The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Parasutterella, in association with irritable bowel syndrome and intestinal chronic inflammation
Abstract
Background and Aim: Irritable bowel syndrome (IBS) is a highly prevalent chronic functional gastrointestinal disorder. Recent studies have showed increasing important role of gut microbiota in the pathophysiological changes of IBS. Our study aims to elaborate the association between intestinal flora with the genesis and the development of IBS. Methods: Illumina high‐throughput sequencing technology was applied to investigate microbial communities of IBS patients and healthy donors. Stool specimens from the IBS‐D patients were equally premixed and implanted into germ free C57B/6 mice to construct IBS animal model, and the normal group was also transplanted with normal premixed feces. The post‐transplant defecation and intra‐epithelial lymphocyte counts were evaluated. Microbial communities were also checked by the illumina high‐throughput sequencing technology. Results: Fifteen genuses significantly different were found expressed in the gut flora of IBS patients, and six genuses showed significantly different abundances between the stool specimens of mice of IBS group and normal group. Among these differences, Parasutterella expression was remarkably different in both screening and validation experiments and also related to chronic intestinal inflammation; therefore, Parasutterella expression is considered in association with the development and progression of IBS. Conclusion: Parasutterella may be related with the genesis and development of IBS and also associated with chronic intestinal inflammation in IBS patients.
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
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
Global Prevalence of and Risk Factors for Irritable Bowel Syndrome: A Meta-analysis
Lovell, R. M., & Ford, A. C. (2012) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2012.02.029 · Cited by 2,155
Dysbiosis of the gut microbiota in disease
Carding, S., Verbeke, K., Vipond, D. T., Corfe, B. M., & Owen, L. J. (2015) · Microbial Ecology in Health & Disease · doi:10.3402/mehd.v26.26191 · Cited by 1,710
The epidemiology of irritable bowel syndrome
Card, T., Canavan, C., & West, J. (2014) · Clinical Epidemiology · doi:10.2147/clep.s40245 · Cited by 889
An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota
Jeffery, I. B., O'Toole, P. W., Öhman, L., Claesson, M. J., Deane, J., Quigley, E. M. M., & Simrén, M. (2012) · Gut · doi:10.1136/gutjnl-2011-301501 · Cited by 835
Irritable bowel syndrome: a gut microbiota-related disorder?
Bhattarai, Y., Muniz Pedrogo, D. A., & Kashyap, P. C. (2017) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00338.2016 · Cited by 294
Liu, H.-N., Wu, H., Chen, Y.-Z., Chen, Y.-J., Shen, X.-Z., & Liu, T.-T. (2017) · Digestive and Liver Disease · doi:10.1016/j.dld.2017.01.142 · Cited by 254
Self-citation
Cited by
Walter, J., Armet, A. M., Finlay, B. B., & Shanahan, F. (2020) · Cell · doi:10.1016/j.cell.2019.12.025 · Cited by 596
Inulin ameliorates schizophrenia via modulation of the gut microbiota and anti-inflammation in mice
Guo, L., Xiao, P., Zhang, X., Yang, Y., Yang, M., Wang, T., Lu, H., Tian, H., Wang, H., & Liu, J. (2021) · Food & Function · doi:10.1039/d0fo02778b · Cited by 74
Wang, M., Zhu, Z., Lin, X., Li, H., Wen, C., Bao, J., & He, Z. (2021) · Arthritis Research & Therapy · doi:10.1186/s13075-021-02620-w · Cited by 52
Zhu, Y., Huan, F., Wang, J., Xie, X., Yu, G., Wang, X., Jiang, L., Gao, R., Xiao, H., Ding, H., et al. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.0c00475 · Cited by 48
Different Reactions in Each Enterotype Depending on the Intake of Probiotic Yogurt Powder
Lee, S., You, H., Lee, M., Kim, D., Jung, S., Park, Y., & Hyun, S. (2021) · Microorganisms · doi:10.3390/microorganisms9061277 · Cited by 16
Correlation between Intestinal Microflora in Irritable Bowel Syndrome and Severity
Ji, M., Huang, H., & Lan, X. (2022) · Disease Markers · doi:10.1155/2022/1031844 · Cited by 13
Retracted
Metadata
- Authors
- Chen, Y., Wu, H., Wu, S., Lu, N., Wang, Y., Liu, H., Dong, L., Liu, T., & Shen, X.
- Venue
- Journal of Gastroenterology and Hepatology
- Publisher
- Wiley
- Published
- 2018-06-03
- Volume
- 33
- Issue
- 11
- Pages
- 1844-1852
- ISSN
- 0815-9319 (ISSN-L)
- 1440-1746
- OpenAlex
- W2801096943
- Cited by
- 284
- References
- 7
- FWCI
- 6.75
- Type
- journal article
- Language
- en
- Open access
- closed
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.