Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
A prospective, longitudinal study to characterize tear proteome in young adults during the progression of dry eye disease
Author Affiliations & Notes
  • Debarun Dutta
    Optometry and Vision Science Research Group, Aston University, Birmingham, Birmingham, United Kingdom
  • James Stuart Wolffsohn
    Optometry and Vision Science Research Group, Aston University, Birmingham, Birmingham, United Kingdom
  • Rachel Kathryn Casemore
    Optometry and Vision Science Research Group, Aston University, Birmingham, Birmingham, United Kingdom
  • Footnotes
    Commercial Relationships   Debarun Dutta Novoxel, Code C (Consultant/Contractor), Johnson and Johnson, Code C (Consultant/Contractor), CooperVision, Code F (Financial Support); James Wolffsohn AOS, Code C (Consultant/Contractor), Bausch and Lomb, Code C (Consultant/Contractor), CSI Dryeye, Code C (Consultant/Contractor), Dopavision, Code C (Consultant/Contractor), Alcon, Code F (Financial Support), Allergan, Code F (Financial Support), Coopervision , Code F (Financial Support), Aston Vision Science, Code S (non-remunerative); Rachel Casemore None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 6586. doi:
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      Debarun Dutta, James Stuart Wolffsohn, Rachel Kathryn Casemore; A prospective, longitudinal study to characterize tear proteome in young adults during the progression of dry eye disease. Invest. Ophthalmol. Vis. Sci. 2024;65(7):6586.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Proteomic analysis of tears plays a major role understanding the pathogenesis and management of dry eye disease (DED), however limited data is available for young adults. The study aimed to identify key tear proteins in DED in young adults and characterise longitudinal changes in tear proteome.

Methods : A prospective, longitudinal, observational study was conducted on participants with or without DED (TFOS DEWS II criteria) and followed for 1 year. Participants with recent history of allergy or use of medications known to affect the eyes were excluded. A battery of clinical tests was conducted to assess DED, followed by tear protein analysis. Briefly, basal tears (>4 µL) were collected using glass microcapillary tubes and processed for a panel of proteins (14-230 kDa) using a quantitative microfluidic system (Protein230 LabChip; Agilent 2100 Bioanalyzer). Corelations with clinical findings of DED in young adults with individual tear proteins were established.

Results : Participants’ mean age was 19.9±1.6 yr, 72% were female. Protein profiles were obtained for 25 DED (25) and 20 non-DED (14) participants (at 1 year). Lysozyme, lipocalin, albumin, lactoferrin, secretory immunoglobulin-A-light chain(slgA), zinc-α2 glycoprotein(ZAG) and a few unidentified proteins in 47kDa, 100kDa, 147kDa and 167 kDa were found. Total protein concentration initially and after 1 year was 4.50±2.45 and 4.93±2.70 mg/ml (p=0.518) respectively. DED participants had a significantly higher concentration (p<0.001) and percentage (p=0.003) of albumin, lower percentage lactoferrin (p=0.009) and ZAG (p=0.080) compared to non-DED participants. Initially, ZAG percentage concentration was significantly (P<0.05) negatively correlated with key DED signs: corneal staining (r=-0.360), meibum quality (r=-0.334), upper / lower lid gland loss (r=-0.296 / -0.297) and after 1 year with NIKBUT (r=-0.396). Lipocalin initially showed similar correlation (P<0.05) with corneal staining (r=-0.341) and horizontal lid wiper epitheliopathy (r=0.300), and after 1 year with NIKBUT (r=-0.377).

Conclusions : The results underpin the importance of monitoring the kinetics of five key tear proteins in DED progression: ZAG, lipocalin, lactoferrin, albumin and lysozyme. Progression of DED signs were specifically associated with upregulation of albumin and downregulation of lactoferrin and ZAG in young adults.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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