The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
NAD+-dependent Sirtuin 1 and 6 Proteins Coordinate a Switch from Glucose to Fatty Acid Oxidation during the Acute Inflammatory Response
Open accessAbstract
The early initiation phase of acute inflammation is anabolic and primarily requires glycolysis with reduced mitochondrial glucose oxidation for energy, whereas the later adaptation phase is catabolic and primarily requires fatty acid oxidation for energy. We reported previously that switching from the early to the late acute inflammatory response following TLR4 stimulation depends on NAD(+) activation of deacetylase sirtuin 1 (SirT1). Here, we tested whether NAD(+) sensing by sirtuins couples metabolic polarity with the acute inflammatory response. We found in TLR4-stimulated THP-1 promonocytes that SirT1 and SirT 6 support a switch from increased glycolysis to increased fatty acid oxidation as early inflammation converts to late inflammation. Glycolysis enhancement required hypoxia-inducing factor-1α to up-regulate glucose transporter Glut1, phospho-fructose kinase, and pyruvate dehydrogenase kinase 1, which interrupted pyruvate dehydrogenase and reduced mitochondrial glucose oxidation. The shift to late acute inflammation and elevated fatty acid oxidation required peroxisome proliferator-activated receptor γ coactivators PGC-1α and β to increase external membrane CD36 and fatty acid mitochondrial transporter carnitine palmitoyl transferase 1. Metabolic coupling between early and late responses also required NAD(+) production from nicotinamide phosphoryltransferase (Nampt) and activation of SirT6 to reduce glycolysis and SirT1 to increase fatty oxidation. We confirmed similar shifts in metabolic polarity during the late immunosuppressed stage of human sepsis blood leukocytes and murine sepsis splenocytes. We conclude that NAD(+)-dependent bioenergy shifts link metabolism with the early and late stages of acute inflammation.
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2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference
Levy, M. M., Fink, M. P., Marshall, J. C., Abraham, E., Angus, D., Cook, D., Cohen, J., Opal, S. M., Vincent, J.-L., & Ramsay, G. (2003) · Critical Care Medicine · doi:10.1097/01.ccm.0000050454.01978.3b · Cited by 5,995
Nutrient control of glucose homeostasis through a complex of PGC-1α and SIRT1
Rodgers, J. T., Lerin, C., Haas, W., Gygi, S. P., Spiegelman, B. M., & Puigserver, P. (2005) · Nature · doi:10.1038/nature03354 · Cited by 3,160
Modulation of NF‐κB‐dependent transcription and cell survival by the SIRT1 deacetylase
Yeung, F., Hoberg, J. E., Ramsey, C. S., Keller, M. D., Jones, D. R., Frye, R. A., & Mayo, M. W. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600244 · Cited by 2,750
Macrophages, inflammation, and insulin resistance
Olefsky, J. M., & Glass, C. K. (2010) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021909-135846 · Cited by 2,733
Macrophage-specific PPARγ controls alternative activation and improves insulin resistance
Odegaard, J. I., Ricardo-Gonzalez, R. R., Goforth, M. H., Morel, C. R., Subramanian, V., Mukundan, L., Eagle, A. R., Vats, D., Brombacher, F., Ferrante, A. W., et al. (2007) · Nature · doi:10.1038/nature05894 · Cited by 2,107
Michalek, R. D., Gerriets, V. A., Jacobs, S. R., Macintyre, A. N., MacIver, N. J., Mason, E. F., Sullivan, S. A., Nichols, A. G., & Rathmell, J. C. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003613 · Cited by 2,091
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
Immunosuppression in Patients Who Die of Sepsis and Multiple Organ Failure
Boomer, J. S., To, K., Chang, K. C., Takasu, O., Osborne, D. F., Walton, A. H., Bricker, T. L., Jarman, S. D., Kreisel, D., Krupnick, A. S., et al. (2011) · JAMA · doi:10.1001/jama.2011.1829 · Cited by 1,781
Enhancing CD8 T-cell memory by modulating fatty acid metabolism
Pearce, E. L., Walsh, M. C., Cejas, P. J., Harms, G. M., Shen, H., Wang, L.-S., Jones, R. G., & Choi, Y. (2009) · Nature · doi:10.1038/nature08097 · Cited by 1,559
Mitochondrial respiratory capacity is a critical regulator of CD8+ T cell memory development
van der Windt, G. J. W., Everts, B., Chang, C.-H., Curtis, J. D., Freitas, T. C., Amiel, E., Pearce, E. J., & Pearce, E. L. (2012) · Immunity · doi:10.1016/j.immuni.2011.12.007 · Cited by 1,540
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Netea, M. G., Joosten, L. A. B., Latz, E., Mills, K. H. G., Natoli, G., Stunnenberg, H. G., O’Neill, L. A. J., & Xavier, R. J. (2016) · Science · doi:10.1126/science.aaf1098 · Cited by 2,768
mTOR- and HIF-1α–mediated aerobic glycolysis as metabolic basis for trained immunity
Cheng, S.-C., Quintin, J., Cramer, R. A., Shepardson, K. M., Saeed, S., Kumar, V., Giamarellos-Bourboulis, E. J., Martens, J. H. A., Rao, N. A., Aghajanirefah, A., et al. (2014) · Science · doi:10.1126/science.1250684 · Cited by 2,224
The immunopathology of sepsis and potential therapeutic targets
van der Poll, T., van de Veerdonk, F. L., Scicluna, B. P., & Netea, M. G. (2017) · Nature Reviews Immunology · doi:10.1038/nri.2017.36 · Cited by 1,957
Metabolism of Inflammation Limited by AMPK and Pseudo-Starvation
O'Neill, L. A. J., & Hardie, D. G. (2013) · Nature · doi:10.1038/nature11862 · Cited by 1,133
Kauppinen, A., Suuronen, T., Ojala, J., Kaarniranta, K., & Salminen, A. (2013) · Cellular Signalling · doi:10.1016/j.cellsig.2013.06.007 · Cited by 989
Metadata
- Authors
- Liu, T. F., Vachharajani, V. T., Yoza, B. K., & McCall, C. E.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 287
- Issue
- 31
- Pages
- 25758-25769
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2012885541
- Cited by
- 340
- References
- 37
- FWCI
- 7.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Liu, T. F., Vachharajani, V. T., Yoza, B. K., & McCall, C. E. (2012). NAD+-dependent Sirtuin 1 and 6 Proteins Coordinate a Switch from Glucose to Fatty Acid Oxidation during the Acute Inflammatory Response. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m112.362343
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