The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Microbiota-Derived Metabolites Suppress Arthritis by Amplifying Aryl-Hydrocarbon Receptor Activation in Regulatory B Cells
Open accessAbstract
The differentiation of IL-10-producing regulatory B cells (Bregs) in response to gut-microbiota-derived signals supports the maintenance of tolerance. However, whether microbiota-derived metabolites can modulate Breg suppressive function remains unknown. Here, we demonstrate that rheumatoid arthritis (RA) patients and arthritic mice have a reduction in microbial-derived short-chain fatty acids (SCFAs) compared to healthy controls and that in mice, supplementation with the SCFA butyrate reduces arthritis severity. Butyrate supplementation suppresses arthritis in a Breg-dependent manner by increasing the level of the serotonin-derived metabolite 5-Hydroxyindole-3-acetic acid (5-HIAA), which activates the aryl-hydrocarbon receptor (AhR), a newly discovered transcriptional marker for Breg function. Thus, butyrate supplementation via AhR activation controls a molecular program that supports Breg function while inhibiting germinal center (GC) B cell and plasmablast differentiation. Our study demonstrates that butyrate supplementation may serve as a viable therapy for the amelioration of systemic autoimmune disorders.
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
Figures








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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For instance, butyrate has been shown to restrict inflammation by promoting the differentiation of Treg cells and supporting the functions of regulatory B cells.706–708”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [706]
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
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., & Glöckner, F. O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1219 · Cited by 33,055
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
VSEARCH: a versatile open source tool for metagenomics
(2016) · doi:10.7717/peerj.2584 · Cited by 10,773
Near-optimal probabilistic RNA-seq quantification
Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016) · Nature Biotechnology · doi:10.1038/nbt.3519 · Cited by 9,723
KEGG as a reference resource for gene and protein annotation
Kanehisa, M., Sato, Y., Kawashima, M., Furumichi, M., & Tanabe, M. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1070 · Cited by 7,387
Cited by
Sorted by citations
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
“Furthermore, butyrate promotes the suppressive capacity of regulatory B cells by amplifying AHR activation, leading to a decrease in the severity of arthritis in experimental models 99 .”
Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases
Loh, J. S., Mak, W. Q., Tan, L. K. S., Ng, C. X., Chan, H. H., Yeow, S. H., Foo, J. B., Ong, Y. S., How, C. W., & Khaw, K. Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01743-1 · Cited by 1,193
The role of short-chain fatty acids in immunity, inflammation and metabolism
Yao, Y., Cai, X. T., Fei, W., Ye, Y., Zhao, M., & Zheng, C. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1854675 · Cited by 793
“…unfavorable to the host, such as excess amino acids when the supply of fermentable protein or cellulose exceeds supply (Cummings and Macfarlane 1991; Wall et al. 2009), which in turn will lead to reduced activity of the fermentation of the microbial community to produce SCFAs (Russell et al. 2011).”
BackgroundYang, W., & Cong, Y. (2021) · Cellular and Molecular Immunology · doi:10.1038/s41423-021-00661-4 · Cited by 715
Gut-Microbiota-Derived Metabolites Maintain Gut and Systemic Immune Homeostasis
Wang, J., Zhu, N., Su, L., Gao, Y., & Yang, R. (2023) · Cells · doi:10.3390/cells12050793 · Cited by 649
Metadata
- Authors
- Rosser, E. C., Piper, C. J. M., Matei, D. E., Blair, P. A., Rendeiro, A. F., Orford, M., Alber, D. G., Krausgruber, T., Catalan, D., Klein, N., Manson, J. J., Drozdov, I., Bock, C., Wedderburn, L. R., Eaton, S., & Mauri, C.
- Affiliations
- Great Ormond Street Hospital (GB)
- University College London (GB)
- Austrian Academy of Sciences (AT)
- University College Hospital (GB)
- Corresponding author
- Rosser, Elizabeth C.
- Mauri, Claudia
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 31
- Issue
- 4
- Pages
- 837-851.e10
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC7156916
- OpenAlex
- W3013317600
- Cited by
- 579
- References
- 75
- Citations by year
- 2026: 73 · 2025: 103 · 2024: 112 · 2023: 104 · 2022: 88 · 2021: 70 · 2020: 27
- FWCI
- 23.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Universidad de Chile (submittedVersion, cc-by-nc-nd)
- Funders
- Weizmann Institute of Science
- Albert-Ludwigs-Universität Freiburg
- Bill and Melinda Gates Foundation
- Versus Arthritis (21140, 21141, 21593)
- Manchester Biomedical Research Centre
- Rosetrees Trust (M536)
- NIHR Bristol Biomedical Research Centre
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Rheumatology › Rheumatoid Arthritis Research and Therapies
- Keywords
- rheumatoid arthritis, regulatory B cells, gut microbiota, short-chain fatty acids, butyrate, aryl hydrocarbon receptor, 5-hydroxyindoleacetic acid, serotonin metabolism, germinal center B cells, plasmablast differentiation, IL-10, autoimmune disease therapy, dietary supplementation
- MeSH terms
- Gastrointestinal Microbiome, Animals, Arthritis, Rheumatoid, Butyrates, Cells, Cultured, Fatty Acids, Volatile, Female, Humans, Hydroxyindoleacetic Acid, Male, Mice, Inbred C57BL, Middle Aged, Receptors, Aryl Hydrocarbon, Mice, Basic Helix-Loop-Helix Proteins, B-Lymphocytes, Regulatory
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