Evidence map›Paper›PMID 40931221›Full record

ArticlePharmaceutical research2025

Drug Delivery and Binding in a Tissue with Irregularly Shaped Binding Regions.

Ankur Jain

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Article in Pharmaceutical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

1 author.

Ankur JainMechanical and Aerospace Engineering Department, University of Texas at Arlington, 500 W First St, Rm 211, Arlington, TX, 76019, USA. jaina@uta.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA fundamental understanding of drug diffusion and binding processes is critical for the design and optimization of a wide variety of drug delivery devices. Most of the past literature assume binding to occur uniformly throughout the tissue, or, at best, in specific layers of a multilayer tissue. However, in many realistic scenarios, such as in cancer-targeting drugs, drug binding occurs in discrete irregularly shaped regions.

methodsThis work presents mathematical modeling of drug diffusion and binding in a Cartesian tissue containing a number of irregularly shaped drug binding regions. Based on linear irreversible binding, an exact expression for the transient concentration distribution in the tissue, and thus, the amount of bound drug is derived. A comprehensive verification of the theoretical model, including comparison with past work, is presented.

resultsThe capability of the theoretical model to account for irregular non-Cartesian shapes of the drug binding regions is demonstrated by solving a number of illustrative problems. The impact of the location and size of a drug binding region on the extent of drug binding is determined. Comparison between a single large drug binding region and two smaller drug binding regions is carried out.

conclusionsThis work advances the literature on drug diffusion and binding by making it possible to account for realistic, irregular shapes of drug binding regions. The model may help design and optimize drug delivery processes and devices in the presence of realistic drug binding regions.

Indexed as

Drug Delivery SystemsModels, BiologicalBinding SitesDiffusionHumansPharmaceutical PreparationsTissue DistributionPharmaceutical PreparationsDrug bindingLocalized drug deliveryMass transferTheoretical modeling

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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.