Infrared spectroscopy of dystrophic mdx mouse muscle tissue distinguishes among treatment groups

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TypeArticle
Journal titleJournal of Applied Physiology
ISSN8750-7587
1522-1601
Volume81
Issue5
Pages23282335; # of pages: 8
Subjectmuscular dystrophy; deflazacort; automated classification; linear discriminant analysis
AbstractInfrared spectroscopy of dystrophicmdx mouse muscle tissue distinguishes among treatment groups. J. Appl. Physiol. 81(5): 2328–2335, 1996.—Four groups ofmdx 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.
Publication date
PublisherAmerican Physiological Society
Linkhttp://jap.physiology.org/content/81/5/2328
LanguageEnglish
AffiliationNRC Institute for Biodiagnostics; National Research Council Canada
Peer reviewedYes
NRC number437
NPARC number9147806
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Record identifierc91c1caf-d849-41c8-ae4c-79264509304b
Record created2009-06-25
Record modified2016-11-15
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