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Human CD206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters

Increased adipose tissue macrophages (ATMs) correlate with metabolic dysfunction in humans and are causal in development of insulin resistance in mice. Recent bulk and single-cell transcriptomics studies reveal a wide spectrum of gene expression signatures possible for macrophages that depends on co...

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Autores principales: Muir, Lindsey A., Cho, Kae Won, Geletka, Lynn M., Baker, Nicki A., Flesher, Carmen G., Ehlers, Anne P., Kaciroti, Niko, Lindsly, Stephen, Ronquist, Scott, Rajapakse, Indika, O’Rourke, Robert W., Lumeng, Carey N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855803/
https://www.ncbi.nlm.nih.gov/pubmed/34990410
http://dx.doi.org/10.1172/jci.insight.146563
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author Muir, Lindsey A.
Cho, Kae Won
Geletka, Lynn M.
Baker, Nicki A.
Flesher, Carmen G.
Ehlers, Anne P.
Kaciroti, Niko
Lindsly, Stephen
Ronquist, Scott
Rajapakse, Indika
O’Rourke, Robert W.
Lumeng, Carey N.
author_facet Muir, Lindsey A.
Cho, Kae Won
Geletka, Lynn M.
Baker, Nicki A.
Flesher, Carmen G.
Ehlers, Anne P.
Kaciroti, Niko
Lindsly, Stephen
Ronquist, Scott
Rajapakse, Indika
O’Rourke, Robert W.
Lumeng, Carey N.
author_sort Muir, Lindsey A.
collection PubMed
description Increased adipose tissue macrophages (ATMs) correlate with metabolic dysfunction in humans and are causal in development of insulin resistance in mice. Recent bulk and single-cell transcriptomics studies reveal a wide spectrum of gene expression signatures possible for macrophages that depends on context, but the signatures of human ATM subtypes are not well defined in obesity and diabetes. We profiled 3 prominent ATM subtypes from human adipose tissue in obesity and determined their relationship to type 2 diabetes. Visceral adipose tissue (VAT) and s.c. adipose tissue (SAT) samples were collected from diabetic and nondiabetic obese participants to evaluate cellular content and gene expression. VAT CD206(+)CD11c(−) ATMs were increased in diabetic participants, were scavenger receptor–rich with low intracellular lipids, secreted proinflammatory cytokines, and diverged significantly from 2 CD11c(+) ATM subtypes, which were lipid-laden, were lipid antigen presenting, and overlapped with monocyte signatures. Furthermore, diabetic VAT was enriched for CD206(+)CD11c(−) ATM and inflammatory signatures, scavenger receptors, and MHC II antigen presentation genes. VAT immunostaining found CD206(+)CD11c(–) ATMs concentrated in vascularized lymphoid clusters adjacent to CD206(–)CD11c(+) ATMs, while CD206(+)CD11c(+) were distributed between adipocytes. Our results show ATM subtype–specific profiles that uniquely contribute to the phenotypic variation in obesity.
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spelling pubmed-88558032022-02-22 Human CD206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters Muir, Lindsey A. Cho, Kae Won Geletka, Lynn M. Baker, Nicki A. Flesher, Carmen G. Ehlers, Anne P. Kaciroti, Niko Lindsly, Stephen Ronquist, Scott Rajapakse, Indika O’Rourke, Robert W. Lumeng, Carey N. JCI Insight Research Article Increased adipose tissue macrophages (ATMs) correlate with metabolic dysfunction in humans and are causal in development of insulin resistance in mice. Recent bulk and single-cell transcriptomics studies reveal a wide spectrum of gene expression signatures possible for macrophages that depends on context, but the signatures of human ATM subtypes are not well defined in obesity and diabetes. We profiled 3 prominent ATM subtypes from human adipose tissue in obesity and determined their relationship to type 2 diabetes. Visceral adipose tissue (VAT) and s.c. adipose tissue (SAT) samples were collected from diabetic and nondiabetic obese participants to evaluate cellular content and gene expression. VAT CD206(+)CD11c(−) ATMs were increased in diabetic participants, were scavenger receptor–rich with low intracellular lipids, secreted proinflammatory cytokines, and diverged significantly from 2 CD11c(+) ATM subtypes, which were lipid-laden, were lipid antigen presenting, and overlapped with monocyte signatures. Furthermore, diabetic VAT was enriched for CD206(+)CD11c(−) ATM and inflammatory signatures, scavenger receptors, and MHC II antigen presentation genes. VAT immunostaining found CD206(+)CD11c(–) ATMs concentrated in vascularized lymphoid clusters adjacent to CD206(–)CD11c(+) ATMs, while CD206(+)CD11c(+) were distributed between adipocytes. Our results show ATM subtype–specific profiles that uniquely contribute to the phenotypic variation in obesity. American Society for Clinical Investigation 2022-02-08 /pmc/articles/PMC8855803/ /pubmed/34990410 http://dx.doi.org/10.1172/jci.insight.146563 Text en © 2022 Muir et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Muir, Lindsey A.
Cho, Kae Won
Geletka, Lynn M.
Baker, Nicki A.
Flesher, Carmen G.
Ehlers, Anne P.
Kaciroti, Niko
Lindsly, Stephen
Ronquist, Scott
Rajapakse, Indika
O’Rourke, Robert W.
Lumeng, Carey N.
Human CD206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters
title Human CD206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters
title_full Human CD206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters
title_fullStr Human CD206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters
title_full_unstemmed Human CD206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters
title_short Human CD206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters
title_sort human cd206(+) macrophages associate with diabetes and adipose tissue lymphoid clusters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855803/
https://www.ncbi.nlm.nih.gov/pubmed/34990410
http://dx.doi.org/10.1172/jci.insight.146563
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