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Olbjorn, C.

Publications and source records attributed to Olbjorn, C..

3 recordsLinked to original sources

Analyzing the T cell receptor repertoire of 2,804 individuals with inflammatory bowel disease identifies public T cell responses involved in the pathogenesis

Whereas altered immune processes have been identified in individuals with inflammatory bowel disease (IBD), potentially causative antigens remain to be identified. By interrogating the immune repertoire of individuals with IBD, an identification of common antigenic exposures associated with the disease can be obtained. We analyzed the T cell receptor beta (TRB) chain repertoire of 1,890 individuals with Crohns disease (CD) and 914 individuals with ulcerative colitis (UC), enabling the identification of 327 TRB clonotypes associated with CD and 130 with UC. We validated the expansion of these clonotypes in a cohort of treatment-naive individuals with either CD, UC or symptomatic control (n=855). These disease-associated clonotypes were restricted to disease-associated risk HLA alleles and their expansion correlated with disease-severity but not with surgery or treatment trajectory. In conclusion, we identified and validated TRB clonotypes that are associated with either CD or UC, these clonotypes are a novel therapeutic target in IBD.

immunology↗

Multi-centered T cell repertoire profiling identifies novel alterations in the immune repertoire of individuals with inflammatory bowel disease and validates previous findings

IntroductionIBD is an incurable immune-mediated inflammatory disease (IMID), affecting the gut with a high rate of primary- and secondary-loss-of-response to therapy. By investigating the T cell receptor repertoire of individuals with IBD, novel therapeutic and preventive strategies can be identified, and a better understanding of IBD can be obtained. MethodsWhereas most studies have so far focused on the more diverse T cell receptor beta (TRB) repertoire, we here profiled the alpha (TRA) repertoire of three cohorts containing treatment-naive and treated individuals in addition to individuals living with the disease for >20 years, resulting in an exhaustive dataset containing the TRA repertoire of 2,151 individuals. ResultsUsing the generated datasets, we were able to replicate previous findings describing the expansion of Crohns-associated invariant T (CAIT) cells in individuals with Crohns disease (CD) in the three cohorts. Using a hypothesis-free statistical testing framework, we identified clonotypes that were associated with the disease at its different stages, e.g., at the time of diagnosis and decades post-diagnosis. By conducting a meta-analysis across the three cohorts, we were able to identify a set of clonotypes that were associated with the disease regardless of its stage. We validated our findings in a previously published independent test dataset from a German cohort, showing the robustness of the identified sets of clonotypes. ConclusionThe identified clonotypes are potential novel therapeutic targets to treat IBD, e.g., through targeted depletion. These clonotypes are also of major interest as they can be investigated in a targeted fashion to identify culprit antigen(s) in IBD.

immunology↗

Serum proteomic profiling at diagnosis predicts clinical course, and need for intensification of treatment in inflammatory bowel disease.

BackgroundSuccess in personalised medicine in complex disease is critically dependent on biomarker discovery. We profiled serum proteins using a novel proximity extension assay (PEA) to identify diagnostic and prognostic biomarkers in inflammatory bowel disease (IBD). MethodsWe conducted a prospective case-control study in an inception cohort of 552 patients (328 IBD, 224 non-IBD), profiling proteins recruited across 6 centres. Treatment escalation was characterised by the need for biological agents or surgery after initial disease remission. Nested leave-one-out cross validation was used to examine the performance of diagnostic and prognostic proteins. ResultsA total of 66 serum proteins differentiated IBD from symptomatic non-IBD controls including Matrix Metalloproteinase-12 (Holm adjusted p=4.1x10-23) and Oncostatin-M (OSM, p=3.7x10-16). Nine of these proteins associate with cis- germline variation (59 independent SNPs). Fifteen proteins, all members of TNF independent pathways including interleukin-1 and OSM predicted escalation, over a median follow-up of 518 (IQR 224-756) days. Nested cross-validation of the entire data set allows characterisation of 5-protein-models (96% comprising five core proteins ITGAV, EpCAM, IL18, SLAMF7, and IL8) which define a high-risk subgroup in IBD (HR 3.90, 95% CI: 2.43-6.26), or allows distinct 2, and 3 protein models for UC and CD respectively. ConclusionWe have characterised a simple oligo-protein panel that has the potential to identify IBD from symptomatic controls and predicts the evolution of disease over time. The technology could be suitable as a point of care testing in defining risk. Further prospective work is required to characterise the utility of the approach.

immunology↗