The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
NR4A1 (Nur77) Deletion Polarizes Macrophages Toward an Inflammatory Phenotype and Increases Atherosclerosis
Open accessAbstract
Rationale: NR4A1 (Nur77) is a nuclear receptor that is expressed in macrophages and within atherosclerotic lesions, yet its function in atherosclerosis is unknown. Objective: Nur77 regulates the development of monocytes, particularly patrolling Ly6C − monocytes that may be involved in resolution of inflammation. We sought to determine how absence of nuclear receptor subfamily 4, group A, member 1 (NR4A1) in hematopoietic cells affected atherosclerosis development. Methods and Results: Nur77 −/− chimeric mice on a Ldlr −/− background showed a 3-fold increase in atherosclerosis development when fed a Western diet for 20 weeks, despite having a drastic reduction in Ly6C − patrolling monocytes. In a second model, mice deficient in both Nur77 and ApoE (ApoE −/− Nur77 −/− ) also showed increased atherosclerosis after 11 weeks of Western diet. Atherosclerosis was associated with a significant change in macrophage polarization toward a proinflammatory phenotype, with high expression of tumor necrosis factor-α and nitric oxide and low expression of Arginase-I. Moreover, we found increased expression of toll-like receptor 4 mRNA and protein in Nur77 −/− macrophages as well as increased phosphorylation of the p65 subunit of NFκB. Inhibition of NFκB activity blocked excess activation of Nur77 −/− macrophages. Conclusions: We conclude that the absence of Nur77 in monocytes and macrophages results in enhanced toll-like receptor signaling and polarization of macrophages toward a proinflammatory M1 phenotype. Despite having fewer monocytes, Nur77 −/− mice developed significant atherosclerosis when fed a Western diet. These studies indicate that Nur77 is a novel target for modulating the inflammatory phenotype of monocytes and macrophages and may be important for regulation of atherogenesis.
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
Exploring the full spectrum of macrophage activation
Mosser, D. M., & Edwards, J. P. (2008) · Nature Reviews Immunology · doi:10.1038/nri2448 · Cited by 9,144
The chemokine system in diverse forms of macrophage activation and polarization
MANTOVANI, A., SICA, A., SOZZANI, S., ALLAVENA, P., VECCHI, A., & LOCATI, M. (2004) · Trends in Immunology · doi:10.1016/j.it.2004.09.015 · Cited by 6,534
Nahrendorf, M., Swirski, F. K., Aikawa, E., Stangenberg, L., Wurdinger, T., Figueiredo, J.-L., Libby, P., Weissleder, R., & Pittet, M. J. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20070885 · Cited by 2,300
Tacke, F., Alvarez, D., Kaplan, T. J., Jakubzick, C., Spanbroek, R., Llodra, J., Garin, A., Liu, J., Mack, M., van Rooijen, N., et al. (2007) · Journal of Clinical Investigation · doi:10.1172/jci28549 · Cited by 1,323
Satoh, T., Takeuchi, O., Vandenbon, A., Yasuda, K., Tanaka, Y., Kumagai, Y., Miyake, T., Matsushita, K., Okazaki, T., Saitoh, T., et al. (2010) · Nature Immunology · doi:10.1038/ni.1920 · Cited by 1,156
Shechter, R., London, A., Varol, C., Raposo, C., Cusimano, M., Yovel, G., Rolls, A., Mack, M., Pluchino, S., Martino, G., et al. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000113 · Cited by 770
Two physically, functionally, and developmentally distinct peritoneal macrophage subsets
Ghosn, E. E. B., Cassado, A. A., Govoni, G. R., Fukuhara, T., Yang, Y., Monack, D. M., Bortoluci, K. R., Almeida, S. R., Herzenberg, L. A., & Herzenberg, L. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0915000107 · Cited by 689
Hanna, R. N., Carlin, L. M., Hubbeling, H. G., Nackiewicz, D., Green, A. M., Punt, J. A., Geissmann, F., & Hedrick, C. C. (2011) · Nature Immunology · doi:10.1038/ni.2063 · Cited by 639
Self-citationDistinct Differentiation Potential of Blood Monocyte Subsets in the Lung
Landsman, L., Varol, C., & Jung, S. (2007) · The Journal of Immunology · doi:10.4049/jimmunol.178.4.2000 · Cited by 322
The Macrophage Cholesterol Exporter ABCA1 Functions as an Anti-inflammatory Receptor
Tang, C., Liu, Y., Kessler, P. S., Vaughan, A. M., & Oram, J. F. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.047472 · Cited by 284
Cited by
Macrophages in atherosclerosis: a dynamic balance
Moore, K. J., Sheedy, F. J., & Fisher, E. A. (2013) · Nature reviews. Immunology · doi:10.1038/nri3520 · Cited by 2,559
Monocytes and macrophages: developmental pathways and tissue homeostasis
Ginhoux, F., & Jung, S. (2014) · Nature Reviews Immunology · doi:10.1038/nri3671 · Cited by 1,840
Developmental and Functional Heterogeneity of Monocytes
Guilliams, M., Mildner, A., & Yona, S. (2018) · Immunity · doi:10.1016/j.immuni.2018.10.005 · Cited by 973
The role of macrophages in the resolution of inflammation
Watanabe, S., Alexander, M., Misharin, A. V., & Budinger, G. R. S. (2019) · Journal of Clinical Investigation · doi:10.1172/jci124615 · Cited by 925
Cochain, C., Vafadarnejad, E., Arampatzi, P., Pelisek, J., Winkels, H., Ley, K., Wolf, D., Saliba, A.-E., & Zernecke, A. (2018) · Circulation Research · doi:10.1161/circresaha.117.312509 · Cited by 894
Self-citation
Metadata
- Authors
- Hanna, R. N., Shaked, I., Hubbeling, H. G., Punt, J. A., Wu, R., Herrley, E., Zaugg, C., Pei, H., Geissmann, F., Ley, K., & Hedrick, C. C.
- Venue
- Circulation Research
- Published
- 2012-02-03
- Volume
- 110
- Issue
- 3
- Pages
- 416-427
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2171029424
- Cited by
- 450
- References
- 11
- FWCI
- 9.08
- 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: NR4A1 (Nur77) Deletion Polarizes Macrophages Toward an Inflammatory Phenotype and Increases Atherosclerosis. https://app.cochat.ai/papers/10.1161/circresaha.111.253377
- The paper
- Hanna, R. N., Shaked, I., Hubbeling, H. G., Punt, J. A., Wu, R., Herrley, E., Zaugg, C., Pei, H., Geissmann, F., Ley, K., & Hedrick, C. C. (2012). NR4A1 (Nur77) Deletion Polarizes Macrophages Toward an Inflammatory Phenotype and Increases Atherosclerosis. Circulation Research. https://doi.org/10.1161/circresaha.111.253377
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.
