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Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials
Biomaterial characteristics such as surface topographies have been shown to modulate macrophage phenotypes. The standard methodologies to measure macrophage response to biomaterials are marker-based and invasive. Raman microspectroscopy (RM) is a marker-independent, noninvasive technology that allow...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719892/ https://www.ncbi.nlm.nih.gov/pubmed/34934001 http://dx.doi.org/10.1073/pnas.2113694118 |
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author | Feuerer, Nora Marzi, Julia Brauchle, Eva M. Carvajal Berrio, Daniel A. Billing, Florian Weiss, Martin Jakobi, Meike Schneiderhan-Marra, Nicole Shipp, Christopher Schenke-Layland, Katja |
author_facet | Feuerer, Nora Marzi, Julia Brauchle, Eva M. Carvajal Berrio, Daniel A. Billing, Florian Weiss, Martin Jakobi, Meike Schneiderhan-Marra, Nicole Shipp, Christopher Schenke-Layland, Katja |
author_sort | Feuerer, Nora |
collection | PubMed |
description | Biomaterial characteristics such as surface topographies have been shown to modulate macrophage phenotypes. The standard methodologies to measure macrophage response to biomaterials are marker-based and invasive. Raman microspectroscopy (RM) is a marker-independent, noninvasive technology that allows the analysis of living cells without the need for staining or processing. In the present study, we analyzed human monocyte-derived macrophages (MDMs) using RM, revealing that macrophage activation by lipopolysaccharides (LPS), interferons (IFN), or cytokines can be identified by lipid composition, which significantly differs in M0 (resting), M1 (IFN-γ/LPS), M2a (IL-4/IL-13), and M2c (IL-10) MDMs. To identify the impact of a biomaterial on MDM phenotype and polarization, we cultured macrophages on titanium disks with varying surface topographies and analyzed the adherent MDMs with RM. We detected surface topography–induced changes in MDM biochemistry and lipid composition that were not shown by less sensitive standard methods such as cytokine expression or surface antigen analysis. Our data suggest that RM may enable a more precise classification of macrophage activation and biomaterial–macrophage interaction. |
format | Online Article Text |
id | pubmed-8719892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-87198922022-01-21 Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials Feuerer, Nora Marzi, Julia Brauchle, Eva M. Carvajal Berrio, Daniel A. Billing, Florian Weiss, Martin Jakobi, Meike Schneiderhan-Marra, Nicole Shipp, Christopher Schenke-Layland, Katja Proc Natl Acad Sci U S A Physical Sciences Biomaterial characteristics such as surface topographies have been shown to modulate macrophage phenotypes. The standard methodologies to measure macrophage response to biomaterials are marker-based and invasive. Raman microspectroscopy (RM) is a marker-independent, noninvasive technology that allows the analysis of living cells without the need for staining or processing. In the present study, we analyzed human monocyte-derived macrophages (MDMs) using RM, revealing that macrophage activation by lipopolysaccharides (LPS), interferons (IFN), or cytokines can be identified by lipid composition, which significantly differs in M0 (resting), M1 (IFN-γ/LPS), M2a (IL-4/IL-13), and M2c (IL-10) MDMs. To identify the impact of a biomaterial on MDM phenotype and polarization, we cultured macrophages on titanium disks with varying surface topographies and analyzed the adherent MDMs with RM. We detected surface topography–induced changes in MDM biochemistry and lipid composition that were not shown by less sensitive standard methods such as cytokine expression or surface antigen analysis. Our data suggest that RM may enable a more precise classification of macrophage activation and biomaterial–macrophage interaction. National Academy of Sciences 2021-12-21 2021-12-28 /pmc/articles/PMC8719892/ /pubmed/34934001 http://dx.doi.org/10.1073/pnas.2113694118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Feuerer, Nora Marzi, Julia Brauchle, Eva M. Carvajal Berrio, Daniel A. Billing, Florian Weiss, Martin Jakobi, Meike Schneiderhan-Marra, Nicole Shipp, Christopher Schenke-Layland, Katja Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials |
title | Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials |
title_full | Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials |
title_fullStr | Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials |
title_full_unstemmed | Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials |
title_short | Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials |
title_sort | lipidome profiling with raman microspectroscopy identifies macrophage response to surface topographies of implant materials |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719892/ https://www.ncbi.nlm.nih.gov/pubmed/34934001 http://dx.doi.org/10.1073/pnas.2113694118 |
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