The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
A Weaning Reaction to Microbiota Is Required for Resistance to Immunopathologies in the Adult
Open accessAbstract
Microbes colonize all body surfaces at birth and participate in the development of the immune system. In newborn mammals, the intestinal microbiota is first shaped by the dietary and immunological components of milk and then changes upon the introduction of solid food during weaning. Here, we explored the reactivity of the mouse intestinal immune system during the first weeks after birth and into adulthood. At weaning, the intestinal microbiota induced a vigorous immune response—a "weaning reaction"—that was programmed in time. Inhibition of the weaning reaction led to pathological imprinting and increased susceptibility to colitis, allergic inflammation, and cancer later in life. Prevention of this pathological imprinting was associated with the generation of RORγt + regulatory T cells, which required bacterial and dietary metabolites—short-chain fatty acids and retinoic acid. Thus, the weaning reaction to microbiota is required for immune ontogeny, the perturbation of which leads to increased susceptibility to immunopathologies later in life.
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.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This rapid development at weaning is observed across species and was recently shown to be critical for protection against later development of immunopathology in mice (Al Nabhani et al., 2019).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Al Nabhani et al., 2019
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“However, even after weaning, the microbiota continues to change (Al Nabhani et al., 2019).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Al Nabhani et al., 2019
Experimental — accuracy not yet measuredIn the citing paper
“Altering the timing of weaning could result in a pathological imprinting of the immune response and increased susceptibility to later immunopathologies (270).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [270]
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
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
Li, W.-Z., & Godzik, A. (2006) · Bioinform. · doi:10.1093/bioinformatics/btl158 · Cited by 10,996
The gut microbiota shapes intestinal immune responses during health and disease
Round, J. L., & Mazmanian, S. K. (2009) · Nature Reviews Immunology · doi:10.1038/nri2515 · Cited by 5,029
The Ribosomal Database Project: improved alignments and new tools for rRNA analysis
Cole, J. R., Wang, Q., Cardenas, E., Fish, J., Chai, B., Farris, R. J., Kulam-Syed-Mohideen, A. S., McGarrell, D. M., Marsh, T. L., Garrity, G. M., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn879 · Cited by 4,873
Induction of Intestinal Th17 Cells by Segmented Filamentous Bacteria
Ivanov, I. I., Atarashi, K., Manel, N., Brodie, E. L., Shima, T., Karaoz, U., Wei, D., Goldfarb, K. C., Santee, C. A., Lynch, S. V., et al. (2009) · Cell · doi:10.1016/j.cell.2009.09.033 · Cited by 4,554
Regulatory T cells: mechanisms of differentiation and function
Josefowicz, S. Z., Lu, L.-F., & Rudensky, A. Y. (2012) · Annual Review of Immunology · doi:10.1146/annurev.immunol.25.022106.141623 · Cited by 2,866
The Effect of Infections on Susceptibility to Autoimmune and Allergic Diseases
Bach, J. (2002) · New England Journal of Medicine · doi:10.1056/nejmra020100 · Cited by 2,723
Diet–microbiota interactions as moderators of human metabolism
Sonnenburg, J. L., & Bäckhed, F. (2016) · Nature · doi:10.1038/nature18846 · Cited by 2,257
How colonization by microbiota in early life shapes the immune system
Gensollen, T., Iyer, S. S., Kasper, D. L., & Blumberg, R. S. (2016) · Science · doi:10.1126/science.aad9378 · Cited by 2,044
Microbial Exposure During Early Life Has Persistent Effects on Natural Killer T Cell Function
Olszak, T., An, D., Zeissig, S., Vera, M. P., Richter, J., Franke, A., Glickman, J. N., Siebert, R., Baron, R. M., Kasper, D. L., et al. (2012) · Science · doi:10.1126/science.1219328 · Cited by 1,661
Cited by
Sorted by citations
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
Gut microbiota-derived metabolites as key actors in inflammatory bowel disease
Lavelle, A., & Sokol, H. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0258-z · Cited by 2,015
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
Gut Microbiota and Immune System Interactions
Yoo, J. Y., Groer, M. E., Dutra, S. V. O., Sarkar, A., & McSkimming, D. I. (2020) · Microorganisms · doi:10.3390/microorganisms8101587 · Cited by 1,110
The microbiota-gut-brain axis: from motility to mood
Margolis, K. G., Cryan, J. F., & Mayer, E. A. (2021) · Gastroenterology · doi:10.1053/j.gastro.2020.10.066 · Cited by 999
Metadata
- Authors
- Al Nabhani, Z., Dulauroy, S., Marques, R., Cousu, C., Al Bounny, S., Déjardin, F., Sparwasser, T., Bérard, M., Cerf-Bensussan, N., & Eberl, G.
- Affiliations
- Inserm (FR)
- Johannes Gutenberg University Mainz (DE)
- Corresponding author
- Eberl, Gérard
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 50
- Issue
- 5
- Pages
- 1276-1288.e5
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W2924644564
- Cited by
- 679
- References
- 48
- Citations by year
- 2026: 87 · 2025: 99 · 2024: 109 · 2023: 100 · 2022: 89 · 2021: 98 · 2020: 64 · 2019: 33
- FWCI
- 23.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Immunity (publishedVersion, other-oa)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by-nc)
- Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
- Funders
- Institut Pasteur
- INSERM
- Association François Aupetit
- Crohn's and Colitis Foundation of America
- European Crohn’s and Colitis Organisation
- Fondation pour la Recherche Médicale
- Janssen
- Kenneth Rainin Foundation
- 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
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Keywords
- gut microbiota, immune ontogeny, immune system development, colitis, allergic inflammation, cancer susceptibility, short-chain fatty acids, retinoic acid, dietary metabolites, microbial colonization
- MeSH terms
- Gastrointestinal Microbiome, Animals, Animals, Newborn, Fatty Acids, Volatile, Intestinal Mucosa, Mice, Inbred C57BL, Tretinoin, Weaning, T-Lymphocytes, Regulatory, Mice, Nuclear Receptor Subfamily 1, Group F, Member 3
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