The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Inflammatory bowel disease: Pathogenesis
Open accessAbstract
Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, is characterized by chronic relapsing intestinal inflammation. It has been a worldwide health-care problem with a continually increasing incidence. It is thought that IBD results from an aberrant and continuing immune response to the microbes in the gut, catalyzed by the genetic susceptibility of the individual. Although the etiology of IBD remains largely unknown, it involves a complex interaction between the genetic, environmental or microbial factors and the immune responses. Of the four components of IBD pathogenesis, most rapid progress has been made in the genetic study of gut inflammation. The latest internationally collaborative studies have ascertained 163 susceptibility gene loci for IBD. The genes implicated in childhood-onset and adult-onset IBD overlap, suggesting similar genetic predispositions. However, the fact that genetic factors account for only a portion of overall disease variance indicates that microbial and environmental factors may interact with genetic elements in the pathogenesis of IBD. Meanwhile, the adaptive immune response has been classically considered to play a major role in the pathogenesis of IBD, as new studies in immunology and genetics have clarified that the innate immune response maintains the same importance in inducing gut inflammation. Recent progress in understanding IBD pathogenesis sheds lights on relevant disease mechanisms, including the innate and adaptive immunity, and the interactions between genetic factors and microbial and environmental cues. In this review, we provide an update on the major advances that have occurred in above areas.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Hao (2015) · doi:10.1002/14651858 · Cited by 11,321
Korn, T., Bettelli, E., Oukka, M., & Kuchroo, V. K. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132710 · Cited by 4,873
Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease
The International IBD Genetics Consortium (IIBDGC), Jostins, L., Ripke, S., Weersma, R. K., Duerr, R. H., McGovern, D. P., Hui, K. Y., Lee, J. C., Philip Schumm, L., Sharma, Y., et al. (2012) · Nature · doi:10.1038/nature11582 · Cited by 4,722
Unravelling the pathogenesis of inflammatory bowel disease
Xavier, R. J., & Podolsky, D. K. (2007) · Nature · doi:10.1038/nature06005 · Cited by 4,364
Abraham, C., & Cho, J. H. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0804647 · Cited by 2,712
Rioux, J. D., Xavier, R. J., Taylor, K. D., Silverberg, M. S., Goyette, P., Huett, A., Green, T., Kuballa, P., Barmada, M. M., Datta, L. W., et al. (2007) · Nature Genetics · doi:10.1038/ng2032 · Cited by 1,769
The mystery of missing heritability: Genetic interactions create phantom heritability
Zuk, O., Hechter, E., Sunyaev, S. R., & Lander, E. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1119675109 · Cited by 1,542
Travassos, L. H., Carneiro, L. A. M., Ramjeet, M., Hussey, S., Kim, Y.-G., Magalhães, J. G., Yuan, L., Soares, F., Chea, E., Le Bourhis, L., et al. (2010) · Nature Immunology · doi:10.1038/ni.1823 · Cited by 1,306
Dysbiosis of the faecal microbiota in patients with Crohn’s disease and their unaffected relatives
Joossens, M., Huys, G., Cnockaert, M., De Preter, V., Verbeke, K., Rutgeerts, P., Vandamme, P., & Vermeire, S. (2011) · Gut · doi:10.1136/gut.2010.223263 · Cited by 1,063
National Institute of Diabetes and Digestive Kidney Diseases Inflammatory Bowel Disease Genetics Consortium (NIDDK IBDGC), Rivas, M. A., United Kingdom Inflammatory Bowel Disease Genetics Consortium, International Inflammatory Bowel Disease Genetics Consortium, Beaudoin, M., Gardet, A., Stevens, C., Sharma, Y., Zhang, C. K., Boucher, G., et al. (2011) · Nature Genetics · doi:10.1038/ng.952 · Cited by 771
Predicting relapse in Crohn’s disease: a biopsychosocial model
Bitton, A., Dobkin, P. L., Edwardes, M. D., Sewitch, M. J., Meddings, J. B., Rawal, S., Cohen, A., Vermeire, S., Dufresne, L., Franchimont, D., et al. (2008) · Gut · doi:10.1136/gut.2007.134817 · Cited by 254
Unstable Composition of the Fecal Microbiota in Ulcerative Colitis During Clinical Remission
Martinez, C., Antolin, M., Santos, J., Torrejon, A., Casellas, F., Borruel, N., Guarner, F., & Malagelada, J.-R. (2008) · The American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2007.01592.x · Cited by 208
Momozawa, Y., Mni, M., Nakamura, K., Coppieters, W., Almer, S., Amininejad, L., Cleynen, I., Colombel, J.-F., de Rijk, P., Dewit, O., et al. (2011) · Nature Genetics · doi:10.1038/ng.733 · Cited by 189
Psychological interventions for treatment of inflammatory bowel disease
Timmer, A., Preiss, J. C., Motschall, E., Rücker, G., Jantschek, G., & Moser, G. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006913.pub2 · Cited by 187
Mood and nonmood components of perceived stress and exacerbation of Crohnʼs disease
Cámara, R. J. A., Schoepfer, A. M., Pittet, V., Begré, S., & von Känel, R. (2011) · Inflammatory Bowel Diseases · doi:10.1002/ibd.21623 · Cited by 67
Cited by
Gao, X., Cao, Q., Cheng, Y., Zhao, D., Wang, Z., Yang, H., Wu, Q., You, L., Wang, Y., Lin, Y., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720696115 · Cited by 400
NLRP6 Protects Il10 Mice from Colitis by Limiting Colonization of Akkermansia muciniphila
Seregin, S. S., Golovchenko, N., Schaf, B., Chen, J., Pudlo, N. A., Mitchell, J., Baxter, N. T., Zhao, L., Schloss, P. D., Martens, E. C., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.03.080 · Cited by 386
A Review of the Anti-Inflammatory Effects of Rosmarinic Acid on Inflammatory Diseases
Luo, C., Zou, L., Sun, H., Peng, J., Gao, C., Bao, L., Ji, R., Jin, Y., & Sun, S. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00153 · Cited by 336
Rangan, P., Choi, I., Wei, M., Navarrete, G., Guen, E., Brandhorst, S., Enyati, N., Pasia, G., Maesincee, D., Ocon, V., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.02.019 · Cited by 312
“Because genetic factors for IBD are currently not well-established and only account for a portion of IBD, with one study finding that only 12% of UC patients have a familial history of IBD (Zhang and Li, 2014; Childers et al., 2014), the chronic DSS mouse model is particularly appropriate to model IBDs triggered by en…”
BackgroundDiet and nutritional factors in inflammatory bowel diseases
Owczarek, D. (2016) · World Journal of Gastroenterology · doi:10.3748/wjg.v22.i3.895 · Cited by 263
Metadata
- Authors
- Zhang, Y.-Z.
- Venue
- World Journal of Gastroenterology
- Publisher
- Baishideng Publishing Group Inc.
- Published
- 2014
- Volume
- 20
- Issue
- 1
- Pages
- 91
- ISSN
- 1007-9327 (ISSN-L)
- OpenAlex
- W1986079650
- Cited by
- 1,507
- References
- 16
- FWCI
- 27.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
