| Literature DB >> 25970536 |
Mark Pimentel1, Walter Morales1, Ali Rezaie1, Emily Marsh1, Anthony Lembo2, James Mirocha3, Daniel A Leffler2, Zachary Marsh1, Stacy Weitsman1, Kathleen S Chua1, Gillian M Barlow1, Enoch Bortey4, William Forbes4, Allen Yu1, Christopher Chang1.
Abstract
Diarrhea-predominant irritable bowel syndrome (IBS) is diagnosed through clinical criteria after excluding "organic" conditions, and can be precipitated by acute gastroenteritis. Cytolethal distending toxin B (CdtB) is produced by bacteria that cause acute gastroenteritis, and a post-infectious animal model demonstrates that host antibodies to CdtB cross-react with vinculin in the host gut, producing an IBS-like phenotype. Therefore, we assessed circulating anti-CdtB and anti-vinculin antibodies as biomarkers for D-IBS in human subjects. Subjects with D-IBS based on Rome criteria (n=2375) were recruited from a large-scale multicenter clinical trial for D-IBS (TARGET 3). Subjects with inflammatory bowel disease (IBD) (n=142), subjects with celiac disease (n=121), and healthy controls (n=43) were obtained for comparison. Subjects with IBD and celiac disease were recruited based on the presence of intestinal complaints and histologic confirmation of chronic inflammatory changes in the colon or small intestine. Subjects with celiac disease were also required to have an elevated tTG and biopsy. All subjects were aged between 18 and 65 years. Plasma levels of anti-CdtB and anti-vinculin antibodies were determined by ELISA, and compared between groups. Anti-CdtB titers were significantly higher in D-IBS subjects compared to IBD, healthy controls and celiac disease (P<0.001). Anti-vinculin titers were also significantly higher in IBS (P<0.001) compared to the other groups. The area-under-the-receiver operating curves (AUCs) were 0.81 and 0.62 for diagnosis of D-IBS against IBD for anti-CdtB and anti-vinculin, respectively. Both tests were less specific in differentiating IBS from celiac disease. Optimization demonstrated that for anti-CdtB (optical density≥2.80) the specificity, sensitivity and likelihood ratio were 91.6%, 43.7 and 5.2, respectively, and for anti-vinculin (OD≥1.68) were 83.8%, 32.6 and 2.0, respectively. These results confirm that anti-CdtB and anti-vinculin antibodies are elevated in D-IBS compared to non-IBS subjects. These biomarkers may be especially helpful in distinguishing D-IBS from IBD in the workup of chronic diarrhea.Entities:
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Year: 2015 PMID: 25970536 PMCID: PMC4430499 DOI: 10.1371/journal.pone.0126438
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Patient demographics.
| Number of subjects | Age (range) | % of females | |
|---|---|---|---|
| Healthy controls | 43 | 36.0±9.9 (22–62) | 67.4 |
| D-IBS | 2375 | 44.4±12.2 (18–65) | 67.6 |
| CD | 73 | 40.6±11.3 (18–65) | 56.2 |
| UC | 69 | 41.2±12.2 (19–63) | 55.1 |
| IBD (UC+CD) | 142 | 40.9±11.7 (18–65) | 55.6 |
| Celiac disease | 121 | 41.6±12.3 (19–65) | 76 |
aValues are given as mean ± standard deviation
b Crohn’s disease
c ulcerative colitis
Fig 1Comparison of optical density (OD) for the anti-CdtB antibody among the groups.
Titers were higher in IBS subjects when compared to any other group (P<0.001). Titers were also higher in subjects with celiac disease when compared to healthy controls and IBD subjects (P<0.001). Dots represent outlier subjects beyond the whisker plot.
Fig 2Comparison of optical density (OD) for the anti-vinculin antibody among the groups.
Titers were higher in IBS subjects when compared to any other group (P<0.001). Dots represent outlier subjects beyond the whisker plot.
Fig 3Receiver operator curve (ROC) comparing anti-CdtB and anti-vinculin levels in D-IBS subjects and IBD subjects.
CI, confidence interval.
Cutoffs for anti-CdtB and anti-vinculin for the diagnosis of D-IBS vs. IBD.
| OD | Specificity % | Sensitivity % | +LR | -LR |
|---|---|---|---|---|
|
| ||||
| ≥2.49 | 85.9 | 60.0 | 4.3 | 0.5 |
| ≥2.80 | 91.6 | 43.7 | 5.2 | 0.6 |
| ≥3.04 | 95.8 | 28.3 | 6.7 | 0.7 |
|
| ||||
| ≥1.53 | 80.3 | 37.8 | 1.9 | 0.8 |
| ≥1.68 | 83.8 | 32.6 | 2.0 | 0.8 |
| ≥1.80 | 84.5 | 28.9 | 1.8 | 0.8 |
a positive likelihood ratio
b negative likelihood ratio