| Literature DB >> 35401986 |
Abstract
Microscopic colitis (MC) is a chronic inflammatory disease of the large intestine and as a relatively late recognized condition, its relationship with other disorders of the gastrointestinal tract is gradually being understood and investigated. As a multifactorial disease, MC interacts with inflammatory bowel disease, celiac disease, and irritable bowel syndrome through genetic overlap, immunological factors, and gut microflora. The risk of colorectal cancer was significantly lower in MC, gastrointestinal infections increased the risk of developing MC, and there was an inverse association between Helicobacter pylori infection and MC. A variety of associations are found between MC and other gastrointestinal disorders, where aspects such as genetic effects, resemblance of immunological profiles, and intestinal microecology are potential mechanisms behind the relationships. Clinicians should be aware of these connections to achieve a better understanding and management of MC.Entities:
Keywords: celiac disease; inflammatory bowel disease; irritable bowel syndrome; management; microscopic colitis
Year: 2022 PMID: 35401986 PMCID: PMC8988210 DOI: 10.1093/gastro/goac011
Source DB: PubMed Journal: Gastroenterol Rep (Oxf)
Proposed possible pathogenic mechanisms of MC
| Proposed pathogenesis of MC | Altered components | Specific changes | Influencing factor | Mechanism description | Comments | References |
|---|---|---|---|---|---|---|
| Environmental factors | Smoking and alcohol consumption | Smoking: alteration of the gut microbiome, and inflammation induction; alcohol consumption: integrity of the intestinal epithelial barrier; endotoxin-producing bacteria | NA | Smoking: epithelial barrier dysfunction and intestinal inflammation; alcohol consumption: increasing the trans-epithelial and paracellular passage of luminal antigens, dysbiosis, and intestinal bacterial overgrowth | Smoking: a pooled OR of 2.99 for current smokers and 1.63 for former smokers compared with never smokers; alcohol consumption: aHRs of MC were 1.20 for consumers of 0.1–4.9 g/day of alcohol, 1.90 for consumers of 5–14.9 g/day, and 2.31 for consumers of ≥15 g/day | [ |
| Medication | PPIs, NSAIDs, statins, and SSRIs | Intraluminal environment and bacterial flora; bowel integrity and colonic permeability | NA | PPIs: acid suppression-related colonic dysbiosis and affected immune reaction; NSAIDs: intestinal damage and increased bile salt cytotoxicity; statins: unknown; SSRIs: aggravation of colitis symptoms by interference with the gastrointestinal motility and secretion | Poor understanding of the pathogenic mechanisms | [ |
| Infectious agents |
| Enteric flora; intestinal microenvironment | NA | Further dysbiosis of the enteric flora; intestinal epithelial sodium channel dysfunction and claudin-8-dependent gut barrier dysfunction; alteration of the intestinal microenvironment activates the immune pathway |
| [ |
| Autoimmune disorders | HLA haplotypes; autoantibodies; hypersensitivity response | Concomitant autoimmune conditions and shared HLA genotype; serum antinuclear antibodies, IgM, antigliadin IgA, anti-endomysial, ASCA; drug or food allergy | Some drugs | Underlying autoimmune diseases affecting the gut or cross-reactivity of antigens due to increased intestinal permeability | No direct evidence | [ |
| Genetic factors | Genetic predisposition | HLA region and the extended haplotype 8.1 | NA | HLA-DQ2 as a shared genetic predisposition to celiac disease; haplotype 8.1 in association with collagenous colitis | HLA regions play a role in MC | [ |
aHR, adjusted hazard ratio; ASCA, anti-Saccharomyces cerevisiae antibody; HLA, human leukocyte antigen; H. pylori, Helicobacter pylori; MC, microscopic colitis; NA, not available; NSAIDs, non-steroidal anti-inflammatory drugs; OR, odds ratio; PPIs, proton-pump inhibitors; SSRIs, selective serotonin reuptake inhibitors.
Similarities and differences between CC and LC in terms of immunological profile and genetic susceptibility
| Subtypes of MC | Immunological profile | Genetic predisposition | References | |||||
|---|---|---|---|---|---|---|---|---|
| Chemokine and receptor | Cytokine | Prostaglandin | Growth factor | T-lymphocyte | Others | |||
| CC and LC | ↑: CXCL8, CXCL9, CXCL10, CXCL11, CCL2, CCL3, CCL20, CX3CL1, CX3CL2, CXCR1, CXCR2 | ↑: TNF-α mRNA, IFN-γ mRNA, IL-17-A mRNA, IL-10, IL-21, IL-23 | ↑: COX-2 | – | ↑: Th1/Tc1, Th17/Tc17, Ki67+ T, CD45RO+ T, FoxP3+ Treg | ↓: TRECs | – | [ |
| CC | ↑: CXCR3, CX3CR1, CCR3, CCR5, CCR7, CCR8, CCR10 | ↑: IL-6 | – | ↑: VEGF, CTGF, TGF-β1, bFGF | – | ↑: TIMP1, CfB, miR-31, T-bet | HLA haplotype 8.1 | [ |
| ↓: CXCL5, CXCL7, CXCL8, CXCL9, CXCL12, CXCL13, XCL1, CCL7, CCL8, CCL16 | ||||||||
| LC | ↑: CXCL11, CXCL8, CCL3, CCL5 | ↑: IL-15 mRNA | – | – | ↓: CD4+T, CD4+CD8+T, CD4-CD8-T; | ↑: T-bet/GATA-3. | – | [ |
| ↑: CD8+T, CD4+γδ +T | ↓: TcRβ V-J: eveness, diversity | |||||||
↑: increased indicator level; ↓: decreased indicator level; –, not mentioned; CC, collagenous colitis; LC, lymphocytic colitis; MC, microscopic colitis; CXCL, C-X-C motif chemokine ligand; CCL, chemokine c-c motif ligand; CX3CL, C-X-3-C motif chemokine ligand; CXCR, C-X-C motif chemokine receptor; TNF, tumor necrosis factor; IFN, interferon; IL, interleukin; COX, cyclooxygenases; Th, helper T-cell; CD, Cluster of Differentiation; FoxP3, forkhead box protein P3; Treg, regulatory T-cell; TREC, T-cell receptor excision circle; CX3CR, C-X-3-C motif chemokine receptor; CCR, C-C chemokine receptor; XCL, X-C motif chemokine ligand; VEGF, vascular endothelial growth factor; CTGF, connective tissue growth factor; TGF, transforming growth factor; bFGF, basic fibroblast growth factor; TIMP, tissue inhibitor of metalloproteinase; CfB, complement factor B; miR, miRNA; HLA, human leukocyte antigen; T-bet, T-box transcription factor; GATA, a class of transcriptional regulators that normally recognize the consensus sequence WGATAR (W = T or A; R = G or A); TcRβ V-J, T-cell antigen receptor beta chain variable-J.
Association of MC (both CC and LC) with genetic aspects of IBD (both CD and UC) and celiac disease
| Genetically linked diseases | Author, year | Country | Study design | Study cohort | Detection methods | Genetic linkage to MC (both CC and LC) |
|
|---|---|---|---|---|---|---|---|
| MC and IBD | Green | UK | GWAS | 483 MC cases and 450,616 controls | Genetic risk scores calculated using ORs for previously published SNPs | Mean (95% CI) score of 0.9286 (0.9237–0.9335) for patients with MC; 0.9230 (0.9229–0.9231) for controls | 0.019 |
| MC and CD | Mean (95% CI) score of 0.9688 (0.9632–0.9739) for patients with MC; 0.9634 (0.9632–0.9636) for controls | 0.035 | |||||
| CC, CD, and UC | Stahl | US | Genetic association study | 84,922 SNPs for 804 CC cases, 11,700 celiac disease cases, 17,342 CD cases, 13,436 UC cases, and 27,101 controls | Using ASSET and CPBayes to identify loci with common genetic effects | rs6702421 chr1:195651049 near | NA |
| CC, celiac disease, and CD | rs10806425 chr6:90868580 near | ||||||
| CC, celiac disease, and UC | rs4142969 chr6:138003826 and rs6927172 chr6:138000928 | ||||||
| CC and celiac disease | rs4525910 chr3:161108490 near | ||||||
| CC, celiac disease, CD, and UC | rs12131796, chr1:199137377 near | ||||||
| CC and IBD | Westerlind | Germany, Sweden | Genetic association study | 314 patients with CC and 4,299 controls from three separate North European cohorts | Retrieval of summary statistics from the GWAS/Immunochip meta-analysis from the IIBDGC and comparison with the CC Immunochip summary statistics from the current study to perform the validated SECA | Significant associations of IBD/CD/UC risk loci in CC: rs2930047, rs3851228, rs6920220, rs9297145, rs6651252, rs10761659, rs1250546, and rs1893217 | <0.001 |
| CC and CD | <0.001 | ||||||
| CC and UC | <0.01 | ||||||
| CC and celiac disease | Fernández-Bañares | Spain | Genetic association study | 25 patients with LC, 34 with CC, and 70 healthy controls | HLA-DQ2 and HLA-DQ8 were investigated in patients with MC using PCR-SSP | 24.3% healthy controls were DQ2-positive, 32.3% with CC were DQ2-positive | 0.38 |
| LC and celiac disease | 24.3% healthy controls were DQ2-positive, 48% patients with LC were DQ2-positive | 0.027 | |||||
| MC and celiac disease | Fine | US | Genetic association study | 53 patients with MC and 429 normal controls | Serological cytotoxicity methods and PCR based DNA sequence-specific primer methods to detect HLA typing | HLA-DQ2 or DQ1,3 is more common in patients with MC compared with controls | <0.02 |
MC, microscopic colitis; CC, collagenous colitis; LC, lymphocytic colitis; IBD, inflammatory bowel disease; CD, Crohn's disease; UC, ulcerative colitis; GWAS, genome-wide association study; OR, odds ratio; SNP, single nucleotide polymorphism; CI, confidence interval; ASSET, Association analysis of SubSETs; CPBayes, Cross-Phenotype Bayesian meta-analysis approach; NA, not available; IIBDGC, the International Inflammatory Bowel Disease Genetics Consortium; SECA, SNP effect concordance analysis; HLA, human leukocyte antigen; PCR, polymerase chain reaction; SSP, sequence-specific primer.
Figure 1.A graphical summary of the conversion of MC and IBD to each other. MC and IBD share some intestinal dysbiosis, increased pro-inflammatory factors such as IFN-γ and TNF-α in the conversion of MC to IBD, and common genetic effects between the two. The transformation of IBD to MC may then be triggered by certain risk factors such as MC-related drug use, infection, and mechanistically may be due to an imbalance of the immune response and mucosal repair. MC, microscopic colitis; IBD, inflammatory bowel disease; IFN, interferon; TNF, tumor necrosis factor; Treg, regulatory T-cell; T-bet, T-box transcription factor; IL, interleukin; TGF, transforming growth factor.
Studies on the association of MC (including CC and LC) with colorectal neoplastic lesions
| Type of MC | Author, year | Country | Study design | Patient cohort | Age, mean ± SD, years | Colorectal neoplastic lesion type | Effect size (95% CI) | Adjustment factors |
|---|---|---|---|---|---|---|---|---|
| MC | Borsotti | Italy | Prospective cohort study | 43 (28 CC; 15 LC) | 60 ± 16 | Colorectal neoplasia | OR: 0.39 (0.22–0.67) | Age, gender |
| MC | Weimers | Denmark | Nationwide cohort study | 14,302 (8,437 CC; 5,865 LC) | 65 ± 14 | CRC | RR: 0.47 (0.38–0.59) | Charlson co-morbidity index |
| MC | Bergman | Sweden | Population-based cohort study | 11,758 (3,734 CC; 8,024 LC) | 59 ± 17 | CRC | HR: 0.52 (0.40–0.66) | Age, sex, county of residence, calendar year, education level, diabetes, coeliac disease |
| MC | Levy | US | Retrospective cohort study | 221 (112 CC; 109 LC) | 65.7 ± 15.4 | Colorectal neoplasia | OR: 1.07 (0.69–1.66) for tubular adenoma; 1.26 (0.17–9.42) for villous adenomaa | Age, gender, smoking, BMI |
| MC | Sonnenberg | US | Case–control study | 11,176 | 64.2 ± 13.8 | Colon polyps | OR: 0.46 (0.43–0.49) for hyperplastic polyps; 0.24 (0.19–0.30) for serrated adenomas; 0.35 (0.33–0.38) for tubular adenomas | Age, sex |
| MC | Tontini | Italy | Prospective cohort study | 43 (30 CC; 13 LC) | 67 ± 15 | Colorectal neoplasia | OR: 0.22 (0.05–0.97) | NA |
| MC | Yen | US | Case–control study | 647 (281 CC; 386 LC) | 68.0 ± 14.7 | CRC and adenoma | OR: 0.34 (0.16–0.73) for CRC; 0.52 (0.39–0.69) for colorectal adenoma | Family history of CRC, tobacco use, alcohol use, BMI |
| MC | Kao | US | Retrospective analysis | 547 (171 CC; 376 LC) | 61.7 | CRC | NA | NA |
| CC | Chan | US | NA | 117 | 61 ± 13 | CRC | NA | Age, race, sex, calendar time |
| CC | Larsson | UK; Sweden | Two-stage observational study | 738; 1141 | 68 (58–77); 67 (57–76) | Colon cancer | SIR: 0.23 | Year of onset, sex, age group |
| CC | Bonderup | Denmark | Retrospective follow-up | 24 | NA | CRC | NA | NA |
MC, microscopic colitis; CC, collagenous colitis; LC, lymphocytic colitis; SD, standard deviation; CI, confidence interval; OR, odds ratio; CRC, colorectal cancer; SD, standard deviation; RR, relative risk; HR, hazard ratio; BMI, body mass index; NA, not available; SIR, standardized incidence ratio.
Compared with the general US population, MC was not associated with an increased risk of CRC in either men (SIR 1.59, 95% CI 0.27–5.24) or women (SIR 1.97, 95% CI 0.86–3.89).
No numbers reported for CC and LC respectively.
No SD reported.
All these studies did not report cases of CRC.
A study reporting on the incidence of cancer in CC.
The interquartile range (IQR) is reported instead of SD.
A retrospective follow-up of patients with CC diagnosed during 1979–1990.