Evidence map›Paper›PMID 42702120›Full record

ArticleBiomaterials2026

Micro/nanoscale bubble-mediated mucolytic conditioning of the lung model of cystic fibrosis enhances nanoparticle transport through the mucus.

Mohamed Diane, Maria R Hudock, Julie Leonard-Duke, Arvind Nandakumar, Ylleana Goduco, Mohammad Mir, Aneri Patel, Jiawen Chen, Veronica Farag, Meghan R Pinezich and 7 more

Abstract read
In one paragraph

Article in Biomaterials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Mohamed DianeDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Maria R HudockDepartment of Biomedical Engineering, Columbia University, New York, NY, USA; Department of Medicine, Columbia University, New York, NY, USA.
Julie Leonard-DukeDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Arvind NandakumarDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Ylleana GoducoDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Mohammad MirDepartment of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA.
Aneri PatelDepartment of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA.
Jiawen ChenDepartment of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA.
Veronica FaragDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Meghan R PinezichDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Julie Van HasselDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Alexander YoonDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Rahul KanadeDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Panpan ChenDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Alexander RomanovInstitute of Comparative Medicine, Columbia University Medical Center, New York, NY, USA.
Jinho KimDepartment of Biomedical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA.
Gordana Vunjak-NovakovicDepartment of Biomedical Engineering, Columbia University, New York, NY, USA; Department of Medicine, Columbia University, New York, NY, USA. Electronic address: GV2131@columbia.edu.

Funding

POSTDOCTORAL TRAINING IN CARDIOVASCULAR DISEASET32HL007854 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Marwah Abdalla, Michael Argenziano · 1996 to 2026
$14.7M
Tissue Engineering Resource Center: TTDP41EB027062 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Gordana Vunjak-Novakovic · 2019 to 2026
$12.6M
NHLBI NIH HHS T32 HL007854NIBIB NIH HHS P41 EB027062
6 · The paper itself

Abstract

Cystic fibrosis (CF) is a monogenic disease with severe pulmonary manifestations. Nanoparticle carriers of drug and gene therapeutics for CF are being studied, but only few can traverse the highly concentrated, disulfide-crosslinked airway mucus in the CF lung. Here, we developed mucolytic-associated polydisperse micro/nanoscale bubble formulations (MNB) that couple reducing chemistry (tris(2-carboxyethyl)phosphine, TCEP) with an ultrasound-responsive carrier to disrupt mucus. We evaluated the penetration of a model nanocarrier through a CF-mimetic mucus hydrogel following MNB-TCEP treatment. Under the same reducing-equivalent dosing, MNB-TCEP markedly enhanced penetration of 200 nm anionic nanoparticles relative to both PBS and free TCEP. In the more restrictive thick-mucus condition, therapeutic ultrasound increased anionic nanoparticle penetration approximately 3.5-fold in the MNB-TCEP group relative to its no-ultrasound counterpart, without statistically significant effects on PBS or free TCEP controls. MNB-TCEP also retained diagnostic ultrasound visibility in gel phantoms and produced airway-associated echogenicity in ex vivo porcine lungs within fluid-accessible, non-aerated imaging windows. Moreover, MNB-TCEP with or without ultrasound did not reduce acute viability of ex vivo tracheal biopsies under the tested regimens. Introduction of an AAV1 reporter suggested that bubble-ultrasound conditioning may increase localized reporter-positive nuclei in airway epithelium. Together, these data identify mucolytic-associated MNB formulations as a theranostic strategy to enhance nanocarrier access through CF-mimetic mucus, with exploratory tissue-level data supporting further evaluation for gene-delivery applications.

Indexed as

Airway mucusCystic fibrosisGene deliveryMicro/nanoscale bubblesUltrasound

Identifiers

PMID42702120
PMCPMC13583613

What OpenQuestion holds

Textmetadata
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.