Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human quadriceps femoris muscle following statin treatment to identify potential biomarker candidates related to statin-induced changes in muscle metabolism

ABSTRACT: The experiment is part of a study using systems biology approach to analyze muscle gene expression and UPLC-MS based plasma lipidomics profiling data to illuminate relevant biological pathways and to find potential biomarker candidates related to statin-induced changes in muscle metabolism.

ORGANISM(S): Homo sapiens

SUBMITTER: Matej Oresic

PROVIDER: E-TABM-116 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A systems biology strategy reveals biological pathways and plasma biomarker candidates for potentially toxic statin-induced changes in muscle.

Laaksonen Reijo R Katajamaa Mikko M Päivä Hannu H Sysi-Aho Marko M Saarinen Lilli L Junni Päivi P Lütjohann Dieter D Smet Joél J Van Coster Rudy R Seppänen-Laakso Tuulikki T Lehtimäki Terho T Soini Juhani J Oresic Matej M

PloS one 20061220

<h4>Background</h4>Aggressive lipid lowering with high doses of statins increases the risk of statin-induced myopathy. However, the cellular mechanisms leading to muscle damage are not known and sensitive biomarkers are needed to identify patients at risk of developing statin-induced serious side effects.<h4>Methodology</h4>We performed bioinformatics analysis of whole genome expression profiling of muscle specimens and UPLC/MS based lipidomics analyses of plasma samples obtained in an earlier r ...[more]

PMID: 17183729

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Dataset Information

Transcription profiling of human quadriceps femoris muscle following statin treatment to identify potential biomarker candidates related to statin-induced changes in muscle metabolism

Publications

A systems biology strategy reveals biological pathways and plasma biomarker candidates for potentially toxic statin-induced changes in muscle.

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