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Intracameral injection of cross‐linking hydrogel polymer as an animal model of <scp>IOP</scp> increase

2022· article· en· W4312080663 on OpenAlexaff
Johnny Di Pierdomenico, Delaney Cm Henderson, Christian A. Smith, M. L. Hooper, Balwantray C. Chauhan

Bibliographic record

VenueActa Ophthalmologica · 2022
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGlaucomaMedicineIntraocular pressureOptic nerveRetinal ganglion cellNeuroprotectionOphthalmologyRetinalGanglionEx vivoIn vivoNeuroscienceBiologyPharmacologyAnatomy

Abstract

fetched live from OpenAlex

Abstract Glaucoma is a multifactorial neurodegenerative disease that leads to the progressive loss of retinal ganglion cells (RGCs) and their axons resulting in visual field damage and retinal and optic nerve head changes. Progression is generally slow but, in some patients, can lead to a ‘catastrophic’ reduction of visual function and in advanced cases may lead to blindness. Glaucoma is, in fact, the leading cause of irreversible blindness worldwide. Finding a model of retinal ganglion cell (RGC) loss or experimental glaucoma which accurately mimics human disease has been a challenge for researchers. There have been many attempts to produce a model of studying RGC pathophysiology or death longitudinally to study pharmacological treatments or neuroprotective interventions. There are many methods, both acute and chronic, that have been used to induce retinal ganglion cell death. Some methods made a direct injury to the optic nerve which causes rapid RGC death, while others are models try to increase the IOP with mechanical damage or injection of different agents into the anterior chamber to block aqueous humour outflow. Several models of chronic glaucoma, primarily in non‐human primates and rodents, in which IOP is elevated has been described. However, most of these animal models due to the opacification of the ocular medias as a result of the inflammation or intraocular pression increase only allow to perform a single time point for many different time ex vivo analysis of the RGCs. So, longitudinal changes in the number of RGCs in the same animal can only be performed in vivo. This is an important way to remove the between‐subject variability, but any aging effects will be compounded to those due to disease progression. A novel glaucoma model using a cross‐linking polymer result in a consistent and sustained elevation of IOP with preservation of optical media clarity for long term. This model is based on in situ temperature sensitive cross‐linking of a mixture of two components (hyaluronic acid functionalized with vinyl sulfone (HA‐VS) and thiol groups (HA‐SH)). When the mixture is injected into the anterior chamber, the higher temperature of aqueous humour compared to air causes the gel to solidify within the anterior chamber angle thereby blocking aqueous outflow through the trabecular meshwork and increasing the IOP. Furthermore, the hydrogel is localized to the anterior chamber angle with no noticeable media opacities, thereby allowing repeated in vivo imaging. It has been shown that the increased IOP and the optical media clarity produced in this animal model of glaucoma allows for in vivo study with the Confocal Scanning Laser Ophthalmoscope of the density and structural loss of RGCs, as well as functional loss of RGCs with electroretinography for more than 4 weeks after the hydrogel injection.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.296
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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