SynthesisMolecular and cellular biochemistry2020
Autophagy modulation in animal models of corneal diseases: a systematic review.
Synthesis in Molecular and cellular biochemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Targeted AAV6 gene therapy restores corneal endothelial function in three hereditary corneal dystrophies.Cell reports. Medicine · 2026Article
- Repair of Corneal Epithelial Defects.Progress in molecular and subcellular biology · 2026Review
- Thrombospondin 1 Mediates Autophagy Upon Inhibition of the Rho-Associated Protein Kinase Inhibitor.Cells · 2024Article
- Squishy matters - Corneal mechanobiology in health and disease.Progress in retinal and eye research · 2024Review
- Autophagy in dry eye disease: Therapeutic implications of autophagy modulators on the ocular surface.Indian journal of ophthalmology · 2023Review
- Autophagy in the normal and diseased cornea.Experimental eye research · 2022Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autophagy is an intracellular catabolic process implicated in the recycling and degradation of intracellular components. Few studies have defined its role in corneal pathologies. Animal models are essential for understanding autophagy regulation and identifying new treatments to modulate its effects. A systematic review (SR) was conducted of studies employing animal models for investigations of autophagy in corneal diseases. Studies were identified using a structured search strategy (TS = autophagy AND cornea*) in Web of Science, Scopus, and PubMed from inception to September 2019. In this study, 230 articles were collected, of which 28 were analyzed. Mouse models were used in 82% of the studies, while rat, rabbit, and newt models were used in the other 18%. The most studied corneal layer was the epithelium, followed by the endothelium and stroma. In 13 articles, genetically modified animal models were used to study Fuch endothelial corneal dystrophy (FECD), granular corneal dystrophy type 2 (GCD2), dry eye disease (DED), and corneal infection. In other 13 articles, animal models were experimentally induced to mimic DED, keratitis, inflammation, and surgical scenarios. Furthermore, in 50% of studies, modulators that activated or inhibited autophagy were also investigated. Protective effects of autophagy activators were demonstrated, including rapamycin for DED and keratitis, lithium for FECD, LYN-1604 for DED, cysteamine and miR-34c antagomir for damaged corneal epithelium. Three autophagy suppressors were also found to have therapeutic effects, such as aminoimidazole-4-carboxamide-riboside (AICAR) for corneal allogeneic transplantation, celecoxib and chloroquine for DED.
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What Socratic holds
Registered trials
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 Socratic graph.