The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Poor Repair of Skeletal Muscle in Aging Mice Reflects a Defect in Local, Interleukin-33-Dependent Accumulation of Regulatory T Cells
Open accessAbstract
SUMMARY Normal repair of skeletal muscle requires local expansion of a special population of Foxp3+CD4+ regulatory T (Treg) cells. Such cells failed to accumulate in acutely injured muscle of old mice, known to undergo ineffectual repair. This defect reflected reduced recruitment of Treg cells to injured muscle, as well as less proliferation and retention therein. Interleukin (IL)-33 regulated muscle Treg cell homeostasis in young mice, and its administration to old mice ameliorated their deficits in Treg cell accumulation and muscle regeneration. The major IL-33-expressing cells in skeletal muscle displayed a constellation of markers diagnostic of fibro/adipogenic progenitor cells, and were often associated with neural structures, including nerve fibers, nerve bundles and muscle spindles, which are stretch-sensitive mechanoreceptors important for proprioception. IL-33+ cells were more frequent after muscle injury, and were reduced in old mice. IL-33 is well situated to relay signals between the nervous and immune systems within the muscle context.
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
Bettelli, E., Carrier, Y., Gao, W., Korn, T., Strom, T. B., Oukka, M., Weiner, H. L., & Kuchroo, V. K. (2006) · Nature · doi:10.1038/nature04753 · Cited by 6,992
Rejuvenation of aged progenitor cells by exposure to a young systemic environment
Conboy, I. M., Conboy, M. J., Wagers, A. J., Girma, E. R., Weissman, I. L., & Rando, T. A. (2005) · Nature · doi:10.1038/nature03260 · Cited by 2,287
Self-citationFeuerer, M., Herrero, L., Cipolletta, D., Naaz, A., Wong, J., Nayer, A., Lee, J., Goldfine, A. B., Benoist, C., Shoelson, S., et al. (2009) · Nature Medicine · doi:10.1038/nm.2002 · Cited by 2,145
Self-citationArnold, L., Henry, A., Poron, F., Baba-Amer, Y., van Rooijen, N., Plonquet, A., Gherardi, R. K., & Chazaud, B. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20070075 · Cited by 2,002
The interleukin-1 family: back to the future
Garlanda, C., Dinarello, C. A., & Mantovani, A. (2013) · Immunity · doi:10.1016/j.immuni.2013.11.010 · Cited by 1,945 · cited 2×
“Although initial studies had emphasized the role of this cytokine in driving T helper 2 (Th2) cell responses, primarily through an impact on type 2 innate lymphoid cells (ILCs) and anti-inflammatory macrophages (Garlanda et al., 2013; Molofsky et al., 2013), more recent work highlighted its ability to expand Treg cell…”
Muscle injury activates resident fibro/adipogenic progenitors that facilitate myogenesis
Joe, A. W. B., Yi, L., Natarajan, A., Le Grand, F., So, L., Wang, J., Rudnicki, M. A., & Rossi, F. M. V. (2010) · Nature Cell Biology · doi:10.1038/ncb2015 · Cited by 1,690
Regulatory T Cell-Derived Interleukin-10 Limits Inflammation at Environmental Interfaces
Rubtsov, Y. P., Rasmussen, J. P., Chi, E. Y., Fontenot, J., Castelli, L., Ye, X., Treuting, P., Siewe, L., Roers, A., Henderson, W. R., et al. (2008) · Immunity · doi:10.1016/j.immuni.2008.02.017 · Cited by 1,586 · cited 2×
“Foxp3-IRESGFP (Bettelli et al., 2006), Kaede/B6 (Tomura et al., 2008), Foxp3-creYFP (Rubtsov et al., 2008), and Il1rl1-flox (Chen et al., 2015) mice were obtained from V. Kuchroo, O. Kanagawa, A. Rudensky, and R. Lee, respectively.”
Increased Wnt signaling during aging alters muscle stem cell fate and increases fibrosis
Brack, A. S., Conboy, M. J., Roy, S., Lee, M., Kuo, C. J., Keller, C., & Rando, T. A. (2007) · Science · doi:10.1126/science.1144090 · Cited by 1,564
Uezumi, A., Fukada, S.-I., Yamamoto, N., Takeda, S., & Tsuchida, K. (2010) · Nature Cell Biology · doi:10.1038/ncb2014 · Cited by 1,308
Murphy, M. M., Lawson, J. A., Mathew, S. J., Hutcheson, D. A., & Kardon, G. (2011) · Development · doi:10.1242/dev.064162 · Cited by 1,249
Cited by
The far-reaching scope of neuroinflammation after traumatic brain injury
Simon, D. W., McGeachy, M. J., Bayır, H., Clark, R. S. B., Loane, D. J., & Kochanek, P. M. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.13 · Cited by 1,190
Brain regulatory T cells suppress astrogliosis and potentiate neurological recovery
Ito, M., Komai, K., Mise-Omata, S., Iizuka-Koga, M., Noguchi, Y., Kondo, T., Sakai, R., Matsuo, K., Nakayama, T., Yoshie, O., et al. (2019) · Nature · doi:10.1038/s41586-018-0824-5 · Cited by 784
Regulation of Muscle Growth and Regeneration by the Immune System
Tidball, J. G. (2017) · Nature Reviews Immunology · doi:10.1038/nri.2016.150 · Cited by 740
Human FOXP3+ Regulatory T Cell Heterogeneity and Function in Autoimmunity and Cancer
Wing, J. B., Tanaka, A., & Sakaguchi, S. (2019) · Immunity · doi:10.1016/j.immuni.2019.01.020 · Cited by 726
Mechanisms of Organ Injury and Repair by Macrophages
Vannella, K. M., & Wynn, T. A. (2017) · Annual Review of Physiology · doi:10.1146/annurev-physiol-022516-034356 · Cited by 656
Metadata
- Authors
- Kuswanto, W., Burzyn, D., Panduro, M., Wang, K. K., Jang, Y. C., Wagers, A. J., Benoist, C., & Mathis, D.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 44
- Issue
- 2
- Pages
- 355-367
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W2269067703
- Cited by
- 517
- References
- 41
- FWCI
- 22.27
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Poor Repair of Skeletal Muscle in Aging Mice Reflects a Defect in Local, Interleukin-33-Dependent Accumulation of Regulatory T Cells. https://app.cochat.ai/papers/10.1016/j.immuni.2016.01.009
- The paper
- Kuswanto, W., Burzyn, D., Panduro, M., Wang, K. K., Jang, Y. C., Wagers, A. J., Benoist, C., & Mathis, D. (2016). Poor Repair of Skeletal Muscle in Aging Mice Reflects a Defect in Local, Interleukin-33-Dependent Accumulation of Regulatory T Cells. Immunity. https://doi.org/10.1016/j.immuni.2016.01.009
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.