Evidence map›Paper›PMID 38899149›Full record

ArticleRSC pharmaceutics2024

Synthetic mucus barrier arrays as a nanoparticle formulation screening platform.

Harry Zou, Allison Boboltz, Yahya Cheema, Daniel Song, Devorah Cahn, Gregg A Duncan

Abstract read
In one paragraph

Article in RSC pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Harry ZouFischell Department of Bioengineering, University of Maryland College Park MD 20742 USA gaduncan@umd.edu.
Allison BoboltzFischell Department of Bioengineering, University of Maryland College Park MD 20742 USA gaduncan@umd.edu.ORCID https://orcid.org/0000-0002-4203-5928
Yahya CheemaFischell Department of Bioengineering, University of Maryland College Park MD 20742 USA gaduncan@umd.edu.
Daniel SongFischell Department of Bioengineering, University of Maryland College Park MD 20742 USA gaduncan@umd.edu.
Devorah CahnFischell Department of Bioengineering, University of Maryland College Park MD 20742 USA gaduncan@umd.edu.
Gregg A DuncanFischell Department of Bioengineering, University of Maryland College Park MD 20742 USA gaduncan@umd.edu.ORCID https://orcid.org/0000-0002-6811-1327

Funding

Understanding alterations to mucus composition and function in asthmaR01HL160540 · NHLBI · UNIV OF MARYLAND, COLLEGE PARK · PI Gregg Duncan · 2022 to 2026
$2.1M
NHLBI NIH HHS R01 HL160540
6 · The paper itself

Abstract

A mucus gel layer lines the luminal surface of tissues throughout the body to protect them from infectious agents and particulates. As a result, nanoparticle drug delivery systems delivered to these sites may become trapped in mucus and subsequently cleared before they can reach target cells. As such, optimizing the properties of nanoparticle delivery vehicles, such as their surface chemistry and size, is essential to improving their penetration through the mucus barrier. In previous work, we developed a mucin-based hydrogel that has viscoelastic properties like that of native mucus which can be further tailored to mimic specific mucosal tissues and disease states. Using this biomimetic hydrogel system, a 3D-printed array containing synthetic mucus barriers was created that is compatible with a 96-well plate enabling its use as a high-throughput screening platform for nanoparticle drug delivery applications. To validate this system, we evaluated several established design parameters to determine their impact on nanoparticle penetration through synthetic mucus barriers. Consistent with the literature, we found nanoparticles of smaller size and coated with a protective PEG layer more efficiently penetrated through synthetic mucus barriers. In addition, we evaluated a mucolytic (tris(2-carboxyethyl) phosphine, TCEP) for use as a permeation enhancer for mucosal drug delivery. In comparison to

Identifiers

PMID38899149
PMCPMC11185047

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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.