In-depth correlation analysis between tear glucose and blood glucose using a wireless smart contact lens

• DOI: 10.1038/s41467-024-47123-9
• Publication Date: 2024-04-02T05:01:44Z
• Authors: Wonjung Park; Hunkyu Seo; Jeongho Kim; Yeon-Mi Hong; Hayoung Song; Byung Jun Joo; Sumin Kim; Enji Kim; Che-Gyem Yae; Jeonghyun Kim; Jonghwa Jin; Joohee Kim; Yong-ho Lee; Jayoung Kim; Hong Kyun Kim; Jang-Ung Park
• Keywords: 0301 basic medicine; 03 medical and health sciences; Science; Q; Article

Abstract Tears have emerged as a promising alternative to blood for diagnosing diabetes. Despite increasing attempts measure tear glucose using smart contact lenses, the controversy surrounding correlation between and still limits clinical usage of tears. Herein, we present an in-depth investigation wireless soft lens continuous monitoring glucose. This is capable quantitatively levels in basal tears excluding effect reflex which might weaken relationship with Furthermore, this can provide unprecedented level data acquisition at sub-minute intervals. These advantages allow precise estimation lag time, enabling establishment concept called ‘personalized time’. demonstration considers individual differences successfully applied both non-diabetic diabetic humans, well animal models, resulting high correlation.