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Institute for Biodiagnostics, National Research Council of Canada, Winnipeg R3B 1Y6; and Department of Anatomy, University of Manitoba, Winnipeg, Manitoba R3E 0W3, Canada
Received 14 March 1996; accepted in final form 26 June 1996.
Shaw, R. A., H. H. Mantsch, and J. E. Anderson.
Infrared spectroscopy of dystrophic
mdx mouse muscle tissue distinguishes among treatment groups. J. Appl.
Physiol. 81(5): 2328-2335, 1996.
Four groups of
mdx mice (deflazacort, high dose of
1.5 mg/kg and low dose of 0.75 mg/kg; prednisone, 1.0 mg/kg; and a
placebo) were examined in a double-blind protocol. The experiments
tested the hypothesis that infrared spectroscopy can distinguish among
gastrocnemius muscle tissues derived from dystrophic animals
(n = 22) from different treatment
groups and from control muscle tissue
(n = 23). Results showed that muscle,
inflamed muscle, and tendon can be distinguished on the basis of their
infrared absorption patterns. Distinctions among the spectra of the
four treatment groups were sought with automated pattern-recognition
methods. These classification methods, based either on spectral regions
(900-1,500 cm
1) or
on principal-component analysis, were in close agreement, assigning 15 or 16, respectively, of 22 mdx spectra
to the correct treatment group. Both trials cleanly separated the
high-dose deflazacort from the placebo group of muscles, whereas the
prednisone and low-dose deflazacort groups were persistently confused
in these classifications. Changes in the histology of muscle
inflammation paralleled the spectral-classification results. Thus the
proposed method, combining infrared spectroscopy with
pattern-recognition algorithms, can distinguish treatment effects on
muscle tissue. Specific spectral features characteristic of tissue
type, disease progression, and treatment effects are not yet
elucidated.
muscular dystrophy; deflazacort; automated classification; linear discriminant analysis
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