4.8 Article

Serological markers predict inflammatory bowel disease years before the diagnosis

期刊

GUT
卷 62, 期 5, 页码 683-688

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/gutjnl-2012-302717

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资金

  1. European Commission (DG-SANCO)
  2. International Agency for Research on Cancer
  3. Dutch Ministry of Health, Welfare and Sports
  4. Dutch Prevention Funds
  5. LK Research Funds
  6. Dutch ZON (Zorg Onderzoek Nederland)
  7. World Cancer Research Fund (WCRF)
  8. Statistics Netherlands (the Netherlands)
  9. Ligue contre le Cancer
  10. Institut Gustave Roussy
  11. Mutuelle Generale de l'Education Nationale
  12. Institut National de la Sante et de la Recherche Medicale (INSERM
  13. France)
  14. German Cancer Aid
  15. Federal Ministry of Education and Research (Germany)
  16. Danish Cancer Society (Denmark)
  17. Cancer Research UK
  18. Medical Research Council
  19. Stroke Association
  20. British Heart Foundation
  21. Department of Health
  22. Food Standards Agency
  23. Wellcome Trust (UK)
  24. Swedish Cancer Society
  25. Swedish Scientific Council
  26. Regional Government of Skane (Sweden)

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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.

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