Literature DB >> 26934165

Mathematical modeling for local trans-round window membrane drug transport in the inner ear.

Yue Zhang1, Huanpeng Su1, Lu Wen1, Fan Yang1, Gang Chen1.   

Abstract

The structure and composition of the round window membrane (RWM) make it a particularly effective pathway for drug delivery to the inner ear. Therefore, predicting the efficiency of RWM transport would provide useful information for enhancing local application. In the present study, a mathematical model was established to achieve this goal. A series of drugs with different physicochemical properties were introduced in the inner ear cavity of guinea pigs via RWM by intratympanic application. The perilymphatic drug concentration (C) data were used to calculate the permeability coefficient (Kp) of different drugs diffusing through the RWM. The experimental data were fitted using the Matlab software to set up the numerical model based on Fick's diffusion law and the single-compartment model following extravascular administration, which facilitated the prediction of the permeation profiles of different drugs while trans-RWM. In summary, this mathematical model is a contribution toward developing potentially useful RWM administration simulating tools.

Entities:  

Keywords:  Inner ear drug delivery; mathematical model; permeability coefficient; round window membrane; topical administration

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Year:  2016        PMID: 26934165     DOI: 10.3109/10717544.2016.1149745

Source DB:  PubMed          Journal:  Drug Deliv        ISSN: 1071-7544            Impact factor:   6.419


  2 in total

1.  Understanding the translocation mechanism of PLGA nanoparticles across round window membrane into the inner ear: a guideline for inner ear drug delivery based on nanomedicine.

Authors:  Liping Zhang; Yuan Xu; Wenjuan Cao; Shibao Xie; Lu Wen; Gang Chen
Journal:  Int J Nanomedicine       Date:  2018-01-22

Review 2.  The paradigm shift for drug delivery systems for oral and maxillofacial implants.

Authors:  Rafal Pokrowiecki
Journal:  Drug Deliv       Date:  2018-11       Impact factor: 6.419

  2 in total

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