The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
PKM2 regulates the Warburg effect and promotes HMGB1 release in sepsis
Open accessAbstract
Increasing evidence suggests the important role of metabolic reprogramming in the regulation of the innate inflammatory response, but the underlying mechanism remains unclear. Here we provide evidence to support a novel role for the pyruvate kinase M2 (PKM2)-mediated Warburg effect, namely aerobic glycolysis, in the regulation of high-mobility group box 1 (HMGB1) release. PKM2 interacts with hypoxia-inducible factor 1α (HIF1α) and activates the HIF-1α-dependent transcription of enzymes necessary for aerobic glycolysis in macrophages. Knockdown of PKM2, HIF1α and glycolysis-related genes uniformly decreases lactate production and HMGB1 release. Similarly, a potential PKM2 inhibitor, shikonin, reduces serum lactate and HMGB1 levels, and protects mice from lethal endotoxemia and sepsis. Collectively, these findings shed light on a novel mechanism for metabolic control of inflammation by regulating HMGB1 release and highlight the importance of targeting aerobic glycolysis in the treatment of sepsis and other inflammatory diseases. The role of metabolic reprogramming in the regulation of innate inflammatory response remains incompletely understood. Here, the authors show that pyruvate kinase M2-mediated aerobic glycolysis contributes to inflammatory response, and that inhibition of this pathway protects mice from lethal endotoxemia and sepsis.
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Cites
Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
Vander Heiden, M. G., Cantley, L. C., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1160809 · Cited by 16,197
Release of chromatin protein HMGB1 by necrotic cells triggers inflammation
Scaffidi, P., Misteli, T., & Bianchi, M. E. (2002) · Nature · doi:10.1038/nature00858 · Cited by 4,221
Succinate is an inflammatory signal that induces IL-1β through HIF-1α
Tannahill, G. M., Curtis, A. M., Adamik, J., Palsson-McDermott, E. M., McGettrick, A. F., Goel, G., Frezza, C., Bernard, N. J., Kelly, B., Foley, N. H., et al. (2013) · Nature · doi:10.1038/nature11986 · Cited by 4,176
The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth
Christofk, H. R., Vander Heiden, M. G., Harris, M. H., Ramanathan, A., Gerszten, R. E., Wei, R., Fleming, M. D., Schreiber, S. L., & Cantley, L. C. (2008) · Nature · doi:10.1038/nature06734 · Cited by 2,820
Cancer cell metabolism: warburg and beyond
Hsu, P. P., & Sabatini, D. M. (2008) · Cell · doi:10.1016/j.cell.2008.08.021 · Cited by 2,452 · cited 1×
“This phenomenon has been termed the “Warburg Effect” and represents one of the key hallmarks of cancer 15 .”
Anti-cachectin/TNF monoclonal antibodies prevent septic shock during lethal bacteraemia
Tracey, K. J., Fong, Y., Hesse, D. G., Manogue, K. R., Lee, A. T., Kuo, G. C., Lowry, S. F., & Cerami, A. (1987) · Nature · doi:10.1038/330662a0 · Cited by 2,448 · cited 2×
“…to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms (LPS) can induce the secretion and release of multiple proinflammatory cytokines such as tumor necrosis factor-α (TNF-α ) 3 , interleukin-1 β (IL-1 β ) 4 , and high mobility group box 1 (HMGB1) 5 .”
The many faces of macrophage activation
Mosser, D. M. (2003) · Journal of Leukocyte Biology · doi:10.1189/jlb.0602325 · Cited by 1,902 · cited 1×
“There are two major types of macrophages 35 : the classical M1 phenotype, which can be activated by LPS and IFN-γ to orchestrate proinflammatory responses, and the alternate M2 phenotype, which is activated by IL-4, IL-13, IL-10, and TGF-β to fulfill anti-inflammatory functions.”
Shi, L. Z., Wang, R., Huang, G., Vogel, P., Neale, G., Green, D. R., & Chi, H. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20110278 · Cited by 1,803
Control of TH17/Treg Balance by Hypoxia-Inducible Factor 1
Dang, E. V., Barbi, J., Yang, H.-Y., Jinasena, D., Yu, H., Zheng, Y., Bordman, Z., Fu, J., Kim, Y., Yen, H.-R., et al. (2011) · Cell · doi:10.1016/j.cell.2011.07.033 · Cited by 1,595
HMGB1 is a therapeutic target for sterile inflammation and infection
Andersson, U., & Tracey, K. J. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-030409-101323 · Cited by 1,437
Cited by
Sun, X., Ou, Z., Chen, R., Niu, X., Chen, D., Kang, R., & Tang, D. (2016) · Hepatology · doi:10.1002/hep.28251 · Cited by 2,012
Self-citationLactate metabolism in human health and disease
Li, X., Yang, Y., Zhang, B., Lin, X., Fu, X., An, Y., Zou, Y., Wang, J.-X., Wang, Z., & Yu, T. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01151-3 · Cited by 1,454
Palsson-McDermott, E. M., Curtis, A. M., Goel, G., Lauterbach, M. A. R., Sheedy, F. J., Gleeson, L. E., van den Bosch, M. W. M., Quinn, S. R., Domingo-Fernandez, R., Johnston, D. G. W., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2014.12.005 · Cited by 1,397
“Our results are in agreement with the study of Yang et al who demonstrated that inhibition of PKM2 with shikonin prevented lethality in a model of septic shock, although the mechanism of shikonin is not fully understood (Yang et al., 2014).”
Enhancing Recovery From Sepsis: A Review
Prescott, H. C., & Angus, D. C. (2018) · JAMA · doi:10.1001/jama.2017.17687 · Cited by 1,059
Kang, R., Chen, R., Zhang, Q., Hou, W., Wu, S., Cao, L., Huang, J., Yu, Y., Fan, X.-G., Yan, Z., et al. (2014) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2014.05.001 · Cited by 956
Self-citation
Metadata
- Authors
- Yang, L., Xie, M., Yang, M., Yu, Y., Zhu, S., Hou, W., Kang, R., Lotze, M. T., Billiar, T. R., Wang, H., Cao, L., & Tang, D.
- Venue
- Nature Communications
- Published
- 2014-07-14
- Volume
- 5
- Issue
- 1
- Pages
- 4436-4436
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2001712545
- Cited by
- 502
- References
- 13
- FWCI
- 7.97
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Yang, L., Xie, M., Yang, M., Yu, Y., Zhu, S., Hou, W., Kang, R., Lotze, M. T., Billiar, T. R., Wang, H., Cao, L., & Tang, D. (2014). PKM2 regulates the Warburg effect and promotes HMGB1 release in sepsis. Nature Communications. https://doi.org/10.1038/ncomms5436
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