The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Dietary Fiber and Bacterial SCFA Enhance Oral Tolerance and Protect against Food Allergy through Diverse Cellular Pathways
Open accessAbstract
The incidence of food allergies in western countries has increased dramatically in recent decades. Tolerance to food antigens relies on mucosal CD103(+) dendritic cells (DCs), which promote differentiation of regulatory T (Treg) cells. We show that high-fiber feeding in mice improved oral tolerance and protected from food allergy. High-fiber feeding reshaped gut microbial ecology and increased the release of short-chain fatty acids (SCFAs), particularly acetate and butyrate. High-fiber feeding enhanced oral tolerance and protected against food allergy by enhancing retinal dehydrogenase activity in CD103(+) DC. This protection depended on vitamin A in the diet. This feeding regimen also boosted IgA production and enhanced T follicular helper and mucosal germinal center responses. Mice lacking GPR43 or GPR109A, receptors for SCFAs, showed exacerbated food allergy and fewer CD103(+) DCs. Dietary elements, including fiber and vitamin A, therefore regulate numerous protective pathways in the gastrointestinal tract, necessary for immune non-responsiveness to food antigens.
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Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
Commensal microbe-derived butyrate induces the differentiation of colonic regulatory T cells
Furusawa, Y., Obata, Y., Fukuda, S., Endo, T. A., Nakato, G., Takahashi, D., Nakanishi, Y., Uetake, C., Kato, K., Kato, T., et al. (2013) · Nature · doi:10.1038/nature12721 · Cited by 5,549
The Microbial Metabolites, Short-Chain Fatty Acids, Regulate Colonic T reg Cell Homeostasis
Smith, P. M., Howitt, M. R., Panikov, N., Michaud, M., Gallini, C. A., Bohlooly-Y, M., Glickman, J. N., & Garrett, W. S. (2013) · Science · doi:10.1126/science.1241165 · Cited by 5,413
Hay fever, hygiene, and household size.
Strachan, D. P. (1989) · BMJ · doi:10.1136/bmj.299.6710.1259 · Cited by 5,054
Metabolites produced by commensal bacteria promote peripheral regulatory T-cell generation
Arpaia, N., Campbell, C., Fan, X., Dikiy, S., van der Veeken, J., deRoos, P., Liu, H., Cross, J. R., Pfeffer, K., Coffer, P. J., et al. (2013) · Nature · doi:10.1038/nature12726 · Cited by 4,838
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
Induction of Colonic Regulatory T Cells by Indigenous Clostridium Species
Atarashi, K., Tanoue, T., Shima, T., Imaoka, A., Kuwahara, T., Momose, Y., Cheng, G., Yamasaki, S., Saito, T., Ohba, Y., et al. (2011) · Science · doi:10.1126/science.1198469 · Cited by 3,752
Regulation of inflammatory responses by gut microbiota and chemoattractant receptor GPR43
Maslowski, K. M., Vieira, A. T., Ng, A., Kranich, J., Sierro, F., Yu, D., Schilter, H. C., Rolph, M. S., Mackay, F., Artis, D., et al. (2009) · Nature · doi:10.1038/nature08530 · Cited by 3,241
Self-citationBifidobacteria can protect from enteropathogenic infection through production of acetate
Fukuda, S., Toh, H., Hase, K., Oshima, K., Nakanishi, Y., Yoshimura, K., Tobe, T., Clarke, J. M., Topping, D. L., Suzuki, T., et al. (2011) · Nature · doi:10.1038/nature09646 · Cited by 2,387
Cited by
Cryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286
Short-chain fatty acids: Linking diet, the microbiome and immunity
Mann, E. R., Lam, Y. K., & Uhlig, H. H. (2024) · Nature reviews. Immunology · doi:10.1038/s41577-024-01014-8 · Cited by 1,595
Short chain fatty acids in human gut and metabolic health
Blaak, E. E., Canfora, E. E., Theis, S., Frost, G., Groen, A. K., Mithieux, G., Nauta, A., Scott, K., Stahl, B., van Harsselaar, J., et al. (2020) · Beneficial Microbes · doi:10.3920/bm2020.0057 · Cited by 1,103
Mariño, E., Richards, J. L., McLeod, K. H., Stanley, D., Yap, Y. A., Knight, J., McKenzie, C., Kranich, J., Oliveira, A. C., Rossello, F. J., et al. (2017) · Nature Immunology · doi:10.1038/ni.3713 · Cited by 686
Self-citationGill, P. A., van Zelm, M. C., Muir, J. G., & Gibson, P. R. (2018) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.14689 · Cited by 520
Metadata
- Authors
- Tan, J., McKenzie, C., Vuillermin, P. J., Goverse, G., Vinuesa, C. G., Mebius, R. E., Macia, L., & Mackay, C. R.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 15
- Issue
- 12
- Pages
- 2809-2824
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2469218097
- Cited by
- 667
- References
- 21
- FWCI
- 45.22
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Dietary Fiber and Bacterial SCFA Enhance Oral Tolerance and Protect against Food Allergy through Diverse Cellular Pathways. https://app.cochat.ai/papers/10.1016/j.celrep.2016.05.047
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- Tan, J., McKenzie, C., Vuillermin, P. J., Goverse, G., Vinuesa, C. G., Mebius, R. E., Macia, L., & Mackay, C. R. (2016). Dietary Fiber and Bacterial SCFA Enhance Oral Tolerance and Protect against Food Allergy through Diverse Cellular Pathways. Cell Reports. https://doi.org/10.1016/j.celrep.2016.05.047
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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.
