Adipose tissue macrophages: Regulators of adipose tissue immunometabolism during obesity.


Journal

Molecular metabolism
ISSN: 2212-8778
Titre abrégé: Mol Metab
Pays: Germany
ID NLM: 101605730

Informations de publication

Date de publication:
12 2022
Historique:
received: 16 09 2022
revised: 07 11 2022
accepted: 14 11 2022
pubmed: 20 11 2022
medline: 21 12 2022
entrez: 19 11 2022
Statut: ppublish

Résumé

Adipose tissue macrophages (ATMs) are a well characterized regulator of adipose tissue inflammatory tone. Previously defined by the M1 vs M2 classification, we now have a better understanding of ATM diversity that departs from the old paradigm and reports a spectrum of ATM function and phenotypes in both brown and white adipose tissue. This review provides an updated overview of ATM activation and function, ATM diversity in humans and rodents, and novel ATM functions that contribute to metabolic homeostasis and disease. While the paradigm that resident ATMs predominate in the lean state and obesity leads to the accumulation of lipid-associated and inflammatory ATMs still broadly remains rigorously supported, the details of this model continue to be refined and single cell data provide new insight into ATM subtypes and states.

Sections du résumé

BACKGROUND
Adipose tissue macrophages (ATMs) are a well characterized regulator of adipose tissue inflammatory tone. Previously defined by the M1 vs M2 classification, we now have a better understanding of ATM diversity that departs from the old paradigm and reports a spectrum of ATM function and phenotypes in both brown and white adipose tissue.
SCOPE OF REVIEW
This review provides an updated overview of ATM activation and function, ATM diversity in humans and rodents, and novel ATM functions that contribute to metabolic homeostasis and disease.
MAJOR CONCLUSIONS
While the paradigm that resident ATMs predominate in the lean state and obesity leads to the accumulation of lipid-associated and inflammatory ATMs still broadly remains rigorously supported, the details of this model continue to be refined and single cell data provide new insight into ATM subtypes and states.

Identifiants

pubmed: 36402403
pii: S2212-8778(22)00211-3
doi: 10.1016/j.molmet.2022.101642
pmc: PMC9703629
pii:
doi:

Types de publication

Journal Article Review Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

101642

Subventions

Organisme : NIDDK NIH HHS
ID : F31 DK122724
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK090262
Pays : United States

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier GmbH.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sierra A Nance (SA)

Molecular & Integrative Physiology, University of Michigan Medical School, United States; Department of Pediatrics, University of Michigan Medical School, United States.

Lindsey Muir (L)

Computational Medicine and Bioinformatics, University of Michigan Medical School, United States.

Carey Lumeng (C)

Molecular & Integrative Physiology, University of Michigan Medical School, United States; Department of Pediatrics, University of Michigan Medical School, United States. Electronic address: clumeng@umich.edu.

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