Descemet Stripping Only Technique for Corneal Endothelial Damage in Mice.


Journal

Cornea
ISSN: 1536-4798
Titre abrégé: Cornea
Pays: United States
ID NLM: 8216186

Informations de publication

Date de publication:
01 Apr 2023
Historique:
received: 09 08 2022
accepted: 14 11 2022
pmc-release: 01 04 2024
pubmed: 3 2 2023
medline: 4 3 2023
entrez: 2 2 2023
Statut: ppublish

Résumé

Descemet stripping only is an emerging surgical technique used to remove central Descemet membrane and corneal endothelial cells in patients with corneal endothelial disease. Here, we describe a murine model of this procedure to help facilitate basic science investigation and evaluation of postoperative outcomes using this surgical technique. Slitlamp biomicroscopy, central corneal thickness assessment (by optical coherence tomography), and immunohistochemistry were used to assess the model through 7 weeks of follow-up. Complete removal of the endothelium and Descemet membrane was confirmed by slitlamp biomicroscopy and by histology. Central corneal thickness peaked at day 1 postinjury and then declined over the course of 2 weeks to a stable level of persistent edema. Seven weeks postinjury, immunohistochemical staining for ZO-1 showed the area of Descemet stripping was fully covered by enlarged and dysmorphic corneal endothelial cell. No significant ocular complications were appreciated through the end of the follow-up. We demonstrate the feasibility of and provide detailed instructions for a murine model of Descemet stripping only. This model provides a potential in vivo platform to investigate the mechanisms and biology of this emerging surgical procedure.

Identifiants

pubmed: 36728991
doi: 10.1097/ICO.0000000000003223
pii: 00003226-990000000-00209
pmc: PMC10117527
mid: NIHMS1852219
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

470-475

Subventions

Organisme : NEI NIH HHS
ID : K08 EY031759
Pays : United States

Informations de copyright

Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors have no funding or conflicts of interest to disclose.

Références

Cornea. 2018 Feb;37(2):137-140
pubmed: 29053562
J Biol Methods. 2015;2(3):
pubmed: 26550579
Invest Ophthalmol Vis Sci. 2016 Dec 1;57(15):6731-6738
pubmed: 27951595
Cornea. 2021 Jan;40(1):116-120
pubmed: 33269892
Invest Ophthalmol Vis Sci. 2016 Mar;57(3):1284-92
pubmed: 26998714
Invest Ophthalmol Vis Sci. 2014 Apr 11;55(4):2337-43
pubmed: 24651553
Mamm Genome. 2006 Aug;17(8):851-7
pubmed: 16897341
Invest Ophthalmol Vis Sci. 1986 Aug;27(8):1199-204
pubmed: 3733367
J Biol Methods. 2021 Oct 22;8(4):e156
pubmed: 35028328
Cornea. 2019 May;38(5):529-534
pubmed: 30720541
Cornea. 2023 Feb 1;42(2):224-231
pubmed: 36582035
Prog Retin Eye Res. 2021 Jan;80:100863
pubmed: 32438095
Am J Pathol. 2022 Feb;192(2):270-280
pubmed: 34774519
Sci Rep. 2017 Aug 1;7(1):6983
pubmed: 28765543
Invest Ophthalmol Vis Sci. 1988 Sep;29(9):1407-12
pubmed: 3417425
Cornea. 2021 Jul 1;40(7):899-902
pubmed: 33758139
Cornea. 2016 Oct;35(10):1267-73
pubmed: 27310885
Invest Ophthalmol Vis Sci. 2004 Sep;45(9):2992-7
pubmed: 15326112
Graefes Arch Clin Exp Ophthalmol. 1997 May;235(5):325-9
pubmed: 9176682
J Ophthalmol. 2021 Jul 9;2021:6644114
pubmed: 34306743
Curr Opin Ophthalmol. 2019 Jul;30(4):275-285
pubmed: 31033737
Cornea. 2018 Dec;37(12):1479-1483
pubmed: 30222714
Ann Transl Med. 2021 Aug;9(15):1271
pubmed: 34532408

Auteurs

Hayate Nakagawa (H)

Laboratory of Corneal Immunology, Transplantation and Regeneration, Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH