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An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach
BACKGROUND: Simvastatin, which is used to control elevated cholesterol levels, is one of the most widely prescribed drugs. However, a daily excessive dose can induce drug-toxicity, especially in muscle and liver. Current markers for toxicity reflect mostly the late stages of tissue damage; thus, mor...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043067/ https://www.ncbi.nlm.nih.gov/pubmed/21364936 http://dx.doi.org/10.1371/journal.pone.0016641 |
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author | Yang, Hye-ji Choi, Myung-Joo Wen, He Kwon, Hyuk Nam Jung, Kyung Hee Hong, Sang-Won Kim, Joon Mee Hong, Soon-Sun Park, Sunghyouk |
author_facet | Yang, Hye-ji Choi, Myung-Joo Wen, He Kwon, Hyuk Nam Jung, Kyung Hee Hong, Sang-Won Kim, Joon Mee Hong, Soon-Sun Park, Sunghyouk |
author_sort | Yang, Hye-ji |
collection | PubMed |
description | BACKGROUND: Simvastatin, which is used to control elevated cholesterol levels, is one of the most widely prescribed drugs. However, a daily excessive dose can induce drug-toxicity, especially in muscle and liver. Current markers for toxicity reflect mostly the late stages of tissue damage; thus, more efficient methods of toxicity evaluation are desired. METHODOLOGY/PRINCIPAL FINDINGS: As a new way to evaluate toxicity, we performed NMR-based metabonomics analysis of urine samples. Compared to conventional markers, such as AST, ALT, and CK, the urine metabolic profile provided clearer distinction between the pre- and post-treatment groups treated with toxic levels of simvastatin. Through multivariate statistical analysis, we identified marker metabolites associated with the toxicity. Importantly, we observed that the treatment group could be further categorized into two subgroups based on the NMR profiles: weak toxicity (WT) and high toxicity (HT). The distinction between these two groups was confirmed by the enzyme values and histopathological exams. Time-dependent studies showed that the toxicity at 10 days could be reliably predicted from the metabolic profiles at 6 days. CONCLUSIONS/SIGNIFICANCE: This metabonomics approach may provide a non-invasive and effective way to evaluate the simvastatin-induced toxicity in a manner that can complement current measures. The approach is expected to find broader application in other drug-induced toxicity assessments. |
format | Text |
id | pubmed-3043067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30430672011-03-01 An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach Yang, Hye-ji Choi, Myung-Joo Wen, He Kwon, Hyuk Nam Jung, Kyung Hee Hong, Sang-Won Kim, Joon Mee Hong, Soon-Sun Park, Sunghyouk PLoS One Research Article BACKGROUND: Simvastatin, which is used to control elevated cholesterol levels, is one of the most widely prescribed drugs. However, a daily excessive dose can induce drug-toxicity, especially in muscle and liver. Current markers for toxicity reflect mostly the late stages of tissue damage; thus, more efficient methods of toxicity evaluation are desired. METHODOLOGY/PRINCIPAL FINDINGS: As a new way to evaluate toxicity, we performed NMR-based metabonomics analysis of urine samples. Compared to conventional markers, such as AST, ALT, and CK, the urine metabolic profile provided clearer distinction between the pre- and post-treatment groups treated with toxic levels of simvastatin. Through multivariate statistical analysis, we identified marker metabolites associated with the toxicity. Importantly, we observed that the treatment group could be further categorized into two subgroups based on the NMR profiles: weak toxicity (WT) and high toxicity (HT). The distinction between these two groups was confirmed by the enzyme values and histopathological exams. Time-dependent studies showed that the toxicity at 10 days could be reliably predicted from the metabolic profiles at 6 days. CONCLUSIONS/SIGNIFICANCE: This metabonomics approach may provide a non-invasive and effective way to evaluate the simvastatin-induced toxicity in a manner that can complement current measures. The approach is expected to find broader application in other drug-induced toxicity assessments. Public Library of Science 2011-02-22 /pmc/articles/PMC3043067/ /pubmed/21364936 http://dx.doi.org/10.1371/journal.pone.0016641 Text en Yang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yang, Hye-ji Choi, Myung-Joo Wen, He Kwon, Hyuk Nam Jung, Kyung Hee Hong, Sang-Won Kim, Joon Mee Hong, Soon-Sun Park, Sunghyouk An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach |
title | An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach |
title_full | An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach |
title_fullStr | An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach |
title_full_unstemmed | An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach |
title_short | An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach |
title_sort | effective assessment of simvastatin-induced toxicity with nmr-based metabonomics approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3043067/ https://www.ncbi.nlm.nih.gov/pubmed/21364936 http://dx.doi.org/10.1371/journal.pone.0016641 |
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