Comparative analysis of human tear fluid and aqueous humor proteomes.

Aqueous humor Biomarkers Proteomics Tear fluid

Journal

The ocular surface
ISSN: 1937-5913
Titre abrégé: Ocul Surf
Pays: United States
ID NLM: 101156063

Informations de publication

Date de publication:
30 Mar 2024
Historique:
received: 24 10 2023
revised: 15 03 2024
accepted: 29 03 2024
medline: 2 4 2024
pubmed: 2 4 2024
entrez: 1 4 2024
Statut: aheadofprint

Résumé

Technological advancements allowing for the analysis of low-volume samples have led to the investigation of human tear fluid and aqueous humor (AH) as potential biomarker sources. However, acquiring AH samples poses significant challenges, making human tear fluid a more accessible alternative. This study aims to compare the protein compositions of these two biofluids to evaluate their suitability for biomarker discovery. Paired tear and AH samples were collected from 20 patients undergoing cataract surgery. Tear samples were collected using Schirmer strips prior to surgery, and AH samples were collected from the anterior chamber immediately after corneal incision. Proteins were extracted and analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). A total of 481 proteins were identified in greater than 50% of the tear samples, and 191 proteins were detected in greater than 50% of the AH samples. Of these proteins, 82 were found to be common between the two biofluids, with ALB, LTF, TF, LCN1, and IGKC being the most abundant. Although tear fluid and the AH are functionally independent and physically separated, many of the proteins detected in AH were also detected in tears. This direct comparison of the proteomic content of tear fluid and AH may aid in further investigation of tear fluid as a source of readily accessible biomarkers for various human diseases.

Identifiants

pubmed: 38561100
pii: S1542-0124(24)00040-5
doi: 10.1016/j.jtos.2024.03.011
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

August Beisel (A)

Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: abeisel@augusta.edu.

Garrett Jones (G)

Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: garjones@augusta.edu.

Joshua Glass (J)

Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: josglass@augusta.edu.

Tae Jin Lee (TJ)

Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: talee@augusta.edu.

Marc Töteberg-Harms (M)

Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: mtoetebergharms@augusta.edu.

Amy Estes (A)

Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: aestes@augusta.edu.

Lane Ulrich (L)

Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: lulrich@augusta.edu.

Kathryn Bollinger (K)

Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: kbollinger@augusta.edu.

Shruti Sharma (S)

Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA; Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: shsharma@augusta.edu.

Ashok Sharma (A)

Department of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA; Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA; Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: assharma@augusta.edu.

Classifications MeSH