Plasma-derived extracellular vesicles (EVs) as biomarkers of sepsis in burn patients via label-free Raman spectroscopy.
Hannah J O'TooleNeona M LoweVishalakshi ArunAnna V KolesovTina L PalmieriNam K TranRandy P CarneyPublished in: Journal of extracellular vesicles (2024)
Sepsis following burn trauma is a global complication with high mortality, with ∼60% of burn patient deaths resulting from infectious complications. Diagnosing sepsis is complicated by confounding clinical manifestations of the burn injury, and current biomarkers lack the sensitivity and specificity required for prompt treatment. There is a strong rationale to assess circulating extracellular vesicles (EVs) from patient liquid biopsy as sepsis biomarkers due to their release by pathogens from bacterial biofilms and roles in the subsequent immune response. This study applies Raman spectroscopy to patient plasma-derived EVs for rapid, sensitive, and specific detection of sepsis in burn patients, achieving 97.5% sensitivity and 90.0% specificity. Furthermore, spectral differences between septic and non-septic burn patient EVs could be traced to specific glycoconjugates of bacterial strains associated with sepsis morbidity. This work illustrates the potential application of EVs as biomarkers in clinical burn trauma care and establishes Raman analysis as a fast, label-free method to specifically identify features of bacterial EVs relevant to infection amongst the host background.
Keyphrases
- label free
- acute kidney injury
- raman spectroscopy
- septic shock
- intensive care unit
- end stage renal disease
- wound healing
- immune response
- case report
- ejection fraction
- chronic kidney disease
- newly diagnosed
- healthcare
- prognostic factors
- peritoneal dialysis
- risk factors
- clinical trial
- magnetic resonance imaging
- type diabetes
- optical coherence tomography
- inflammatory response
- cardiovascular disease
- patient reported outcomes
- chronic pain
- computed tomography
- magnetic resonance
- ionic liquid
- coronary artery disease
- antimicrobial resistance
- quantum dots