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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...

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Autores principales: 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
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
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.
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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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