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Abstract 52: An Animal Model Of Corneal Neurotisation Using The Thy1-GFP+ Rat To Further Investigate How Reinnervation Influences Corneal Health

2017· article· en· W2608413009 on OpenAlexaff
Joseph Catapano, Jennifer J. Zhang, Kira Antonyshyn, Gregory H. Borschel

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2017
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReinnervationDenervationMedicineCorneaAnatomyOphthalmologyCorneal reflexCorneal epitheliumAnesthesiaReflex

Abstract

fetched live from OpenAlex

PURPOSE: Patients with corneal anaesthesia develop neurotrophic keratopathy, causing corneal scarring and vision loss. Corneal neurotisation restores sensation but it remains unknown whether donor nerves reinnervating the cornea contain neuromediators that are required for corneal epithelial maintenance and repair. Further investigation of the effect of neurotisation on corneal health requires an animal model in which tissue can be harvested for analysis. Here we describe a rat model of corneal neurotisation. METHODS:Thy1-GFP+ rats, which express green fluorescent protein in axons, were used to monitor corneal denervation and reinnervation. Parameters for the stereotactic electrocautery of the ophthalmic branch (V1) of cranial nerve V, which innervates the cornea, was determined using serial imaging of whole mount corneas at 1, 2 and 4 weeks to determine optimal parameters for corneal denervation. Blink reflexes were assessed to confirm corneal denervation. After establishing a method of corneal denervation, corneal neurotisation was accomplished using common peroneal (CP) and sural nerve grafts coapted to the contralateral infraorbital nerve. Four corneas were harvested 4 weeks after neurotisation and denervation to determine corneal nerve density and four corneas were retrograde labelled with 4% Fluorogold to determine whether reinnervating axons derived from the contralateral or ipsilateral trigeminal ganglion (TG). Neurotised corneas were compared with uninjured (normal) and denervated (injured) controls. CP and sural grafts were harvested for histomorphometry. RESULTS: Optimal corneal denervation was achieved by ablating V1 at the stereotactic coordinates (+ 1.5 mm, + 2.0 mm, 10 mm) with 3 W for 60s. Stereotactic electrocautery of V1 was well tolerated, however injury to the TG resulted in unacceptable morbidity. Corneal neurotisation using CP and sural nerve grafts was successful resulting in a significant increase in corneal axon density. Denervated corneas demonstrated minimal reinnervation after 4 weeks (2301 μm/mm2 ± 1347) and reinnervation was restricted to the peripheral stroma. Neurotised corneas exhibited significantly greater corneal nerve density (62872 μm/mm2 ± 12400; p < 0.0001), which extended to the central cornea and subbasal layer and was comparable to uninjured (normal) controls (46165 μm/mm2 ± 3965). Histomorphometry demonstrated significant growth of myelinated axons across the grafts. Retrograde-labelling of uninjured cornea controls labeled 478 ± 16 neurons in the ipsilateral TG innervating the cornea with no labeled neurons in the contralateral TG. In contrast, labelling of neurotised corneas demonstrated no labeled neurons in the ipsilateral TG (0 ± 0) with a significant number of labelled sensory neurons in the contralateral TG (353 ± 215), suggesting axons reinnervating the cornea after neurotisation derived from the donor grafts and contralateral face. CONCLUSION: The described animal model of corneal neurotisation is valuable to further investigate how reinnervation of the cornea using foreign donor nerves influences corneal epithelial health, including epithelial healing and protein expression.

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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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.106
GPT teacher head0.334
Teacher spread0.228 · 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
Published2017
Admission routes1
Has abstractyes

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