[Show abstract][Hide abstract] ABSTRACT:
Using an NMR based approach, employing both solution state and high resolution magic angle spinning (HR MAS) 1H NMR spectroscopy, in conjunction with an array of statistical methods, we report cerebral metabolic deficits in a mouse
model of Batten disease (Cln3 null mutant mice). Batten disease is the most common progressive neurodegenerative disorder of childhood and is caused by
mutations in the Cln3 gene. In particular, brain tissue from Cln3 mice was characterised by increased concentrations of glutamine, myo-inositol, scyllo-inositol, aspartate and lactate, alongside
decreased concentrations of N-acetyl-l-aspartate (NAA), N-acetyl-l-glutamate (NAG), γ-amino butyric acid (GABA), glutamate and creatine. Accompanying changes in lipid deposition were also
detected in intact cortical tissue by HR MAS 1H NMR spectroscopy. To realise the true potential of metabolomic datasets necessitates a comprehensive analysis of the data,
such that useful biological information can be extracted and used to generate hypotheses which can be further tested and refined.
We found that using a combination of univariate and multivariate analyses, a maximal number of metabolic deficits were successfully
identified. In particular the complementary nature of the statistical approaches allowed the definition of changes which were
relative, absolute or simply a change in variance, allowing a greater understanding of the disease processes detected.