M1-derived extracellular vesicles polarize recipient macrophages into M2-like macrophages and alter skeletal muscle homeostasis in a hyper-glucose environment.

Extracellular vesicles Hyperglycemia Lipid metabolism Macrophage Oxidative phosphorylation Skeletal muscle

Journal

Cell communication and signaling : CCS
ISSN: 1478-811X
Titre abrégé: Cell Commun Signal
Pays: England
ID NLM: 101170464

Informations de publication

Date de publication:
27 Mar 2024
Historique:
received: 06 07 2023
accepted: 04 03 2024
medline: 28 3 2024
pubmed: 28 3 2024
entrez: 28 3 2024
Statut: epublish

Résumé

Macrophages release not only cytokines but also extracellular vesicles (EVs). which are small membrane-derived nanovesicles with virus-like properties transferring cellular material between cells. Until now, the consequences of macrophage plasticity on the release and the composition of EVs have been poorly explored. In this study, we determined the impact of high-glucose (HG) concentrations on macrophage metabolism, and characterized their derived-EV subpopulations. Finally, we determined whether HG-treated macrophage-derived EVs participate in immune responses and in metabolic alterations of skeletal muscle cells. THP1-macrophages were treated with 15mM (MG15) or 30mM (MG30) glucose. Then, M1/M2 canonical markers, pro- and anti-inflammatory cytokines, activities of proteins involved in glycolysis or oxidative phosphorylation were evaluated. Macrophage-derived EVs were characterized by TEM, NTA, MRSP, and Untreated macrophages released small and large EVs (sEVs, lEVs) with different lipid distributions. Proportionally to the glucose concentration, glycolysis was induced in macrophages, associated to mitochondrial dysfunction, triacylglycerol and cholesterol accumulation. In addition, MG15 and MG30 macrophages had increased level of CD86 and increase release of pro-inflammatory cytokines. HG also affected macrophage sphingolipid and phospholipid compositions. The differences in the lipid profiles between sEVs and lEVs were abolished and reflected the lipid alterations in MG15 and MG30 macrophages. Interestingly, MG15 and MG30 macrophages EVs induced the expression of CD163, Il-10 and increased the contents of triacylglycerol and cholesterol in recipient macrophages. MG15 lEVs and sEVs induced insulin-induced AKT hyper-phosphorylation and accumulation of triacylglycerol in myotubes, a state observed in pre-diabetes. Conversely, MG30 lEVs and sEVs induced insulin-resistance in myotubes. As inflammation involves first M1 macrophages, then the activation of M2 macrophages to resolve inflammation, this study demonstrates that the dialog between macrophages through the EV route is an intrinsic part of the inflammatory response. In a hyperglycemic context, EV macrophages could participate in the development of muscle insulin-resistance and chronic inflammation.

Sections du résumé

BACKGROUND BACKGROUND
Macrophages release not only cytokines but also extracellular vesicles (EVs). which are small membrane-derived nanovesicles with virus-like properties transferring cellular material between cells. Until now, the consequences of macrophage plasticity on the release and the composition of EVs have been poorly explored. In this study, we determined the impact of high-glucose (HG) concentrations on macrophage metabolism, and characterized their derived-EV subpopulations. Finally, we determined whether HG-treated macrophage-derived EVs participate in immune responses and in metabolic alterations of skeletal muscle cells.
METHODS METHODS
THP1-macrophages were treated with 15mM (MG15) or 30mM (MG30) glucose. Then, M1/M2 canonical markers, pro- and anti-inflammatory cytokines, activities of proteins involved in glycolysis or oxidative phosphorylation were evaluated. Macrophage-derived EVs were characterized by TEM, NTA, MRSP, and
RESULTS RESULTS
Untreated macrophages released small and large EVs (sEVs, lEVs) with different lipid distributions. Proportionally to the glucose concentration, glycolysis was induced in macrophages, associated to mitochondrial dysfunction, triacylglycerol and cholesterol accumulation. In addition, MG15 and MG30 macrophages had increased level of CD86 and increase release of pro-inflammatory cytokines. HG also affected macrophage sphingolipid and phospholipid compositions. The differences in the lipid profiles between sEVs and lEVs were abolished and reflected the lipid alterations in MG15 and MG30 macrophages. Interestingly, MG15 and MG30 macrophages EVs induced the expression of CD163, Il-10 and increased the contents of triacylglycerol and cholesterol in recipient macrophages. MG15 lEVs and sEVs induced insulin-induced AKT hyper-phosphorylation and accumulation of triacylglycerol in myotubes, a state observed in pre-diabetes. Conversely, MG30 lEVs and sEVs induced insulin-resistance in myotubes.
CONCLUSIONS CONCLUSIONS
As inflammation involves first M1 macrophages, then the activation of M2 macrophages to resolve inflammation, this study demonstrates that the dialog between macrophages through the EV route is an intrinsic part of the inflammatory response. In a hyperglycemic context, EV macrophages could participate in the development of muscle insulin-resistance and chronic inflammation.

Identifiants

pubmed: 38539237
doi: 10.1186/s12964-024-01560-7
pii: 10.1186/s12964-024-01560-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

193

Subventions

Organisme : FRENCH AGENCY OF RESEARCH (ANR)
ID : ANR MEXID-21-CE14-0081

Informations de copyright

© 2024. The Author(s).

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Auteurs

Stefano Tacconi (S)

CarMeN Laboratory, UMR (INSERM 1060/INRA 1397), HCL, Lyon 1 University, Pierre- Bénite, France.
Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce, Italy.
Research Center of Nanotechnologies for Engineering (CNIS), Sapienza University of Roma, Roma, Italy.

Francesco Vari (F)

Department of Biology and Biotechnology "C. Darwin", Sapienza University of Roma, Roma, Italy.

Carolina Sbarigia (C)

Department of Biology and Biotechnology "C. Darwin", Sapienza University of Roma, Roma, Italy.

Diana Vardanyan (D)

Department of Biology and Biotechnology "C. Darwin", Sapienza University of Roma, Roma, Italy.

Serena Longo (S)

Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce, Italy.

Francesco Mura (F)

Research Center of Nanotechnologies for Engineering (CNIS), Sapienza University of Roma, Roma, Italy.

Federica Angilè (F)

Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce, Italy.

Audrey Jalabert (A)

CarMeN Laboratory, UMR (INSERM 1060/INRA 1397), HCL, Lyon 1 University, Pierre- Bénite, France.

Ferninand Blangero (F)

CarMeN Laboratory, UMR (INSERM 1060/INRA 1397), HCL, Lyon 1 University, Pierre- Bénite, France.

Assia Eljaafari (A)

CarMeN Laboratory, UMR (INSERM 1060/INRA 1397), HCL, Lyon 1 University, Pierre- Bénite, France.

Laurence Canaple (L)

Ecole Normale Supérieure de Lyon, SFR BIOSCIENCES UAR3444, Lyon, France.

Daniele Vergara (D)

Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce, Italy.

Francesco Paolo Fanizzi (FP)

Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce, Italy.

Marco Rossi (M)

Research Center of Nanotechnologies for Engineering (CNIS), Sapienza University of Roma, Roma, Italy.
Department of Basic and Applied Sciences for Engineering, University of Rome Sapienza, Roma, Italy.

Claire Crola Da Silva (CC)

CarMeN Laboratory, UMR (INSERM 1060/INRA 1397), HCL, Lyon 1 University, Pierre- Bénite, France.

Elizabeth Errazuriz-Cerda (E)

Centre d'Imagerie Quantitative Lyon Est (CIQLE), Lyon 1 University, Lyon, France.

Christel Cassin (C)

Centre d'Imagerie Quantitative Lyon Est (CIQLE), Lyon 1 University, Lyon, France.

Rienk Nieuwland (R)

Laboratory of Experimental Clinical Chemistry, Department of Clinical Chemistry, Amsterdam Vesicle Center, AMC, Amsterdam UMC, Amsterdam, Netherlands.

Anna Maria Giudetti (AM)

Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.), University of Salento, Lecce, Italy.

Sophie Rome (S)

CarMeN Laboratory, UMR (INSERM 1060/INRA 1397), HCL, Lyon 1 University, Pierre- Bénite, France. srome@univ-lyon1.fr.

Luciana Dini (L)

Department of Biology and Biotechnology "C. Darwin", Sapienza University of Roma, Roma, Italy. luciana.dini@uniroma1.it.
Research Center of Nanotechnologies for Engineering (CNIS), Sapienza University of Roma, Roma, Italy. luciana.dini@uniroma1.it.

Classifications MeSH