Sepsis Diagnostics: Intensive Care Scoring Systems Superior to MicroRNA Biomarker Testing

Evaluation of circulating levels of miR-135a and miR-193 in patients with sepsis

BACKGROUND

Sepsis is a life-threatening condition where early diagnosis and prognostic awareness provide guidance for selecting the appropriate treatment strategies. A wide variety of biomarker-based studies in clinical medicine provide new insights into personalized medicine for sepsis patients. MiRNAs are endogenous non-coding RNA molecules that have been acting as great potential diagnostic, prognostic and therapeutic biomarkers in various diseases.

METHODS AND RESULTS

In the present study, the expression levels of two selected miRNAs, including miR-135a and miR-193, were evaluated for their prognostic potential in patients with sepsis. The circulating levels of miRNAs were quantified by quantitative PCR (qPCR) in patients with sepsis (n = 100) and age- and sex-matched healthy controls (n = 100). Statistical findings confirmed the valuable prognostic potential of miR-135a in patients with sepsis, while no significant difference was found between the miR-193 expression level in the patients with sepsis and the controls.

CONCLUSIONS

Circulating levels of miRNA-135a can serve a the prognostic biomarker for patients with sepsis. These findings highlight the importance of miRNAs as signatures in the personalized managements of sepsis.

Digital PCR applications for the diagnosis and management of infection in critical care medicine

Infection (either community acquired or nosocomial) is a major cause of morbidity and mortality in critical care medicine. Sepsis is present in up to 30% of all ICU patients. A large fraction of sepsis cases is driven by severe community acquired pneumonia (sCAP), which incidence has dramatically increased during COVID-19 pandemics. A frequent complication of ICU patients is ventilator associated pneumonia (VAP), which affects 10–25% of all ventilated patients, and bloodstream infections (BSIs), affecting about 10% of patients. Management of these severe infections poses several challenges, including early diagnosis, severity stratification, prognosis assessment or treatment guidance. Digital PCR (dPCR) is a next-generation PCR method that offers a number of technical advantages to face these challenges: it is less affected than real time PCR by the presence of PCR inhibitors leading to higher sensitivity. In addition, dPCR offers high reproducibility, and provides absolute quantification without the need for a standard curve. In this article we reviewed the existing evidence on the applications of dPCR to the management of infection in critical care medicine. We included thirty-two articles involving critically ill patients. Twenty-three articles focused on the amplification of microbial genes: (1) four articles approached bacterial identification in blood or plasma; (2) one article used dPCR for fungal identification in blood; (3) another article focused on bacterial and fungal identification in other clinical samples; (4) three articles used dPCR for viral identification; (5) twelve articles quantified microbial burden by dPCR to assess severity, prognosis and treatment guidance; (6) two articles used dPCR to determine microbial ecology in ICU patients. The remaining nine articles used dPCR to profile host responses to infection, two of them for severity stratification in sepsis, four focused to improve diagnosis of this disease, one for detecting sCAP, one for detecting VAP, and finally one aimed to predict progression of COVID-19. This review evidences the potential of dPCR as a useful tool that could contribute to improve the detection and clinical management of infection in critical care medicine.