A metabolic profiling analysis of degenerative intervertebral disc disease in a rabbit model via GC/TOF-MS
Abstract Background: To establish an analytical method for studying intervertebral disc metabolomics based on gas chromatography/time-of-flight mass spectrometry (GC/TOF-MS). Methods: To establish a rabbit model of intervertebral disc degeneration, the intervertebral discs of six New Zealand white rabbits were punctured. GC/TOF-MS was applied to analyze degenerated discs of the six model group animals and six similar New Zealand white rabbits considered as the control group. Pattern recognition and nonparametric test analyses were utilized to evaluate the data as well as screen for and identify significant biomarkers. Metabolites and metabolic pathways relevant to associated pathological processes were studied. Results: We established a rabbit model of intervertebral disc degeneration and an orthogonal partial least squares-discriminant analysis (OPLS-DA) disease-distinguishing model of intervertebral disc degeneration for contrast against the typical physiological state of intervertebral discs. Expression of six metabolites in degenerated and normal intervertebral discs of New Zealand white rabbits was evaluated. Levels of four metabolites expressed in the model group were significantly higher than in the control group, while two other metabolites were expressed at significantly lower levels in the model group as compared to the control group. Conclusions: This paper demonstrates that metabolic profiling of both degenerated and normal intervertebral rabbit discs is a feasible method of metabolomic analysis. Via in-depth filtering of characteristic metabolites, we found a high correlation between metabolic variations and intervertebral disc degeneration. Further studies on endogenous metabolites and pathways involved in intervertebral disc degeneration will provide a better understanding of associated molecular mechanisms and lay foundations for effective clinical treatment.