Literature DB >> 32227027

Contact lens-based lysozyme detection in tear using a mobile sensor.

Zachary Ballard1, Sarah Bazargan, Diane Jung, Shyama Sathianathan, Ashley Clemens, Daniel Shir, Saba Al-Hashimi, Aydogan Ozcan.   

Abstract

We report a method for sensing analytes in tear-fluid using commercial contact lenses (CLs) as sample collectors for subsequent analysis with a cost-effective and field-portable reader. In this study we quantify lysozyme, the most prevalent protein in tear fluid, non-specifically bound to CLs worn by human participants. Our mobile reader uses time-lapse imaging to capture an increasing fluorescent signal in a standard well-plate, the rate-of-change of which is used to indirectly infer lysozyme concentration through the use of a standard curve. We empirically determined the best-suited CL material for our sampling procedure and assay, and subsequently monitored the lysozyme levels of nine healthy human participants over a two-week period. Of these participants who were regular CL wearers (6 out of 9), we observed an increase in lysozyme levels from 6.89 ± 2.02 μg mL-1 to 10.72 ± 3.22 μg mL-1 (mean ± SD) when inducing an instance of digital eye-strain by asking them to play a game on their mobile-phones during the CL wear-duration. We also observed a lower mean lysozyme concentration (2.43 ± 1.66 μg mL-1) in a patient cohort with dry eye disease (DED) as compared to the average monitoring level of healthy (no DED) human participants (6.89 ± 2.02 μg mL-1). Taken together, this study demonstrates tear-fluid analysis with simple and non-invasive sampling steps along with a rapid, easy-to-use, and cost-effective measurement system, ultimately indicating physiological differences in human participants. We believe this method could be used in future tear-fluid studies, even supporting multiplexed detection of a panel of tear biomarkers toward improved diagnostics and prognostics as well as personalized mobile-health applications.

Entities:  

Year:  2020        PMID: 32227027      PMCID: PMC7189769          DOI: 10.1039/c9lc01039d

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  54 in total

Review 1.  Tear analysis in ocular surface diseases.

Authors:  Lei Zhou; Roger W Beuerman
Journal:  Prog Retin Eye Res       Date:  2012-06-23       Impact factor: 21.198

2.  Predictive role of tear protein expression in the early diagnosis of Sjögren's syndrome.

Authors:  Piera Versura; Giuseppe Giannaccare; Gentiana Vukatana; Rita Mulè; Nazzarena Malavolta; Emilio C Campos
Journal:  Ann Clin Biochem       Date:  2018-01-30       Impact factor: 2.057

Review 3.  Laboratory findings in tear fluid analysis.

Authors:  Yoshiki Ohashi; Murat Dogru; Kazuo Tsubota
Journal:  Clin Chim Acta       Date:  2006-03-03       Impact factor: 3.786

4.  Extensive characterization of human tear fluid collected using different techniques unravels the presence of novel lipid amphiphiles.

Authors:  Sin Man Lam; Louis Tong; Xinrui Duan; Andrea Petznick; Markus R Wenk; Guanghou Shui
Journal:  J Lipid Res       Date:  2013-11-28       Impact factor: 5.922

5.  Detection of HIV-1 viruses in tears of patients even under long-term HAART.

Authors:  Yang Han; Ning Wu; Weijun Zhu; Yanling Li; Lingyan Zuo; Junjie Ye; Zhifeng Qiu; Jing Xie; Taisheng Li
Journal:  AIDS       Date:  2011-09-24       Impact factor: 4.177

6.  Schirmer strip vs. capillary tube method: non-invasive methods of obtaining proteins from tear fluid.

Authors:  Andreas Posa; Lars Bräuer; Martin Schicht; Fabian Garreis; Stephanie Beileke; Friedrich Paulsen
Journal:  Ann Anat       Date:  2012-10-23       Impact factor: 2.698

7.  A contact lens with embedded sensor for monitoring tear glucose level.

Authors:  Huanfen Yao; Angela J Shum; Melissa Cowan; Ilkka Lähdesmäki; Babak A Parviz
Journal:  Biosens Bioelectron       Date:  2010-12-31       Impact factor: 10.618

8.  Analysis of human tear protein profiles using high performance liquid chromatography (HPLC).

Authors:  R J Boukes; A Boonstra; A C Breebaart; D Reits; E Glasius; L Luyendyk; A Kijlstra
Journal:  Doc Ophthalmol       Date:  1987 Sep-Oct       Impact factor: 2.379

9.  Quantity and conformation of lysozyme deposited on conventional and silicone hydrogel contact lens materials using an in vitro model.

Authors:  Maciej Suwala; Mary-Ann Glasier; Lakshman N Subbaraman; Lyndon Jones
Journal:  Eye Contact Lens       Date:  2007-05       Impact factor: 2.018

Review 10.  Biological and Clinical Implications of Lysozyme Deposition on Soft Contact Lenses.

Authors:  Negar Babaei Omali; Lakshman N Subbaraman; Chantal Coles-Brennan; Zohra Fadli; Lyndon W Jones
Journal:  Optom Vis Sci       Date:  2015-07       Impact factor: 1.973

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  5 in total

Review 1.  On-Chip Detection of the Biomarkers for Neurodegenerative Diseases: Technologies and Prospects.

Authors:  Chao Song; Suya Que; Lucas Heimer; Long Que
Journal:  Micromachines (Basel)       Date:  2020-06-28       Impact factor: 2.891

Review 2.  Wearable Biosensors: An Alternative and Practical Approach in Healthcare and Disease Monitoring.

Authors:  Atul Sharma; Mihaela Badea; Swapnil Tiwari; Jean Louis Marty
Journal:  Molecules       Date:  2021-02-01       Impact factor: 4.411

3.  Smart Contact Lens with Dual-Sensing Platform for Monitoring Intraocular Pressure and Matrix Metalloproteinase-9.

Authors:  Ying Ye; Yuancai Ge; Qingwen Zhang; Meiling Yuan; Yu Cai; Kang Li; Yang Li; Ruifeng Xie; Changshun Xu; Danfeng Jiang; Jia Qu; Xiaohu Liu; Yi Wang
Journal:  Adv Sci (Weinh)       Date:  2022-02-23       Impact factor: 17.521

4.  Anti-Oxidative and Anti-Inflammatory Micelles: Break the Dry Eye Vicious Cycle.

Authors:  Su Li; Zhouyu Lu; Yue Huang; Yin Wang; Qiao Jin; Xingchao Shentu; Juan Ye; Jian Ji; Ke Yao; Haijie Han
Journal:  Adv Sci (Weinh)       Date:  2022-04-18       Impact factor: 17.521

Review 5.  Fluorescence Sensing Technologies for Ophthalmic Diagnosis.

Authors:  Yuqi Shi; Yubing Hu; Nan Jiang; Ali K Yetisen
Journal:  ACS Sens       Date:  2022-05-31       Impact factor: 9.618

  5 in total

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