Issue 9, 2022

A polydopamine-based photodynamic coating on the intraocular lens surface for safer posterior capsule opacification conquering

Abstract

Intraocular lens (IOL) is the indispensable implant for cataract surgery. However, posterior capsular opacification (PCO) happens in high incidence after IOL implantation. PCO is caused by adhesion, proliferation, and trans-differentiation of the residual human lens epithelial cells (HLECs). Despite the great achievements in surface coating and antiproliferative drug loading on the intraocular lens (IOL) for effective PCO prevention, the complex fabrication process and potential toxicity of the drugs still limit their clinical applications and commercial mass production. In this investigation, a convenient and efficient photodynamic therapy (PDT) coating fabricated by facile yet economical and practical dopamine self-polymerization was applied to IOL surface modification for PCO prevention. The optical properties of IOL, such as light transmittance, imaging quality and refractive index, remain unchanged after modification. Using an in vitro cell assay, the parameters of PDT were optimized. The PDT coating shows excellent biocompatibility in darkness and eliminates LECs significantly under irradiation. The research on the cell elimination mechanism showed that reactive oxygen species (ROS) mainly induced cell apoptosis. In vivo experiments demonstrated that the implantation of modified IOLs can prevent PCO effectively. As a result, this work provides a safe, simple and effective PDT coating for the IOL surface to reduce the incidence of PCO.

Graphical abstract: A polydopamine-based photodynamic coating on the intraocular lens surface for safer posterior capsule opacification conquering

Article information

Article type
Paper
Submitted
09 Jan 2022
Accepted
19 Feb 2022
First published
22 Feb 2022

Biomater. Sci., 2022,10, 2188-2197

A polydopamine-based photodynamic coating on the intraocular lens surface for safer posterior capsule opacification conquering

J. Qie, S. Wen, Y. Han, S. Liu, L. Shen, H. Chen and Q. Lin, Biomater. Sci., 2022, 10, 2188 DOI: 10.1039/D2BM00038E

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