The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Butyrate-producing Clostridium cluster XIVa species specifically colonize mucins in an in vitro gut model
Open accessAbstract
The human gut is colonized by a complex microbiota with multiple benefits. Although the surface-attached, mucosal microbiota has a unique composition and potential to influence human health, it remains difficult to study in vivo. Therefore, we performed an in-depth microbial characterization (human intestinal tract chip (HITChip)) of a recently developed dynamic in vitro gut model, which simulates both luminal and mucosal gut microbes (mucosal-simulator of human intestinal microbial ecosystem (M-SHIME)). Inter-individual differences among human subjects were confirmed and microbial patterns unique for each individual were preserved in vitro. Furthermore, in correspondence with in vivo studies, Bacteroidetes and Proteobacteria were enriched in the luminal content while Firmicutes rather colonized the mucin layer, with Clostridium cluster XIVa accounting for almost 60% of the mucin-adhered microbiota. Of the many acetate and/or lactate-converting butyrate producers within this cluster, Roseburia intestinalis and Eubacterium rectale most specifically colonized mucins. These 16S rRNA gene-based results were confirmed at a functional level as butyryl-CoA:acetate-CoA transferase gene sequences belonged to different species in the luminal as opposed to the mucin-adhered microbiota, with Roseburia species governing the mucosal butyrate production. Correspondingly, the simulated mucosal environment induced a shift from acetate towards butyrate. As not only inter-individual differences were preserved but also because compared with conventional models, washout of relevant mucin-adhered microbes was avoided, simulating the mucosal gut microbiota represents a breakthrough in modeling and mechanistically studying the human intestinal microbiome in health and disease. Finally, as mucosal butyrate producers produce butyrate close to the epithelium, they may enhance butyrate bioavailability, which could be useful in treating diseases, such as inflammatory bowel disease.
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
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Host-Bacterial Mutualism in the Human Intestine
Bäckhed, F., Ley, R. E., Sonnenburg, J. L., Peterson, D. A., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1104816 · Cited by 5,277
Akkermansia muciniphila gen. nov., sp. nov., a human intestinal mucin-degrading bacterium
Derrien, M., Vaughan, E. E., Plugge, C. M., & de Vos, W. M. (2004) · International Journal of Systematic and Evolutionary Microbiology · doi:10.1099/ijs.0.02873-0 · Cited by 2,094
How glycan metabolism shapes the human gut microbiota
Koropatkin, N. M., Cameron, E. A., & Martens, E. C. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2746 · Cited by 1,419
Png, C. W., Lindén, S. K., Gilshenan, K. S., Zoetendal, E. G., McSweeney, C. S., Sly, L. I., McGuckin, M. A., & Florin, T. H. J. (2010) · American Journal of Gastroenterology · doi:10.1038/ajg.2010.281 · Cited by 1,364 · cited 1×
“As colonization of mucus by different mucolytic species may be crucial with respect to human health (Png et al., 2010), the M-SHIME may be improved by adding a distal colon region.”
BackgroundSwidsinski, A., Weber, J., Loening-Baucke, V., Hale, L. P., & Lochs, H. (2005) · Journal of Clinical Microbiology · doi:10.1128/jcm.43.7.3380-3389.2005 · Cited by 894 · cited 2×
“Recent in vivo (Swidsinski et al., 2005; Sokol et al., 2008; Walker et al., 2011) and in vitro (Vermeiren et al., 2012) studies revealed that this disease correlates with lower levels of mucosal butyrate producers, including Roseburia and Faecalibacterium, indicating that a damaged mucus layer may…”
BackgroundZoetendal, E. G., von Wright, A., Vilpponen-Salmela, T., Ben-Amor, K., Akkermans, A. D. L., & de Vos, W. M. (2002) · Applied and Environmental Microbiology · doi:10.1128/aem.68.7.3401-3407.2002 · Cited by 868
Belenguer, A., Duncan, S. H., Calder, A. G., Holtrop, G., Louis, P., Lobley, G. E., & Flint, H. J. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.72.5.3593-3599.2006 · Cited by 856
Macfarlane, G. T., Macfarlane, S., & Gibson, G. R. (1998) · Microbial Ecology · doi:10.1007/s002489900072 · Cited by 539
Selective colonization of insoluble substrates by human faecal bacteria
Leitch, E. C. M., Walker, A. W., Duncan, S. H., Holtrop, G., & Flint, H. J. (2007) · Environmental Microbiology · doi:10.1111/j.1462-2920.2006.01186.x · Cited by 297
Biostructure of Fecal Microbiota in Healthy Subjects and Patients With Chronic Idiopathic Diarrhea
Swidsinski, A., Loening–Baucke, V., Verstraelen, H., Osowska, S., & Doerffel, Y. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.04.017 · Cited by 178
Cited by
Introduction to the human gut microbiota
Thursby, E., & Juge, N. (2017) · Biochemical Journal · doi:10.1042/bcj20160510 · Cited by 3,600
Bile acid-microbiota crosstalk in gastrointestinal inflammation and carcinogenesis
Jia, W., Xie, G., & Jia, W. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.119 · Cited by 1,924
Probiotics, gut microbiota, and their influence on host health and disease
Sánchez, B., Delgado, S., Blanco‐Míguez, A., Lourenço, A., Gueimonde, M., & Margolles, A. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201600240 · Cited by 1,104
The neuropharmacology of butyrate: the bread and butter of the microbiota-gut-brain axis
Stilling, R. M., van de Wouw, M., Clarke, G., Stanton, C., Dinan, T. G., & Cryan, J. F. (2016) · Neurochemistry International · doi:10.1016/j.neuint.2016.06.011 · Cited by 891
Imhann, F., Vich Vila, A., Bonder, M. J., Fu, J., Gevers, D., Visschedijk, M. C., Spekhorst, L. M., Alberts, R., Franke, L., van Dullemen, H. M., et al. (2018) · Gut · doi:10.1136/gutjnl-2016-312135 · Cited by 788
Metadata
- Authors
- Van den Abbeele, P., Belzer, C., Goossens, M., Kleerebezem, M., De Vos, W. M., Thas, O., De Weirdt, R., Kerckhof, F.-M., & Van de Wiele, T.
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-12-13
- Volume
- 7
- Issue
- 5
- Pages
- 949-961
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- OpenAlex
- W2051312690
- Cited by
- 638
- References
- 11
- FWCI
- 6.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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.