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AFF3 maintains metabolic quiescence in naive CD8 T cells and prevents premature immune aging
Molly E. Lumnitzer, Stefanie F. Valbon, Stephanie A. Condotta, Allison E. Norlander, Sheng Liu, Jun Wan, Martin J. Richer
Molly E. Lumnitzer, Stefanie F. Valbon, Stephanie A. Condotta, Allison E. Norlander, Sheng Liu, Jun Wan, Martin J. Richer
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Research Article Aging Immunology Metabolism

AFF3 maintains metabolic quiescence in naive CD8 T cells and prevents premature immune aging

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Abstract

It is necessary for naive CD8 T cells to be actively maintained in a quiescent metabolic state in order to respond robustly to infection while avoiding inappropriate activation during homeostasis. With age, this quiescent state is lost and the CD8 T cell response to infection decreases. The factors regulating metabolic quiescence of CD8 T cells and how this regulation is lost during aging are not completely understood. Herein, we identify the transcription factor AFF3 as a regulator of metabolic quiescence in naive CD8 T cells. While naive AFF3-deficient CD8 T cells are more metabolically active prior to infection, they have reduced accumulation in response to viral infection, and this is correlated with a poor capacity to engage glycolysis. During aging in both murine and human CD8 T cells, AFF3 expression is decreased. In mice, this is associated with a loss of metabolic quiescence and reduced capacity to accumulate following infection. Our data highlight the role of metabolic regulation in CD8 T cell quiescence and identify a transcription factor that may be a target to reinvigorate CD8 T cell responses during aging.

Authors

Molly E. Lumnitzer, Stefanie F. Valbon, Stephanie A. Condotta, Allison E. Norlander, Sheng Liu, Jun Wan, Martin J. Richer

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Figure 6

AFF3 expression is decreased with age and is associated with a loss of metabolic quiescence.

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AFF3 expression is decreased with age and is associated with a loss of m...
(A) Graph showing the correlation of DEGs in naive AFF3-KO CD8 T cells versus WT CD8 T cells and aged versus young WT CD8 T cells. (B) Heatmap showing top changed genes in AFF3-KO CD8 T cells and aged WT CD8 T cells compared with young WT controls. (C) Relative gene expression of Aff3 in young (<5 months) and aging (>12 months) splenic WT CD8 T cells determined by RT-qPCR analysis. (D) Relative AFF3 expression in young (22–33 years old) versus aged human (60–68 years old) naive CD44lo CD8 T cells isolated from PBMCs determined by RT-qPCR analysis. (E) Representative flow plots showing the frequency of the cotransfer input of aging CD8 T cells donors or young CD8 T cell donors. (F) Frequency of transferred CD8 T cells in the spleens of young or aged WT recipient mice 8 dpi with LCMV Arm. (G) Metabolic analysis of splenic CD8 T cells. OCR over time using a mitochondrial stress test. (H) Basal respiration (first panel), spare respiratory capacity (middle panel), and maximal respiration (last panel) were determined by the OCR in the Seahorse analysis. (C, E, and F) Representative of 2 experiments, n = 3–5 per group. (D) Representative of 1 experiment, n = 8–9 samples per group. (G and H) Representative of 1 experiment, n = 3–4 per group with 3 technical replicates per mouse, age of mice in each sample indicated in the figure legend. (C) Groups compared using unpaired Student’s t test, *P <0.05. (F) Groups compared using paired Student’s t test, ***P < 0.001, ****P < 0.0001. (H) Groups compared using 1-way ANOVA with post hoc test, **P < 0.01. Data represent mean ± SEM.

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