Carbon source availability drives nutrient utilization in CD8+ T cells
Open accessAbstract
How environmental nutrient availability impacts T cell metabolism and function remains poorly understood. Here, we report that the presence of physiologic carbon sources (PCSs) in cell culture medium broadly impacts glucose utilization by CD8 + T cells, independent of transcriptional changes in metabolic reprogramming. The presence of PCSs reduced glucose contribution to the TCA cycle and increased effector function of CD8 + T cells, with lactate directly fueling the TCA cycle. In fact, CD8 + T cells responding to Listeria infection preferentially consumed lactate over glucose as a TCA cycle substrate in vitro , with lactate enhancing T cell bioenergetic and biosynthetic capacity. Inhibiting lactate-dependent metabolism in CD8 + T cells by silencing lactate dehydrogenase A (Ldha) impaired both T cell metabolic homeostasis and proliferative expansion in vivo . Together, our data indicate that carbon source availability shapes T cell glucose metabolism and identifies lactate as a bioenergetic and biosynthetic fuel for CD8 + effector T cells.
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CD8+ T cells preferentially utilize non-glucose physiologic carbon sources as metabolic fuel.
“Also, CD8+ T cells preferentially utilize non-glucose physiologic carbon sources as metabolic fuel, and their activation and effector function are regulated by carbon availability.9”
From SGLT2 inhibitor promotes ketogenesis to improve MASH by suppressing CD8+ T cell activation (2024) · cites this paper as [9]
The Discussion says that CD8+ T cells preferentially oxidize physiologic carbon sources when those sources are readily available, and the Results show that supplementation increases effector-molecule production. The Results do not establish the broader claim that carbon availability regulates activation: the measured activation/effector markers were unchanged with supplementation. (LLM, conf=0.85)
Experimental — accuracy not yet measuredCD8+ T cell activation and effector function are regulated by carbon availability.
“Also, CD8+ T cells preferentially utilize non-glucose physiologic carbon sources as metabolic fuel, and their activation and effector function are regulated by carbon availability.9”
From SGLT2 inhibitor promotes ketogenesis to improve MASH by suppressing CD8+ T cell activation (2024) · cites this paper as [9]
The Results section, “Physiologic carbon sources influence T cell survival and effector function” (page unavailable), reports that adding physiologic carbon sources increased CD8+ T-cell effector-molecule production. It also reports no change in the measured activation/effector markers or proliferation, so the broader claim that carbon availability regulates activation is not established, although two transcription factors changed. (LLM, conf=0.88)
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Cites
A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION
Bligh, E. G., & Dyer, W. J. (1959) · Canadian Journal of Biochemistry and Physiology · doi:10.1139/o59-099 · Cited by 54,751 · cited 1× · see citing works
“…saline and centrifuged before being snap frozen on dry-ice and stored at −80°C. Metabolites were extracted by modified Bligh-Dyer extraction (Bligh and Dyer, 1959) by the addition of ice-cold methanol (A456, Fisher Scientific) directly to frozen cells, to which one volume of chloroform…”
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 · see citing works
A guide to immunometabolism for immunologists
O'Neill, L. A. J., Kishton, R. J., & Rathmell, J. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.70 · Cited by 3,315 · see citing works
Posttranscriptional Control of T Cell Effector Function by Aerobic Glycolysis
Chang, C.-H., Curtis, J. D., Maggi, L. B., Faubert, B., Villarino, A. V., O’Sullivan, D., Huang, S. C.-C., van der Windt, G. J. W., Blagih, J., Qiu, J., et al. (2013) · Cell · doi:10.1016/j.cell.2013.05.016 · Cited by 2,204 · see citing works
Self-citationThe transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
Wang, R., Dillon, C. P., Shi, L. Z., Milasta, S., Carter, R., Finkelstein, D., McCormick, L. L., Fitzgerald, P., Chi, H., Munger, J., et al. (2011) · Immunity · doi:10.1016/j.immuni.2011.09.021 · Cited by 2,140 · cited 2× · see citing works
“Upon activation, CD8 + T cells undergo extensive metabolic reprogramming characterized by transcriptional changes in metabolic gene expression (Wang et al., 2011).”
LDHA-Associated Lactic Acid Production Blunts Tumor Immunosurveillance by T and NK Cells
Brand, A., Singer, K., Koehl, G. E., Kolitzus, M., Schoenhammer, G., Thiel, A., Matos, C., Bruss, C., Klobuch, S., Peter, K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.011 · Cited by 2,039 · see citing works
Inhibitory effect of tumor cell-derived lactic acid on human T cells
Fischer, K., Hoffmann, P., Voelkl, S., Meidenbauer, N., Ammer, J., Edinger, M., Gottfried, E., Schwarz, S., Rothe, G., Hoves, S., et al. (2007) · Blood · doi:10.1182/blood-2006-07-035972 · Cited by 1,946 · see citing works
Glucose feeds the TCA cycle via circulating lactate
Hui, S., Ghergurovich, J. M., Morscher, R. J., Jang, C., Teng, X., Lu, W., Esparza, L. A., Reya, T., Zhan, L., Yanxiang Guo, J., et al. (2017) · Nature · doi:10.1038/nature24057 · Cited by 1,721 · see citing works
Transcriptional control of effector and memory CD8+ T cell differentiation
Kaech, S. M., & Cui, W. (2012) · Nature Reviews Immunology · doi:10.1038/nri3307 · Cited by 1,628 · see citing works
The CD28 Signaling Pathway Regulates Glucose Metabolism
Frauwirth, K. A., Riley, J. L., Harris, M. H., Parry, R. V., Rathmell, J. C., Plas, D. R., Elstrom, R. L., June, C. H., & Thompson, C. B. (2002) · Immunity · doi:10.1016/s1074-7613(02)00323-0 · Cited by 1,475 · see citing works
Lactate Metabolism in Human Lung Tumors
Faubert, B., Li, K. Y., Cai, L., Hensley, C. T., Kim, J., Zacharias, L. G., Yang, C., Do, Q. N., Doucette, S., Burguete, D., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.019 · Cited by 1,343 · see citing works
Self-citationGAGE: generally applicable gene set enrichment for pathway analysis
Luo, W., Friedman, M. S., Shedden, K., Hankenson, K. D., & Woolf, P. J. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-161 · Cited by 1,333 · see citing works
Metabolic support of tumour-infiltrating regulatory T cells by lactic acid
Watson, M. J., Vignali, P., Mullett, S. J., Overacre-Delgoffe, A. E., Peralta, R. M., Grebinoski, S., Menk, A. V., Rittenhouse, N., DePeaux, K., Whetstone, R. D., et al. (2021) · Nature · doi:10.1038/s41586-020-03045-2 · Cited by 1,280 · see citing works
Self-citationFoxp3 Reprograms T Cell Metabolism to Function in Low-Glucose, High-Lactate Environments
Angelin, A., Gil‐de‐Gómez, L., Dahiya, S., Jiao, J., Guo, L., Levine, M. H., Wang, Z., Quinn, W. J., Kopinski, P. K., Wang, L., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.12.018 · Cited by 1,263 · see citing works
Toll-like receptor–induced changes in glycolytic metabolism regulate dendritic cell activation
Krawczyk, C. M., Holowka, T., Sun, J., Blagih, J., Amiel, E., DeBerardinis, R. J., Cross, J. R., Jung, E., Thompson, C. B., Jones, R. G., et al. (2010) · Blood · doi:10.1182/blood-2009-10-249540 · Cited by 1,246 · see citing works
Self-citationMetabolic Instruction of Immunity
Buck, M. D., Sowell, R., Kaech, S. M., & Pearce, E. L. (2017) · Cell · doi:10.1016/j.cell.2017.04.004 · Cited by 1,232 · see citing works
Metabolic heterogeneity in human lung tumors
Hensley, C. T., Faubert, B., Yuan, Q., Lev-Cohain, N., Jin, E., Kim, J., Jiang, L., Ko, B., Skelton, R., Loudat, L., et al. (2016) · Cell · doi:10.1016/j.cell.2015.12.034 · Cited by 1,138 · see citing works
Self-citationMacintyre, A. N., Gerriets, V. A., Nichols, A., Michalek, R. D., Rudolph, M. C., Deoliveira, D., Anderson, S. M., Abel, E. D., Chen, B. J., Hale, L. P., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.05.004 · Cited by 1,129 · see citing works
Beltra, J., Manne, S., Abdel-Hakeem, M. S., Kurachi, M., Giles, J. R., Chen, Z., Casella, V., Ngiow, S. F., Khan, O., Huang, Y., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.04.014 · Cited by 1,091 · see citing works
Everts, B., Amiel, E., Huang, S. C.-C., Smith, A. M., Chang, C.-H., Lam, W. Y., Redmann, V., Freitas, T. C., Blagih, J., van der Windt, G. J. W., et al. (2014) · Nature Immunology · doi:10.1038/ni.2833 · Cited by 1,064 · see citing works
Self-citationEffector and Memory CTL Differentiation
Williams, M. A., & Bevan, M. J. (2006) · Annual Review of Immunology · doi:10.1146/annurev.immunol.25.022106.141548 · Cited by 942 · see citing works
Scharping, N. E., Rivadeneira, D. B., Menk, A. V., Vignali, P. D. A., Ford, B. R., Rittenhouse, N. L., Peralta, R., Wang, Y., Wang, Y., DePeaux, K., et al. (2021) · Nature Immunology · doi:10.1038/s41590-020-00834-9 · Cited by 897 · see citing works
We need to talk about the Warburg effect
DeBerardinis, R. J., & Chandel, N. S. (2020) · Nature Metabolism · doi:10.1038/s42255-020-0172-2 · Cited by 864 · see citing works
Self-citationMetabolomics and Isotope Tracing
Jang, C., Chen, L., & Rabinowitz, J. D. (2018) · Cell · doi:10.1016/j.cell.2018.03.055 · Cited by 841 · see citing works
Environment impacts the metabolic dependencies of Ras-driven non-small cell lung cancer
Davidson, S. M., Papagiannakopoulos, T., Olenchock, B. A., Heyman, J. E., Keibler, M. A., Luengo, A., Bauer, M. R., Jha, A. K., O’Brien, J. P., Pierce, K. A., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.01.007 · Cited by 737 · see citing works
Metabolic determinants of cancer cell sensitivity to glucose limitation and biguanides
Birsoy, K., Possemato, R., Lorbeer, F. K., Bayraktar, E. C., Thiru, P., Yucel, B., Wang, T., Chen, W. W., Clish, C. B., & Sabatini, D. M. (2014) · Nature · doi:10.1038/nature13110 · Cited by 710 · see citing works
The Energy Sensor AMPK Regulates T Cell Metabolic Adaptation and Effector Responses In Vivo
Blagih, J., Coulombe, F., Vincent, E. E., Dupuy, F., Galicia-Vázquez, G., Yurchenko, E., Raissi, T. C., van der Windt, G. J. W., Viollet, B., Pearce, E. L., et al. (2015) · Immunity · doi:10.1016/j.immuni.2014.12.030 · Cited by 659 · see citing works
Self-citationSerine is an essential metabolite for effector T cell expansion
Ma, E. H., Bantug, G., Griss, T., Condotta, S., Johnson, R. M., Samborska, B., Mainolfi, N., Suri, V., Guak, H., Balmer, M. L., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.12.011 · Cited by 657 · see citing works
Self-citationCantor, J. R., Abu-Remaileh, M., Kanarek, N., Freinkman, E., Gao, X., Louissaint, A., Lewis, C. A., & Sabatini, D. M. (2017) · Cell · doi:10.1016/j.cell.2017.03.023 · Cited by 611 · see citing works
Sullivan, M. R., Danai, L. V., Lewis, C. A., Chan, S. H., Gui, D. Y., Kunchok, T., Dennstedt, E. A., Vander Heiden, M. G., & Muir, A. (2019) · eLife · doi:10.7554/elife.44235 · Cited by 588 · see citing works
Argüello, R. J., Combes, A. J., Char, R., Gigan, J. P., Baaziz, A. I., Bousiquot, E., Camosseto, V., Samad, B., Tsui, J. L., Yan, P., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.11.007 · Cited by 563 · see citing works
Mookerjee, S. A., Gerencser, A. A., Nicholls, D. G., & Brand, M. D. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.774471 · Cited by 550 · see citing works
Single-cell RNA-seq reveals TOX as a key regulator of CD8+ T cell persistence in chronic infection
Yao, C., Sun, H.-W., Lacey, N. E., Ji, Y., Moseman, E. A., Shih, H.-Y., Heuston, E. F., Kirby, M., Anderson, S., Cheng, J., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0403-4 · Cited by 549 · see citing works
Increased demand for NAD(+) relative to ATP drives aerobic glycolysis
Luengo, A., Li, Z., Gui, D. Y., Sullivan, L. B., Zagorulya, M., Do, B. T., Ferreira, R., Naamati, A., Ali, A., Lewis, C. A., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2020.12.012 · Cited by 547 · see citing works
Metabolic heterogeneity confers differences in melanoma metastatic potential
Tasdogan, A., Faubert, B., Ramesh, V., Ubellacker, J. M., Shen, B., Solmonson, A., Murphy, M. M., Gu, Z., Gu, W., Martin, M., et al. (2020) · Nature · doi:10.1038/s41586-019-1847-2 · Cited by 509 · see citing works
Self-citationINCA: a computational platform for isotopically non-stationary metabolic flux analysis
Young, J. D. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu015 · Cited by 398 · see citing works
Mitochondrial control of immunity: beyond ATP
Mehta, M., Weinberg, S. E., & Chandel, N. S. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2017.66 · Cited by 398 · see citing works
Improving the metabolic fidelity of cancer models with a physiological cell culture medium
Voorde, J. V., Ackermann, T., Pfetzer, N., Sumpton, D. P., Mackay, G., Kalna, G., Nixon, C., Blyth, K., Gottlieb, E., & Tardito, S. (2019) · Science Advances · doi:10.1126/sciadv.aau7314 · Cited by 389 · see citing works
Lactate Limits T Cell Proliferation via the NAD(H) Redox State
Quinn, W. J., Jiao, J., TeSlaa, T. A., Stadanlick, J. E., Wang, Z., Wang, L., Akimova, T., Angelin, A., Schäfer, P. M., Cully, M. D., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108500 · Cited by 370 · see citing works
Glycolysis fuels phosphoinositide 3-kinase signaling to bolster T cell immunity
Xu, K., Yin, N., Peng, M., Stamatiades, E. G., Shyu, A., Li, P., Zhang, X., Do, M. H., Wang, Z., Capistrano, K. J., et al. (2021) · Science · doi:10.1126/science.abb2683 · Cited by 369 · see citing works
Ma, E. H., Verway, M. J., Johnson, R. M., Roy, D. G., Steadman, M., Hayes, S., Williams, K. S., Sheldon, R. D., Samborska, B., Kosinski, P. A., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.09.003 · Cited by 364 · see citing works
Self-citationBalmer, M. L., Ma, E. H., Bantug, G. R., Grählert, J., Pfister, S., Glatter, T., Jauch, A., Dimeloe, S., Slack, E., Dehio, P., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.03.016 · Cited by 361 · see citing works
Self-citationGlucose Availability Regulates IFN-γ Production and p70S6 Kinase Activation in CD8+ Effector T Cells
Cham, C. M., & Gajewski, T. F. (2005) · The Journal of Immunology · doi:10.4049/jimmunol.174.8.4670 · Cited by 359 · see citing works
Methionine Metabolism Shapes T Helper Cell Responses through Regulation of Epigenetic Reprogramming
Roy, D. G., Chen, J., Mamane, V. H., Ma, E. H., Muhire, B. M., Sheldon, R. D., Shorstova, T., Koning, R., Johnson, R. M., Esaulova, E., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.01.006 · Cited by 347 · see citing works
Self-citationInosine is an alternative carbon source for CD8+-T-cell function under glucose restriction
Wang, T., Gnanaprakasam, J. R., Chen, X., Kang, S., Xu, X., Sun, H., Liu, L., Rodgers, H., Miller, E., Cassel, T., et al. (2020) · Nature Metabolism · doi:10.1038/s42255-020-0219-4 · Cited by 333 · see citing works
Immunometabolic Interplay in the Tumor Microenvironment
Kaymak, I., Williams, K. S., Cantor, J. R., & Jones, R. G. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.09.004 · Cited by 330 · see citing works
Self-citationCD8+ T cell contraction is controlled by early inflammation
Badovinac, V. P., Porter, B. B., & Harty, J. T. (2004) · Nature Immunology · doi:10.1038/ni1098 · Cited by 317 · see citing works
Single-cell metabolic profiling of human cytotoxic T cells
Hartmann, F. J., Mrdjen, D., McCaffrey, E., Glass, D. R., Greenwald, N. F., Bharadwaj, A., Khair, Z., Verberk, S. G. S., Baranski, A., Baskar, R., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0651-8 · Cited by 310 · see citing works
High Precision Isotope Ratio Monitoring Techniques in Mass Spectrometry
Brand, W. A. (1996) · Journal of Mass Spectrometry · doi:10.1002/(sici)1096-9888(199603)31:3 · Cited by 299 · see citing works
Systems-level analysis of mechanisms regulating yeast metabolic flux
Hackett, S. R., Zanotelli, V. R., Xu, W., Goya, J., Park, J. O., Perlman, D. H., Gibney, P. A., Botstein, D., Storey, J. D., & Rabinowitz, J. D. (2016) · Science · doi:10.1126/science.aaf2786 · Cited by 297 · see citing works
Quantitative Fluxomics of Circulating Metabolites
Hui, S. T., Cowan, A. J., Zeng, X., Yang, L., TeSlaa, T. A., Li, X., Bartman, C., Zhang, Z., Jang, C., Wang, L., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.07.013 · Cited by 274 · see citing works
Metabolic adaptation of lymphocytes in immunity and disease
Chapman, N. M., & Chi, H.-B. (2022) · Immunity · doi:10.1016/j.immuni.2021.12.012 · Cited by 263 · see citing works
TOX is expressed by exhausted and polyfunctional human effector memory CD8 + T cells
Sekine, T., Perez‐Potti, A., Nguyen, S., Gorin, J., Wu, V. H., Emma Gostick, D., Llewellyn‐Lacey, S., Hammer, Q., Falck‐Jones, S., Vangeti, S., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.aba7918 · Cited by 238 · see citing works
Hermans, D., Gautam, S., García‐Cañaveras, J. C., Gromer, D. J., Mitra, S., Spolski, R. J., Li, P., Christensen, S. M., Nguyen, R., Lin, J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1920413117 · Cited by 230 · see citing works
Metformin Antagonizes Cancer Cell Proliferation by Suppressing Mitochondrial-Dependent Biosynthesis
Griss, T., Vincent, E. E., Egnatchik, R. A., Chen, J., Ma, E. H., Faubert, B., Viollet, B., DeBerardinis, R. J., & Jones, R. G. (2015) · PLoS Biology · doi:10.1371/journal.pbio.1002309 · Cited by 211 · see citing works
Self-citationDifferent T Cell Receptor Signals Determine CD8 + Memory Versus Effector Development
Teixeiro, E., Daniëls, M. A., Hamilton, S. E., Schrum, A. G., Bragado, R., Jameson, S. C., & Palmer, E. (2009) · Science · doi:10.1126/science.1163612 · Cited by 199 · see citing works
T Cell Activation Depends on Extracellular Alanine
Ron‐Harel, N., Ghergurovich, J. M., Notarangelo, G., LaFleur, M. W., Tsubosaka, Y., Sharpe, A. H., Rabinowitz, J. D., & Haigis, M. C. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.08.034 · Cited by 199 · see citing works
Pathogen induced inflammatory environment controls effector and memory CD8+ T cell differentiation
Obar, J., Jellison, E., Sheridan, B., Blair, D., Pham, Q.-M., Zickovich, J. M., & Lefrançois, L. (2011) · Journal of Immunology · doi:10.4049/jimmunol.1102335 · Cited by 193 · see citing works
Sizing up the key determinants of the CD8+ T cell response
Tscharke, D. C., Croft, N. P., Doherty, P. C., & Gruta, N. L. L. (2015) · Nature reviews. Immunology · doi:10.1038/nri3905 · Cited by 148 · see citing works
Biochemical Underpinnings of Immune Cell Metabolic Phenotypes
Olenchock, B. A., Rathmell, J. C., & Heiden, M. G. V. (2017) · Immunity · doi:10.1016/j.immuni.2017.04.013 · Cited by 136 · see citing works
CRISPR screens in physiologic medium reveal conditionally essential genes in human cells
Rossiter, N. J., Huggler, K. S., Adelmann, C. H., Keys, H. R., Soens, R. W., Sabatini, D. M., & Cantor, J. R. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.02.005 · Cited by 133 · see citing works
Levine, L. S., Hiam-Galvez, K. J., Marquez, D. M., Tenvooren, I., Madden, M. Z., Contreras, D. C., Dahunsi, D. O., Irish, J. M., Oluwole, O. O., Rathmell, J. C., et al. (2020) · Immunity · doi:10.1016/j.immuni.2021.02.018 · Cited by 128 · see citing works
Muir, A., Danai, L. V., & Heiden, M. G. V. (2018) · Disease Models & Mechanisms · doi:10.1242/dmm.035758 · Cited by 121 · see citing works
Lercher, A., Bhattacharya, A., Popa, A., Caldera, M., Schlapansky, M. F., Baazim, H., Agerer, B., Gürtl, B., Kosack, L., Májek, P., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.10.014 · Cited by 120 · see citing works
Chen, R., Bélanger, S., Frederick, M. A., Li, B., Johnston, R. J., Xiao, N., Liu, Y., Sharma, S., Peters, B., Rao, A., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.08.002 · Cited by 117 · see citing works
FluxFix: automatic isotopologue normalization for metabolic tracer analysis
Trefely, S., Ashwell, P., & Snyder, N. W. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1360-7 · Cited by 102 · see citing works
Cantor, J. R. (2019) · Trends in Cell Biology · doi:10.1016/j.tcb.2019.08.009 · Cited by 100 · see citing works
Human Plasma-like Medium Improves T Lymphocyte Activation
Leney-Greene, M. A., Boddapati, A. K., Su, H. C., Cantor, J. R., & Lenardo, M. J. (2019) · iScience · doi:10.1016/j.isci.2019.100759 · Cited by 70 · see citing works
MMMDB: Mouse Multiple Tissue Metabolome Database
Sugimoto, M., Ikeda, S., Niigata, K., Tomita, M., Sato, H., & Soga, T. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1170 · Cited by 67 · see citing works
Circulating metabolite homeostasis achieved through mass action
Li, X., Hui, S. T., Mirek, E. T., Jonsson, W. O., Anthony, T. G., Lee, W. D., Zeng, X., Jang, C., & Rabinowitz, J. D. (2022) · Nature Metabolism · doi:10.1038/s42255-021-00517-1 · Cited by 48 · see citing works
Clonal expansion of vaccine-elicited T cells is independent of aerobic glycolysis
Klarquist, J. S., Chitrakar, A., Pennock, N. D., Kilgore, A. M., Blain, T. J., Zheng, C., Danhorn, T., Walton, K., Jiang, L., Sun, J., et al. (2018) · Science Immunology · doi:10.1126/sciimmunol.aas9822 · Cited by 46 · see citing works
Sheldon, R. D., Ma, E. H., DeCamp, L. M., Williams, K. S., & Jones, R. G. (2021) · Nature Protocols · doi:10.1038/s41596-021-00586-2 · Cited by 43 · see citing works
Self-citationMacPherson, S., Keyes, S., Kilgour, M. K., Smazynski, J., Chan, V., Sudderth, J., Turcotte, T., Devlieger, A., Yu, J. Z., Huggler, K. S., et al. (2022) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2022.02.004 · Cited by 36 · see citing works
Self-citationRambotti, P., & Davis, S. (1981) · Blood · doi:10.1182/blood.v57.2.324.324 · Cited by 31 · see citing works
LDH isozymes of human T and B lymphocytes
Ringoir, S. M., & Plum, J. R. (1975) · Clinica Chimica Acta · doi:10.1016/0009-8981(75)90081-9 · Cited by 18 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Fernandez CA, Des Rosiers C, Previs SF, David F, and Brunengraber H (1996). Correction of 13C mass isotopomer distributions for natural stable isotope abundance. J. Mass Spectrom. 31, 255– 262. 8799277
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Giles, J. R., Globig, A.-M., Kaech, S. M., & Wherry, E. J. (2023) · Immunity · doi:10.1016/j.immuni.2023.09.005 · Cited by 467 · see citing works
Lactic acid and lactate: revisiting the physiological roles in the tumor microenvironment
Apostolova, P., & Pearce, E. L. (2022) · Trends in Immunology · doi:10.1016/j.it.2022.10.005 · Cited by 349 · see citing works
Lactate: A key regulator of the immune response
Llibre, A., Kucuk, S., Gope, A., Certo, M., & Mauro, C. (2025) · Immunity · doi:10.1016/j.immuni.2025.02.008 · Cited by 297 · see citing works
Zhao, Y., Liu, Z., Liu, G., Zhang, Y., Liu, S., Gan, D., Chang, W., Peng, X., Sung, E. S., Gilbert, K., et al. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.09.004 · Cited by 231 · see citing works
Self-citationThe emerging role of lactate in tumor microenvironment and its clinical relevance
Chen, S., Xu, Y., Zhuo, W., & Zhang, L. (2024) · Cancer Letters · doi:10.1016/j.canlet.2024.216837 · Cited by 200 · see citing works
Dysfunction of exhausted T cells is enforced by MCT11-mediated lactate metabolism
Peralta, R. M., Xie, B., Lontos, K., Nieves-Rosado, H. M., Spahr, K., Joshi, S. K., Ford, B. R., Quann, K., Frisch, A. T., Dean, V. G., et al. (2024) · Nature Immunology · doi:10.1038/s41590-024-01999-3 · Cited by 190 · see citing works
Emerging roles of lactate in acute and chronic inflammation
Fang, Y., Li, Z., Yang, L., Li, W., Wang, Y., Kong, Z., Miao, J., Chen, Y., Bian, Y., & Zeng, L. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01624-8 · Cited by 180 · see citing works
Gu, X.-Y., Yang, J., Lai, R., Zhou, Z., Tang, D., Hu, L., & Zhao, L. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1563303 · Cited by 162 · see citing works
The effect of physical exercise on anticancer immunity
Fiuza‐Luces, C., Valenzuela, P. L., Gálvez, B. G., Ramírez, M. R., López‐Soto, A., Simpson, R. J., & Lucía, A. (2023) · Nature reviews. Immunology · doi:10.1038/s41577-023-00943-0 · Cited by 154 · see citing works
Ketolysis drives CD8+ T cell effector function through effects on histone acetylation
Luda, K. M., Longo, J., Kitchen-Goosen, S. M., Duimstra, L. R., Ma, E. H., Watson, M. J., Oswald, B. M., Fu, Z., Madaj, Z., Kupai, A., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.07.002 · Cited by 140 · see citing works
Self-citationLithium carbonate revitalizes tumor-reactive CD8+ T cells by shunting lactic acid into mitochondria
Ma, J., Tang, L., Tan, Y., Xiao, J., Wei, K., Zhang, X., Ma, Y., Tong, S., Chen, J., Zhou, N., et al. (2024) · Nature Immunology · doi:10.1038/s41590-023-01738-0 · Cited by 127 · see citing works
Mitochondrial ATP generation is more proteome efficient than glycolysis
Shen, Y., Dinh, H. V., Cruz, E. R., Chen, Z., Bartman, C., Xiao, T., Call, C. M., Ryseck, R.-P., Pratas, J., Weilandt, D., et al. (2024) · Nature Chemical Biology · doi:10.1038/s41589-024-01571-y · Cited by 116 · see citing works
Metabolic Messengers: ketone bodies
Nelson, A. B., Queathem, E. D., Puchalska, P., & Crawford, P. A. (2023) · Nature Metabolism · doi:10.1038/s42255-023-00935-3 · Cited by 115 · see citing works
Liu, Y., Wang, F., Peng, D., Zhang, D., Liu, L., Wei, J., Yuan, J., Zhao, L., Jiang, H., Zhang, T., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adk7399 · Cited by 115 · see citing works
Nutrient-driven histone code determines exhausted CD8 + T cell fates
Ma, S., Dahabieh, M. S., Mann, T. H., Zhao, S., McDonald, B., Song, W., Chung, H., Farsakoglu, Y., Garcia-Rivera, L., Hoffmann, F. A., et al. (2024) · Science · doi:10.1126/science.adj3020 · Cited by 109 · see citing works
Self-citationSubudhi, I., Konieczny, P., Prystupa, A., Castillo, R., Sze-Tu, E., Xing, Y., Rosenblum, D., Reznikov, I., Sidhu, I., Loomis, C. A., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.04.022 · Cited by 109 · see citing works
Nutrients: Signal 4 in T cell immunity
Raynor, J. L., & Chi, H. (2024) · The Journal of Experimental Medicine · doi:10.1084/jem.20221839 · Cited by 94 · see citing works
Cai, H., Chen, X., Liu, Y., Chen, Y.-B., Zhong, G., Chen, X., Rong, S., Zeng, H., Zhang, L., Li, Z., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58563-2 · Cited by 102 · see citing works
Lactate and Lactylation: Dual Regulators of T-Cell-Mediated Tumor Immunity and Immunotherapy
Hao, Z.-N., Tan, X.-P., Zhang, Q., Li, J., Xia, R., & Ma, Z. (2024) · Biomolecules · doi:10.3390/biom14121646 · Cited by 87 · see citing works
Lipid metabolism reprogramming of CD8+ T cell and therapeutic implications in cancer
Wang, R., Liu, Z., Fan, Z., & Zhan, H. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216267 · Cited by 79 · see citing works
Targeting lactate metabolism for cancer immunotherapy - a matter of precision
Heuser-Loy, C., Renner, K., Kreutz, M. P., & Gattinoni, L. (2022) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2022.12.001 · Cited by 76 · see citing works
Pillai, R., LeBoeuf, S. E., Hao, Y., New, C., Blum, J. L. E., Rashidfarrokhi, A., Huang, S. M., Bahamon, C., Wu, W., Karadal-Ferrena, B., et al. (2024) · Science Advances · doi:10.1126/sciadv.adm9859 · Cited by 79 · see citing works
SGLT2 inhibitor promotes ketogenesis to improve MASH by suppressing CD8+ T cell activation
Liu, W., You, D., Lin, J., Zou, H., Zhang, L., Luo, S., Yuan, Y., Wang, Z., Qi, J., Wang, W., et al. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.08.005 · Cited by 61 · see citing works
NaCl enhances CD8+ T cell effector functions in cancer immunotherapy
Scirgolea, C., Sottile, R., Luca, M. D., Susana, A., Carnevale, S., Puccio, S., Ferrari, V., Lise, V., Contarini, G., Scarpa, A., et al. (2024) · Nature Immunology · doi:10.1038/s41590-024-01923-9 · Cited by 59 · see citing works
The tumor microenvironment is an ecosystem sustained by metabolic interactions
Kay, E. J., & Zanivan, S. R. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115432 · Cited by 60 · see citing works
13 C metabolite tracing reveals glutamine and acetate as critical in vivo fuels for CD8 T cells
Ma, E. H., Dahabieh, M. S., DeCamp, L. M., Kaymak, I., Kitchen-Goosen, S. M., Oswald, B. M., Longo, J., Roy, D. G., Verway, M. J., Johnson, R. M., et al. (2024) · Science Advances · doi:10.1126/sciadv.adj1431 · Cited by 53 · see citing works
Self-citationMitochondria sense bacterial lactate and drive release of neutrophil extracellular traps
Wise, A. D., TenBarge, E. G., Mendonça, J. D. C., Mennen, E. C., McDaniel, S. R., Reber, C. P., Holder, B. E., Bunch, M. L., Belevska, E., Marshall, M. G., et al. (2025) · Cell Host & Microbe · doi:10.1016/j.chom.2025.02.003 · Cited by 54 · see citing works
Chen, X., Liu, L., Kang, S., Gnanaprakasam, J. R., & Wang, R. (2023) · Science Advances · doi:10.1126/sciadv.add9554 · Cited by 52 · see citing works
Immunometabolism of CD8+ T cell differentiation in cancer
Shi, H., Chen, S., & Chi, H. (2024) · Trends in cancer · doi:10.1016/j.trecan.2024.03.010 · Cited by 53 · see citing works
Boufaied, N., Chetta, P., Hallal, T., Cacciatore, S., Lalli, D., Luthold, C., Homsy, K., Imada, E. L., Syamala, S., Photopoulos, C., et al. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-0519 · Cited by 54 · see citing works
ACLY and ACSS2 link nutrient-dependent chromatin accessibility to CD8 T cell effector responses
Kaymak, I., Watson, M. J., Oswald, B. M., Ma, S., Johnson, B. K., DeCamp, L. M., Mabvakure, B. M., Luda, K. M., Ma, E. H., Lau, K. H., et al. (2024) · The Journal of Experimental Medicine · doi:10.1084/jem.20231820 · Cited by 53 · see citing works
Self-citationThe immunometabolic ecosystem in cancer
Bantug, G. R., & Hess, C. (2023) · Nature Immunology · doi:10.1038/s41590-023-01675-y · Cited by 51 · see citing works
Targeting metabolic dysfunction of CD8 T cells and natural killer cells in cancer
Viel, S., Vivier, É., Walzer, T., & Marçais, A. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-024-01098-w · Cited by 51 · see citing works
Frisch, A. T., Wang, Y., Xie, B., Yang, A., Ford, B. R., Joshi, S. K., Kedziora, K. M., Peralta, R. M., Wilfahrt, D. N., Mullett, S. J., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2024.12.007 · Cited by 46 · see citing works
LDHA as a regulator of T cell fate and its mechanisms in disease
Dai, M., Wang, L., Yang, J., Chen, J., Dou, X., Chen, R., Ge, Y., & Lin, Y. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.114164 · Cited by 45 · see citing works
Xu, N., Zhu, Y., Han, Y., Liu, Q., Tong, L., Li, Y., Chen, Z., Shao, S., He, W., Li, M., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01347-1 · Cited by 38 · see citing works
García‐Giménez, J. L., Cánovas‐Cervera, I., Nácher-Sendra, E., Dolz-Andrés, E., Sánchez-Bernabéu, Á., Agúndez, A. B., Hernández‐Gil, J., Mena, S., & Pallardó, F. V. (2025) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2025.04.004 · Cited by 36 · see citing works
Screening in serum-derived medium reveals differential response to compounds targeting metabolism
Abbott, K. L., Ali, A., Casalena, D. E., Do, B. T., Ferreira, R., Cheah, J. H., Soule, C. K., Deik, A., Kunchok, T., Schmidt, D. R., et al. (2023) · Cell chemical biology · doi:10.1016/j.chembiol.2023.08.007 · Cited by 33 · see citing works
Mitochondrial dysfunctions in T cells: focus on inflammatory bowel disease
Lee, H., Jeon, J., & Kim, E. S. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1219422 · Cited by 33 · see citing works
Oswald, B. M., DeCamp, L. M., Longo, J., Dahabieh, M. S., Bunda, N., Johnson, B. K., Watson, M. J., Ma, S., Preston, S. E. J., Sheldon, R. D., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01415-6 · Cited by 32 · see citing works
Self-citationFarsani, S. S. M., & Verma, V. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1175532 · Cited by 31 · see citing works
Targeting glycolysis: exploring a new frontier in glioblastoma therapy
Yang, L., Li, S., Yu, L., Leng, J., & Li, N. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1522392 · Cited by 28 · see citing works
The role of tumor metabolism in modulating T-Cell activity and in optimizing immunotherapy
Ganjoo, S., Gupta, P., Corbali, H. I., Nanez, S., Riad, T. S., Duong, L. K., Barsoumian, H. B., Masrorpour, F., Jiang, H., Welsh, J. W., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1172931 · Cited by 29 · see citing works
Oncometabolites in cancer: from cancer cells to the tumor microenvironment
Chen, L., & Huang, M. (2024) · Holistic Integrative Oncology · doi:10.1007/s44178-024-00096-7 · Cited by 27 · see citing works
Zeng, Y., Huang, Y., Tan, Q., Peng, L., Wang, J., Tong, F., & Dong, X. (2024) · Molecular Medicine Reports · doi:10.3892/mmr.2024.13413 · Cited by 27 · see citing works
Metabolic reprogramming of immune cells in MASH
Ma, C., Wang, S., Dong, B., & Tian, Y. (2025) · Hepatology · doi:10.1097/hep.0000000000001371 · Cited by 32 · see citing works
Glucose-dependent glycosphingolipid biosynthesis fuels CD8+ T cell function and tumor control
Longo, J., DeCamp, L. M., Oswald, B. M., Teis, R., Reyes-Oliveras, A., Dahabieh, M. S., Ellis, A. E., Vincent, M. P., Damico, H. N., Gallik, K. L., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.07.006 · Cited by 28 · see citing works
Self-citationTumor-intrinsic metabolic reprogramming and how it drives resistance to anti-PD-1/PD-L1 treatment
Laubach, K., Turan, T., Mathew, R. S., Wilsbacher, J. L., Engelhardt, J., & Samayoa, J. A. (2023) · Cancer Drug Resistance · doi:10.20517/cdr.2023.60 · Cited by 26 · see citing works
Metabolic plasticity of T cell fate decision
Pan, X., Wang, J., Zhang, L., Li, G., & Huang, B. (2023) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002989 · Cited by 24 · see citing works
A diverse proteome is present and enzymatically active in metabolite extracts
House, R. J., Soper-Hopper, M. T., Vincent, M. P., Ellis, A. E., Capan, C. D., Madaj, Z., Wolfrum, E., Isaguirre, C. N., Castello, C. D., Johnson, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50128-z · Cited by 25 · see citing works
Self-citationBritt, E. C., Qing, X., Votava, J. A., Lika, J., Wagner, A. S., Shen, S., Arp, N. L., Khan, H., Schieke, S. M., Fletcher, C. D. �., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2321212121 · Cited by 25 · see citing works
Pivotal role of exogenous pyruvate in human natural killer cell metabolism
Coquillat, N. K., Picq, L., Hamond, A., Megy, P., Benezech, S., Drouillard, A., Lager-Lachaud, N., Cahoreau, E., Moreau, M., Fallone, L., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-024-01188-4 · Cited by 24 · see citing works
The prostacyclin receptor PTGIR is a NRF2-dependent regulator of CD8+ T cell exhaustion
Dahabieh, M. S., DeCamp, L. M., Oswald, B. M., Kitchen-Goosen, S. M., Fu, Z. F., Vos, M., Compton, S. E., Longo, J., Foy, N. M., Williams, K. S., et al. (2025) · Nature Immunology · doi:10.1038/s41590-025-02185-9 · Cited by 24 · see citing works
Self-citationThe ATP-exporting channel Pannexin 1 promotes CD8+ T cell effector and memory responses
Vardam-Kaur, T., Banuelos, A., Gabaldon-Parish, M., Macedo, B. D. G., Salgado, C. L., Wanhainen, K. M., Zhou, M. H., van Dijk, S., Santiago-Carvalho, I., Beniwal, A., et al. (2024) · iScience · doi:10.1016/j.isci.2024.110290 · Cited by 24 · see citing works
Lactate in skin homeostasis: metabolism, skin barrier, and immunomodulation
Ruan, D., Hu, T., Yang, X., Mo, X., & Ju, Q. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1510559 · Cited by 23 · see citing works
The dual role of citrate in cancer
Icard, P., Simula, L., Zahn, G., Alifano, M., & Mycielska, M. E. (2023) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2023.188987 · Cited by 25 · see citing works
Nutrient allocation fuels T cell-mediated immunity
Longo, J., Watson, M. J., Williams, K. S., Sheldon, R. D., & Jones, R. G. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.09.008 · Cited by 19 · see citing works
Self-citationThe metabolic cross-talk between cancer and T cells
Miguel, S. C.-D., Lucianer, G., & Elia, I. (2023) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2023.03.004 · Cited by 20 · see citing works
d'Aria, S., Maquet, C., Li, S., Dhup, S., Lepez, A., Köhler, A., Hée, V. F. V., Dadhich, R. K., Frenière, M., Andris, F., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2306763121 · Cited by 20 · see citing works
Jonker, P. B., & Muir, A. (2024) · Disease Models & Mechanisms · doi:10.1242/dmm.050814 · Cited by 20 · see citing works
Research progress on the regulatory role of lactate and lactylation in tumor microenvironment
Gao, C., Li, J., & Shan, B. (2025) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2025.189339 · Cited by 19 · see citing works
PGC-1β maintains mitochondrial metabolism and restrains inflammatory gene expression
Guak, H., Sheldon, R. D., Beddows, I., Ark, A. V., Weiland, M. J., Shen, H., Jones, R. G., St‐Pierre, J., Ma, E. H., & Krawczyk, C. M. (2022) · Scientific Reports · doi:10.1038/s41598-022-20215-6 · Cited by 17 · see citing works
Self-citationExtracellular domains of CARs reprogramme T cell metabolism without antigen stimulation
Lakhani, A., Chen, X., Chen, L. C., Hong, M., Khericha, M., Chen, Y., Chen, Y. Y., & Park, J. O. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01034-7 · Cited by 19 · see citing works
Mitochondrial fatty acid synthesis and MECR regulate CD4+ T cell function and oxidative metabolism
Steiner, K. K., Young, A., Patterson, A. R., Sugiura, A., Watson, M. J., Preston, S. E. J., Zhelonkin, A. R., Jennings, E. Q., Chi, C., Heintzman, D. R., et al. (2025) · The Journal of Immunology · doi:10.1093/jimmun/vkaf034 · Cited by 17 · see citing works
Self-citationCPT2-mediated Fatty Acid Oxidation Is Dispensable for Humoral Immunity
Li, M., Zhou, X., Zhu, X., Li, Y., Hitosugi, T., Li, Y., & Zeng, H. (2024) · The Journal of Immunology · doi:10.4049/jimmunol.2400285 · Cited by 16 · see citing works
Schofield, J. H., Longo, J., Sheldon, R. D., Albano, E., Ellis, A. E., Hawk, M. A., Murphy, S. P., Duong, L., Rahmy, S., Lü, X., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113984 · Cited by 14 · see citing works
Self-citationThe potential role of CMC1 as an immunometabolic checkpoint in T cell immunity
Chen, Y., Gao, J., Ma, M., Wang, K., Liu, F., Yang, F., Zou, X., Cheng, Z., & Wu, D. (2024) · OncoImmunology · doi:10.1080/2162402x.2024.2344905 · Cited by 13 · see citing works
Metabolic Dialogue Shapes Immune Response in the Tumor Microenvironment
Gao, F., Shah, R., Xin, G., & Wang, R. (2025) · European Journal of Immunology · doi:10.1002/eji.202451102 · Cited by 13 · see citing works
Role of Neutrophils in Homeostasis and Diseases
Chang, X., Liu, Y., Qiu, J., & Hua, K. (2025) · MedComm · doi:10.1002/mco2.70390 · Cited by 14 · see citing works
Bal, S. K., Giuliani, S., Block, J., Repiščák, P., Hafemeister, C., Shahin, T., Kasap, N., Ransmayr, B., Miao, Y., van de Wetering, C., et al. (2023) · Blood · doi:10.1182/blood.2022018303 · Cited by 13 · see citing works
Why and how citrate may sensitize malignant tumors to immunotherapy
Icard, P., Prieto, M., Coquerel, A., Fournel, L., Gligorov, J., Noel, J., Mouren, A., Dohan, A. J. J., Alifano, M., & Simula, L. (2024) · Drug Resistance Updates · doi:10.1016/j.drup.2024.101177 · Cited by 13 · see citing works
Reprogramming T-cell metabolism to enhance adoptive cell therapies
Kates, M., & Saibil, S. D. (2024) · International Immunology · doi:10.1093/intimm/dxae007 · Cited by 12 · see citing works
Lysine lactylation-based insight to understanding the characterization of cervical cancer
He, C., Zhang, J., Bai, X., Lu, C., & Zhang, K. (2024) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2024.167356 · Cited by 12 · see citing works
Patterson, A. R., Needle, G. A., Sugiura, A., Jennings, E. Q., Chi, C., Steiner, K. K., Fisher, E. L., Robertson, G. L., Bodnya, C., Markle, J., et al. (2024) · Science Immunology · doi:10.1126/sciimmunol.adh0368 · Cited by 12 · see citing works
Self-citationRegulatory T cells in the context: deciphering the dynamic interplay with the tissue environment
Huang, X. J., & Rudensky, A. Y. (2024) · Current Opinion in Immunology · doi:10.1016/j.coi.2024.102453 · Cited by 11 · see citing works
Glucose metabolism in B cell malignancies: a focus on glycolysis branching pathways
Simon‐Molas, H., Prete, R. D., & Kabanova, A. (2023) · Molecular Oncology · doi:10.1002/1878-0261.13570 · Cited by 10 · see citing works
How lactate affects immune strategies in lymphoma
Zhou, Y., Lou, J., Yuqin, T., Ding, J., Wang, X., & Tang, B. (2024) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2024.1480884 · Cited by 11 · see citing works
Gorría, T., Sierra-Boada, M., Rojas, M., Figueras, C., Marín, S., Madurga, S., Cascante, M., & Maurel, J. (2025) · Cancers · doi:10.3390/cancers17030498 · Cited by 10 · see citing works
The Landscape of Cancer Metabolism as a Therapeutic Target
Ohshima, K. (2025) · Pathology International · doi:10.1111/pin.70034 · Cited by 9 · see citing works
Scaglione, M., Knight, M., Trihemasava, K., Rome, K., Archambault, A., Oh, J., Tanaka, E., Hall, E., Le, T. N. V., Lines, C. L., et al. (2026) · Immunity · doi:10.1016/j.immuni.2026.04.004 · Cited by 10 · see citing works
Madaj, Z., Dahabieh, M. S., Kamalumpundi, V., Muhire, B. M., Pettinga, D., Siwicki, R. A., Ellis, A. E., Isaguirre, C. N., Galvis, M. L. E., DeCamp, L. M., et al. (2023) · RNA Biology · doi:10.1080/15476286.2023.2204586 · Cited by 9 · see citing works
Self-citationChen, X. L., Tharp, K. M., Ojalill, M., Ozmadenci, D., Boyer, A. D., Haanen, T. J., Lawson, C., Lee, J., Xia, M., Tahon, E., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117009 · Cited by 8 · see citing works
Tiberti, S., Gennari, S., Romeo, M. A., Sheraj, I., Kassir, M. F., Fernández-García, J., Lauson, C. B. N., Noberini, R., Catozzi, C., Dallavilla, T., et al. (2026) · Science Immunology · doi:10.1126/sciimmunol.aeb1459 · Cited by 8 · see citing works
Claiborne, M. D. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1061411 · Cited by 9 · see citing works
Supercharging cancer-fighting T cells with lithium carbonate
Xu, Y., Ma, K., Zhang, L., & Li, G. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.02.006 · Cited by 8 · see citing works
Approaches to investigate tissue-resident innate lymphocytes metabolism at the single-cell level
Corkish, C., de Aguiar, C. F., & Finlay, D. K. (2024) · Nature Communications · doi:10.1038/s41467-024-54516-3 · Cited by 8 · see citing works
Targeting organelle function in T cells for cancer immunotherapy
Baldwin, J., Heuser-Loy, C., & Gattinoni, L. (2025) · Nature reviews. Immunology · doi:10.1038/s41577-025-01223-9 · Cited by 7 · see citing works
Benavente, S. (2023) · Cancer Drug Resistance · doi:10.20517/cdr.2022.141 · Cited by 7 · see citing works
Population Structure and Genetic Diversity of Yunling Cattle Determined by Whole-Genome Resequencing
Chen, J., Zhang, L., Gao, L., Wei, Z., Dang, D., & Yang, L. (2023) · Genes · doi:10.3390/genes14122141 · Cited by 7 · see citing works
Mitochondrial protein OPA1 is required for the expansion of effector CD8 T cells
Willett, B. A. S., Thompson, S. B., Chen, V., Darehshouri, A., Jackson, C. L., Brunetti, T. M., D’Alessandro, A., Klarquist, J. S., Nemkov, T. G., & Kedl, R. M. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115610 · Cited by 6 · see citing works
Immunometabolism at the crossroads of obesity and cancer—a Keystone Symposia report
Cable, J., Rathmell, J. C., Pearce, E. L., Ho, P., Haigis, M. C., Mamedov, M. R., Wu, M., Kaech, S. M., Lynch, L., Febbraio, M. A., et al. (2023) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.14976 · Cited by 6 · see citing works
Self-citationSeeing the world through the eyes of cultured cells
Tan, J., Kunzmann, G. B., Virtue, S., Cantor, J. R., & Fazakerley, D. J. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.01.027 · Cited by 6 · see citing works
Li, X., Du, G., Li, L., & Ke, P. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1253783 · Cited by 6 · see citing works
Metabolic Screening of T Lymphocytes During Activation via SEAHORSE Extracellular Flux (XF) Analysis
Gubert, G. F., Hochrein, S. M., Sinning, K., & Vaeth, M. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4414-0_17 · Cited by 5 · see citing works
Min, F., Li, J., Wang, Z., Shao, H., Liu, W., Wang, J., Tong, P., Li, X., Wu, Y., & Chen, H. (2025) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5c09540 · Cited by 5 · see citing works
Metabolic traits of T cells and the implications in autoimmune diseases
Zhou, Y., Zhou, Y., Zhu, Q., Guo, W., & Li, C. (2026) · Autoimmunity Reviews · doi:10.1016/j.autrev.2026.103989 · Cited by 6 · see citing works
Strategies for uncovering stable isotope tracing patterns between cell populations
MacPherson, S., Duncan, K. D., Goodlett, D. R., & Lum, J. J. (2023) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2023.102991 · Cited by 5 · see citing works
Blocking tumor-intrinsic MNK1 kinase restricts metabolic adaptation and diminishes liver metastasis
Preston, S. E. J., Dahabieh, M. S., González, R. E. F., Gonçalves, C., Richard, V. R., Leibovitch, M., Dakin, E., Papadopoulos, T., Naranjo, C. L., McCallum, P. A., et al. (2024) · Science Advances · doi:10.1126/sciadv.adi7673 · Cited by 6 · see citing works
Self-citationvan de Wall, S., Crooks, S. D., Varga, S. M., Badovinac, V. P., & Harty, J. T. (2023) · The Journal of Immunology · doi:10.4049/jimmunol.2200931 · Cited by 5 · see citing works
NRF2-dependent regulation of the prostacyclin receptor PTGIR drives CD8 T cell exhaustionPreprint
Dahabieh, M. S., DeCamp, L. M., Oswald, B. M., Kitchen-Goosen, S. M., Fu, Z. F., Vos, M., Compton, S. E., Longo, J., Williams, K. S., Ellis, A. E., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.23.600279 · Cited by 5 · see citing works
Self-citation
- Authors
- Kaymak, I., Luda, K. M., Duimstra, L. R., Ma, E. H., Longo, J., Dahabieh, M. S., Faubert, B., Oswald, B. M., Watson, M. J., Kitchen-Goosen, S. M., DeCamp, L. M., Compton, S. E., Fu, Z., DeBerardinis, R. J., Williams, K. S., Sheldon, R. D., & Jones, R. G.
- Affiliations
- Van Andel Institute (US)
- University of Copenhagen (DK)
- University of Chicago (US)
- Children's Medical Center (US)
- Corresponding author
- Jones, Russell G.
- ORCID
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 34
- Issue
- 9
- Pages
- 1298-1311.e6
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC10068808
- OpenAlex
- W4292111508
- Cited by
- 160
- References
- 75
- Citations by year
- 2026: 40 · 2025: 43 · 2024: 41 · 2023: 31 · 2022: 5
- FWCI
- 11.46
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
- PubMed Central (acceptedVersion, cc-by-nc-nd)
- Funders
- Van Andel Research Institute
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases
- National Cancer Institute Division of Cancer Prevention
- National Cancer Institute Division of Cancer Epidemiology and Genetics (R35CA22044901)
- The Paul G Allen Frontiers Group
- Howard Hughes Medical Institute
- Fonds de Recherche du Québec - Santé
- National Cancer Institute (T32CA251066-01A1)
- National Institute of Allergy and Infectious Diseases (R01AI165722)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Keywords
- CD8+ T cells, effector T cells, carbon source availability, nutrient utilization, T cell metabolism, glucose metabolism, T cell activation
- MeSH terms
- Nutrients, Carbon, Glucose, CD8-Positive T-Lymphocytes, Lactic Acid
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