ReviewAnimal models and experimental medicine2021
An insight on established retinal injury mechanisms and prevalent retinal stem cell activation pathways in vertebrate models.
Review in Animal models and experimental medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 12 citations in OpenAlex.
- Epigenetic Modifications in the Retinal Pigment Epithelium of the Eye During RPE-Related Regeneration or Retinal Diseases in Vertebrates.Biomedicines · 2025Review
- Small-Molecule-Directed Endogenous Regeneration of Visual Function in a Mammalian Retinal Degeneration Model.International journal of molecular sciences · 2024Article
- The Xaliproden Nanoscale Zirconium-Porphyrin Metal-Organic Framework (XAL-NPMOF) Promotes Photoreceptor Regeneration Following Oxidative and Inflammatory Insults.International journal of nanomedicine · 2024Article
- Molecular Signatures Integral to Natural Reprogramming in the Pigment Epithelium Cells after Retinal Detachment inInternational journal of molecular sciences · 2023Article
- Cellular and Molecular Triggers of Retinal Regeneration in Amphibians.Life (Basel, Switzerland) · 2023Review
- Pigment Epithelia of the Eye: Cell-Type Conversion in Regeneration and Disease.Life (Basel, Switzerland) · 2022Review
- Update of application of olfactory ensheathing cells and stem cells/exosomes in the treatment of retinal disorders.Stem cell research & therapy · 2022Review
- Retina regeneration: lessons from vertebrates.Oxford open neuroscience · 2022Review
- An insight on established retinal injury mechanisms and prevalent retinal stem cell activation pathways in vertebrate models.Animal models and experimental medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Implementing different tools and injury mechanisms in multiple animal models of retina regeneration, researchers have discovered the existence of retinal stem/progenitor cells. Although they appear to be distributed uniformly across the vertebrate lineage, the reparative potential of the retina is mainly restricted to lower vertebrates. Regenerative repair post-injury requires the creation of a proliferative niche, vital for proper stem cell activation, propagation, and lineage differentiation. This seems to be lacking in mammals. Hence, in this review, we first discuss the many forms of retinal injuries that have been generated using animal models. Next, we discuss how they are utilized to stimulate regeneration and mimic eye disease pathologies. The key to driving stem cell activation in mammals relies on the information we can gather from these models. Lastly, we present a brief update about the genes, growth factors, and signaling pathways that have been brought to light using these models.
Indexed as
Identifiers
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.