| Literature DB >> 34413487 |
Sofie Hedlund Møller1,2, Limei Wang1,2, Ping-Chih Ho3,4.
Abstract
It is being increasingly acknowledged that immune cells depend on certain metabolic traits to perform their functions and that the extracellular environment can influence cell metabolism and vice versa. Dendritic cell (DC) subsets traffic through highly diverse environments from the bone marrow, where they develop, to the various peripheral tissues, where they differentiate and capture antigens, before they migrate to the lymph node to present antigens and prime T cells. It is plausible that DC subsets modulate their stimulatory abilities in response to unique metabolic programming. The metabolic requirements of DCs are just recently being discovered, and subset- and context-specific metabolic phenotypes in DCs are highly intertwined with DC functions. In this review, we present the current knowledge on the intrinsic and extrinsic determinants of DC metabolism, how they regulate DC function with examples from tumor biology and in interaction with the microbiota, and discuss how this can be applied therapeutically.Entities:
Keywords: Dendritic cells; Homeostasis; Immunometabolism; Microbiota; Tumor immunity
Mesh:
Year: 2021 PMID: 34413487 PMCID: PMC8891341 DOI: 10.1038/s41423-021-00753-1
Source DB: PubMed Journal: Cell Mol Immunol ISSN: 1672-7681 Impact factor: 22.096
Common DC subsets and their metabolic requirements
| cDC1 | cDC2 | pDC | moDC | |
|---|---|---|---|---|
| Main function | Antigen cross-presentation to CD8+ T cells, IL-12, IL-6 secretion | Direct antigen-presentation to CD4+ T cells, IL-6, TNF-α, IL-23 secretion | IFN-I production | Antigen presentation and TNF-α, IL-12, IL-23 secretion |
| Transcription factors | Batf3, Irf8, Id2 | Irf4, Notch2, Klf4 | Irf8, E2-2, Irf7 | Klf4, Irf8 |
| Surface markers (mouse) | CD11c, MHCII, XCR1, CLEC9A, CD24, DEC205 CD8α (resident), CD103 (migratory) | CD11c, MHCII, SIRPα, CD11b | CD11clow, MHCIIlow, PDCA1, Siglec H, B220. CD209, SIRPα, | CD11c, MHCII, CD11b, Ly6C,CD14, CCR2 |
| Surface markers (human) | CD11clow, MHCII, XCR1, CLEC9A, CD141, DEC205 | CD11c, MHCII, SIRPα, CD1c, | MHCIIlow, CD123, CLEC4C, CD304, CCR2 | CD11c, MHCII, CD11b CD14, CD1c, CD64, CD206, CD209, SIRPα, CD1a, CCR2 |
| Development and differentiation | PI3K/Akt and mTOR is required for Flt3L-induced DC developmenta,c [ | ROS-inhibition increases cDC1/cDC2a [ | PI3K/Akt and mTOR is required for Flt3L-induced DC developmenta,c [ | Increased mitochondrial activity and ROS is required for differentiation into moDCsd [ |
| Steady-state | OXPHOShigh Glycolysishigh a,c [ | OXPHOSlow Glycolysislow a,c [ | ||
| Early Activation | PRR stimulation induces TBK1/IKKε/Akt-dependent glycolysis and FASa,b [ | TLR induced glutaminolysis-driven OXPHOS required for pDC IFN-I and co-stimulatory moleculese [ | PRR stimulation induces glycolysis and iNOS expressionb,c [ | |
| Mature DC | Glucose-deprivation 8 h after LPS enhance CD8+ T cell primingb [ | Glycolysishigh and iNOS required for survivalc [ |
aIn vitro in Flt3L-differentiated BMDCs
bIn vitro in GM-DCs
cEx vivo/in vivo splenic/lymphoid DCs
dIn vitro human GM-CSF+IL-4 differentiated moDCs
eIn vivo human circulating pDCs
fEx vivo/in vivo tumor-infiltrating DCs (TIDCs)
Fig. 1Metabolic reprogramming at early DC activation. Peripheral lymphoid tissue-resident DCs are ultimately of bone marrow (BM) origin via a common restricted precursor termed common dendritic monocyte precursors (CDPs), which further differentiate into DC progenitors (Pro-DCs) and pDCs. Pro-DCs become immature pre-cDC1s and pre-cDC2s with distinct metabolic programming. AMP-activated kinase (AMPK) (A) or fatty acid oxidation (FAO) (F) promote pre-cDC1 differentiation, and reactive oxygen species (ROS) (R) skew DC differentiation toward pre-cDC2. In the periphery, pre-DCs become immature DCs that produce glycogen through glycogen synthesis (Y). Here, cDC1s rely on more OXPHOS (O) and glycolysis (G) than cDC2s. Glycolysis is highly induced under DC activation and maturation, which is supported by glycogen storage and fuels fatty acid synthesis (S). During the formation of mature immunogenic DCs, the DC antigen presentation process is affected by mTOR (T), while cDC1s support their cross-presentation function through the establishment of distinct and tightly regulated metabolic processes, including glycolysis, oxidative phosphorylation (O), mitochondria (M) and fatty acid metabolism. Mo-DC, monocyte-derived DC; Mi-DC, migration DC
Fig. 2Metabolic reprogramming at early DC activation. Pattern recognition receptor (PRR) stimulation of immature DCs results in acute metabolic reprogramming leading to phosphoinositide 3-kinase (PI3K)/IκB-kinase ε (IKKε)/TANK-binding kinase 1 (TBK1)-dependent enhanced glycolysis fueled by intracellular glycogen storage. Glycolysis supports fatty acid synthesis (FAS), which promotes expansion of the endoplasmic reticulum (ER) and Golgi apparatus that are required for protein synthesis of costimulatory molecules, chemokines and cytokines. Following early activation, mature DCs obtain a cellular metabolism that may depend on the initial stimuli as well as the DC subset
Fig. 3Metabolic regulation of antigen cross-presentation. Antigen cross-presentation requires uptake of extracellular antigen by either receptor-mediated endocytosis or phagocytosis. NADPH oxidase 2 (NOX2) is the major cellular ROS source, and it also maintains an alkaline pH in the early phagosome, which reduces antigen degradation, retaining antigen-peptide for MHC-I loading. Antigens are subsequently transferred to the cytosol and processed by proteasomal degradation before being loaded to MHC-I and presented on the cell surface. As an inhibitor of autophagy, mTORC1 reduces endogenous antigen uptake. Cross-presentation is supported by mitochondria driven by kinases Mst1/Mst2
Fig. 4Metabolic regulation of DC function within the TME. DC metabolism is tightly linked with immune function and may be dysregulated within the TME in several ways. Competition between DCs and tumor cells for limiting resources can result in a lack of nutrient support for metabolic pathways essential to DC activation and maturation. Immunosuppressive cytokines, enzymes, and lipid bodies derived from tumors and tumor-associated cells can all alter metabolic pathways that support antitumor DC function while also driving alternative pathways associated with immune tolerance, including driving the differentiation of tumor-supporting Tregs. Immunosuppressive metabolites (adenosine, lactate, gangliosides and IDO generated by tumor cells) may trigger a shift in DCs from antitumor to protumor functionality. Abbreviations in this figure not defined in the main body of the text: PKM2, pyruvate kinase M2; A2R/A2b, A2 adenosine receptor. MCT, monocarboxylate transporters
Fig. 5Modulation of DC function by gut microbial metabolites. Intestinal DCs sample luminal antigen in the form of commensal bacteria or ingested food from the gut by either penetrating epithelial cell-cell junctions and collecting antigen directly or by receiving antigen by M-cells transporting antigen to DCs in the lymphoid tissue Peyer’s patch. Peyer’s patch-localized DCs present antigens to T cells directly, directing CD4+ T cell differentiation and supporting IgA production by B cells. CD103+ cDCs are the major migratory DCs that traffic antigens to the mesenteric lymph node (mLN) to present antigens to naïve T cells. The gut microbiota produces an abundance of microbially modified metabolites that can modulate immune cells directly in the gut or enter the bloodstream and have systemic effects. The most studied immune-modulating gut-derived metabolites are short-chain fatty acids (SCFAs) that can activate G-protein coupled receptors (GPRs) or act as histone deacetylase inhibitors (HDACis). Secondary bile acids can activate farnesoid X receptor (FXR), vitamin D receptor (VDR) and Takeda G protein coupled receptor 5 (TGR5), among others