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Integrated Transcriptomics Establish Macrophage Polarization Signatures and have Potential Applications for Clinical Health and Disease

Growing evidence defines macrophages (Mφ) as plastic cells with wide-ranging states of activation and expression of different markers that are time and location dependent. Distinct from the simple M1/M2 dichotomy initially proposed, extensive diversity of macrophage phenotypes have been extensively...

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Autores principales: Becker, Matheus, De Bastiani, Marco A., Parisi, Mariana M., Guma, Fátima T. C. R., Markoski, Melissa M., Castro, Mauro A. A., Kaplan, Mark H., Barbé-Tuana, Florencia M., Klamt, Fábio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548187/
https://www.ncbi.nlm.nih.gov/pubmed/26302899
http://dx.doi.org/10.1038/srep13351
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author Becker, Matheus
De Bastiani, Marco A.
Parisi, Mariana M.
Guma, Fátima T. C. R.
Markoski, Melissa M.
Castro, Mauro A. A.
Kaplan, Mark H.
Barbé-Tuana, Florencia M.
Klamt, Fábio
author_facet Becker, Matheus
De Bastiani, Marco A.
Parisi, Mariana M.
Guma, Fátima T. C. R.
Markoski, Melissa M.
Castro, Mauro A. A.
Kaplan, Mark H.
Barbé-Tuana, Florencia M.
Klamt, Fábio
author_sort Becker, Matheus
collection PubMed
description Growing evidence defines macrophages (Mφ) as plastic cells with wide-ranging states of activation and expression of different markers that are time and location dependent. Distinct from the simple M1/M2 dichotomy initially proposed, extensive diversity of macrophage phenotypes have been extensively demonstrated as characteristic features of monocyte-macrophage differentiation, highlighting the difficulty of defining complex profiles by a limited number of genes. Since the description of macrophage activation is currently contentious and confusing, the generation of a simple and reliable framework to categorize major Mφ phenotypes in the context of complex clinical conditions would be extremely relevant to unravel different roles played by these cells in pathophysiological scenarios. In the current study, we integrated transcriptome data using bioinformatics tools to generate two macrophage molecular signatures. We validated our signatures in in vitro experiments and in clinical samples. More importantly, we were able to attribute prognostic and predictive values to components of our signatures. Our study provides a framework to guide the interrogation of macrophage phenotypes in the context of health and disease. The approach described here could be used to propose new biomarkers for diagnosis in diverse clinical settings including dengue infections, asthma and sepsis resolution.
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spelling pubmed-45481872015-08-26 Integrated Transcriptomics Establish Macrophage Polarization Signatures and have Potential Applications for Clinical Health and Disease Becker, Matheus De Bastiani, Marco A. Parisi, Mariana M. Guma, Fátima T. C. R. Markoski, Melissa M. Castro, Mauro A. A. Kaplan, Mark H. Barbé-Tuana, Florencia M. Klamt, Fábio Sci Rep Article Growing evidence defines macrophages (Mφ) as plastic cells with wide-ranging states of activation and expression of different markers that are time and location dependent. Distinct from the simple M1/M2 dichotomy initially proposed, extensive diversity of macrophage phenotypes have been extensively demonstrated as characteristic features of monocyte-macrophage differentiation, highlighting the difficulty of defining complex profiles by a limited number of genes. Since the description of macrophage activation is currently contentious and confusing, the generation of a simple and reliable framework to categorize major Mφ phenotypes in the context of complex clinical conditions would be extremely relevant to unravel different roles played by these cells in pathophysiological scenarios. In the current study, we integrated transcriptome data using bioinformatics tools to generate two macrophage molecular signatures. We validated our signatures in in vitro experiments and in clinical samples. More importantly, we were able to attribute prognostic and predictive values to components of our signatures. Our study provides a framework to guide the interrogation of macrophage phenotypes in the context of health and disease. The approach described here could be used to propose new biomarkers for diagnosis in diverse clinical settings including dengue infections, asthma and sepsis resolution. Nature Publishing Group 2015-08-25 /pmc/articles/PMC4548187/ /pubmed/26302899 http://dx.doi.org/10.1038/srep13351 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Becker, Matheus
De Bastiani, Marco A.
Parisi, Mariana M.
Guma, Fátima T. C. R.
Markoski, Melissa M.
Castro, Mauro A. A.
Kaplan, Mark H.
Barbé-Tuana, Florencia M.
Klamt, Fábio
Integrated Transcriptomics Establish Macrophage Polarization Signatures and have Potential Applications for Clinical Health and Disease
title Integrated Transcriptomics Establish Macrophage Polarization Signatures and have Potential Applications for Clinical Health and Disease
title_full Integrated Transcriptomics Establish Macrophage Polarization Signatures and have Potential Applications for Clinical Health and Disease
title_fullStr Integrated Transcriptomics Establish Macrophage Polarization Signatures and have Potential Applications for Clinical Health and Disease
title_full_unstemmed Integrated Transcriptomics Establish Macrophage Polarization Signatures and have Potential Applications for Clinical Health and Disease
title_short Integrated Transcriptomics Establish Macrophage Polarization Signatures and have Potential Applications for Clinical Health and Disease
title_sort integrated transcriptomics establish macrophage polarization signatures and have potential applications for clinical health and disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548187/
https://www.ncbi.nlm.nih.gov/pubmed/26302899
http://dx.doi.org/10.1038/srep13351
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