Estrogen dysregulation, intraocular pressure, and glaucoma risk.

Aqueous humor outflow Estrogen signaling Glaucoma Intraocular pressure Schlemm's canal Steroid hormones Trabecular meshwork

Journal

Experimental eye research
ISSN: 1096-0007
Titre abrégé: Exp Eye Res
Pays: England
ID NLM: 0370707

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 01 09 2023
revised: 20 10 2023
accepted: 08 11 2023
medline: 27 11 2023
pubmed: 17 11 2023
entrez: 13 11 2023
Statut: ppublish

Résumé

Characterized by optic nerve atrophy due to retinal ganglion cell (RGC) death, glaucoma is the leading cause of irreversible blindness worldwide. Of the major risk factors for glaucoma (age, ocular hypertension, and genetics), only elevated intraocular pressure (IOP) is modifiable, which is largely regulated by aqueous humor outflow through the trabecular meshwork. Glucocorticoids such as dexamethasone have long been known to elevate IOP and lead to glaucoma. However, several recent studies have reported that steroid hormone estrogen levels inversely correlate with glaucoma risk, and that variants in estrogen signaling genes have been associated with glaucoma. As a result, estrogen dysregulation may contribute to glaucoma pathogenesis, and estrogen signaling may protect against glaucoma. The mechanism for estrogen-related protection against glaucoma is not completely understood but likely involves both regulation of IOP homeostasis and neuroprotection of RGCs. Based upon its known activities, estrogen signaling may promote IOP homeostasis by affecting extracellular matrix turnover, focal adhesion assembly, actin stress fiber formation, mechanosensation, and nitric oxide production. In addition, estrogen receptors in the RGCs may mediate neuroprotective functions. As a result, the estrogen signaling pathway may offer a therapeutic target for both IOP control and neuroprotection. This review examines the evidence for a relationship between estrogen and IOP and explores the possible mechanisms by which estrogen maintains IOP homeostasis.

Identifiants

pubmed: 37956940
pii: S0014-4835(23)00346-9
doi: 10.1016/j.exer.2023.109725
pii:
doi:

Substances chimiques

Estrogens 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

109725

Subventions

Organisme : NEI NIH HHS
ID : R01 EY028608
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY023287
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY032960
Pays : United States
Organisme : NEI NIH HHS
ID : P30 EY031631
Pays : United States
Organisme : NEI NIH HHS
ID : F31 EY031973
Pays : United States
Organisme : NEI NIH HHS
ID : R21 EY033961
Pays : United States
Organisme : NEI NIH HHS
ID : R21 EY028671
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare no conflict of interest. The funders had no role in the design of the study or in the writing of the manuscript. As non-competing financial interests outside of this work, L.R.P. is a consultant to Twenty, Eyenovia, and Skye Biosciences.

Auteurs

Hannah Youngblood (H)

Department of Cellular Biology and Anatomy, Augusta University, Augusta, GA, USA.

Patricia V Schoenlein (PV)

Department of Cellular Biology and Anatomy, Augusta University, Augusta, GA, USA; Department of Radiology and Georgia Cancer Center, Augusta University, Augusta, GA, USA; Department of Surgery, Augusta University, Augusta, GA, USA.

Louis R Pasquale (LR)

Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

W Daniel Stamer (WD)

Department of Ophthalmology and Biomedical Engineering, Duke University, Durham, NC, USA.

Yutao Liu (Y)

Department of Cellular Biology and Anatomy, Augusta University, Augusta, GA, USA; James and Jean Culver Vision Discovery Institute, Medical College of Georgia, Augusta University, Augusta, GA, USA; Center for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, USA. Electronic address: yutliu@augusta.edu.

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Classifications MeSH