Cell Stem Cell
Available online 15 May 2024
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Autophagy counters inflammation-driven glycolytic impairment in aging hematopoietic stem cells

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Highlights

  • Differences in autophagy levels in old HSCs are environmentally mediated

  • Autophagy is activated secondary to chronic inflammation-induced glycolysis suppression

  • Socs3 mediates metabolic suppression and autophagy adaptation in old HSCs

  • Fasting/refeeding restores the glycolytic state and regenerative capacity of old HSCs

Summary

Autophagy is central to the benefits of longevity signaling programs and to hematopoietic stem cell (HSC) response to nutrient stress. With age, a subset of HSCs increases autophagy flux and preserves regenerative capacity, but the signals triggering autophagy and maintaining the functionality of autophagy-activated old HSCs (oHSCs) remain unknown. Here, we demonstrate that autophagy is an adaptive cytoprotective response to chronic inflammation in the aging murine bone marrow (BM) niche. We find that inflammation impairs glucose uptake and suppresses glycolysis in oHSCs through Socs3-mediated inhibition of AKT/FoxO-dependent signaling, with inflammation-mediated autophagy engagement preserving functional quiescence by enabling metabolic adaptation to glycolytic impairment. Moreover, we show that transient autophagy induction via a short-term fasting/refeeding paradigm normalizes glycolytic flux and significantly boosts oHSC regenerative potential. Our results identify inflammation-driven glucose hypometabolism as a key driver of HSC dysfunction with age and establish autophagy as a targetable node to reset oHSC regenerative capacity.

Introduction

Although different tissues undergo distinct alterations with age, one overarching hallmark of aging is reduced stem cell function in regenerative tissues.1 The composition of the blood system evolves with age alongside well-characterized changes in hematopoietic stem cell (HSC) activity, including an age-dependent expansion of the HSC pool with decreased regenerative potential in transplantation assays, a skewed differentiation toward myeloid cell production at the expense of lymphopoiesis and erythropoiesis, and a perturbed state of quiescence characterized by increased stress-response signaling.2 In addition, aging remodels the bone marrow (BM) niche and increases both systemic and microenvironmental inflammation that directly contribute to impaired blood production.3,4,5 Together, these changes promote the onset of blood cancers, increase susceptibility to infections, and drive chronic inflammatory disorders and systemic tissue degeneration in the elderly.2,5,6

HSCs are tightly regulated by their metabolic status, which underlies their sensitivity to metabolic deregulation in aging.7,8 Quiescent HSCs predominantly utilize glycolysis and limit mitochondrial glucose oxidation, whereas activated HSCs increase glucose consumption and link glycolysis with mitochondrial metabolism in order to meet proliferative requirements.8,9 Genetic loss of glycolysis-promoting regulators, or downstream effectors, and aberrant activation of oxidative phosphorylation (OXPHOS) prevent maintenance of HSC quiescence and promote stem cell exhaustion.10,11 Fatty acid (FA) oxidation and lipid metabolism are also linked to maintenance of mitochondrial activity and function in quiescent HSCs.12 These metabolic states are closely associated with the regulation of nutrient-sensing signaling pathways and the phosphatidylinositol-3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR)/forkhead transcription factors (FoxO) signaling cascade in HSCs.13,14,15 They are also regulated by fundamental proteostasis mechanisms, particularly macro-autophagy (hereafter called autophagy) that is engaged in HSCs through a FoxO-mediated pathway to withstand starvation16 and is used at steady state to recycle activated mitochondria, maintain lysosomal function, and terminate OXPHOS-mediated pro-differentiation signaling.9,17 Additionally, asymmetric inheritance of lysosomes and autophagosomes predicts HSC activation state,18 and the activity of chaperone-mediated autophagy, a selective form of lysosomal protein degradation that is essential to sustain HSC activation in young mice, decreases over time in old mice.19 By contrast, old HSCs (oHSCs) remain competent for autophagy induction in stress conditions and, in contrast to many other aging cells and tissues, show increased activation of autophagy with age.16 Strikingly, autophagy-activated oHSCs have higher regeneration potential than oHSCs that do not engage autophagy and maintain a more youthful metabolism compared with autophagy-inactivated oHSCs that display an overactive oxidative metabolism.17 However, which signals promote autophagy engagement in the aged HSC compartment and why autophagy activation increases the regenerative potential of oHSCs remain unknown. Understanding these connections has direct translational implications for restoring oHSC function.

Section snippets

No identity drift between oHSC subsets defined by autophagy levels

To explore the differences between oHSCs that do or do not engage autophagy, we used ∼24-month-old Gfp-Lc3 autophagy-reporter mice to isolate autophagy-activated (AThi, 33% of cells with the lowest GFP levels) oHSCs based on their characteristic left-shift in GFP-LC3 fluorescence levels that distinguished them from autophagy non-activated (ATlo, 33% of cells with the highest GFP levels) oHSCs (Figures 1A, S1A, and S1B). We also used ∼2-month-old Gfp-Lc3 mice to isolate young HSCs (yHSCs)

Discussion

Here, we systematically profiled HSCs to identify signals that promote autophagy during aging and the mechanisms by which autophagy sustains the regenerative potential of oHSCs and can be manipulated to improve their regenerative function (Figure S8). We observed a non-clonal increase in chromatin accessibility at metabolic activation and cell stress loci in both AThi and ATlo oHSCs and uncovered a transcriptional inflammatory response program specifically associated with AThi oHSCs. We

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Antibodies
Purified anti-mouse CD3 (17A2)BioLegendCat# 100202
Purified anti-mouse CD4 (GK1.5)eBioscienceCat# 16-0041-82
Purified anti-mouse CD5 (53-7.3)BioLegendCat# 100602
Purified anti-mouse CD8a (53-6.7)BioLegendCat# 100702
Purified anti-mouse/human CD11b (M1/70)BioLegendCat# 101202
Purified anti-mouse/human B220 (RA3-6B2)BioLegendCat# 103202
Purified anti-mouse Gr-1 (RB6-8C5)eBioscienceCat# 14-5931-85
Purified anti-mouse Ter-119 (TER-119)BioLegendCat# 116202
Goat

Acknowledgments

We thank Drs. S. Sebti and B. Levine (UT Southwestern) for shipping bones from Becn1KI mice, O. Olson (CUIMC) for help with Seahorse assays, D. Ho (Stanford) for assistance with CyTOF sample processing, M. Martin-Sandoval and T. Mathews (UT Southwestern) for help generating metabolomic data, M. Kissner for management of the CSCI Flow Cytometry Core Facilities, and all members of the Passegué laboratory for critical insights and suggestions. P.V.D. was supported by NIH F31HL151140, M.A.P. by NIH

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