Neuronal-epithelial cell alignment: A determinant of health and disease status of the cornea.

Intraepithelial corneal basal nerves Limbal epithelial stem cells Limbal stem cell deficiency Noise-based segmentation Wound-healing

Journal

The ocular surface
ISSN: 1937-5913
Titre abrégé: Ocul Surf
Pays: United States
ID NLM: 101156063

Informations de publication

Date de publication:
07 2021
Historique:
received: 16 10 2020
revised: 22 02 2021
accepted: 16 03 2021
pubmed: 27 3 2021
medline: 29 9 2021
entrez: 26 3 2021
Statut: ppublish

Résumé

How sensory neurons and epithelial cells interact with one another, and whether this association can be considered an indicator of health or disease is yet to be elucidated. Herein, we used the cornea, Confetti mice, a novel image segmentation algorithm for intraepithelial corneal nerves which was compared to and validated against several other analytical platforms, and three mouse models to delineate this paradigm. For aging, eyes were collected from 2 to 52 week-old normal C57BL/6 mice (n ≥ 4/time-point). For wound-healing and limbal stem cell deficiency, 7 week-old mice received a limbal-sparing or limbal-to-limbal epithelial debridement to their right cornea, respectively. Eyes were collected 2-16 weeks post-injury (n=4/group/time-point), corneas procured, immunolabelled with βIII-tubulin, flat-mounted, imaged by scanning confocal microscopy and analyzed for nerve and epithelial-specific parameters. Our data indicate that nerve features are dynamic during aging and their curvilinear arrangement align with corneal epithelial migratory tracks. Moderate corneal injury prompted axonal regeneration and recovery of nerve fiber features. Limbal stem cell deficient corneas displayed abnormal nerve morphology, and fibers no longer aligned with corneal epithelial migratory tracks. Mechanistically, we discovered that nerve pattern restoration relies on the number and distribution of stromal-epithelial nerve penetration sites. Microstructural changes to innervation may explain corneal complications related to aging and/or disease and facilitate development of new assays for diagnosis and/or classification of ocular and systemic diseases.

Identifiants

pubmed: 33766739
pii: S1542-0124(21)00017-3
doi: 10.1016/j.jtos.2021.03.007
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

257-270

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Auteurs

Hugh Tuck (H)

School of Medical Sciences, Mechanisms of Disease and Translational Research, University of New South Wales, Sydney, New South Wales, 2052, Australia.

Mijeong Park (M)

School of Medical Sciences, Mechanisms of Disease and Translational Research, University of New South Wales, Sydney, New South Wales, 2052, Australia.

Michael Carnell (M)

Biomedical Imaging Facility, Mark Wainwright Analytical Centre, University of New South Wales, Sydney, New South Wales, 2052, Australia.

Joshua Machet (J)

School of Medical Sciences, Mechanisms of Disease and Translational Research, University of New South Wales, Sydney, New South Wales, 2052, Australia.

Alexander Richardson (A)

School of Medical Sciences, Mechanisms of Disease and Translational Research, University of New South Wales, Sydney, New South Wales, 2052, Australia.

Marijan Jukic (M)

Melbourne School of Population and Global Health, Centre for Health Policy, University of Melbourne, Melbourne, Victoria, 3053, Australia.

Nick Di Girolamo (N)

School of Medical Sciences, Mechanisms of Disease and Translational Research, University of New South Wales, Sydney, New South Wales, 2052, Australia. Electronic address: n.digirolamo@unsw.edu.au.

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