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Permeability of cornea, sclera, and conjunctiva: A literature analysis for drug delivery to the eye

Prausnitz, Mark R., Noonan, Jeremy S.·1998·Journal of Pharmaceutical Sciences

Abstract

The objective of this study was to collect a comprehensive database of ocular tissue permeability measurements found in a review of the literature to guide models for drug transport in the eye. Well over 300 permeability measurements of cornea, sclera, and conjunctiva, as well as corneal epithelium, stroma, and endothelium, were obtained for almost 150 different compounds from more than 40 different studies. In agreement with previous work, the corneal epithelium was shown generally to control transcorneal transport, where corneal stroma and endothelium contribute significantly only to the barrier for small, lipophilic compounds. In addition, other quantitative comparisons between ocular tissues are presented. This study provides an extensive database of ocular tissue permeabilities, which should be useful for future development and validation of models to predict rates of drug delivery to the eye.

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Metadata

Authors
Prausnitz, M. R., & Noonan, J. S.
Venue
Journal of Pharmaceutical Sciences
Published
1998-12
Volume
87
Issue
12
Pages
1479-1488
ISSN
0022-3549 (ISSN-L)
OpenAlex
W1996853317
Cited by
627
References
0
FWCI
5.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Permeability of cornea, sclera, and conjunctiva: A literature analysis for drug delivery to the eye. https://app.cochat.ai/papers/10.1021/js9802594
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Prausnitz, M. R., & Noonan, J. S. (1998). Permeability of cornea, sclera, and conjunctiva: A literature analysis for drug delivery to the eye. Journal of Pharmaceutical Sciences. https://doi.org/10.1021/js9802594

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.