| Literature DB >> 28053669 |
Samin Zamani1, Mohammad Reza Zali2, Hamid Asadzadeh Aghdaei2, Leonardo Antonio Sechi3, Magdalena Niegowska3, Elisa Caggiu3, Rouhollah Keshavarz4, Nader Mosavari4, Mohammad Mehdi Feizabadi5.
Abstract
BACKGROUND: Inflammatory bowel disease (IBD) is described as a relapsing condition with high morbidity and uncertain complex pathogenesis. The association of Mycobacterium avium ssp. paratuberculosis (MAP) with Crohn's disease (CD) in human has been debated for decades, however there is no confirmed data to verify such relations in Iran. The aim of this study was to investigate risk factors and a possible role of MAP in Iranian patients with CD.Entities:
Keywords: Crohn’s disease; ELISA; IS900 nested PCR; Inflammatory bowel disease; Iran; Mycobacterium avium subsp. paratuberculosis
Year: 2017 PMID: 28053669 PMCID: PMC5209900 DOI: 10.1186/s13099-016-0151-z
Source DB: PubMed Journal: Gut Pathog ISSN: 1757-4749 Impact factor: 4.181
Fig. 1Prevalence of Abs against MAP epitopes in CD, UC and nIBD subjects. Distribution of Abs values based on the statistical analyses was performed separately for MAP3865c133–141 (a, b) and MAP3865c125–133 (c, d) with respect to disease. The dotted lines indicate the cut-off for positivity relative to each assay established through ROC analysis. The percentage of anti-MAP reactive subjects, statistically significant p values (CI 95%) and AUC are reported on top of each distribution. Horizontal bars specific for CD, UC and nIBD groups represent means
Fig. 2Correlation between Abs recognizing MAP3865c133–141 and MAP3865c125–133 peptides in CD, UC and nIBD subjects. Distributions corresponding to CD (a) and UC (b) were analyzed with the same nIBD group. Circles correspond to patients or nIBD positive to anti-MAP Ab. Thresholds for positivity calculated by ROC analysis and specific to each assay are indicated by the dotted lines. R2 and p values relative to each correlation are reposted in the top-left corners
Prevalence of anti-MAP Abs and MAP DNA among CD, UC and nIBD patients
| Diagnosis | anti-MAP1 | anti-MAP1 | anti-MAP2 | anti-MAP2 | IS900+ | IS900− |
|---|---|---|---|---|---|---|
| CD | 13 (46%) | 15 (54%) | 11 (39%) | 17 (61%) | 18 (64%) | 10 (36%) |
| UC | 1 (3%) | 29 (97%) | 5 (16.7%) | 25 (83.3%) | 10 (33%) | 20 (67%) |
| nIBD | 3 (5%) | 59 (95%) | 4 (6%) | 58 (94%) | 7 (9.7%) | 55 (90.3%) |
Numbers with the relative percentages of subjects positive (Abs+) and negative (Abs−) to MAP3865c133–141 (MAP1) and MAP3865c125–133 (MAP2) peptides. Analogous data referred to detection of MAP-specific IS900 gene is provided for each group
Loadings of variables most related to each principal component representative for CD patients and nIBD
| Variables | Principal components | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| PC1 | PC2 | PC3 | PC4 | PC5 | PC6 | PC7 | PC8 | PC9 | |
| Total variation (%) | 18.89 | 8.57 | 7.9 | 7.26 | 5.7 | 5.15 | 4.65 | 4.56 | 4.08 |
| MAP3865c133–141 | 0.65 | −0.15 | −0.32 | −0.28 | 0.15 | 0.17 | −0.17 | 0.04 | 0.01 |
| MAP3865c125–133 | 0.74 | −0.21 | −0.28 | −0.28 | 0.01 | 0.21 | −0.19 | −0.05 | −0.02 |
| MAP DNA | 0.74 | 0.10 | −0.21 | −0.10 | 0.12 | 0.03 | −0.20 | 0.15 | −0.03 |
| Age | −0.66 | 0.28 | −0.32 | −0.03 | −0.29 | 0.06 | −0.2 | −0.11 | 0.15 |
| Gender | −0.15 | −0.09 | −0.5 | 0.63 | 0.24 | −0.06 | −0.27 | 0.03 | 0.06 |
| City | 0.06 | −0.23 | −0.18 | −0.25 | −0.25 | −0.31 | −0.14 | 0.48 | −0.31 |
| IBD history | 0.49 | 0.28 | 0.25 | 0.38 | −0.39 | 0.04 | −0.01 | −0.02 | 0.03 |
| Cancer history | 0.02 | 0.46 | −0.36 | −0.11 | 0.18 | 0.01 | 0.35 | 0.1 | −0.04 |
| Diabetes history | 0.21 | 0.38 | −0.46 | −0.05 | −0.19 | −0.24 | 0.27 | 0.2 | 0.01 |
| Asacol treatment | 0.48 | 0.13 | 0.32 | 0.12 | −0.08 | 0.52 | −0.12 | 0.19 | 0.07 |
| Diarrhea | 0.24 | 0.29 | −0.09 | −0.24 | 0.49 | −0.15 | 0.21 | −0.14 | 0.09 |
| Constipation | −0.07 | −0.25 | −0.22 | 0.32 | −0.06 | 0.19 | 0.46 | −0.38 | 0.01 |
| Bloody stool | 0.47 | −0.37 | −0.04 | 0.13 | −0.2 | −0.21 | 0.21 | −0.18 | −0.1 |
| Low Hb | 0.54 | −0.17 | −0.27 | 0.2 | −0.08 | 0.14 | 0.16 | −0.33 | −0.26 |
| Weight loss | 0.52 | 0.33 | 0.01 | 0.21 | 0.32 | −0.26 | 0.07 | 0.17 | −0.04 |
| Smoke | 0.22 | 0.4 | −0.13 | −0.28 | −0.02 | −0.01 | 0.08 | −0.19 | 0.52 |
| Milk consumption | 0.15 | −0.45 | 0.07 | 0.15 | −0.23 | 0.29 | 0.11 | 0.16 | 0.28 |
| Pasteurized milk | −0.15 | 0.52 | 0.15 | 0.3 | 0.19 | 0.36 | −0.29 | −0.26 | −0.02 |
| Fruit/vegetables | −0.57 | −0.06 | −0.13 | −0.15 | 0.35 | −0.08 | −0.12 | −0.15 | −0.05 |
| Breastfeeding duration | −0.56 | 0.03 | −0.28 | −0.36 | 0.02 | 0.15 | 0.03 | −0.21 | −0.15 |
| Fast food | 0.48 | 0.06 | 0.25 | 0.11 | 0.46 | 0.00 | −0.04 | 0.11 | 0.05 |
Nine principal components with major contribution of each variable have been included. Italic values denote loadings ≥0.45. The table includes only variables exceeding the established threshold, relative to demographics, clinical history and nutritional habits of the selected participants. Percentage of the total variation is given for each principal component
Fig. 3Principal component analysis of variables with potential influence on MAP transmission and positivity to MAP3865c133–141/MAP3865c125–133 peptides. Bi-plots show correlation between the analyzed epitopes and variables relative to personal dietary history, geographical provenience and gender in CD patients (a), UC subjects (b) and nIBD used for both analyses. Samples positive to anti-MAP Abs are represented by squares whereas those negative by circles; all variables are described by labels and their position is indicated by triangles. The distribution illustrates only PC1 and PC2 correlations