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Lessons From The Glaucoma Foundation Think Tank 2023: A Patient-Centric Approach to Glaucoma.
Harris, Alon; Verticchio Vercellin, Alice; Weinreb, Robert N; Khawaja, Anthony; MacGregor, Stuart; Pasquale, Louis R.
Affiliation
  • Harris A; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY.
  • Verticchio Vercellin A; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY.
  • Weinreb RN; Viterbi Family Department of Ophthalmology, Hamilton Glaucoma Center, Shiley Eye Institute, UC San Diego, La Jolla, CA.
  • Khawaja A; NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • MacGregor S; Statistical Genetics Laboratory, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
  • Pasquale LR; Department of Ophthalmology, Icahn School of Medicine at Mount Sinai Hospital, New York, NY.
J Glaucoma ; 33(3): e1-e14, 2024 03 01.
Article in En | MEDLINE | ID: mdl-38129952
ABSTRACT
PRCIS The main takeaways also included that BIG DATA repositories and AI are important combinatory tools to foster novel strategies to prevent and stabilize glaucoma and, in the future, recover vision loss from the disease.

PURPOSE:

To summarize the main topics discussed during the 28th Annual Glaucoma Foundation Think Tank Meeting "A Patient-Centric Approach to Glaucoma" held in New York on June 9 and 10, 2023.

METHODS:

The highlights of the sessions on BIG DATA, genetics, modifiable lifestyle risk factors, female sex hormones, and neuroprotection in the field of primary open angle glaucoma (POAG) were summarized.

RESULTS:

The researchers discussed the importance of BIG DATA repositories available at national and international levels for POAG research, including the United Kingdom Biobank. Combining genotyped large cohorts worldwide, facilitated by artificial intelligence (AI) and machine-learning approaches, led to the milestone discovery of 312 genome-wide significant disease loci for POAG. While these loci could be combined into a polygenic risk score with clinical utility, Think Tank meeting participants also provided analytical epidemiological evidence that behavioral risk factors modify POAG polygenetic risk, citing specific examples related to caffeine and alcohol use. The impact of female sex hormones on POAG pathophysiology was discussed, as was neuroprotection and the potential use of AI to help mitigate specific challenges faced in clinical trials and speed approval of neuroprotective agents.

CONCLUSIONS:

The experts agreed on the importance of genetics in defining individual POAG risk and highlighted the additional crucial role of lifestyle, gender, blood pressure, and vascular risk factors. The main takeaways also included that BIG DATA repositories and AI are important combinatory tools to foster novel strategies to prevent and stabilize glaucoma and, in the future, recover vision loss from the disease.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glaucoma, Open-Angle / Intraocular Pressure Limits: Female / Humans Language: En Journal: J Glaucoma Journal subject: OFTALMOLOGIA Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Glaucoma, Open-Angle / Intraocular Pressure Limits: Female / Humans Language: En Journal: J Glaucoma Journal subject: OFTALMOLOGIA Year: 2024 Document type: Article Country of publication: