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← brief for 2026-09-14 · Regeneration & devices

Tear-Based Dynamic Network Biomarkers for Pre-Disease Detection of Hyperuricemic Nephropathy via Smart Contact Lens

Paper D Peer reviewed Preclinical

Key takeaways

Researchers built a smart contact lens that reads chemical markers in tears, aiming to catch kidney damage caused by high uric acid before it shows up as disease. Uric acid is a waste product that can injure the kidney filters when it stays too high. This is early laboratory and device work, and there is no evidence yet that it has been tested as a diagnostic tool in people with kidney disease. Treat it as a promising idea, not something a clinic can use.

Who did this work

Hayoung Song (Yonsei University) · Yeon‐Mi Hong (Yonsei University) · Dayeon Kim (Yonsei University) · Joonho Paek (Yonsei University) · Wonjung Park (Yonsei University) · Hunkyu Seo (Yonsei University) · Jakyoung Lee (Yonsei University) · Jihui Lee (Yonsei University) · Dongwook Lee (Yonsei University) · Jayoung Kim (Yonsei University) · Jang‐Ung Park (Yonsei University)

Source

Paper · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-09-12
https://doi.org/10.1021/acsnano.6c11068