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Finding early AMD changes using eye scans

Dr Ruth Hogg, Queen's University Belfast - £249,941

This project uses long-term follow-up of retinal scans from the Northern Ireland Cohort of the Longitudinal study of Ageing (NICOLA), to understand what changes in eye scans may be early signs of age-related macular degeneration (AMD).

Maintaining the health of the blood vessels in the macula

Professor Majlinda Lako, Newcastle University - £249,998

This project is aiming to understanding how the cells that make up the blood vessels in the macula may become damaged in early age-related macular degeneration (AMD). Following this, the goal is to find drug targets that can maintain blood vessel health to prevent or slow AMD progression.

Shining new light on the body clock and retinopathy

Dr Eleni Beli, UCL - £267,533 (co-funded with Diabetes UK)

Disruptions to our body clock can have a surprising impact on our health, including links with eye damage for people living with diabetes. Dr Eleni Beli wants to take a closer look at these links, to understand more about how eye damage can develop and progress. Her research could uncover an innovative new approach to help people with diabetes avoid sight loss.

A marvellous new approach to tackle retinopathy

Prof Karl Matter, UCL - £489,423 (co-funded with Diabetes UK)

High blood sugar levels can lead to damage to our eyes, known as retinopathy. Professor Karl Matter thinks that a protein called MarvelD3, that helps cells to stick together in blood vessels, might hold some answers. His research could provide valuable new insights to develop innovative approaches to protect blood vessels and prevent sight loss for people with diabetes.

How eye adaptation to darkness could lead to quicker AMD treatments

Dr Alison Binns, City, University of London- £233,862

Understanding why our eyes adapt differently to the dark may pave the way for quicker AMD treatments

Uncovering early changes in the eye during AMD

Dr Richard Unwin, The University of Manchester- £249,679

What’s the problem?

A person’s genes play a strong role in defining their lifetime risk of age-related macular degeneration (AMD). This project aims to identify and record differences in the structure of the eye, based on whether they have a high or low genetic risk of developing AMD. 

Developing artificial intelligence to predict AMD

Professor Andrew Lotery, University of Southampton- £249,659 (co-funded with Roche)

What’s the problem?

Age-related macular degeneration (AMD) progresses through several stages before causing sight loss. As we know, late AMD can be categorised into two forms: wet AMD and dry AMD (also called geographic atrophy). 

Developing an eye drop to treat dry age-related macular degeneration (AMD)

Dr Lisa Hill, University of Birmingham - £244,249 

This project aims to develop a novel therapy for dry aged-related macular degeneration (AMD), delivered via an eye drop, which could reduce inflammation and restore cell health. The eye drop will include the recipe to make an important protein, known to be reduced in those with AMD. 

Using Artificial Intelligence to predict AMD progression

Pearse Keane, UCL and Moorfields Eye Hospital - £126,462

September 2019 – April 2022

This project aims to use the power of computers and artificial intelligence (AI) to better understand age-related macular degeneration (AMD). Using eye scans from patients with wet AMD, the researchers want to better understand why and how AMD develops and what causes the progression of wet AMD.

Switching off the genes that cause Best disease

Dr Amanda-Jayne Carr, UCL Institute of Ophthalmology - £170,000

August 2018 – December 2021

Research summary

Best disease is caused by a faulty gene and leads to permanent sight loss. It’s a dominant genetic disease (meaning that you only need to have one copy of the mutated gene from your parents in order to have the condition). 
This research aimed to switch off the faulty gene and leave the healthy gene remaining to stop the progression of the disease, and the sight loss it causes.