Genetic risk tool could aid early diagnosis and treatment of multiple sclerosis patients

NewsGuard 100/100 Score

Young people could be spared from going blind by a new genetic risk tool that could also help diagnose multiple sclerosis (MS) earlier, to start effective treatments.

Optic neuritis is a condition that affects people of all ages, but especially young adults, usually manifesting in blurred vision and sometimes pain when moving the eyes. Up to half of people affected in the UK eventually go on to develop MS – often many years later. Emerging evidence indicates that starting the very effective MS treatments earlier may improve long term health.

Optic neuritis occurs because of swelling in or around the optic nerve. For those with MS-related optic neuritis, the swelling subsides on its own, and vision usually recovers. For many people whose optic neuritis does not result from MS, the optic nerve can be permanently damaged unless high doses of steroids are given quickly, resulting in loss of sight. However, steroids can result in harmful side effects. When people first develop optic neuritis, it can be difficult for patients and their doctors to decide whether the possible benefits of steroid outweigh the possible harms, when the likely cause of the optic neuritis is unclear.

Identifying whether there is an underlying cause of optic neuritis can be challenging for clinicians, with many important test results taking weeks to return. Now, new research, published in Nature Communications and led by the University of Exeter and King's College London, has shown for the first time that combining genetic risk for MS with demographic factors significantly improves MS risk prediction in people presenting with optic neuritis.

Co-author Dr Tasanee Braithwaite, consultant ophthalmologist to the Medical Eye Unit at Guy's and St Thomas NHS Foundation Trust, and Adjunct Senior Lecturer at King's College London said: "As a doctor caring for many patients with optic neuritis, I'm excited by the possibility of translating this pilot research into front line clinical care in the near future. Whilst more research is needed, our study provides a strong signal that we could better identify patients at high risk of MS, perhaps enabling these people to have earlier MS treatment in the future. Whereas, if we could better identify people whose optic neuritis is very unlikely to result from MS, we could treat these people urgently to reduce irreversible vision loss and blindness."

The team analysed more than 300 common genetic variants linked to developing MS, combining them into a genetic risk score that helps clinicians understand an individual's chance of developing MS. They analysed data from 500,000 people in the UK Biobank, who have shared genetic samples, questionnaires and linked health information from their electronic medical records.

The researchers found 2,369 people who had MS in the UK Biobank, and 687 people with optic neuritis. Of those, 545 had no identifiable cause for their optic neuritis at the start of the study, and 124 went on to develop MS.

Applying the genetic risk score effectively helped separate those at lowest risk from those at high risk. Whilst the MS genetic risk score is not a diagnostic test, this study highlights that it could add one valuable additional piece of information to support doctors and patients to make better decisions.

Since the first genome was sequenced three decades ago, we've been working towards the promise of being able to use genetics to improve outcomes for individual patients. This research is an excellent example of precision genetic diagnosis in practice."

Richard Oram, Co-Author, Professor of the University of Exeter Medical School

Dr Clare Walton, Head of Research at MS Society, said: "Currently, 130,000 people live with MS in the UK and one in five will have experienced optic neuritis at the start of their MS journey. This research shows how using genetic scores could be a useful way to predict who will likely continue to an MS diagnosis. 

"Using immunotherapies in people at high risk of MS could significantly delay the onset of the condition, but these drugs come with side effects. This exciting study opens up the possibility of finding people in which the benefits will outweigh the risks." 

The research stemmed from a summer project led by University of Exeter Medicine student Pavel Loginovic. With funding from the University of Exeter, it expanded into a research collaboration involving academics in Finland and the US. The research was further funded through Fight for Sight and the Royal College of Ophthalmologists, who awarded Dr Braithwaite a Zakarian Award to support this work.

Pavel said: "I'm elated to see this paper published, and it's gratifying that it could have a real impact in moving research forward, ultimately aiming to get people with MS diagnosed and perhaps treated earlier. Leading this analysis while staying on top of my medical studies has been a challenge and an immense opportunity for growth, professional and personal. I've enjoyed the academic journey so far, and I'm excited for what's to come."

The study is entitled, 'Applying a genetic risk score model to enhance prediction of future Multiple Sclerosis diagnosis at first presentation with optic neuritis', and is published in Nature Communications.

Source:
Journal reference:

Loginovic, P., et al. (2024). Applying a genetic risk score model to enhance prediction of future multiple sclerosis diagnosis at first presentation with optic neuritis. Nature Communications. doi.org/10.1038/s41467-024-44917-9.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Siblings with unique gene mutation offer insights into type 1 diabetes treatment