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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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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.
Drugs such as carbonic anhydrase inhibitors, α2- and...
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Related Experiment Video

Updated: Jun 27, 2025

Trabecular Meshwork Response to Pressure Elevation in the Living Human Eye
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Deep Learning-Based Identification of Intraocular Pressure-Associated Genes Influencing Trabecular Meshwork Cell

Connor J Greatbatch1, Qinyi Lu1, Sandy Hung2

  • 1Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.

Ophthalmology Science
|April 29, 2024
PubMed
Summary

Artificial intelligence (AI) and microscopy identified gene knockouts, like LTBP2 and BCAS3, that significantly alter trabecular meshwork cell morphology, aiding in understanding intraocular pressure (IOP) regulation.

Keywords:
CRISPRGeneticsGlaucomaMorphological profilingTranscriptomics

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Area of Science:

  • Genomics
  • Cell Biology
  • Ophthalmology

Background:

  • Genome-wide association studies (GWAS) have identified numerous genetic loci linked to variations in intraocular pressure (IOP).
  • Understanding the functional impact of these genetic variations on ocular tissues is crucial for deciphering IOP regulation.

Purpose of the Study:

  • To develop and apply an artificial intelligence (AI)-driven high-throughput microscopy method for interrogating the functional effects of genetic variations associated with IOP.
  • To identify specific genes whose perturbation leads to significant morphological changes in trabecular meshwork cells (TMCs).

Main Methods:

  • Knockout of 62 genes at 55 loci associated with IOP variation in primary human TMCs.
  • High-throughput microscopy imaging of stained TMCs.
  • Training a convolutional neural network (CNN) to differentiate between gene knockout and control TMC morphology using Area Under the Receiver Operator Curve (AUC).

Main Results:

  • The AI model successfully quantified morphological variations, with LTBP2 and BCAS3 knockouts showing the greatest deviation from normal TMC morphology (AUC > 0.84).
  • Five out of seven multigene loci exhibited statistically significant differences in AUC between genes, enabling pathological gene prioritization.
  • Mitochondrial morphology was the most frequently altered cellular feature (33.9% of cell lines).

Conclusions:

  • A robust AI-powered microscopy approach can functionally interrogate GWAS findings for complex traits like IOP.
  • This method allows for the identification of genes causing significant morphological changes, facilitating gene-based dissection of associated loci.
  • The findings provide a pathway for understanding the genetic underpinnings of IOP variation and related pathologies.