Evidence map›Paper›PMID 38561100›Full record

ArticleThe ocular surface2024

Comparative analysis of human tear fluid and aqueous humor proteomes.

August Beisel, Garrett Jones, Joshua Glass, Tae Jin Lee, Marc Töteberg-Harms, Amy Estes, Lane Ulrich, Kathryn Bollinger, Shruti Sharma, Ashok Sharma

Open access · greenAbstract readComparative Study
In one paragraph

Article in The ocular surface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Tear fluid participates in systemic immunity.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  5. Article
  6. Article
  7. Article
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

10 authors at 1 institution in 1 country.

August BeiselDepartment of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: abeisel@augusta.edu.
Garrett JonesCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: garjones@augusta.edu.
Joshua GlassCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: josglass@augusta.edu.
Tae Jin LeeCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: talee@augusta.edu.
Marc Töteberg-HarmsDepartment of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: mtoetebergharms@augusta.edu.
Amy EstesDepartment of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: aestes@augusta.edu.
Lane UlrichDepartment of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: lulrich@augusta.edu.
Kathryn BollingerDepartment of Ophthalmology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA. Electronic address: kbollinger@augusta.edu.
Shruti SharmaDepartment 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 SharmaDepartment 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.
Augusta University · US

Funding

Module 3: Gene Expression/ProteomicsP30EY031631 · NEI · AUGUSTA UNIVERSITY · PI Xingjun Fan · 2020 to 2026
$3.6M
Proteomic Biomarkers for Glaucomatous Optic NeuropathyR01EY029728 · NEI · AUGUSTA UNIVERSITY · PI SHARMA, ASHOK · 2019 to 2022
$1.5M
NEI NIH HHS P30 EY031631NEI NIH HHS R01 EY029728
6 · The paper itself

Abstract

purposeTechnological 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.

methodsPaired 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).

resultsA 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.

conclusionAlthough 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.

Indexed as

Aqueous HumorBiomarkersEye ProteinsProteomeTandem Mass SpectrometryTearsAgedCataract ExtractionChromatography, LiquidFemaleHumansMaleMiddle AgedProteomicsBiomarkersEye ProteinsProteometear proteinsAqueous humorBiomarkersProteomicsTear fluid

Identifiers

PMID38561100
PMCPMC11179983
OpenAlexW4393346635

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.