Chandelier
Senior Member (Voting Rights)
£1.1m awarded to investigate links between ME/CFS and Long Covid
A new landmark study funded by The ME Association will help scientists to uncover shared pathways between ME/CFS and Long Covid.
£1.1m awarded to investigate links between ME/CFS and Long Covid
Scientists at Imperial College London, with the help of funding from The ME Association, are undertaking a project to create a fuller picture of the immune profile of the two conditions with the specific aim of learning about underlying mechanisms through analysis of shared pathways between the conditions.
The Rosetta Stone study will map the immunological profile of ME/CFS and long COVID using samples from group of volunteers who have these conditions, in a direct side by side comparison of cohorts.
The lead investigators at Imperial are Professors Danny Altmann and Rosemary Boyton. Professor Danny Altmann, from the Department of Immunology and Inflammation at Imperial, said: “There has been little research into the relationship between ME/CFS and Long COVID, which are both post-infectious, persistent conditions, with similar symptoms. We want to use the latest technology and samples provided by volunteers, to try and highlight the common immunological themes and pathways, hopefully informing the most promising therapeutic approaches.”
Building a map of the immune system:
The Rosetta Stone study will examine 250 people with ME/CFS and 250 people with Long COVID, alongside matched healthy control groups.
Drawing also on the cohorts and the scientific expertise developed in other studies such as the NIHR WILCO Long Covid study at Imperial and the DecodeME study at the University of Edinburgh, the researchers will use a range of techniques to build a clearer picture of the immunological profile of these conditions. They will examine stool, blood and saliva samples from volunteer participants, as well as using detailed information reported about their symptoms from a smartphone app, ELAROS.
The samples will be analysed across a battery of technologies to generate datasets allowing the scientists to apply machine learning methods and discover shared patterns between the two conditions.