Lin, X., Xiao, Z., Chen, T., Liang, S. H. & Guo, H. Glucose metabolism on tumor plasticity, diagnosis, and treatment. Front. Oncol. 10, 317 (2020).
PubMed PubMed Central Google Scholar
Hay, N. Reprogramming glucose metabolism in cancer: Can it be exploited for cancer therapy? Nat. Rev. Cancer 16, 635–649 (2016).
CAS PubMed PubMed Central Google Scholar
Liberti, M. V. & Locasale, J. W. The Warburg effect: How does it benefit cancer cells? Trends Biochem. Sci. 41, 211–218 (2016).
CAS PubMed PubMed Central Google Scholar
Nagarajan, S. R., Butler, L. M. & Hoy, A. J. The diversity and breadth of cancer cell fatty acid metabolism. Cancer Metab. 9, 2 (2021).
PubMed PubMed Central Google Scholar
Palm, W. & Thompson, C. B. Nutrient acquisition strategies of mammalian cells. Nature 546, 234–242 (2017).
CAS PubMed PubMed Central Google Scholar
DeWaal, D. et al. Hexokinase-2 depletion inhibits glycolysis and induces oxidative phosphorylation in hepatocellular carcinoma and sensitizes to metformin. Nat. Commun. 9, 446 (2018).
PubMed PubMed Central Google Scholar
Chan, D. A. et al. Targeting GLUT1 and the Warburg effect in renal cell carcinoma by chemical synthetic lethality. Sci. Transl. Med. 3, 94ra70 (2011).
CAS PubMed PubMed Central Google Scholar
Liu, Y. et al. A small-molecule inhibitor of glucose transporter 1 downregulates glycolysis, induces cell-cycle arrest, and inhibits cancer cell growth in vitro and in vivo. Mol. Cancer Ther. 11, 1672–1682 (2012).
Fernandez, L. P., Gomez de Cedron, M. & Ramirez de Molina, A. Alterations of lipid metabolism in cancer: implications in prognosis and treatment. Front. Oncol. 10, 577420 (2020).
PubMed PubMed Central Google Scholar
Khan, W. et al. Lipid metabolism in cancer: a systematic review. J. Carcinog. 20, 4 (2021).
CAS PubMed PubMed Central Google Scholar
Wang, W., Bai, L., Li, W. & Cui, J. The lipid metabolic landscape of cancers and new therapeutic perspectives. Front. Oncol. 10, 605154 (2020).
PubMed PubMed Central Google Scholar
Snaebjornsson, M. T., Janaki-Raman, S. & Schulze, A. Greasing the wheels of the cancer machine: the role of lipid metabolism in cancer. Cell Metab. 31, 62–76 (2020).
Mason, P. et al. SCD1 inhibition causes cancer cell death by depleting mono-unsaturated fatty acids. PLoS ONE 7, e33823 (2012).
CAS PubMed PubMed Central Google Scholar
Guseva, N. V., Rokhlin, O. W., Glover, R. A. & Cohen, M. B. TOFA (5-tetradecyl-oxy-2-furoic acid) reduces fatty acid synthesis, inhibits expression of AR, neuropilin-1 and Mcl-1 and kills prostate cancer cells independent of p53 status. Cancer Biol. Ther. 12, 80–85 (2011).
Seki, T. et al. Brown-fat-mediated tumour suppression by cold-altered global metabolism. Nature 608, 421–428 (2022).
CAS PubMed PubMed Central Google Scholar
Symonds, M. E., Aldiss, P., Pope, M. & Budge, H. Recent advances in our understanding of brown and beige adipose tissue: the good fat that keeps you healthy. F1000Res 7, F1000 (2018).
PubMed PubMed Central Google Scholar
Virtanen, K. A. et al. Functional brown adipose tissue in healthy adults. N. Engl. J. Med. 360, 1518–1525 (2009).
Cannon, B. & Nedergaard, J. Brown adipose tissue: function and physiological significance. Physiol. Rev. 84, 277–359 (2004).
Klingenberg, M. Uncoupling protein—a useful energy dissipator. J. Bioenerg. Biomembr. 31, 419–430 (1999).
Suzuki, D., Murata, Y. & Oda, S. Changes in Ucp1, D2 (Dio2) and Glut4 (Slc2a4) mRNA expression in response to short-term cold exposure in the house musk shrew (Suncus murinus). Exp. Anim. 56, 279–288 (2007).
Vimaleswaran, K. S., Radha, V., Deepa, R. & Mohan, V. Absence of association of metabolic syndrome with PPARGC1A, PPARG and UCP1 gene polymorphisms in Asian Indians. Metab. Syndr. Relat. Disord. 5, 153–162 (2007).
Feldmann, H. M., Golozoubova, V., Cannon, B. & Nedergaard, J. UCP1 ablation induces obesity and abolishes diet-induced thermogenesis in mice exempt from thermal stress by living at thermoneutrality. Cell Metab. 9, 203–209 (2009).
Tabuchi, C. & Sul, H. S. Corrigendum: signaling pathways regulating thermogenesis. Front. Endocrinol. (Lausanne) 12, 698619 (2021).
Yi, D. et al. Zc3h10 acts as a transcription factor and is phosphorylated to activate the thermogenic program. Cell Rep. 29, 2621–2633.e4 (2019).
CAS PubMed PubMed Central Google Scholar
Puigserver, P. & Spiegelman, B. M. Peroxisome proliferator–activated receptor-γ coactivator 1α (PGC-1α): transcriptional coactivator and metabolic regulator. Endocr. Rev. 24, 78–90 (2003).
Lin, J. et al. Defects in adaptive energy metabolism with CNS-linked hyperactivity in PGC-1α null mice. Cell 119, 121–135 (2004).
Kajimura, S. Promoting brown and beige adipocyte biogenesis through the PRDM16 pathway. Int. J. Obes. Suppl. 5, S11–S14 (2015).
CAS PubMed PubMed Central Google Scholar
Harms, M. J. et al. PRDM16 binds MED1 and controls chromatin architecture to determine a brown fat transcriptional program. Genes Dev. 29, 298–307 (2015).
CAS PubMed PubMed Central Google Scholar
Ohno, H., Shinoda, K., Spiegelman, B. M. & Kajimura, S. PPARgamma agonists induce a white-to-brown fat conversion through stabilization of PRDM16 protein. Cell Metab. 15, 395–404 (2012).
CAS PubMed PubMed Central Google Scholar
Kajimura, S. et al. Initiation of myoblast to brown fat switch by a PRDM16-C/EBP-β transcriptional complex. Nature 460, 1154–1158 (2009).
CAS PubMed PubMed Central Google Scholar
Seale, P. et al. PRDM16 controls a brown fat/skeletal muscle switch. Nature 454, 961–967 (2008).
CAS PubMed PubMed Central Google Scholar
Kajimura, S. et al. Regulation of the brown and white fat gene programs through a PRDM16/CtBP transcriptional complex. Genes Dev. 22, 1397–1409 (2008).
CAS PubMed PubMed Central Google Scholar
Seale, P. et al. Transcriptional control of brown fat determination by PRDM16. Cell Metab. 6, 38–54 (2007).
CAS PubMed PubMed Central Google Scholar
Wang, C. H. et al. CRISPR-engineered human brown-like adipocytes prevent diet-induced obesity and ameliorate metabolic syndrome in mice. Sci. Transl. Med. 12, eaaz8664 (2020).
CAS PubMed PubMed Central Google Scholar
Nwosu, Z. C. et al. Uridine-derived ribose fuels glucose-restricted pancreatic cancer. Nature 618, 151–158 (2023).
CAS PubMed PubMed Central Google Scholar
Kim, H. K. et al. Deep learning improves prediction of CRISPR-Cpf1 guide RNA activity. Nat. Biotechnol. 36, 239–241 (2018).
Flint, J. & Shenk, T. Viral transactivating proteins. Annu. Rev. Genet. 31, 177–212 (1997).
Comments (0)