Evidence map›Paper›PMID 32227027›Full record

ArticleLab on a chip2020

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

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

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Ocular tear fluid biomarkers collected by contact lenses.Biochemical and biophysical research communications · 2024
    Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Anti-Oxidative and Anti-Inflammatory Micelles: Break the Dry Eye Vicious Cycle.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  12. Article
  13. Review
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Zachary BallardDepartment of Electrical and Computer Engineering, University of California, Los Angeles, USA. ozcan@ucla.edu.
Sarah Bazargan
Diane Jung
Shyama Sathianathan
Ashley Clemens
Daniel Shir
Saba Al-Hashimi
Aydogan Ozcan
University of California, Los Angeles · USCalifornia NanoSystems Institute · US

Funding

Label-free, non-invasive and cost-effective monitoring of HIV viral load using a nano-plasmonic sensor on a contact lensR21EB023115 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OZCAN, AYDOGAN · 2016 to 2017
$424k
NIBIB NIH HHS R21 EB023115
6 · The paper itself

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

Indexed as

Contact Lenses, HydrophilicDry Eye SyndromesAntiviral AgentsHumansMuramidaseTearsAntiviral AgentsMuramidase

Identifiers

PMID32227027
PMCPMC7189769
OpenAlexW3013400935

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.