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SUMMARY:Bioinformatic analysis of T-cell antigen receptors as a novel diag
 nostic test for coeliac disease/ gluten sensitivity  - Dr Elizabeth Soille
 ux\, University Senior Lecturer/ Honorary Consultant in Pathology
DTSTART:20230118T140000Z
DTEND:20230118T150000Z
UID:TALK192032@talks.cam.ac.uk
CONTACT:Samantha Noel
DESCRIPTION:Coeliac disease presents with very variable symptoms\, which o
 ccur when gluten is eaten. It affects at least 1% of the UK population and
  more than 2/3 affected individuals remain undiagnosed\, often because cur
 rent tests give uncertain or false negative results or are unacceptable to
  patients\, due to the requirement prior to testing to eat gluten\, which 
 makes them ill. Coeliac disease is caused by T-cell mediated injury to the
  epithelial lining of the intestine\, with many of the T-cells responding 
 to gluten. Holistic analysis of the T-cell receptor nucleic acid/ amino ac
 id sequences in patient samples allows us to compare the T-cell population
 s\, to determine whether they are responding to similar or different immun
 ological targets. Provided there is a sufficiently sized training set for 
 this artificial intelligence based\, bioinformatic approach\, patient samp
 les can be separated by diagnosis\, regardless of whether the patient has 
 eaten gluten prior to the test. This approach can also be used in the diag
 nosis of inflammatory bowel disease and a range of other immune-mediated c
 onditions\, as well as to determine immune status to antigens post-vaccina
 tion. We are currently testing its applicability to the determination of a
 n individual’s COVID -19 immune status. Analysis of T-cell receptors is 
 a powerful and widely used tool. The bioinformatic approaches used will be
  discussed.
LOCATION:CMS\, Meeting Room 15
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