Literature DB >> 33740244

Lipid Metabolism in Tumor-Associated Natural Killer Cells.

Yu Chen1, Meihua Sui2.   

Abstract

Accumulative data demonstrate that during the initiation and progression of tumors, several types of cellular components in tumor microenvironment, including tumor cells and immune cells, exhibit malfunctions in cellular energy metabolism. For instance, lipid metabolism impairments in immune cells are crucial in coordinating immunosuppression and tumor immune escape. In particular, excessive lipids have been shown to exhibit negative effects on innate immunity. Previous studies on lipid metabolism in immune cells are mainly focused on macrophages and T lymphocytes. Although natural killer (NK) cells are major players in the innate elimination of virus, bacteria, and tumor cells, available literature reports related with lipid metabolism in NK cells and tumor-associated NK (TANK) cells are very sparse. Despite these, the importance and clinical relevance of the crosstalk among lipid metabolism, NK/TANK cells, and tumors have been clearly indicated. In this chapter, following a general description of NK and TANK cells, our knowledge on the regulation of lipid metabolism in NK cells is reviewed, with an emphasis on the roles of mTOR and SREBP signaling. Then the interactions between lipid metabolism and NK/TANK cells under pathological conditions, e.g., obesity and cancer, were carefully introduced. As there is an urgent need to reveal more regulators and to clarify detailed molecular mechanisms by which lipid metabolism interacts with NK/TANK cells, several categories of potential regulators/pathways, as well as the challenges and perspectives in this emerging field, are discussed.

Entities:  

Keywords:  Cancer; Lipid metabolism; Mammalian target of rapamycin; Natural killer cells; Scavenger receptors; Sterol regulatory element-binding proteins

Mesh:

Year:  2021        PMID: 33740244     DOI: 10.1007/978-981-33-6785-2_5

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  107 in total

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Authors:  Anneleen Remmerie; Charlotte L Scott
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  2 in total

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Authors:  Zhimin Ye; Shengmei Zou; Zhiyuan Niu; Zhijie Xu; Yongbin Hu
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