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Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma
Scientists currently use only a small portion of the information contained in the blood metabolome. The identification of metabolites is a huge challenge because only highly abundant and well-separated compounds can be easily identified in complex samples. However, new approaches that enhance the id...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014187/ https://www.ncbi.nlm.nih.gov/pubmed/31952343 http://dx.doi.org/10.3390/ijms21020568 |
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author | Lokhov, Petr G. Balashova, Elena E. Trifonova, Oxana P. Maslov, Dmitry L. Ponomarenko, Elena A. Archakov, Alexander I. |
author_facet | Lokhov, Petr G. Balashova, Elena E. Trifonova, Oxana P. Maslov, Dmitry L. Ponomarenko, Elena A. Archakov, Alexander I. |
author_sort | Lokhov, Petr G. |
collection | PubMed |
description | Scientists currently use only a small portion of the information contained in the blood metabolome. The identification of metabolites is a huge challenge because only highly abundant and well-separated compounds can be easily identified in complex samples. However, new approaches that enhance the identification of compounds have emerged; among them, the identification of compounds based on their involvement in a particular biological context is a recent development. In this work, this approach was first applied to identify metabolites in complex samples and, together with metabolite set enrichment analysis, was used for the evaluation of blood plasma from obese patients. The proposed approach was found to provide a statistically sound overview of the biochemical pathways, thus presenting additional information on obesity. Obesity progression was demonstrated to be accompanied by marked alterations in steroidogenesis, androstenedione metabolism, and androgen and estrogen metabolism. The findings of this study suggest that the workflow used for blood analysis is sufficient to demonstrate obesity at the biochemical pathway level as well as to monitor the response to treatment. This workflow is also expected to be suitable for studying other metabolic diseases. |
format | Online Article Text |
id | pubmed-7014187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70141872020-03-09 Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma Lokhov, Petr G. Balashova, Elena E. Trifonova, Oxana P. Maslov, Dmitry L. Ponomarenko, Elena A. Archakov, Alexander I. Int J Mol Sci Article Scientists currently use only a small portion of the information contained in the blood metabolome. The identification of metabolites is a huge challenge because only highly abundant and well-separated compounds can be easily identified in complex samples. However, new approaches that enhance the identification of compounds have emerged; among them, the identification of compounds based on their involvement in a particular biological context is a recent development. In this work, this approach was first applied to identify metabolites in complex samples and, together with metabolite set enrichment analysis, was used for the evaluation of blood plasma from obese patients. The proposed approach was found to provide a statistically sound overview of the biochemical pathways, thus presenting additional information on obesity. Obesity progression was demonstrated to be accompanied by marked alterations in steroidogenesis, androstenedione metabolism, and androgen and estrogen metabolism. The findings of this study suggest that the workflow used for blood analysis is sufficient to demonstrate obesity at the biochemical pathway level as well as to monitor the response to treatment. This workflow is also expected to be suitable for studying other metabolic diseases. MDPI 2020-01-15 /pmc/articles/PMC7014187/ /pubmed/31952343 http://dx.doi.org/10.3390/ijms21020568 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lokhov, Petr G. Balashova, Elena E. Trifonova, Oxana P. Maslov, Dmitry L. Ponomarenko, Elena A. Archakov, Alexander I. Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma |
title | Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma |
title_full | Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma |
title_fullStr | Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma |
title_full_unstemmed | Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma |
title_short | Mass Spectrometry-Based Metabolomics Analysis of Obese Patients’ Blood Plasma |
title_sort | mass spectrometry-based metabolomics analysis of obese patients’ blood plasma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014187/ https://www.ncbi.nlm.nih.gov/pubmed/31952343 http://dx.doi.org/10.3390/ijms21020568 |
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