| Literature DB >> 36237548 |
Maya Olaisen1,2, Mathias L Richard3,4, Vidar Beisvåg1,5, Atle van Beelen Granlund1,6, Elin S Røyset1,6,7, Olivier Rué8,9, Tom Christian Martinsen1,2, Arne Kristian Sandvik1,2,6, Harry Sokol3,4,10, Reidar Fossmark1,2.
Abstract
Introduction: Fungal microbiota's involvement in the pathogenesis of Crohn's disease (CD) is incompletely understood. The terminal ileum is a predilection site both for primary involvement and recurrences of CD. We, therefore, assessed the mucosa-associated mycobiota in the inflamed and non-inflamed ileum in patients with CD.Entities:
Keywords: Crohn's disease; fungal microbiota; fungi; inflammatory bowel disease; mycobiota
Year: 2022 PMID: 36237548 PMCID: PMC9551188 DOI: 10.3389/fmed.2022.868812
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Demographic and clinical characteristics of Crohn's disease (CD) patients and healthy controls (HC).
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| |
|---|---|---|---|
| 44 | 40 | ||
| 24 (54.5%) | 19 (47.5%) | 0.52 | |
| 42.2 (14.4) | 36.6 (12.9) | 0.07 | |
|
| 25.8 (4.8) | 26.6 (4.7) | 0.40 |
| 0.72 | |||
| PPI | 5 (11.4%) | 2 (5%) | |
| H2 blockers | 0 | 0 | |
| PPI on demand | 0 | 0 | |
| H2 blockers on demand | 1 (2.3%) | 1 (2.5%) | |
| 0.57 | |||
| Never smoker | 23 (52.3%) | 25 (62.5%) | |
| Active smoker | 5 (11.4%) | 5 (12.5%) | |
| Snuff | 10 (22.7%) | 8 (20%) | |
| Ex-smoker | 6 (13.6%) %) | 2 (5%) | |
|
| |||
| Hb (g/dL), mean (SD) | 14.1 (1.5) | 14.5 (1.7) | 0.197 |
| Leukocytes (x109/L), median (IQR) | 6.4 (2.3) | 6.5 (2.3) | 0.50 |
| CRP (mg/L), median (IQR) | <5 ( | <5 (0) |
|
Comparing CD (n = 44) with HC (n = 40) using Mann–Whitney U-test for skewed distributed continuous variables, independent t-test for normal distributed continuous variables, and Chi-square/Fisher exact test for categorical variables.
Crohn's disease (CD) characteristics, medical treatment, endoscopic evaluation, and surgical history.
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|---|---|
| 10.0 (19.8) | |
| Terminal ileitis (Inflamed 5-cm + normal 15-cm) | 22 (50.0%) |
| Active disease (Inflamed 5-cm + 15-cm) | 10 (22.7%) |
| Remission (Normal 5 + 15 cm) | 12 (27.3%) |
| Terminal ileum (L1) | 23 (52.3%) |
| Ileocolonic (L3) | 16 (36.4%) |
| Ileocolonic + Upper GI (L3 + L4) | 5 (11.4%) |
| Non-stricturing, non-penetrating (B1) | 8 (18.2%) |
| Non-stricturing, non-penetrating + perianal (B1p) | 2 (4.5%) |
| Stricturing (B2) | 15 (34.1%) |
| Stricturing + perianal (B2p) | 6 (13.6%) |
| Penetrating (B3) | 11 (25%) |
| Penetrating + perianal (B3p) | 2 (4.5%) |
| 16 years or younger (A1) | 12 (27.3%) |
| 17–40 years (A2) | 22 (50%) |
| Over 40 years (A3) | 10 (22.7%) |
| No medical therapy for CD | 18 (40.9%) |
| Budesonide | 7 (15.9%) |
| Prednisolone | 4 (9.1%) |
| 5-ASA | 3 (6.8%) |
| Azathioprine | 6 (13.6%) |
| Methotrexate | 3 (6.8%) |
| Adalimumab | 4 (9.1%) |
| Infliximab | 7 (15.9%) |
| Vedolizumab | 1 (2.3%) |
| Treatment naïve, | 6 (13.6%) |
| Anti-TNF treatment naïve, | 23 (52.3%) |
| i0 | 12 (27.3%) |
| i1 | 12 (27.3%) |
| i2 | 5 (11.4%) |
| i3 | 6 (13.6%) |
| i4 | 9 (20.5%) |
|
| 28 (63.6%) |
Based on endoscopic evaluation of inflammation.
Co-medication: n = 8 (18.2) used two CD medications, n = 1 (2.3%) used three CD medications.
Figure 1The mucosa-associated mycobiota in Crohn's disease (CD) patients (n = 44) was altered in comparison to healthy controls (HC) (n = 40). (A) Alpha-diversity, according to observed operational taxonomic units (OTUs) (left) and Simpson index (right), boxplots colored according to disease phenotype (HC = red, CD = blue). (B) Beta-diversity. Principal coordinates analysis of Bray–Curtis dissimilarity with samples colored according to study group, (CD = blue and HC = red). The fraction of diversity captured by the coordinate is given in percentage on axes 1 and 2. Groups were compared using the Permanova method. (C) Relative abundance of fungal phyla in HC and CD patients.
Figure 2Fungal taxa were differentially abundant in Crohn's disease (CD) patients (n = 44) in comparison to healthy controls (HC) (n = 40) identified by linear discriminant analysis effect size (LEfSe). (A) Fungal taxa overrepresented in CD patients (red) and HC (green) with Linear Discriminant Analysis (LDA) score for differentially abundant fungal taxa. (B) Heatmap of differentially abundant fungal species between CD and HC mucosal pinch biopsies sampled 5-cm proximal of the ileocecal valve or ileocolic anastomosis.
Figure 3Fungal mycobiota in inflamed and proximally non-inflamed ileal mucosa in Crohn's disease (CD) patients without upper CD involvement (n = 20). Biopsies sampled at inflamed 5-cm and non-inflamed 15-cm proximal to the ileocecal valve or ileocolic anastomosis. (A) No differences in alpha diversity, according to observed operational taxonomic units (OTUs) (left) and Simpson index (right), boxplots colored according to biopsy location (inflamed 5 cm = blue, non-inflamed 15 cm = red). (B) Mycobiota composition in inflamed terminal ileum (blue) and proximally non-inflamed ileum (red) of CD patients (n = 20) and in healthy controls (HC) (green) (n = 40). Principal coordinates analysis of Jaccard index with samples colored according to disease status (CD and HC) and ileal location. The fraction of diversity captured by the coordinate is given in percentage on axes 1 and 2. (C) Different mycobiota composition in inflamed (blue) and proximally non-inflamed ileum (red) according to beta diversity. Principal coordinates analysis of Jaccard index with samples colored according to ileal location. The fraction of diversity captured by the coordinate is given in percentage on axes 1 and 2. Groups were compared using the Permanova method.
Figure 4Differentially abundant fungal taxa between inflamed 5-cm vs. proximal non-inflamed 15-cm ileum of Crohn's disease (CD) patients (n = 20) with terminal ileitis and no history of upper CD involvement. Biopsies sampled from 5- and 15 cm proximal of the ileocecal valve or ileocolic anastomosis within the same patients. (A) Fungal taxa overrepresented in inflamed 5-cm biopsies (green) and non-inflamed 15-cm biopsies (red) in a histogram with Linear Discriminant Analysis (LDA) score computed using linear discriminant analysis effect size (LEfSe). (B) Heatmap showing the distribution of differentially abundant fungal species in inflamed 5-cm samples (right) and non-inflamed 15-cm samples (left) identified using LEfSe.
Figure 5Fungal microbiota in CD patients needing treatment escalation (n = 17) within the first year after biopsy sampling compared to CD patients not needing treatment escalation (n = 27). (A) Fungal alpha-diversity, according to observed operational taxonomic units (OTUs) (left) and Simpson index (right), boxplots colored according to need for treatment escalation (blue) and no need for treatment escalation (red). (B) Beta-diversity. Principal coordinates analysis of Bray–Curtis dissimilarity with samples colored according to the need for treatment escalation (blue) and no need for treatment escalation (red). The fraction of diversity captured by the coordinate is given in percentage on axes 1 and 2. Groups were compared using the Permanova method. (C) Principal coordinates analysis of Jaccard index with samples colored according to need for treatment escalation (yes = blue, no = red). The fraction of diversity captured by the coordinate is given in percentage on axes 1 and 2. Groups were compared using the Permanova method. (D) Fungal taxa overrepresented in CD patients needing treatment escalation within 1 year compared to CD patients not needing treatment escalation, illustrated in a histogram with Linear Discriminant Analysis (LDA) score computed using linear discriminant analysis effect size (LEfSe).
Figure 6Differentially abundant fungal taxa between Crohn's disease (CD) patients currently using anti-TNF agents (Anti-TNF) (n = 11) compared to CD patients with no medical treatment (NT) (n = 18). (A) Relative abundance of fungal phyla in CD patients with no medical treatment (NT) and anti-TNF treated CD patients. (B) Fungal taxa overrepresented in anti-TNF-treated CD patients (green) and in CD patients with no medical treatment (NT) (red) illustrated in a histogram with Linear Discriminant Analysis (LDA) score computed using linear discriminant analysis effect size (LEfSe).