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A Microchambers Containing Contact Lens for the Noninvasive Detection of Tear Exosomes.

Authors :
Li, Shaopei
Zhu, Yangzhi
Haghniaz, Reihaneh
Kawakita, Satoru
Guan, Shenghan
Chen, Jianjun
Li, Zijie
Mandal, Kalpana
Bahari, Jamal
Shah, Shilp
Guo, Juchen
Kang, Heemin
Sun, Wujin
Kim, Han‐Jun
Jucaud, Vadim
Dokmeci, Mehmet R.
Kollbaum, Pete
Lee, Chi Hwan
Khademhosseini, Ali
Source :
Advanced Functional Materials. 10/26/2022, Vol. 32 Issue 44, p1-14. 14p.
Publication Year :
2022

Abstract

Exosomes, a form of small extracellular vesicles, play a crucial role in the metastasis of cancers and thus are investigated as potential biomarkers for cancer diagnosis. However, conventional detection methods like immune‐based assay and microRNA analyses are expensive and require tedious pretreatments and lengthy analysis time. Since exosomes related to cancers are reported to exist in tears, a poly(2‐hydroxyethyl methacrylate) contact lens embedded with antibody‐conjugated signaling microchambers (ACSM‐PCL) capable of detecting tear exosomes is reported. The ACSM‐PCL exhibits high optical transparency and mechanical properties, along with extraordinary biocompatibility and good sensitivity to exosomes. A gold nanoparticle colorimetric assay is employed to visualize captured exosomes. The ACSM‐PCL can detect exosomes in the pH range of 6.5–7.4 (similar to the human tear pH) and have a strong recovery yield in bovine serum albumin solutions. In particular, the ACSM‐PCL can detect exosomes in various solutions, including regular buffer, cell culture media from various cell lines, and human tears. Finally, the ACSM‐PCL can differentiate expression of exosome surface proteins hypothesized as cancer biomarkers. With these encouraging results, this ACSM‐PCL is promised to be the next generation smart contact lens as an easy‐to‐use, rapid, noninvasive monitoring platform of cancer pre‐screening and supportive diagnosis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1616301X
Volume :
32
Issue :
44
Database :
Academic Search Index
Journal :
Advanced Functional Materials
Publication Type :
Academic Journal
Accession number :
159937403
Full Text :
https://doi.org/10.1002/adfm.202206620