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Drug Safety Evaluation

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Cover of 'Drug Safety Evaluation'

Table of Contents

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    Book Overview
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    Chapter 1 Nonclinical Development of Combination Drugs
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    Chapter 2 Juvenile Nonclinical Safety Studies in Support of Pediatric Drug Development
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    Chapter 3 Procedures of Necropsy and Tissue Sampling
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    Chapter 4 Tissue Sampling and Processing for Histopathology Evaluation
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    Chapter 5 Principles and Methods of Immunohistochemistry
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    Chapter 6 Applications of Mass Spectrometry Imaging for Safety Evaluation
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    Chapter 7 In Vivo Rat T-Lymphocyte Pig-a Assay: Detection and Expansion of Cells Deficient in the GPI-Anchored CD48 Surface Marker for Analysis of Mutation in the Endogenous Pig-a Gene
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    Chapter 8 Detection of In Vivo Mutation in the Pig-a Gene of Mouse Bone Marrow Erythroids
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    Chapter 9 The Use of Bacterial Repair Endonucleases in the Comet Assay
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    Chapter 10 Automated Patch-Clamp Methods for the hERG Cardiac Potassium Channel
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    Chapter 11 Impedance Measurement in Induced Pluripotent Stem Cell-Derived Cardiomyocytes
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    Chapter 12 Target Safety Assessment: Strategies and Resources
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    Chapter 13 NMR and MS Methods for Metabolomics
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    Chapter 14 Protocols and Applications of Cellular Metabolomics in Safety Studies Using Precision-Cut Tissue Slices and Carbon 13 NMR
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    Chapter 15 Statistical Analysis of Quantitative RT-PCR Results
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    Chapter 16 Evaluation of Mitochondrial Respiration in Cultured Rat Hepatocytes
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    Chapter 17 FETAX Assay for Evaluation of Developmental Toxicity
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    Chapter 18 Evaluation of Embryotoxicity Using the Zebrafish Model
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    Chapter 19 Absolute Quantification of Toxicological Biomarkers via Mass Spectrometry
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    Chapter 20 Next-Generation Sequencing to Investigate Urinary microRNAs from Macaca fascicularis (Cynomolgus Monkey)
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    Chapter 21 Quantitative RT-PCR for MicroRNAs in Biofluids
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    Chapter 22 Chromogenic In Situ Hybridization Methods for microRNA Biomarker Monitoring of Drug Safety and Efficacy
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    Chapter 23 Urine Exosome Isolation and Characterization
Attention for Chapter 13: NMR and MS Methods for Metabolomics
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Chapter title
NMR and MS Methods for Metabolomics
Chapter number 13
Book title
Drug Safety Evaluation
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-7172-5_13
Pubmed ID
Book ISBNs
978-1-4939-7170-1, 978-1-4939-7172-5
Authors

Alexander Amberg, Björn Riefke, Götz Schlotterbeck, Alfred Ross, Hans Senn, Frank Dieterle, Matthias Keck

Abstract

Metabolomics, also often referred as "metabolic profiling," is the systematic profiling of metabolites in biofluids or tissues of organisms and their temporal changes. In the last decade, metabolomics has become more and more popular in drug development, molecular medicine, and other biotechnology fields, since it profiles directly the phenotype and changes thereof in contrast to other "-omics" technologies. The increasing popularity of metabolomics has been possible only due to the enormous development in the technology and bioinformatics fields. In particular, the analytical technologies supporting metabolomics, i.e., NMR, UPLC-MS, and GC-MS, have evolved into sensitive and highly reproducible platforms allowing the determination of hundreds of metabolites in parallel. This chapter describes the best practices of metabolomics as seen today. All important steps of metabolic profiling in drug development and molecular medicine are described in great detail, starting from sample preparation to determining the measurement details of all analytical platforms, and finally to discussing the corresponding specific steps of data analysis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 14%
Student > Ph. D. Student 12 12%
Student > Bachelor 12 12%
Researcher 10 10%
Professor 7 7%
Other 14 14%
Unknown 28 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 23%
Chemistry 11 11%
Pharmacology, Toxicology and Pharmaceutical Science 8 8%
Agricultural and Biological Sciences 7 7%
Medicine and Dentistry 7 7%
Other 12 12%
Unknown 30 31%