Evidence map›Paper›PMID 39435151›Full record

ArticleiScience2024

Targeting nanoparticles to lung cancer-derived A549 cells based on changes on interstitial stiffness in biomimetic models.

Afia Ibnat Kohon, Kun Man, Ala Hessami, Katelyn Mathis, Jade Webb, Joanna Fang, Parsa Radfar, Yong Yang, Brian Meckes

Abstract read
In one paragraph

Article in iScience, 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

5 · Who and what money

Authors and funding

9 authors.

Afia Ibnat KohonDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.
Kun ManDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.
Ala HessamiDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.
Katelyn MathisDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.
Jade WebbDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.
Joanna FangDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.
Parsa RadfarDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.
Yong YangDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.
Brian MeckesDepartment of Biomedical Engineering, University of North Texas, 3940 N Elm St., Denton, TX 76207, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanical properties and forces of the extracellular environment modulate alveolar epithelial cell behavior. To model cancer/fibrosis associated stiffening and dynamic stretch, a biomimetic device was developed that imitates the active forces in the alveolus, while allowing control over the interstitial matrix stiffness. Alveolar epithelial A549 cancer cells were cultured on the devices and their transcriptome was profiled with RNA sequencing. Pathway analysis showed soft materials upregulated the expression of proteoglycans associated with cancer. Consequently, liposomes were modified with peptides targeting heparan sulfate and chondroitin sulfates of the cell surface glycocalyx. Chondroitin sulfate A targeting improved uptake in cells seeded on stiff biomimetic devices, which is attributed to increased chondroitin sulfate proteoglycan localization on cell surfaces in comparison to cells grown on soft devices. These results demonstrate the critical role that mechanical stiffness and stretch play in the alveolus and the importance of including these properties in nanotherapeutic design.

Indexed as

Applied sciencesBiological sciencesHealth sciences

Identifiers

PMID39435151
PMCPMC11492096

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Registered trials

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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.