An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach

BACKGROUND: Simvastatin, which is used to control elevated cholesterol levels, is one of the most widely prescribed drugs. However, a daily excessive dose can induce drug-toxicity, especially in muscle and liver. Current markers for toxicity reflect mostly the late stages of tissue damage; thus, more efficient methods of toxicity evaluation are desired. METHODOLOGY/PRINCIPAL FINDINGS: As a new way to evaluate toxicity, we performed NMR-based metabonomics analysis of urine samples. Compared to conventional markers, such as AST, ALT, and CK, the urine metabolic profile provided clearer distinction between the pre- and post-treatment groups treated with toxic levels of simvastatin. Through multivariate statistical analysis, we identified marker metabolites associated with the toxicity. Importantly, we observed that the treatment group could be further categorized into two subgroups based on the NMR profiles: weak toxicity (WT) and high toxicity (HT). The distinction between these two groups was confirmed by the enzyme values and histopathological exams. Time-dependent studies showed that the toxicity at 10 days could be reliably predicted from the metabolic profiles at 6 days. CONCLUSIONS/SIGNIFICANCE: This metabonomics approach may provide a non-invasive and effective way to evaluate the simvastatin-induced toxicity in a manner that can complement current measures. The approach is expected to find broader application in other drug-induced toxicity assessments

A study of metabolic compartmentation in the rat heart and cardiac mitochondria using high-resolution magic angle spinning 1H NMR spectroscopy.

High-resolution magic angle spinning (MAS) (1)H nuclear magnetic resonance (NMR) spectroscopy is increasingly being used to monitor metabolic abnormalities within cells and intact tissues. Many toxicological insults and metabolic diseases affect subcellular organelles, particularly mitochondria. In this study high-resolution (1)H NMR spectroscopy was used to examine metabolic compartmentation between the cytosol and mitochondria in the rat heart to investigate whether biomarkers of mitochondrial dysfunction could be identified and further define the mitochondrial environment. High-resolution MAS spectra of mitochondria revealed NMR signals from lactate, alanine, taurine, choline, phosphocholine, creatine, glycine and lipids. However, spectra from mitochondrial extracts contained additional well-resolved resonances from valine, methionine, glutamine, acetoacetate, succinate, and aspartate, suggesting that a number of metabolites bound within the mitochondrial membranes occur in 'NMR invisible' environments. This effect was further investigated using diffusion-weighted measurements of water and NMR spectroscopy during state 2 and state 3 respiration. State 3 respiration caused a decrease in the resonance intensity of endogenous succinate compared with state 2 respiration, suggesting that coupled respiration may also modulate the NMR detection of metabolites within mitochondria

A combination of metabolomics and metallomics studies of urine and serum from hypercholesterolaemic rats after berberine injection

10.1007/s00216-012-5923-9Analytical and Bioanalytical Chemistry4033847-856ABCN

The use of high-resolution (1)H nuclear magnetic resonance (NMR) spectroscopy in the clinical diagnosis of Acanthamoeba

Acanthamoeba are opportunistic protozoan pathogens that can produce sight-threatening keratitis and fatal granulomatous encephalitis. The successful prognosis requires early diagnosis and differentiation of pathogenic Acanthamoeba spp. followed by aggressive treatment regimen. In this study, we tested the use of high-resolution (1)H NMR spectroscopy in the clinical diagnosis of Acanthamoeba. Using NMR spectroscopy combined with Pattern Recognition Analysis (PRA), we analysed variations in the biochemical 'fingerprint' of invasive and non-invasive Acanthamoeba, its closely related genus, Balamuthia mandrillaris, neuropathogenic Escherichia coli K1 strain E44, a laboratory strain of E. coli K-12, HB101, mammalian cells including human brain microvascular endothelial cells and monkey kidney cells. The findings revealed significant variations in the metabolites of amoebae, mammalian cells and bacteria. Interestingly, (1)H NMR spectra provided distinct biochemical profiles of clinical and non-clinical Acanthamoeba isolates highlighting the potential of (1)H NMR spectroscopy combined with PRA for the development of a novel diagnostic test that could rapidly identify pathogenic Acanthamoeba isolates with high sensitivity and specificity