Metabonomics evaluations of age-related changes in the urinary compositions of male Sprague Dawley rats and effects of data norm

Background: Urine from male Sprague-Dawley rats 25, 40, and 80 days old was analyzed by NMR and UPLC/MS. The effects of data normalization procedures on principal component analysis (PCA) and quantitative analysis of NMR-based metabonomics data were investigated. Additionally, the effects of age on the metabolic profiles were examined by both NMR and UPLC/MS analyses. Results: The data normalization factor was shown to have a great impact on the statistical and quantitative results indicating the need to carefully consider how to best normalize the data within a particular study and when comparing different studies. PCA applied to the data obtained from both NMR and UPLC/MS platforms reveals similar age-related differences. NMR indicated many metabolites associated with the Krebs cycle decrease while citrate and 2-oxoglutarate, also associated with the Krebs cycle, increase in older rats. Conclusion: This study compared four different normalization methods for the NMR-based metabonomi...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Laura K. Schnackenberg, Jinchun Sun, Parvaneh Espandiari, Ricky D. Holland, Joseph Hanig, Richard D. Beger
• Keywords: BMCBI 2007, Data Normalization, Normalization Factor, Normalization Method