Sepsis is a life-threatening condition that is responsible for ~20% of all global deaths each year. For every hour antibiotic treatment is delayed in bacterial sepsis, the odds of mortality increase by 9% [1]. The reference standard tests for bacterial sepsis (blood cultures) take 24-48 hours to complete. Consequently, antibiotics are often used empirically in the absence of a confirmed bacterial diagnosis. Several biomarker tests have been developed to more rapidly distinguish bacterial sepsis from non-infectious systemic inflammation, including C-reactive protein (CRP) and procalcitonin (PCT), with varying success.
MicroRNAs (miRNAs) are short non-coding RNAs that function as post-transcriptional gene regulators and are promising biomarkers of infectious diseases [2]. To test their utility in identifying bacterial sepsis, we recruited and sampled plasma from adult ICU patients at the Royal Brisbane and Women’s, Redcliffe, and Gold Coast University Hospitals (with ethics approval from Metro North Health and CSIRO). Patients were grouped retrospectively into aseptic inflammation (n=27), blood culture positive sepsis (BCpos, n=23), or blood culture negative sepsis (BCneg, n=30). Of the 632 miRNAs identified in these samples via NGS, machine learning identified a 3-miRNA signature (3-miR) that distinguished BCpos patients from systemic inflammation with an ROC area of 0.93 [95% CI, 0.852–1.0]. This signature outperformed CRP (aROC 0.72 [0.608–0.832]) and was comparable to PCT (aROC 0.98 [0.938–1.0]). Both CRP and PCT displayed a lower aROC (0.63 [0.486–0.774] and 0.7 [0.565–0.835] respectively) in distinguishing BCneg patients, while 3-miR displayed sustained performance (aROC 0.96 [0.908–1.0]), suggesting that this signature may offer increased sensitivity in distinguishing bacterial sepsis.
This pilot study highlights the potential of miRNA biomarkers in differentiating bacterial sepsis from other causes of systemic inflammation, thereby increasing clinicians’ diagnostic confidence, reducing unnecessary antibiotic use and improving patient outcomes.