| Literature DB >> 31275330 |
Sophie M Poznanski1, Ali A Ashkar1.
Abstract
NK cells are capable of an array of functions that range widely from their classic anti-tumor and anti-viral cytotoxic effector functions, to their critical regulatory roles in controlling inflammatory immune responses and promoting tissue growth. However, the mechanisms that polarize NK cells to these distinct and opposing functions are incompletely understood. NK cell functional subsets are primarily identified and studied based on phenotype, which has served as an accessible means for profiling NK cells and does offer information on NK cell activation state. However, inconsistencies have emerged in using classic phenotypes to inform function, which raise the questions: Can phenotype in fact define NK cell functional fate? What factors do profile and drive NK cell fate? In other immune cells, cell metabolism has been shown to critically determine subset polarization. There is a growing body of evidence that cell metabolism is integral to NK cell effector functions. Glucose-driven glycolysis and oxidative metabolism have been shown to drive classic NK cell anti-tumor and anti-viral effector functions. Recent studies have uncovered a critical role for metabolism in NK cell development, education, and memory generation. In this review, we will draw on the evidence to date to investigate the relationship between NK cell phenotype, metabolism, and functional fate. We explore a paradigm in which the differential activity of metabolic pathways within NK cells produce distinct metabolic fingerprints that comprehensively distinguish and drive the range of NK cell functional abilities. We will discuss future areas of study that are needed to develop and test this paradigm and suggest strategies to efficiently profile NK cells based on metabolism. Given the emerging role of metabolism in driving NK cell fates, profiling and modulating NK cell metabolism holds profound therapeutic potential to tune inflammatory and regulatory NK cell responses to treat disease.Entities:
Keywords: CD56; NK cell; NK cell subsets; cell metabolism; glycolysis; innate immunity; mitochondria; phenotype
Year: 2019 PMID: 31275330 PMCID: PMC6593107 DOI: 10.3389/fimmu.2019.01414
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Figure 1Same covers, different stories: phenotype does not distinguish NK cell functional fates. To date, phenotype has been used as a principal means of studying and classifying NK cell functional subsets. However, there is mounting evidence that demonstrates significant discrepancies in the classic phenotype definition of NK cell subsets. For instance, while cytotoxic NK cells are classically defined as CD56dimCD16+, recent studies have demonstrated that CD56bright NK cells in fact hold the greatest cytotoxic potential. It has now been shown that regulatory NK cells, classically defined as CD56brightCD16−, can also in fact express CD16. Memory NK cells also present as either CD56bright or CD56dim and CD16+ or CD16−. Other phenotypic markers do not further distinguish NK cell subsets: cytotoxic, regulatory, and memory NK cells can all express either high, low, or absent levels of Natural Cytotoxicity Receptors (NCRs), NKG2A, NKG2C, KIRs, and CD57. Thus, not only can NK cells with the same functional fate express a range of possible phenotypes, but NK cells with opposing functions can express the same phenotype. Indeed, the range of classic NK cell phenotypic profiles are expressed across NK cell fates and are thus insufficient to distinguish NK cell functional subsets. Red denotes receptors classically associated with cytotoxic NK cells; green denotes receptors classically associated with regulatory NK cells; blue denotes receptors classically associated with memory NK cells.
Figure 2Distinct metabolic fingerprints, but not phenotype, underpin NK cell functional fates. (A) Though widely used to define NK cell subsets, classic NK cell phenotypic markers are proving insufficient to comprehensively identify NK cell fates. The range of archetypal NK cell phenotypes are in fact expressed across NK cells with different functional fates. In the absence of distinguishable phenotypes to reliably determine NK cell fate and functional potential, determining what drives and identifies NK cell fate will be instrumental. (B–D) Studies so far have demonstrated that distinct metabolic profiles drive NK cell functions. (B) Cytotoxic NK cells are fueled primarily by glucose. Upon activation, cytotoxic NK cells increase rates of glucose-driven glycolysis and OxPhos which in turn drive cytotoxic functions. A greater capacity for glucose metabolism through glycolysis and OxPhos identifies NK cells with the greatest cytotoxic abilities. (C) NK cells are polarized to a regulatory fate under hypoxic and glycolysis-limiting conditions. Thus, regulatory functions are promoted under low levels of glycolysis and OxPhos and may rely on fuels other than glucose, such as fatty acids or amino acids. (D) Memory NK cells exhibit enhanced mitochondrial fitness. During the contraction phase of an immune response, NK cells undergo autophagy to clear dysfunctional mitochondria, which is required for the generation of a memory NK cell pool. Memory NK cells exhibit an increased spare respiratory capacity (SRC) and membrane potential (Δψm) and reduced levels of reactive oxygen species (ROS). While memory NK cells maintain an enhanced capacity for glucose metabolism, they also up-regulate genes involved in lipid metabolism. Such a diversification in fuels in memory NK cells may provide metabolic adaptability to support longevity and the greater energy demands for enhanced function upon re-activation. Taken together, a paradigm in which distinct metabolic fingerprints comprehensively distinguish and drive the range of NK cell functional fates warrants further exploration.