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Real-time intraocular pressure monitoring and responsive drug release in preclinical models by an all-polymer smart contact lens

  • Yuting Cai
  • , Chenguang Zhang
  • , Pengrui Dang
  • , Chenshu Liu
  • , Yuxuan Du
  • , Reihaneh Haghniaz
  • , Jiechen Wang
  • , Safoora Khosravi
  • , Zhengtang Luo
  • , Peyman Servati
  • , Lili Chen
  • , James S. Wolffsohn
  • , Tae-Woo Lee
  • , Yangzhi Zhu

Research output: Contribution to journalArticlepeer-review

Abstract

Glaucoma remains a leading cause of irreversible blindness worldwide, yet conventional topical therapies are often hampered by poor patient adherence, and standard in-office applanation tonometry captures only static measurements, failing to capture the dynamic nature of intraocular pressure (IOP). Smart contact lenses have emerged as promising tools for home-based, real-time IOP monitoring and feedback-guided therapy; however, most rely on bulky or rigid electronics that impair comfort, safety, and visual performance. Here, we report a battery-free, all-polymer microfluidic theranostic smart contact lens (AP-TSCL) that enables autonomous IOP-responsive glaucoma therapy without bulky electronic components. The AP-TSCL integrates a noninvasive microfluidic IOP sensor with a multistage, pressure-gated drug delivery architecture. Embedded microchannels define distinct activation thresholds, enabling lens deformation under elevated IOP to drive staged release from multiple drug reservoirs. Across in vitro (artificial eye model), ex vivo (enucleated bovine eyes), and in vivo (rabbit ocular hypertension) studies, the device achieved tonometry-aligned IOP tracking, pressure-triggered delivery of timolol or brimonidine above preset thresholds, and IOP lowering comparable to conventional topical therapy. This preclinical evidence suggests that the fully integrated platform may overcome key limitations of existing technologies and offers a clinically translatable solution for personalized ocular care.

Original languageEnglish
Article numbereads9541
JournalScience Translational Medicine
Volume18
Issue number844
Early online date8 Apr 2026
DOIs
Publication statusPublished - 8 Apr 2026

Bibliographical note

Copyright © 2026 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. This is the author's version of the work. It is posted here by permission of the
AAAS for personal use, not for redistribution. The definitive version was published in Science Translational Medicine on 8 April 2026; https://doi.org/10.1126/scitranslmed.ads9541

Data Access Statement

All raw and processed data underlying the figures are provided in the main text, Supplementary Materials, and Data file S1. A full code is publicly available on GitHub under the project “IOP-Microfluid-Tracking”: https://github.com/ChenshuLiu/IOP-Microfluid-tracking.git. An immutable snapshot of the repository is archived on Zenodo (DOI: 10.5281/zenodo.17926949). All other materials are commercially available. Non-commercial, lab-fabricated components, such as AP-TSCL device prototypes, fabrication molds/masters, and related custom parts, are available from the corresponding author upon reasonable request and, where required, under a standard MTA.

Funding

Terasaki Institute for Biomedical Innovation, Faculty Startup Fund to Y.Z.Z; National Research Foundation of Korea (NRF), Nano & Material Technology Development Program (RS-860 2024-00416938) to T.-W.L., funded by the Ministry of Science and ICT.

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