Evidence map›Paper›PMID 40634400›Full record

ArticleScientific reports2025

Reference genes validation in tear fluid for RNA analysis in ocular surface disease.

Diego A Ojeda, Hooman Ahmadzadeh, Sarp Orgul, Angela Gomez Bedoya, Swati Gupta, Katherine Held, Swarup S Swaminathan, Alfonso L Sabater

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Diego A OjedaDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 900 NW 17th St, Miami, FL, 33136, USA.
Hooman AhmadzadehDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 900 NW 17th St, Miami, FL, 33136, USA.
Sarp OrgulAlbany Medical College, Albany, NY, USA.
Angela Gomez BedoyaDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 900 NW 17th St, Miami, FL, 33136, USA.
Swati GuptaDevelopment Biological Sciences, AbbVie Inc., Irvine, CA, USA.
Katherine HeldOphthalmology Discovery Research, AbbVie Inc., Irvine, CA, USA.
Swarup S SwaminathanDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 900 NW 17th St, Miami, FL, 33136, USA.
Alfonso L SabaterDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, 900 NW 17th St, Miami, FL, 33136, USA. asabater@med.miami.edu.

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Victor L Perez · 2004 to 2026
$12.2M
NEI NIH HHS P30 EY014801NIH Center Core Grant P30EY014801Research to Prevent Blindness- Unrestricted Grant GR004596-1
6 · The paper itself

Abstract

Proper normalization of gene expression data is essential for detecting early molecular alterations in eye disorders. In this study, we assessed seven potential reference genes (18S, RER1, ACTB, GAPDH, PGK1, UBC, and AP3D1) in tear fluid collected from individuals with dry eye disease and glaucoma patients using benzalkonium-preserved topical medications, as well as from healthy controls. Utilizing various stability analysis methods (geNorm, NormFinder, comparative ∆CT method, BestKeeper, and RefFinder), we determined that 18S, RER1, and ACTB were the most stable reference genes, while UBC and AP3D1 displayed significant variability. To confirm these results, we evaluated the inflammasome-associated genes ASC and Caspase-1, which showed marked upregulation in patients' tear fluid when normalized with the top-rated reference genes. This finding emphasizes the critical nature of selecting robust reference genes. Our research underscores the significance of rigorous validation in studies involving tear fluid to ensure accurate gene expression results, thereby assisting in identifying clinically relevant biomarkers for ocular surface diseases. Implementing well-validated normalization methods will likely enhance sensitivity and specificity in recognizing early pathological developments in ocular surface conditions like dry eye disease or the toxicity associated with benzalkonium chloride-containing glaucoma medications.

Indexed as

Dry Eye SyndromesGlaucomaRNATearsAdultAgedBenzalkonium CompoundsFemaleGene Expression ProfilingHumansMaleMiddle AgedReference StandardsBenzalkonium CompoundsRNABenzalkonium chlorideDry eye diseaseGene expression normalizationGlaucomaInflammasome activationReference genesTear fluid

Identifiers

PMID40634400
PMCPMC12241312

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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.