Related Experiment Video
Updated: Feb 6, 2026

Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
Plasma metabolic profiling analysis of neurotoxicity induced by oxaliplatin using metabonomics and multivariate data
Yanyan Xu1,2, Yiwei Zhao1,2, Xuejun Guo1,2
1School of Chinese Materia Medica , Tianjin University of Traditional Chinese Medicine , 312 Anshan West Road , Nankai District , Tianjin 300193 , China.
Abstract:
Oxaliplatin is a third generation antitumor agent, which is often used in treating advanced colorectal cancer, but the use of oxaliplatin is limited by its side effects, especially peripheral nerve toxicity. Metabonomics techniques, as a holistic analytical technique, could provide basic information on the metabolic profile of biological fluids during drug administration. In this study, we used the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) technique to analyze rat plasma samples collected seven days after oxaliplatin administration. The changes of metabolites in plasma samples were evaluated by principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA), and 15 kinds of neurotoxicity-related biomarkers were screened. The metabolic pathways of interference involved amino acid biosynthesis and metabolism, glycerophospholipid metabolism, sphingolipid metabolism and so on. The biomarkers found in this study are significant for the study of neurotoxicity.
Related Concept Videos
Analysis of Population Pharmacokinetic Data
Overview of Microsoft Excel as a Data Analysis Tool
Performing a Simple Data Analysis using MS-Excel Function
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
Statistical Software for Data Analysis and Clinical Trials
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...

