| Literature DB >> 28652656 |
Malgorzata Matusiewicz1, Katarzyna Neubauer1, Iwona Bednarz-Misa1, Sabina Gorska1, Malgorzata Krzystek-Korpacka1.
Abstract
AIM: To evaluate circulating IL9 in inflammatory bowel disease and disease-associated anemia/cachexia and assess its potential as a mucosal healing marker.Entities:
Keywords: Anemia; Biomarker; Cachexia; Crohn’s disease; Inflammatory bowel disease; Interleukin 9; Mucosal healing; Ulcerative colitis
Mesh:
Substances:
Year: 2017 PMID: 28652656 PMCID: PMC5473122 DOI: 10.3748/wjg.v23.i22.4039
Source DB: PubMed Journal: World J Gastroenterol ISSN: 1007-9327 Impact factor: 5.742
Characteristics of study population (inflammatory bowel disease)
| 122 | 133 | 38 | ||
| Age (yr) | 38.5 ± 14.2 | 37.5 ± 13.4 | 37.6 ± 10.5 | 0.825 |
| Gender (F/M) | 55/67 | 63/70 | 16/22 | 0.833 |
Data on age is presented as mean ± SD and analyzed using one-way ANOVA; data on gender distribution (F-females, M-males) was analyzed using χ2 test. IBD: Inflammatory bowel disease.
Characteristics of study population (Crohn’s disease and ulcerative colitis)
| N | 81 | 16 | 52 | 22 | |
| Age (yr) | 35.3 ± 12.7 | 35.7 ± 10.5 | 40.9 ± 13.8 | 39 ± 10.5 | 0.081 |
| Gender (F/M) | 42/39 | 5/11 | 21/31 | 11/11 | 0.346 |
| Hb (g/dL) | 12 ± 1.9 | 13.8 ± 2.1 | 12.2 ± 2.4 | 12.8 ± 1.5 | 0.028 |
| PLT (× 103/mm3) | 397 (297-483) | 283 (215-344) | 314 (283-434) | 264 (226-327) | < 0.001 |
| WBC (× 103/mm3) | 7.89 (5.9-10.8) | 6.24 (5.5-7.3) | 7.91 (6.1-9) | 6.2 (5.1-7.6) | 0.046 |
| Protein (g/dL) | 6.97 ± 0.99 | 7.26 ± 0.74 | 6.77 ± 0.88 | 7.23 ± 0.54 | 0.152 |
Data on age, hemoglobin (Hb), and total protein concentration presented as mean ± SD and analyzed using one-way ANOVA; data on platelet (PLT) and leukocyte (WBC) counts presented as medians with interquartile range and analyzed using Kruskal-Wallis H test; data on gender distribution (F-females, M-males) was analyzed using χ2 test. CD: Crohn’s disease; UC: Ulcerative colitis.
Figure 1Systemic IL-9 in healthy individuals and patients with active and inactive inflammatory bowel disease. Data presented as medians with 95%CI and analyzed using Kruskal-Wallis H test. 1Significantly different from other groups.
Figure 2Systemic IL-9 in patients with active and inactive Crohn’s disease and ulcerative colitis. Data presented as geometric means with 95%CI and analyzed using one-way ANOVA. Small letters indicate statistical significance of between-group differences.
Figure 3Correlation between the concentrations of circulating IL9 and the clinical activity of Crohn’s disease and ulcerative colitis. Data analyzed using Spearman correlation test. CDAI: Crohn’s Disease Activity Index; MDAI: Mayo Disease Activity Index.
Figure 4Correlation between the concentrations of circulating IL9 in patients with ulcerative colitis and endoscopic score. Data analyzed using Spearman correlation test.
Figure 5Comparison of IL9, hsCRP and IL6 as potential markers of mucosal non-healing. Data presented as area under ROC curve (AUC) with 95%CI and P value. For an optimal cut-off value, markers sensitivity (sens.) and specificity (spec.) as well as Youden's J statistic (YI, where J = Sensitivity + Specificity - 1) were calculated.
Interleukin-9 association with proinflammatory, angiogenic and Th1 and Th2 subset-specific cytokines
| IL1β | NS | 0.58, | 0.42, | 0.76, | 0.51, |
| IL6 | NS | 0.58, | 0.38, | 0.77, | 0.33, |
| IL13 | 0.48, | 0.62, | NS | NS | 0.46, |
| IFNγ | 0.29, | NS | 0.51, | 0.74, | NS |
| TNFα | NS | NS | NS | 0.65, | 0.19, |
| VEGFA | 0.37, | 0.77, | 0.38, | 0.46, | 0.36, |
Independently associated with IL9 in multivariate analysis (stepwise method). CD: Crohn’s disease; UC: Ulcerative colitis.