ArticleTranslational vision science & technology2019
Noninvasive Imaging and Correlative Histology of Cone Photoreceptor Structure in the Pig Retina.
Article in Translational vision science & technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 11 citations in OpenAlex.
- Transcriptomic Analysis of Organotypic Porcine Retina Cultures.International journal of molecular sciences · 2026Article
- Feasibility Study of Decellularized Corneal Lenticule in a Porcine Model for Macular Hole Closure.Ophthalmology and therapy · 2026Article
- Combined Expression of hRdCVF and hRdCVFL Through AAV-Mediated Delivery for the Treatment of Retinitis Pigmentosa.Investigative ophthalmology & visual science · 2026Article
- Advances in RPGR gene therapy for X‑linked retinitis pigmentosa: From preclinical insights to clinical application (Review).International journal of molecular medicine · 2026Review
- iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.JCI insight · 2025Article
- Human iPSC-derived photoreceptor transplantation in the cone dominant 13-lined ground squirrel.Stem cell reports · 2024Article
- Distribution and Characteristics of Ocular Biometric Parameters among a Chinese Population: A Hospital-Based Study.Ophthalmology and therapy · 2023Article
- A versatile laser-induced porcine model of outer retinal and choroidal degeneration for preclinical testing.JCI insight · 2023Article
- Visualizing retinal cells with adaptive optics imaging modalities using a translational imaging framework.Biomedical optics express · 2022Article
- Automated image processing pipeline for adaptive optics scanning light ophthalmoscopy.Biomedical optics express · 2021Article
- Potential role of chimeric genes in pathway-related gene co-expression modules.World journal of surgical oncology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
purposeTo evaluate different methods of studying cone photoreceptor structure in wild-type (WT) and transgenic pigs carrying the human rhodopsin P23H mutant gene (TgP23H).
methodsFor in vivo imaging, pigs were anesthetized with tiletamine-zolazepam and isoflurane and given lidocaine-bupivacaine retrobulbar injections. Stay sutures and a custom head mount were used to hold and steer the head for adaptive optics scanning light ophthalmoscopy (AOSLO). Six WT and TgP23H littermates were imaged at postnatal day 30 (P30), P90, and P180 with AOSLO and optical coherence tomography (OCT), and two additional sets of littermates were imaged at P3 and P15 with OCT only. AOSLO imaging and correlative differential interference contrast microscopy were performed on a P240 WT pig and on WT and TgP23H littermates at P30 and P180.
resultsAOSLO cone density generally underestimates histology density (mean difference ± SD = 24.8% ± 21.4%). The intensity of the outer retinal hyperreflective OCT band attributed to photoreceptors is attenuated in TgP23H pigs at all ages. In contrast, AOSLO images show cones that retain inner and outer segments through P180. At retinal locations outside the visual streak, TgP23H pigs show a heterogeneous degenerating cone mosaic by using two criteria: variable contrast on a split detector AOSLO and high reflectivity on a confocal AOSLO.
conclusionsAOSLO reveals that the cone mosaic is similar to ex vivo histology. Its use as a noninvasive tool will enable observation of morphologic changes that arise in the cone mosaic of TgP23H pigs over time. TRANSLATIONAL RELEVANCE: Pigs are widely used for translational studies, and the ability to noninvasively assess cellular changes in the cone mosaic will facilitate more detailed investigations of new retinal disease models as well as outcomes of potential therapies.
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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.