| Literature DB >> 32282988 |
Juan J Estruch1, Derren Barken2, Nicole Bennett3,4,5, Donald K Krawiec3,4,5, Gregory K Ogilvie3,4,5, Barbara E Powers6, Benjamin J Polansky3,4,5, Michael T Sueda3,4,5.
Abstract
BACKGROUND: The use of serological markers to diagnose inflammatory bowel disease (IBD) in humans is well-established. Because of the frequency of IBD in dogs and resources required for its diagnosis with current methods, new approaches are desired.Entities:
Keywords: OmpC; calprotectin; flagellin; gliadins; polymorphonuclear leukocytes.
Mesh:
Substances:
Year: 2020 PMID: 32282988 PMCID: PMC7255684 DOI: 10.1111/jvim.15761
Source DB: PubMed Journal: J Vet Intern Med ISSN: 0891-6640 Impact factor: 3.333
Baseline characteristics of 70 dogs with inflammatory bowel disease in the symptomatic IBD population
| Baseline characteristics | IBD group (n = 70) |
|---|---|
| Disease duration | 1‐15 months |
| CIBDAI scores | 5.6 (2‐14) |
| Endoscopic scores | |
| Stomach | 1.5 (2‐4) |
| Duodenum | 2.0 (1‐4) |
| Colon | 2.0 (1‐4) |
| Histopathology | |
| Lymphoplasmacytic | 40% |
| Lymphoplasmacytic + eosinophils | 29% |
| Lymphoplasmacytic + suppurative | 5% |
| Eosinophilic | 10% |
| Severity | |
| Mild | 43% |
| Moderate/severe | 75% |
| Hypoalbumimenic | 25% |
| No additional diagnosis | 85% |
CIBDAI scoring was done by the attending veterinarian.
All canine patients underwent endoscopy/biopsy.
Pathology was performed by Dr Barbara Powers at CSU.
Additional diagnosis included 5 with pancreatitis, 2 with high ACTH, and 2 with potential liver conditions.
FIGURE 1Dog sero‐reactivity of the IgA class specific to selected antigens. Dog sera from the IBD, non‐IBD, and normal cohorts were tested by ELISA as described in Material and Methods to detect anti‐OmpC (ACA, panel A), anti‐calprotectin (ACNA, panel B) IgA antibodies, anti‐flagellin (AFA, panel C), anti‐polymorphonuclear leukocytes (APMNA, panel D), and anti‐gliadins (AGA, panel E) IgA antibodies. Mean of ELISA values (EU/mL) are indicated by thick horizontal bars, and 25th and 75th percentile by light horizontal bars respectively
FIGURE 2Receiver operator characteristics curves for discriminating the IBD, Normal and non‐IBD cohorts for continuous serological markers and autoantibodies. Area under the curve (AUC) represents the discriminating performance of each marker. All AUC values for each of the markers when tested versus identity were statistically significant (Mann‐Whitney U statistic, P < .001)
FIGURE 3Scatterplots of sero‐reactivity against 2 markers determined in canine populations diagnosed with GI conditions. A, IBD versus normal cohorts; B, IBD versus non‐IBD populations. Filled circles represent individual data sets from patients of the IBD cohort in A and B. Unfilled triangles represent individual data sets from patients belonging to the normal cohort in A, and non‐IBD cohort in B. Sensitivity ranging from 76 to 90% and specificity ranging from 86 to 97% for IBD versus normal, and 74 to 96% for IBD versus non‐IBD were obtained per individual markers depending on marker titers selected. Smaller squares represent how the algorithm works in practical terms when applying specific cutoff values