RT Journal Article
SR Electronic
T1 Serological markers predict inflammatory bowel disease years before the diagnosis
JF Gut
JO Gut
FD BMJ Publishing Group Ltd and British Society of Gastroenterology
SP 683
OP 688
DO 10.1136/gutjnl-2012-302717
VO 62
IS 5
A1 Fiona D M van Schaik
A1 Bas Oldenburg
A1 Andrew R Hart
A1 Peter D Siersema
A1 Stefan Lindgren
A1 Olof Grip
A1 Birgit Teucher
A1 Rudolf Kaaks
A1 Manuela M Bergmann
A1 Heiner Boeing
A1 Franck Carbonnel
A1 Prevost Jantchou
A1 Marie-Christine Boutron-Ruault
A1 Anne Tjønneland
A1 Anja Olsen
A1 Francesca L Crowe
A1 Petra H M Peeters
A1 Martijn G H van Oijen
A1 H Bas Bueno-de-Mesquita
YR 2013
UL http://gut.bmj.com/content/62/5/683.abstract
AB Objective Anti-neutrophil cytoplasmic antibodies and anti-Saccharomyces cerevisiae mannan antibodies (ASCAs) have been detected in the serum of patients with ulcerative colitis (UC) and Crohn's disease (CD) and their unaffected family members. The aim of this study was to establish the value of serological markers as predictors of UC and CD. Design Individuals who developed CD or UC were identified from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. At recruitment, none of the participants had a diagnosis of CD or UC. For each incident case, two controls were randomly selected matched for centre, date of birth, sex, date of recruitment and time of follow-up. Serum of cases and controls obtained at recruitment were analysed for ASCA IgG, ASCA IgA, perinuclear anti-neutrophil cytoplasmic antibody (pANCA), antibodies against Escherichia coli outer membrane porin C (OmpC) and flagellin CBir1. Conditional logistic regression was used to determine risk of CD and UC. Receiver operating characteristic curves were constructed to test accuracy. Results A total of 77 individuals were diagnosed with CD and 167 with UC after a mean follow-up of 4.5 (SD 3.2) and 4.4 (SD 3.1) years following blood collection, respectively. Combinations of pANCA, ASCA, anti-CBir1 and anti-OmpC were most accurate in predicting incident CD and UC (area under curve 0.679 and 0.657, respectively). The predictive value of the combination of markers increased when time to diagnosis of CD or UC decreased. Conclusion A panel of serological markers is able to predict development of CD and UC in individuals from a low-risk population.