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. 2018 Aug;97(32):e11772.
doi: 10.1097/MD.0000000000011772.

Diagnostic utility of serological biomarkers in patients with Crohn's disease: A case-control study

Affiliations

Diagnostic utility of serological biomarkers in patients with Crohn's disease: A case-control study

Fang Yao et al. Medicine (Baltimore). 2018 Aug.

Abstract

The aim of this study was to examine the expression of serological markers in patients with inflammatory bowel disease in China, and determine the diagnostic utility of serological markers, individually and in combination, for the diagnosis and differential diagnosis of Crohn's disease (CD).Serum samples were obtained from 160 participants in Eastern China. Among the participants, 98 were diagnosed with CD, 33 had ulcerative colitis (UC), and 29 were healthy controls (HC). The serum samples were tested for the presence of antibodies against outer membrane porin C (anti-OmpC), Pseudomonas fluorescens bacterial sequence I2 (anti-I2), anti-laminarin (anti-L), anti-chitin (anti-C), anti-chitobioside carbohydrate antibody (ACCA), anti-laminaribioside carbohydrate antibody (ALCA), anti-mannobioside carbohydrate antibody (AMCA), and anti-Saccharomyces cerevisiae antibody (ASCA) by indirect enzyme-linked immunosorbent assay (ELISA).Individually, anti-C, anti-L, ASCA-IgG, and ALCA lacked diagnostic value in the differentiation of CD. ASCA-IgA remained the most accurate marker for the diagnosis of CD, with an area under the curve (AUC) of 0.77; however, its sensitivity and specificity were both lower than 75%. Among the combinations of the 5 markers with significant diagnosing ability for CD, combinations with any 2 of the 3 markers, ASCA IgA, AMCA, and ACCA positive, provided the best accuracy in the diagnosis and differential diagnosis of CD (sensitivity and specificity both above 75%) and had the highest Youden index.Serological antibodies, when considered in combination, have remarkable value in the diagnosis and differential diagnosis of CD. Especially, the combination of any 2 of the 3 markers, ASCA-IgA, AMCA, ACCA positive, appears to be optimal.

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Conflict of interest statement

Conflict-of-interest statement: We declare that we have no financial or personal relationships with other individuals or organizations that would inappropriately influence our work. There is no professional or other personal interest of any nature in any product or service.

Figures

Figure 1
Figure 1
Serum levels of anti-Saccharomyces cerevisiae antibody (ASCA) IgA and IgG, anti-laminaribioside carbohydrate antibody (ALCA), anti-mannobioside carbohydrate antibody (AMCA), anti-chitobioside carbohydrate antibody (ACCA), anti-chitin (anti-C), anti-laminarin (anti-L), antibody against outer membrane porin C (anti-OmpC), antibody against the Pseudomonas fluorescens bacterial sequence I2 (anti-I2) in patients with Crohn's disease and the control. The box plots indicated the average of the serum levels and the whiskers above the box indicated the variance. ACCA = anti-chitobioside carbohydrate antibody, anti-C = anti-chitin, anti-L = anti-laminarin, ALCA = anti-laminaribioside carbohydrate antibody, AMCA = anti-mannobioside carbohydrate antibody, ASCA = anti-Saccharomyces cerevisiae antibody.
Figure 2
Figure 2
Receiver operating characteristic (ROC) curves of anti-Saccharomyces cerevisiae antibody (ASCA) IgA and IgG, anti-laminaribioside^^ carbohydrate antibody (ALCA), anti-mannobioside carbohydrate antibody (AMCA), anti-chitobioside carbohydrate antibody (ACCA), antibody against outer membrane porin C (anti-OmpC), antibody against the Pseudomonas fluorescens bacterial sequence I2 (anti-I2) for discriminating Crohn's disease and the control. Under the reference line, the area under the curve (AUC) =0.5. AUC < .6, low diagnostic accuracy. ACCA = anti-chitobioside carbohydrate antibody, anti-C = anti-chitin, ALCA = anti-laminaribioside carbohydrate antibody, AMCA = anti-mannobioside carbohydrate antibody, ASCA = anti-Saccharomyces cerevisiae antibody, ROC = receiver operating characteristic.
Figure 3
Figure 3
Receiver operating characteristic curves for the different combinations of anti-Saccharomyces cerevisiae antibody (ASCA) IgA with any one of the remaining 4 markers. Under the reference line, the area under the curve (AUC) =.5. AUC < .6, low diagnostic accuracy. ASCA = anti-Saccharomyces cerevisiae antibody, AUC = area under the curve.
Figure 4
Figure 4
Receiver operating characteristic curves for the different combinations of anti-Saccharomyces cerevisiae antibody (ASCA) IgA with any 2 of the remaining 4 markers. Under the reference line, the area under the curve (AUC) =0.5. AUC < 0.6, low diagnostic accuracy. ASCA = anti-Saccharomyces cerevisiae antibody, AUC = area under the curve.
Figure 5
Figure 5
Receiver operating characteristic curves for the different combinations of anti-Saccharomyces cerevisiae antibody (ASCA) IgA with any 3 of the remaining 4 markers. Under the reference line, the area under the curve (AUC) =0.5. AUC < 0.6, low diagnostic accuracy. ASCA = anti-Saccharomyces cerevisiae antibody, AUC = area under the curve.
Figure 6
Figure 6
Receiver operating characteristic curves for the different combinations of anti-Saccharomyces cerevisiae antibody (ASCA) IgA with the remaining 4 markers. Under the reference line, the area under the curve (AUC) =0.5. AUC < 0.6, low diagnostic accuracy. ASCA = anti-Saccharomyces cerevisiae antibody, AUC = area under the curve.

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