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NMR-based metabonomic approaches for evaluating physiological influences on biofluid composition
Mary E Bollard1, Elizabeth G Stanley, John C Lindon
1Biological Chemistry, Biomedical Sciences Division, Sir Alexander Fleming Building, Imperial College, South Kensington, London SW7 2AZ, UK. mary.bollard@imperial.ac.uk
NMR in Biomedicine
|January 1, 2005
Summary
Metabonomics using 1H NMR spectroscopy helps define normal physiological variation in animal urine. This is crucial for accurately assessing drug-induced responses and ensuring drug safety in the pharmaceutical industry.
Area of Science:
- Pharmacology and Toxicology
- Biochemistry
- Analytical Chemistry
Background:
- Genomics, proteomics, and metabonomics are increasingly used in pharmaceutical research.
- Accurate toxicological assessment requires understanding normal physiological variation.
- Drug-induced responses must be distinguished from natural biological fluctuations.
Purpose of the Study:
- To review 1H NMR spectroscopic analyses of urine metabolic composition in experimental animals.
- To explore factors influencing normal physiological variation in urine biochemistry.
- To establish the utility of metabonomics for drug safety evaluation.
Main Methods:
- 1H NMR spectroscopy for urine metabolic profiling.
- Analysis of experimental animals under various physiological conditions.
- Application of pattern recognition methods to NMR spectral data.
Main Results:
- Identified significant effects of inter-animal variation, diurnal cycles, gender, age, diet, species, strain, hormonal status, and stress on urine metabolic profiles.
- Demonstrated that pattern recognition facilitates comparison of urine NMR spectra over time.
- Highlighted the dynamic metabolic status of organisms.
Conclusions:
- Metabonomic approaches utilizing 1H NMR are effective for characterizing normal physiological variation.
- This characterization is essential for reliable drug safety assessment in the pharmaceutical industry.
- Information-rich spectroscopic data enables robust evaluation of drug-induced effects.