Evidence map›Paper›PMID 35653381›Full record

ArticlePLoS computational biology2022

Pulmonary drug delivery and retention: A computational study to identify plausible parameters based on a coupled airway-mucus flow model.

Aranyak Chakravarty, Mahesh V Panchagnula, Alladi Mohan, Neelesh A Patankar

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  9. Insulin Therapy for the Management of Diabetes Mellitus: A Narrative Review of Innovative Treatment Strategies.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Review
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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

4 authors at 4 institutions in 2 countries.

Aranyak ChakravartySchool of Nuclear Studies and Application, Jadavpur University, Kolkata, India.ORCID 0000-0002-4864-7036
Mahesh V PanchagnulaDepartment of Applied Mechanics, Indian Institute of Technology Madras, Chennai, India.ORCID 0000-0003-2943-6900
Alladi MohanDepartment of Medicine, Sri Venkateswara Institute of Medical Sciences, Tirupati, India.ORCID 0000-0002-3214-9884
Neelesh A PatankarDepartment of Mechanical Engineering, Northwestern University, Evanston, Illinois, United States of America.ORCID 0000-0002-0665-3454
Indian Institute of Technology Madras · INJadavpur University · INNorthwestern University · USSri Venkateswara Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary drug delivery systems rely on inhalation of drug-laden aerosols produced from aerosol generators such as inhalers, nebulizers etc. On deposition, the drug molecules diffuse in the mucus layer and are also subjected to mucociliary advection which transports the drugs away from the initial deposition site. The availability of the drug at a particular region of the lung is, thus, determined by a balance between these two phenomena. A mathematical analysis of drug deposition and retention in the lungs is developed through a coupled mathematical model of aerosol transport in air as well as drug molecule transport in the mucus layer. The mathematical model is solved computationally to identify suitable conditions for the transport of drug-laden aerosols to the deep lungs. This study identifies the conditions conducive for delivering drugs to the deep lungs which is crucial for achieving systemic drug delivery. The effect of different parameters on drug retention is also characterized for various regions of the lungs, which is important in determining the availability of the inhaled drugs at a target location. Our analysis confirms that drug delivery efficacy remains highest for aerosols in the size range of 1-5 μm. Moreover, it is observed that amount of drugs deposited in the deep lung increases by a factor of 2 when the breathing time period is doubled, with respect to normal breathing, suggesting breath control as a means to increase the efficacy of drug delivery to the deep lung. A higher efficacy also reduces the drug load required to be inhaled to produce the same health effects and hence, can help in minimizing the side effects of a drug.

Indexed as

Drug Delivery SystemsLungAerosolsMucusParticle SizeAerosols

Identifiers

PMID35653381
PMCPMC9197018
OpenAlexW4281648448

What OpenQuestion holds

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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.