APRIL and sTACI could be predictors of multiorgan dysfunction syndrome in sepsis.
Dajana F LendakDunja M MihajlovićAleksandra S Novakov-MikićJasmina M BobanMilan UbavićSnežana V BrkićPublished in: Virulence (2018)
Although the role of B cells in sepsis immunoregulation has become an interesting topic, there is lack of data on the role of B cell function regulators in prediction of multiorgan dysfunction syndrome (MODS). The aim of this study was to evaluate the prognostic value of A Proliferation Inducing Ligand (APRIL) and soluble Transmembrane Activator and CAML Interactor Protein (sTACI), the main B cell function regulators, in prediction of MODS development within the first 48 h after admission to intensive care unit, among septic patients. We included 112 patients with sepsis, treated at Clinic for Infectious Diseases and Emergency Center, Clinical Center of Vojvodina, Novi Sad, Serbia. Plasma concentrations of APRIL and sTACI were determined at the admission and potential development of MODS was confirmed in the first 48 h. Concentrations of APRIL (p = 0.003) and sTACI (p<0.001) were higher in patients who developed MODS (n = 30). ROC curve analysis showed that AUC for sTACI (AUC = 0.764) was greater than that for procalcitonin (AUC = 0.719) and APRIL (AUC = 0.673) in MODS development prediction. Multivariate regression analysis showed that sTACI, as an anti-inflammatory biomarker stimulating the apoptosis of B cells, was the only independent predictor of MODS, beside SOFA score. Elevated level of sTACI could be the alarm for the increased B cell apoptosis and development of immune paralysis. Including these biomarkers into predictive scores specific for septic patients may potentially improve their sensitivity and specificity. Measurement of their concentrations dynamics could contribute to better assessment of sepsis evolution and timely introduction of immunomodulatory therapy.
Keyphrases
- intensive care unit
- acute kidney injury
- end stage renal disease
- newly diagnosed
- emergency department
- ejection fraction
- septic shock
- anti inflammatory
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- healthcare
- cell proliferation
- transcription factor
- cell death
- case report
- machine learning
- mechanical ventilation
- signaling pathway
- big data
- small molecule
- pi k akt
- bone marrow
- artificial intelligence
- risk assessment
- smoking cessation
- nuclear factor
- cell cycle arrest
- extracorporeal membrane oxygenation