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A Metabolomics Approach to Pharmacotherapy Personalization
The optimization of drug therapy according to the personal characteristics of patients is a perspective direction in modern medicine. One of the possible ways to achieve such personalization is through the application of “omics” technologies, including current, promising metabolomics methods. This r...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164342/ https://www.ncbi.nlm.nih.gov/pubmed/30189667 http://dx.doi.org/10.3390/jpm8030028 |
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author | Balashova, Elena E. Maslov, Dmitry L. Lokhov, Petr G. |
author_facet | Balashova, Elena E. Maslov, Dmitry L. Lokhov, Petr G. |
author_sort | Balashova, Elena E. |
collection | PubMed |
description | The optimization of drug therapy according to the personal characteristics of patients is a perspective direction in modern medicine. One of the possible ways to achieve such personalization is through the application of “omics” technologies, including current, promising metabolomics methods. This review demonstrates that the analysis of pre-dose metabolite biofluid profiles allows clinicians to predict the effectiveness of a selected drug treatment for a given individual. In the review, it is also shown that the monitoring of post-dose metabolite profiles could allow clinicians to evaluate drug efficiency, the reaction of the host to the treatment, and the outcome of the therapy. A comparative description of pharmacotherapy personalization (pharmacogenomics, pharmacoproteomics, and therapeutic drug monitoring) and personalization based on the analysis of metabolite profiles for biofluids (pharmacometabolomics) is also provided. |
format | Online Article Text |
id | pubmed-6164342 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61643422018-10-15 A Metabolomics Approach to Pharmacotherapy Personalization Balashova, Elena E. Maslov, Dmitry L. Lokhov, Petr G. J Pers Med Review The optimization of drug therapy according to the personal characteristics of patients is a perspective direction in modern medicine. One of the possible ways to achieve such personalization is through the application of “omics” technologies, including current, promising metabolomics methods. This review demonstrates that the analysis of pre-dose metabolite biofluid profiles allows clinicians to predict the effectiveness of a selected drug treatment for a given individual. In the review, it is also shown that the monitoring of post-dose metabolite profiles could allow clinicians to evaluate drug efficiency, the reaction of the host to the treatment, and the outcome of the therapy. A comparative description of pharmacotherapy personalization (pharmacogenomics, pharmacoproteomics, and therapeutic drug monitoring) and personalization based on the analysis of metabolite profiles for biofluids (pharmacometabolomics) is also provided. MDPI 2018-09-05 /pmc/articles/PMC6164342/ /pubmed/30189667 http://dx.doi.org/10.3390/jpm8030028 Text en © 2018 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 | Review Balashova, Elena E. Maslov, Dmitry L. Lokhov, Petr G. A Metabolomics Approach to Pharmacotherapy Personalization |
title | A Metabolomics Approach to Pharmacotherapy Personalization |
title_full | A Metabolomics Approach to Pharmacotherapy Personalization |
title_fullStr | A Metabolomics Approach to Pharmacotherapy Personalization |
title_full_unstemmed | A Metabolomics Approach to Pharmacotherapy Personalization |
title_short | A Metabolomics Approach to Pharmacotherapy Personalization |
title_sort | metabolomics approach to pharmacotherapy personalization |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164342/ https://www.ncbi.nlm.nih.gov/pubmed/30189667 http://dx.doi.org/10.3390/jpm8030028 |
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