Evidence map›Paper›PMID 33486036›Full record

ArticleInternational journal of pharmaceutics2021

In vitro evaluation of drug delivery behavior for inhalable amorphous nanoparticle formulations in a human lung epithelial cell model.

Jianting Chen, Maizbha U Ahmed, Chune Zhu, Shihui Yu, Weisan Pan, Tony Velkov, Jian Li, Qi Tony Zhou

Open access · greenAbstract read
In one paragraph

Article in International journal of pharmaceutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Jianting ChenDepartment of Industrial and Physical Pharmacy, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, IN 47907, USA; Department of Pharmaceutics, School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China.
Maizbha U AhmedDepartment of Industrial and Physical Pharmacy, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, IN 47907, USA.
Chune ZhuSchool of Traditional Chinese Medicine, Guangdong Pharmaceutical University, 280 Waihuan East Road, Guangzhou 510006, China.
Shihui YuDepartment of Industrial and Physical Pharmacy, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, IN 47907, USA.
Weisan PanDepartment of Pharmaceutics, School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang 110016, China.
Tony VelkovDepartment of Pharmacology & Therapeutics, School of Biomedical Sciences, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Victoria 3010, Australia.
Jian LiBiomedicine Discovery Institute and Department of Microbiology, Monash University, Victoria 3800, Australia.
Qi Tony ZhouDepartment of Industrial and Physical Pharmacy, College of Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, IN 47907, USA. Electronic address: tonyzhou@purdue.edu.
Purdue University West Lafayette · USShenyang Pharmaceutical University · CNAustralian Regenerative Medicine Institute · AUGuangdong Pharmaceutical University · CNRMIT University · AU

Funding

Advancing innovative therapies against pandrug-resistant Gram-negative superbugsR01AI146160 · NIAID · PURDUE UNIVERSITY · PI LI, JIAN, ZHOU, QI · 2019 to 2023
$3.2M
Combating Deadly Gram-negative Lung Infections: An Inhalation and Systems ApproachR01AI132681 · NIAID · PURDUE UNIVERSITY · PI LI, JIAN, ZHOU, QI · 2017 to 2020
$2.4M
NIAID NIH HHS R01 AI132681NIAID NIH HHS R01 AI146160
6 · The paper itself

Abstract

Respiratory tract infections caused by multidrug-resistant (MDR) Gram-negative bacteria such as Pseudomonas aeruginosa are serious burdens to public health, especially in cystic fibrosis patients. The combination of colistin, a cationic polypeptide antibiotic, and ivacaftor, a cystic fibrosis transmembrane regulator (CFTR) protein modulator, displays a synergistic antibacterial effect against P. aeruginosa. The primary aim of the present study is to investigate the transport, accumulation and toxicity of a novel nanoparticle formulation containing colistin and ivacaftor in lung epithelial Calu-3 cells. The cell viability results demonstrated that ivacaftor alone or in combination with colistin in the physical mixture showed significant toxicity at an ivacaftor concentration of 10 μg/mL or higher. However, the cellular toxicity was significantly reduced in the nanoparticle formulation. Ivacaftor transport into the cells reached a plateau rapidly as compared to colistin. Colistin transport across the Calu-3 cell monolayer was less than ivacaftor. A substantial amount (46-83%) of ivacaftor, independent of dose, was accumulated in the cell monolayer following transport from the apical into the basal chamber, whereas the intracellular accumulation of colistin was relatively low (2-15%). The nanoparticle formulation significantly reduced the toxicity of colistin and ivacaftor to Calu-3 cells by reducing the accumulation of both drugs in the cell and potential protective effects by bovine serum albumin (BSA), which could be a promising safer option for the treatment of respiratory infections caused by MDR P. aeruginosa.

Indexed as

NanoparticlesPharmaceutical PreparationsCystic Fibrosis Transmembrane Conductance RegulatorEpithelial CellsHumansLungPseudomonas aeruginosaCystic Fibrosis Transmembrane Conductance RegulatorPharmaceutical PreparationsCytotoxicityDrug transportHuman lung epithelial cellLung infectionPulmonary drug delivery

Identifiers

PMID33486036
PMCPMC7904636
OpenAlexW3124893004

What OpenQuestion holds

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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.