Evidence map›Paper›PMID 41976030›Full record

ArticleAnimals : an open access journal from MDPI2026

Retinal Transcriptomic Signatures in Sudden Acquired Retinal Degeneration Syndrome (SARDS) and Cancer-Associated Retinopathy (CAR).

Sinisa Grozdanic, Aleksandar Poleksic, Djordje Racic, Dylan Bock, Tatjana Lazic, Markus Kuehn

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sinisa GrozdanicAnimal Eye Consultants of Iowa, Hiawatha, IA 52233, USA.ORCID 0000-0002-9892-3289
Aleksandar PoleksicDepartment of Computer Science, University of Northern Iowa, Cedar Falls, IA 50614, USA.
Djordje RacicAnimal Eye Consultants of Iowa, Hiawatha, IA 52233, USA.
Dylan BockDepartment of Computer Science, University of Northern Iowa, Cedar Falls, IA 50614, USA.ORCID 0009-0007-5269-6942
Tatjana LazicAnimal Eye Consultants of Iowa, Hiawatha, IA 52233, USA.
Markus KuehnDepartment of Ophthalmology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA.ORCID 0000-0003-3940-198X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to compare the retinal gene expression profiles in canines with Sudden Acquired Retinal Degeneration Syndrome (SARDS) and Cancer-Associated Retinopathy (CAR) and identify shared and distinct molecular pathways. Previously published SARDS and CAR canine retinal microarray data were used for the purposes of retinal transcriptomic pathway analysis, followed by KEGG and GO pathway enrichment analysis using DAVID and MetaCore tools. Gene expression patterns were analyzed to detect the most important signaling pathways. ProteinBERT deep-learning language model, and large language models (LLM-Grok 4, ChatGPT4o) were used for analytical prediction of possible drug targets. Both diseases showed significant upregulation in T-cell co-stimulation and complement activation pathways, including CD86, DLA-79, and C5AR1. Downregulated genes were enriched in pathways associated with visual perception and cardiomyocyte signaling. CAR exhibited upregulation of tumor-related chemokine signaling (e.g., CCR5, CXCR4), while SARDS showed pronounced enrichment in vascular inflammation pathways. Analysis of drug targets identified different classes of drugs, which could be potentially utilized for SARDS and CAR treatment. SARDS and CAR share immune-related molecular signatures but potentially differ in secondary mechanisms-vascular inflammation and endothelial activation in SARDS versus paraneoplastic mimicry in CAR. These data provide potential insight into the pathogenesis of SARDS as well as CAR, and identify potential diagnostic and therapeutic targets.

Indexed as

autoimmunityCARmolecularretinaSARDS

Identifiers

PMID41976030
PMCPMC13072124

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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.