The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
SCFAs strongly stimulate PYY production in human enteroendocrine cells
Open accessAbstract
Peptide-YY (PYY) and Glucagon-Like Peptide-1 (GLP-1) play important roles in the regulation of food intake and insulin secretion, and are of translational interest in the field of obesity and diabetes. PYY production is highest in enteroendocrine cells located in the distal intestine, mirroring the sites where high concentrations of short chain fatty acids (SCFAs) are produced by gut microbiota. We show here that propionate and butyrate strongly increased expression of PYY but not GCG in human cell line and intestinal primary culture models. The effect was predominantly attributable to the histone deacetylase inhibitory activity of SCFA and minor, but significant contributions of FFA2 (GPR43). Consistent with the SCFA-dependent elevation of PYY gene expression, we also observed increased basal and stimulated PYY hormone secretion. Interestingly, the transcriptional stimulation of PYY was specific to human-derived cell models and not reproduced in murine primary cultures. This is likely due to substantial differences in PYY gene structure between mouse and human. In summary, this study revealed a strong regulation of PYY production by SCFA that was evident in humans but not mice, and suggests that high fibre diets elevate plasma concentrations of the anorexigenic hormone PYY, both by targeting gene expression and hormone secretion.
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Cites
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Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
Self-citationBrown, A. J., Goldsworthy, S. M., Barnes, A. A., Eilert, M. M., Tcheang, L., Daniels, D., Muir, A. I., Wigglesworth, M. J., Kinghorn, I., Fraser, N. J., et al. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m211609200 · Cited by 2,409
Tolhurst, G., Heffron, H., Lam, Y. S., Parker, H. E., Habib, A. M., Diakogiannaki, E., Cameron, J., Grosse, J., Reimann, F., & Gribble, F. M. (2012) · Diabetes · doi:10.2337/db11-1019 · Cited by 2,404
Self-citationLe Poul, E., Loison, C., Struyf, S., Springael, J.-Y., Lannoy, V., Decobecq, M.-E., Brezillon, S., Dupriez, V., Vassart, G., Van Damme, J., et al. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m301403200 · Cited by 1,651
Samuel, B. S., Shaito, A., Motoike, T., Rey, F. E., Backhed, F., Manchester, J. K., Hammer, R. E., Williams, S. C., Crowley, J., Yanagisawa, M., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808567105 · Cited by 1,564
Inhibition of Histone Deacetylase Activity by Butyrate
Davie, J. R. (2003) · The Journal of Nutrition · doi:10.1093/jn/133.7.2485s · Cited by 1,515
Glucose Sensing in L Cells: A Primary Cell Study
Reimann, F., Habib, A. M., Tolhurst, G., Parker, H. E., Rogers, G. J., & Gribble, F. M. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.11.002 · Cited by 733
Self-citationHDACs, histone deacetylation and gene transcription: from molecular biology to cancer therapeutics
Gallinari, P., Marco, S. D., Jones, P., Pallaoro, M., & Steinkühler, C. (2007) · Cell Research · doi:10.1038/sj.cr.7310149 · Cited by 678
Steinert, R. E., Feinle-Bisset, C., Asarian, L., Horowitz, M., Beglinger, C., & Geary, N. (2017) · Physiological Reviews · doi:10.1152/physrev.00031.2014 · Cited by 578
Cited by
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Gut microbiota-derived metabolites as key actors in inflammatory bowel disease
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Gut microbial metabolites in obesity, NAFLD and T2DM
Canfora, E. E., Meex, R. C. R., Venema, K., & Blaak, E. E. (2019) · Nature Reviews Endocrinology · doi:10.1038/s41574-019-0156-z · Cited by 1,493
Short-Chain Fatty-Acid-Producing Bacteria: Key Components of the Human Gut Microbiota
Fusco, W., Lorenzo, M. B., Cintoni, M., Porcari, S., Rinninella, E., Kaitsas, F., Lener, E., Mele, M. C., Gasbarrini, A., Collado, M. C., et al. (2023) · Nutrients · doi:10.3390/nu15092211 · Cited by 1,243
Metadata
- Authors
- Larraufie, P., Martin-Gallausiaux, C., Lapaque, N., Dore, J., Gribble, F. M., Reimann, F., & Blottiere, H. M.
- Venue
- Scientific Reports
- Published
- 2018-01-08
- Volume
- 8
- Issue
- 1
- Pages
- 74-74
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2781627604
- Cited by
- 450
- References
- 12
- FWCI
- 15.10
- Type
- journal article
- Language
- en
- Open access
- gold
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- Larraufie, P., Martin-Gallausiaux, C., Lapaque, N., Dore, J., Gribble, F. M., Reimann, F., & Blottiere, H. M. (2018). SCFAs strongly stimulate PYY production in human enteroendocrine cells. Scientific Reports. https://doi.org/10.1038/s41598-017-18259-0
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