Department of Gastroenterology and Hepatology, University Medical Center Utrecht, PO Box 85500, 3508 GA Utrecht, The Netherlands.
Gut. 2013 May;62(5):683-8. doi: 10.1136/gutjnl-2012-302717. Epub 2012 Jul 26.
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.
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.
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.
A panel of serological markers is able to predict development of CD and UC in individuals from a low-risk population.
抗中性粒细胞胞质抗体和抗酿酒酵母甘露聚糖抗体(ASCA)已在溃疡性结肠炎(UC)和克罗恩病(CD)患者及其未受影响的家庭成员的血清中被检测到。本研究旨在确定血清标志物作为 UC 和 CD 预测因子的价值。
从欧洲癌症前瞻性调查和营养研究(EPIC)中确定了发展为 CD 或 UC 的个体。在招募时,所有参与者均未被诊断为 CD 或 UC。对于每个新发病例,随机选择两个对照,以中心、出生日期、性别、招募日期和随访时间匹配。在招募时收集的病例和对照的血清用于分析 ASCA IgG、ASCA IgA、核周抗中性粒细胞胞质抗体(pANCA)、针对大肠埃希菌外膜孔蛋白 C(OmpC)和鞭毛 CBir1 的抗体。条件逻辑回归用于确定 CD 和 UC 的风险。构建受试者工作特征曲线以测试准确性。
平均随访 4.5(SD 3.2)和 4.4(SD 3.1)年后,分别有 77 人被诊断为 CD,167 人被诊断为 UC。pANCA、ASCA、抗 CBir1 和抗 OmpC 的组合在预测新发 CD 和 UC 方面最准确(曲线下面积分别为 0.679 和 0.657)。当 CD 或 UC 的诊断时间减少时,标记物组合的预测价值增加。
一组血清标志物能够预测低风险人群中 CD 和 UC 的发生。