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Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics

OBJECTIVE: Shotgun lipidomics enables an extensive analysis of lipids from tissues and fluids. Each specimen requires appropriate extraction and processing procedures to ensure good coverage and reproducible quantification of the lipidome. Adipose tissue (AT) has become a research focus with regard...

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Autores principales: Grzybek, Michal, Palladini, Alessandra, Alexaki, Vasileia I., Surma, Michal A., Simons, Kai, Chavakis, Triantafyllos, Klose, Christian, Coskun, Ünal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437637/
https://www.ncbi.nlm.nih.gov/pubmed/30777728
http://dx.doi.org/10.1016/j.molmet.2019.01.009
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author Grzybek, Michal
Palladini, Alessandra
Alexaki, Vasileia I.
Surma, Michal A.
Simons, Kai
Chavakis, Triantafyllos
Klose, Christian
Coskun, Ünal
author_facet Grzybek, Michal
Palladini, Alessandra
Alexaki, Vasileia I.
Surma, Michal A.
Simons, Kai
Chavakis, Triantafyllos
Klose, Christian
Coskun, Ünal
author_sort Grzybek, Michal
collection PubMed
description OBJECTIVE: Shotgun lipidomics enables an extensive analysis of lipids from tissues and fluids. Each specimen requires appropriate extraction and processing procedures to ensure good coverage and reproducible quantification of the lipidome. Adipose tissue (AT) has become a research focus with regard to its involvement in obesity-related pathologies. However, the quantification of the AT lipidome is particularly challenging due to the predominance of triacylglycerides, which elicit high ion suppression of the remaining lipid classes. METHODS: We present a new and validated method for shotgun lipidomics of AT, which tailors the lipid extraction procedure to the target specimen and features high reproducibility with a linear dynamic range of at least 4 orders of magnitude for all lipid classes. RESULTS: Utilizing this method, we observed tissue-specific and diet-related differences in three AT types (brown, gonadal, inguinal subcutaneous) from lean and obese mice. Brown AT exhibited a distinct lipidomic profile with the greatest lipid class diversity and responded to high-fat diet by altering its lipid composition, which shifted towards that of white AT. Moreover, diet-induced obesity promoted an overall remodeling of the lipidome, where all three AT types featured a significant increase in longer and more unsaturated triacylglyceride and phospholipid species. CONCLUSIONS: The here presented method facilitates reproducible systematic lipidomic profiling of AT and could be integrated with further –omics approaches used in (pre-) clinical research, in order to advance the understanding of the molecular metabolic dynamics involved in the pathogenesis of obesity-associated disorders.
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spelling pubmed-64376372019-04-11 Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics Grzybek, Michal Palladini, Alessandra Alexaki, Vasileia I. Surma, Michal A. Simons, Kai Chavakis, Triantafyllos Klose, Christian Coskun, Ünal Mol Metab Original Article OBJECTIVE: Shotgun lipidomics enables an extensive analysis of lipids from tissues and fluids. Each specimen requires appropriate extraction and processing procedures to ensure good coverage and reproducible quantification of the lipidome. Adipose tissue (AT) has become a research focus with regard to its involvement in obesity-related pathologies. However, the quantification of the AT lipidome is particularly challenging due to the predominance of triacylglycerides, which elicit high ion suppression of the remaining lipid classes. METHODS: We present a new and validated method for shotgun lipidomics of AT, which tailors the lipid extraction procedure to the target specimen and features high reproducibility with a linear dynamic range of at least 4 orders of magnitude for all lipid classes. RESULTS: Utilizing this method, we observed tissue-specific and diet-related differences in three AT types (brown, gonadal, inguinal subcutaneous) from lean and obese mice. Brown AT exhibited a distinct lipidomic profile with the greatest lipid class diversity and responded to high-fat diet by altering its lipid composition, which shifted towards that of white AT. Moreover, diet-induced obesity promoted an overall remodeling of the lipidome, where all three AT types featured a significant increase in longer and more unsaturated triacylglyceride and phospholipid species. CONCLUSIONS: The here presented method facilitates reproducible systematic lipidomic profiling of AT and could be integrated with further –omics approaches used in (pre-) clinical research, in order to advance the understanding of the molecular metabolic dynamics involved in the pathogenesis of obesity-associated disorders. Elsevier 2019-01-30 /pmc/articles/PMC6437637/ /pubmed/30777728 http://dx.doi.org/10.1016/j.molmet.2019.01.009 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Grzybek, Michal
Palladini, Alessandra
Alexaki, Vasileia I.
Surma, Michal A.
Simons, Kai
Chavakis, Triantafyllos
Klose, Christian
Coskun, Ünal
Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics
title Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics
title_full Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics
title_fullStr Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics
title_full_unstemmed Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics
title_short Comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics
title_sort comprehensive and quantitative analysis of white and brown adipose tissue by shotgun lipidomics
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6437637/
https://www.ncbi.nlm.nih.gov/pubmed/30777728
http://dx.doi.org/10.1016/j.molmet.2019.01.009
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