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Metabolic Reprogramming of Macrophages
Open accessAbstract
Glucose is a critical component in the proinflammatory response of macrophages (MΦs). However, the contribution of glucose transporters (GLUTs) and the mechanisms regulating subsequent glucose metabolism in the inflammatory response are not well understood. Because MΦs contribute to obesity-induced inflammation, it is important to understand how substrate metabolism may alter inflammatory function. We report that GLUT1 (SLC2A1) is the primary rate-limiting glucose transporter on proinflammatory-polarized MΦs. Furthermore, in high fat diet-fed rodents, MΦs in crown-like structures and inflammatory loci in adipose and liver, respectively, stain positively for GLUT1. We hypothesized that metabolic reprogramming via increased glucose availability could modulate the MΦ inflammatory response. To increase glucose uptake, we stably overexpressed the GLUT1 transporter in RAW264.7 MΦs (GLUT1-OE MΦs). Cellular bioenergetics analysis, metabolomics, and radiotracer studies demonstrated that GLUT1 overexpression resulted in elevated glucose uptake and metabolism, increased pentose phosphate pathway intermediates, with a complimentary reduction in cellular oxygen consumption rates. Gene expression and proteome profiling analysis revealed that GLUT1-OE MΦs demonstrated a hyperinflammatory state characterized by elevated secretion of inflammatory mediators and that this effect could be blunted by pharmacologic inhibition of glycolysis. Finally, reactive oxygen species production and evidence of oxidative stress were significantly enhanced in GLUT1-OE MΦs; antioxidant treatment blunted the expression of inflammatory mediators such as PAI-1 (plasminogen activator inhibitor 1), suggesting that glucose-mediated oxidative stress was driving the proinflammatory response. Our results indicate that increased utilization of glucose induced a ROS-driven proinflammatory phenotype in MΦs, which may play an integral role in the promotion of obesity-associated insulin resistance.
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Cites
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
Xu, H., Barnes, G. T., Yang, Q., Tan, G., Yang, D., Chou, C. J., Sole, J., Nichols, A., Ross, J. S., Tartaglia, L. A., et al. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319451 · Cited by 6,760
Obesity induces a phenotypic switch in adipose tissue macrophage polarization
Lumeng, C. N., Bodzin, J. L., & Saltiel, A. R. (2007) · Journal of Clinical Investigation · doi:10.1172/jci29881 · Cited by 4,664
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
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
Self-citationShi, 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
Oxidative metabolism and PGC-1β attenuate macrophage-mediated inflammation
Vats, D., Mukundan, L., Odegaard, J. I., Zhang, L., Smith, K. L., Morel, C. R., Greaves, D. R., Murray, P. J., & Chawla, A. (2006) · Cell Metabolism · doi:10.1016/j.cmet.2006.05.011 · Cited by 1,369
The Sedoheptulose Kinase CARKL Directs Macrophage Polarization through Control of Glucose Metabolism
Haschemi, A., Kosma, P., Gille, L., Evans, C. R., Burant, C. F., Starkl, P., Knapp, B., Haas, R., Schmid, J. A., Jandl, C., et al. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.04.023 · Cited by 635
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Hotamisligil, G. S. (2017) · Nature · doi:10.1038/nature21363 · Cited by 2,570
The metabolic signature of macrophage responses
Viola, A., Munari, F., Sánchez-Rodríguez, R., Scolaro, T., & Castegna, A. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01462 · Cited by 2,021
Metabolic reprogramming in macrophages and dendritic cells in innate immunity
Kelly, B., & O'Neill, L. A. (2015) · Cell Research · doi:10.1038/cr.2015.68 · Cited by 1,876
The immune system’s role in sepsis progression, resolution, and long-term outcome
Delano, M. J., & Ward, P. A. (2016) · Immunological Reviews · doi:10.1111/imr.12499 · Cited by 880
Metabolism of immune cells in cancer
Leone, R. D., & Powell, J. D. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-020-0273-y · Cited by 877
Reactive oxygen species (ROS) in macrophage activation and function in diabetes
Rendra, E., Riabov, V., Mossel, D. M., Sevastyanova, T., Harmsen, M. C., & Kzhyshkowska, J. (2019) · Immunobiology · doi:10.1016/j.imbio.2018.11.010 · Cited by 636
The macrophage switch in obesity development
Castoldi, A., Naffah de Souza, C., Câmara, N. O. S., & Moraes-Vieira, P. M. (2016) · Frontiers in Immunology · doi:10.3389/fimmu.2015.00637 · Cited by 575
Macrophage Metabolism Controls Tumor Blood Vessel Morphogenesis and Metastasis
Wenes, M., Shang, M., Di Matteo, M., Goveia, J., Martín-Pérez, R., Serneels, J., Prenen, H., Ghesquière, B., Carmeliet, P., & Mazzone, M. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.09.008 · Cited by 496
Metabolism of tissue macrophages in homeostasis and pathology
Wculek, S. K., Dunphy, G., Heras-Murillo, I., Mastrangelo, A., & Sancho, D. (2022) · Cellular & Molecular Immunology · doi:10.1038/s41423-021-00791-9 · Cited by 501
Ouimet, M., Ediriweera, H. N., Gundra, U. M., Sheedy, F. J., Ramkhelawon, B., Hutchison, S. B., Rinehold, K., van Solingen, C., Fullerton, M. D., Cecchini, K., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci81676 · Cited by 394
Aging, obesity, and inflammatory age-related diseases
Frasca, D., Blomberg, B. B., & Paganelli, R. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01745 · Cited by 371
HIF1 α -Induced Glycolysis Metabolism Is Essential to the Activation of Inflammatory Macrophages
Wang, T., Liu, H., Lian, G., Zhang, S.-Y., Wang, X., & Jiang, C. (2017) · Mediators of Inflammation · doi:10.1155/2017/9029327 · Cited by 371
Metabolic regulation of inflammation
Gaber, T., Strehl, C., & Buttgereit, F. (2017) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2017.37 · Cited by 320
Immunity, Hypoxia, and Metabolism–the Ménage à Trois of Cancer: Implications for Immunotherapy
Riera-Domingo, C., Audigé, A., Granja, S., Cheng, W.-C., Ho, P.-C., Baltazar, F., Stockmann, C., & Mazzone, M. (2020) · Physiological Reviews · doi:10.1152/physrev.00018.2019 · Cited by 310
UCP2-induced fatty acid synthase promotes NLRP3 inflammasome activation during sepsis
Moon, J.-S., Lee, S., Park, M.-A., Siempos, I. I., Haslip, M., Lee, P. J., Yun, M., Kim, C. K., Howrylak, J., Ryter, S. W., et al. (2015) · Journal of Clinical Investigation · doi:10.1172/jci78253 · Cited by 238
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van Beek, A. A., Van den Bossche, J., Mastroberardino, P. G., de Winther, M. P. J., & Leenen, P. J. M. (2019) · Trends in Immunology · doi:10.1016/j.it.2018.12.007 · Cited by 207
Contribution of adipose tissue to development of cancer
Cozzo, A. J., Fuller, A. M., & Makowski, L. (2017) · Comprehensive Physiology · doi:10.1002/cphy.c170008 · Cited by 188
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Huleihel, L., Dziki, J. L., Bartolacci, J. G., Rausch, T., Scarritt, M. E., Cramer, M. C., Vorobyov, T., LoPresti, S. T., Swineheart, I. T., White, L. J., et al. (2017) · Seminars in Immunology · doi:10.1016/j.smim.2017.04.004 · Cited by 169
Targeting vascular and leukocyte communication in angiogenesis, inflammation and fibrosis
Kreuger, J., & Phillipson, M. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.2 · Cited by 160
Macrophage metabolism in atherosclerosis
Bories, G. F. P., & Leitinger, N. (2017) · FEBS Letters · doi:10.1002/1873-3468.12786 · Cited by 145
Cho, S. J., Moon, J.-S., Lee, C.-M., Choi, A. M. K., & Stout-Delgado, H. W. (2017) · American Journal of Respiratory Cell and Molecular Biology · doi:10.1165/rcmb.2016-0225oc · Cited by 133
Metabolic communication in tumors: a new layer of immunoregulation for immune evasion
Ho, P.-C., & Liu, P.-S. (2016) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-016-0109-1 · Cited by 124
Johnson, A. R., Qin, Y., Cozzo, A. J., Freemerman, A. J., Huang, M. J., Zhao, L., Sampey, B. P., Milner, J. J., Beck, M. A., Damania, B., et al. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.04.005 · Cited by 130
Self-citationMitochondrial Regulation of Microglial Immunometabolism in Alzheimer’s Disease
Fairley, L. H., Wong, J. H., & Barron, A. M. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.624538 · Cited by 120
Testing the role of myeloid cell glucose flux in inflammation and atherosclerosis
Nishizawa, T., Kanter, J. E., Kramer, F., Barnhart, S., Shen, X., Vivekanandan-Giri, A., Wall, V. Z., Kowitz, J., Devaraj, S., O’Brien, K. D., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.03.028 · Cited by 87
The Macrophage Response Is Driven by Mesenchymal Stem Cell-Mediated Metabolic Reprogramming
Luque-Campos, N., Bustamante-Barrientos, F. A., Pradenas, C., García, C., Araya, M. J., Bohaud, C., Contreras-López, R., Elizondo-Vega, R., Djouad, F., Luz-Crawford, P., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.624746 · Cited by 82
Fungal sensing enhances neutrophil metabolic fitness by regulating antifungal Glut1 activity
Li, D.-D., Jawale, C. V., Zhou, C., Lin, L., Trevejo-Nunez, G. J., Rahman, S. A., Mullet, S. J., Das, J., Wendell, S. G., Delgoffe, G. M., et al. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.02.017 · Cited by 76
Wang, A., Pope, S. D., Weinstein, J. S., Yu, S., Zhang, C., Booth, C. J., & Medzhitov, R. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820704116 · Cited by 67
O'Rourke, S. A., Neto, N. G. B., Devilly, E., Shanley, L. C., Fitzgerald, H. K., Monaghan, M. G., & Dunne, A. (2022) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2022.05.015 · Cited by 62
Weerasinghe, H., Simm, C., Djajawi, T. M., Tedja, I., Lo, T. L., Simpson, D. S., Shasha, D., Mizrahi, N., Olivier, F. A. B., Speir, M., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112522 · Cited by 47
Sieow, J. L., Penny, H. L., Gun, S. Y., Tan, L. Q., Duan, K., Yeong, J. P. S., Pang, A., Lim, D., Toh, H. C., Lim, T. K. H., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24010753 · Cited by 27
Kohlhepp, M. S., Liu, H., Tacke, F., & Guillot, A. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1129831 · Cited by 27
Metadata
- Authors
- Freemerman, A. J., Johnson, A. R., Sacks, G. N., Milner, J. J., Kirk, E. L., Troester, M. A., Macintyre, A. N., Goraksha-Hicks, P., Rathmell, J. C., & Makowski, L.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 289
- Issue
- 11
- Pages
- 7884-7896
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2019335338
- Cited by
- 947
- References
- 9
- FWCI
- 18.02
- Type
- journal article
- Language
- en
- Open access
- hybrid
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