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Related Concept Videos

Glaucoma: Overview01:25

Glaucoma: Overview

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Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
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Diabetic Retinopathy01:27

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DefinitionDiabetic retinopathy is a microvascular complication of diabetes affecting the retinal blood vessels.Risk FactorsDiabetic retinopathy is present in almost all individuals with type 1 diabetes and more than 60% of those with type 2 diabetes after two decades of disease.The risk increases with poor glycemic control, hypertension, dyslipidemia, smoking, pregnancy, and puberty.Although cataracts and glaucoma are also more frequent in people with diabetes, retinopathy remains the leading...
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Open Angle Glaucoma: Treatment01:27

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In open-angle glaucoma, the iridocorneal angle remains open, but the trabecular meshwork becomes stiff, slowing down the outflow of aqueous humor. This causes a buildup of aqueous humor in the anterior chamber, leading to a sudden increase in intraocular pressure. The treatment for open-angle glaucoma focuses on reducing the elevated intraocular pressure by either decreasing the secretion of aqueous humor or increasing its outflow.
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Related Experiment Video

Updated: Apr 24, 2026

Author Spotlight: Efficient Retinal Ganglion Cell Counting in Mouse Models of Glaucoma for Treatment Evaluation
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Retinomics as a Tool for Glaucoma Prediction.

Mayinuer Yusufu1,2, Selena Wei Zhang3,4, Robert N Weinreb5

  • 1Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.

Ophthalmology Science
|April 23, 2026
PubMed
Summary
This summary is machine-generated.

Retinomic changes, including vascular and neural alterations, predict glaucoma onset. This imaging-based approach identifies high-risk individuals for early intervention, potentially preventing vision loss.

Keywords:
GlaucomaPredictionRetinal biomarkerRisk stratification

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Area of Science:

  • Ophthalmology and Vision Science
  • Biomedical Imaging
  • Public Health

Background:

  • Glaucoma is a leading cause of irreversible blindness worldwide.
  • Early detection and intervention are crucial for managing glaucoma and preventing vision loss.
  • Identifying individuals at high risk of developing glaucoma is essential for targeted prevention strategies.

Purpose of the Study:

  • To investigate retinomic changes that precede glaucoma onset.
  • To explore the predictive value of these retinomic changes for incident glaucoma.
  • To develop a risk stratification model for long-term glaucoma prediction.

Main Methods:

  • A prospective cohort study involving 40,949 adults from the UK Biobank.
  • Utilized retinomics, a composite of 135 retinal vascular and 21 retinal layer measurements from color fundus photography (CFP) and OCT.
  • Employed least absolute shrinkage and selection operator (LASSO) for feature selection and Cox regression/gradient boosting machine for association and prediction modeling.

Main Results:

  • Over 12.49 years, 653 participants developed glaucoma.
  • 18 significant retinal parameters were associated with incident glaucoma, including vascular network simplification and inner nuclear layer thickening.
  • A model using age, sex, and retinomic features achieved a concordance index of 0.767 for 12.49-year prediction, with the highest risk group showing an 8.72-fold increased hazard.

Conclusions:

  • Retinal vascular and neural alterations are associated with an increased risk of developing glaucoma.
  • Retinomics serves as an effective biomarker for identifying individuals at high risk of glaucoma.
  • The developed model offers a simple yet effective tool for risk stratification and identifying candidates for early therapeutic intervention.