Publications by authors named "J Halfvarson"
Background & Aims: Interventional clinical trials in acute severe ulcerative colitis (ASUC) are characterized by substantial heterogeneity due to a lack of consensus in several key areas of trial design-this impedes clinical research efforts to identify novel therapies. The objective of this initiative was to achieve the first consensus and provide clear position statements on ASUC trial design.
Methods: A modified Delphi consensus approach was employed with a panel of 20 clinicians with international representation and expertise in ASUC trial design and delivery.
Article Synopsis
- The study aimed to find protein signatures in blood that could help identify individuals at high risk for inflammatory bowel disease (IBD), specifically Crohn's disease (CD) and ulcerative colitis.
- Researchers analyzed blood samples from a large population, utilizing machine-learning methods to identify and validate these protein signatures across multiple cohorts.
- A specific combination of 29 proteins was effective in differentiating preclinical CD cases from controls, achieving a high accuracy, while the prediction for ulcerative colitis was less robust but still significant.
Article Synopsis
- * Using data from over 450,000 individuals in the UK Biobank, the researchers found that higher exposure to specific air pollutants, like NO and PM, was significantly associated with the development of UC, but not CD.
- * The research suggests that air pollution may cause UC through epigenetic changes, particularly in genes such as CXCR2 and areas related to the immune system, with lifestyle and genetic factors playing a role in this relationship.
Background: Recent genetic and transcriptomic data highlight the need for improved molecular characterisation of inflammatory bowel disease (IBD). Proteomics may advance the delineation of IBD phenotypes since it accounts for post-transcriptional modifications.
Aim: We aimed to assess the IBD spectrum based on inflammatory serum proteins and identify discriminative patterns of underlying biological subtypes across multiple European cohorts.