Metabolic Changes in Serum in the Rat Model of Cauda Equina Injury

Abstract

Objective: To identify the potent metabolic biomarkers of cauda equina injury (CEI).

Methods: A total of 50 Sprague-Dawley rats were used to establish the CEI model in this study. The serum was collected at 12 hours, 1 day, 2 days, and 7 days after surgery. Ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was performed to analyze metabolic changes in the serum of the CEI rats from different groups. The differences between the metabolic profiles of the rats in 5 groups were analyzed using partial least squares discriminant analysis (PLS-DA).

Results: Metabolic profiling revealed significant differences between the sham operated and other groups. A total of 57 potential CEI metabolite biomarkers were identified between the sham operated group and the model groups at the different time points. Principal component analysis and PLS-DA analyses revealed clear segregation between CEI versus sham operation group. These potential biomarkers appear in 15 metabolic pathways.

Conclusions: Using metabolomic analysis, we were able to identify the novel serum biomarkers of CEI that may be relevant to the diagnosis and prognosis of CEI. In addition, our pathway analysis provides important insights into the etiology of CEI and a basis for clinical diagnosis, locating biomarkers in the early stages of the pathological process.

Keywords: Biomarker; Cauda equina injury; Metabolomics; UHPLC/Q-TOF-MS.