Metabolic Profiling of a Porcine Combat Trauma-Injury Model Using NMR and Multi-Mode LC-MS Metabolomics-A Preliminary Study

Occult hypoperfusion and changes of systemic lipid levels after severe trauma: an analysis in a standardized porcine polytrauma model

BACKGROUND

Occult hypoperfusion describes the absence of sufficient microcirculation despite normal vital signs. It is known to be associated with prolonged elevation of serum lactate and later complications in severely injured patients. We hypothesized that changes in circulating lipids are related to responsiveness to resuscitation. The purpose of this study is investigating the relation between responsiveness to resuscitation and lipidomic course after poly trauma.

METHODS

Twenty-five male pigs were exposed a combined injury of blunt chest trauma, liver laceration, controlled haemorrhagic shock, and femoral shaft fracture. After 1 h, animals received resuscitation and fracture stabilization. Venous blood was taken regularly and 233 specific lipids were analysed. Animals were divided into two groups based on serum lactate level at the end point as an indicator of responsiveness to resuscitation (<2 mmol/L: responder group (R group), ≧2 mmol/L: occult hypoperfusion group (OH group)).

RESULTS

Eighteen animals met criteria for the R group, four animals for the OH group, and three animals died. Acylcarnitines showed a significant increase at 1 h compared to baseline in both groups. Six lipid subgroups showed a significant increase only in R group at 2 h. There was no significant change at other time points.

CONCLUSIONS

Six lipid groups increased significantly only in the R group at 2 h, which may support the idea that they could serve as potential biomarkers to help us to detect the presence of occult hypoperfusion and insufficient resuscitation. We feel that further study is required to confirm the role and mechanism of lipid changes after trauma.

Comparison of chemical constituents of Bupleurum marginatum var. stenophyllum and Bupleurum chinense DC. using UHPLC-Q-TOF-MS based on a metabonomics approach

The overall chemical composition of Bupleurum marginatum var. stenophyllum and Bupleurum chinense DC. was compared in this study. Metabolites were identified using ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Multivariate statistical analysis techniques such as principal component analysis were used to conduct metabonomics analysis and study the correlation between different components. Principal component analysis results showed a clear distinction among medicinal materials of different origins and divided them into different categories, consistent with the results of hierarchical cluster analysis. Both partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA) showed that the two materials could be distinguished clearly. Using PLS-DA and OPLS-DA combined with the S-plot and a variable importance in the projection (VIP) score >1, 24 differential metabolites were screened and identified; all of the metabolites were triterpenoid saponins. In addition, SPSS 25.0 and Metabo Analyst 4.0 were used to analyze significant differences in the relative contents of different compounds in the two materials. This study has successfully provided not only a new direction for research based on the chemical substances identified and the quality evaluation of Bupleuri Radix but also a better theoretical basis for the expansion of medicinal sources and their clinical application.