| Literature DB >> 30237392 |
Yang Yu1, Shengtao Zhu1, Peng Li1, Li Min2, Shutian Zhang3.
Abstract
Helicobacter pylori has coexisted with humans for approximately 60,000 years and greater than 50% of the global population is infected with H. pylori. H. pylori was successfully cultured in vitro in 1983 and studies of H. pylori have achieved substantial advances over the last 35 years. Since then, H. pylori has been characterized as the primary pathogenic factor for chronic gastritis, peptic ulcer, and gastric malignancy. Numerous patients have received H. pylori eradication treatment, but only 1-2% of H. pylori-infected individuals ultimately develop gastric cancer. Recently, numerous epidemiological and basic experimental studies suggested a role for chronic H. pylori infection in protecting against inflammatory bowel disease (IBD) by inducing systematic immune tolerance and suppressing inflammatory responses. Here we summarize the current research progress on the association between H. pylori and IBD, and further describe the detailed molecular mechanism underlying H. pylori-induced dendritic cells (DCs) with the tolerogenic phenotype and immunosuppressive regulatory T cells (Tregs). Based on the potential protective role of H. pylori infection on IBD, we suggest that the interaction between H. pylori and the host is complicated, and H. pylori eradication treatment should be administered with caution, especially for children and young adults.Entities:
Mesh:
Year: 2018 PMID: 30237392 PMCID: PMC6148320 DOI: 10.1038/s41419-018-0982-2
Source DB: PubMed Journal: Cell Death Dis Impact factor: 8.469
Fig. 1H. pylori infection induce tolerogenic DCs and immunosuppressive Tregs.
E. coli efficiently promotes the transformation of DCs into mature DCs expressing high levels of MHC II CD80, CD86, and CD40that produce numerous of proinflammatory factors, such as IL-12, IL-1β, IL-6, and IL-23. In contrast, H. pylori-stimulated DCs retain a semi-mature phenotype with low MHC II CD80, CD86, and CD40 expression and low proinflammatory factor secretion. Semi-mature DCs secrete increased levels of IL-10, TGF-β, and IL-18, a process that is required for the differentiation of immunosuppressive Tregs, rather than Th1 or Th17 cells from naive Th0 cells. Through lymphocyte recirculation mechanisms, CD4 + CD25 + FoxP3 + Tregs produced in the gastric mucosa travel to other lymphoid tissues in distant organs to exert a systematic immunoregulatory effect that influences the pathogenesis of various autoimmune and allergic diseases, such as IBD and asthma. Moreover, Tregs inhibit the transformation of Th0 cells to Th1 and Th17 cells, and maintain DCs in a semi-mature status by direct contact and IL-10 and TGF-β secretion
Fig. 2The molecular mechanism underlying the protective effect of H. pylori on IBD.
The uncommon structure and weak biological activation of H. pylori LPS leads to the inefficient activation of NF-κB and production of low levels of proinflammatory molecules. On the other hand, H. pylori activates NOD2 and ATG16L1 to activate autophagy, and the process of autophagosome formation results in the endocytosis of MHC II and inhibition of NF-κB. The disequilibrium between inflammation and autophagy (the latter is relatively enhanced by H. pylori infection) may have a key role in the formation of tolerogenic semi-mature DCs. Moreover, NOD2 forms trimers with p38 and hnRNP-A1, and the latter subsequently enters the nucleus to stimulate IL-10 transcription. IL-10 and TGF-β are required for the activation of the Smad signaling pathway and downstream protective mechanisms, including the inhibition of TLR expression and the NK-κB signaling pathway and the induction of CDX2 production and MUC2 transcription. In addition, NLRP3 and IL-18 are indispensable for the protective effect of H. pylori on experimental colitis. Due to the NF-κB-independent production mechanism, pro-IL-18 is stably expressed in the cytoplasm and is effectively produced by activated NLRP3 and caspase-1 after H. pylori infection
Prevalence of H. pylori infection in patients with IBD compared with the control population
| Author | IBD | NC |
| HP test | Control selection | Year | Country | |||
|---|---|---|---|---|---|---|---|---|---|---|
| Halme et al.[ | 30 (15%) | 170 (85%) | 43 (43%) | 57 (57%) | 28.3869 | < 0.0001 | Patients with acute dysentery | 1996 | Finland | |
| Pearce et al.[ | 16 (17.2%) | 77 (82.8%) | 10 (25%) | 30 (75%) | 1.0808 | 0.2985 | UBT* | IBS | 2000 | UK |
| Sukerek et al.[ | 2 (5.3%) | 36 (94.7%) | 5 (13.2%) | 33 (86.8%) | 1.4164 | 0.2340 | IHC* staining | NR* | 2001 | USA |
| Väre et al.[ | 67 (24%) | 212 (76%) | 26 (37%) | 44 (63%) | 4.9344 | 0.0263 | NR | 2001 | Finland | |
| Matsumura et al.[ | 15 (16.7%) | 75 (83.3%) | 211 (40.2%) | 314 (59.8%) | 18.2909 | < 0.0001 | Healthy volunteers | 2001 | Japan | |
| Feeney et al.[ | 26 (9.4%) | 250 (90.6%) | 43 (15.6%) | 233 (84.4%) | 4.7864 | 0.0287 | Non-IBD patients | 2002 | UK | |
| Parlak et al.[ | 74 (66.7%) | 37 (33.3%) | 49 (63.3%) | 28 (36.7%) | 0.1846 | 0.6675 | IHC staining | Non-IBD patients | 2002 | Turkey |
| Prónai et al.[ | 17 (12.8%) | 116 (87.2%) | 78 (39%) | 122 (61%) | 26.9294 | < 0.0001 | UBT | Non-IBD patients | 2004 | Hungary |
| Sladek et al.[ | 9 (9.6%) | 85 (90.4%) | 40 (38.4%) | 64 (61.6%) | 22.1234 | < 0.0001 | UBT | Non-IBD patients | 2006 | Poland |
| Song et al.[ | 80 (25.3%) | 236 (0.747%) | 166 (52.5%) | 150 (0.475%) | 49.23 | < 0.0001 | UBT | Healthy volunteers | 2009 | Korea |
| Pang et al.[ | 33 (31.1%) | 73 (68.9%) | 65 (61.3%) | 41 (38.7%) | 19.4314 | < 0.0001 | Healthy volunteers | 2009 | China | |
| Li et al.[ | 13 (26%) | 37 (74%) | 28 (56%) | 22 (44%) | 9.3024 | 0.0023 | UBT | Non-IBD patients | 2010 | China |
| Pellicano et al.[ | 12 (60%) | 8 (40%) | 12 (41%) | 17 (59%) | 1.6423 | 0.2000 | UBT | Non-IBD patients | 2010 | Italy |
| Zhang et al.[ | 40 (19.2%) | 168 (80.8%) | 203 (48.8%) | 213 (51.2%) | 50.98 | < 0.0001 | UBT | Healthy volunteers | 2011 | China |
| Sonnenberg and Genta[ | 48 (4.5%) | 1016 (95.5%) | 5801 (9%) | 58,650 (91%) | 25.9461 | < 0.0001 | IHC staining | Healthy volunteers | 2011 | USA |
| Xiang et al.[ | 62 (27.1%) | 167 (72.9%) | 119 (47.9%) | 129 (52.1%) | 22.1069 | < 0.0001 | UBT | Non-IBD patients | 2013 | China |
| Jin et al.[ | 47 (30.5%) | 106 (69.5%) | 69 (57.0%) | 52 (0.43%) | 19.1521 | < 0.0001 | UBT | Non-IBD patients | 2013 | China |
| Xin et al.[ | 33 (18.4%) | 146 (81.6%) | 43 (41.3%) | 61 (58.7%) | 17.5774 | < 0.0001 | UBT | IBS | 2013 | China |
| Ali et al.[ | 6 (1.7%) | 341 (98.3%) | 288 (29.3%) | 696 (70.7%) | 23.4916 | < 0.0001 | IHC staining | Non-IBD patients | 2013 | United States |
| Roka et al.[ | 6 (3.8%) | 153 (96.2%) | 160 (13.2%) | 1049 (86.8%) | 11.7957 | 0.0006 | UBT | Non-IBD patients | 2014 | Greece |
| Ma et al.[ | 38 (47.5%) | 42 (52.5%) | 53 (66.3%) | 27 (33.7%) | 5.7334 | 0.0166 | UBT | Healthy volunteers | 2016 | China |
| Shi et al.[ | 114 (69.0%) | 51 (0.31) | 146 (93.9%) | 9 (6.1%) | 33.0582 | < 0.0001 | UBT | Non-IBD patients | 2017 | China |
| Zhou et al.[ | 19 (32.8%) | 39 (67.2%) | 53 (66.3%) | 27 (33.7%) | 15.1143 | 0.0001 | UBT | Non-IBD patients | 2017 | China |
IBD inflammatory bowel disease, IHC immunohistochemistry, NR not reported by Kaakoush, UBT urea breath test
Meta-analysis of H. pylori infection rates in patients with IBD
| Author | Subgroup | Pooled RR/OR | 95% CI | Heterogeneity | Publication bias | ||
|---|---|---|---|---|---|---|---|
|
| |||||||
| Luther et al.[ | IBD | 0.64 | 0.54–0.75 | NR | 75.80% | < 0.001 | NR |
| CD | 0.6 | 0.40–0.72 | NR | NR | NR | ||
| UC | 0.75 | 0.62–0.90 | NR | NR | NR | ||
| Rokkas et al.[ | IBD | 0.62 | 0.55–0.71 | < 0.001 | 77% | < 0.001 | 0.15 |
| CD | 0.38 | 0.31–0.47 | < 0.001 | 59.50% | < 0.001 | ||
| UC | 0.53 | 0.42–0.67 | < 0.001 | 62% | < 0.001 | ||
| Wu et al.[ | IBD | 0.48 | 0.43–0.54 | < 0.001 | 21% | NR | 0.203 |
| CD | 0.43 | 0.37–0.50 | < 0.001 | 43.00% | NR | ||
| UC | 0.55 | 0.48–0.64 | < 0.001 | 0% | NR | ||
| Castañorodríguez et al.[ | IBD | 0.426 | 0.362–0.502 | < 0.001 | 62% | < 0.001 | NR |
| CD | 0.38 | 0.31–0.47 | < 0.001 | NR | NR | ||
| UC | 0.53 | 0.44–0.65 | < 0.001 | NR | NR | ||
CD Crohn’s disease, CI confidence interval, IBD inflammatory bowel disease, OR odds ratio, UC ulcerative colitis