@article{harrigan:2004:TXL,
title = {Application of high-throughput Fourier-transform
infrared spectroscopy in toxicology studies:
contribution to a study on the development of an animal
model for idiosyncratic toxicity},
author = {George G. Harrigan and Roxanne H. LaPlante and Greg N. Cosma and Gary Cockerell and Royston Goodacre and Jane F. Maddox and James P. Luyendyk and Patricia E. Ganey and Robert A. Roth},
journal = {Toxicology Letters},
month = {2 February},
number = {3},
pages = {197--205},
volume = {146},
year = {2004},
abstract = {An evaluation of high-throughput Fourier-transform
infrared spectroscopy (FT-IR) as a technology that
could support a {"}metabonomics{"} component in
toxicological studies of drug candidates is presented.
The hypothesis tested in this study was that FT-IR had
sufficient resolving power to discriminate between
urine collected from control rat populations and rats
subjected to treatment with a potent inflammatory
agent, bacterial lipopolysaccharide (LPS). It was also
hypothesized that co-administration of LPS with
ranitidine, a drug associated with reports of
idiosyncratic susceptibility, would induce
hepatotoxicity in rats and that this could be detected
non-invasively by an FT-IR-based metabonomics approach.
The co-administration of LPS with {"}idiosyncratic{"}
drugs represents an attempt to develop a predictive
model of idiosyncratic toxicity and FT-IR is used
herein to support characterization of this model. FT-IR
spectra are high dimensional and the use of genetic
programming to identify spectral sub-regions that most
contribute to discrimination is demonstrated. FT-IR is
rapid, reagentless, highly reproducible and
inexpensive. Results from this pilot study indicate it
could be extended to routine applications in toxicology
and to supporting characterization of a new animal
model for idiosyncratic susceptibility.},
notes = {Pharmacia Corporation, GMax-Bio}, doi = {doi:10.1016/j.toxlet.2003.09.011},
keywords = {Bacterial High-throughput Idiosyncratic Metabonomics algorithms, genetic infrared lipopolysaccharide, programming, spectroscopy, toxicity, }
}
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