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Usage Information

Glycolytic requirement for NK cell cytotoxicity and cytomegalovirus control
Annelise Y. Mah, Armin Rashidi, Molly P. Keppel, Nermina Saucier, Emily K. Moore, Joshua B. Alinger, Sandeep K. Tripathy, Sandeep K. Agarwal, Emily K. Jeng, Hing C. Wong, Jeffrey S. Miller, Todd A. Fehniger, Emily M. Mace, Anthony R. French, Megan A. Cooper
Annelise Y. Mah, Armin Rashidi, Molly P. Keppel, Nermina Saucier, Emily K. Moore, Joshua B. Alinger, Sandeep K. Tripathy, Sandeep K. Agarwal, Emily K. Jeng, Hing C. Wong, Jeffrey S. Miller, Todd A. Fehniger, Emily M. Mace, Anthony R. French, Megan A. Cooper
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Research Article Immunology

Glycolytic requirement for NK cell cytotoxicity and cytomegalovirus control

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Abstract

NK cell activation has been shown to be metabolically regulated in vitro; however, the role of metabolism during in vivo NK cell responses to infection is unknown. We examined the role of glycolysis in NK cell function during murine cytomegalovirus (MCMV) infection and the ability of IL-15 to prime NK cells during CMV infection. The glucose metabolism inhibitor 2-deoxy-ᴅ-glucose (2DG) impaired both mouse and human NK cell cytotoxicity following priming in vitro. Similarly, MCMV-infected mice treated with 2DG had impaired clearance of NK-specific targets in vivo, which was associated with higher viral burden and susceptibility to infection on the C57BL/6 background. IL-15 priming is known to alter NK cell metabolism and metabolic requirements for activation. Treatment with the IL-15 superagonist ALT-803 rescued mice from otherwise lethal infection in an NK-dependent manner. Consistent with this, treatment of a patient with ALT-803 for recurrent CMV reactivation after hematopoietic cell transplant was associated with clearance of viremia. These studies demonstrate that NK cell–mediated control of viral infection requires glucose metabolism and that IL-15 treatment in vivo can reduce this requirement and may be effective as an antiviral therapy.

Authors

Annelise Y. Mah, Armin Rashidi, Molly P. Keppel, Nermina Saucier, Emily K. Moore, Joshua B. Alinger, Sandeep K. Tripathy, Sandeep K. Agarwal, Emily K. Jeng, Hing C. Wong, Jeffrey S. Miller, Todd A. Fehniger, Emily M. Mace, Anthony R. French, Megan A. Cooper

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Usage data is cumulative from January 2025 through January 2026.

Usage JCI PMC
Text version 1,418 121
PDF 127 42
Figure 654 3
Supplemental data 48 4
Citation downloads 111 0
Totals 2,358 170
Total Views 2,528
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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