The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Cerebral cavernous malformations arise from endothelial gain of MEKK3–KLF2/4 signalling
Open accessAbstract
Cerebral cavernous malformations (CCMs) are common inherited and sporadic vascular malformations that cause strokes and seizures in younger individuals. CCMs arise from endothelial cell loss of KRIT1, CCM2 or PDCD10, non-homologous proteins that form an adaptor complex. How disruption of the CCM complex results in disease remains controversial, with numerous signalling pathways (including Rho, SMAD and Wnt/β-catenin) and processes such as endothelial–mesenchymal transition (EndMT) proposed to have causal roles. CCM2 binds to MEKK3 (refs 7, 8, 9, 10, 11), and we have recently shown that CCM complex regulation of MEKK3 is essential during vertebrate heart development. Here we investigate this mechanism in CCM disease pathogenesis. Using a neonatal mouse model of CCM disease, we show that expression of the MEKK3 target genes Klf2 and Klf4, as well as Rho and ADAMTS protease activity, are increased in the endothelial cells of early CCM lesions. By contrast, we find no evidence of EndMT or increased SMAD or Wnt signalling during early CCM formation. Endothelial-specific loss of Map3k3 (also known as Mekk3), Klf2 or Klf4 markedly prevents lesion formation, reverses the increase in Rho activity, and rescues lethality. Consistent with these findings in mice, we show that endothelial expression of KLF2 and KLF4 is increased in human familial and sporadic CCM lesions, and that a disease-causing human CCM2 mutation abrogates the MEKK3 interaction without affecting CCM complex formation. These studies identify gain of MEKK3 signalling and KLF2/4 function as causal mechanisms for CCM pathogenesis that may be targeted to develop new CCM therapeutics.
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
Ephrin-B2 controls VEGF-induced angiogenesis and lymphangiogenesis
Wang, Y., Nakayama, M., Pitulescu, M. E., Schmidt, T. S., Bochenek, M. L., Sakakibara, A., Adams, S., Davy, A., Deutsch, U., Lüthi, U., et al. (2010) · Nature · doi:10.1038/nature09002 · Cited by 1,271
Tie2-Cre Transgenic Mice: A New Model for Endothelial Cell-Lineage Analysis in Vivo
Kisanuki, Y. Y., Hammer, R. E., Miyazaki, J.-I., Williams, S. C., Richardson, J. A., & Yanagisawa, M. (2001) · Developmental Biology · doi:10.1006/dbio.2000.0106 · Cited by 1,241
Katz, J. P., Perreault, N., Goldstein, B. G., Lee, C. S., Labosky, P. A., Yang, V. W., & Kaestner, K. H. (2002) · Development · doi:10.1242/dev.129.11.2619 · Cited by 594
EndMT contributes to the onset and progression of cerebral cavernous malformations
Maddaluno, L., Rudini, N., Cuttano, R., Bravi, L., Giampietro, C., Corada, M., Ferrarini, L., Orsenigo, F., Papa, E., Boulday, G., et al. (2013) · Nature · doi:10.1038/nature12207 · Cited by 486
Rac–MEKK3–MKK3 scaffolding for p38 MAPK activation during hyperosmotic shock
Uhlik, M. T., Abell, A. N., Johnson, N. L., Sun, W., Cuevas, B. D., Lobel-Rice, K. E., Horne, E. A., Dell'Acqua, M. L., & Johnson, G. L. (2003) · Nature Cell Biology · doi:10.1038/ncb1071 · Cited by 378
The cerebral cavernous malformation signaling pathway promotes vascular integrity via Rho GTPases
Whitehead, K. J., Chan, A. C., Navankasattusas, S., Koh, W., London, N. R., Ling, J., Mayo, A. H., Drakos, S. G., Jones, C. A., Zhu, W., et al. (2009) · Nature Medicine · doi:10.1038/nm.1911 · Cited by 377
Self-citationCerebral cavernous malformations proteins inhibit Rho kinase to stabilize vascular integrity
Stockton, R. A., Shenkar, R., Awad, I. A., & Ginsberg, M. H. (2010) · Journal of Experimental Medicine · doi:10.1084/jem.20091258 · Cited by 351
Self-citationKRIT-1/CCM1 is a Rap1 effector that regulates endothelial cell–cell junctions
Glading, A., Han, J., Stockton, R. A., & Ginsberg, M. H. (2007) · The Journal of Cell Biology · doi:10.1083/jcb.200705175 · Cited by 315
Klf2 Is an Essential Regulator of Vascular Hemodynamic Forces In Vivo
Lee, J. S., Yu, Q., Shin, J. T., Sebzda, E., Bertozzi, C., Chen, M., Mericko, P., Stadtfeld, M., Zhou, D., Cheng, L., et al. (2006) · Developmental Cell · doi:10.1016/j.devcel.2006.09.006 · Cited by 304
Self-citationFerrer-Vaquer, A., Piliszek, A., Tian, G., Aho, R. J., Dufort, D., & Hadjantonakis, A.-K. (2010) · BMC Developmental Biology · doi:10.1186/1471-213x-10-121 · Cited by 299
Cited by
Vascular heterogeneity and specialization in development and disease
Potente, M., & Mäkinen, T. (2017) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.36 · Cited by 653
Single-cell analysis of experience-dependent transcriptomic states in the mouse visual cortex
Hrvatin, S., Hochbaum, D. R., Nagy, M. A., Cicconet, M., Robertson, K., Cheadle, L., Zilionis, R., Ratner, A., Borges-Monroy, R., Klein, A. M., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0029-5 · Cited by 497
The molecular basis of endothelial cell plasticity
Dejana, E., Hirschi, K. K., & Simons, M. (2017) · Nature Communications · doi:10.1038/ncomms14361 · Cited by 441
Endothelial TLR4 and the microbiome drive cerebral cavernous malformations
Tang, A. T., Choi, J. P., Kotzin, J. J., Yang, Y., Hong, C. C., Hobson, N., Girard, R., Zeineddine, H. A., Lightle, R., Moore, T., et al. (2017) · Nature · doi:10.1038/nature22075 · Cited by 306
Self-citationMosaic RAS/MAPK variants cause sporadic vascular malformations which respond to targeted therapy
Al-Olabi, L., Polubothu, S., Dowsett, K., Andrews, K. A., Stadnik, P., Joseph, A. P., Knox, R., Pittman, A., Clark, G., Baird, W., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci98589 · Cited by 292
Metadata
- Authors
- Zhou, Z., Tang, A. T., Wong, W.-Y., Bamezai, S., Goddard, L. M., Shenkar, R., Zhou, S., Yang, J., Wright, A. C., Foley, M., Arthur, J. S. C., Whitehead, K. J., Awad, I. A., Li, D. Y., Zheng, X., & Kahn, M. L.
- Venue
- Nature
- Published
- 2016-03-30
- Volume
- 532
- Issue
- 7597
- Pages
- 122-126
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2333129081
- Cited by
- 332
- References
- 33
- FWCI
- 21.67
- Type
- journal article
- Language
- en
- Open access
- green
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: Cerebral cavernous malformations arise from endothelial gain of MEKK3–KLF2/4 signalling. https://app.cochat.ai/papers/10.1038/nature17178
- The paper
- Zhou, Z., Tang, A. T., Wong, W.-Y., Bamezai, S., Goddard, L. M., Shenkar, R., Zhou, S., Yang, J., Wright, A. C., Foley, M., Arthur, J. S. C., Whitehead, K. J., Awad, I. A., Li, D. Y., Zheng, X., & Kahn, M. L. (2016). Cerebral cavernous malformations arise from endothelial gain of MEKK3–KLF2/4 signalling. Nature. https://doi.org/10.1038/nature17178
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.