Evidence map›Paper›PMID 38441890›Full record

ArticleInvestigative ophthalmology & visual science2024

Unraveling the Intraday Variations in the Tear Fluid Proteome.

Garrett Jones, Jeremy Altman, Saleh Ahmed, Tae Jin Lee, Wenbo Zhi, Shruti Sharma, Ashok Sharma

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.3field-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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Tear fluid proteomics: a comparative study of DIA and DDA mass spectrometry.Journal of mass spectrometry and advances in the clinical lab · 2025
    Article
  4. Review
  5. 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

7 authors at 1 institution in 1 country.

Garrett JonesCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Jeremy AltmanCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Saleh AhmedCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Tae Jin LeeCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Wenbo ZhiCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Shruti SharmaCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Ashok SharmaCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, United States.
Augusta University · US

Funding

Module 3: Gene Expression/ProteomicsP30EY031631 · NEI · AUGUSTA UNIVERSITY · PI Xingjun Fan · 2020 to 2026
$3.6M
Targeting Interleukin-6 Trans-signaling in Diabetic RetinopathyR01EY026936 · NEI · AUGUSTA UNIVERSITY · PI SHARMA, SHRUTI · 2016 to 2019
$1.5M
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 EY026936NEI NIH HHS R01 EY029728
6 · The paper itself

Abstract

Purpose: Tear fluid is a complex and dynamic biological fluid that plays essential roles in maintaining ocular homeostasis and protecting against the external environment. Owing to the small sample volume, studying the tear proteome is challenging. However, advances in high-resolution mass spectrometry have expanded tear proteome profiling, revealing >500 unique proteins. Tears are emerging as a noninvasive source of biomarkers for both ocular and systemic diseases; nevertheless, intraday variability of proteins in tear fluid remains questionable. This study investigates intraday variations in the tear fluid proteome to identify stable proteins that could act as candidate biomarkers. Methods: Tear samples from 15 individuals at four time points (10 am, 12 pm, 2 pm, and 4 pm) were analyzed using mass spectrometry to evaluate protein variation during these intervals. Technical variation was assessed by analyzing pooled samples and was subtracted from the total variation to isolate biological variability. Results: Owing to high technical variation, low-abundant proteins were filtered, and only 115 proteins met the criteria for further analysis. These criteria include being detected at all four time points in at least eight subjects, having a mean peptide-spectrum match count greater than 5, and having a technical variation less than 0.10. Lactotransferrin, lipocalin-1, and several immunoglobulins were among the 51 stable proteins (mean biological coefficient of variation < 0.10). Additionally, 43 proteins displayed significant slopes across the 4 time points, with 17 increasing and 26 decreasing over time. Conclusions: These findings contribute to the understanding of tear fluid dynamics and further expand our knowledge of the tear proteome.

Indexed as

Diet, Protein-RestrictedProteomeBiomarkersCorrelation of DataEyeHumansBiomarkersProteome

Identifiers

PMID38441890
PMCPMC10916888
OpenAlexW4392454777

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.