ReviewProgress in retinal and eye research2024
Modeling complex age-related eye disease.
Review in Progress in retinal and eye research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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
19 citing papers in PubMed, 21 citations in OpenAlex.
- Retinal age gap in unilateral retinal diseases with unaffected fellow eye: phakia and vascular pathology impact retinal age prediction.Japanese journal of ophthalmology · 2026Article
- Clinical Surrogate Endpoints in Malattia Leventinese/Doyne Honeycomb Retinal Dystrophy: Findings From a Two-Year Natural History Study.Investigative ophthalmology & visual science · 2026Article
- Proteomic clocks combined with deep learning phenotypes track eye aging and diseases.NPJ digital medicine · 2026Article
- The aging eye: navigating molecular mechanisms and innovative interventions.Biogerontology · 2026Review
- Healing of ischemic injury in the retina.Science advances · 2026Article
- Directional drift in biologically meaningful vector planes: A proposed geometric framework for early detection of subthreshold disease.PloS one · 2026Article
- Extracellular vesicles derived from TNF-α-preconditioned mesenchymal stem cells mitigate inflammatory retinal injury.Extracellular vesicles and circulating nucleic acids · 2026Article
- Article
- Simultaneous generation of transplantable RGC-like and corneal progenitor cells from hiPSCs using a dual-lineage platform.Stem cell research & therapy · 2025Article
- Targeting RPE Senescence Via Suppressing IL-6/IL-6R Signaling for Treating Retinal Degenerative Diseases.Investigative ophthalmology & visual science · 2025Article
- Association of Unhealthy Lifestyles with Cataract Risk, and The Mediating Role of Metabolic Signature: Analysis of the UK Biobank Prospective Cohort.Aging and disease · 2025Article
- Functional genomics in age-related macular degeneration: From genetic associations to understanding disease mechanisms.Experimental eye research · 2025Review
- Mesenchymal Stem Cell-Derived Exosomes for Ocular Diseases: Therapeutic Mechanisms and Clinical Perspectives.International journal of nanomedicine · 2025Review
- Comparative morphological analysis of the zonular apparatus in porcine, feline, and canine species.Frontiers in medicine · 2025Article
- Animal Models of Human Disease 2.0.International journal of molecular sciences · 2024Article
- Organoids: development and applications in disease models, drug discovery, precision medicine, and regenerative medicine.MedComm · 2024Review
- Dexamethasone Impairs ATP Production and Mitochondrial Performance in Human Trabecular Meshwork Cells.Current issues in molecular biology · 2024Article
- Mendelian randomization implicates causal association between epigenetic age acceleration and age-related eye diseases or glaucoma endophenotypes.Clinical epigenetics · 2024Article
- The application of retinal organoids in ophthalmic regenerative medicine: A mini-review.Regenerative therapy · 2024Review
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 1 institution in 1 country.
Funding
Abstract
Modeling complex eye diseases like age-related macular degeneration (AMD) and glaucoma poses significant challenges, since these conditions depend highly on age-related changes that occur over several decades, with many contributing factors remaining unknown. Although both diseases exhibit a relatively high heritability of >50%, a large proportion of individuals carrying AMD- or glaucoma-associated genetic risk variants will never develop these diseases. Furthermore, several environmental and lifestyle factors contribute to and modulate the pathogenesis and progression of AMD and glaucoma. Several strategies replicate the impact of genetic risk variants, pathobiological pathways and environmental and lifestyle factors in AMD and glaucoma in mice and other species. In this review we will primarily discuss the most commonly available mouse models, which have and will likely continue to improve our understanding of the pathobiology of age-related eye diseases. Uncertainties persist whether small animal models can truly recapitulate disease progression and vision loss in patients, raising doubts regarding their usefulness when testing novel gene or drug therapies. We will elaborate on concerns that relate to shorter lifespan, body size and allometries, lack of macula and a true lamina cribrosa, as well as absence and sequence disparities of certain genes and differences in their chromosomal location in mice. Since biological, rather than chronological, age likely predisposes an organism for both glaucoma and AMD, more rapidly aging organisms like small rodents may open up possibilities that will make research of these diseases more timely and financially feasible. On the other hand, due to the above-mentioned anatomical and physiological features, as well as pharmacokinetic and -dynamic differences small animal models are not ideal to study the natural progression of vision loss or the efficacy and safety of novel therapies. In this context, we will also discuss the advantages and pitfalls of alternative models that include larger species, such as non-human primates and rabbits, patient-derived retinal organoids, and human organ donor eyes.
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What OpenQuestion 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 OpenQuestion graph.