Concerns about ion
suppression, spectral contamination, or interference
have led to avoidance of polymers in mass spectrometry (MS)-based
metabolomics. This avoidance, however, has left many biochemical fields
underexplored, including wounds, which are often treated with adhesive
bandages. Here, we found that despite previous concerns, the addition
of an adhesive bandage can still result in biologically informative
MS data. Initially, a test LC-MS analysis was performed on a mixture
of known chemical standards and a polymer bandage extract. Results
demonstrated successful removal of many polymer-associated features
through a data processing step. Furthermore, the bandage presence
did not interfere with metabolite annotation. This method was then
implemented in the context of murine surgical wound infections covered
with an adhesive bandage and inoculated with Staphylococcus
aureus, Pseudomonas aeruginosa, or a 1:1 mix of these pathogens. Metabolites were extracted and
analyzed by LC-MS. On the bandage side, we observed a greater impact
of infection on the metabolome. Distance analysis showed significant
differences between all conditions and demonstrated that coinfected
samples were more similar to S. aureus-infected
samples compared to P. aeruginosa-infected samples.
We also found that coinfection was not merely a summative effect of
each monoinfection. Overall, these results represent an expansion
of LC-MS-based metabolomics to a novel, previously under-investigated
class of samples, leading to actionable biological information.