| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-024-47123-9 |
| Popis: |
Abstract Tears have emerged as a promising alternative to blood for diagnosing diabetes. Despite increasing attempts to measure tear glucose using smart contact lenses, the controversy surrounding the correlation between tear glucose and blood glucose still limits the clinical usage of tears. Herein, we present an in-depth investigation of the correlation between tear glucose and blood glucose using a wireless and soft smart contact lens for continuous monitoring of tear glucose. This smart contact lens is capable of quantitatively monitoring the tear glucose levels in basal tears excluding the effect of reflex tears which might weaken the relationship with blood glucose. Furthermore, this smart contact lens can provide an unprecedented level of continuous tear glucose data acquisition at sub-minute intervals. These advantages allow the precise estimation of lag time, enabling the establishment of the concept called ‘personalized lag time’. This demonstration considers individual differences and is successfully applied to both non-diabetic and diabetic humans, as well as in animal models, resulting in a high correlation. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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