This research was completed on
Around one quarter of people with inflammatory bowel disease (IBD) are under 16 years old when diagnosed.1 At first, it’s not possible to be sure how their disease will progress – whether they will go on to have only mild symptoms and need minimal treatment, or whether they will have more severe problems and need to take potent medicines or have surgery. This makes it hard to decide what sort of treatment to start with. Dr Matthias Zilbauer, of the University of Cambridge, is developing a way to predict how severe a child’s illness will be, so they can get more personalised treatment from the beginning.
How are children’s lives affected now?
Over 250,000 people in the UK have an inflammatory bowel disease (IBD), such as Crohn’s disease and ulcerative colitis.2-4 These conditions cause debilitating symptoms, including diarrhoea, abdominal pain and tiredness. People with severe symptoms can need major surgery to remove damaged parts of the bowel.
“More and more children are being diagnosed with IBD, which can affect their overall wellbeing and learning” says Dr Zilbauer.4-6 “There’s no cure, but evidence suggests that early use of the most potent medicines may improve the long-term outlook for children who are at highest risk of having very severe symptoms. These medicines can have side effects though, so they’re best avoided if children’s symptoms are likely to be mild.”
Unfortunately, it’s not possible to predict early on how severe a child’s illness is likely to be. This limits doctors’ ability to suggest treatment strategies that are tailored to the needs of each individual child at the time of diagnosis.
How could this research help?
The researchers aim to find a way to predict how a child’s condition is likely to progress if they are diagnosed with IBD – whether the child’s symptoms are likely to be mild and require minimal treatment, or more severe, needing more intensive treatment.
Studies in adults suggest it might be possible to identify people who are at highest risk of having severe symptoms by analysing certain blood cells. Dr Zilbauer has been investigating whether this approach might also work for children and early results are promising. In this project, the team is finding out more about the potential benefits of the new test in children and simplifying the techniques used, so they are suitable for routine use.
“If our new blood test does allow doctors to predict disease severity in IBD, then they could recommend more personalised treatments from the time of diagnosis,” says Dr Zilbauer. “This may improve children’s long-term health and their quality of life.”
1. Crohn’s and Colitis UK. Children and young people with IBD: A guide for schools. http://s3-eu-west-1.amazonaws.com/files.crohnsandcolitis.org.uk/Publications/children-schools-IBD-guide.pdf Website accessed 10 December 2016.
2. National Institute for Health and Clinical Excellence (NICE). Crohn’s disease: management. Last updated May 2016. https://www.nice.org.uk/guidance/cg152/chapter/Context Website accessed 10 December 2016.
3. National Institute for Health and Clinical Excellence (NICE). Ulcerative colitis: management. Published date: June 2013. https://www.nice.org.uk/guidance/cg166/chapter/Introduction Website accessed 10 December 2016.
4. IBD Standards Group. IBD Standards. 2013 Update. Website accessed 10 December 2016.
5. Hope B et al. Rapid rise in incidence of Irish paediatric inflammatory bowel disease. Arch Dis Child 2012; 97: 590-4.
6. Henderson P et al. Rising incidence of pediatric inflammatory bowel disease in Scotland. Inflamm Bowel Dis 2012; 18: 999-1005.
|Project Leader||Dr Mathias Zilbauer MD PhD MRCPCH|
|Project Team||Dr Robert B Heuschkel MBBS MRCP MRCPCHDr Oliver Stegle PhDDr Paul A Lyons PhD|
|Project Location||University Department of Paediatrics, University of Cambridge|
|Project Location Other||Department of Paediatric Gastroenterology, Addenbroke's Hospital, CambridgeEMBL-European Bioinformatics Institute, CambridgeDepartment of Medicine, Cambridge Institute for Medical Research|
|Project duration||2 years|
|Date awarded||22 November 2016|
|Project start date||13 November 2017|
|Project end date||12 November 2019|