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153. Exploring NGF Mechanisms in Innervation-dependent Corneal Healing: Novel Therapies for Neurotrophic Keratopathy

2025· article· en· W4410012003 on OpenAlexaff
Arif Hussain, Kaveh Mirmoeini, Chilando Mulenga, Jordan R. Crabtree, Kiana Tajdaran, Ruby Shalom‐Feuerstein, Gregory H. Borschel, Konstantin Feinberg

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2025
Typearticle
Languageen
FieldMedicine
TopicMedical and Biological Ozone Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsNeurotrophinNeuroscienceOphthalmologyMedicineNeurotrophic factorsPsychologyInternal medicineReceptor

Abstract

fetched live from OpenAlex

PURPOSE: Understanding NGF-driven corneal healing and its therapeutic potential in Neurotrophic Keratopathy.Corneal clarity is vital for vision, maintained by limbal stem cells (LSCs) at the corneal-conjunctival interface. These cells interact with corneal sensory nerves which release trophic factors, including nerve growth factor (NGF), essential for epithelial renewal. Pathological denervation leads to neurotrophic keratopathy (NK), a major cause of corneal blindness without a definitive cure. NGF, the only FDA-approved treatment for NK, is expensive, requires frequent dosing, and is ineffective in 30% of cases. Prior studies show NGF stimulates LSC proliferation but haven’t linked NGF signaling with corneal sensory innervation-mediated epithelial renewal. We hypothesize that NGF, locally expressed in its mature and premature (proNGF) forms, regulates LSC activity-dependent homeostatic and wound-induced corneal epithelial renewal via differential activation of its receptors TrkA and p75NTR, a process dependent on corneal sensory innervation. METHODS: A) We conducted in vivo experiments in wild-type and mutant mice and rats to elucidate the NGF signaling mechanism in corneal innervation-dependent epithelial renewal. We examined the effect of combinations of TrkA and p75NTR agonists and antagonists on the healing of experimentally wounded corneas, both intact and surgically denervated.B) To understand the role and mechanism of NGF signaling in LSC activity and its relevance to humans, we assessed the clonogenicity of cultured human LSCs (hLSCs) by pharmacologically modulating NGF receptors. RESULTS: A) Activation of TrkA induces rapid healing in denervated corneas. Activation of p75NTR prevents complete recovery in denervated corneas. While inactivation of TrkA prevents healing of normally innervated cornea, inactivation of p75NTR combined with a single daily dose of NGF induces complete and rapid healing of denervated de-epithelialized corneas. B) NGF or specific p75NTR inhibitor THX-B supported colonies’ formation by hLSCs that were further augmented by a combination of the two compounds. CONCLUSION: Corneal sensory nerve-associated expression of NGF in its both forms (NGF and proNGF) regulates the proliferation and differentiation of LSCs by differentially stimulating the activity of the NGF receptors. Combined pharmacological activation and inhibition of TrkA and p75NTR, respectively, will be applied in developing a superior NGF-based treatment of NK.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.135
GPT teacher head0.341
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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