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Fourier transform infrared imaging spectroscopy (FTIRI)-assessed bone composition parameters (mineral content, collagen maturity, crystal size and perfection, and carbonate content) describe bone quality and correlate to bone fracture risk. The challenge with studying bone quality in patients treated with antiresorptive drugs such as bisphosphonates (e.g., alendronate) and selective estrogen receptor modulators (SERMs) (e.g. raloxifene) is being able to test bone mechanical performance and material properties pre- and posttreatment. The purpose of this study was to evaluate the FTIRI changes in a large animal model of osteoporosis (female sheep with dietary induced metabolic acidosis; MA). Previous studies have investigated the relationship between bone material properties and bone strength in humans and smaller animals and have shown that changes in compositional properties influence fracture risk. Here we characterize the MA model at 6 and 12 months, demonstrate the loss of bone and changes in compositional properties, and show that 6 months of treatment with both antiresorptives ameliorate the bone loss as assessed by bone mineral density and FTIRI. This preliminary data suggest that the MA sheep model allows investigation of whether drug treatments preserve bone properties that exist at the time of treatment or if they induce further beneficial changes.

Spectroscopic assessment of whether a biological sample has changed as a result of processing or degradation is generally carried out by qualitative comparison of spectra, without statistical analysis, resulting in a subjective evaluation of sample stability. Here, we present a formalism for quantitative statistical comparison of signal-averaged Fourier transform infrared spectra, commonly used to assess molecular properties of biological samples. Expressions are derived permitting the comparison of 1. single beam spectra; 2. transmittance spectra obtained by calculating the ratio of single beam spectra of a sample and background; and 3. absorbance spectra derived from transmittance spectra. An application of these results to the degradation of cartilage is presented. Two absorbance spectra of a cartilage sample taken in succession are found to be statistically identical with respect to the ratio of the amplitude of the amide I band to the amplitude of the amide II band. However, a spectrum of the same sample acquired after a 24-h degradation period, while similar to the spectrum of the fresh sample, is found to have an altered ratio of these spectral band amplitudes, consistent with degradation of the cartilage matrix.

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