this system to investigate how ECM microstructural properties influence epithelial cell injury during airway reopening. In addition to epithelial-endothelial interactions, our platform accounts for the fibrous topography of the basal membrane and allows for easy modulation of fiber size/diameter, density and stiffness. Results indicate that fiber stiffness and topography significantly influence epithelial/endothelial barrier function where increased fiber stiffness/density resulted in altered cytoskeletal structure, increased tight junction (TJ) formation and reduced barrier permeability. However, cells on rigid/dense fibers were also more susceptible to injury during airway reopening. These results indicate that changes in the mechanics and architecture of the lung microenvironment can significantly alter cell function and injury and demonstrate the importance of implementing in vitro models that more closely resemble the natural conditions of the lung microenvironment.

Indexed as

In Vitro TechniquesMicrotechnologyActinsAlveolar Epithelial CellsBiomimetic MaterialsBlood-Air BarrierCells, CulturedCytoskeletonEndothelial CellsExtracellular MatrixHumansPulmonary AtelectasisTight JunctionsActins

Identifiers

PMID28912466
PMCPMC5599538
OpenAlexW2755329137

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.